Wilkes-Barre/Scranton Penguins
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
	Pittsburgh Penguins 37-26-13, 87pts	5	FINAL	4	Edmonton Oilers 39-33-5, 83pts

Team Stats
W2	Séquence	L1
20-12-7	Fiche domicile	21-14-3
17-14-6	Fiche visiteur	18-19-2
6-3-1	Derniers 10 matchs	2-6-2
3.11	Buts par match	3.26
2.95	Buts contre par match	3.18
11.79%	Pourcentage en avantage numérique	13.14%
85.19%	Pourcentage en désavantage numérique	82.50%

Toronto Maple Leafs
40-30-7, 87pts

FINAL

Pittsburgh Penguins
37-26-13, 87pts

Team Stats
L1	Séquence	W2
20-15-3	Fiche domicile	20-12-7
20-15-4	Fiche visiteur	17-14-6
6-3-1	Derniers 10 matchs	6-3-1
2.97	Buts par match	3.11
3.06	Buts contre par match	2.95
8.65%	Pourcentage en avantage numérique	11.79%
87.44%	Pourcentage en désavantage numérique	85.19%

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%

Pittsburgh Penguins
37-26-13, 87pts

Jour 182

Tampa Bay Lightning
47-23-5, 99pts

Statistiques d’équipe
W2	Séquence	W2
20-12-7	Fiche domicile	21-14-2
17-14-6	Fiche visiteur	26-9-3
6-3-1	10 derniers matchs	6-2-2
3.11	Buts par match	3.17
2.95	Buts contre par match	3.17
11.79%	Pourcentage en avantage numérique	16.57%
85.19%	Pourcentage en désavantage numérique	87.15%

Pittsburgh Penguins
37-26-13, 87pts

Jour 184

New York Islanders
41-27-10, 92pts

Statistiques d’équipe
W2	Séquence	OTL1
20-12-7	Fiche domicile	22-15-2
17-14-6	Fiche visiteur	19-12-8
6-3-1	10 derniers matchs	4-3-3
3.11	Buts par match	3.15
2.95	Buts contre par match	3.15
11.79%	Pourcentage en avantage numérique	10.11%
85.19%	Pourcentage en désavantage numérique	82.91%

Meneurs d'équipe
	Buts Jori Lehtera 29	Passes Mark Stone 38

	Points Mark Stone 59	Plus/Moins Ryan Merkley 22

	Victoires Mark Visentin 27	Pourcentage d’arrêts Charlie Lindgren 0.93

Statistiques d’équipe
Buts pour 236 3.11 GFG	Tirs pour 3030 39.87 Avg	Pourcentage en avantage numérique 11.8% 23 GF	Début de zone offensive 40.6%
Buts contre 224 2.95 GAA	Tirs contre 2853 37.54 Avg	Pourcentage en désavantage numérique 85.2%% 32 GA	Début de la zone défensive 39.7%

Informations de l'équipe
	Directeur général	Martin Coulombe
	Entraîneur	Ken Hitchcock
	Division	Eastern
	Conférence	Circuit Jodoin
	Capitaine
	Assistant #1	Phillip Danault
	Assistant #2	Jori Lehtera
Informations de l’aréna
	Nom	Consol Energy Arena
	Capacité	20,000
	Assistance	18,980
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	28
	Limite contact	51 / 75
	Espoirs	3
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	61,450,001$
	Plafond salarial disponible	23,549,999$
	Valeur du plafond salarial spécial	2,750,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	39,187,682$
	Dépenses annuelles à ce jour	57,646,056$
	Revenus de la saison estimés	2,009,625$
	Dépenses de la saison estimées	3,456,321$
	Compte bancaire actuel	68,164,676$
	Compte bancaire projeté	66,814,611$

