Connexion

Charlotte Checkers
GP: 71 | W: 49 | L: 18 | OTL: 4 | P: 102
GF: 291 | GA: 242 | PP%: 19.34% | PK%: 80.75%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #1011 vs Henderson Silver Knights
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Centre de jeu
Bridgeport's Islanders
34-29-10, 78pts
2
FINAL
3 Charlotte Checkers
49-18-4, 102pts
Team Stats
OTL1SéquenceW2
19-13-5Fiche domicile27-8-1
15-16-5Fiche domicile22-10-3
3-5-2Derniers 10 matchs6-4-0
3.70Buts par match 4.10
3.85Buts contre par match 3.41
19.27%Pourcentage en avantage numérique19.34%
74.40%Pourcentage en désavantage numérique80.75%
Bakersfield Condors
39-29-4, 82pts
1
FINAL
2 Charlotte Checkers
49-18-4, 102pts
Team Stats
L4SéquenceW2
20-14-2Fiche domicile27-8-1
19-15-2Fiche domicile22-10-3
2-8-0Derniers 10 matchs6-4-0
3.63Buts par match 4.10
3.40Buts contre par match 3.41
18.96%Pourcentage en avantage numérique19.34%
81.48%Pourcentage en désavantage numérique80.75%
Charlotte Checkers
49-18-4, 102pts
Jour 170
Henderson Silver Knights
33-34-6, 72pts
Statistiques d’équipe
W2SéquenceW1
27-8-1Fiche domicile13-21-2
22-10-3Fiche visiteur20-13-4
6-4-010 derniers matchs6-3-1
4.10Buts par match 4.03
3.41Buts contre par match 4.03
19.34%Pourcentage en avantage numérique18.41%
80.75%Pourcentage en désavantage numérique80.81%
Charlotte Checkers
49-18-4, 102pts
Jour 172
Chicago Wolves
26-37-8, 60pts
Statistiques d’équipe
W2SéquenceW1
27-8-1Fiche domicile14-20-2
22-10-3Fiche visiteur12-17-6
6-4-010 derniers matchs4-5-1
4.10Buts par match 3.18
3.41Buts contre par match 3.18
19.34%Pourcentage en avantage numérique23.12%
80.75%Pourcentage en désavantage numérique79.07%
Abbotsford's Canucks
39-28-5, 83pts
Jour 174
Charlotte Checkers
49-18-4, 102pts
Statistiques d’équipe
W4SéquenceW2
19-12-5Fiche domicile27-8-1
20-16-0Fiche visiteur22-10-3
6-3-110 derniers matchs6-4-0
3.68Buts par match 4.10
3.42Buts contre par match 4.10
15.12%Pourcentage en avantage numérique19.34%
83.48%Pourcentage en désavantage numérique80.75%
Meneurs d'équipe
Buts
Sam Colangelo
46
Passes
Dalibor Dvorsky
56
Points
Dalibor Dvorsky
85
Plus/Moins
David Fischer
20
Victoires
Jesper Wallstedt
32
Pourcentage d’arrêts
Jesper Wallstedt
0.917

Statistiques d’équipe
Buts pour
291
4.10 GFG
Tirs pour
2837
39.96 Avg
Pourcentage en avantage numérique
19.3%
41 GF
Début de zone offensive
39.4%
Buts contre
242
3.41 GAA
Tirs contre
2801
39.45 Avg
Pourcentage en désavantage numérique
80.7%%
36 GA
Début de la zone défensive
37.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité10,000
Assistance9,443
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)X98.007341777279686883797974727456619199690183925,000$
3Blake ColemanXXX100.005423898877838375887172546567683899680301750,000$
4Robbie EarlXXX100.004327958775797973787273596684842999680381750,000$
5Sam Colangelo (R)XX98.0073337982797174797769746973343968996702131,100,000$
6Danila Yurov (R)X100.007431797074808081627373707342437999670192925,000$
7Frank Nazar (R)XX100.007231817072808078817173727336437999670192925,000$
8Samu Salminen (R)XX99.007233777075737373797272687250526699650202925,000$
9Chaz Lucius (R)X100.006528767072686872816775717442498099640202925,000$
10Ben Jones (R)X100.006332807375707569806767616859615199640242500,001$
11Matthew Strome (R)X100.006834787080717366536366666864666199640242500,001$
12Martin Chromniak (R)XX100.006836746974656578537170627063505999640213650,000$
13Sasha Pastujov (R)XX100.006934746972656578567371657155506999640203650,000$
14Leevi Aaltonen (R)XX100.006429756768646467546466626955535799600222500,000$
15Anton Johannesson (R)X100.007028787067777783567575687352566399680212925,000$
16David FischerX100.00774177787872755054484673509099309967N0353600,000$
17Dmitri Simashev (R)X100.007541797679737359637066796636389199670183925,000$
18Justin Barron (R)X100.007439736877747660526358746047587399660213850,000$
19Mattias Havelid (R)X99.006831777070757567616972727252667599660192925,000$
20Vyacheslav VojnovX100.005320877874768041544041745093993299650331750,000$
21Roman Schmidt (R)X100.008044667280707257506464736337426599650201500,000$
