Lehigh Valley Phantoms
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Philadelphia Flyers 42-27-8, 92pts	4	FINAL	2	Winnipeg Jets 38-32-6, 82pts

Team Stats
W5	Séquence	L2
26-11-2	Fiche domicile	22-14-3
16-16-6	Fiche visiteur	16-18-3
8-2-0	Derniers 10 matchs	6-4-0
3.19	Buts par match	3.07
3.06	Buts contre par match	3.30
14.67%	Pourcentage en avantage numérique	14.61%
87.64%	Pourcentage en désavantage numérique	83.96%

Edmonton Oilers
39-33-5, 83pts

FINAL

Philadelphia Flyers
42-27-8, 92pts

Team Stats
L1	Séquence	W5
21-14-3	Fiche domicile	26-11-2
18-19-2	Fiche visiteur	16-16-6
2-6-2	Derniers 10 matchs	8-2-0
3.26	Buts par match	3.19
3.18	Buts contre par match	3.06
13.14%	Pourcentage en avantage numérique	14.67%
82.50%	Pourcentage en désavantage numérique	87.64%

Pittsburgh Penguins
37-26-13, 87pts

Jour 180

Philadelphia Flyers
42-27-8, 92pts

Statistiques d’équipe
W2	Séquence	W5
20-12-7	Fiche domicile	26-11-2
17-14-6	Fiche visiteur	16-16-6
6-3-1	10 derniers matchs	8-2-0
3.11	Buts par match	3.19
2.95	Buts contre par match	3.19
11.79%	Pourcentage en avantage numérique	14.67%
85.19%	Pourcentage en désavantage numérique	87.64%

Philadelphia Flyers
42-27-8, 92pts

Jour 183

Washington Capitals
45-20-11, 101pts

Statistiques d’équipe
W5	Séquence	L3
26-11-2	Fiche domicile	19-13-5
16-16-6	Fiche visiteur	26-7-6
8-2-0	10 derniers matchs	5-4-1
3.19	Buts par match	3.36
3.06	Buts contre par match	3.36
14.67%	Pourcentage en avantage numérique	16.67%
87.64%	Pourcentage en désavantage numérique	85.19%

Buffalo Sabres
28-38-10, 66pts

Jour 185

Philadelphia Flyers
42-27-8, 92pts

Statistiques d’équipe
L3	Séquence	W5
16-18-4	Fiche domicile	26-11-2
12-20-6	Fiche visiteur	16-16-6
2-5-3	10 derniers matchs	8-2-0
2.86	Buts par match	3.19
3.53	Buts contre par match	3.19
14.51%	Pourcentage en avantage numérique	14.67%
78.68%	Pourcentage en désavantage numérique	87.64%

Meneurs d'équipe
	Buts Nathan Horton 36	Passes Oscar Moller 42

	Points Oscar Moller 70	Plus/Moins Gilbert Brule 16

	Victoires Thomas McCollum 28	Pourcentage d’arrêts Thomas McCollum 0.93

Statistiques d’équipe
Buts pour 246 3.19 GFG	Tirs pour 3058 39.71 Avg	Pourcentage en avantage numérique 14.7% 27 GF	Début de zone offensive 39.9%
Buts contre 236 3.06 GAA	Tirs contre 3041 39.49 Avg	Pourcentage en désavantage numérique 87.6%% 22 GA	Début de la zone défensive 39.1%

