Checkers
GP: 82 | W: 8 | L: 68 | OTL: 6 | P: 22
GF: 261 | GA: 512 | PP%: 19.08% | PK%: 63.29%
DG: Félix Fortier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Wolf Pack
43-28-11, 97pts
2
FINAL
3 Checkers
8-68-6, 22pts
Team Stats
OTL1StreakL1
23-11-7Home Record5-33-3
20-17-4Away Record3-35-3
5-1-4Last 10 Games1-9-0
3.73Buts par match 3.18
3.33Buts contre par match 6.24
22.63%Pourcentage en avantage numérique19.08%
81.18%Pourcentage en désavantage numérique63.29%
Griffins
15-66-1, 31pts
6
FINAL
2 Checkers
8-68-6, 22pts
Team Stats
W1StreakL1
10-30-1Home Record5-33-3
5-36-0Away Record3-35-3
2-8-0Last 10 Games1-9-0
3.12Buts par match 3.18
6.29Buts contre par match 6.24
15.27%Pourcentage en avantage numérique19.08%
67.42%Pourcentage en désavantage numérique63.29%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
261
3.18 GFG
Tirs pour
3311
40.38 Avg
Pourcentage en avantage numérique
19.1%
33 GF
Début de zone offensive
36.7%
Buts contre
512
6.24 GAA
Tirs contre
4686
57.15 Avg
Pourcentage en désavantage numérique
63.3%
76 GA
Début de la zone défensive
44.9%
Information d’équipe

Directeur généralFélix Fortier
EntraîneurJoel Bouchard
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,954
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 80
Espoirs42


Historique d'équipe

Saison actuelle8-68-6 (22PTS)
Historique46-101-12 (0.289%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Thomas Bordeleau (R)0X100.00593778686687836674646362716465075640231950,000$
2Jake Lucchini0X100.00613884637081876268606164627072075630302950,000$
3Jesse Ylonen0X100.00683892637978836265605864596668075630262900,000$
4Nate Danielson (R)0X100.00683985667781736469625761596264075630213950,000$
5Ryan Suzuki (R)0XX100.00673889657778836274635862616466075630242800,000$
6Noah Ostlund (R)0X100.00573890656785696467596063666162075620213950,000$
7Stefan Matteau0X100.00735167588279645767605659577176075610312950,000$
8Tyler Madden (R)0X100.00633693626381865868615754566668075610251900,000$
9Bokondji Imama0X100.00778554598267785753595856556970075610292850,000$
10Gabriel Szturc (R)0X100.00623791597169705863575655546264075590223950,000$
11Cale Fleury (R)0X100.007338926578818262306458665167690756402621,000,000$
12Ryan Johnson (R)0X100.00643787657681866430665862506466075640242950,000$
13Wyatt Aamodt77X100.00743976627583845930566058556870075620273950,000$
14Calen Addison0X100.005840716567738563306654564865670756102521,405,000$
15Chase Priskie0X100.00623884607174845930625758496971075610291850,000$
16Zach Metsa0X100.00563692616677836030655556496769075610263950,000$
17Cavan Fitzgerald0X100.00663985597570835630585759476971075610291850,000$
18Ryan Mast (R)0X100.00854285529464675130535059456264075590223950,000$
Rayé
1Samuel Laberge0X100.00724459568267785754535558566870075590281900,000$
2Jack Rathbone0X100.00573882596684855630585554476668075590262900,000$
3Jack Matier (R)0X100.00844190539364705230545159456264075590222950,000$
4Noah Warren (R)0X100.00824280549161705330525058456163075580213950,000$
MOYENNE D’ÉQUIPE100.0068418261767679594860575954666807561
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
1Oscar Dansk100.0072837884717072717072717285075650311950,000$
2Vadim Zherenko100.0073837976727173727173726471075640241975,000$
Rayé
MOYENNE D’ÉQUIPE100.007383798072717372717372687807565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard66736870797474CAN512900,000$


