Connexion

Charlotte Checkers
GP: 33 | W: 16 | L: 12 | OTL: 5 | P: 37
GF: 112 | GA: 100 | PP%: 15.69% | PK%: 81.37%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #450 vs Hartford Wolfpack
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Centre de jeu
Charlotte Checkers
16-12-5, 37pts
3
FINAL
4 Colorado Eagles
15-13-4, 34pts
Team Stats
SOL1SéquenceL1
9-5-2Fiche domicile10-8-1
7-7-3Fiche domicile5-5-3
4-3-3Derniers 10 matchs4-5-1
3.39Buts par match 3.53
3.03Buts contre par match 3.78
15.69%Pourcentage en avantage numérique27.96%
81.37%Pourcentage en désavantage numérique77.45%
Charlotte Checkers
16-12-5, 37pts
4
FINAL
5 Henderson Silver Knights
17-14-2, 36pts
Team Stats
SOL1SéquenceW4
9-5-2Fiche domicile7-8-0
7-7-3Fiche domicile10-6-2
4-3-3Derniers 10 matchs7-3-0
3.39Buts par match 3.21
3.03Buts contre par match 3.24
15.69%Pourcentage en avantage numérique16.95%
81.37%Pourcentage en désavantage numérique77.14%
Hartford Wolfpack
16-15-1, 33pts
Jour 77
Charlotte Checkers
16-12-5, 37pts
Statistiques d’équipe
W2SéquenceSOL1
8-7-1Fiche domicile9-5-2
8-8-0Fiche visiteur7-7-3
7-2-110 derniers matchs4-3-3
3.59Buts par match 3.39
3.25Buts contre par match 3.39
21.05%Pourcentage en avantage numérique15.69%
71.84%Pourcentage en désavantage numérique81.37%
Charlotte Checkers
16-12-5, 37pts
Jour 79
Abbotsford's Canucks
21-9-1, 43pts
Statistiques d’équipe
SOL1SéquenceW5
9-5-2Fiche domicile12-2-0
7-7-3Fiche visiteur9-7-1
4-3-310 derniers matchs8-2-0
3.39Buts par match 3.55
3.03Buts contre par match 3.55
15.69%Pourcentage en avantage numérique12.79%
81.37%Pourcentage en désavantage numérique82.46%
Grand Rapids Griffins
16-12-3, 35pts
Jour 81
Charlotte Checkers
16-12-5, 37pts
Statistiques d’équipe
SOL1SéquenceSOL1
7-8-2Fiche domicile9-5-2
9-4-1Fiche visiteur7-7-3
5-4-110 derniers matchs4-3-3
3.00Buts par match 3.39
2.97Buts contre par match 3.39
26.53%Pourcentage en avantage numérique15.69%
74.51%Pourcentage en désavantage numérique81.37%
Meneurs d'équipe
Buts
Dalibor Dvorsky
16
Passes
Dalibor Dvorsky
19
Points
Dalibor Dvorsky
35
Plus/Moins
Jack Peart
11
Victoires
Jesper Wallstedt
16
Pourcentage d’arrêts
Jesper Wallstedt
0.93

Statistiques d’équipe
Buts pour
112
3.39 GFG
Tirs pour
1226
37.15 Avg
Pourcentage en avantage numérique
15.7%
16 GF
Début de zone offensive
38.0%
Buts contre
100
3.03 GAA
Tirs contre
1296
39.27 Avg
Pourcentage en désavantage numérique
81.4%%
19 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralJean Jodoin
EntraîneurBruce Boudreau
DivisionEastern
ConférenceConference 1
CapitaineMarek Alscher
Assistant #1Dalibor Dvorsky
Assistant #2Sasha Pastujov


Informations de l’aréna

Capacité10,000
Assistance10,000
Billets de saison4,000


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 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
1Dalibor Dvorsky (R) (A)X99.007442768076707085818176737459648899710192925,000$
2Konsta Helenius (R)XX100.007131738475666683797872717249408299680183925,000$
3Samu Salminen (R)XX100.007435757876757573817272697251536599670211925,000$
4Michael Hage (R)X100.007433758277737381797474717429338199670183925,000$
5Chaz Lucius (R)X100.006528767874707073836876727444517899670211925,000$
6Maxim Beryozkin (R)XX100.007037797578797976527071667051545999660221500,000$
7Sasha Pastujov (R) (A)XX100.006732767774676779567472657157526799660212650,000$
8Matthew Maggio (R)X100.006934787772777778527171647143666299660212500,000$
9Matthew StromeX100.006834787881737566536366676866685999650251500,001$
10Caedan BankierX100.00683672777469697074696965695057649964N02131,499,999$
