Connexion

Charlotte Checkers
GP: 53 | W: 36 | L: 13 | OTL: 4 | P: 76
GF: 218 | GA: 180 | PP%: 18.18% | PK%: 82.84%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #748 vs Lehigh Valley Phantoms
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Centre de jeu
Providence Bruins
25-19-9, 59pts
1
FINAL
5 Charlotte Checkers
36-13-4, 76pts
Team Stats
OTL1SéquenceL1
14-9-4Fiche domicile19-6-1
11-10-5Fiche domicile17-7-3
3-5-2Derniers 10 matchs7-2-1
3.70Buts par match 4.11
3.98Buts contre par match 3.40
21.38%Pourcentage en avantage numérique18.18%
80.37%Pourcentage en désavantage numérique82.84%
Syracuse Crunch
26-23-4, 56pts
5
FINAL
3 Charlotte Checkers
36-13-4, 76pts
Team Stats
W1SéquenceL1
10-14-2Fiche domicile19-6-1
16-9-2Fiche domicile17-7-3
3-6-1Derniers 10 matchs7-2-1
3.91Buts par match 4.11
3.62Buts contre par match 3.40
21.13%Pourcentage en avantage numérique18.18%
78.76%Pourcentage en désavantage numérique82.84%
Lehigh Valley Phantoms
24-23-4, 52pts
Jour 128
Charlotte Checkers
36-13-4, 76pts
Statistiques d’équipe
W2SéquenceL1
14-11-1Fiche domicile19-6-1
10-12-3Fiche visiteur17-7-3
7-2-110 derniers matchs7-2-1
3.53Buts par match 4.11
3.67Buts contre par match 4.11
24.81%Pourcentage en avantage numérique18.18%
85.83%Pourcentage en désavantage numérique82.84%
Charlotte Checkers
36-13-4, 76pts
Jour 131
San Diego Gulls
29-21-3, 61pts
Statistiques d’équipe
L1SéquenceL1
19-6-1Fiche domicile13-10-3
17-7-3Fiche visiteur16-11-0
7-2-110 derniers matchs6-3-1
4.11Buts par match 3.89
3.40Buts contre par match 3.89
18.18%Pourcentage en avantage numérique18.87%
82.84%Pourcentage en désavantage numérique76.80%
Charlotte Checkers
36-13-4, 76pts
Jour 133
Providence Bruins
25-19-9, 59pts
Statistiques d’équipe
L1SéquenceOTL1
19-6-1Fiche domicile14-9-4
17-7-3Fiche visiteur11-10-5
7-2-110 derniers matchs3-5-2
4.11Buts par match 3.70
3.40Buts contre par match 3.70
18.18%Pourcentage en avantage numérique21.38%
82.84%Pourcentage en désavantage numérique80.37%
Meneurs d'équipe
Buts
Sam Colangelo
37
Passes
Dalibor Dvorsky
43
Points
Dalibor Dvorsky
63
Plus/Moins
Sam Colangelo
18
Victoires
Jesper Wallstedt
21
Pourcentage d’arrêts
Jesper Wallstedt
0.92

Statistiques d’équipe
Buts pour
218
4.11 GFG
Tirs pour
2081
39.26 Avg
Pourcentage en avantage numérique
18.2%
28 GF
Début de zone offensive
39.1%
Buts contre
180
3.40 GAA
Tirs contre
2129
40.17 Avg
Pourcentage en désavantage numérique
82.8%%
23 GA
Début de la zone défensive
38.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité10,000
Assistance9,396
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$
2Dalibor Dvorsky (R)X99.007341777279686883797974727456619199690183925,000$
3Blake ColemanXXX100.005423898877838375887172546567683899680301750,000$
4Sam Colangelo (R)XX99.0073337982797174797769746973343968996702131,100,000$
5Danila Yurov (R)X100.007431797074808081627373707342437999670192925,000$
6Frank Nazar (R)XX100.007231817072808078817173727336437999670192925,000$
7Samu Salminen (R)XX99.007233777075737373797272687250526699650202925,000$
8Chaz Lucius (R)X100.006528767072686872816775717442498099640202925,000$
9Ben Jones (R)X100.006332807375707569806767616859615199640242500,001$
10Matthew Strome (R)X100.006834787080717366536366666864666199640242500,001$
11Martin Chromniak (R)XX100.006836746974656578537170627063505999640213650,000$
12Sasha Pastujov (R)XX100.006934746972656578567371657155506999640203650,000$
13Anton Johannesson (R)X99.007028787067777783567575687352566399680212925,000$
14David FischerX100.00774177787872755054484673509099309967N0353600,000$
15Dmitri Simashev (R)X100.007541797679737359637066796636389199670183925,000$
16Justin Barron (R)X100.007439736877747660526358746047587399660213850,000$
17Mattias Havelid (R)X99.006831777070757567616972727252667599660192925,000$
18Vyacheslav VojnovX100.005320877874768041544041745093993299650331750,000$
19Roman Schmidt (R)X100.008044667280707257506464736337426599650201500,000$
20Hugo Gabrielson (R)X100.006531796770797969526866626741535799630202650,000$
Rayé
1Robbie EarlXXX100.004327958775797973787273596684842999680381750,000$
2Leevi Aaltonen (R)XX100.006429756768646467546466626955535799600222500,000$
