Connexion

Charlotte Checkers
GP: 77 | W: 54 | L: 19 | OTL: 4 | P: 112
GF: 318 | GA: 263 | PP%: 20.61% | PK%: 81.37%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #1085 vs Laval Rocket
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Centre de jeu
Rockford IceHogs
34-38-5, 73pts
4
FINAL
5 Charlotte Checkers
54-19-4, 112pts
Team Stats
OTL1SéquenceW5
19-19-2Fiche domicile30-8-1
15-19-3Fiche domicile24-11-3
4-5-1Derniers 10 matchs7-3-0
3.60Buts par match 4.13
4.04Buts contre par match 3.42
22.63%Pourcentage en avantage numérique20.61%
81.85%Pourcentage en désavantage numérique81.37%
Hartford Wolfpack
37-31-9, 83pts
2
FINAL
4 Charlotte Checkers
54-19-4, 112pts
Team Stats
L1SéquenceW5
18-14-5Fiche domicile30-8-1
19-17-4Fiche domicile24-11-3
7-3-0Derniers 10 matchs7-3-0
3.79Buts par match 4.13
3.77Buts contre par match 3.42
19.80%Pourcentage en avantage numérique20.61%
77.07%Pourcentage en désavantage numérique81.37%
Laval Rocket
33-39-3, 69pts
Jour 181
Charlotte Checkers
54-19-4, 112pts
Statistiques d’équipe
W1SéquenceW5
19-16-2Fiche domicile30-8-1
14-23-1Fiche visiteur24-11-3
3-6-110 derniers matchs7-3-0
3.47Buts par match 4.13
3.91Buts contre par match 4.13
16.58%Pourcentage en avantage numérique20.61%
76.69%Pourcentage en désavantage numérique81.37%
Charlotte Checkers
54-19-4, 112pts
Jour 184
Belleville Senators
35-33-8, 78pts
Statistiques d’équipe
W5SéquenceW2
30-8-1Fiche domicile20-13-3
24-11-3Fiche visiteur15-20-5
7-3-010 derniers matchs6-3-1
4.13Buts par match 3.57
3.42Buts contre par match 3.57
20.61%Pourcentage en avantage numérique15.88%
81.37%Pourcentage en désavantage numérique77.73%
Charlotte Checkers
54-19-4, 112pts
Jour 186
Manitoba Moose
41-33-2, 84pts
Statistiques d’équipe
W5SéquenceL3
30-8-1Fiche domicile19-19-1
24-11-3Fiche visiteur22-14-1
7-3-010 derniers matchs4-6-0
4.13Buts par match 3.21
3.42Buts contre par match 3.21
20.61%Pourcentage en avantage numérique17.28%
81.37%Pourcentage en désavantage numérique79.41%
Meneurs d'équipe
Buts
Sam Colangelo
52
Passes
Dalibor Dvorsky
56
Points
Sam Colangelo
93
Plus/Moins
Roman Schmidt
18
Victoires
Jesper Wallstedt
32
Pourcentage d’arrêts
Jesper Wallstedt
0.917

Statistiques d’équipe
Buts pour
318
4.13 GFG
Tirs pour
3048
39.58 Avg
Pourcentage en avantage numérique
20.6%
47 GF
Début de zone offensive
39.3%
Buts contre
263
3.42 GAA
Tirs contre
3019
39.21 Avg
Pourcentage en désavantage numérique
81.4%%
38 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralJean Jodoin
EntraîneurBruce Boudreau
DivisionEastern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance9,439
Billets de saison4,000