11Francesco ArcuriX100.00713872727669697571687061704444549963N02131,499,999$
12Albert SjobergXXX100.00683470757263636870667260725845549962N02031,499,999$
13Samuel HeleniusX100.00744072677871715675636774674640709962N02131,499,999$
14Dmitri Simashev (R)X100.007844768478757560637167806639418899690192925,000$
15Marek Alscher (R) (C)X99.007633777277777759597069766961526999680203925,000$
16Ryan Chesley (R)X100.007835817279737359617069786951667799680203925,000$
17E.J. Emery (R)X100.007531777675808057637066796637468199680183925,000$
18Mattias Havelid (R)X100.007033777871777768617073747255697299680201925,000$
19Noel Fransen (R)X100.007231797475737373597273677343616999670183925,000$
20David FischerX100.007943757678707351544947745093992799670362600,000$
21Boris ValabikX100.00698331868460663148333076409898279964N0382600,000$
22Jack PeartX100.00703472727266666258686370634449759963N02031,499,999$
Rayé
1Sam Colangelo (R)XX98.6873337985807376817971767173364166996802221,100,000$
2Leevi Aaltonen (R)XX100.006227777569666665546264626957555599610231500,000$
MOYENNE D’ÉQUIPE99.83713774777671726865686870685356669966
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
1Jesper Wallstedt (R)100.008082848787909090907982655781996902121,300,000$
2Kevin Lalande100.00737873768372728282747593912499660382750,000$
3Sergei Mursahov (R)100.00808679758687878585808339447099650201650,000$
Rayé
MOYENNE D’ÉQUIPE100.0078827979858383868678806664589967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau76799693969679CAN684250,000$


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
1Dalibor DvorskyCharlotte Checkers (FLO)C3316193541403855101307715.84%1258817.8354911841125863052.44%7383112011.1912000311
2Konsta HeleniusCharlotte Checkers (FLO)C/RW3311162721604243130301048.46%1453616.2614517821122353050.37%5422618001.0102000101
3Sam ColangeloCharlotte Checkers (FLO)C/RW308152386036238429579.52%1645415.1711214710111320031.82%22149001.0100000004
4Michael HageCharlotte Checkers (FLO)C33101323380303910836589.26%1542612.94112415000000048.45%388363001.0800000211
5Sasha PastujovCharlotte Checkers (FLO)LW/RW33914236120302473174412.33%1248614.741451783101261056.00%2586000.9500000111
6Samu SalminenCharlotte Checkers (FLO)C/LW3371522-218035287123599.86%1453116.092356830112230030.30%331910000.8300000021
7Samuel HeleniusCharlotte Checkers (FLO)C3378155100313334122320.59%1245413.78000001012372051.52%33107000.6600000031
8Matthew MaggioCharlotte Checkers (FLO)RW33781552024269636507.29%1140712.3600000000001129.17%24168000.7400000210
9Maxim BeryozkinCharlotte Checkers (FLO)LW/RW347512-6100492810629526.60%1051215.080004450003411039.13%46207000.4700000110
10Francesco ArcuriCharlotte Checkers (FLO)C3365116140371647163812.77%1541412.5600001000002076.19%21711000.5300000011
11E.J. EmeryCharlotte Checkers (FLO)D33110117602731271483.70%3054016.38022472011160000%0723000.4100000000
12Chaz LuciusCharlotte Checkers (FLO)C33561106021306824527.35%1741712.6601109000001047.57%103157000.5301000001
13Dmitri SimashevCharlotte Checkers (FLO)D331910112026302610133.85%3660718.41112287022191000%0717000.3300000000
14Marek AlscherCharlotte Checkers (FLO)D33257410030293513175.71%3360718.42011587101193000%0624000.2301000001
15Albert SjobergCharlotte Checkers (FLO)C/LW/RW1215646018102913183.45%214211.8700000000200070.00%1082000.8400000001
16Jack PeartCharlotte Checkers (FLO)D33066111401813151190%2644913.6300000000036000%0223000.2700000000
17Matthew StromeCharlotte Checkers (FLO)LW22415-10016173952710.26%925711.71000010000221033.33%18126000.3900000001