3Boris ValabikX100.007084308884626829483129764095953099640371600,000$
MOYENNE D’ÉQUIPE99.78683576747573746865666668675761629966
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)98.00807984878487878787798263558399670201925,000$
2Kevin Lalande100.0075807576857272828274759189299966N0373750,000$
3Sergei Mursahov (R)100.00808376728385858383808337427299630192650,000$
Rayé
MOYENNE D’ÉQUIPE99.3378817878848181848478806462619965
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
1Dalibor DvorskyCharlotte Checkers (FLO)C53204363171808276210671289.52%25100919.054711181230004967248.48%11862726111.2512000434
2Sam ColangeloCharlotte Checkers (FLO)C/RW533725621812075762197913116.89%3398818.64369261230002853447.27%1655023021.2500000752
3Mavrik BourqueCharlotte Checkers (FLO)C53273158-220075782006912713.50%2689016.818513291280000165349.17%9684819001.3002000514
4Blake ColemanCharlotte Checkers (FLO)C/LW/RW53183755-6403648214731218.41%2288916.792461481000025150.72%695114101.2400000221
5Frank NazarCharlotte Checkers (FLO)C/RW531323361460382514839888.78%1662211.7400000000002053.85%391913001.1600000202
6Danila YurovCharlotte Checkers (FLO)RW5315193451205142113367313.27%1660611.4300000000002135.71%282116001.1200000211
7Samu SalminenCharlotte Checkers (FLO)C/LW5310192917100854693356910.75%3299018.69224131230000870244.67%1501914000.5900000123
8Sasha PastujovCharlotte Checkers (FLO)LW/RW51141428-9605732113437912.39%2473514.41437141020000152057.58%33239000.7600000202
9Anton JohannessonCharlotte Checkers (FLO)D5041923-110037618733514.60%7398519.7022418133000024010%02036000.4712000003
10Matthew StromeCharlotte Checkers (FLO)LW531211231240454374264616.22%2174614.080447820001313234.04%471220000.6200000021
11Chaz LuciusCharlotte Checkers (FLO)C40101020260543910541519.52%1253313.34224641000010448.62%399229000.7512000032
12Martin ChromniakCharlotte Checkers (FLO)LW/RW5391019718044219623609.38%144859.1600000000001138.10%211213000.7800000020
13Mattias HavelidCharlotte Checkers (FLO)D53315181318042706031315.00%70105019.8211210123000197100%01532000.3400000002
14Ben JonesCharlotte Checkers (FLO)C534121664029234515368.89%124819.0900000000000044.82%29978000.6600000002
15David FischerCharlotte Checkers (FLO)D49213151416055544322304.65%5395119.422138114000086010%0246000.3200000010
16Roman SchmidtCharlotte Checkers (FLO)D514101416320584636182211.11%6980315.7500000000191210%0438000.3501000000
17Dmitri SimashevCharlotte Checkers (FLO)D5201212721541475723160%3974114.2602210127000013000%0327000.3200100000
18Vyacheslav VojnovCharlotte Checkers (FLO)D530111136011413111180%6266912.6200000000031000%0217000.3301000000
19Robbie EarlCharlotte Checkers (FLO)C/LW/RW447411-5003652143313.46%82385.420000170000141033.33%9133000.9201000001
20Justin BarronCharlotte Checkers (FLO)D530101062203535248110%5165912.44000110000196000%0127000.3000000000
21Hugo GabrielsonCharlotte Checkers (FLO)D53235-31201220179711.76%335239.881011000003000%0216000.1900000000
22Boris ValabikCharlotte Checkers (FLO)D3101210043101100.00%45016.780000000000000%001000.4000000000
23Leevi AaltonenCharlotte Checkers (FLO)LW/RW5000000000000%071.560000000006000%20000000000000
Statistiques d’équipe totales ou en moyenne108721235156313326759699322038715122910.40%7151566014.41313970175133600010802342347.91%3415373427230.72311100252230
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)3121730.9203.201874001001255589211.0003315741
2Sergei MursahovCharlotte Checkers (FLO)108100.9133.1856700303451592000918010
3Kevin LalandeCharlotte Checkers (FLO)137510.9093.797600048528288000.50021330210
Statistiques d’équipe totales ou en moyenne54361340.9163.34320200178212810364155353961


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$316,447$0$0$No925,000$--------No--------
Ben JonesCharlotte Checkers (FLO)C241990-10-04 05:36:20Yes201 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Blake ColemanCharlotte Checkers (FLO)C/LW/RW301984-11-28 05:53:21No215 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$256,579$0$0$No------------------
Boris ValabikCharlotte Checkers (FLO)D371977-08-06 20:38:02No239 Lbs6 ft5NoNoN/ANoNo1Pro & Farm600,000$205,263$0$0$No------------------
