CAROLINA Checkers

GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 9 | GA: 32 | PP%: 28.57% | PK%: 25.00%
DG: Steeven Allaire | Morale : 99 | Moyenne d'Équipe : 63
Prochain matchs #40 vs BINGHAMTON Devils
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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
1Devante Smith-Pelly0X100.0068417466796987656062626864665563996802811,000,000$
2Stefan Matteau0XX100.007251856084797361675960636171667599670261750,000$
3Ryan Poehling0X100.007142896381747262765958645961648299660211750,000$
4Kalle Kossila (R)0XX100.005739836169767362726060636173675899650274750,000$
5Gabriel Fontaine0X100.006443875878798157535654596065636299650233750,000$
6Bokondji Imama (R)0X100.007067655682807955515354575367646199640244750,000$
7Patrick Russell (R)0X100.006839825578696653515450625573673899620273750,000$
8Maxime Fortier (R)0X100.005339875758787755525353545765636499610224750,000$
9Tobias Lindberg0XX100.006189666286485062505353505350506099570251750,000$
10Mason Geertsen (R)0X100.007373675589868756305452594569655899660254750,000$
11Noah Dobson (R)0X100.005842876883746166306954625160638799660203750,000$
12Colton White0X100.006343876274817861305957585365636299650231750,000$
13David Quenneville (R)0X100.005341875666737254305552534563626499600224775,000$
14Jake Chelios0X100.005235686177485261304642565250503699540291750,000$
15Griffin Reinhart0X100.006289675989455059304742505251508699540262750,000$
Rayé
MOYENNE D'ÉQUIPE100.00635279607871715947565459556361649963
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 SP
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates62626262767654CAN592300,000$


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
1Devante Smith-PellyCAROLINA Checkers (CAR)RW35270204101651031.25%56321.1211259000020048.48%3311002.2100000000
2Ryan PoehlingCAROLINA Checkers (CAR)C3257000241171618.18%56722.5411219000030055.41%7410002.0700000001
3Jake CheliosCAROLINA Checkers (CAR)D3022-10407410830.00%136521.780227900002000.00%022000.6100000000
4Gabriel FontaineCAROLINA Checkers (CAR)C3202-11008101361315.38%87525.29202511000020049.02%5122000.5300000000
5Tobias LindbergCAROLINA Checkers (CAR)LW/RW3011-7751068260.00%26421.5700005000010025.93%2720000.3100010000
6Griffin ReinhartCAROLINA Checkers (CAR)D3000-420772330.00%76923.040000600003000.00%001000.0000000000
7Colton WhiteCAROLINA Checkers (CAR)D3000-700255150.00%167826.320003700003000.00%013000.0000000000
Stats d'équipe Total ou en Moyenne2191019-39155404665325613.85%5648523.1044821590000190048.11%18599000.7800010001
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Bokondji ImamaCAROLINA Checkers (CAR)LW248/3/1996Yes100 Kg185 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$
Colton WhiteCAROLINA Checkers (CAR)D235/3/1997No84 Kg185 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
David QuennevilleCAROLINA Checkers (CAR)D223/13/1998Yes86 Kg173 CMNoNoNo4Pro & Farm775,000$748,729$750,000$724,576$0$0$No775,000$775,000$775,000$
Devante Smith-PellyCAROLINA Checkers (CAR)RW286/14/1992No101 Kg183 CMNoNoNo1Pro & Farm1,000,000$966,102$1,000,000$966,102$0$0$NoLien
Gabriel FontaineCAROLINA Checkers (CAR)C234/30/1997No91 Kg185 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$Lien
Griffin ReinhartCAROLINA Checkers (CAR)D261/24/1994No96 Kg193 CMNoNoNo2Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$Lien