18Mattias HavelidCharlotte Checkers (FLO)D33325-512018194116127.32%2942512.8820221100000000%0516000.2400000000
19Noel FransenCharlotte Checkers (FLO)D3313414029193512132.86%2749715.07000657011017000%01220000.1600000000
20David FischerCharlotte Checkers (FLO)D330331010017151210110%2741612.630000100004000%0114000.1400000000
21Caedan BankierCharlotte Checkers (FLO)C331124004284512.50%0752.2900006000050060.00%1013000.5300000000
22Ryan ChesleyCharlotte Checkers (FLO)D14112100191415556.67%1321715.51000222101120000%029100.1800000001
23Boris ValabikCharlotte Checkers (FLO)D21000480191010160%1221610.320000000000000%01600000000000
Statistiques d’équipe totales ou en moyenne69410817027872198061455412103967588.93%392968613.961422369482668142361915149.93%2013266261110.5716000101116
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)2716740.9302.72163220741050475200.6676270542
2Sergei MursahovCharlotte Checkers (FLO)30300.8894.721780014126510000313100
3Kevin LalandeCharlotte Checkers (FLO)30210.9083.691790011120610000320000
Statistiques d’équipe totales ou en moyenne33161250.9242.991990209912965872063333642


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
Albert SjobergCharlotte Checkers (FLO)C/LW/RW201994-09-01No183 Lbs6 ft0YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Boris ValabikCharlotte Checkers (FLO)D381976-08-06No239 Lbs6 ft5YesNoFree AgentNoNo22024-09-02Pro & Farm600,000$361,257$0$0$No600,000$--------Yes--------
Caedan BankierCharlotte Checkers (FLO)C211993-09-01No192 Lbs6 ft2YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Chaz LuciusCharlotte Checkers (FLO)C211993-08-20Yes181 Lbs6 ft3NoNoTrade2024-01-21NoNo1Pro & Farm925,000$556,937$0$0$No------------------
Dalibor DvorskyCharlotte Checkers (FLO)C191995-08-19Yes202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
David FischerCharlotte Checkers (FLO)D361978-09-19No208 Lbs6 ft4NoNoN/ANoNo2Pro & Farm600,000$361,257$0$0$No600,000$--------No--------
Dmitri SimashevCharlotte Checkers (FLO)D191995-08-19Yes206 Lbs6 ft5NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
E.J. EmeryCharlotte Checkers (FLO)D181996-09-03Yes185 Lbs6 ft3NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Francesco ArcuriCharlotte Checkers (FLO)C211993-09-01No201 Lbs6 ft1YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Jack PeartCharlotte Checkers (FLO)D201994-09-01No185 Lbs5 ft11YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Jesper WallstedtCharlotte Checkers (FLO)G211993-09-19Yes218 Lbs6 ft5NoNoFree AgentNoNo22024-08-23Pro & Farm1,300,000$782,723$0$0$No1,300,000$--------No--------
Kevin LalandeCharlotte Checkers (FLO)G381976-10-20No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$451,571$0$0$No750,000$--------No--------
Konsta HeleniusCharlotte Checkers (FLO)C/RW181996-09-03Yes181 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW231991-06-23Yes178 Lbs5 ft9NoNoN/ANoNo1Pro & Farm500,000$301,047$0$0$No------------------
Marek AlscherCharlotte Checkers (FLO)D201994-07-08Yes198 Lbs6 ft3NoNoProspectNoNo32024-07-07Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Matthew MaggioCharlotte Checkers (FLO)RW211993-09-14Yes189 Lbs6 ft0NoNoTrade2024-07-07NoNo2Pro & Farm500,000$301,047$0$0$No500,000$--------No--------
Matthew StromeCharlotte Checkers (FLO)LW251989-10-04No218 Lbs6 ft5NoNoN/ANoNo1Pro & Farm500,001$301,048$0$0$No------------------
Mattias HavelidCharlotte Checkers (FLO)D201994-09-01Yes176 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$556,937$0$0$No------------------
