Day : 95
WPG - 2
UTA - 4
DAL - 3
OTT - 7
LOS - 4
BUF - 3
SJS - 3
CAR - 2
TOR - 3
TBL - 0
CLB - 4
WSH - 8
VAN - 4
PHI - 2
ANH - 3
NJD - 4
MIN - 2
NYR - 3
FLA - 3
PIT - 2
GRG - 2
SAR - 5
PRO - 6
NOR - 1
HAM - 3
GAT - 2
CTW - 6
SJS - 5
Day : 96
(20-23-1) - L2
(9-33-5) - L2
(34-10-2) - W2
(22-21-4) - L2
(27-16-3) - L2
(10-34-4) - L2
(23-20-4) - W4
(33-6-3) - W2
(19-23-3) - L2
(14-27-1) - L3
(15-23-7) - W3
(24-17-2) - W2
(25-15-7) - OTL1
(25-14-5) - W1
(24-19-3) - L1
(14-26-4) - L1
(25-17-3) - OTL1
(31-8-5) - W5
(24-18-6) - W3
(28-15-2) - W4
(26-12-1) - W1
(26-18-2) - L1
(25-11-5) - W1
(25-19-6) - L2
(26-19-2) - W3
(26-14-3) - W1
(31-6-6) - L1
(31-27-1) - L1
(26-10-6) - W2
(26-19-4) - W2
(31-7-4) - W8
(31-11-4) - L3
(27-12-1) - W2
(27-18-5) - OTL1
(16-26-4) - L1
(16-19-2) - L1
(15-22-4) - W1
(15-23-4) - L1
(16-20-5) - W1
(16-30-0) - W1
(14-26-4) - L1
(14-19-1) - W1

Charlotte Checkers
GP: 42 | W: 26 | L: 10 | OTL: 6 | P: 58
GF: 179 | GA: 134 | PP%: 24.70% | PK%: 81.25%
DG: Mathieu Richard | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #710 vs Binghamton Senators
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Centre de jeu
Charlotte Checkers
26-10-6, 58pts
5
FINAL
2 Danbury Trashers
16-20-5, 37pts
Team Stats
W2SéquenceW1
13-5-3Fiche domicile10-9-3
13-5-3Fiche domicile6-11-2
7-1-2Derniers 10 matchs4-6-0
4.26Buts par match 3.39
3.19Buts contre par match 3.88
24.70%Pourcentage en avantage numérique19.05%
81.25%Pourcentage en désavantage numérique77.69%
Norfolk Admirals
14-24-4, 32pts
2
FINAL
10 Charlotte Checkers
26-10-6, 58pts
Team Stats
L5SéquenceW2
7-13-2Fiche domicile13-5-3
7-11-2Fiche domicile13-5-3
2-8-0Derniers 10 matchs7-1-2
3.02Buts par match 4.26
4.19Buts contre par match 3.19
17.14%Pourcentage en avantage numérique24.70%
70.00%Pourcentage en désavantage numérique81.25%
Charlotte Checkers
26-10-6, 58pts
Jour 96
Binghamton Senators
19-19-4, 42pts
Statistiques d’équipe
W2SéquenceW2
13-5-3Fiche domicile12-8-1
13-5-3Fiche visiteur7-11-3
7-1-210 derniers matchs4-5-1
4.26Buts par match 3.57
3.19Buts contre par match 3.57
24.70%Pourcentage en avantage numérique16.06%
81.25%Pourcentage en désavantage numérique78.52%
Chicago Wolves
20-20-2, 42pts
Jour 97
Charlotte Checkers
26-10-6, 58pts
Statistiques d’équipe
W2SéquenceW2
11-9-2Fiche domicile13-5-3
9-11-0Fiche visiteur13-5-3
4-6-010 derniers matchs7-1-2
3.12Buts par match 4.26
3.79Buts contre par match 4.26
15.22%Pourcentage en avantage numérique24.70%
72.85%Pourcentage en désavantage numérique81.25%
Manitoba Moose
15-22-4, 34pts
Jour 99
Charlotte Checkers
26-10-6, 58pts
Statistiques d’équipe
W1SéquenceW2
10-10-2Fiche domicile13-5-3
5-12-2Fiche visiteur13-5-3
3-6-110 derniers matchs7-1-2
3.63Buts par match 4.26
4.39Buts contre par match 4.26
25.55%Pourcentage en avantage numérique24.70%
76.60%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Buts
Dmitri Voronkov
24
Passes
Vincent Trocheck
32
Points
Vincent Trocheck
53
Plus/Moins
Josh Bailey
18
Victoires
Mikko Koskinen
18
Pourcentage d’arrêts
Mikko Koskinen
0.904