Jake CheliosCAROLINA Checkers (CAR)D293/8/1991No84 Kg188 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Kalle KossilaCAROLINA Checkers (CAR)C/LW274/14/1993Yes83 Kg180 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$
Mason GeertsenCAROLINA Checkers (CAR)D254/19/1995Yes96 Kg193 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$
Maxime FortierCAROLINA Checkers (CAR)RW2212/15/1997Yes83 Kg155 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$
Noah DobsonCAROLINA Checkers (CAR)D201/7/2000Yes84 Kg193 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$
Patrick RussellCAROLINA Checkers (CAR)RW271/4/1993Yes92 Kg185 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$
Ryan PoehlingCAROLINA Checkers (CAR)C211/3/1999No93 Kg188 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Stefan MatteauCAROLINA Checkers (CAR)C/LW262/23/1994No100 Kg188 CMNoNoNo1Pro & Farm750,000$724,576$650,000$627,966$0$0$NoLien
Tobias LindbergCAROLINA Checkers (CAR)LW/RW257/22/1995No98 Kg191 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.5391 Kg185 CM2.47768,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tobias LindbergRyan PoehlingDevante Smith-Pelly31122
2Gabriel Fontaine26122
3Ryan PoehlingDevante Smith-PellyGabriel Fontaine23122
4Tobias Lindberg20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton WhiteGriffin Reinhart31122
2Jake Chelios26122
3Colton WhiteGriffin Reinhart23122
4Jake Chelios20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tobias LindbergRyan PoehlingDevante Smith-Pelly55122
2Gabriel Fontaine45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton WhiteGriffin Reinhart55122
2Jake Chelios45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Devante Smith-PellyRyan Poehling55122
2Gabriel FontaineTobias Lindberg45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton WhiteGriffin Reinhart55122
2Jake Chelios45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Devante Smith-Pelly55122Colton WhiteGriffin Reinhart55122
2Ryan Poehling45122Jake Chelios45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Devante Smith-PellyRyan Poehling55122
2Gabriel FontaineTobias Lindberg45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colton WhiteGriffin Reinhart55122
2Jake Chelios45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tobias LindbergRyan PoehlingDevante Smith-PellyColton WhiteGriffin Reinhart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tobias LindbergRyan PoehlingDevante Smith-PellyColton WhiteGriffin Reinhart
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Fontaine, Tobias Lindberg, Devante Smith-PellyGabriel Fontaine, Tobias LindbergDevante Smith-Pelly
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colton White, Griffin Reinhart, Jake CheliosColton WhiteGriffin Reinhart, Jake Chelios
Tirs de Pénalité
Devante Smith-Pelly, Ryan Poehling, Gabriel Fontaine, Tobias Lindberg,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
Devante Smith-Pelly, Ryan Poehling, Gabriel Fontaine, Tobias Lindberg, , , , , , ,
Lignes de Défense Perso. en Prol.
Colton White, Griffin Reinhart, Jake Chelios, ,


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
LigueDomicileVisiteur
# 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
1BELLEVILLE Senators1010000069-3000000000001010000069-300.000671300342026173026053270135360.00%000.00%0346949.28%246040.00%316944.93%523389233717
2GRAND RAPIDS Griffins10100000212-1010100000212-100000000000000.000224003420321730260561421275120.00%8625.00%0346949.28%246040.00%316944.93%523389233717