Maxim BeryozkinCharlotte Checkers (FLO)LW/RW221992-08-31Yes209 Lbs6 ft2NoNoTrade2024-12-05NoNo1Pro & Farm500,000$301,047$0$0$No------------------
Michael HageCharlotte Checkers (FLO)C181996-09-03Yes190 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Noel FransenCharlotte Checkers (FLO)D181996-09-03Yes187 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Ryan ChesleyCharlotte Checkers (FLO)D201994-09-01Yes201 Lbs6 ft0NoNoProspectNoNo32024-08-23Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Sam ColangeloCharlotte Checkers (FLO)C/RW221992-08-31Yes218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,100,000$662,304$0$0$No1,100,000$--------No--------
Samu SalminenCharlotte Checkers (FLO)C/LW211993-06-23Yes197 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$556,937$0$0$No------------------
Samuel HeleniusCharlotte Checkers (FLO)C211993-09-01No216 Lbs6 ft6YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Sasha PastujovCharlotte Checkers (FLO)LW/RW211993-09-13Yes191 Lbs6 ft2NoNoTrade2024-08-12NoNo2Pro & Farm650,000$391,361$0$0$No650,000$--------No--------
Sergei MursahovCharlotte Checkers (FLO)G201994-09-01Yes173 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$391,361$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.30196 Lbs6 ft22.15937,963$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew StromeDalibor DvorskySasha Pastujov25122
2Maxim BeryozkinMichael HageSamuel Helenius25122
3Francesco ArcuriChaz LuciusMatthew Maggio25122
4Samu SalminenKonsta HeleniusAlbert Sjoberg25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher25122
2Mattias HavelidE.J. Emery25122
3Ryan ChesleyNoel Fransen25122
4David FischerJack Peart25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samu SalminenDalibor DvorskyMichael Hage50122
2Sasha PastujovKonsta HeleniusChaz Lucius50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher50122
2Noel FransenMattias Havelid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyMatthew Strome60122
2Konsta HeleniusSasha Pastujov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher60122
2Jack PeartE.J. Emery40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dalibor Dvorsky60122Dmitri SimashevMarek Alscher60122
2Samu Salminen40122Boris ValabikE.J. Emery40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyMaxim Beryozkin60122
2Konsta HeleniusMaxim Beryozkin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher60122
2Jack PeartE.J. Emery40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskyKonsta HeleniusDmitri SimashevMarek Alscher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskyChaz LuciusDmitri SimashevMarek Alscher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Caedan Bankier, Francesco Arcuri, Samuel HeleniusCaedan Bankier, Francesco ArcuriSamuel Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Chesley, Boris Valabik, David FischerMattias HavelidNoel Fransen, David Fischer
Tirs de pénalité
Dalibor Dvorsky, Chaz Lucius, Konsta Helenius, Sasha Pastujov, Michael Hage
Gardien
#1 : Jesper Wallstedt, #2 : Kevin Lalande, #3 : Sergei Mursahov
Lignes d’attaque personnalisées en prolongation
Dalibor Dvorsky, Maxim Beryozkin, Konsta Helenius, Albert Sjoberg, Michael Hage, Chaz Lucius, Chaz Lucius, Samu Salminen, Sasha Pastujov, Matthew Maggio, Samuel Helenius
Lignes de défense personnalisées en prolongation
Dmitri Simashev, Marek Alscher, Noel Fransen, E.J. Emery, Mattias Havelid