Statistiques d’équipe
Buts pour
179
4.26 GFG
Tirs pour
1374
32.71 Avg
Pourcentage en avantage numérique
24.7%
41 GF
Début de zone offensive
38.1%
Buts contre
134
3.19 GAA
Tirs contre
1314
31.29 Avg
Pourcentage en désavantage numérique
81.3%%
21 GA
Début de la zone défensive
35.8%
Informations de l'équipe

Directeur généralMathieu Richard
EntraîneurMarc Crawford
DivisionGionta
ConférenceFortunus
CapitaineJosh Bailey
Assistant #1Vincent Trocheck
Assistant #2Connor Dewar


Informations de l’aréna

Capacité3,000
Assistance1,217
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs38


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 moyen
1Connor Dewar (R) (A)XX100.00794082837784857972737373717382650002521,200,000$
2Nikita Grebyonkin (R)XX100.0066309779738181786674716675686765000212900,000$
3Josh Bailey (C)XXX100.007135927878818276857473737699991500N03531,900,000$
4Dmitri Voronkov (R)XX100.0080407779818484797775747176717265000241925,000$
5Amir Garayev (R)X100.00663079796982858073747369767169650002321,400,000$
6Egor Afanasyev (R)X100.0077307377837782817274756579757065000233900,000$
7Vincent Trocheck (A)XX100.007735908679868681797574688099991500N03142,000,000$
8Greg McKeggXXX100.007230928079818078767372737598941500N03132,000,000$
9Joachim NermarkX100.007125948581838178767473747393911500N03132,000,000$
10Jujhar KhairaXX100.008740827882767277747373717279791500N03031,500,000$
11Clark BishopX100.008030918082837879767374737274785500N02832,000,000$
12Mathias FromXX100.007635948582837679607474717472706500N02742,000,000$
13Johannes KinnvallX100.00763090767783797950756887667473650002741,400,000$
14Ben Mirageas (R)X100.00774083757881807650726288566770650002521,000,000$
15Jakob StenqvistX100.00763585807783787750756586667372650002611,400,000$
16Artyom Minulin (R)X100.00783079788282807863746286657671650002611,400,000$
17Andreas BorgmanX100.009143757885827678507667906272716500N02932,000,000$
18Guillaume BriseboisX100.00743785798084838050756888667473650002711,800,000$
Rayé
1Cédric Paré (R)X100.0074257577848181777472716676767255000251875,000$
2Andrew NielsenX79.199145767592808177507668906574776500N02842,000,000$
3Sami NikuX100.00703381837580768450766983697271650002811,600,000$
MOYENNE D’ÉQUIPE99.007734848080828079657470777178775500
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 moyen
1Mikko Koskinen100.00838583979088888887908886811500N03621,950,000$
2Jack Lafontaine100.0086848586898888878888856767850002641,800,000$
Rayé
1Yegor Zavragin (R)100.008183828583818081818183606385000193800,000$
2James Reimer100.0085858788888989868789889999150003621,400,000$
MOYENNE D’ÉQUIPE100.00848484898887868686878678785500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford83848283868270CAN6311,500,000$