Informations de l'équipe
	Directeur général	Interim
	Entraîneur	Jacques Lemaire
	Division	Eastern
	Conférence	Circuit Jodoin
	Capitaine	Nathan Horton
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	20,000
	Assistance	18,962
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	27
	Limite contact	50 / 75
	Espoirs	6
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	69,892,900$
	Plafond salarial disponible	15,107,100$
	Valeur du plafond salarial spécial	250,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	35,975,328$
	Dépenses annuelles à ce jour	63,171,811$
	Revenus de la saison estimés	1,844,889$
	Dépenses de la saison estimées	4,089,855$
	Compte bancaire actuel	27,710,211$
	Compte bancaire projeté	25,807,783$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Nathan Horton (C)			X		100.00	99	87	58	83	81	87	88	99	83	99	99	85	82	99	99	19	99	84		0	38	1	6,200,000$
2	Oscar Moller	X		X		99.00	48	14	99	86	73	82	83	89	85	87	89	58	73	83	96	22	99	75		0	34	3	5,200,000$
3	Jared Boll			X		100.00	99	99	53	85	75	82	79	89	66	85	89	58	75	85	84	32	99	75		0	37	2	7,000,000$
4	Marco Rossi (R)	X				100.00	71	32	80	77	73	84	82	90	80	80	78	74	71	54	70	82	99	73		0	21	5	2,500,000$
5	Daniel Winnik	X	X	X		99.00	89	63	67	87	79	76	78	84	86	83	78	62	64	84	85	28	99	73		0	38	1	6,116,900$
6	Gilbert Brule	X				100.00	32	6	98	87	73	82	80	78	86	73	75	67	70	99	99	37	99	71	N	0	36	2	501,000$
7	Jaden Schwartz	X	X			100.00	38	1	99	89	76	83	83	79	85	75	71	74	72	70	76	40	99	71	N	0	31	3	3,850,000$
8	Dmitri Jaskin		X	X		100.00	66	30	82	87	77	85	83	80	54	69	74	68	72	80	79	47	99	71		0	30	1	1,000,000$
9	Colle Cassels	X				100.00	92	57	62	80	74	79	81	74	87	71	71	73	65	73	82	52	99	71		0	28	3	1,500,000$
10	Scott Kosmachuk			X		100.00	81	50	76	84	76	79	83	75	49	71	75	65	70	80	75	47	99	70		0	29	2	1,800,000$
11	Karl Henriksson	X	X			100.00	67	26	80	82	72	70	74	84	80	78	71	71	68	63	73	70	99	70		0	22	1	1,200,000$
12	Brett Howden	X				100.00	80	43	73	77	77	78	80	71	87	66	69	78	71	70	84	72	99	70		0	25	1	1,100,000$
13	Erik Karlsson				X	95.00	31	1	99	85	70	82	82	99	62	99	99	60	75	85	96	30	99	76	N	0	33	7	5,900,000$
14	Jakub Kindl				X	96.00	36	14	98	84	79	78	74	89	46	90	88	70	65	80	79	41	99	74		0	36	3	2,000,000$
15	Zachary Jones				X	99.00	68	25	85	85	75	82	82	93	57	87	73	71	63	38	59	61	99	73		0	22	4	4,150,000$
16	Keaton Ellerby				X	100.00	63	33	81	88	77	82	80	48	50	49	44	83	55	99	99	26	99	71	N	0	36	3	2,000,000$
17	Roman Josi				X	99.00	46	13	98	89	76	80	83	83	59	71	84	60	75	80	78	23	99	71		0	33	1	700,000$
18	Josh Brook				X	100.00	79	38	72	79	76	78	80	72	57	70	70	77	63	51	51	65	99	70		0	24	4	2,000,000$
Rayé
1	Jonathan Dalhen (R)	X	X			100.00	83	48	71	87	75	75	79	79	86	69	74	68	70	60	49	62	99	69		0	25	2	975,000$
2	Jesper Lindgren				X	100.00	63	25	82	88	71	84	83	82	54	82	74	66	60	60	69	51	99	71		0	27	1	900,000$
3	Olli Juolevi				X	100.00	63	20	88	84	79	84	82	70	57	72	68	74	67	56	75	71	99	70		0	25	2	1,450,000$
Équipe Mineure
1	Morgan Klimchuk		X			95.00	65	32	79	83	74	81	81	71	51	66	69	73	68	75	82	62	99	69		0	29	1	1,000,000$
2	Joshua Bailey	X				96.00	48	15	95	87	74	81	82	66	87	66	63	71	65	96	95	32	99	69		0	35	2	1,499,999$
3	Mike Brown		X	X		98.00	99	99	57	85	77	82	79	72	62	73	73	58	74	78	79	26	99	69		0	38	2	1,200,000$
4	Zachary Bolduc (R)	X				98.00	73	29	81	72	73	78	78	81	79	74	74	72	74	54	67	82	99	69		0	20	2	925,000$
5	Tye McGinn		X			100.00	70	35	82	87	78	81	83	57	52	55	59	70	65	97	94	24	99	67		0	33	1	600,000$
6	Reilly Smith		X	X		100.00	44	12	98	87	74	83	83	66	53	56	68	70	68	82	91	32	99	67	N	0	31	1	850,000$
7	Peyton Krebs (R)	X	X			100.00	74	37	71	67	72	67	67	80	78	75	69	68	69	55	77	75	99	66		0	22	2	500,000$
8	Rocco Grimaldi	X		X		100.00	63	21	83	86	68	81	83	66	87	57	66	63	68	71	75	46	99	66	N	0	29	2	500,001$
9	Barrett Hayton (R)	X	X			100.00	72	38	72	70	76	63	63	68	76	67	68	69	68	65	75	83	99	65		0	23	3	500,000$
10	Ryan McAllister (R)	X				100.00	71	31	77	72	75	68	68	81	73	77	71	65	71	40	47	54	99	65		0	21	3	925,000$
11	Tyler Boucher (R)		X	X		100.00	74	38	66	72	76	62	62	62	60	63	70	70	70	51	51	88	99	63		0	20	3	500,000$
12	Tyson Foerster (R)	X				100.00	73	39	73	67	75	67	67	69	78	65	69	65	70	45	48	80	99	62		0	21	2	650,000$
13	Owen Power (R)				X	95.00	77	38	80	70	82	80	80	80	63	75	72	73	70	51	72	90	99	70		0	20	1	925,000$
14	Carson Lambos (R)				X	95.91	76	34	82	78	77	81	82	67	53	71	68	79	66	38	52	77	99	69		0	20	1	925,000$
15	Marco Scandella				X	97.00	56	24	95	87	81	85	83	51	57	47	46	75	59	92	93	27	99	68		0	33	2	1,499,999$
16	Jacob Moverare (R)				X	98.00	79	41	75	76	79	83	83	63	57	69	56	65	55	70	65	60	99	67		0	24	2	750,000$
17	Tanner Molendyk (R)				X	100.00	68	29	79	74	73	73	73	63	63	70	66	78	66	36	41	81	99	66		0	18	3	925,000$
18	Scott Morrow (R)				X	100.00	70	37	77	67	76	72	72	72	58	69	73	70	71	29	44	74	99	65		0	20	2	650,000$
19	Adam Tambellini	X	X			100.00	63	32	81	78	77	76	81	66	86	60	68	66	68	64	72	50	99	66	N	0	29	2	500,001$
20	Stephen Halliday (R)	X				100.00	76	43	71	67	80	65	65	76	75	72	69	66	68	47	50	67	99	64		0	21	2	650,000$
21	Jaromir Pytlik (R)	X				100.00	71	37	73	65	78	63	66	62	77	58	63	69	65	40	36	65	99	60		0	22	1	500,000$
22	Timothy Lijegren (R)				X	100.00	66	33	83	87	77	76	77	57	53	53	63	63	70	63	66	69	99	64		0	24	2	615,000$
23	Artyom Duba (R)				X	100.00	69	34	76	70	72	70	70	62	58	68	67	71	67	43	49	77	99	64		0	19	3	650,000$
24	Santeri Airola (R)				X	100.00	63	25	82	79	68	73	76	69	51	69	49	60	50	48	48	54	99	62	N	0	23	3	500,001$

	MOYENNE D’ÉQUIPE					99.38	66	35	81	84	75	81	81	81	69	77	77	70	69	74	79	47	99	72

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Thomas McCollum	99.00	82	84	83	87	93	99	99	99	98	82	84	85	90	42	99	76	0	35	5	5,800,000$
2	Tyler Parsons (R)	100.00	81	87	83	81	90	90	90	95	95	77	78	57	72	71	99	70	0	25	2	5,800,000$
Rayé
Équipe Mineure
1	Jeremy Swayman	98.00	80	75	77	80	80	81	81	81	81	74	75	59	67	64	99	64	0	24	3	750,000$
2	Maxim Mayorov (R)	100.00	75	72	79	82	73	78	78	73	73	75	73	33	38	69	99	58	0	19	3	650,000$
3	Jaroslav Halak	100.00	82	77	71	74	81	75	72	76	74	78	68	84	97	31	99	65	0	38	2	500,001$