22Hugo Gabrielson (R)X100.006531796770797969526866626741535799630202650,000$
Rayé
1Boris ValabikX100.007084308884626829483129764095953099640371600,000$
MOYENNE D’ÉQUIPE99.74683576747573746865666668675761629966
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)97.00807984878487878787798263558399670201925,000$
2Kevin Lalande100.0075807576857272828274759189299966N0373750,000$
3Sergei Mursahov (R)100.00808376728385858383808337427299630192650,000$
Rayé
MOYENNE D’ÉQUIPE99.0078817878848181848478806462619965
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau80749195929283CAN665250,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dalibor DvorskyCharlotte Checkers (FLO)C7129568511200107982839417510.25%39136519.23710172916801151368348.98%16153440111.2523000554
2Sam ColangeloCharlotte Checkers (FLO)C/RW714636821314010210430510117015.08%49134118.8959143316810141255446.83%2526830021.2200000952
3Mavrik BourqueCharlotte Checkers (FLO)C70323971-32201011012549017212.60%31116116.598917301550000176348.56%12525522001.2202000535
4Blake ColemanCharlotte Checkers (FLO)C/LW/RW66204262-7404757246861568.13%26108816.492571593000025149.37%795317101.1400000222
5Frank NazarCharlotte Checkers (FLO)C/RW7122315316605034222611179.91%2086512.192138280003253056.25%482615001.2200000312
6Danila YurovCharlotte Checkers (FLO)RW7119274682007964158549712.03%2287112.2700000000002145.24%422518001.0600000213
7Samu SalminenCharlotte Checkers (FLO)C/LW7112294182401116914045898.57%44133718.842572016800041210246.51%2152822000.6101000125
8Sasha PastujovCharlotte Checkers (FLO)LW/RW63191837-3606839132519114.39%2784413.40538161180001293150.00%40269000.8800000302
9Chaz LuciusCharlotte Checkers (FLO)C581518335140695415548799.68%1975312.993361172000021448.02%5563214000.8812000034
10Martin ChromniakCharlotte Checkers (FLO)LW/RW7114173118220543214630869.59%206669.3900000000003143.33%301518000.9300000032
11Anton JohannessonCharlotte Checkers (FLO)D68525302120467012145614.13%87130019.1234724178000024010%02647000.4612000003
12Mattias HavelidCharlotte Checkers (FLO)D71624301924056948347427.23%89141119.88426151690002137100%02245000.4300000003
13Matthew StromeCharlotte Checkers (FLO)LW7114132715120566099315914.14%2696413.590447990001394240.00%801327000.5600000021
14Ben JonesCharlotte Checkers (FLO)C71815231840354175245210.67%156649.3600000000001149.31%4361211000.6900000113
15David FischerCharlotte Checkers (FLO)D67219212022069695335373.77%73126518.892358160000086010%0454000.3300000010
16Robbie EarlCharlotte Checkers (FLO)C/LW/RW621282010041592325913.04%93986.430001210000171050.00%32187001.0001000102
17Roman SchmidtCharlotte Checkers (FLO)D69413171746081685323317.55%93111516.17000000001126210%0854000.3001000000
18Dmitri SimashevCharlotte Checkers (FLO)D7001616927550606733190%52100514.3702212173000051000%0335000.3200100000
19Justin BarronCharlotte Checkers (FLO)D7111415932045504115202.44%6388012.400001110001136000%0235000.3400000000
20Vyacheslav VojnovCharlotte Checkers (FLO)D710131316013493915260%7486712.2200000000044000%0326000.3001000000
21Hugo GabrielsonCharlotte Checkers (FLO)D71235-522022242210119.09%4371410.061011000004000%0224000.1400000000
22Leevi AaltonenCharlotte Checkers (FLO)LW/RW15011040325110%3513.4200002000070050.00%412000.3900000000
23Boris ValabikCharlotte Checkers (FLO)D3101210043101100.00%45016.780000000000000%001000.4000000000
Statistiques d’équipe totales ou en moyenne14632834777601743735127212572792971165110.14%9282098514.3444601042311793112221137452648.43%4681476573230.72413100322943
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)47321230.9173.282798001531843856411.00064751071
2Sergei MursahovCharlotte Checkers (FLO)1210100.9143.13691003641919030001118010
3Kevin LalandeCharlotte Checkers (FLO)147510.9053.828020051538291000.50021348210
Statistiques d’équipe totales ou en moyenne73491840.9143.364292002402800133771871711291


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$102,237$0$0$No925,000$--------No--------
Ben JonesCharlotte Checkers (FLO)C241990-10-04 05:36:20Yes201 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,001$55,263$0$0$No500,001$--------No--------