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 75
Espoirs3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Mavrik Bourque (R)X100.007334768072808084757674727360738099710211925,000$
2Blake ColemanXXX100.005423898877838375887172546567683899680301750,000$
3Robbie EarlXXX98.004327958775797973787273596684842999680381750,000$
4Sam Colangelo (R)XX96.0073337982797174797769746973343968996702131,100,000$
5Frank Nazar (R)XX97.007231817072808078817173727336437999670192925,000$
6Samu Salminen (R)XX98.007233777075737373797272687250526699650202925,000$
7Chaz Lucius (R)X100.006528767072686872816775717442498099640202925,000$
8Ben Jones (R)X100.006332807375707569806767616859615199640242500,001$
9Matthew Strome (R)X100.006834787080717366536366666864666199640242500,001$
10Martin Chromniak (R)XX100.006836746974656578537170627063505999640213650,000$
11Sasha Pastujov (R)XX100.006934746972656578567371657155506999640203650,000$
12Leevi Aaltonen (R)XX100.006429756768646467546466626955535799600222500,000$
13Anton Johannesson (R)X100.007028787067777783567575687352566399680212925,000$
14David FischerX100.00774177787872755054484673509099309967N0353600,000$
15Dmitri Simashev (R)X100.007541797679737359637066796636389199670183925,000$
16Justin Barron (R)X100.007439736877747660526358746047587399660213850,000$
17Mattias Havelid (R)X97.006831777070757567616972727252667599660192925,000$
18Vyacheslav VojnovX100.005320877874768041544041745093993299650331750,000$
19Roman Schmidt (R)X99.008044667280707257506464736337426599650201500,000$
20Hugo Gabrielson (R)X100.006531796770797969526866626741535799630202650,000$
Rayé
1Dalibor Dvorsky (R)X86.347341777279686883797974727456619199690183925,000$
2Danila Yurov (R)X66.687431797074808081627373707342437999670192925,000$
3Boris ValabikX100.007084308884626829483129764095953099640371600,000$
MOYENNE D’ÉQUIPE97.26683576747573746865666668675761629966
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Kevin Lalande97.0075807576857272828274759189299966N0373750,000$
2Sergei Mursahov (R)100.00808376728385858383808337427299630192650,000$
Rayé
1Jesper Wallstedt (R)100.00807984878487878787798263558399670201925,000$
MOYENNE D’ÉQUIPE99.0078817878848181848478806462619965
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau80749195929283CAN665250,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Sam ColangeloCharlotte Checkers (FLO)C/RW775241931616011010932810518115.85%50145018.84910193818010141385446.15%2737234021.2800000973
2Dalibor DvorskyCharlotte Checkers (FLO)C7229568510200107992859417610.18%40137519.10710172916901151378348.93%16293440111.2423000554
3Mavrik BourqueCharlotte Checkers (FLO)C76384583-22401101062849518113.38%36126916.7081321341641011197348.44%13485923201.3102000655
4Blake ColemanCharlotte Checkers (FLO)C/LW/RW72214465-9405063256881648.20%28118116.412571593000025148.84%865717101.1000000222
5Frank NazarCharlotte Checkers (FLO)C/RW7723325513805740240651319.58%2597712.7021310400003383051.72%582715001.1200000312
6Danila YurovCharlotte Checkers (FLO)RW75192948920084741645410411.59%2593312.4400000000002144.44%452521001.0300000213
7Samu SalminenCharlotte Checkers (FLO)C/LW77143044102601177715048959.33%47144818.813582318000041340247.64%2333124000.6101000125
8Chaz LuciusCharlotte Checkers (FLO)C641720377140756017255899.88%2283313.023361484000022447.67%6003615000.8912000134
9Sasha PastujovCharlotte Checkers (FLO)LW/RW69191837-3606839132519114.39%2784412.24538161180001293150.00%40269000.8800000302
10Martin ChromniakCharlotte Checkers (FLO)LW/RW7715203517220593815334939.80%217269.4400000000004144.12%341618000.9600000033
11Anton JohannessonCharlotte Checkers (FLO)D74627331220517113248644.55%93140418.9835825190000024010%02851000.4712000003
12Matthew StromeCharlotte Checkers (FLO)LW77161632161406263115346813.91%27106213.79145101110001515240.40%991531000.6000000021
13Mattias HavelidCharlotte Checkers (FLO)D776243017260641028651436.98%95153219.91426151810002150100%02349000.3900000003
14Robbie EarlCharlotte Checkers (FLO)C/LW/RW68161329200721121437413.22%135217.670001210000172055.97%134237001.1101000302
15Ben JonesCharlotte Checkers (FLO)C77917261740414883275810.84%177349.5400000000001149.69%4871212000.7100000113
16David FischerCharlotte Checkers (FLO)D73221231626073745937393.39%78136918.7624610172000086010%0455000.3400000010
17Dmitri SimashevCharlotte Checkers (FLO)D76019191231554657236190%56109114.3603313185000163000%0435000.3500100001
18Roman SchmidtCharlotte Checkers (FLO)D75413171848086765627347.14%100122216.30000000001140210%01055000.2801000000
19Justin BarronCharlotte Checkers (FLO)D77114151232048574215222.38%6695412.400001110001151000%0239000.3101000000
20Vyacheslav VojnovCharlotte Checkers (FLO)D770151526015514116270%7793012.0800000000047000%0427000.3201000000
21Hugo GabrielsonCharlotte Checkers (FLO)D77246-322024262511118.00%4577510.071011000005000%0226000.1500000000
22Leevi AaltonenCharlotte Checkers (FLO)LW/RW21022140336110%3673.24000040110100042.86%722000.5900000000
23Boris ValabikCharlotte Checkers (FLO)D3101210043101100.00%45016.780000000000000%001000.4000000000
Statistiques d’équipe totales ou en moyenne158831052083018140551369136530031035176610.32%9952275814.3350681182551912224241252502648.49%5073512606430.73414100363346
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jesper WallstedtCharlotte Checkers (FLO)48321330.9173.302857001571890880411.00064851071
2Kevin LalandeCharlotte Checkers (FLO)1912510.9043.7011020068709379200.50021849310
3Sergei MursahovCharlotte Checkers (FLO)1210100.9143.13691003641919030001123010
Statistiques d’équipe totales ou en moyenne79541940.9143.374651002613018144991877771391