	MOYENNE D’ÉQUIPE	99.50	82	86	83	84	92	95	95	97	97	80	81	71	81	57	99	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jacques Lemaire	86	93	95	88	99	99	36	CAN	77	5	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Oscar Moller	Philadelphia Flyers	C/RW	77	28	42	70	6	0	0	48	97	284	86	167	9.86%	30	1403	18.23	2	10	12	40	183	0	0	0	0	15	4	0	51.66%	1626	55	20	0	0	1.00	0	5	0	0	0	4	4	5
2	Nathan Horton	Philadelphia Flyers	RW	76	36	33	69	-7	52	0	166	76	363	90	206	9.92%	58	1469	19.34	11	3	14	45	182	0	0	0	2	43	4	1	45.03%	151	56	28	0	0	0.94	3	8	0	0	0	5	5	6
3	Jared Boll	Philadelphia Flyers	RW	65	24	28	52	15	57	15	116	46	253	80	163	9.49%	29	1058	16.29	3	3	6	18	117	0	0	0	0	17	1	0	43.90%	82	54	17	0	0	0.98	0	4	1	1	1	4	2	4
4	Jaden Schwartz	Philadelphia Flyers	C/LW	77	19	24	43	-3	0	0	16	62	238	82	109	7.98%	41	1245	16.18	0	4	4	10	81	0	1	1	5	149	4	1	57.14%	63	53	31	1	0	0.69	1	1	0	0	0	2	2	4
5	Gilbert Brule	Philadelphia Flyers	C	77	21	20	41	16	0	0	24	86	211	50	102	9.95%	35	1219	15.84	0	2	2	6	99	1	0	1	2	74	2	1	51.93%	1009	31	27	1	0	0.67	0	2	0	0	0	0	1	3
6	Daniel Winnik	Philadelphia Flyers	C/LW/RW	76	20	19	39	-4	45	5	112	54	199	48	107	10.05%	41	1282	16.88	4	1	5	22	117	0	0	0	0	9	4	3	51.77%	311	35	21	0	0	0.61	1	2	0	0	1	1	2	2
7	Erik Karlsson	Philadelphia Flyers	D	69	5	32	37	-6	0	0	7	52	152	80	77	3.29%	77	1351	19.58	2	9	11	17	159	0	0	0	0	26	0	1	0%	0	57	39	0	0	0.55	1	5	0	0	0	0	0	3
8	Dmitri Jaskin	Philadelphia Flyers	LW/RW	77	16	17	33	3	12	0	63	56	152	68	92	10.53%	20	876	11.39	0	0	0	0	0	0	0	0	0	1	4	0	44.12%	34	25	14	0	0	0.75	0	0	0	0	0	0	1	6
9	Marco Rossi	Philadelphia Flyers	C	71	16	15	31	13	14	0	92	100	150	44	84	10.67%	52	1184	16.68	2	2	4	9	117	0	0	0	2	20	4	2	47.89%	781	17	21	0	0	0.52	0	2	0	0	0	2	4	3
10	Zachary Jones	Philadelphia Flyers	D	77	5	23	28	0	6	0	57	75	124	54	60	4.03%	84	1416	18.39	1	3	4	22	178	1	0	1	2	66	1	0	0%	0	33	34	0	0	0.40	0	0	0	0	0	1	0	0
11	Jakub Kindl	Philadelphia Flyers	D	63	5	23	28	3	0	0	19	69	129	54	55	3.88%	89	1265	20.08	1	3	4	5	102	0	3	3	4	85	1	0	0%	0	38	39	0	0	0.44	0	0	0	0	0	0	0	4
12	Jonathan Dalhen	Philadelphia Flyers	C/LW	67	11	16	27	-4	24	0	58	41	150	42	85	7.33%	15	735	10.97	0	0	0	1	6	0	0	0	2	46	2	1	49.40%	83	27	16	0	0	0.73	0	0	0	0	0	1	1	2
13	Colle Cassels	Philadelphia Flyers	C	74	11	15	26	-8	33	5	108	70	105	29	55	10.48%	35	956	12.93	1	0	1	2	37	0	0	0	1	57	2	1	50.79%	699	15	23	1	0	0.54	0	1	0	1	0	2	1	2
14	Roman Josi	Philadelphia Flyers	D	77	2	21	23	8	0	0	17	59	87	39	44	2.30%	45	1232	16.00	0	2	2	3	130	0	0	0	0	3	2	0	0%	0	28	32	0	0	0.37	1	3	0	0	0	0	3	1
15	Keaton Ellerby	Philadelphia Flyers	D	76	1	21	22	-2	12	0	44	63	64	23	24	1.56%	103	1282	16.88	0	0	0	1	25	0	0	0	1	136	0	0	0%	0	7	58	0	0	0.34	0	0	0	0	0	0	1	0
16	Karl Henriksson	Philadelphia Flyers	C/LW	77	7	13	20	-6	12	0	65	50	146	65	91	4.79%	18	883	11.48	0	0	0	0	18	0	0	0	3	42	0	1	65.91%	44	36	16	0	0	0.45	0	0	0	0	0	1	0	1
17	Brett Howden	Philadelphia Flyers	C	77	8	11	19	-6	26	0	102	91	69	22	43	11.59%	35	1014	13.18	0	0	0	0	10	1	0	1	6	142	3	1	50.59%	767	6	22	0	0	0.37	1	4	0	0	0	2	0	0
18	Josh Brook	Philadelphia Flyers	D	75	1	15	16	8	28	0	50	62	53	22	26	1.89%	96	1135	15.14	0	0	0	0	0	0	0	0	1	162	0	0	0%	0	10	40	1	0	0.28	0	0	0	0	0	0	0	1
19	Scott Kosmachuk	Philadelphia Flyers	RW	50	7	7	14	-6	0	0	56	20	56	13	37	12.50%	13	527	10.56	0	0	0	0	5	0	0	0	0	0	1	1	37.50%	32	15	5	0	1	0.53	0	0	0	0	0	1	1	0
20	Olli Juolevi	Philadelphia Flyers	D	69	1	7	8	8	2	0	19	31	36	8	12	2.78%	46	701	10.16	0	0	0	1	29	0	0	0	0	106	0	1	0%	0	6	19	0	0	0.23	0	0	0	0	0	0	0	0
21	Jesper Lindgren	Philadelphia Flyers	D	67	2	5	7	-11	8	0	25	39	37	18	17	5.41%	47	788	11.77	0	0	0	0	3	0	0	0	0	55	0	1	0%	0	12	26	0	0	0.18	0	0	0	0	0	0	1	0
22	Reilly Smith	Lehigh Valley Phantoms (PHI)	LW/RW	2	0	2	2	1	0	0	0	1	1	0	1	0%	0	14	7.23	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	2.77	0	0	0	0	0	0	0	0
23	Joshua Bailey	Lehigh Valley Phantoms (PHI)	C	8	0	2	2	5	0	0	3	2	6	2	5	0%	1	77	9.63	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0	0	0.52	0	0	0	0	0	0	0	0
24	Morgan Klimchuk	Lehigh Valley Phantoms (PHI)	LW	4	0	1	1	1	0	0	2	0	2	0	1	0%	0	10	2.71	0	0	0	0	0	0	0	0	1	9	0	0	0%	0	0	0	0	0	1.85	0	0	0	0	0	0	0	0
25	Marco Scandella	Lehigh Valley Phantoms (PHI)	D	10	0	0	0	-3	0	0	0	10	7	0	3	0%	5	98	9.84	0	0	0	0	0	0	0	0	0	13	0	0	0%	0	0	2	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1538	246	412	658	21	331	25	1269	1312	3074	1019	1666	8.00%	1015	23233	15.11	27	42	69	202	1608	3	4	7	32	1289	39	16	50.64%	5687	616	550	4	1	0.57	8	37	1	2	2	26	29	47

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Thomas McCollum	Philadelphia Flyers	48	28	15	4	0.930	2.75	2819	8	1	129	1849	745	4	2	0.750	16	47	30	13	6	1
2	Tyler Parsons	Philadelphia Flyers	32	14	12	4	0.918	3.16	1842	0	0	97	1187	539	2	3	0.682	22	30	47	4	4	1
Statistiques d’équipe totales ou en moyenne			80	42	27	8	0.926	2.91	4662	8	1	226	3036	1284	6	5		38	77	77	17	10	2