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 Canucks11000000624110000006240000000000021.0006101600314238237410431379123361412400.00%7185.71%241987647.83%45390949.83%26152250.00%723426693290577290
2Bakersfield Condors21100000660110000003121010000035-220.50061117003142382794104313791282222381317.69%10100.00%041987647.83%45390949.83%26152250.00%723426693290577290
3Belleville Senators11000000532110000005320000000000021.0005813003142382364104313791238151015300.00%5180.00%141987647.83%45390949.83%26152250.00%723426693290577290
4Bridgeport's Islanders1010000023-11010000023-10000000000000.000246003142382354104313791249810203133.33%5180.00%041987647.83%45390949.83%26152250.00%723426693290577290
5Calgary Wranglers22000000743110000005321100000021141.0007101700314238289410431379127620830500.00%40100.00%041987647.83%45390949.83%26152250.00%723426693290577290
6Chicago Wolves11000000321110000003210000000000021.000358003142382364104313791238141016000%50100.00%041987647.83%45390949.83%26152250.00%723426693290577290
7Colorado Eagles2010010058-31010000024-21000010034-110.25057120031423826941043137912852412429111.11%6350.00%041987647.83%45390949.83%26152250.00%723426693290577290
8Grand Rapids Griffins11000000523000000000001100000052321.0005712003142382364104313791229154173133.33%20100.00%041987647.83%45390949.83%26152250.00%723426693290577290
9Hartford Wolfpack11000000431000000000001100000043121.000459003142382294104313791252188143133.33%5180.00%041987647.83%45390949.83%26152250.00%723426693290577290
10Henderson Silver Knights1000000145-1000000000001000000145-110.5004711003142382464104313791234168263133.33%4250.00%141987647.83%45390949.83%26152250.00%723426693290577290
11Hershey Bears1000010012-1000000000001000010012-110.5001230031423823741043137912247218300.00%10100.00%041987647.83%45390949.83%26152250.00%723426693290577290
12Iowa Wild11000000431000000000001100000043121.00047110031423824241043137912501712152150.00%6266.67%041987647.83%45390949.83%26152250.00%723426693290577290
13Laval Rocket11000000615110000006150000000000021.0006101600314238235410431379124888173133.33%4175.00%141987647.83%45390949.83%26152250.00%723426693290577290
14Lehigh Valley Phantoms1010000001-1000000000001010000001-100.00000000314238239410431379122911821200.00%40100.00%041987647.83%45390949.83%26152250.00%723426693290577290
15Manitoba Moose10000010651000000000001000001065121.00068140031423824641043137912429822400.00%40100.00%041987647.83%45390949.83%26152250.00%723426693290577290
16Ontario Reign1010000013-2000000000001010000013-200.00012300314238233410431379124512218000%10100.00%041987647.83%45390949.83%26152250.00%723426693290577290
17Providence Bruins2010010079-21000010034-11010000045-110.2507121900314238278410431379128427840000%4175.00%041987647.83%45390949.83%26152250.00%723426693290577290
18Rochester Americans11000000211110000002110000000000021.00023500314238242410431379124612216200.00%10100.00%041987647.83%45390949.83%26152250.00%723426693290577290
19Rockford IceHogs1010000012-1000000000001010000012-100.00012300314238236410431379123311421200.00%20100.00%041987647.83%45390949.83%26152250.00%723426693290577290
20San Diego Gulls 1000010056-11000010056-10000000000010.5005813003142382284104313791241810156116.67%5260.00%041987647.83%45390949.83%26152250.00%723426693290577290
21San Jose Barracuda1010000034-11010000034-10000000000000.000369003142382404104313791236161012100.00%5180.00%041987647.83%45390949.83%26152250.00%723426693290577290
22Springfield Thunderbirds11000000321110000003210000000000021.00034700314238240410431379123415617200.00%30100.00%041987647.83%45390949.83%26152250.00%723426693290577290