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anton JohannessonCharlotte Checkers (FLO)D211993-06-23 04:21:47Yes156 Lbs5 ft10NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Ben JonesCharlotte Checkers (FLO)C241990-10-04 05:36:20Yes201 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,001$28,947$0$0$No500,001$--------No--------
Blake ColemanCharlotte Checkers (FLO)C/LW/RW301984-11-28 05:53:21No215 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$43,421$0$0$No------------------
Boris ValabikCharlotte Checkers (FLO)D371977-08-06 20:38:02No239 Lbs6 ft5NoNoN/ANoNo1Pro & Farm600,000$34,737$0$0$No------------------
Chaz LuciusCharlotte Checkers (FLO)C201994-08-20 05:00:35Yes177 Lbs6 ft2NoNoTrade2024-01-21NoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Dalibor Dvorsky (sur la masse salariale)Charlotte Checkers (FLO)C181996-08-19 12:13:39Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$53,553$0$0$Yes925,000$925,000$-------NoNo-------
Danila Yurov (sur la masse salariale)Charlotte Checkers (FLO)RW191995-09-01 05:11:47Yes183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$Yes925,000$--------No--------
David FischerCharlotte Checkers (FLO)D351979-09-19 10:13:25No208 Lbs6 ft4YesNoN/ANoNo3Pro & Farm600,000$34,737$0$0$No600,000$600,000$-------YesYes-------
Dmitri SimashevCharlotte Checkers (FLO)D181996-08-19 12:14:43Yes201 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$53,553$0$0$No925,000$925,000$-------NoNo-------
Frank NazarCharlotte Checkers (FLO)C/RW191995-09-01 05:13:39Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Hugo GabrielsonCharlotte Checkers (FLO)D201994-06-23 03:46:57Yes173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$37,632$0$0$No650,000$--------No--------
Jesper WallstedtCharlotte Checkers (FLO)G201994-09-19 18:41:10Yes217 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$53,553$0$0$No------------------
Justin BarronCharlotte Checkers (FLO)D211993-08-31 22:05:44Yes195 Lbs6 ft5NoNoN/ANoNo3Pro & Farm850,000$49,211$0$0$No850,000$850,000$-------NoNo-------
Kevin LalandeCharlotte Checkers (FLO)G371977-10-20 10:01:29No180 Lbs5 ft11YesNoN/ANoNo3Pro & Farm750,000$43,421$0$0$No750,000$750,000$-------YesYes-------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW221992-06-23 04:13:57Yes177 Lbs5 ft9NoNoN/ANoNo2Pro & Farm500,000$28,947$0$0$No500,000$--------No--------
Martin ChromniakCharlotte Checkers (FLO)LW/RW211993-06-18 03:59:00Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm650,000$37,632$0$0$No650,000$650,000$-------NoNo-------
Matthew StromeCharlotte Checkers (FLO)LW241990-10-04 05:51:19Yes217 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,001$28,947$0$0$No500,001$--------No--------
Mattias HavelidCharlotte Checkers (FLO)D191995-09-01 05:15:31Yes174 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Mavrik BourqueCharlotte Checkers (FLO)C211993-08-29 07:57:17Yes191 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$53,553$0$0$No------------------
Robbie EarlCharlotte Checkers (FLO)C/LW/RW381976-08-06 14:38:02No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$43,421$0$0$No------------------