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 POSGP 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
1Vincent TrocheckC/RW4221325312405736141468114.89%1677018.356121831139000033154.84%682929001.3801000461
2Amir GarayevC4217304771803643105217216.19%1167015.97691523116000002142.75%5175310111.4000000332
3Mathias FromLW/RW4219284714003229111467717.12%2072817.35246181200000222130.77%265415001.2900000316
4Dmitri VoronkovC/LW4224174162805728117296620.51%970116.70671324115000014052.94%518210021.1700000523
5Egor AfanasyevLW42241539142957326113425721.24%1170916.89941330144000004155.17%295010011.1001000351
6Josh BaileyC/LW/RW42927361840274775173812.00%1976418.19145157511261363056.03%3983112000.9400000024
7Clark BishopC4071825-260351860254511.67%1250612.6642612350112561050.00%146307100.9900000011
8Joachim NermarkC42111223020232779284813.92%1253512.740441280114373150.18%2734010000.8600000121
9Nikita GrebyonkinLW/RW365162170018276221408.06%1051514.322461092000010053.13%32245000.8100000100
10Grigori DenisenkoLW23812207260331772305511.11%541518.081451676000001060.00%20496000.9600000011
11Johannes KinnvallD3381119-4100205953162215.09%4567920.61369985000046100.00%0330000.5600000011
12Andrew NielsenD42314171634085845025326.00%6382419.6200018000195000.00%0347000.4100000000
13Andreas BorgmanD4241115930078884822158.33%7278718.7600017101365110.00%0151000.3800000100
14Jujhar KhairaC/LW4259144120732150204010.00%1357013.57044770000010148.65%148249000.4900000100
15Connor DewarC/LW426713-84046226427499.38%542210.06000050001400041.67%12324000.6200000120
16Guillaume BriseboisD193912124017382721611.11%2442422.34112758011135000.00%0219000.5700000020
17Greg McKeggC/LW/RW264711-420151434102611.76%1238214.70011091014841057.89%19232000.5801000102
18Jakob StenqvistD421671012031574522192.22%3066615.86000327000016000.00%0138000.2100000011
19Artyom MinulinD42066710042733615180.00%5665615.6200001000048000.00%0133000.1800000000
20Ben MirageasD80228004197450.00%1114017.6000000000019000.00%018000.2800000000
21Cédric ParéC9000000000000.00%010.210000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne7401792894681332355802773134948781113.27%4561187416.05416610720812183472271326750.83%2353596335240.7903000242924
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
1Mikko KoskinenCharlotte Checkers (CAR)2818640.9042.9216620081840437200.6673287211
2James ReimerCharlotte Checkers (CAR)105320.9033.286040033339187110.00001013100
3Jack LafontaineCharlotte Checkers (CAR)43100.8843.53238001412167000.000042000
4Yegor ZavraginCharlotte Checkers (CAR)10000.6928.8927004137100.0000020000
Statistiques d’équipe totales ou en moyenne43261060.8993.1325320013213136984134242311