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	Jori Lehtera (A)	X	X			100.00	80	48	72	85	76	83	83	94	86	92	85	65	68	97	97	22	99	78		0	34	4	4,500,000$
2	Mark Stone			X		100.00	49	11	97	88	76	82	82	90	52	82	83	61	71	90	98	29	99	75		0	30	1	3,750,000$
3	Zach Stepan	X				100.00	86	43	72	88	71	81	82	89	86	85	81	72	71	61	70	45	99	75		0	29	2	3,700,000$
4	Michael Dal Colle	X	X			100.00	79	39	75	85	76	82	82	78	88	76	78	69	71	64	71	62	99	72		0	27	1	2,000,000$
5	Aleksi Heponiemi	X				100.00	79	36	73	86	69	77	80	89	86	81	79	72	71	48	49	62	99	72		0	24	2	2,600,000$
6	Jan Drozg		X	X		100.00	77	36	76	87	74	78	80	86	54	79	81	67	73	55	59	53	99	72		0	24	2	2,200,000$
7	Andre Burakovsky	X	X	X		100.00	53	13	97	85	77	85	82	83	87	74	75	69	73	63	80	58	99	71		0	28	3	1,100,000$
8	Timo Meier	X	X	X		100.00	84	46	72	78	82	81	82	76	86	71	74	72	71	80	76	74	99	71		0	26	2	1,900,000$
9	Evander Kane		X			100.00	79	36	77	87	70	85	84	71	61	63	73	71	80	84	90	39	99	71	N	0	32	3	3,550,000$
10	Phillip Danault (A)	X	X			100.00	81	45	76	86	72	83	83	73	88	71	67	71	63	86	85	57	99	71		0	30	1	1,000,000$
11	Brett Connolly		X	X		100.00	52	13	91	88	75	83	83	65	55	64	69	86	68	76	78	46	99	70	N	0	31	8	2,800,000$
12	Mathieu Joseph		X	X		100.00	80	39	74	83	72	79	80	73	54	70	73	72	71	70	74	59	99	69		0	26	5	1,500,000$
13	Michael Del Zotto				X	100.00	49	15	96	85	76	86	85	99	62	93	91	74	74	80	91	42	99	78		0	33	6	5,200,000$
14	Ryan Merkley				X	100.00	77	34	76	77	71	81	82	89	57	83	79	71	71	56	74	73	99	73		0	23	3	2,000,000$
15	Callan Foote				X	100.00	86	47	75	70	82	82	82	75	57	77	71	74	67	62	71	75	99	72		0	24	4	1,700,000$
16	Tommy Vannelli				X	100.00	65	28	79	83	75	82	82	75	54	79	77	71	68	60	63	49	99	71		0	28	3	2,100,000$
17	Jared Cowen				X	100.00	48	9	99	87	84	83	83	47	56	46	53	84	64	89	99	38	99	70		0	32	7	3,800,000$
18	Nathan McIver				X	100.00	99	99	31	84	79	68	68	42	56	40	50	78	60	99	99	22	99	70		0	38	1	500,001$
19	Pierre-Olivier Joseph				X	100.00	83	39	70	80	71	81	81	66	57	68	64	75	67	56	61	74	99	70		0	24	2	1,500,000$
20	Ian White				X	100.00	29	13	98	83	73	87	81	67	76	66	64	79	69	99	99	9	99	69		0	39	1	2,950,000$
Rayé
1	Joni Ikonen	X		X		100.00	76	35	78	87	75	78	80	74	86	64	74	69	73	56	60	63	99	69		0	24	1	1,250,000$
Équipe Mineure
1	Quinton Byfield (R)	X				99.00	81	43	74	70	82	69	72	85	79	75	77	75	73	55	66	91	99	70		0	21	1	925,000$
2	Linus Lindstrom (R)	X				100.00	81	45	69	87	73	79	79	74	87	69	69	66	65	67	62	56	99	68		0	25	2	800,000$
3	Arthur Kaliyev (R)		X	X		99.00	76	39	75	76	78	76	78	75	54	65	75	70	73	44	50	68	99	67		0	22	2	950,000$
4	Raphael Lavoie (R)	X		X		99.93	74	37	75	67	77	72	72	79	77	71	71	66	70	51	63	71	99	66		0	22	2	650,000$
5	Veeti Miettinen (R)			X		100.00	78	35	69	82	68	68	72	77	54	67	75	67	71	58	56	58	99	66		0	21	5	1,250,000$
6	Kent Johnson (R)	X				100.00	70	34	73	78	71	69	74	73	77	71	69	72	66	30	33	83	99	65		0	20	1	650,000$
7	Benjamin King (R)	X		X		100.00	73	38	72	69	76	65	65	75	73	70	71	64	71	49	63	64	99	64		0	21	3	650,000$
8	Ryan Kesler	X				100.00	74	54	84	84	75	80	79	47	87	44	46	74	66	99	99	12	99	63		0	39	1	1,499,999$
9	Lawson Crouse (R)		X			100.00	90	49	73	77	80	80	81	50	53	49	57	75	68	61	67	63	99	63		0	27	1	800,000$
10	Tristen Robins (R)			X		100.00	68	32	76	67	72	67	67	75	59	69	70	67	70	45	52	73	99	63		0	21	2	650,000$
11	Brandon Coe (R)			X		100.00	70	36	74	69	74	65	65	70	54	70	69	62	69	49	58	64	99	63		0	21	3	500,000$
12	Nolan Foote (R)		X			100.00	73	39	71	68	80	65	68	62	50	55	61	71	63	51	59	76	99	62		0	22	3	700,000$
13	Bowen Byram (R)				X	100.00	78	39	73	72	74	72	77	74	53	74	74	74	71	60	73	83	99	69		0	22	1	925,000$
14	Jesse Blacker				X	100.00	37	7	99	87	75	85	82	58	50	57	62	77	62	83	94	23	99	68		0	32	2	1,499,999$
15	Jordan Spence (R)				X	100.00	69	34	78	69	72	77	77	78	54	74	67	65	67	56	78	64	99	67		0	22	3	650,000$
16	Gianni Fairbrother (R)				X	100.00	70	37	75	67	73	71	74	68	50	70	62	72	60	56	65	59	99	66		0	23	1	500,000$
17	Evan Nause (R)				X	100.00	72	34	74	69	72	70	70	68	58	71	66	69	66	75	86	26	99	66		0	20	3	650,000$
18	Kasper Kotkansalo (R)				X	100.00	76	38	77	70	78	80	80	48	54	44	44	76	50	52	57	61	99	65		0	24	2	700,000$
19	Philip Samuelsson				X	100.00	46	10	99	86	78	83	82	45	56	41	36	68	50	83	93	33	99	64	N	0	32	1	550,000$
20	Roman Polak				X	100.00	27	7	98	87	76	74	70	35	56	32	36	78	50	99	99	32	99	63	N	0	37	3	1,499,999$
21	Linus Omark		X			100.00	35	1	98	89	68	80	77	76	55	69	77	53	67	99	99	7	99	68		0	37	2	500,001$
22	German Rubtsov	X				95.68	76	43	63	68	74	66	68	62	77	60	60	74	60	74	75	70	99	64		0	25	3	800,000$
23	Aaron Ness				X	100.00	58	23	84	77	72	78	79	60	55	57	52	68	50	91	98	36	99	66	N	0	33	1	550,000$
24	Ian McCoshen				X	100.00	64	31	86	87	79	81	83	51	56	45	51	70	60	63	63	50	99	66		0	28	3	700,000$
25	Ben Meehan (R)				X	100.00	71	34	72	70	71	70	70	65	54	67	69	65	68	47	50	61	99	63		0	22	2	500,000$

	MOYENNE D’ÉQUIPE					100.00	71	34	79	84	75	81	81	76	69	73	73	72	70	73	78	50	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	TA	SP	Âge	Contrat	Salaire
1	Mark Visentin	100.00	83	85	82	81	92	99	99	97	97	74	75	83	81	61	99	74	N	0	31	3	5,700,000$
2	Charlie Lindgren	100.00	81	87	82	80	90	90	90	90	90	80	81	80	99	43	99	72		0	29	2	1,400,000$
Rayé
Équipe Mineure
1	Ethan Haider (R)	100.00	81	85	83	86	90	92	92	92	92	80	81	37	45	64	99	68		0	22	2	1,100,000$
2	Dylan Garand (R)	100.00	82	85	82	77	85	85	85	85	85	82	85	51	65	73	99	66		0	21	2	925,000$
3	Jakub Dobes (R)	100.00	77	77	76	84	78	78	78	78	78	77	78	49	64	64	99	63		0	22	3	500,000$