Roman SchmidtCharlotte Checkers (FLO)D201994-09-19 18:16:07Yes213 Lbs6 ft7NoNoN/ANoNo1Pro & Farm500,000$28,947$0$0$No------------------
Sam ColangeloCharlotte Checkers (FLO)C/RW211993-08-31 21:05:18Yes217 Lbs6 ft4NoNoN/ANoNo3Pro & Farm1,100,000$63,684$0$0$No1,100,000$1,100,000$-------NoNo-------
Samu SalminenCharlotte Checkers (FLO)C/LW201994-06-23 03:54:05Yes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Sasha PastujovCharlotte Checkers (FLO)LW/RW201994-09-13 10:30:12Yes187 Lbs6 ft1NoNoTrade2024-01-21NoNo3Pro & Farm650,000$37,632$0$0$No650,000$650,000$-------NoNo-------
Sergei MursahovCharlotte Checkers (FLO)G191995-09-01 05:17:06Yes170 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$37,632$0$0$No650,000$--------No--------
Vyacheslav VojnovCharlotte Checkers (FLO)D331981-10-05 16:08:49No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$43,421$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.73195 Lbs6 ft22.04769,231$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake ColemanMavrik Bourque30122
2Samu SalminenRobbie EarlSam Colangelo30122
3Matthew StromeChaz LuciusFrank Nazar20122
4Martin ChromniakBen JonesRobbie Earl20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonRoman Schmidt30122
2David FischerMattias Havelid30122
3Justin BarronDmitri Simashev20122
4Vyacheslav VojnovHugo Gabrielson20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Frank NazarMatthew StromeChaz Lucius50122
2Samu SalminenMavrik BourqueSam Colangelo50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonDmitri Simashev50122
2David FischerMattias Havelid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloMatthew Strome50122
2Samu SalminenFrank Nazar50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronRoman Schmidt50122
2Dmitri SimashevMattias Havelid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo50122Justin BarronDmitri Simashev50122
2Chaz Lucius50122Hugo GabrielsonMattias Havelid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloFrank Nazar50122
2Samu SalminenMartin Chromniak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronDmitri Simashev50122
2Roman SchmidtMattias Havelid50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenMavrik BourqueSam ColangeloAnton JohannessonMattias Havelid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenMavrik BourqueSam ColangeloRoman SchmidtMattias Havelid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Robbie Earl, Ben Jones, Matthew StromeSamu Salminen, Leevi AaltonenMatthew Strome
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Barron, Vyacheslav Vojnov, Mattias HavelidJustin BarronVyacheslav Vojnov, Mattias Havelid
Tirs de pénalité
Samu Salminen, Robbie Earl, Chaz Lucius, Sam Colangelo, Frank Nazar
Gardien
#1 : Kevin Lalande, #2 : Sergei Mursahov
Lignes d’attaque personnalisées en prolongation
Robbie Earl, Mavrik Bourque, Ben Jones, Chaz Lucius, Martin Chromniak, Sam Colangelo, Sam Colangelo, Frank Nazar, , Matthew Strome, Samu Salminen
Lignes de défense personnalisées en prolongation
Hugo Gabrielson, Roman Schmidt, Anton Johannesson, Mattias Havelid, Justin Barron