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029Année 2030
Attaquant
Amir GarayevC232001-01-02TW 20.00%1,400,000$1,400,000$RFA ( Groupe: 2 ) [Age: 25]
Clark BishopC281996-01-22NT TW 30.00%2,000,000$2,000,000$2,000,000$UFA [Age: 31]
Connor DewarC/LW251999-01-02TW 20.00%1,200,000$1,200,000$RFA ( Groupe: 2 ) [Age: 27]
Cédric ParéC251999-01-02TW 10.00%875,000$RFA ( Groupe: 2 ) [Age: 26]
Dmitri VoronkovC/LW242000-01-02TW 10.00%925,000$RFA ( Groupe: 2 ) [Age: 25]
Egor AfanasyevLW232001-01-02TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Greg McKeggC/LW/RW311993-01-22NT TW 30.00%2,000,000$2,000,000$2,000,000$UFA [Age: 34]
Joachim NermarkC311993-01-22NT TW 30.00%2,000,000$2,000,000$2,000,000$UFA [Age: 34]
Josh BaileyC/LW/RW351989-01-22NT TW 30.00%1,900,000$1,900,000$1,900,000$UFA [Age: 38]
Jujhar KhairaC/LW301994-01-22NT TW 30.00%1,500,000$1,500,000$1,500,000$UFA [Age: 33]
Mathias FromLW/RW271997-01-22NT TW 40.00%2,000,000$2,000,000$2,000,000$2,000,000$UFA [Age: 31]
Nikita GrebyonkinLW/RW212003-01-02TW 20.00%900,000$900,000$RFA ( Groupe: 1 )[Age: 23]
Vincent TrocheckC/RW311993-01-22NT TW 40.00%2,000,000$2,000,000$2,000,000$2,000,000$UFA [Age: 35]
MOYENNE (13)27.230.00%0$17,800,000$14,300,000$4,000,000$0$0$0$
Défenseur
Andreas BorgmanD291995-01-22NT TW 30.00%2,000,000$2,000,000$2,000,000$UFA [Age: 32]
Andrew NielsenD281996-01-22NT IN TW 40.00%2,000,000$2,000,000$2,000,000$2,000,000$UFA [Age: 32]
Artyom MinulinD261998-01-02TW 10.00%1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Ben MirageasD251999-01-02TW 20.00%1,000,000$1,000,000$RFA ( Groupe: 2 ) [Age: 27]
Guillaume BriseboisD271997-01-22TW 10.00%1,800,000$UFA [Age: 28]
Jakob StenqvistD261998-01-02TW 10.00%1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Johannes KinnvallD271997-01-22TW 40.00%1,400,000$1,400,000$1,400,000$1,400,000$UFA [Age: 31]
Sami NikuD281996-01-22TW 10.00%1,600,000$UFA [Age: 29]
MOYENNE (8)27.000.00%0$6,400,000$5,400,000$3,400,000$0$0$0$
Gardiens
Jack LafontaineG261998-01-22TW 40.00%1,800,000$1,800,000$1,800,000$1,800,000$UFA [Age: 30]
James ReimerG361988-01-22TW 20.00%1,400,000$1,400,000$UFA [Age: 38]
Mikko KoskinenG361988-01-02NT TW 20.00%1,950,000$1,950,000$UFA [Age: 38]
Yegor ZavraginG192005-01-02TW 30.00%800,000$800,000$800,000$RFA ( Groupe: 1 )[Age: 22]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 89,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Egor AfanasyevVincent TrocheckNikita Grebyonkin31014
2Dmitri VoronkovAmir GarayevJosh Bailey30014
3Jujhar KhairaClark BishopMathias From29014
4Connor DewarJoachim NermarkGreg McKegg10032
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Johannes KinnvallAndreas Borgman37032
2Guillaume BriseboisBen Mirageas35032
3Jakob StenqvistArtyom Minulin28032
4Ben MirageasAndreas Borgman0122
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Egor AfanasyevVincent TrocheckNikita Grebyonkin60005
2Dmitri VoronkovAmir GarayevJosh Bailey40005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Johannes KinnvallMathias From60014
2Guillaume BriseboisClark Bishop40014
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Joachim NermarkGreg McKegg60041
2Connor DewarJujhar Khaira40041
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Ben MirageasArtyom Minulin60041
2Andreas BorgmanJakob Stenqvist40041
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Joachim Nermark60050Ben MirageasArtyom Minulin60050
2Connor Dewar40050Andreas BorgmanJakob Stenqvist40050
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Vincent TrocheckEgor Afanasyev60023
2Amir GarayevDmitri Voronkov40023
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Johannes KinnvallAndreas Borgman60032
2Guillaume BriseboisBen Mirageas40032
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Egor AfanasyevVincent TrocheckMathias FromJohannes KinnvallGuillaume Brisebois
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Connor DewarJoachim NermarkGreg McKeggBen MirageasAndreas Borgman
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Amir Garayev, Egor Afanasyev, Dmitri VoronkovJoachim Nermark, Jujhar KhairaClark Bishop
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Artyom Minulin, Guillaume Brisebois, Jakob StenqvistArtyom MinulinGuillaume Brisebois, Jakob Stenqvist
Tirs de pénalité
Vincent Trocheck, Egor Afanasyev, Dmitri Voronkov, Amir Garayev, Josh Bailey
Gardien
#1 : Jack Lafontaine, #2 : Mikko Koskinen
Lignes d’attaque personnalisées en prolongation
Vincent Trocheck, Egor Afanasyev, Amir Garayev, Dmitri Voronkov, Clark Bishop, Mathias From, Mathias From, Josh Bailey, Nikita Grebyonkin, Joachim Nermark, Jujhar Khaira
Lignes de défense personnalisées en prolongation
Johannes Kinnvall, Guillaume Brisebois, Ben Mirageas, Andreas Borgman, Artyom Minulin