	MOYENNE D’ÉQUIPE	100.00	82	86	82	81	91	95	95	94	94	77	78	82	90	52	99	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Hitchcock	83	87	98	94	99	99	40	CAN	71	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	Mark Stone	Pittsburgh Penguins	RW	74	21	38	59	14	0	0	55	58	302	86	167	6.95%	32	1329	17.97	0	8	8	31	168	0	0	0	1	36	4	2	37.67%	146	60	26	0	0	0.89	3	4	0	0	0	3	3	5
2	Zach Stepan	Pittsburgh Penguins	C	76	25	33	58	7	24	0	115	79	291	87	166	8.59%	31	1215	16.00	2	5	7	21	140	0	0	0	1	10	5	1	51.43%	1396	51	24	0	1	0.95	0	1	0	0	0	5	5	3
3	Jori Lehtera	Pittsburgh Penguins	C/LW	76	29	27	56	-8	43	5	104	76	282	97	153	10.28%	28	1320	17.37	6	3	9	39	179	0	1	1	3	72	3	3	53.90%	449	70	26	0	1	0.85	0	0	0	0	1	3	2	4
4	Jan Drozg	Pittsburgh Penguins	LW/RW	76	23	28	51	-6	26	0	95	49	224	62	145	10.27%	29	1187	15.62	3	11	14	27	169	0	0	0	0	0	3	0	31.94%	72	44	18	0	0	0.86	3	10	0	0	0	1	0	4
5	Aleksi Heponiemi	Pittsburgh Penguins	C	76	19	30	49	1	32	0	101	71	254	95	150	7.48%	33	1161	15.29	3	1	4	15	128	0	0	0	0	0	0	1	49.40%	583	45	23	0	0	0.84	0	1	0	0	0	3	1	2
6	Phillip Danault	Pittsburgh Penguins	C/LW	76	16	25	41	19	28	0	87	102	202	61	112	7.92%	32	1124	14.80	0	0	0	0	0	1	0	1	7	196	3	2	51.09%	1327	40	17	1	0	0.73	0	0	0	0	0	1	4	1
7	Michael Del Zotto	Pittsburgh Penguins	D	76	4	36	40	-1	2	0	11	59	180	70	80	2.22%	75	1249	16.44	1	5	6	24	187	0	0	0	0	9	0	0	0%	0	49	38	1	0	0.64	0	8	0	0	0	0	1	0
8	Michael Dal Colle	Pittsburgh Penguins	C/LW	76	18	19	37	-9	28	0	90	63	181	56	109	9.94%	28	1110	14.61	1	4	5	7	136	1	1	2	4	30	4	4	45.73%	363	36	15	0	0	0.67	1	5	0	0	0	0	0	4
9	Andre Burakovsky	Pittsburgh Penguins	C/LW/RW	76	19	17	36	19	0	0	26	51	187	63	117	10.16%	29	1091	14.36	0	1	1	11	85	1	0	1	1	49	3	1	40.00%	125	30	18	0	0	0.66	2	5	0	0	0	2	3	4
10	Timo Meier	Pittsburgh Penguins	C/LW/RW	76	13	14	27	5	41	5	107	73	160	52	113	8.13%	30	1139	15.00	0	0	0	0	23	0	3	3	10	82	3	1	51.25%	279	24	26	0	0	0.47	1	1	0	0	1	2	1	2
11	Brett Connolly	Pittsburgh Penguins	LW/RW	76	10	13	23	7	2	0	54	72	138	46	72	7.25%	48	1125	14.81	0	0	0	0	4	1	2	3	6	211	2	0	41.38%	58	25	23	2	0	0.41	0	0	0	0	0	1	2	1
12	Mathieu Joseph	Pittsburgh Penguins	LW/RW	75	13	9	22	10	14	0	78	46	116	36	69	11.21%	26	780	10.40	0	0	0	1	4	2	0	2	5	68	2	0	35.85%	53	11	20	1	0	0.56	0	0	0	0	0	0	0	1
13	Ryan Merkley	Pittsburgh Penguins	D	76	4	15	19	22	24	0	58	55	97	39	40	4.12%	55	1207	15.89	2	1	3	11	162	0	0	0	0	0	1	0	0%	0	18	29	0	0	0.31	0	0	0	0	0	0	1	1
14	Callan Foote	Pittsburgh Penguins	D	76	1	17	18	22	33	5	66	63	51	27	40	1.96%	72	1255	16.53	1	1	2	5	143	0	2	2	3	80	0	0	0%	0	8	38	0	0	0.29	0	0	0	0	1	0	0	2
15	Tommy Vannelli	Pittsburgh Penguins	D	80	1	13	14	-12	28	0	44	67	90	43	41	1.11%	92	1245	15.57	1	0	1	7	93	0	0	0	0	20	0	0	0%	0	25	38	0	0	0.22	0	0	0	0	0	0	0	0
16	Evander Kane	Pittsburgh Penguins	LW	73	7	6	13	8	14	0	46	36	109	37	61	6.42%	22	705	9.66	0	0	0	0	14	0	0	0	0	2	0	1	52.94%	34	19	13	0	0	0.37	3	10	0	0	0	0	1	2
17	Ian White	Pittsburgh Penguins	D	76	3	9	12	3	0	0	3	58	51	21	23	5.88%	92	1072	14.12	0	0	0	0	1	0	0	0	1	159	0	0	0%	0	3	35	0	0	0.22	0	0	0	0	0	0	1	0
18	Jared Cowen	Pittsburgh Penguins	D	76	3	8	11	2	0	0	13	68	48	33	34	6.25%	74	1245	16.39	0	0	0	0	1	1	0	1	5	226	0	0	0%	0	5	50	0	0	0.18	0	0	0	0	0	0	0	0
19	Nathan McIver	Pittsburgh Penguins	D	74	0	9	9	13	107	25	103	49	59	25	27	0%	71	1049	14.18	0	0	0	0	0	0	0	0	3	176	0	0	0%	0	1	31	0	0	0.17	0	0	1	2	2	0	0	0
20	Pierre-Olivier Joseph	Pittsburgh Penguins	D	76	1	8	9	-7	20	0	59	60	42	17	16	2.38%	64	803	10.57	0	0	0	0	0	0	0	0	0	59	0	0	0%	0	4	26	0	0	0.22	0	0	0	0	0	0	0	1
21	Joni Ikonen	Pittsburgh Penguins	C/RW	46	1	5	6	-12	14	0	23	21	79	30	37	1.27%	11	464	10.10	0	0	0	0	0	0	0	0	2	46	0	0	42.86%	35	12	10	0	0	0.26	1	2	0	0	0	0	0	0
22	Roman Polak	Wilkes-Barre/Scranton Penguins (PIT)	D	2	0	0	0	0	0	0	0	1	1	0	0	0%	0	23	11.71	0	0	0	0	0	0	0	0	0	3	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1564	231	379	610	97	480	40	1338	1277	3144	1083	1772	7.35%	974	22909	14.65	20	40	60	199	1646	7	9	16	52	1544	33	16	49.57%	4920	580	545	5	2	0.53	14	47	1	2	5	21	25	37

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mark Visentin	Pittsburgh Penguins	55	27	18	10	0.926	2.74	3351	0	153	2059	794	2	4	0.636	33	55	18	8	9	4
2	Charlie Lindgren	Pittsburgh Penguins	19	10	6	3	0.930	2.60	1153	2	50	719	287	1	0	0.615	13	19	55	5	3	1
Statistiques d’équipe totales ou en moyenne			74	37	24	13	0.927	2.70	4504	2	203	2778	1081	3	4		46	74	73	13	12	5