Total30300000932-2310100000212-1020200000720-1300.0009101900342073173026017963214914428.57%8625.00%0346949.28%246040.00%316944.93%523389233717
3UTICA Comets10100000111-100000000000010100000111-1000.000112003420151730260702209400.00%000.00%0346949.28%246040.00%316944.93%523389233717
_Since Last GM Reset30300000932-2310100000212-1020200000720-1300.0009101900342073173026017963214914428.57%8625.00%0346949.28%246040.00%316944.93%523389233717
_Vs Conference20200000821-1310100000212-101010000069-300.000891700342058173026010941214010440.00%8625.00%0346949.28%246040.00%316944.93%523389233717

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
30L3910197317963214900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3030000932
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1010000212
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000720
Derniers 10 Matchs
WLOTWOTL SOWSOL
030000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14428.57%8625.00%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
17302603420
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
346949.28%246040.00%316944.93%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
523389233717


Derniers Match 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
1 - 2021-01-171GRAND RAPIDS Griffins12CAROLINA Checkers2LR3Sommaire du Match
2 - 2021-01-1819CAROLINA Checkers6BELLEVILLE Senators9LSommaire du Match
4 - 2021-01-2031CAROLINA Checkers1UTICA Comets11LSommaire du Match
5 - 2021-01-2140CAROLINA Checkers-BINGHAMTON Devils-
6 - 2021-01-2249GRAND RAPIDS Griffins-CAROLINA Checkers-
7 - 2021-01-2366BROOKLYN Wolfpack-CAROLINA Checkers-
8 - 2021-01-2476CAROLINA Checkers-SAN ANTONIO Rampage-
11 - 2021-01-2795SCRANTON Penguins-CAROLINA Checkers-
12 - 2021-01-28102CAROLINA Checkers-MANITOBA Moose-
14 - 2021-01-30122SYRACUSE Crunch-CAROLINA Checkers-
15 - 2021-01-31132CAROLINA Checkers-BELLEVILLE Senators-
17 - 2021-02-02143GRAND RAPIDS Griffins-CAROLINA Checkers-
19 - 2021-02-04162ONTARIO Reign-CAROLINA Checkers-
20 - 2021-02-05170CAROLINA Checkers-SAN ANTONIO Rampage-
21 - 2021-02-06187MANITOBA Moose-CAROLINA Checkers-
22 - 2021-02-07192CAROLINA Checkers-SCRANTON Penguins-
24 - 2021-02-09211CAROLINA Checkers-LEHIGH VALLEY Phantoms-
26 - 2021-02-11224LAVAL Rocket-CAROLINA Checkers-
27 - 2021-02-12236CAROLINA Checkers-TORONTO Marlies-
28 - 2021-02-13246SYRACUSE Crunch-CAROLINA Checkers-
30 - 2021-02-15265CAROLINA Checkers-IOWA Wild-
31 - 2021-02-16273CAROLINA Checkers-STOCKTON Flames-
32 - 2021-02-17284UTICA Comets-CAROLINA Checkers-
34 - 2021-02-19300COLORADO Eagles-CAROLINA Checkers-
35 - 2021-02-20315CAROLINA Checkers-ROCKFORD IceHogs-
37 - 2021-02-22326MILWAUKEE Admirals-CAROLINA Checkers-
38 - 2021-02-23337CAROLINA Checkers-TUSCON Roadrunners-
40 - 2021-02-25355CAROLINA Checkers-SYRACUSE Crunch-
41 - 2021-02-26362SAN DIEGO Gulls-CAROLINA Checkers-
43 - 2021-02-28379LEHIGH VALLEY Phantoms-CAROLINA Checkers-
44 - 2021-03-01388CAROLINA Checkers-BROOKLYN Wolfpack-
46 - 2021-03-03407HERSEY Bears-CAROLINA Checkers-
47 - 2021-03-04419CAROLINA Checkers-LEHIGH VALLEY Phantoms-
48 - 2021-03-05430SAN ANTONIO Rampage-CAROLINA Checkers-
50 - 2021-03-07441CAROLINA Checkers-GRAND RAPIDS Griffins-
51 - 2021-03-08457CAROLINA Checkers-GRAND RAPIDS Griffins-
52 - 2021-03-09467BRIDGEPORT Sound Tigers-CAROLINA Checkers-