Blake ColemanCharlotte Checkers (FLO)C/LW/RW301984-11-28 05:53:21No215 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$82,895$0$0$No------------------
Boris ValabikCharlotte Checkers (FLO)D371977-08-06 20:38:02No239 Lbs6 ft5NoNoN/ANoNo1Pro & Farm600,000$66,316$0$0$No------------------
Chaz LuciusCharlotte Checkers (FLO)C201994-08-20 05:00:35Yes177 Lbs6 ft2NoNoTrade2024-01-21NoNo2Pro & Farm925,000$102,237$0$0$No925,000$--------No--------
Dalibor DvorskyCharlotte Checkers (FLO)C181996-08-19 12:13:39Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$102,237$0$0$No925,000$925,000$-------NoNo-------
Danila YurovCharlotte Checkers (FLO)RW191995-09-01 05:11:47Yes183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$102,237$0$0$No925,000$--------No--------
David FischerCharlotte Checkers (FLO)D351979-09-19 10:13:25No208 Lbs6 ft4YesNoN/ANoNo3Pro & Farm600,000$66,316$0$0$No600,000$600,000$-------YesYes-------
Dmitri SimashevCharlotte Checkers (FLO)D181996-08-19 12:14:43Yes201 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$102,237$0$0$No925,000$925,000$-------NoNo-------
Frank NazarCharlotte Checkers (FLO)C/RW191995-09-01 05:13:39Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$102,237$0$0$No925,000$--------No--------
Hugo GabrielsonCharlotte Checkers (FLO)D201994-06-23 03:46:57Yes173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$71,842$0$0$No650,000$--------No--------
Jesper WallstedtCharlotte Checkers (FLO)G201994-09-19 18:41:10Yes217 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$102,237$0$0$No------------------
Justin BarronCharlotte Checkers (FLO)D211993-08-31 22:05:44Yes195 Lbs6 ft5NoNoN/ANoNo3Pro & Farm850,000$93,947$0$0$No850,000$850,000$-------NoNo-------
Kevin LalandeCharlotte Checkers (FLO)G371977-10-20 10:01:29No180 Lbs5 ft11YesNoN/ANoNo3Pro & Farm750,000$82,895$0$0$No750,000$750,000$-------YesYes-------
Leevi AaltonenCharlotte Checkers (FLO)LW/RW221992-06-23 04:13:57Yes177 Lbs5 ft9NoNoN/ANoNo2Pro & Farm500,000$55,263$0$0$No500,000$--------No--------
Martin ChromniakCharlotte Checkers (FLO)LW/RW211993-06-18 03:59:00Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm650,000$71,842$0$0$No650,000$650,000$-------NoNo-------
Matthew StromeCharlotte Checkers (FLO)LW241990-10-04 05:51:19Yes217 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,001$55,263$0$0$No500,001$--------No--------
Mattias HavelidCharlotte Checkers (FLO)D191995-09-01 05:15:31Yes174 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$102,237$0$0$No925,000$--------No--------
Mavrik BourqueCharlotte Checkers (FLO)C211993-08-29 07:57:17Yes191 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$102,237$0$0$No------------------
Robbie EarlCharlotte Checkers (FLO)C/LW/RW381976-08-06 14:38:02No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$82,895$0$0$No------------------
Roman SchmidtCharlotte Checkers (FLO)D201994-09-19 18:16:07Yes213 Lbs6 ft7NoNoN/ANoNo1Pro & Farm500,000$55,263$0$0$No------------------
Sam ColangeloCharlotte Checkers (FLO)C/RW211993-08-31 21:05:18Yes217 Lbs6 ft4NoNoN/ANoNo3Pro & Farm1,100,000$121,579$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$102,237$0$0$No925,000$--------No--------
Sasha PastujovCharlotte Checkers (FLO)LW/RW201994-09-13 10:30:12Yes187 Lbs6 ft1NoNoTrade2024-01-21NoNo3Pro & Farm650,000$71,842$0$0$No650,000$650,000$-------NoNo-------
Sergei MursahovCharlotte Checkers (FLO)G191995-09-01 05:17:06Yes170 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$71,842$0$0$No650,000$--------No--------
Vyacheslav VojnovCharlotte Checkers (FLO)D331981-10-05 16:08:49No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$82,895$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 JonesRobbie Earl20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohannessonRoman Schmidt30122
2David FischerMattias Havelid30122
3Justin BarronDmitri Simashev20122
4Vyacheslav VojnovHugo Gabrielson20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Frank NazarMatthew StromeChaz Lucius50122
2Samu 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 SalminenFrank Nazar50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronRoman Schmidt50122