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
Aleksi Heponiemi	Pittsburgh Penguins	C	24	1990-09-19 10:51:27	No	166 Lbs	6 ft1	No	No	N/A		No	No	2	Pro Only	2,600,000$	150,526$	2,600,000$	150,526$	No	2,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Andre Burakovsky	Pittsburgh Penguins	C/LW/RW	28	1986-10-05 14:16:54	No	204 Lbs	6 ft2	No	No	N/A		No	No	3	Pro Only	1,100,000$	63,684$	1,100,000$	63,684$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Brett Connolly	Pittsburgh Penguins	LW/RW	31	1983-08-06 08:38:02	No	198 Lbs	6 ft2	Yes	No	N/A		No	No	8	Pro Only	2,800,000$	162,105$	2,800,000$	162,105$	No	2,800,000$	2,800,000$	2,800,000$	2,800,000$	2,800,000$	2,800,000$	2,800,000$	-	-	Yes	Yes	Yes	Yes	Yes	Yes	Yes	-	-
Callan Foote	Pittsburgh Penguins	D	24	1990-10-04 05:16:41	No	229 Lbs	6 ft5	No	No	N/A		No	No	4	Pro Only	1,700,000$	98,421$	1,700,000$	98,421$	No	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Charlie Lindgren	Pittsburgh Penguins	G	29	1985-09-04 18:54:27	No	193 Lbs	6 ft1	No	No	N/A		No	No	2	Pro Only	1,400,000$	81,053$	1,400,000$	81,053$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Evander Kane	Pittsburgh Penguins	LW	32	1982-08-07 02:38:02	No	177 Lbs	6 ft0	Yes	No	N/A		No	No	3	Pro Only	3,550,000$	205,526$	3,550,000$	205,526$	No	3,550,000$	3,550,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Ian White	Pittsburgh Penguins	D	39	1975-08-06 08:38:02	No	191 Lbs	5 ft10	No	No	N/A		No	No	1	Pro Only	2,950,000$	170,789$	2,950,000$	170,789$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jan Drozg	Pittsburgh Penguins	LW/RW	24	1990-09-19 10:56:30	No	190 Lbs	6 ft2	No	No	N/A		No	No	2	Pro Only	2,200,000$	127,368$	2,200,000$	127,368$	No	2,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jared Cowen	Pittsburgh Penguins	D	32	1982-08-07 02:38:02	No	231 Lbs	6 ft6	No	No	N/A		No	No	7	Pro Only	3,800,000$	220,000$	3,800,000$	220,000$	No	3,800,000$	3,800,000$	3,800,000$	3,800,000$	3,800,000$	3,800,000$	-	-	-	No	No	No	No	No	No	-	-	-
Joni Ikonen	Pittsburgh Penguins	C/RW	24	1990-09-19 10:41:25	No	194 Lbs	6 ft2	No	No	Trade	2024-03-05	No	No	1	Pro Only	1,250,000$	72,368$	1,250,000$	72,368$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jori Lehtera	Pittsburgh Penguins	C/LW	34	1980-12-23 09:33:40	No	201 Lbs	6 ft2	No	No	N/A		No	No	4	Pro Only	4,500,000$	260,526$	4,500,000$	260,526$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mark Stone	Pittsburgh Penguins	RW	30	1985-05-13 13:38:23	No	207 Lbs	6 ft2	No	No	Trade	2024-03-03	No	No	1	Pro Only	3,750,000$	217,105$	3,750,000$	217,105$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mark Visentin	Pittsburgh Penguins	G	31	1983-10-14 10:13:26	No	198 Lbs	6 ft2	Yes	No	N/A		No	No	3	Pro Only	5,700,000$	330,000$	5,700,000$	330,000$	No	5,700,000$	5,700,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Mathieu Joseph	Pittsburgh Penguins	LW/RW	26	1988-09-27 13:10:08	No	189 Lbs	6 ft1	No	No	Trade	2024-01-01	No	No	5	Pro Only	1,500,000$	86,842$	1,500,000$	86,842$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Michael Dal Colle	Pittsburgh Penguins	C/LW	27	1987-10-05 15:26:55	No	201 Lbs	6 ft3	No	No	N/A		No	No	1	Pro Only	2,000,000$	115,789$	2,000,000$	115,789$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Del Zotto	Pittsburgh Penguins	D	33	1981-08-06 20:38:02	No	215 Lbs	5 ft11	No	No	N/A		No	No	6	Pro Only	5,200,000$	301,053$	5,200,000$	301,053$	No	5,200,000$	5,200,000$	5,200,000$	5,200,000$	5,200,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Nathan McIver	Pittsburgh Penguins	D	38	1976-08-06 14:38:02	No	215 Lbs	6 ft2	No	No	N/A		No	No	1	Pro & Farm	500,001$	28,947$	500,001$	28,947$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Phillip Danault	Pittsburgh Penguins	C/LW	30	1984-10-14 12:29:40	No	189 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	1,000,000$	57,895$	1,000,000$	57,895$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Pierre-Olivier Joseph	Pittsburgh Penguins	D	24	1990-09-19 11:02:53	No	171 Lbs	6 ft4	No	No	N/A		No	No	2	Pro Only	1,500,000$	86,842$	1,500,000$	86,842$	No	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ryan Merkley	Pittsburgh Penguins	D	23	1991-09-07 20:50:22	No	179 Lbs	6 ft1	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	-	-	-	-	-	-	-
Timo Meier	Pittsburgh Penguins	C/LW/RW	26	1988-09-27 13:55:51	No	236 Lbs	6 ft2	No	No	N/A		No	No	2	Pro Only	1,900,000$	110,000$	1,900,000$	110,000$	No	1,900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tommy Vannelli	Pittsburgh Penguins	D	28	1986-10-05 14:14:59	No	192 Lbs	6 ft2	No	No	Trade	2024-03-11	No	No	3	Pro Only	2,100,000$	121,579$	2,100,000$	121,579$	No	2,100,000$	2,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Zach Stepan	Pittsburgh Penguins	C	29	1985-10-14 13:11:43	No	187 Lbs	5 ft11	No	No	N/A		No	No	2	Pro Only	3,700,000$	214,211$	3,700,000$	214,211$	No	3,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	28.96	198 Lbs	6 ft2	2.91	2,552,174$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
58,700,001$	47,250,000$	33,950,000$	19,500,000$	13,300,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andre Burakovsky	Zach Stepan	Mark Stone	30	1	2	2
2	Jan Drozg	Jori Lehtera	Aleksi Heponiemi	27	1	2	2
3	Timo Meier	Phillip Danault	Brett Connolly	25	1	2	2
4	Evander Kane	Michael Dal Colle	Mathieu Joseph	18	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Pierre-Olivier Joseph	Tommy Vannelli	28	1	2	2
2	Callan Foote	Ryan Merkley	28	1	2	2
3	Jared Cowen	Nathan McIver	24	1	2	2
4	Michael Del Zotto	Ian White	20	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andre Burakovsky	Zach Stepan	Mark Stone	60	1	0	4
2	Michael Dal Colle	Jori Lehtera	Jan Drozg	40	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Michael Del Zotto	Callan Foote	60	1	0	4
2	Ryan Merkley	Tommy Vannelli	40	1	0	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Phillip Danault	Brett Connolly	60	1	4	0
2	Timo Meier	Mathieu Joseph	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jared Cowen	Nathan McIver	60	1	4	0
2	Callan Foote	Ian White	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Phillip Danault	60	1	4	0	Jared Cowen	Nathan McIver	60	1	4	0
2	Timo Meier	40	1	4	0	Callan Foote	Ian White	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Zach Stepan	Mark Stone	60	1	2	2
2	Aleksi Heponiemi	Jan Drozg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ian White	Nathan McIver	60	1	2	2
2	Ryan Merkley	Callan Foote	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Andre Burakovsky	Zach Stepan	Mark Stone	Callan Foote	Ryan Merkley

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Evander Kane	Phillip Danault	Brett Connolly	Jared Cowen	Ian White

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Evander Kane, Zach Stepan, Timo Meier	Mark Stone, Jori Lehtera	Brett Connolly

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Merkley, Callan Foote, Tommy Vannelli	Michael Del Zotto	Jared Cowen, Ian White

Tirs de pénalité
Evander Kane, Michael Dal Colle, Jan Drozg, Andre Burakovsky, Mark Stone

Gardien
#1 : Mark Visentin, #2 : Charlie Lindgren

Lignes d’attaque personnalisées en prolongation
Zach Stepan, Jori Lehtera, Michael Dal Colle, Mark Stone, Brett Connolly, Aleksi Heponiemi, Aleksi Heponiemi, Jan Drozg, Timo Meier, Phillip Danault , Mathieu Joseph

Lignes de défense personnalisées en prolongation
Michael Del Zotto, Ryan Merkley, Callan Foote, Ian White, Jared Cowen

