Connexion

Charlotte Checkers
GP: 24 | W: 12 | L: 9 | OTL: 3 | P: 27
GF: 82 | GA: 69 | PP%: 15.28% | PK%: 82.43%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #343 vs Bakersfield Condors
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Centre de jeu
Providence Bruins
15-7-0, 30pts
4
FINAL
3 Charlotte Checkers
12-9-3, 27pts
Team Stats
W3SéquenceOTL2
8-4-0Fiche domicile8-3-2
7-3-0Fiche domicile4-6-1
6-4-0Derniers 10 matchs5-3-2
3.23Buts par match 3.42
2.68Buts contre par match 2.88
15.69%Pourcentage en avantage numérique15.28%
85.71%Pourcentage en désavantage numérique82.43%
San Diego Gulls
13-10-2, 28pts
6
FINAL
5 Charlotte Checkers
12-9-3, 27pts
Team Stats
W4SéquenceOTL2
8-4-1Fiche domicile8-3-2
5-6-1Fiche domicile4-6-1
7-3-0Derniers 10 matchs5-3-2
3.28Buts par match 3.42
3.28Buts contre par match 2.88
13.41%Pourcentage en avantage numérique15.28%
86.67%Pourcentage en désavantage numérique82.43%
Bakersfield Condors
10-9-3, 23pts
Jour 58
Charlotte Checkers
12-9-3, 27pts
Statistiques d’équipe
L2SéquenceOTL2
5-6-1Fiche domicile8-3-2
5-3-2Fiche visiteur4-6-1
3-6-110 derniers matchs5-3-2
3.32Buts par match 3.42
3.14Buts contre par match 3.42
25.71%Pourcentage en avantage numérique15.28%
72.31%Pourcentage en désavantage numérique82.43%
Charlotte Checkers
12-9-3, 27pts
Jour 60
Manitoba Moose
15-9-2, 32pts
Statistiques d’équipe
OTL2SéquenceL1
8-3-2Fiche domicile8-5-0
4-6-1Fiche visiteur7-4-2
5-3-210 derniers matchs5-4-1
3.42Buts par match 3.23
2.88Buts contre par match 3.23
15.28%Pourcentage en avantage numérique14.86%
82.43%Pourcentage en désavantage numérique84.93%
Charlotte Checkers
12-9-3, 27pts
Jour 63
Iowa Wild
12-12-1, 25pts
Statistiques d’équipe
OTL2SéquenceW7
8-3-2Fiche domicile7-6-0
4-6-1Fiche visiteur5-6-1
5-3-210 derniers matchs8-2-0
3.42Buts par match 3.36
2.88Buts contre par match 3.36
15.28%Pourcentage en avantage numérique35.71%
82.43%Pourcentage en désavantage numérique80.52%
Meneurs d'équipe
Buts
Dalibor Dvorsky
15
Passes
Sam Colangelo
15
Points
Dalibor Dvorsky
29
Plus/Moins
Sam Colangelo
11
Victoires
Jesper Wallstedt
12
Pourcentage d’arrêts
Jesper Wallstedt
0.93

Statistiques d’équipe
Buts pour
82
3.42 GFG
Tirs pour
883
36.79 Avg
Pourcentage en avantage numérique
15.3%
11 GF
Début de zone offensive
37.5%
Buts contre
69
2.88 GAA
Tirs contre
917
38.21 Avg
Pourcentage en désavantage numérique
82.4%%
13 GA
Début de la zone défensive
39.3%
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)X100.007442768076707085818176737459648899710192925,000$
2Danila Yurov (R)X100.007431797874828282627474717345467699690201925,000$
3Sam Colangelo (R)XX100.0073337985807376817971767173364166996802221,100,000$
4Konsta Helenius (R)XX100.007131738475666683797872717249408299680183925,000$
5Samu Salminen (R)XX100.007435757876757573817272697251536599670211925,000$
6Michael Hage (R)X100.007433758277737381797474717429338199670183925,000$
7Chaz Lucius (R)X100.006528767874707073836876727444517899670211925,000$
8Sasha Pastujov (R) (A)XX100.006732767774676779567472657157526799660212650,000$
9Matthew Maggio (R)X100.006934787772777778527171647143666299660212500,000$
10Matthew StromeX100.006834787881737566536366676866685999650251500,001$
11Caedan BankierX100.00683672777469697074696965695057649964N02131,499,999$
12Francesco ArcuriX100.00713872727669697571687061704444549963N02131,499,999$
13Samuel HeleniusX100.00744072677871715675636774674640709962N02131,499,999$
14Dmitri Simashev (R)X100.007844768478757560637167806639418899690192925,000$
15Marek Alscher (R) (C)X100.007633777277777759597069766961526999680203925,000$
16E.J. Emery (R)X100.007531777675808057637066796637468199680183925,000$
17Mattias Havelid (R)X100.007033777871777768617073747255697299680201925,000$
18Noel Fransen (R)X100.007231797475737373597273677343616999670183925,000$