54 - 2021-03-11484MANITOBA Moose-CAROLINA Checkers-
55 - 2021-03-12499CAROLINA Checkers-SAN ANTONIO Rampage-
56 - 2021-03-13505CAROLINA Checkers-STOCKTON Flames-
57 - 2021-03-14518ONTARIO Reign-CAROLINA Checkers-
59 - 2021-03-16536CAROLINA Checkers-LAVAL Rocket-
60 - 2021-03-17542UTICA Comets-CAROLINA Checkers-
62 - 2021-03-19562TORONTO Marlies-CAROLINA Checkers-
64 - 2021-03-21574CAROLINA Checkers-COLORADO Eagles-
65 - 2021-03-22586BROOKLYN Wolfpack-CAROLINA Checkers-
67 - 2021-03-24603CAROLINA Checkers-BRIDGEPORT Sound Tigers-
68 - 2021-03-25614GRAND RAPIDS Griffins-CAROLINA Checkers-
69 - 2021-03-26628CAROLINA Checkers-MILWAUKEE Admirals-
70 - 2021-03-27633CAROLINA Checkers-SAN DIEGO Gulls-
72 - 2021-03-29647BAKERSFIELD Condors-CAROLINA Checkers-
73 - 2021-03-30665IOWA Wild-CAROLINA Checkers-
75 - 2021-04-01677CAROLINA Checkers-UTICA Comets-
76 - 2021-04-02686CAROLINA Checkers-BAKERSFIELD Condors-
78 - 2021-04-04697CHICAGO Wolves-CAROLINA Checkers-
80 - 2021-04-06717TUSCON Roadrunners-CAROLINA Checkers-
81 - 2021-04-07728CAROLINA Checkers-BINGHAMTON Devils-
82 - 2021-04-08738CAROLINA Checkers-UTICA Comets-
84 - 2021-04-10752SCRANTON Penguins-CAROLINA Checkers-
85 - 2021-04-11762CAROLINA Checkers-BINGHAMTON Devils-
87 - 2021-04-13775HERSEY Bears-CAROLINA Checkers-
88 - 2021-04-14789CAROLINA Checkers-BELLEVILLE Senators-
89 - 2021-04-15802BELLEVILLE Senators-CAROLINA Checkers-
92 - 2021-04-18820ROCKFORD IceHogs-CAROLINA Checkers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19833CAROLINA Checkers-CHICAGO Wolves-
94 - 2021-04-20840CAROLINA Checkers-PROVIDENCE Bruins-
96 - 2021-04-22857BELLEVILLE Senators-CAROLINA Checkers-
97 - 2021-04-23873PROVIDENCE Bruins-CAROLINA Checkers-
99 - 2021-04-25891BAKERSFIELD Condors-CAROLINA Checkers-
101 - 2021-04-27903CAROLINA Checkers-ONTARIO Reign-
102 - 2021-04-28917BINGHAMTON Devils-CAROLINA Checkers-
103 - 2021-04-29927CAROLINA Checkers-HERSEY Bears-
104 - 2021-04-30937CAROLINA Checkers-CHICAGO Wolves-
106 - 2021-05-02950BINGHAMTON Devils-CAROLINA Checkers-
108 - 2021-05-04970CAROLINA Checkers-SCRANTON Penguins-
109 - 2021-05-05974CAROLINA Checkers-MANITOBA Moose-
110 - 2021-05-06984IOWA Wild-CAROLINA Checkers-
112 - 2021-05-081003CAROLINA Checkers-MANITOBA Moose-
113 - 2021-05-091011SCRANTON Penguins-CAROLINA Checkers-
116 - 2021-05-121030STOCKTON Flames-CAROLINA Checkers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
39,068$ 1,152,500$ 1,140,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 39,068$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 114 9,767$ 1,113,438$




LigueDomicileVisiteur
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
Saison Régulière
3480115603334175351-176407280211182167-85404280122393184-9141175271446127243549190362360863369315296633210352244218.75%1312283.21%11015207948.82%1241263147.17%667126952.56%162911442297541925433
3480115603334175351-176407280211182167-85404280122393184-9141175271446127243549190362360863369315296633210352244218.75%1312283.21%11015207948.82%1241263147.17%667126952.56%162911442297541925433
3630300000932-2310100000212-1020200000720-1309101900342073173026017963214914428.57%8625.00%0346949.28%246040.00%316944.93%523389233717
Total Saison Régulière1632211506668359734-37581145704222166346-1808285802446193388-1958235955291124147901101838791263124612921386483199568521194628819.05%2705081.48%22064422748.83%2506532247.09%1365260752.36%33112323468411061889885