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	0	1	0	0	1	0	1	7	12	-5	1	0	0	0	0	0	0	1	4	5	-1	2	0	1	0	0	1	0	0	3	7	-4	2	0.333	7	12	19	0	0	0	4	3	0	125	42	47	33	6	118	32	36	59	5	1	20.00%	9	2	77.78%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	70	44	65	25	51	25
2	Boston Bruins	3	1	1	0	0	0	1	0	11	10	1	2	0	1	0	0	0	1	0	6	7	-1	1	1	0	0	0	0	0	0	5	3	2	4	0.667	11	15	26	0	0	2	3	5	1	122	42	35	45	3	112	30	8	60	8	1	12.50%	4	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	68	41	65	26	50	25
3	Buffalo Sabres	3	0	2	0	1	0	0	0	5	7	-2	2	0	1	0	1	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	5	8	13	0	0	1	2	1	1	104	42	37	24	1	112	41	16	68	9	1	11.11%	8	1	87.50%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	64	38	64	26	51	24
4	Calgary Flames	3	1	1	0	0	0	0	1	11	13	-2	1	0	1	0	0	0	0	0	2	5	-3	2	1	0	0	0	0	0	1	9	8	1	3	0.500	11	16	27	0	0	3	5	3	0	117	36	40	41	3	115	33	30	39	5	1	20.00%	10	3	70.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	63	38	70	26	51	24
5	Carolina Hurricanes	3	2	0	0	0	0	0	1	11	8	3	1	1	0	0	0	0	0	0	5	2	3	2	1	0	0	0	0	0	1	6	6	0	5	0.833	11	19	30	0	0	7	2	2	2	125	56	43	26	6	103	34	34	62	7	2	28.57%	7	2	71.43%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	69	42	63	25	51	25
6	Chicago Blackhawks	3	0	2	0	0	1	0	0	6	10	-4	2	0	1	0	0	1	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	1	0.167	6	11	17	0	0	3	3	0	0	111	49	42	19	1	104	36	14	45	8	1	12.50%	7	2	71.43%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	65	40	67	27	50	24
7	Colorado Avalanche	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	12	20	0	0	3	1	4	0	83	33	23	27	0	75	20	6	36	10	1	10.00%	3	1	66.67%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	45	27	42	15	32	17
8	Dallas Stars	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	4	8	12	0	0	0	2	2	0	84	25	28	31	0	67	27	12	48	3	0	0.00%	6	1	83.33%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	51	31	36	15	32	16
9	Detroit Red Wings	3	0	1	0	0	0	1	1	7	10	-3	2	0	0	0	0	0	1	1	7	7	0	1	0	1	0	0	0	0	0	0	3	-3	3	0.500	7	9	16	0	0	2	0	4	1	104	42	28	30	10	120	29	26	59	7	0	0.00%	13	3	76.92%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	69	41	67	27	52	26
10	Edmonton Oilers	3	1	1	0	1	0	0	0	10	9	1	1	1	0	0	0	0	0	0	4	1	3	2	0	1	0	1	0	0	0	6	8	-2	4	0.667	10	17	27	0	0	2	3	4	1	132	38	45	47	2	113	40	14	49	8	1	12.50%	7	1	85.71%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	63	37	68	25	49	23
11	Florida Panthers	3	1	0	0	1	1	0	0	9	7	2	1	0	0	0	1	0	0	0	3	2	1	2	1	0	0	0	1	0	0	6	5	1	5	0.833	9	13	22	0	0	0	2	6	1	106	35	31	38	2	124	42	18	51	11	1	9.09%	9	1	88.89%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	64	38	67	26	48	25
12	Los Angeles Kings	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	15	24	0	0	1	3	5	0	100	36	23	41	0	114	45	28	49	8	1	12.50%	14	2	85.71%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	57	32	73	26	49	23
13	Minnesota Wild	3	1	1	0	0	1	0	0	6	6	0	1	0	0	0	0	1	0	0	1	2	-1	2	1	1	0	0	0	0	0	5	4	1	3	0.500	6	10	16	0	0	2	3	1	0	119	40	38	38	3	115	49	16	51	5	0	0.00%	8	0	100.00%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	64	38	68	26	49	24
14	Montreal Canadiens	3	1	2	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	4	1	3	2	0	2	0	0	0	0	0	4	8	-4	2	0.333	8	13	21	2	0	1	3	4	0	112	30	42	40	0	107	36	27	55	5	0	0.00%	11	1	90.91%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	61	35	68	27	50	24
15	New Jersey Devils	3	0	3	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	4	7	11	0	0	0	2	2	0	129	47	37	45	0	128	50	12	63	7	0	0.00%	6	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	64	39	64	25	51	24
16	New York Islanders	2	1	0	0	0	0	0	1	6	5	1	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	8	14	0	0	1	2	3	1	83	18	33	30	5	61	19	6	33	4	1	25.00%	3	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	45	28	43	17	35	18
17	New York Rangers	3	1	2	0	0	0	0	0	13	13	0	2	0	2	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.333	13	22	35	0	0	4	4	5	0	128	38	52	38	0	113	38	10	43	13	1	7.69%	5	1	80.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	67	42	62	24	49	25
18	Ottawa Senators	3	1	1	0	0	0	1	0	10	9	1	2	1	0	0	0	0	1	0	10	8	2	1	0	1	0	0	0	0	0	0	1	-1	4	0.667	10	15	25	0	0	3	3	3	2	123	51	40	28	6	120	39	20	51	5	0	0.00%	10	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	65	39	68	27	51	24
19	Philadelphia Flyers	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	10	16	26	0	0	2	4	4	0	81	27	25	29	0	82	21	15	32	7	1	14.29%	5	1	80.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	44	28	43	16	32	16
20	San Jose Sharks	3	1	2	0	0	0	0	0	11	10	1	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	11	16	27	0	0	2	2	7	0	119	32	45	42	0	114	37	20	42	2	0	0.00%	10	1	90.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	61	37	67	25	50	23
21	St-Louis Blues	3	0	1	0	0	1	1	0	8	10	-2	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	1	0	0	1	2	-1	3	0.500	8	13	21	0	0	3	4	0	4	119	40	38	37	12	108	42	20	45	8	1	12.50%	10	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	70	43	63	29	54	25
22	Tampa Bay Lightning	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	11	19	0	0	3	3	2	0	80	31	22	27	0	82	20	15	36	4	0	0.00%	5	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	43	27	42	17	34	16
23	Toronto Maple Leafs	3	2	0	0	0	0	0	1	9	6	3	2	1	0	0	0	0	0	1	5	4	1	1	1	0	0	0	0	0	0	4	2	2	5	0.833	9	14	23	0	0	2	6	1	1	125	41	36	48	4	96	38	18	55	9	1	11.11%	9	0	100.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	67	39	64	27	53	26
24	Vancouver Canucks	3	1	0	0	1	0	0	1	13	10	3	2	1	0	0	0	0	0	1	11	9	2	1	0	0	0	1	0	0	0	2	1	1	5	0.833	13	21	34	0	0	7	3	2	2	135	57	42	28	13	110	35	20	59	11	2	18.18%	10	4	60.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	70	43	66	26	51	25
25	Vegas Golden Knights	3	3	0	0	0	0	0	0	13	6	7	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	8	4	4	6	1.000	13	24	37	0	0	2	7	4	0	125	38	56	31	0	110	31	20	51	11	4	36.36%	10	1	90.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	64	41	68	26	47	22
26	Washington Capitals	3	1	1	0	0	0	0	1	10	9	1	1	0	1	0	0	0	0	0	4	5	-1	2	1	0	0	0	0	0	1	6	4	2	3	0.500	10	17	27	0	0	2	6	2	0	127	50	36	40	4	121	45	14	62	10	1	10.00%	7	2	71.43%	1	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	71	45	66	24	47	24
27	Winnipeg Jets	3	1	2	0	0	0	0	0	9	12	-3	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	5	-2	2	0.333	9	15	24	2	0	2	2	5	0	112	56	27	29	0	109	40	20	53	5	0	0.00%	10	2	80.00%	0	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	68	43	62	24	48	23
	Total	76	29	26	0	4	5	4	8	236	224	12	39	14	12	0	2	2	4	5	134	117	17	37	15	14	0	2	3	0	3	102	107	-5	87	0.572	236	377	613	4	0	60	84	84	17	3030	1072	991	932	81	2853	949	495	1356	195	23	11.79%	216	32	85.19%	7	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	1683	1029	1673	663	1279	632
	_Since Last GM Reset	76	29	26	0	4	5	4	8	236	224	12	39	14	12	0	2	2	4	5	134	117	17	37	15	14	0	2	3	0	3	102	107	-5	87	0.572	236	377	613	4	0	60	84	84	17	3030	1072	991	932	81	2853	949	495	1356	195	23	11.79%	216	32	85.19%	7	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	1683	1029	1673	663	1279	632
	_Vs Conference	76	29	26	0	4	5	4	8	236	224	12	39	14	12	0	2	2	4	5	134	117	17	37	15	14	0	2	3	0	3	102	107	-5	87	0.572	236	377	613	4	0	60	84	84	17	3030	1072	991	932	81	2853	949	495	1356	195	23	11.79%	216	32	85.19%	7	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	1683	1029	1673	663	1279	632
	_Vs Division	39	15	13	0	2	1	3	5	121	107	14	20	6	6	0	2	0	3	3	71	58	13	19	9	7	0	0	1	0	2	50	49	1	46	0.590	121	187	308	2	0	30	42	44	10	1549	550	497	488	41	1481	482	239	730	106	10	9.43%	102	12	88.24%	3	1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%	868	529	852	341	659	329