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10
Brett Howden	Philadelphia Flyers	C	25	1989-09-07 20:47:10	No	206 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	1,100,000$	63,684$	1,100,000$	63,684$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Colle Cassels	Philadelphia Flyers	C	28	1986-10-20 09:56:59	No	195 Lbs	6 ft0	No	No	N/A		No	No	3	Pro Only	1,500,000$	86,842$	1,500,000$	86,842$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Daniel Winnik	Philadelphia Flyers	C/LW/RW	38	1976-08-06 14:38:02	No	216 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	6,116,900$	354,136$	6,116,900$	354,136$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dmitri Jaskin	Philadelphia Flyers	LW/RW	30	1984-10-14 12:58:29	No	211 Lbs	6 ft3	No	No	N/A		No	No	1	Pro Only	1,000,000$	57,895$	1,000,000$	57,895$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Erik Karlsson (sur la masse salariale)	Philadelphia Flyers	D	33	1981-08-06 20:38:02	No	183 Lbs	5 ft11	Yes	No	N/A		No	No	7	Pro Only	5,900,000$	341,579$	5,900,000$	341,579$	No	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	-	-	-	Yes	Yes	Yes	Yes	Yes	Yes	-	-	-
Gilbert Brule	Philadelphia Flyers	C	36	1978-08-07 02:38:02	No	191 Lbs	5 ft10	Yes	No	N/A		No	No	2	Pro Only	501,000$	29,005$	501,000$	29,005$	No	501,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-
Jaden Schwartz	Philadelphia Flyers	C/LW	31	1983-08-06 08:38:02	No	211 Lbs	5 ft11	Yes	No	N/A		No	No	3	Pro Only	3,850,000$	222,895$	3,850,000$	222,895$	No	3,850,000$	3,850,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Jakub Kindl	Philadelphia Flyers	D	36	1978-08-07 02:38:02	No	215 Lbs	6 ft3	No	No	N/A		No	No	3	Pro Only	2,000,000$	115,789$	2,000,000$	115,789$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jared Boll	Philadelphia Flyers	RW	37	1977-08-06 20:38:02	No	204 Lbs	6 ft2	No	No	N/A		No	No	2	Pro Only	7,000,000$	405,263$	7,000,000$	405,263$	No	7,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jesper Lindgren	Philadelphia Flyers	D	27	1987-10-20 08:17:02	No	178 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	900,000$	52,105$	900,000$	52,105$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jonathan Dalhen	Philadelphia Flyers	C/LW	25	1989-09-26 15:35:53	Yes	202 Lbs	6 ft1	No	No	N/A		No	No	2	Pro Only	975,000$	56,447$	975,000$	56,447$	No	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Josh Brook	Philadelphia Flyers	D	24	1990-09-19 10:49:44	No	200 Lbs	6 ft4	No	No	Trade	2024-03-30	No	No	4	Pro Only	2,000,000$	115,789$	2,000,000$	115,789$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Karl Henriksson	Philadelphia Flyers	C/LW	22	1992-10-04 05:44:29	No	184 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	1,200,000$	69,474$	1,200,000$	69,474$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Keaton Ellerby	Philadelphia Flyers	D	36	1978-08-07 02:38:02	No	199 Lbs	6 ft4	Yes	No	N/A		No	No	3	Pro Only	2,000,000$	115,789$	2,000,000$	115,789$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Marco Rossi	Philadelphia Flyers	C	21	1993-08-31 21:51:49	Yes	197 Lbs	5 ft10	No	No	N/A		No	No	5	Pro Only	2,500,000$	144,737$	2,500,000$	144,737$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Nathan Horton	Philadelphia Flyers	RW	38	1976-08-06 14:38:02	No	237 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	6,200,000$	358,947$	6,200,000$	358,947$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Olli Juolevi	Philadelphia Flyers	D	25	1989-09-26 15:13:02	No	206 Lbs	6 ft7	No	No	N/A		No	No	2	Pro Only	1,450,000$	83,947$	1,450,000$	83,947$	No	1,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Oscar Moller	Philadelphia Flyers	C/RW	34	1980-08-06 14:38:02	No	198 Lbs	5 ft10	No	No	N/A		No	No	3	Pro Only	5,200,000$	301,053$	5,200,000$	301,053$	No	5,200,000$	5,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Roman Josi	Philadelphia Flyers	D	33	1981-08-06 20:38:02	No	202 Lbs	6 ft1	No	No	N/A		No	No	1	Pro Only	700,000$	40,526$	700,000$	40,526$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Scott Kosmachuk	Philadelphia Flyers	RW	29	1985-10-05 14:35:36	No	213 Lbs	6 ft0	No	No	Trade	2024-01-13	No	No	2	Pro Only	1,800,000$	104,211$	1,800,000$	104,211$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Thomas McCollum	Philadelphia Flyers	G	35	1979-08-06 08:38:02	No	218 Lbs	6 ft1	No	No	N/A		No	No	5	Pro Only	5,800,000$	335,789$	5,800,000$	335,789$	No	5,800,000$	5,800,000$	5,800,000$	5,800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Tyler Parsons	Philadelphia Flyers	G	25	1989-09-19 10:11:30	Yes	210 Lbs	6 ft4	No	No	N/A		No	No	2	Pro Only	5,800,000$	335,789$	5,800,000$	335,789$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zachary Jones	Philadelphia Flyers	D	22	1992-10-04 04:22:45	No	191 Lbs	6 ft3	No	No	N/A		No	No	4	Pro Only	4,150,000$	240,263$	4,150,000$	240,263$	No	2,150,000$	2,150,000$	2,150,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	30.00	203 Lbs	6 ft1	2.57	3,027,952$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,642,900$	45,426,000$	32,900,000$	18,350,000$	14,200,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Winnik	Oscar Moller	Nathan Horton	29	1	2	2
2	Jaden Schwartz	Marco Rossi	Jared Boll	26	1	2	2
3	Dmitri Jaskin	Gilbert Brule	Colle Cassels	25	1	2	2
4	Karl Henriksson	Brett Howden	Scott Kosmachuk	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Zachary Jones	31	1	2	2
2	Keaton Ellerby	Jakub Kindl	30	1	2	2
3	Roman Josi	Josh Brook	28	1	2	2
4	Erik Karlsson	Jakub Kindl	11	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Winnik	Oscar Moller	Nathan Horton	60	1	2	2
2	Jaden Schwartz	Marco Rossi	Jared Boll	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Zachary Jones	60	1	2	2
2	Roman Josi	Jakub Kindl	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brett Howden	Jaden Schwartz	60	1	2	2
2	Colle Cassels	Karl Henriksson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Keaton Ellerby	Zachary Jones	60	1	2	2
2	Josh Brook	Jakub Kindl	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Brett Howden	60	1	2	2	Keaton Ellerby	Zachary Jones	60	1	2	2
2	Marco Rossi	40	1	2	2	Josh Brook	Jakub Kindl	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Marco Rossi	Daniel Winnik	60	1	2	2
2	Oscar Moller	Nathan Horton	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Zachary Jones	60	1	2	2
2	Keaton Ellerby	Jakub Kindl	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Marco Rossi	Oscar Moller	Nathan Horton	Erik Karlsson	Roman Josi

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jaden Schwartz	Brett Howden	Colle Cassels	Keaton Ellerby	Jakub Kindl

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jared Boll, Daniel Winnik, Gilbert Brule	Oscar Moller, Nathan Horton	Jaden Schwartz

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jakub Kindl, Erik Karlsson, Roman Josi	Zachary Jones	Keaton Ellerby, Josh Brook

Tirs de pénalité
Nathan Horton, Jared Boll, Erik Karlsson, Roman Josi, Oscar Moller

Gardien
#1 : Thomas McCollum, #2 : Tyler Parsons

Lignes d’attaque personnalisées en prolongation
Nathan Horton, Jared Boll, Oscar Moller, Jaden Schwartz, Dmitri Jaskin , Brett Howden, Brett Howden, Marco Rossi, Gilbert Brule, Scott Kosmachuk, Karl Henriksson

Lignes de défense personnalisées en prolongation
Erik Karlsson, Jakub Kindl, Zachary Jones, Keaton Ellerby, Roman Josi