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
1Albany Devils1010000024-21010000024-20000000000000.00023500605959134488443434122711830100.00%40100.00%044489149.83%44483753.05%30860850.66%982640916333636322
2Binghamton Senators2200000014950000000000022000000149541.0001422360060595917048844343412682984010330.00%4175.00%044489149.83%44483753.05%30860850.66%982640916333636322
3Blainville-Boisbriand Armada11000000927110000009270000000000021.000916250060595913848844343412308625400.00%3166.67%144489149.83%44483753.05%30860850.66%982640916333636322
4Bridgeport Sound Tigers421010001812642101000181260000000000060.750182947106059591140488443434129936207822522.73%10190.00%044489149.83%44483753.05%30860850.66%982640916333636322
5Connecticut Whale11000000532110000005320000000000021.00058130060595913348844343412296217200.00%10100.00%044489149.83%44483753.05%30860850.66%982640916333636322
6Danbury Trashers22000000945110000004221100000052341.0009182700605959171488443434124019633300.00%3166.67%144489149.83%44483753.05%30860850.66%982640916333636322
7Grand Rapids Griffins11000000413110000004130000000000021.00045900605959127488443434122117424200.00%20100.00%044489149.83%44483753.05%30860850.66%982640916333636322
8Hamilton Bulldogs2110000078-1000000000002110000078-120.5007111800605959180488443434126919832700.00%3166.67%044489149.83%44483753.05%30860850.66%982640916333636322
9Henderson Silver Knights320000011275210000019631100000031250.83312193100605959193488443434129533186411327.27%9188.89%044489149.83%44483753.05%30860850.66%982640916333636322
10Lake Erie Monsters1000010034-1000000000001000010034-110.500358006059591404884434341226128147114.29%40100.00%044489149.83%44483753.05%30860850.66%982640916333636322
11Laval Chiefs32000100862000000000003200010086250.83381422006059591103488443434129744146015320.00%7185.71%044489149.83%44483753.05%30860850.66%982640916333636322
12Manitoba Moose220000001248110000007341100000051441.0001219310060595916648844343412612214394375.00%7185.71%044489149.83%44483753.05%30860850.66%982640916333636322
13Milwaukee Admirals11000000431110000004310000000000021.0004711006059591274884434341231106184125.00%30100.00%044489149.83%44483753.05%30860850.66%982640916333636322
14Norfolk Admirals32000100181082100010014771100000043150.83318325000605959197488443434129936315214750.00%9188.89%144489149.83%44483753.05%30860850.66%982640916333636322
15Providence Bruins211000006601010000034-11100000032120.500611170060595915848844343412692712408337.50%6266.67%044489149.83%44483753.05%30860850.66%982640916333636322
16Roberval Dwarfs2200000011290000000000022000000112941.0001119300060595916248844343412672044011327.27%2150.00%044489149.83%44483753.05%30860850.66%982640916333636322
17Rochester Americans413000001625-91010000035-2312000001320-720.250162339006059591114488443434121635640689222.22%20765.00%044489149.83%44483753.05%30860850.66%982640916333636322
18San Antonio Rampage2020000058-31010000034-11010000024-200.00058130060595916448844343412653084113323.08%40100.00%044489149.83%44483753.05%30860850.66%982640916333636322
19San Jose Barracuda2000020068-21000010012-11000010056-120.50061117006059591714884434341265316429222.22%2150.00%044489149.83%44483753.05%30860850.66%982640916333636322
20Springfield Falcons11000000633110000006330000000000021.000611170060595913248844343412319421100.00%20100.00%044489149.83%44483753.05%30860850.66%982640916333636322
21Trois-Rivières Lions1010000014-3000000000001010000014-300.00011200605959127488443434123686294125.00%30100.00%044489149.83%44483753.05%30860850.66%982640916333636322
22Wilkes-Barre/Scranton Penguins11000000312110000003120000000000021.000358006059591274884434341226148235120.00%4175.00%044489149.83%44483753.05%30860850.66%982640916333636322
Total422510015011791344521125012019562332113500300847212580.69017929747610605959113744884434341213144972418301664124.70%1122181.25%344489149.83%44483753.05%30860850.66%982640916333636322
_Since Last GM Reset422510015011791344521125012019562332113500300847212580.69017929747610605959113744884434341213144972418301664124.70%1122181.25%344489149.83%44483753.05%30860850.66%982640916333636322
_Vs Conference2815801301118952318950120178562210630010040391360.643118197315106059591900488443434128693301775481022928.43%811680.25%244489149.83%44483753.05%30860850.66%982640916333636322