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Abbotsford's Canucks3110100011101211000008801000100032140.667111930001011099513122105910219453011326145313215.38%70100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
2Bakersfield Condors31200000714-72110000036-31010000048-420.3337132000101109951310910591021945301293824651218.33%13284.62%0987211346.71%997201949.38%623123850.32%1693100116186811343674
3Belleville Senators2020000069-31010000045-11010000024-200.000611170010110995137810591021945308229831200.00%40100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
4Bridgeport's Islanders31100010910-12010001068-21100000032140.667914230010110995131201059102194530125401848500.00%9188.89%0987211346.71%997201949.38%623123850.32%1693100116186811343674
5Calgary Wranglers31200000917-81100000043120200000514-920.3339142300101109951313510591021945309636126310220.00%6433.33%0987211346.71%997201949.38%623123850.32%1693100116186811343674
6Chicago Wolves330000001477110000007432200000073461.00014223600101109951311310591021945301072514594125.00%8187.50%0987211346.71%997201949.38%623123850.32%1693100116186811343674
7Colorado Eagles321000001112-11100000052321100000610-440.66711172800101109951312910591021945301254814589222.22%7357.14%0987211346.71%997201949.38%623123850.32%1693100116186811343674
8Grand Rapids Griffins330000002010101100000082622000000128461.0002035550010110995131111059102194530843920587571.43%110100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
9Hartford Wolfpack31002000151142100100010731000100054161.00015254000101109951311210591021945301434518399444.44%9277.78%1987211346.71%997201949.38%623123850.32%1693100116186811343674
10Henderson Silver Knights321000001293110000003122110000098140.66712193100101109951310510591021945301244512428337.50%6183.33%0987211346.71%997201949.38%623123850.32%1693100116186811343674
11Hershey Bears301010101114-320100010711-41000100043140.667111627001011099513132105910219453012936225910110.00%11463.64%0987211346.71%997201949.38%623123850.32%1693100116186811343674
12Iowa Wild312000001015-51100000043120200000612-620.333101626001011099513109105910219453012949166011327.27%8362.50%0987211346.71%997201949.38%623123850.32%1693100116186811343674
13Laval Rocket21100000660110000003211010000034-120.500610160010110995137710591021945308533642500.00%30100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
14Lehigh Valley Phantoms330000001275220000008441100000043161.00012223400101109951312210591021945301203714549111.11%7271.43%0987211346.71%997201949.38%623123850.32%1693100116186811343674
15Manitoba Moose22000000734110000004221100000031241.0007132000101109951380105910219453089271035300.00%5180.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
16Ontario Reign31200000914-520200000411-71100000053220.3339132200101109951311710591021945301023420598225.00%10190.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
17Providence Bruins311010001174110000005142010100066040.66711213200101109951311810591021945301134518551000.00%8187.50%0987211346.71%997201949.38%623123850.32%1693100116186811343674
18Rochester Americans31001001151141000100032121000001129350.833152540001011099513121105910219453011324145012216.67%70100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
19Rockford IceHogs310011001512320001100101001100000052350.833152439001011099513118105910219453090311958600.00%7185.71%0987211346.71%997201949.38%623123850.32%1693100116186811343674
20San Diego Gulls 3300000016610110000008262200000084461.00016244000101109951312010591021945301293216559222.22%80100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
21San Jose Barracuda330000001688110000007342200000095461.00016264200101109951313210591021945301254412399222.22%60100.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
22Springfield Thunderbirds3200100015872200000011561000100043161.00015264100101109951312110591021945301204124538337.50%12375.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
23Syracuse Crunch3110010013130211000009811000010045-130.50013223510101109951311010591021945301194312669222.22%6183.33%0987211346.71%997201949.38%623123850.32%1693100116186811343674
24Texas Stars3210000015872200000014591010000013-240.667152641001011099513117105910219453011747124611218.18%6183.33%0987211346.71%997201949.38%623123850.32%1693100116186811343674
25Toronto Marlies21001000633110000003121000100032141.00061016001011099513731059102194530871910388225.00%5180.00%0987211346.71%997201949.38%623123850.32%1693100116186811343674
26Utica Comets31002000141041000100032121001000118361.00014253900101109951312810591021945301233014479333.33%7271.43%0987211346.71%997201949.38%623123850.32%1693100116186811343674
27Wilkes-Barre/Scranton Penguins320001001394220000008351000010056-150.833131831001011099513119105910219453010148166012216.67%8362.50%1987211346.71%997201949.38%623123850.32%1693100116186811343674
Total774119011321318263553924804120169121483817110720114914271120.72731852684410101109951330481059102194530301999140913922284720.61%2043881.37%2987211346.71%997201949.38%623123850.32%1693100116186811343674
_Since Last GM Reset774119011321318263553924804120169121483817110720114914271120.72731852684410101109951330481059102194530301999140913922284720.61%2043881.37%2987211346.71%997201949.38%623123850.32%1693100116186811343674
_Vs Conference774119011321318263553924804120169121483817110720114914271120.72731852684410101109951330481059102194530301999140913922284720.61%2043881.37%2987211346.71%997201949.38%623123850.32%1693100116186811343674
_Vs Division391670812116512738209403020846024197305101816714540.6921652764411010110995131534105910219453015314932047061112320.72%1031882.52%2987211346.71%997201949.38%623123850.32%1693100116186811343674