Chaz LuciusCharlotte Checkers (FLO)C201994-08-20 05:00:35Yes177 Lbs6 ft2NoNoTrade2024-01-21NoNo2Pro & Farm925,000$316,447$0$0$No925,000$--------No--------
Dalibor DvorskyCharlotte Checkers (FLO)C181996-08-19 12:13:39Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Danila YurovCharlotte Checkers (FLO)RW191995-09-01 05:11:47Yes183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$316,447$0$0$No925,000$--------No--------
David FischerCharlotte Checkers (FLO)D351979-09-19 10:13:25No208 Lbs6 ft4YesNoN/ANoNo3Pro & Farm600,000$205,263$0$0$No600,000$600,000$-------YesYes-------
Dmitri SimashevCharlotte Checkers (FLO)D181996-08-19 12:14:43Yes201 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Frank NazarCharlotte Checkers (FLO)C/RW191995-09-01 05:13:39Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$316,447$0$0$No925,000$--------No--------
Hugo GabrielsonCharlotte Checkers (FLO)D201994-06-23 03:46:57Yes173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$222,368$0$0$No650,000$--------No--------
Jesper WallstedtCharlotte Checkers (FLO)G201994-09-19 18:41:10Yes217 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$316,447$0$0$No------------------
Justin BarronCharlotte Checkers (FLO)D211993-08-31 22:05:44Yes195 Lbs6 ft5NoNoN/ANoNo3Pro & Farm850,000$290,789$0$0$No850,000$850,000$-------NoNo-------
Kevin LalandeCharlotte Checkers (FLO)G371977-10-20 10:01:29No180 Lbs5 ft11YesNoN/ANoNo3Pro & Farm750,000$256,579$0$0$No750,000$750,000$-------YesYes-------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW221992-06-23 04:13:57Yes177 Lbs5 ft9NoNoN/ANoNo2Pro & Farm500,000$171,053$0$0$No500,000$--------No--------
Martin ChromniakCharlotte Checkers (FLO)LW/RW211993-06-18 03:59:00Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm650,000$222,368$0$0$No650,000$650,000$-------NoNo-------
Matthew StromeCharlotte Checkers (FLO)LW241990-10-04 05:51:19Yes217 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Mattias HavelidCharlotte Checkers (FLO)D191995-09-01 05:15:31Yes174 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$316,447$0$0$No925,000$--------No--------
Mavrik BourqueCharlotte Checkers (FLO)C211993-08-29 07:57:17Yes191 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$316,447$0$0$No------------------
Robbie EarlCharlotte Checkers (FLO)C/LW/RW381976-08-06 14:38:02No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$256,579$0$0$No------------------
Roman SchmidtCharlotte Checkers (FLO)D201994-09-19 18:16:07Yes213 Lbs6 ft7NoNoN/ANoNo1Pro & Farm500,000$171,053$0$0$No------------------
Sam ColangeloCharlotte Checkers (FLO)C/RW211993-08-31 21:05:18Yes217 Lbs6 ft4NoNoN/ANoNo3Pro & Farm1,100,000$376,316$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$316,447$0$0$No925,000$--------No--------
Sasha PastujovCharlotte Checkers (FLO)LW/RW201994-09-13 10:30:12Yes187 Lbs6 ft1NoNoTrade2024-01-21NoNo3Pro & Farm650,000$222,368$0$0$No650,000$650,000$-------NoNo-------
Sergei MursahovCharlotte Checkers (FLO)G191995-09-01 05:17:06Yes170 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$222,368$0$0$No650,000$--------No--------
Vyacheslav VojnovCharlotte Checkers (FLO)D331981-10-05 16:08:49No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$256,579$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 BourqueDanila Yurov30122
2Samu SalminenDalibor DvorskySam Colangelo30122
3Matthew StromeChaz LuciusFrank Nazar20122
4Martin ChromniakBen JonesSasha Pastujov20122
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
1Sasha PastujovMavrik BourqueBlake Coleman50122
2Samu SalminenDalibor DvorskySam Colangelo50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonDmitri Simashev50122
2David FischerMattias Havelid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloDalibor Dvorsky50122
2Samu SalminenSasha Pastujov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronRoman Schmidt50122
2Dmitri SimashevMattias Havelid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dalibor Dvorsky50122Justin BarronDmitri Simashev50122
2Blake Coleman50122Hugo GabrielsonMattias Havelid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mavrik BourqueDalibor Dvorsky50122
2Samu SalminenSasha Pastujov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronDmitri Simashev50122