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
4258W21792974761374131449724183010
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
4225101501179134
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
2112512019562
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
2113503008472
Derniers 10 matchs
W L OTW OTL SOWSOL
710200
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
1664124.70%1122181.25%3
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
488443434126059591
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
44489149.83%44483753.05%30860850.66%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
982640916333636322


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
Jour:1
111Charlotte Checkers2Laval Chiefs1WSommaire du match
Jour:2
221Charlotte Checkers6Binghamton Senators4WSommaire du match
Jour:4
429Bridgeport Sound Tigers3Charlotte Checkers4WXSommaire du match
Jour:8
853Charlotte Checkers2Hamilton Bulldogs5LSommaire du match
Jour:9
965Wilkes-Barre/Scranton Penguins1Charlotte Checkers3WSommaire du match
Jour:12
1282Bridgeport Sound Tigers3Charlotte Checkers6WSommaire du match
Jour:16
16107Charlotte Checkers3Laval Chiefs4LXSommaire du match
Jour:17
17116Charlotte Checkers3Rochester Americans9LSommaire du match
Jour:19
19128Blainville-Boisbriand Armada2Charlotte Checkers9WSommaire du match
Jour:22
22152Grand Rapids Griffins1Charlotte Checkers4WSommaire du match
Jour:23
23165Charlotte Checkers5Hamilton Bulldogs3WSommaire du match
Jour:25
25183Bridgeport Sound Tigers2Charlotte Checkers6WSommaire du match
Jour:27
27203Charlotte Checkers3Rochester Americans6LSommaire du match
Jour:28
28218San Antonio Rampage4Charlotte Checkers3LSommaire du match
Jour:30
30234Charlotte Checkers7Rochester Americans5WSommaire du match
Jour:32
32250Rochester Americans5Charlotte Checkers3LSommaire du match
Jour:38
38279Henderson Silver Knights3Charlotte Checkers2LXXSommaire du match
Jour:40
40293Charlotte Checkers4Roberval Dwarfs1WSommaire du match
Jour:41
41309Norfolk Admirals5Charlotte Checkers4LXSommaire du match
Jour:44
44330Charlotte Checkers5San Jose Barracuda6LXSommaire du match
Jour:45
45342Charlotte Checkers1Trois-Rivières Lions4LSommaire du match
Jour:47
47350Albany Devils4Charlotte Checkers2LSommaire du match
Jour:50
50369Charlotte Checkers4Norfolk Admirals3WSommaire du match
Jour:51
51385Henderson Silver Knights3Charlotte Checkers7WSommaire du match
Jour:54
54408Charlotte Checkers3Henderson Silver Knights1WSommaire du match
Jour:55
55420Springfield Falcons3Charlotte Checkers6WSommaire du match
Jour:57
57441Connecticut Whale3Charlotte Checkers5WSommaire du match
Jour:60
60461Charlotte Checkers7Roberval Dwarfs1WSommaire du match
Jour:62
62477Charlotte Checkers2San Antonio Rampage4LSommaire du match
Jour:63
63484Bridgeport Sound Tigers4Charlotte Checkers2LSommaire du match
Jour:67
67509Danbury Trashers2Charlotte Checkers4WSommaire du match
Jour:69
69528Charlotte Checkers3Providence Bruins2WSommaire du match
Jour:71
71542San Jose Barracuda2Charlotte Checkers1LXSommaire du match