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Ducks	3	2	1	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	8	2	6	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	9	16	25	0	0	1	7	1	0	123	40	41	42	0	118	39	8	43	9	0	0.00%	4	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	67	41	61	24	50	26
2	Boston Bruins	3	1	1	0	1	0	0	0	10	12	-2	1	0	0	0	1	0	0	0	4	3	1	2	1	1	0	0	0	0	0	6	9	-3	4	0.667	10	16	26	0	0	3	5	1	1	107	43	37	26	1	124	33	20	45	5	1	20.00%	10	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	39	64	26	49	24
3	Buffalo Sabres	2	0	1	0	0	0	0	1	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	5	9	14	1	0	1	2	2	2	89	38	26	23	9	89	30	10	39	1	0	0.00%	5	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	48	30	43	16	32	16
4	Calgary Flames	3	1	2	0	0	0	0	0	11	14	-3	2	1	1	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	11	14	25	1	0	3	3	5	0	120	40	32	48	0	117	35	17	55	10	1	10.00%	6	2	66.67%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	67	42	64	24	47	23
5	Carolina Hurricanes	3	2	1	0	0	0	0	0	13	10	3	2	2	0	0	0	0	0	0	10	5	5	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	13	26	39	0	0	7	3	3	0	138	53	43	42	0	108	39	24	54	6	0	0.00%	7	2	71.43%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	70	44	58	24	50	25
6	Chicago Blackhawks	3	3	0	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	3	3	6	1.000	15	25	40	0	0	6	2	7	0	132	58	36	38	0	116	34	34	43	10	2	20.00%	12	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	38	64	27	50	24
7	Colorado Avalanche	3	1	0	0	0	1	0	1	7	8	-1	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	0	0	1	2	3	-1	4	0.667	7	11	18	0	0	2	5	0	1	113	30	45	33	12	135	27	16	53	5	1	20.00%	8	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	62	37	73	28	53	25
8	Dallas Stars	3	1	1	0	0	0	1	0	10	11	-1	2	0	1	0	0	0	1	0	7	9	-2	1	1	0	0	0	0	0	0	3	2	1	4	0.667	10	18	28	0	0	5	1	3	1	117	33	40	44	3	120	32	8	50	9	3	33.33%	4	1	75.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	39	68	27	51	26
9	Detroit Red Wings	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	5	9	1	0	2	1	0	1	74	20	23	29	4	82	31	12	33	5	0	0.00%	6	2	66.67%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	42	24	47	18	34	17
10	Edmonton Oilers	3	2	1	0	0	0	0	0	8	7	1	2	2	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	8	13	21	1	0	2	3	3	0	119	39	36	44	0	110	40	2	37	9	0	0.00%	1	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	70	42	60	23	49	26
11	Florida Panthers	3	2	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	2	0	2	2	1	1	0	0	0	0	0	6	7	-1	4	0.667	8	13	21	1	1	2	3	3	0	105	40	30	35	0	112	41	20	44	5	0	0.00%	10	0	100.00%	1	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	60	34	68	26	51	24
12	Los Angeles Kings	3	1	0	0	0	0	1	1	14	10	4	1	0	0	0	0	0	1	0	4	3	1	2	1	0	0	0	0	0	1	10	7	3	5	0.833	14	22	36	0	0	4	4	5	1	137	54	51	24	19	116	43	10	49	9	1	11.11%	5	1	80.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	70	46	69	25	50	24
13	Minnesota Wild	3	0	2	0	0	1	0	0	5	12	-7	1	0	1	0	0	0	0	0	2	6	-4	2	0	1	0	0	1	0	0	3	6	-3	1	0.167	5	7	12	0	0	3	1	1	0	117	48	38	31	0	118	55	12	47	8	1	12.50%	6	1	83.33%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	64	38	65	27	51	25
14	Montreal Canadiens	3	1	2	0	0	0	0	0	6	7	-1	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	6	8	14	0	0	1	4	1	0	108	41	39	28	0	119	47	10	44	6	2	33.33%	5	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	62	37	68	24	49	25
15	New Jersey Devils	3	1	1	0	1	0	0	0	12	10	2	2	1	1	0	0	0	0	0	8	7	1	1	0	0	0	1	0	0	0	4	3	1	4	0.667	12	20	32	0	0	3	4	4	1	130	44	46	39	1	124	40	12	48	9	3	33.33%	6	2	66.67%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	70	44	63	24	47	24
16	New York Islanders	3	1	0	0	0	1	0	1	11	12	-1	1	0	0	0	0	1	0	0	3	4	-1	2	1	0	0	0	0	0	1	8	8	0	4	0.667	11	13	24	0	0	5	5	1	1	110	43	37	27	6	122	63	10	63	10	2	20.00%	5	1	80.00%	1	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	37	68	25	51	27
17	New York Rangers	3	1	0	0	1	0	0	1	10	9	1	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	0	0	0	1	3	4	-1	5	0.833	10	19	29	0	0	3	2	4	2	125	30	47	44	8	128	37	16	63	6	0	0.00%	8	2	75.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	68	41	67	26	52	26
18	Ottawa Senators	3	0	2	0	1	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	1	3	-2	2	0	1	0	1	0	0	0	6	7	-1	2	0.333	7	12	19	0	0	5	1	0	1	112	46	38	26	2	120	44	21	38	6	1	16.67%	8	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	39	67	25	48	24
19	Pittsburgh Penguins	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	4	8	12	0	0	3	1	0	0	82	28	37	17	0	81	35	19	22	5	1	20.00%	7	1	85.71%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	43	26	44	16	32	15
20	San Jose Sharks	3	3	0	0	0	0	0	0	15	8	7	1	1	0	0	0	0	0	0	6	3	3	2	2	0	0	0	0	0	0	9	5	4	6	1.000	15	24	39	0	0	6	7	2	0	126	46	43	37	0	129	40	10	49	1	0	0.00%	5	2	60.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	60	37	71	23	47	23
21	St-Louis Blues	3	0	3	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	9	17	26	0	0	2	6	1	0	126	35	57	34	0	119	41	10	56	8	1	12.50%	5	1	80.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	67	42	62	24	49	25
22	Tampa Bay Lightning	3	2	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	2	1	4	0.667	7	12	19	0	0	3	3	1	0	120	48	36	36	0	108	27	18	56	9	2	22.22%	9	1	88.89%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	65	38	64	26	50	24
23	Toronto Maple Leafs	3	1	2	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	4	3	1	2	0.333	5	8	13	0	0	2	2	1	0	104	38	32	34	0	119	35	14	47	6	1	16.67%	7	1	85.71%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	63	38	66	26	49	24
24	Vancouver Canucks	3	3	0	0	0	0	0	0	14	7	7	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	4	2	2	6	1.000	14	23	37	0	0	4	5	5	0	118	26	45	47	0	100	25	24	50	8	2	25.00%	11	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	63	38	66	26	50	23
25	Vegas Golden Knights	3	1	2	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	5	2	3	2	0	2	0	0	0	0	0	3	8	-5	2	0.333	8	12	20	0	0	0	4	4	0	115	32	40	43	0	116	30	6	63	6	0	0.00%	3	1	66.67%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	61	36	66	26	51	25
26	Washington Capitals	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	14	23	0	0	3	3	3	0	74	27	27	20	0	68	26	12	28	4	0	0.00%	6	1	83.33%	1	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	39	24	46	18	33	15
27	Winnipeg Jets	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	7	3	4	6	1.000	10	18	28	0	0	1	4	5	0	117	42	30	45	0	123	30	18	60	9	2	22.22%	9	0	100.00%	0	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	64	38	63	25	52	26
	Total	77	35	27	0	4	3	3	5	246	236	10	39	21	11	0	2	2	3	0	132	108	24	38	14	16	0	2	1	0	5	114	128	-14	92	0.597	246	403	649	5	1	82	91	66	12	3058	1062	1032	936	65	3041	999	393	1279	184	27	14.67%	178	22	87.64%	3	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	1682	1021	1698	660	1290	642
	_Since Last GM Reset	77	35	27	0	4	3	3	5	246	236	10	39	21	11	0	2	2	3	0	132	108	24	38	14	16	0	2	1	0	5	114	128	-14	92	0.597	246	403	649	5	1	82	91	66	12	3058	1062	1032	936	65	3041	999	393	1279	184	27	14.67%	178	22	87.64%	3	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	1682	1021	1698	660	1290	642
	_Vs Conference	77	35	27	0	4	3	3	5	246	236	10	39	21	11	0	2	2	3	0	132	108	24	38	14	16	0	2	1	0	5	114	128	-14	92	0.597	246	403	649	5	1	82	91	66	12	3058	1062	1032	936	65	3041	999	393	1279	184	27	14.67%	178	22	87.64%	3	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	1682	1021	1698	660	1290	642
	_Vs Division	38	14	15	0	4	1	1	3	111	118	-7	19	8	7	0	2	1	1	0	55	50	5	19	6	8	0	2	0	0	3	56	68	-12	42	0.553	111	183	294	3	1	43	39	24	9	1478	539	498	426	31	1504	528	218	624	83	13	15.66%	99	13	86.87%	3	1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%	831	501	840	325	633	316