			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
76	87	W2	236	377	613	3030	2853	949	495	1356	4	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	29	26	4	5	4	8	236	224

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	14	12	2	2	4	5	134	117

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	15	14	2	3	0	3	102	107

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

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
195	23	11.79%	216	32	85.19%	7

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
1072	991	932	81	60	84	84	17

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
1118	2276	49.12%	1156	2229	51.86%	571	1107	51.58%

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
1683	1029	1673	663	1279	632

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	13	Pittsburgh Penguins	3	Los Angeles Kings	1	AW			Sommaire du match
4	27	Pittsburgh Penguins	5	Colorado Avalanche	3	AW			Sommaire du match
6	40	New Jersey Devils	2	Pittsburgh Penguins	1	BL			Sommaire du match
8	50	Anaheim Ducks	5	Pittsburgh Penguins	4	BL	X	X	Sommaire du match
10	66	Pittsburgh Penguins	4	Toronto Maple Leafs	2	AW			Sommaire du match
13	84	Carolina Hurricanes	2	Pittsburgh Penguins	5	BW			Sommaire du match
17	107	Pittsburgh Penguins	3	Philadelphia Flyers	2	AW			Sommaire du match
18	114	San Jose Sharks	4	Pittsburgh Penguins	2	BL			Sommaire du match
21	128	Pittsburgh Penguins	0	Ottawa Senators	1	AL			Sommaire du match
24	144	Pittsburgh Penguins	1	St-Louis Blues	2	AL	X		Sommaire du match
27	163	Pittsburgh Penguins	4	Washington Capitals	1	AW			Sommaire du match
30	182	New York Rangers	4	Pittsburgh Penguins	3	BL			Sommaire du match
33	196	Pittsburgh Penguins	2	Montreal Canadiens	4	AL			Sommaire du match
34	200	Calgary Flames	5	Pittsburgh Penguins	2	BL			Sommaire du match
36	217	Minnesota Wild	2	Pittsburgh Penguins	1	BL	X		Sommaire du match
39	235	Vancouver Canucks	2	Pittsburgh Penguins	5	BW			Sommaire du match
40	238	Dallas Stars	1	Pittsburgh Penguins	3	BW			Sommaire du match
42	252	Winnipeg Jets	2	Pittsburgh Penguins	3	BW			Sommaire du match
44	258	Buffalo Sabres	3	Pittsburgh Penguins	2	BL			Sommaire du match
46	275	Pittsburgh Penguins	6	Vegas Golden Knights	3	AW			Sommaire du match
50	293	Pittsburgh Penguins	3	Chicago Blackhawks	5	AL			Sommaire du match
51	300	Pittsburgh Penguins	2	Anaheim Ducks	3	AL	X		Sommaire du match
53	317	Washington Capitals	5	Pittsburgh Penguins	4	BL			Sommaire du match
56	327	Edmonton Oilers	1	Pittsburgh Penguins	4	BW			Sommaire du match
58	343	St-Louis Blues	6	Pittsburgh Penguins	4	BL			Sommaire du match
60	351	Pittsburgh Penguins	0	Detroit Red Wings	3	AL			Sommaire du match
63	374	Pittsburgh Penguins	3	Florida Panthers	1	AW			Sommaire du match
64	381	Tampa Bay Lightning	1	Pittsburgh Penguins	5	BW			Sommaire du match
67	394	Pittsburgh Penguins	5	Boston Bruins	3	AW			Sommaire du match
70	412	Pittsburgh Penguins	5	New York Rangers	3	AW			Sommaire du match
71	419	Chicago Blackhawks	3	Pittsburgh Penguins	2	BL	X		Sommaire du match
73	427	Pittsburgh Penguins	3	Calgary Flames	4	AL	X	X	Sommaire du match
75	442	Pittsburgh Penguins	4	New York Islanders	2	AW			Sommaire du match
77	450	Los Angeles Kings	5	Pittsburgh Penguins	2	BL			Sommaire du match
79	467	Pittsburgh Penguins	3	Winnipeg Jets	5	AL			Sommaire du match
81	478	Philadelphia Flyers	2	Pittsburgh Penguins	7	BW			Sommaire du match
84	496	Vegas Golden Knights	2	Pittsburgh Penguins	5	BW			Sommaire du match
87	509	Pittsburgh Penguins	3	Carolina Hurricanes	2	AW			Sommaire du match
91	533	Pittsburgh Penguins	1	New Jersey Devils	2	AL			Sommaire du match
97	566	Pittsburgh Penguins	1	Buffalo Sabres	3	AL			Sommaire du match
98	573	Pittsburgh Penguins	1	Dallas Stars	6	AL			Sommaire du match
101	590	New York Islanders	3	Pittsburgh Penguins	2	BL	X	X	Sommaire du match
102	597	Pittsburgh Penguins	3	San Jose Sharks	4	AL			Sommaire du match
106	622	Toronto Maple Leafs	3	Pittsburgh Penguins	2	BL	X	X	Sommaire du match
108	631	Florida Panthers	2	Pittsburgh Penguins	3	BW	X		Sommaire du match
112	653	Colorado Avalanche	2	Pittsburgh Penguins	3	BW			Sommaire du match
113	660	Ottawa Senators	3	Pittsburgh Penguins	4	BW			Sommaire du match
116	676	Detroit Red Wings	2	Pittsburgh Penguins	3	BW	X	X	Sommaire du match
118	688	Montreal Canadiens	1	Pittsburgh Penguins	4	BW			Sommaire du match
120	699	Pittsburgh Penguins	1	Edmonton Oilers	4	AL			Sommaire du match
123	717	Pittsburgh Penguins	2	Minnesota Wild	3	AL			Sommaire du match
125	728	Pittsburgh Penguins	2	Vancouver Canucks	1	AW	X		Sommaire du match
128	742	Boston Bruins	2	Pittsburgh Penguins	3	BW	X	X	Sommaire du match
129	749	Pittsburgh Penguins	3	Tampa Bay Lightning	1	AW			Sommaire du match
134	781	Pittsburgh Penguins	2	Washington Capitals	3	AL	X	X	Sommaire du match
136	797	St-Louis Blues	2	Pittsburgh Penguins	3	BW	X	X	Sommaire du match
137	800	Pittsburgh Penguins	6	Calgary Flames	4	AW			Sommaire du match
139	813	Pittsburgh Penguins	3	Florida Panthers	4	AL	X		Sommaire du match
141	823	Pittsburgh Penguins	1	Anaheim Ducks	4	AL			Sommaire du match
142	833	Pittsburgh Penguins	2	Montreal Canadiens	4	AL			Sommaire du match
144	843	Chicago Blackhawks	2	Pittsburgh Penguins	1	BL			Sommaire du match
147	863	Ottawa Senators	5	Pittsburgh Penguins	6	BW	X	X	Sommaire du match
149	877	Pittsburgh Penguins	2	New Jersey Devils	4	AL			Sommaire du match
152	893	Detroit Red Wings	5	Pittsburgh Penguins	4	BL	X	X	Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154	902	San Jose Sharks	2	Pittsburgh Penguins	6	BW			Sommaire du match
156	920	Pittsburgh Penguins	3	Carolina Hurricanes	4	AL	X	X	Sommaire du match
158	935	Vancouver Canucks	7	Pittsburgh Penguins	6	BL	X	X	Sommaire du match
161	950	Boston Bruins	5	Pittsburgh Penguins	3	BL			Sommaire du match
163	966	Los Angeles Kings	1	Pittsburgh Penguins	4	BW			Sommaire du match
165	973	Winnipeg Jets	5	Pittsburgh Penguins	3	BL			Sommaire du match
167	992	Pittsburgh Penguins	3	Minnesota Wild	1	AW			Sommaire du match
169	1003	Buffalo Sabres	1	Pittsburgh Penguins	2	BW	X		Sommaire du match
172	1026	Pittsburgh Penguins	2	Vegas Golden Knights	1	AW			Sommaire du match
174	1040	New York Rangers	6	Pittsburgh Penguins	5	BL			Sommaire du match
177	1058	Pittsburgh Penguins	5	Edmonton Oilers	4	AW	X		Sommaire du match
178	1067	Toronto Maple Leafs	1	Pittsburgh Penguins	3	BW			Sommaire du match
180	1079	Pittsburgh Penguins	-	Philadelphia Flyers	-
182	1094	Pittsburgh Penguins	-	Tampa Bay Lightning	-
184	1104	Pittsburgh Penguins	-	New York Islanders	-
186	1115	Pittsburgh Penguins	-	Colorado Avalanche	-
187	1122	Dallas Stars	-	Pittsburgh Penguins	-
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	65	30	13	10	145
Assistance	179,099	187,721	188,036	150,314	35,033
Attendance PCT	91.85%	96.27%	96.43%	96.36%	89.83%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
2	18980 - 94.90%	1,004,812$	39,187,682$	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
57,646,056$	58,700,001$	57,500,001$	0$	2,750,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
58,700,001$	56,703,922$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
2,009,625$	11	314,211$	3,456,321$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
3,732,190$	68,164,676$	66,814,611$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
61,450,001$	23,549,999$	85,000,000$	6,450,001$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jori Lehtera	AGE:34	PO:22	OV:78
Michael Dal Colle	AGE:27	PO:62	OV:72
Jan Drozg	AGE:24	PO:53	OV:72
Timo Meier	AGE:26	PO:74	OV:71
Andre Burakovsky	AGE:28	PO:58	OV:71
Phillip Danault	AGE:30	PO:57	OV:71
Evander Kane	AGE:32	PO:39	OV:71
Brett Connolly	AGE:31	PO:46	OV:70
Mathieu Joseph	AGE:26	PO:59	OV:69
Linus Omark	AGE:37	PO:7	OV:68
Arthur Kaliyev (R)	AGE:22	PO:68	OV:67
Lawson Crouse (R)	AGE:27	PO:63	OV:63
Nolan Foote (R)	AGE:22	PO:76	OV:62