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
77112W531852684430483019991409139210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
77411911321318263
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
392484120169121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3817117201149142
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2284720.61%2043881.37%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
10591021945301011099513
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
987211346.71%997201949.38%623123850.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1693100116186811343674


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
11Charlotte Checkers2Providence Bruins3ALSommaire du match
215Texas Stars2Charlotte Checkers9BWSommaire du match
534Hartford Wolfpack5Charlotte Checkers6BWXSommaire du match
747Belleville Senators5Charlotte Checkers4BLSommaire du match
852Charlotte Checkers7Rochester Americans8ALXXSommaire du match
1169Chicago Wolves4Charlotte Checkers7BWSommaire du match
1274Charlotte Checkers3Laval Rocket4ALSommaire du match
1491Charlotte Checkers4Hershey Bears3AWXSommaire du match
17102San Diego Gulls 2Charlotte Checkers8BWSommaire du match
23134Charlotte Checkers3Calgary Wranglers9ALSommaire du match
25150Charlotte Checkers4Bakersfield Condors8ALSommaire du match
27161Charlotte Checkers2Iowa Wild7ALSommaire du match
30179Grand Rapids Griffins2Charlotte Checkers8BWSommaire du match
32190Ontario Reign6Charlotte Checkers2BLSommaire du match
34197Toronto Marlies1Charlotte Checkers3BWSommaire du match
36214Charlotte Checkers5Rockford IceHogs2AWSommaire du match
38226Charlotte Checkers5Utica Comets3AWSommaire du match
39233Bridgeport's Islanders6Charlotte Checkers3BLSommaire du match
43256Abbotsford's Canucks4Charlotte Checkers2BLSommaire du match
45265Charlotte Checkers4Colorado Eagles3AWSommaire du match
46274Charlotte Checkers4Springfield Thunderbirds3AWXSommaire du match
50298Henderson Silver Knights1Charlotte Checkers3BWSommaire du match
52307Colorado Eagles2Charlotte Checkers5BWSommaire du match
55324Rockford IceHogs6Charlotte Checkers5BLXSommaire du match
57339Charlotte Checkers4Lehigh Valley Phantoms3AWSommaire du match
59348Charlotte Checkers4Syracuse Crunch5ALXSommaire du match
60356Charlotte Checkers4San Diego Gulls 3AWSommaire du match
63374Wilkes-Barre/Scranton Penguins1Charlotte Checkers3BWSommaire du match
64378Hershey Bears3Charlotte Checkers4BWXXSommaire du match
66389Charlotte Checkers1Texas Stars3ALSommaire du match
69406Laval Rocket2Charlotte Checkers3BWSommaire du match
70409Utica Comets2Charlotte Checkers3BWXSommaire du match
73429San Jose Barracuda3Charlotte Checkers7BWSommaire du match
76445Charlotte Checkers2Belleville Senators4ALSommaire du match
77452Charlotte Checkers3Manitoba Moose1AWSommaire du match
79466Rochester Americans2Charlotte Checkers3BWXSommaire du match
83487Iowa Wild3Charlotte Checkers4BWSommaire du match
86507Charlotte Checkers6Grand Rapids Griffins3AWSommaire du match
89522Charlotte Checkers3Bridgeport's Islanders2AWSommaire du match
92538Charlotte Checkers3Abbotsford's Canucks2AWXSommaire du match
94549Springfield Thunderbirds2Charlotte Checkers5BWSommaire du match
97569Charlotte Checkers5Ontario Reign3AWSommaire du match
100585Charlotte Checkers5Hartford Wolfpack4AWXSommaire du match
103605Charlotte Checkers4Chicago Wolves1AWSommaire du match