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
77	92	W5	246	403	649	3058	3041	999	393	1279	5	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
77	35	27	4	3	3	5	246	236

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	21	11	2	2	3	0	132	108

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	14	16	2	1	0	5	114	128

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
8	2	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
184	27	14.67%	178	22	87.64%	3

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
1062	1032	936	65	82	91	66	12

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
1154	2240	51.52%	1101	2194	50.18%	618	1174	52.64%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1682	1021	1698	660	1290	642

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	9	New York Rangers	2	Philadelphia Flyers	3	BW			Sommaire du match
4	28	Washington Capitals	1	Philadelphia Flyers	4	BW			Sommaire du match
6	39	Philadelphia Flyers	3	Carolina Hurricanes	5	AL			Sommaire du match
7	46	Philadelphia Flyers	2	New York Islanders	3	AL	X	X	Sommaire du match
11	71	Philadelphia Flyers	3	Dallas Stars	2	AW			Sommaire du match
14	89	Philadelphia Flyers	3	New York Rangers	4	AL	X	X	Sommaire du match
15	94	Ottawa Senators	3	Philadelphia Flyers	1	BL			Sommaire du match
17	107	Pittsburgh Penguins	3	Philadelphia Flyers	2	BL			Sommaire du match
19	119	San Jose Sharks	3	Philadelphia Flyers	6	BW			Sommaire du match
22	132	Philadelphia Flyers	4	New Jersey Devils	3	AW	X		Sommaire du match
23	135	Buffalo Sabres	5	Philadelphia Flyers	3	BL			Sommaire du match
27	160	Boston Bruins	3	Philadelphia Flyers	4	BW	X		Sommaire du match
28	169	Philadelphia Flyers	1	Vegas Golden Knights	4	AL			Sommaire du match
35	208	Philadelphia Flyers	1	Boston Bruins	7	AL			Sommaire du match
36	213	Philadelphia Flyers	1	Anaheim Ducks	3	AL			Sommaire du match
39	231	Philadelphia Flyers	2	Colorado Avalanche	3	AL	X	X	Sommaire du match
42	249	Dallas Stars	5	Philadelphia Flyers	2	BL			Sommaire du match
45	267	Los Angeles Kings	3	Philadelphia Flyers	4	BW	X	X	Sommaire du match
48	284	Chicago Blackhawks	2	Philadelphia Flyers	6	BW			Sommaire du match
51	303	Minnesota Wild	6	Philadelphia Flyers	2	BL			Sommaire du match
53	316	Philadelphia Flyers	3	San Jose Sharks	1	AW			Sommaire du match
54	320	Vancouver Canucks	3	Philadelphia Flyers	6	BW			Sommaire du match
57	339	Florida Panthers	0	Philadelphia Flyers	2	BW			Sommaire du match
61	361	Philadelphia Flyers	5	Los Angeles Kings	1	AW			Sommaire du match
62	366	Philadelphia Flyers	2	Detroit Red Wings	4	AL			Sommaire du match
64	380	Philadelphia Flyers	3	Winnipeg Jets	1	AW			Sommaire du match
66	391	Anaheim Ducks	1	Philadelphia Flyers	2	BW			Sommaire du match
69	407	Edmonton Oilers	1	Philadelphia Flyers	3	BW			Sommaire du match
71	417	Montreal Canadiens	2	Philadelphia Flyers	1	BL			Sommaire du match
73	430	Philadelphia Flyers	2	Minnesota Wild	3	AL	X		Sommaire du match
76	447	Carolina Hurricanes	2	Philadelphia Flyers	6	BW			Sommaire du match
78	460	Philadelphia Flyers	2	Montreal Canadiens	3	AL			Sommaire du match
81	478	Philadelphia Flyers	2	Pittsburgh Penguins	7	AL			Sommaire du match
82	483	Philadelphia Flyers	5	Washington Capitals	3	AW			Sommaire du match
84	494	Philadelphia Flyers	2	Buffalo Sabres	3	AL	X	X	Sommaire du match
88	519	Colorado Avalanche	1	Philadelphia Flyers	2	BW			Sommaire du match
91	536	Philadelphia Flyers	3	Tampa Bay Lightning	2	AW			Sommaire du match
92	540	Philadelphia Flyers	6	Chicago Blackhawks	3	AW			Sommaire du match
94	551	Winnipeg Jets	2	Philadelphia Flyers	3	BW			Sommaire du match
96	564	Philadelphia Flyers	3	Edmonton Oilers	5	AL			Sommaire du match
99	581	New Jersey Devils	3	Philadelphia Flyers	5	BW			Sommaire du match
102	599	Toronto Maple Leafs	3	Philadelphia Flyers	1	BL			Sommaire du match
104	609	Tampa Bay Lightning	4	Philadelphia Flyers	1	BL			Sommaire du match
106	621	Detroit Red Wings	1	Philadelphia Flyers	2	BW	X	X	Sommaire du match
108	629	Philadelphia Flyers	4	Vancouver Canucks	2	AW			Sommaire du match
110	644	Philadelphia Flyers	2	St-Louis Blues	4	AL			Sommaire du match
114	668	New York Islanders	4	Philadelphia Flyers	3	BL	X		Sommaire du match
118	693	Calgary Flames	4	Philadelphia Flyers	5	BW			Sommaire du match
120	702	Philadelphia Flyers	3	Ottawa Senators	5	AL			Sommaire du match
121	709	Philadelphia Flyers	2	Calgary Flames	4	AL			Sommaire du match
123	718	St-Louis Blues	6	Philadelphia Flyers	4	BL			Sommaire du match
126	737	Philadelphia Flyers	1	Toronto Maple Leafs	2	AL			Sommaire du match
128	748	Philadelphia Flyers	3	Florida Panthers	5	AL			Sommaire du match
130	753	Vegas Golden Knights	2	Philadelphia Flyers	5	BW			Sommaire du match
131	764	Philadelphia Flyers	6	New York Islanders	5	AW			Sommaire du match
134	780	Philadelphia Flyers	1	Minnesota Wild	3	AL			Sommaire du match
136	793	Philadelphia Flyers	3	Florida Panthers	2	AW			Sommaire du match
138	808	Montreal Canadiens	2	Philadelphia Flyers	3	BW			Sommaire du match
141	827	New Jersey Devils	4	Philadelphia Flyers	3	BL			Sommaire du match
142	832	Chicago Blackhawks	1	Philadelphia Flyers	3	BW			Sommaire du match
146	854	Carolina Hurricanes	3	Philadelphia Flyers	4	BW			Sommaire du match
148	870	Philadelphia Flyers	3	St-Louis Blues	5	AL			Sommaire du match
150	883	Philadelphia Flyers	5	Los Angeles Kings	6	AL	X	X	Sommaire du match
151	890	Philadelphia Flyers	3	Toronto Maple Leafs	1	AW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154	906	Colorado Avalanche	4	Philadelphia Flyers	3	BL	X		Sommaire du match
155	915	Philadelphia Flyers	3	Ottawa Senators	2	AW	X		Sommaire du match
158	932	Philadelphia Flyers	5	Boston Bruins	2	AW			Sommaire du match
160	947	Philadelphia Flyers	2	Vegas Golden Knights	4	AL			Sommaire du match
162	959	Dallas Stars	4	Philadelphia Flyers	5	BW	X	X	Sommaire du match
164	972	Vancouver Canucks	2	Philadelphia Flyers	4	BW			Sommaire du match
166	986	New York Rangers	3	Philadelphia Flyers	4	BW	X		Sommaire du match
168	995	Calgary Flames	6	Philadelphia Flyers	4	BL			Sommaire du match
170	1008	Tampa Bay Lightning	2	Philadelphia Flyers	3	BW			Sommaire du match
171	1014	Anaheim Ducks	1	Philadelphia Flyers	6	BW			Sommaire du match
174	1041	Philadelphia Flyers	6	San Jose Sharks	4	AW			Sommaire du match
177	1054	Philadelphia Flyers	4	Winnipeg Jets	2	AW			Sommaire du match
179	1070	Edmonton Oilers	1	Philadelphia Flyers	2	BW			Sommaire du match
180	1079	Pittsburgh Penguins	-	Philadelphia Flyers	-
183	1100	Philadelphia Flyers	-	Washington Capitals	-
185	1106	Buffalo Sabres	-	Philadelphia Flyers	-
187	1123	Philadelphia Flyers	-	Detroit Red Wings	-
190	1146	Philadelphia Flyers	-	Pittsburgh Penguins	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5000	5000	5000	4000	1000
Prix des billets	50	35	15	10	120
Assistance	182,678	181,911	188,000	150,985	35,949
Attendance PCT	93.68%	93.29%	96.41%	96.79%	92.18%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
2	18962 - 94.81%	922,444$	35,975,328$	20000	90