Jori Lehtera	AGE:34	PO:22	OV:78
Zach Stepan	AGE:29	PO:45	OV:75
Michael Dal Colle	AGE:27	PO:62	OV:72
Aleksi Heponiemi	AGE:24	PO:62	OV:72
Timo Meier	AGE:26	PO:74	OV:71
Andre Burakovsky	AGE:28	PO:58	OV:71
Phillip Danault	AGE:30	PO:57	OV:71
Quinton Byfield (R)	AGE:21	PO:91	OV:70
Joni Ikonen	AGE:24	PO:63	OV:69
Linus Lindstrom (R)	AGE:25	PO:56	OV:68
Raphael Lavoie (R)	AGE:22	PO:71	OV:66
Kent Johnson (R)	AGE:20	PO:83	OV:65
German Rubtsov	AGE:25	PO:70	OV:64
Benjamin King (R)	AGE:21	PO:64	OV:64
Ryan Kesler	AGE:39	PO:12	OV:63

Mark Stone	AGE:30	PO:29	OV:75
Jan Drozg	AGE:24	PO:53	OV:72
Timo Meier	AGE:26	PO:74	OV:71
Andre Burakovsky	AGE:28	PO:58	OV:71
Brett Connolly	AGE:31	PO:46	OV:70
Joni Ikonen	AGE:24	PO:63	OV:69
Mathieu Joseph	AGE:26	PO:59	OV:69
Arthur Kaliyev (R)	AGE:22	PO:68	OV:67
Raphael Lavoie (R)	AGE:22	PO:71	OV:66
Veeti Miettinen (R)	AGE:21	PO:58	OV:66
Benjamin King (R)	AGE:21	PO:64	OV:64
Tristen Robins (R)	AGE:21	PO:73	OV:63
Brandon Coe (R)	AGE:21	PO:64	OV:63

Défense #1

Défense #2

Gardien

Michael Del Zotto	AGE:33	PO:42	OV:78
Ryan Merkley	AGE:23	PO:73	OV:73
Callan Foote	AGE:24	PO:75	OV:72
Tommy Vannelli	AGE:28	PO:49	OV:71
Pierre-Olivier Joseph	AGE:24	PO:74	OV:70
Jared Cowen	AGE:32	PO:38	OV:70
Nathan McIver	AGE:38	PO:22	OV:70
Bowen Byram (R)	AGE:22	PO:83	OV:69
Ian White	AGE:39	PO:9	OV:69
Jesse Blacker	AGE:32	PO:23	OV:68