2Roman SchmidtMattias Havelid50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskySam ColangeloAnton JohannessonMattias Havelid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samu SalminenDalibor DvorskySam ColangeloRoman SchmidtMattias Havelid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sasha Pastujov, Ben Jones, Matthew StromeMavrik Bourque, Sasha PastujovMatthew Strome
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Barron, Vyacheslav Vojnov, Mattias HavelidJustin BarronVyacheslav Vojnov, Mattias Havelid
Tirs de pénalité
Mavrik Bourque, Dalibor Dvorsky, Chaz Lucius, Sam Colangelo, Blake Coleman
Gardien
#1 : Jesper Wallstedt, #2 : Kevin Lalande, #3 : Sergei Mursahov
Lignes d’attaque personnalisées en prolongation
Mavrik Bourque, Dalibor Dvorsky, Sasha Pastujov, Chaz Lucius, Martin Chromniak, Sam Colangelo, Sam Colangelo, Frank Nazar, Danila Yurov, Blake Coleman, 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 Canucks2010100056-11010000024-21000100032120.5005914006678659817526926192377131240800.00%60100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
2Bakersfield Condors20200000513-81010000015-41010000048-400.0005914006678659717526926192393241451600.00%8275.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
3Belleville Senators2020000069-31010000045-11010000024-200.0006111700667865978752692619238229831200.00%40100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
4Bridgeport's Islanders2110000068-21010000036-31100000032120.5006101600667865978752692619238125838300.00%4175.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
5Calgary Wranglers21100000712-5110000004311010000039-620.50071017006678659817526926192374264396233.33%2150.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
6Chicago Wolves220000001156110000007431100000041341.000111728006678659827526926192372156424125.00%30100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
7Colorado Eagles22000000954110000005231100000043141.00091423006678659907526926192386298426116.67%4250.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
8Grand Rapids Griffins220000001459110000008261100000063341.0001424380066786597775269261923512512364375.00%70100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
9Hartford Wolfpack200020001192100010006511000100054141.0001119300066786598075269261923973312307342.86%6266.67%0688145047.45%681141648.09%41384548.88%11616881122465918460
10Henderson Silver Knights22000000954110000003121100000064241.000914230066786597175269261923773310274250.00%5180.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
11Hershey Bears20001010862100000104311000100043141.000811190066786598775269261923973016395120.00%8275.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
12Iowa Wild21100000610-4110000004311010000027-520.5006915006678659697526926192386306427114.29%3166.67%0688145047.45%681141648.09%41384548.88%11616881122465918460
13Laval Rocket21100000660110000003211010000034-120.5006101600667865977752692619238533642500.00%30100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
14Lehigh Valley Phantoms11000000431000000000001100000043121.000481200667865942752692619234416426400.00%20100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
15Manitoba Moose22000000734110000004221100000031241.00071320006678659807526926192389271035300.00%5180.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
16Ontario Reign2110000079-21010000026-41100000053220.50079160066786598475269261923702010376233.33%5180.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
17Providence Bruins21100000743110000005141010000023-120.50071320006678659787526926192371331238700.00%50100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
18Rochester Americans2000100110100100010003211000000178-130.7501017270066786597975269261923792014328112.50%70100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
19Rockford IceHogs2100010010821000010056-11100000052330.750101828006678659797526926192369251337400.00%40100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
20San Diego Gulls 220000001257110000008261100000043141.0001217290066786598275269261923702210388225.00%50100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