2Dmitri SimashevMattias Havelid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dalibor Dvorsky50122Justin BarronDmitri Simashev50122
2Chaz Lucius50122Hugo GabrielsonMattias Havelid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloDalibor Dvorsky50122
2Samu SalminenMartin Chromniak50122
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
Robbie Earl, Ben Jones, Matthew StromeDalibor Dvorsky, Leevi AaltonenMatthew Strome
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Barron, Vyacheslav Vojnov, Mattias HavelidJustin BarronVyacheslav Vojnov, Mattias Havelid
Tirs de pénalité
Samu Salminen, Dalibor Dvorsky, Chaz Lucius, Sam Colangelo, Frank Nazar
Gardien
#1 : Jesper Wallstedt, #2 : Kevin Lalande, #3 : Sergei Mursahov
Lignes d’attaque personnalisées en prolongation
Robbie Earl, Dalibor Dvorsky, Ben Jones, Chaz Lucius, Martin Chromniak, Sam Colangelo, Sam Colangelo, Frank Nazar, Danila Yurov, Matthew Strome, Samu Salminen
Lignes de défense personnalisées en prolongation
Hugo Gabrielson, Roman Schmidt, Anton Johannesson, Mattias Havelid, Justin Barron


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford's Canucks2010100056-11010000024-21000100032120.500591400901028712819809608752977131240800.00%60100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
2Bakersfield Condors31200000714-72110000036-31010000048-420.3337132000901028712109980960875291293824651218.33%13284.62%0920196146.91%931187849.57%563114149.34%156693014966261231618
3Belleville Senators2020000069-31010000045-11010000024-200.000611170090102871278980960875298229831200.00%40100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
4Bridgeport's Islanders31100010910-12010001068-21100000032140.667914230090102871212098096087529125401848500.00%9188.89%0920196146.91%931187849.57%563114149.34%156693014966261231618
5Calgary Wranglers31200000917-81100000043120200000514-920.3339142300901028712135980960875299636126310220.00%6433.33%0920196146.91%931187849.57%563114149.34%156693014966261231618
6Chicago Wolves220000001156110000007431100000041341.00011172800901028712829809608752972156424125.00%30100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
7Colorado Eagles321000001112-11100000052321100000610-440.66711172800901028712129980960875291254814589222.22%7357.14%0920196146.91%931187849.57%563114149.34%156693014966261231618
8Grand Rapids Griffins220000001459110000008261100000063341.000142438009010287127798096087529512512364375.00%70100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
9Hartford Wolfpack200020001192100010006511000100054141.000111930009010287128098096087529973312307342.86%6266.67%0920196146.91%931187849.57%563114149.34%156693014966261231618
10Henderson Silver Knights22000000954110000003121100000064241.00091423009010287127198096087529773310274250.00%5180.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
11Hershey Bears301010101114-320100010711-41000100043140.667111627009010287121329809608752912936225910110.00%11463.64%0920196146.91%931187849.57%563114149.34%156693014966261231618
12Iowa Wild312000001015-51100000043120200000612-620.333101626009010287121099809608752912949166011327.27%8362.50%0920196146.91%931187849.57%563114149.34%156693014966261231618
13Laval Rocket21100000660110000003211010000034-120.500610160090102871277980960875298533642500.00%30100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
14Lehigh Valley Phantoms330000001275220000008441100000043161.00012223400901028712122980960875291203714549111.11%7271.43%0920196146.91%931187849.57%563114149.34%156693014966261231618
15Manitoba Moose22000000734110000004221100000031241.0007132000901028712809809608752989271035300.00%5180.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
16Ontario Reign31200000914-520200000411-71100000053220.3339132200901028712117980960875291023420598225.00%10190.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
17Providence Bruins311010001174110000005142010100066040.66711213200901028712118980960875291134518551000.00%8187.50%0920196146.91%931187849.57%563114149.34%156693014966261231618