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
63,171,811$	69,642,900$	61,942,900$	0$	250,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
69,642,900$	62,229,708$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
1,844,889$	11	371,805$	4,089,855$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
4,343,317$	27,710,211$	25,807,783$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
69,892,900$	15,107,100$	85,000,000$	14,892,900$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Daniel Winnik	AGE:38	PO:28	OV:73
Dmitri Jaskin	AGE:30	PO:47	OV:71
Jaden Schwartz	AGE:31	PO:40	OV:71
Karl Henriksson	AGE:22	PO:70	OV:70
Jonathan Dalhen (R)	AGE:25	PO:62	OV:69
Morgan Klimchuk	AGE:29	PO:62	OV:69
Mike Brown	AGE:38	PO:26	OV:69
Reilly Smith	AGE:31	PO:32	OV:67
Tye McGinn	AGE:33	PO:24	OV:67
Peyton Krebs (R)	AGE:22	PO:75	OV:66
Adam Tambellini	AGE:29	PO:50	OV:66
Barrett Hayton (R)	AGE:23	PO:83	OV:65
Tyler Boucher (R)	AGE:20	PO:88	OV:63

Oscar Moller	AGE:34	PO:22	OV:75
Marco Rossi (R)	AGE:21	PO:82	OV:73
Daniel Winnik	AGE:38	PO:28	OV:73
Colle Cassels	AGE:28	PO:52	OV:71
Jaden Schwartz	AGE:31	PO:40	OV:71
Gilbert Brule	AGE:36	PO:37	OV:71
Brett Howden	AGE:25	PO:72	OV:70
Karl Henriksson	AGE:22	PO:70	OV:70
Zachary Bolduc (R)	AGE:20	PO:82	OV:69
Jonathan Dalhen (R)	AGE:25	PO:62	OV:69
Joshua Bailey	AGE:35	PO:32	OV:69
Peyton Krebs (R)	AGE:22	PO:75	OV:66
Adam Tambellini	AGE:29	PO:50	OV:66
Rocco Grimaldi	AGE:29	PO:46	OV:66
Barrett Hayton (R)	AGE:23	PO:83	OV:65
Ryan McAllister (R)	AGE:21	PO:54	OV:65
Stephen Halliday (R)	AGE:21	PO:67	OV:64
Tyson Foerster (R)	AGE:21	PO:80	OV:62
Jaromir Pytlik (R)	AGE:22	PO:65	OV:60

Nathan Horton	AGE:38	PO:19	OV:84
Jared Boll	AGE:37	PO:32	OV:75
Oscar Moller	AGE:34	PO:22	OV:75
Daniel Winnik	AGE:38	PO:28	OV:73
Dmitri Jaskin	AGE:30	PO:47	OV:71
Scott Kosmachuk	AGE:29	PO:47	OV:70
Mike Brown	AGE:38	PO:26	OV:69
Reilly Smith	AGE:31	PO:32	OV:67
Rocco Grimaldi	AGE:29	PO:46	OV:66
Tyler Boucher (R)	AGE:20	PO:88	OV:63

Défense #1

Défense #2

Gardien

Erik Karlsson	AGE:33	PO:30	OV:76
Jakub Kindl	AGE:36	PO:41	OV:74
Zachary Jones	AGE:22	PO:61	OV:73
Jesper Lindgren	AGE:27	PO:51	OV:71
Keaton Ellerby	AGE:36	PO:26	OV:71
Roman Josi	AGE:33	PO:23	OV:71
Owen Power (R)	AGE:20	PO:90	OV:70
Olli Juolevi	AGE:25	PO:71	OV:70
Josh Brook	AGE:24	PO:65	OV:70

Carson Lambos (R)	AGE:20	PO:77	OV:69
Marco Scandella	AGE:33	PO:27	OV:68
Jacob Moverare (R)	AGE:24	PO:60	OV:67
Tanner Molendyk (R)	AGE:18	PO:81	OV:66
Scott Morrow (R)	AGE:20	PO:74	OV:65
Artyom Duba (R)	AGE:19	PO:77	OV:64
Timothy Lijegren (R)	AGE:24	PO:69	OV:64
Santeri Airola (R)	AGE:23	PO:54	OV:62

Thomas McCollum	AGE:35	PO:42	OV:76
Tyler Parsons (R)	AGE:25	PO:71	OV:70
Jaroslav Halak	AGE:38	PO:31	OV:65
Jeremy Swayman	AGE:24	PO:64	OV:64
Maxim Mayorov (R)	AGE:19	PO:69	OV:58