21San Jose Barracuda220000001046110000007341100000031241.000101525006678659937526926192382328276116.67%40100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
22Springfield Thunderbirds21001000954110000005231000100043141.000914230066786597275269261923882918365240.00%9277.78%0688145047.45%681141648.09%41384548.88%11616881122465918460
23Syracuse Crunch20100100710-31010000035-21000010045-110.25071219106678659697526926192387338527114.29%4175.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
24Texas Stars211000001055110000009271010000013-220.5001017270066786597675269261923843910268112.50%50100.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
25Toronto Marlies21001000633110000003121000100032141.000610160066786597375269261923871910388225.00%5180.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
26Utica Comets21001000853100010003211100000053241.000815230066786597475269261923831810346116.67%5260.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
27Wilkes-Barre/Scranton Penguins21000100871110000003121000010056-130.750811190066786597875269261923683312377114.29%6350.00%0688145047.45%681141648.09%41384548.88%11616881122465918460
Total53271308311218180382615603110114803427127052011041004760.71721835657410667865920817526926192321297112719921542818.18%1342382.84%0688145047.45%681141648.09%41384548.88%11616881122465918460
_Since Last GM Reset53271308311218180382615603110114803427127052011041004760.71721835657410667865920817526926192321297112719921542818.18%1342382.84%0688145047.45%681141648.09%41384548.88%11616881122465918460
_Vs Conference53271308311218180382615603110114803427127052011041004760.71721835657410667865920817526926192321297112719921542818.18%1342382.84%0688145047.45%681141648.09%41384548.88%11616881122465918460
_Vs Division2710606111112902213530301055391614530310157516360.6671121883001066786591052752692619231084362138515771418.18%691282.61%0688145047.45%681141648.09%41384548.88%11616881122465918460

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5376L12183565742081212971127199210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5327138311218180
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26156311011480
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
271275201104100
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1542818.18%1342382.84%0
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
752692619236678659
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
688145047.45%681141648.09%41384548.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11616881122465918460


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 Phantoms-Charlotte Checkers-
131757Charlotte Checkers-San Diego Gulls -
133772Charlotte Checkers-Providence Bruins-
135787Syracuse Crunch-Charlotte Checkers-
136793Lehigh Valley Phantoms-Charlotte Checkers-
139813Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
141825Charlotte Checkers-Colorado Eagles-
144844Texas Stars-Charlotte Checkers-
147861Ontario Reign-Charlotte Checkers-
149875Charlotte Checkers-San Jose Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Charlotte Checkers-Calgary Wranglers-
155913Springfield Thunderbirds-Charlotte Checkers-
159939Charlotte Checkers-Rochester Americans-
161952Charlotte Checkers-Utica Comets-
163968Hershey Bears-Charlotte Checkers-
165979Charlotte Checkers-Iowa Wild-
167991Bridgeport's Islanders-Charlotte Checkers-
1691005Bakersfield Condors-Charlotte Checkers-
1701011Charlotte Checkers-Henderson Silver Knights-
1721022Charlotte Checkers-Chicago Wolves-
1741039Abbotsford's Canucks-Charlotte Checkers-
1761052Charlotte Checkers-Grand Rapids Griffins-
1771056Rockford IceHogs-Charlotte Checkers-
1791071Hartford Wolfpack-Charlotte Checkers-
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
Assistance114,549129,746
Assistance PCT88.11%99.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 9396 - 93.96% 341,291$8,873,555$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,849,340$ 4,000,000$ 3,915,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,684,865$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,119,359$ 65 22,368$ 1,453,920$




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