18Rochester Americans31001001151141000100032121000001129350.833152540009010287121219809608752911324145012216.67%70100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
19Rockford IceHogs2100010010821000010056-11100000052330.75010182800901028712799809608752969251337400.00%40100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
20San Diego Gulls 3300000016610110000008262200000084461.00016244000901028712120980960875291293216559222.22%80100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
21San Jose Barracuda330000001688110000007342200000095461.00016264200901028712132980960875291254412399222.22%60100.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
22Springfield Thunderbirds3200100015872200000011561000100043161.00015264100901028712121980960875291204124538337.50%12375.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
23Syracuse Crunch3110010013130211000009811000010045-130.50013223510901028712110980960875291194312669222.22%6183.33%0920196146.91%931187849.57%563114149.34%156693014966261231618
24Texas Stars3210000015872200000014591010000013-240.667152641009010287121179809608752911747124611218.18%6183.33%0920196146.91%931187849.57%563114149.34%156693014966261231618
25Toronto Marlies21001000633110000003121000100032141.00061016009010287127398096087529871910388225.00%5180.00%0920196146.91%931187849.57%563114149.34%156693014966261231618
26Utica Comets31002000141041000100032121001000118361.00014253900901028712128980960875291233014479333.33%7271.43%0920196146.91%931187849.57%563114149.34%156693014966261231618
27Wilkes-Barre/Scranton Penguins320001001394220000008351000010056-150.833131831009010287121199809608752910148166012216.67%8362.50%1920196146.91%931187849.57%563114149.34%156693014966261231618
Total713718010321291242493622803120154111433515100720113713161020.71829148377410901028712283798096087529280192437712952124119.34%1873680.75%1920196146.91%931187849.57%563114149.34%156693014966261231618
_Since Last GM Reset713718010321291242493622803120154111433515100720113713161020.71829148377410901028712283798096087529280192437712952124119.34%1873680.75%1920196146.91%931187849.57%563114149.34%156693014966261231618
_Vs Conference713718010321291242493622803120154111433515100720113713161020.71829148377410901028712283798096087529280192437712952124119.34%1873680.75%1920196146.91%931187849.57%563114149.34%156693014966261231618
_Vs Division361470812115211834198403020805822176305101726012500.6941522544061090102871214379809608752914174571826581062018.87%911781.32%1920196146.91%931187849.57%563114149.34%156693014966261231618

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
71102W229148377428372801924377129510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
71371810321291242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362283120154111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3515107201137131
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2124119.34%1873680.75%1
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
98096087529901028712
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
920196146.91%931187849.57%563114149.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156693014966261231618


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
11Charlotte Checkers2Providence Bruins3ALSommaire du match
215Texas Stars2Charlotte Checkers9BWSommaire du match
534Hartford Wolfpack5Charlotte Checkers6BWXSommaire du match
747Belleville Senators5Charlotte Checkers4BLSommaire du match
852Charlotte Checkers7Rochester Americans8ALXXSommaire du match
1169Chicago Wolves4Charlotte Checkers7BWSommaire du match
1274Charlotte Checkers3Laval Rocket4ALSommaire du match
1491Charlotte Checkers4Hershey Bears3AWXSommaire du match
17102San Diego Gulls 2Charlotte Checkers8BWSommaire du match
23134Charlotte Checkers3Calgary Wranglers9ALSommaire du match
25150Charlotte Checkers4Bakersfield Condors8ALSommaire du match
27161Charlotte Checkers2Iowa Wild7ALSommaire du match
30179Grand Rapids Griffins2Charlotte Checkers8BWSommaire du match
32190Ontario Reign6Charlotte Checkers2BLSommaire du match