Jordan Spence (R)	AGE:22	PO:64	OV:67
Gianni Fairbrother (R)	AGE:23	PO:59	OV:66
Ian McCoshen	AGE:28	PO:50	OV:66
Aaron Ness	AGE:33	PO:36	OV:66
Evan Nause (R)	AGE:20	PO:26	OV:66
Kasper Kotkansalo (R)	AGE:24	PO:61	OV:65
Philip Samuelsson	AGE:32	PO:33	OV:64
Ben Meehan (R)	AGE:22	PO:61	OV:63
Roman Polak	AGE:37	PO:32	OV:63

Mark Visentin	AGE:31	PO:61	OV:74
Charlie Lindgren	AGE:29	PO:43	OV:72
Ethan Haider (R)	AGE:22	PO:64	OV:68
Dylan Garand (R)	AGE:21	PO:73	OV:66
Jakub Dobes (R)	AGE:22	PO:64	OV:63

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
Filip Wiberg	Pittsburgh Penguins	2020	91
Rudger McGroarty	Pittsburgh Penguins	2022	22
Ryan Chesley	Pittsburgh Penguins	2022	28

Choix au repêchage

Année	R1	R2	R3
2024	PIT NYR	PIT	DET PIT
2025	PIT		PIT
2026	PIT	PIT	PIT
2027	PIT	PIT	PIT
2028	PIT	PIT	PIT
Choix au repêchage conditionnel

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

Pittsburgh Penguins Historique de transactions

[2024-03-11 22:41:23] - TRADE : From Pittsburgh Penguins to Buffalo Sabres : Cam Dineen (69).
[2024-03-11 22:41:23] - TRADE : From Buffalo Sabres to Pittsburgh Penguins : Tommy Vannelli (71).
[2024-03-05 23:45:51] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Joni Ikonen (69).
[2024-03-05 23:45:51] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : $250,000 (Salary Cap Year 1).
[2024-03-03 00:34:33] - TRADE : From Pittsburgh Penguins to Detroit Red Wings : Ivan Barbashev (71), Alexander Pashin (64).
[2024-03-03 00:34:33] - TRADE : From Detroit Red Wings to Pittsburgh Penguins : Mark Stone (75).
[2024-02-17 00:38:25] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Linus Omark (68).
[2024-02-17 00:38:25] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Michael Wall (73).
[2024-01-28 19:33:40] - New Record for Team's Most Shots Blocked (27) in 1 Game for Pittsburgh Penguins!
[2024-01-20 20:36:21] - Philip Samuelsson signed with Pittsburgh Penguins for $550,000 for 1 year(s) / Option : No Trade.
[2024-01-20 20:36:21] - Philip Samuelsson was added to Pittsburgh Penguins.
[2024-01-20 20:35:54] - Aaron Ness signed with Pittsburgh Penguins for $550,000 for 1 year(s) / Option : No Trade.
[2024-01-20 20:35:54] - Aaron Ness was added to Pittsburgh Penguins.
[2024-01-01 13:25:28] - TRADE : From Pittsburgh Penguins to New York Rangers : Carter Ashton (71), Y:2024-RND:3-NYR.
[2024-01-01 13:25:28] - TRADE : From New York Rangers to Pittsburgh Penguins : Mathieu Joseph (69).
[2023-12-31 00:11:27] - TRADE : From Pittsburgh Penguins to Montreal Canadiens : Alexandre Carrier (70).
[2023-12-31 00:11:27] - TRADE : From Montreal Canadiens to Pittsburgh Penguins : Pierre-Olivier Joseph (70).
[2023-12-29 12:24:16] - TRADE : From Tampa Bay Lightning to Pittsburgh Penguins : Cam Dineen (69), Ryan Chesley (P).
[2023-12-29 12:24:16] - TRADE : From Pittsburgh Penguins to Tampa Bay Lightning : Brent Burns (78).
[2023-12-27 22:11:43] - TRADE : From Pittsburgh Penguins to Buffalo Sabres : Ryan Getzlaf (83), $3,000,000 (Salary Cap Year 1).
[2023-12-27 22:11:43] - TRADE : From Buffalo Sabres to Pittsburgh Penguins : Michael Dal Colle (72).
[2023-10-30 12:03:07] - TRADE : From Montreal Canadiens to Pittsburgh Penguins : 250 000 $ (Salary Cap).
[2023-10-30 12:03:07] - TRADE : From Pittsburgh Penguins to Montreal Canadiens : Anthony Mantha (71).
[2023-10-30 12:02:18] - TRADE : From San Jose Sharks to Pittsburgh Penguins : 250 000 $ (Salary Cap).
[2023-10-30 12:02:18] - TRADE : From Pittsburgh Penguins to San Jose Sharks : Dylan Gambrell (69).
[2023-10-04 15:57:16] - TRADE : From St-Louis Blues to Pittsburgh Penguins : 200 000 $ (Money).
[2023-10-04 15:57:16] - TRADE : From Pittsburgh Penguins to St-Louis Blues : David Shantz (65).
[2023-09-13 09:08:58] - TRADE : From Vancouver Canucks to Pittsburgh Penguins : Andre Burakovsky (71).
[2023-09-13 09:08:58] - TRADE : From Pittsburgh Penguins to Vancouver Canucks : Y:2025-RND:2-PIT.
[2023-09-09 11:59:45] - TRADE : From Pittsburgh Penguins to Detroit Red Wings : Alexander Gordin (61), Andrew Welinski (64), David Pope (70), K'andre Miller (67), Michal Repik (64), Valeri Nichushkin (56).
[2023-09-09 11:59:45] - TRADE : From Detroit Red Wings to Pittsburgh Penguins : Ian White (69), Y:2024-RND:3-DET.

[2024-04-28 22:23:04] German Rubtsov from Wilkes-Barre/Scranton Penguins is back from Sprained Right Ankle Injury.
[2024-04-27 18:30:33] Pro Game #1067 - Zach Stepan from Pittsburgh Penguins has scored a Hat Trick!
[2024-04-27 12:52:13] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-26 13:44:20] Game 1058 - German Rubtsov from Wilkes-Barre/Scranton Penguins is injured (Sprained Right Ankle) and is out for 1 week.
[2024-04-26 13:36:32] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-24 19:09:42] Raphael Lavoie from Wilkes-Barre/Scranton Penguins is back from Left Forearm Injury.
[2024-04-23 21:20:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-21 21:32:53] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-18 22:50:39] Jan Drozg from Pittsburgh Penguins is back from Left Hand Injury.
[2024-04-18 22:50:38] Game 1003 - Jan Drozg from Pittsburgh Penguins is injured (Left Hand) and is out for 2 days.
[2024-04-18 22:47:19] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-17 00:17:42] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-14 21:41:26] Tristen Robins from Wilkes-Barre/Scranton Penguins is back from Lacerated Left Calf Injury.
[2024-04-14 21:38:42] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-12 23:11:45] Game 966 - Raphael Lavoie from Wilkes-Barre/Scranton Penguins is injured (Left Forearm) and is out for 2 weeks.
[2024-04-12 22:57:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-10 23:25:54] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-09 22:20:29] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-04-07 00:05:22] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0

Pas de blessure ou de suspension.

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

	Pittsburgh Penguins
	GP: 76 \| W: 37 \| L: 26 \| OTL: 13 \| P: 87 GF: 236 \| GA: 224 \| PP%: 11.79% \| PK%: 85.19% DG: Martin Coulombe \| Morale : 99 \| Moyenne d’équipe : 72 #1079 vs Philadelphia Flyers