23Syracuse Crunch11000000523000000000001100000052321.000591400314238236410431379122766247114.29%30100.00%041987647.83%45390949.83%26152250.00%723426693290577290
24Texas Stars1010000023-11010000023-10000000000000.00023500314238233410431379123884235240.00%2150.00%041987647.83%45390949.83%26152250.00%723426693290577290
25Toronto Marlies211000007701010000056-11100000021120.500711180031423827141043137912832410307228.57%5180.00%041987647.83%45390949.83%26152250.00%723426693290577290
26Utica Comets211000001073110000006241010000045-120.5001016260031423826241043137912833212418225.00%60100.00%141987647.83%45390949.83%26152250.00%723426693290577290
27Wilkes-Barre/Scranton Penguins1010000024-2000000000001010000024-200.00022400314238236410431379123717421200.00%2150.00%041987647.83%45390949.83%26152250.00%723426693290577290
Total33151200411112100121695002006147141767002115153-2370.56111217929100314238212264104313791212963982026011021615.69%1021981.37%641987647.83%45390949.83%26152250.00%723426693290577290
_Since Last GM Reset33151200411112100121695002006147141767002115153-2370.56111217929100314238212264104313791212963982026011021615.69%1021981.37%641987647.83%45390949.83%26152250.00%723426693290577290
_Vs Conference33151200411112100121695002006147141767002115153-2370.56111217929100314238212264104313791212963982026011021615.69%1021981.37%641987647.83%45390949.83%26152250.00%723426693290577290
_Vs Division178500210594712852001003222109330011027252200.58859941530031423826084104313791266721410231046919.57%52786.54%341987647.83%45390949.83%26152250.00%723426693290577290

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3337SOL11121792911226129639820260100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3315120411112100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
169502006147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176702115153
Derniers 10 matchs
WLOTWOTL SOWSOL
430201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1021615.69%1021981.37%6
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
410431379123142382
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
41987647.83%45390949.83%26152250.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
723426693290577290


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
113Charlotte Checkers4Hartford Wolfpack3AWSommaire du match
427Charlotte Checkers1Hershey Bears2ALXSommaire du match
640Chicago Wolves2Charlotte Checkers3BWSommaire du match
850Utica Comets2Charlotte Checkers6BWSommaire du match
1066Charlotte Checkers0Lehigh Valley Phantoms1ALSommaire du match
1384Belleville Senators3Charlotte Checkers5BWSommaire du match
17107Charlotte Checkers5Grand Rapids Griffins2AWSommaire du match
18114Laval Rocket1Charlotte Checkers6BWSommaire du match
21128Charlotte Checkers1Rockford IceHogs2ALSommaire du match
24144Charlotte Checkers3Bakersfield Condors5ALSommaire du match
27163Charlotte Checkers4Providence Bruins5ALSommaire du match
30182Calgary Wranglers3Charlotte Checkers5BWSommaire du match
33196Charlotte Checkers2Wilkes-Barre/Scranton Penguins4ALSommaire du match
34200Colorado Eagles4Charlotte Checkers2BLSommaire du match
36217Texas Stars3Charlotte Checkers2BLSommaire du match
39235Springfield Thunderbirds2Charlotte Checkers3BWSommaire du match
40238Rochester Americans1Charlotte Checkers2BWSommaire du match
42252Abbotsford's Canucks2Charlotte Checkers6BWSommaire du match
44258San Jose Barracuda4Charlotte Checkers3BLSommaire du match