34197Toronto Marlies1Charlotte Checkers3BWSommaire du match
36214Charlotte Checkers5Rockford IceHogs2AWSommaire du match
38226Charlotte Checkers5Utica Comets3AWSommaire du match
39233Bridgeport's Islanders6Charlotte Checkers3BLSommaire du match
43256Abbotsford's Canucks4Charlotte Checkers2BLSommaire du match
45265Charlotte Checkers4Colorado Eagles3AWSommaire du match
46274Charlotte Checkers4Springfield Thunderbirds3AWXSommaire du match
50298Henderson Silver Knights1Charlotte Checkers3BWSommaire du match
52307Colorado Eagles2Charlotte Checkers5BWSommaire du match
55324Rockford IceHogs6Charlotte Checkers5BLXSommaire du match
57339Charlotte Checkers4Lehigh Valley Phantoms3AWSommaire du match
59348Charlotte Checkers4Syracuse Crunch5ALXSommaire du match
60356Charlotte Checkers4San Diego Gulls 3AWSommaire du match
63374Wilkes-Barre/Scranton Penguins1Charlotte Checkers3BWSommaire du match
64378Hershey Bears3Charlotte Checkers4BWXXSommaire du match
66389Charlotte Checkers1Texas Stars3ALSommaire du match
69406Laval Rocket2Charlotte Checkers3BWSommaire du match
70409Utica Comets2Charlotte Checkers3BWXSommaire du match
73429San Jose Barracuda3Charlotte Checkers7BWSommaire du match
76445Charlotte Checkers2Belleville Senators4ALSommaire du match
77452Charlotte Checkers3Manitoba Moose1AWSommaire du match
79466Rochester Americans2Charlotte Checkers3BWXSommaire du match
83487Iowa Wild3Charlotte Checkers4BWSommaire du match
86507Charlotte Checkers6Grand Rapids Griffins3AWSommaire du match
89522Charlotte Checkers3Bridgeport's Islanders2AWSommaire du match
92538Charlotte Checkers3Abbotsford's Canucks2AWXSommaire du match
94549Springfield Thunderbirds2Charlotte Checkers5BWSommaire du match
97569Charlotte Checkers5Ontario Reign3AWSommaire du match
100585Charlotte Checkers5Hartford Wolfpack4AWXSommaire du match
103605Charlotte Checkers4Chicago Wolves1AWSommaire du match
105617Bakersfield Condors5Charlotte Checkers1BLSommaire du match
108631Charlotte Checkers5Wilkes-Barre/Scranton Penguins6ALXSommaire du match
111651Charlotte Checkers3Toronto Marlies2AWXSommaire du match
113658Charlotte Checkers3San Jose Barracuda1AWSommaire du match
115672Manitoba Moose2Charlotte Checkers4BWSommaire du match
117686Calgary Wranglers3Charlotte Checkers4BWSommaire du match
119697Charlotte Checkers6Henderson Silver Knights4AWSommaire du match
123721Providence Bruins1Charlotte Checkers5BWSommaire du match
125730Syracuse Crunch5Charlotte Checkers3BLSommaire du match
128748Lehigh Valley Phantoms2Charlotte Checkers4BWSommaire du match
131757Charlotte Checkers4San Diego Gulls 1AWSommaire du match
133772Charlotte Checkers4Providence Bruins3AWXSommaire du match
135787Syracuse Crunch3Charlotte Checkers6BWSommaire du match
136793Lehigh Valley Phantoms2Charlotte Checkers4BWSommaire du match
139813Wilkes-Barre/Scranton Penguins2Charlotte Checkers5BWSommaire du match
141825Charlotte Checkers2Colorado Eagles7ALSommaire du match
144844Texas Stars3Charlotte Checkers5BWSommaire du match
147861Ontario Reign5Charlotte Checkers2BLSommaire du match
149875Charlotte Checkers6San Jose Barracuda4AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Charlotte Checkers2Calgary Wranglers5ALSommaire du match
155913Springfield Thunderbirds3Charlotte Checkers6BWSommaire du match
159939Charlotte Checkers5Rochester Americans1AWSommaire du match
161952Charlotte Checkers6Utica Comets5AWXSommaire du match
163968Hershey Bears8Charlotte Checkers3BLSommaire du match
165979Charlotte Checkers4Iowa Wild5ALSommaire du match
167991Bridgeport's Islanders2Charlotte Checkers3BWXXSommaire du match
1691005Bakersfield Condors1Charlotte Checkers2BWSommaire du match
1701011Charlotte 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
Assistance160,215179,746
Assistance PCT89.01%99.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 9443 - 94.43% 343,682$12,372,537$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,818,328$ 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$ 3,595,977$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,718,408$ 21 22,368$ 469,728$




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