Espoirs

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Callum Ritchie	Philadelphia Flyers	2023	56
Gavin Brindley	Philadelphia Flyers	2023	55
Koehn Ziemmer	Philadelphia Flyers	2023	84
Matthew Savoie	Philadelphia Flyers	2022	11
Nathan Gaucher	Philadelphia Flyers	2022	38
Roman Kantserov	Philadelphia Flyers	2023	77

Choix au repêchage

Année	R1	R2	R3
2024	PHI OTT	PHI STL OTT DET
2025	PHI	PHI
2026	PHI NYR	PHI	PHI
2027	PHI	PHI	PHI
2028	PHI	PHI	PHI
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Philadelphia Flyers Historique de transactions

[2024-03-30 22:48:21] - TRADE : From Philadelphia Flyers to Montreal Canadiens : Simon Edvinsson (69), Jack Johnson (74), Y:2026-RND:3-BUF.
[2024-03-30 22:48:21] - TRADE : From Montreal Canadiens to Philadelphia Flyers : Josh Brook (70), Morgan Klimchuk (69), Y:2024-RND:2-DET.
[2024-03-22 22:27:32] - Santeri Airola signed with Philadelphia Flyers for $500,001 for 3 year(s) / Option : No Trade.
[2024-03-22 22:27:32] - Santeri Airola was added to Philadelphia Flyers.
[2024-03-22 22:27:08] - Rocco Grimaldi signed with Philadelphia Flyers for $500,001 for 2 year(s) / Option : No Trade.
[2024-03-22 22:27:08] - Rocco Grimaldi was added to Philadelphia Flyers.
[2024-03-22 22:26:36] - Adam Tambellini signed with Philadelphia Flyers for $500,001 for 2 year(s) / Option : No Trade.
[2024-03-22 22:26:36] - Adam Tambellini was added to Philadelphia Flyers.
[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers hired general manager Interim
[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers fired general manager Alex Dion
[2024-02-20 22:29:29] - New Record for Team's Most Shots Blocked (27) in 1 Game for Philadelphia Flyers!
[2024-01-13 23:10:43] - TRADE : From Philadelphia Flyers to Carolina Hurricanes : $250,000 (Salary Cap Year 1).
[2024-01-13 23:10:43] - TRADE : From Carolina Hurricanes to Philadelphia Flyers : Scott Kosmachuk (70).
[2023-08-31 13:21:16] - TRADE : From Philadelphia Flyers to Buffalo Sabres : Gabriel Carlsson (66).
[2023-08-31 13:21:16] - TRADE : From Buffalo Sabres to Philadelphia Flyers : Y:2026-RND:3-BUF.
[2023-08-31 13:17:49] - TRADE : From Philadelphia Flyers to New York Rangers : Pierre-Olivier Joseph (70).
[2023-08-31 13:17:49] - TRADE : From New York Rangers to Philadelphia Flyers : Y:2026-RND:1-NYR.
[2023-08-19 18:32:16] - Ryan McAllister was added to Philadelphia Flyers.
[2023-08-19 18:31:21] - Tanner Molendyk was added to Philadelphia Flyers.
[2023-08-19 17:40:17] - Philadelphia Flyers drafts Koehn Ziemmer as the #84 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:39:35] - Philadelphia Flyers drafts Roman Kantserov as the #77 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:07] - Philadelphia Flyers drafts Callum Ritchie as the #56 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:02] - Philadelphia Flyers drafts Gavin Brindley as the #55 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:30:34] - Philadelphia Flyers drafts Ryan McAllister as the #28 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:29:54] - Philadelphia Flyers drafts Tanner Molendyk as the #22 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:17:03] - TRADE : From Philadelphia Flyers to Ottawa Senators : Y:2024-RND:2-NJD.
[2023-08-19 17:17:03] - TRADE : From Ottawa Senators to Philadelphia Flyers : Y:2023-RND:2-VAN.

[2024-04-28 22:19:39] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-04-26 13:44:20] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-25 13:49:31] Carson Lambos from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-25 13:49:31] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-25 13:47:51] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-04-24 19:08:38] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-04-23 21:22:15] Carson Lambos from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-23 21:22:15] Owen Power from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-23 21:20:17] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-04-21 21:40:48] Jeremy Swayman from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-21 21:40:48] Carson Lambos from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-21 21:40:48] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-21 21:40:48] Marco Scandella from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-21 21:37:17] Auto Lines Function has been run for Lehigh Valley Phantoms.
[2024-04-21 21:37:01] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2024-04-21 21:36:43] Morgan Klimchuk of Philadelphia Flyers was sent down to farm.
[2024-04-21 21:36:43] Mike Brown of Philadelphia Flyers was sent down to farm.
[2024-04-21 21:36:41] Jaroslav Halak of Philadelphia Flyers was sent to farm.
[2024-04-21 21:36:32] Lehigh Valley Phantoms roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2024-04-21 21:36:32] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-21 21:36:29] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-04-21 21:36:13] Lehigh Valley Phantoms roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2024-04-21 21:36:13] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-21 21:36:13] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2024-04-21 21:36:13] Jaroslav Halak of Philadelphia Flyers was sent to pro.
[2024-04-21 21:36:13] Morgan Klimchuk of Philadelphia Flyers was sent to pro.
[2024-04-21 21:36:13] Mike Brown of Philadelphia Flyers was sent to pro.
[2024-04-21 21:36:13] Lehigh Valley Phantoms roster errors : Not enough Defenseman available in Farm Team! 3 Dressed. 5 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-20 21:29:49] Joshua Bailey from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-20 21:29:48] Jeremy Swayman from Lehigh Valley Phantoms injured (Exhaustion)
[2024-04-20 21:29:48] Carson Lambos from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-20 21:29:48] Owen Power from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-20 21:29:48] Marco Scandella from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-20 21:25:22] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-04-19 22:50:10] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Philadelphia Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-19 22:50:10] Joshua Bailey from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-04-18 22:50:39] Carson Lambos from Lehigh Valley Phantoms is back from Sprained Left Finger Injury.
[2024-04-18 22:50:39] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-18 22:49:44] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[2024-04-18 22:49:29] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2024-04-18 22:49:16] Zachary Bolduc of Philadelphia Flyers was sent down to farm.
[2024-04-18 22:49:14] Mike Brown of Philadelphia Flyers was sent down to farm.
[2024-04-18 22:49:12] Jaroslav Halak of Philadelphia Flyers was sent to farm.
[2024-04-18 22:49:04] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-18 22:49:02] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-04-18 22:48:47] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-04-18 22:48:47] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2024-04-18 22:48:47] Jaroslav Halak of Philadelphia Flyers was sent to pro.
[2024-04-18 22:48:47] Zachary Bolduc of Philadelphia Flyers was sent to pro.
[2024-04-18 22:48:47] Mike Brown of Philadelphia Flyers was sent to pro.

Pas de blessure ou de suspension.

Philadelphia Flyers Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Philadelphia Flyers Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Philadelphia Flyers Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Philadelphia Flyers
	GP: 77 \| W: 42 \| L: 27 \| OTL: 8 \| P: 92 GF: 246 \| GA: 236 \| PP%: 14.67% \| PK%: 87.64% DG: Interim \| Morale : 99 \| Moyenne d’équipe : 72 Prochains matchs #1079 vs Pittsburgh Penguins