19David FischerX100.007943757678707351544947745093992799670362600,000$
20Boris ValabikX100.00698331868460663148333076409898279964N0382600,000$
21Jack PeartX100.00703472727266666258686370634449759963N02031,499,999$
Rayé
1Albert SjobergXXX100.00683470757263636870667260725845549962N02031,499,999$
2Leevi Aaltonen (R)XX100.006227777569666665546264626957555599610231500,000$
3Ryan Chesley (R)X84.347835817279737359617069786951667799680203925,000$
MOYENNE D’ÉQUIPE99.33723674777671726866686870685256679966
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)C24151429880224176225019.74%842117.5542610581125623054.88%5232110011.3800000311
2Sam ColangeloCharlotte Checkers (FLO)C/RW24715221140321670215010.00%1037215.5111211570111250038.89%18128001.1800000004
3Konsta HeleniusCharlotte Checkers (FLO)C/RW249918180312910224788.82%1038215.9413414561012243052.49%3811911000.9400000100
4Danila YurovCharlotte Checkers (FLO)RW246121806025338832606.82%1343618.172469590224650041.67%3241012000.8300000043
5Sasha PastujovCharlotte Checkers (FLO)LW/RW2471118910022174993114.29%734714.471231257000031055.56%1854001.0400000011
6Samu SalminenCharlotte Checkers (FLO)C/LW2451015-116029245117499.80%1138516.051235580112180029.17%24127000.7800000021
7Michael HageCharlotte Checkers (FLO)C24591426024228025386.25%1130312.6400000000000049.46%279293000.9200000100
8Samuel HeleniusCharlotte Checkers (FLO)C24751248022212891825.00%933413.94000001012262048.00%2585000.7200000030
9E.J. EmeryCharlotte Checkers (FLO)D24191010601925221474.55%2439916.64022356011143000%0617000.5000000000
10Matthew MaggioCharlotte Checkers (FLO)RW2444822017195521387.27%829812.4400000000001029.41%17147000.5400000200
11Francesco ArcuriCharlotte Checkers (FLO)C24527380251127123018.52%1030112.5500001000002075.00%1657000.4600000010
12Dmitri SimashevCharlotte Checkers (FLO)D24167080171917895.88%2343618.19112160011065000%0511000.3200000000
13Marek AlscherCharlotte Checkers (FLO)D2424621001922268147.69%2643518.15011560101164000%0418000.2801000001
14Albert SjobergCharlotte Checkers (FLO)C/LW/RW91566601462112164.76%110211.3700000000200071.43%772001.1700000001
15Jack PeartCharlotte Checkers (FLO)D2406611100121110770%1832013.3300000000020000%0217000.3800000000
16Chaz LuciusCharlotte Checkers (FLO)C24235-24016215119323.92%1029412.2700000000000064.29%14134000.3400000000
17Matthew StromeCharlotte Checkers (FLO)LW13213-5001311274127.41%715011.6100001000000037.50%872000.4000000001
18Mattias HavelidCharlotte Checkers (FLO)D24123-51009142612103.85%2430712.790000100000000%0312000.2000000000
19Ryan ChesleyCharlotte Checkers (FLO)D12112200181212448.33%1119115.98000222101120000%029100.2100000001
20Noel FransenCharlotte Checkers (FLO)D24112-220211229883.45%2335414.77000532011014000%0816000.1100000000
21David FischerCharlotte Checkers (FLO)D24022116011137780%1830412.670000100003000%0012000.1300000000
22Caedan BankierCharlotte Checkers (FLO)C24011300324230%0431.7900003000040066.67%612000.4600000000
23Boris ValabikCharlotte Checkers (FLO)D120004601275140%713711.440000000000000%01300000000000
Statistiques d’équipe totales ou en moyenne502821322147414404334088832985769.29%289705914.061118297759058132146512050.24%1660194199110.610100071214
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)2012620.9302.65120020537593432000200332
2Sergei MursahovCharlotte Checkers (FLO)10100.8685.095900538130000110000
3Kevin LalandeCharlotte Checkers (FLO)30210.9083.691790011120610000314000
Statistiques d’équipe totales ou en moyenne2412930.9252.88143920699174172002424332


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$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Boris ValabikCharlotte Checkers (FLO)D381976-08-06No239 Lbs6 ft5YesNoFree AgentNoNo22024-09-02Pro & Farm600,000$420,942$0$0$No600,000$--------Yes--------