105617Bakersfield Condors5Charlotte Checkers1BLSommaire du match
108631Charlotte Checkers5Wilkes-Barre/Scranton Penguins6ALXSommaire du match
111651Charlotte Checkers3Toronto Marlies2AWXSommaire du match
113658Charlotte Checkers3San Jose Barracuda1AWSommaire du match
115672Manitoba Moose2Charlotte Checkers4BWSommaire du match
117686Calgary Wranglers3Charlotte Checkers4BWSommaire du match
119697Charlotte Checkers6Henderson Silver Knights4AWSommaire du match
123721Providence Bruins1Charlotte Checkers5BWSommaire du match
125730Syracuse Crunch5Charlotte Checkers3BLSommaire du match
128748Lehigh Valley Phantoms2Charlotte Checkers4BWSommaire du match
131757Charlotte Checkers4San Diego Gulls 1AWSommaire du match
133772Charlotte Checkers4Providence Bruins3AWXSommaire du match
135787Syracuse Crunch3Charlotte Checkers6BWSommaire du match
136793Lehigh Valley Phantoms2Charlotte Checkers4BWSommaire du match
139813Wilkes-Barre/Scranton Penguins2Charlotte Checkers5BWSommaire du match
141825Charlotte Checkers2Colorado Eagles7ALSommaire du match
144844Texas Stars3Charlotte Checkers5BWSommaire du match
147861Ontario Reign5Charlotte Checkers2BLSommaire du match
149875Charlotte Checkers6San Jose Barracuda4AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Charlotte Checkers2Calgary Wranglers5ALSommaire du match
155913Springfield Thunderbirds3Charlotte Checkers6BWSommaire du match
159939Charlotte Checkers5Rochester Americans1AWSommaire du match
161952Charlotte Checkers6Utica Comets5AWXSommaire du match
163968Hershey Bears8Charlotte Checkers3BLSommaire du match
165979Charlotte Checkers4Iowa Wild5ALSommaire du match
167991Bridgeport's Islanders2Charlotte Checkers3BWXXSommaire du match
1691005Bakersfield Condors1Charlotte Checkers2BWSommaire du match
1701011Charlotte Checkers3Henderson Silver Knights4ALSommaire du match
1721022Charlotte Checkers3Chicago Wolves2AWSommaire du match
1741039Abbotsford's Canucks4Charlotte Checkers6BWSommaire du match
1761052Charlotte Checkers6Grand Rapids Griffins5AWSommaire du match
1771056Rockford IceHogs4Charlotte Checkers5BWXSommaire du match
1791071Hartford Wolfpack2Charlotte Checkers4BWSommaire du match
1811085Laval Rocket-Charlotte Checkers-
1841102Charlotte Checkers-Belleville Senators-
1861112Charlotte Checkers-Manitoba Moose-
1871125Charlotte Checkers-Toronto Marlies-
1901142Grand Rapids Griffins-Charlotte Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3515
Assistance173,360194,746
Assistance PCT88.90%99.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 9439 - 94.39% 343,418$13,393,299$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,027,408$ 3,630,000$ 3,545,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,791,897$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
686,836$ 11 20,421$ 224,631$




Charlotte Checkers Leaders statistiques des joueurs (saison régulière)

# 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

Charlotte Checkers Leaders des statistiques des gardiens (saison régulière)

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

Charlotte Checkers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Charlotte Checkers Leaders statistiques des joueurs (séries éliminatoires)

# 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

Charlotte Checkers Leaders des statistiques des gardiens (séries éliminatoires)

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