Jour:73
73564Charlotte Checkers5Manitoba Moose1WSommaire du match
Jour:75
75577Manitoba Moose3Charlotte Checkers7WSommaire du match
Jour:77
77596Charlotte Checkers3Laval Chiefs1WSommaire du match
Jour:79
79608Milwaukee Admirals3Charlotte Checkers4WSommaire du match
Jour:82
82622Charlotte Checkers8Binghamton Senators5WSommaire du match
Jour:83
83639Providence Bruins4Charlotte Checkers3LSommaire du match
Jour:86
86653Charlotte Checkers3Lake Erie Monsters4LXSommaire du match
Jour:89
89668Charlotte Checkers5Danbury Trashers2WSommaire du match
Jour:90
90679Norfolk Admirals2Charlotte Checkers10WSommaire du match
Jour:96
96710Charlotte Checkers-Binghamton Senators-
Jour:97
97717Chicago Wolves-Charlotte Checkers-
Jour:99
99741Manitoba Moose-Charlotte Checkers-
Jour:101
101762Charlotte Checkers-Gatineau Olympiques-
Jour:103
103772Houston Aeros-Charlotte Checkers-
Jour:105
105785Charlotte Checkers-Milwaukee Admirals-
Jour:108
108803Blainville-Boisbriand Armada-Charlotte Checkers-
Jour:110
110828Verdun Junior-Charlotte Checkers-
Jour:114
114859Charlotte Checkers-Laval Chiefs-
Jour:116
116868Danbury Trashers-Charlotte Checkers-
Jour:118
118886Charlotte Checkers-Connecticut Whale-
Jour:119
119897Charlotte Checkers-Chicago Wolves-
Jour:122
122909Rochester Americans-Charlotte Checkers-
Jour:124
124926Charlotte Checkers-Springfield Falcons-
Jour:126
126937Blainville-Boisbriand Armada-Charlotte Checkers-
Jour:127
127953Charlotte Checkers-Bridgeport Sound Tigers-
Jour:129
129970Gatineau Olympiques-Charlotte Checkers-
Jour:132
132994Charlotte Checkers-Wilkes-Barre/Scranton Penguins-
Jour:134
1341004Joliette Sportif-Charlotte Checkers-
Jour:136
1361026Charlotte Checkers-Wilkes-Barre/Scranton Penguins-
Jour:138
1381036Grand Rapids Griffins-Charlotte Checkers-
Jour:142
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1421061Charlotte Checkers-The Nuuk Vikings-
Jour:143
1431070Grand Rapids Griffins-Charlotte Checkers-
Jour:148
1481097Joliette Sportif-Charlotte Checkers-
Jour:152
1521126Portland Crying Chiwawas-Charlotte Checkers-
Jour:153
1531140Charlotte Checkers-Hamilton Bulldogs-
Jour:156
1561159Houston Aeros-Charlotte Checkers-
Jour:159
1591176Charlotte Checkers-Chicoutimi Saguenéens-
Jour:161
1611193Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
Jour:163
1631212Charlotte Checkers-Albany Devils-
Jour:165
1651225Quebec Stars-Charlotte Checkers-
Jour:167
1671238Charlotte Checkers-Houston Aeros-
Jour:170
1701257Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
Jour:172
1721270Charlotte Checkers-Houston Aeros-
Jour:176
1761290Chisinau Pelicans-Charlotte Checkers-
Jour:177
1771295Charlotte Checkers-Joliette Sportif-
Jour:179
1791321Charlotte Checkers-Portland Crying Chiwawas-
Jour:180
1801324Quebec Stars-Charlotte Checkers-
Jour:181
1811327Charlotte Checkers-Joliette Sportif-
Jour:183
1831345Charlotte Checkers-Hamilton Bulldogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




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

Total Domicile Visiteur
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