Caedan BankierCharlotte Checkers (FLO)C211993-09-01No192 Lbs6 ft2YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Chaz LuciusCharlotte Checkers (FLO)C211993-08-20Yes181 Lbs6 ft3NoNoTrade2024-01-21NoNo1Pro & Farm925,000$648,953$0$0$No------------------
Dalibor DvorskyCharlotte Checkers (FLO)C191995-08-19Yes202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$648,953$0$0$No925,000$--------No--------
Danila YurovCharlotte Checkers (FLO)RW201994-09-01Yes186 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$648,953$0$0$No------------------
David FischerCharlotte Checkers (FLO)D361978-09-19No208 Lbs6 ft4NoNoN/ANoNo2Pro & Farm600,000$420,942$0$0$No600,000$--------No--------
Dmitri SimashevCharlotte Checkers (FLO)D191995-08-19Yes206 Lbs6 ft5NoNoN/ANoNo2Pro & Farm925,000$648,953$0$0$No925,000$--------No--------
E.J. EmeryCharlotte Checkers (FLO)D181996-09-03Yes185 Lbs6 ft3NoNoProspectNoNo32024-09-02Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Francesco ArcuriCharlotte Checkers (FLO)C211993-09-01No201 Lbs6 ft1YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Jack PeartCharlotte Checkers (FLO)D201994-09-01No185 Lbs5 ft11YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Jesper WallstedtCharlotte Checkers (FLO)G211993-09-19Yes218 Lbs6 ft5NoNoFree AgentNoNo22024-08-23Pro & Farm1,300,000$912,042$0$0$No1,300,000$--------No--------
Kevin LalandeCharlotte Checkers (FLO)G381976-10-20No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$526,178$0$0$No750,000$--------No--------
Konsta HeleniusCharlotte Checkers (FLO)C/RW181996-09-03Yes181 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW231991-06-23Yes178 Lbs5 ft9NoNoN/ANoNo1Pro & Farm500,000$350,785$0$0$No------------------
Marek AlscherCharlotte Checkers (FLO)D201994-07-08Yes198 Lbs6 ft3NoNoProspectNoNo32024-07-07Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Matthew MaggioCharlotte Checkers (FLO)RW211993-09-14Yes189 Lbs6 ft0NoNoTrade2024-07-07NoNo2Pro & Farm500,000$350,785$0$0$No500,000$--------No--------
Matthew StromeCharlotte Checkers (FLO)LW251989-10-04No218 Lbs6 ft5NoNoN/ANoNo1Pro & Farm500,001$350,786$0$0$No------------------
Mattias HavelidCharlotte Checkers (FLO)D201994-09-01Yes176 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$648,953$0$0$No------------------
Michael HageCharlotte Checkers (FLO)C181996-09-03Yes190 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Noel FransenCharlotte Checkers (FLO)D181996-09-03Yes187 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Ryan Chesley (sur la masse salariale)Charlotte Checkers (FLO)D201994-09-01Yes201 Lbs6 ft0NoNoProspectNoNo32024-08-23Pro & Farm925,000$648,953$0$0$Yes925,000$925,000$-------NoNo-------
Sam ColangeloCharlotte Checkers (FLO)C/RW221992-08-31Yes218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,100,000$771,728$0$0$No1,100,000$--------No--------
Samu SalminenCharlotte Checkers (FLO)C/LW211993-06-23Yes197 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$648,953$0$0$No------------------
Samuel HeleniusCharlotte Checkers (FLO)C211993-09-01No216 Lbs6 ft6YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Sasha PastujovCharlotte Checkers (FLO)LW/RW211993-09-13Yes191 Lbs6 ft2NoNoTrade2024-08-12NoNo2Pro & Farm650,000$456,021$0$0$No650,000$--------No--------
Sergei MursahovCharlotte Checkers (FLO)G201994-09-01Yes173 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$456,021$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.22196 Lbs6 ft22.15953,704$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sasha PastujovDalibor DvorskySam Colangelo25122
2Matthew StromeMichael HageSamuel Helenius25122
3Francesco ArcuriDanila YurovMatthew Maggio25122