46275Charlotte Checkers5Syracuse Crunch2AWSommaire du match
50293Charlotte Checkers2Toronto Marlies1AWSommaire du match
51300Charlotte Checkers4Utica Comets5ALSommaire du match
53317Providence Bruins4Charlotte Checkers3BLXSommaire du match
56327San Diego Gulls 6Charlotte Checkers5BLXSommaire du match
58343Bakersfield Condors1Charlotte Checkers3BWSommaire du match
60351Charlotte Checkers6Manitoba Moose5AWXXSommaire du match
63374Charlotte Checkers4Iowa Wild3AWSommaire du match
64381Bridgeport's Islanders3Charlotte Checkers2BLSommaire du match
67394Charlotte Checkers1Ontario Reign3ALSommaire du match
70412Charlotte Checkers2Calgary Wranglers1AWSommaire du match
71419Toronto Marlies6Charlotte Checkers5BLSommaire du match
73427Charlotte Checkers3Colorado Eagles4ALXSommaire du match
75442Charlotte Checkers4Henderson Silver Knights5ALXXSommaire du match
77450Hartford Wolfpack-Charlotte Checkers-
79467Charlotte Checkers-Abbotsford's Canucks-
81478Grand Rapids Griffins-Charlotte Checkers-
84496Syracuse Crunch-Charlotte Checkers-
87509Charlotte Checkers-Belleville Senators-
91533Charlotte Checkers-Chicago Wolves-
97566Charlotte Checkers-San Jose Barracuda-
98573Charlotte Checkers-Rochester Americans-
101590Henderson Silver Knights-Charlotte Checkers-
102597Charlotte Checkers-Laval Rocket-
106622Lehigh Valley Phantoms-Charlotte Checkers-
108631Iowa Wild-Charlotte Checkers-
112653Hershey Bears-Charlotte Checkers-
113660Rockford IceHogs-Charlotte Checkers-
116676Manitoba Moose-Charlotte Checkers-
118688Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
120699Charlotte Checkers-San Diego Gulls -
123717Charlotte Checkers-Texas Stars-
125728Charlotte Checkers-Springfield Thunderbirds-
128742Ontario Reign-Charlotte Checkers-
129749Charlotte Checkers-Bridgeport's Islanders-
134781Charlotte Checkers-Providence Bruins-
136797Bakersfield Condors-Charlotte Checkers-
137800Charlotte Checkers-Colorado Eagles-
139813Charlotte Checkers-Iowa Wild-
141823Charlotte Checkers-Utica Comets-
142833Charlotte Checkers-Wilkes-Barre/Scranton Penguins-
144843Toronto Marlies-Charlotte Checkers-
147863Rockford IceHogs-Charlotte Checkers-
149877Charlotte Checkers-Chicago Wolves-
152893Manitoba Moose-Charlotte Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154902Laval Rocket-Charlotte Checkers-
156920Charlotte Checkers-Belleville Senators-
158935Springfield Thunderbirds-Charlotte Checkers-
161950Ontario Reign-Charlotte Checkers-
163966Hartford Wolfpack-Charlotte Checkers-
165973Abbotsford's Canucks-Charlotte Checkers-
167992Charlotte Checkers-Texas Stars-
1691003San Jose Barracuda-Charlotte Checkers-
1721026Charlotte Checkers-Syracuse Crunch-
1741040Calgary Wranglers-Charlotte Checkers-
1771058Charlotte Checkers-San Diego Gulls -
1781067Lehigh Valley Phantoms-Charlotte Checkers-
1801079Charlotte Checkers-Grand Rapids Griffins-
1821094Charlotte Checkers-Bridgeport's Islanders-
1841104Charlotte Checkers-Henderson Silver Knights-
1861115Charlotte Checkers-Hershey Bears-
1871122Rochester Americans-Charlotte Checkers-
1901146Grand Rapids Griffins-Charlotte Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3515
Assistance80,00080,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 10000 - 100.00% 372,500$5,960,000$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,053,070$ 5,065,000$ 5,065,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,953,586$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,312,500$ 115 27,827$ 3,200,105$




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