4Samu SalminenKonsta HeleniusChaz Lucius25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher25122
2Boris ValabikE.J. Emery25122
3Mattias HavelidNoel Fransen25122
4David FischerJack Peart25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samu SalminenDalibor DvorskyDanila Yurov50122
2Sasha PastujovKonsta HeleniusSam Colangelo50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher50122
2Noel FransenE.J. Emery50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyDanila Yurov60122
2Konsta HeleniusSam Colangelo40122
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
2Danila Yurov40122Boris ValabikE.J. Emery40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyDanila Yurov60122
2Konsta HeleniusSam Colangelo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri SimashevMarek Alscher60122
2Jack PeartE.J. Emery40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskyDanila YurovDmitri SimashevMarek Alscher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskyDanila YurovDmitri SimashevMarek Alscher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Caedan Bankier, Francesco Arcuri, Samuel HeleniusCaedan Bankier, Francesco ArcuriSamuel Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Havelid, Boris Valabik, David FischerMattias HavelidNoel Fransen, David Fischer
Tirs de pénalité
Dalibor Dvorsky, Danila Yurov, Konsta Helenius, Sam Colangelo, Michael Hage
Gardien
#1 : Jesper Wallstedt, #2 : Sergei Mursahov, #3 : Kevin Lalande
Lignes d’attaque personnalisées en prolongation
Dalibor Dvorsky, Danila Yurov, Konsta Helenius, Sam Colangelo, Michael Hage, Chaz Lucius, Chaz Lucius, Samu Salminen, Sasha Pastujov, Matthew Maggio, Caedan Bankier
Lignes de défense personnalisées en prolongation
Dmitri Simashev, Marek Alscher, , 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 Canucks11000000624110000006240000000000021.000610160024292903729929728703361412400.00%7185.71%230262148.63%33465151.31%19838351.70%525312500210416208
2Bakersfield Condors1010000035-2000000000001010000035-200.0003690024292904729929728704392207114.29%10100.00%030262148.63%33465151.31%19838351.70%525312500210416208
3Belleville Senators11000000532110000005320000000000021.000581300242929036299297287038151015300.00%5180.00%130262148.63%33465151.31%19838351.70%525312500210416208
4Calgary Wranglers11000000532110000005320000000000021.0005712002429290482992972870337217200.00%10100.00%030262148.63%33465151.31%19838351.70%525312500210416208
5Chicago Wolves11000000321110000003210000000000021.00035800242929036299297287038141016000%50100.00%030262148.63%33465151.31%19838351.70%525312500210416208
6Colorado Eagles1010000024-21010000024-20000000000000.0002350024292903329929728704710619500.00%3233.33%030262148.63%33465151.31%19838351.70%525312500210416208
7Grand Rapids Griffins11000000523000000000001100000052321.000571200242929036299297287029154173133.33%20100.00%030262148.63%33465151.31%19838351.70%525312500210416208
8Hartford Wolfpack11000000431000000000001100000043121.00045900242929029299297287052188143133.33%5180.00%030262148.63%33465151.31%19838351.70%525312500210416208
9Hershey Bears1000010012-1000000000001000010012-110.500123002429290372992972870247218300.00%10100.00%030262148.63%33465151.31%19838351.70%525312500210416208
10Laval Rocket11000000615110000006150000000000021.000610160024292903529929728704888173133.33%4175.00%130262148.63%33465151.31%19838351.70%525312500210416208
11Lehigh Valley Phantoms1010000001-1000000000001010000001-100.0000000024292903929929728702911821200.00%40100.00%030262148.63%33465151.31%19838351.70%525312500210416208
12Providence Bruins2010010079-21000010034-11010000045-110.250712190024292907829929728708427840000%4175.00%030262148.63%33465151.31%19838351.70%525312500210416208
13Rochester Americans11000000211110000002110000000000021.0002350024292904229929728704612216200.00%10100.00%030262148.63%33465151.31%19838351.70%525312500210416208
14Rockford IceHogs1010000012-1000000000001010000012-100.0001230024292903629929728703311421200.00%20100.00%030262148.63%33465151.31%19838351.70%525312500210416208
15San Diego Gulls 1000010056-11000010056-10000000000010.500581300242929028299297287041810156116.67%5260.00%030262148.63%33465151.31%19838351.70%525312500210416208
16San Jose Barracuda1010000034-11010000034-10000000000000.00036900242929040299297287036161012100.00%5180.00%030262148.63%33465151.31%19838351.70%525312500210416208
17Springfield Thunderbirds11000000321110000003210000000000021.0003470024292904029929728703415617200.00%30100.00%030262148.63%33465151.31%19838351.70%525312500210416208
18Syracuse Crunch11000000523000000000001100000052321.00059140024292903629929728702766247114.29%30100.00%030262148.63%33465151.31%19838351.70%525312500210416208
19Texas Stars1010000023-11010000023-10000000000000.0002350024292903329929728703884235240.00%2150.00%030262148.63%33465151.31%19838351.70%525312500210416208
20Toronto Marlies11000000211000000000001100000021121.00024600242929039299297287044176172150.00%3166.67%030262148.63%33465151.31%19838351.70%525312500210416208
21Utica Comets211000001073110000006241010000045-120.500101626002429290622992972870833212418225.00%60100.00%130262148.63%33465151.31%19838351.70%525312500210416208
22Wilkes-Barre/Scranton Penguins1010000024-2000000000001010000024-200.0002240024292903629929728703717421200.00%2150.00%030262148.63%33465151.31%19838351.70%525312500210416208
Total24129003008269131383002005137141146001003132-1270.563821322140024292908832992972870917289146433721115.28%741382.43%530262148.63%33465151.31%19838351.70%525312500210416208
_Since Last GM Reset24129003008269131383002005137141146001003132-1270.563821322140024292908832992972870917289146433721115.28%741382.43%530262148.63%33465151.31%19838351.70%525312500210416208
_Vs Conference24129003008269131383002005137141146001003132-1270.563821322140024292908832992972870917289146433721115.28%741382.43%530262148.63%33465151.31%19838351.70%525312500210416208
_Vs Division158300200523814650001002513129330010027252180.600528313500242929054129929728705791998827738718.42%45686.67%330262148.63%33465151.31%19838351.70%525312500210416208

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2427OTL28213221488391728914643300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2412903008269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138302005137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
114601003132
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721115.28%741382.43%5
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
29929728702429290
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
30262148.63%33465151.31%19838351.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
525312500210416208


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 Condors-Charlotte Checkers-
60351Charlotte Checkers-Manitoba Moose-
63374Charlotte Checkers-Iowa Wild-
64381Bridgeport's Islanders-Charlotte Checkers-
67394Charlotte Checkers-Ontario Reign-
70412Charlotte Checkers-Calgary Wranglers-
71419Toronto Marlies-Charlotte Checkers-
73427Charlotte Checkers-Colorado Eagles-
75442Charlotte Checkers-Henderson Silver Knights-
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
Assistance65,00065,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 10000 - 100.00% 372,500$4,842,500$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,535,713$ 4,965,000$ 4,965,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,461,100$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
10,430,000$ 134 27,304$ 3,658,736$




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