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
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


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 restantPlafond salarial 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 10Link
Bokondji ImamaCheckers (FLA)LW291996-08-03No221 Lbs6 ft1NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Cale FleuryCheckers (FLA)D261998-11-19Yes204 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Calen Addison (contrat à 1 volet)Checkers (FLA)D252000-04-11No173 Lbs5 ft11NoNoNo2Pro & Farm1,405,000$1,405,000$1,405,000$0$No1,405,000$Lien / Lien NHL
Cavan FitzgeraldCheckers (FLA)D291996-08-23No190 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Chase PriskieCheckers (FLA)D291996-03-19No185 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Gabriel SzturcCheckers (FLA)C222003-09-24Yes194 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jack MatierCheckers (FLA)D222003-04-08Yes205 Lbs6 ft6NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jack RathboneCheckers (FLA)D261999-05-20No177 Lbs5 ft10NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Jake LucchiniCheckers (FLA)C301995-05-09No180 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jesse YlonenCheckers (FLA)RW261999-10-03No200 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Nate DanielsonCheckers (FLA)C212004-09-27Yes185 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Noah OstlundCheckers (FLA)C212004-03-11Yes175 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Noah WarrenCheckers (FLA)D212004-07-15Yes224 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Oscar DanskCheckers (FLA)G311994-02-28No204 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Ryan JohnsonCheckers (FLA)D242001-07-24Yes195 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Ryan MastCheckers (FLA)D222003-01-14Yes221 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Ryan SuzukiCheckers (FLA)C/LW242001-05-28Yes196 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Samuel LabergeCheckers (FLA)LW281997-04-10No206 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Stefan MatteauCheckers (FLA)LW311994-02-23No208 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Thomas BordeleauCheckers (FLA)C232002-01-03Yes180 Lbs5 ft10NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Tyler MaddenCheckers (FLA)C251999-11-09Yes152 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Vadim ZherenkoCheckers (FLA)G242001-03-15No176 Lbs6 ft2NoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Wyatt AamodtCheckers (FLA)D271997-11-22No201 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Zach MetsaCheckers (FLA)D261998-10-19No181 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.50193 Lbs6 ft12.00945,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1Admirals2010010038-51010000026-41000010012-110.250369001019167280111010501130247633646200.00%40100.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
2Americans403001001228-1620100100916-720200000312-910.1251223350010191672134111010501130242176618916116.67%8362.50%01047300534.84%1241367433.78%462150430.72%13809232589618971408
3Barracuda20200000718-1110100000310-71010000048-400.00071421001019167290111010501130241273916504125.00%7442.86%01047300534.84%1241367433.78%462150430.72%13809232589618971408
4Bears303000001119-820200000813-51010000036-300.000112233101019167293111010501130241533422863133.33%11372.73%01047300534.84%1241367433.78%462150430.72%13809232589618971408
5Bruins30300000615-920200000411-71010000024-200.000611170010191672102111010501130241816330679333.33%15380.00%11047300534.84%1241367433.78%462150430.72%13809232589618971408
6Comets20200000416-121010000026-410100000210-800.0004812001019167266111010501130241383010584125.00%50100.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
7Condors20200000815-71010000057-21010000038-500.0008142200101916728411101050113024902010587114.29%4250.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
8Crunch413000001227-152110000087120200000420-1620.250122335001019167213311101050113024226661210513323.08%6433.33%01047300534.84%1241367433.78%462150430.72%13809232589618971408
9Devils303000001223-111010000068-220200000615-900.0001224360010191672151111010501130241613615937114.29%5340.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
10Eagles20100100911-21010000056-11000010045-110.250917260010191672851110105011302482308755120.00%4175.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
11Firebirds20200000610-41010000024-21010000046-200.00061218001019167273111010501130248831637300.00%3166.67%01047300534.84%1241367433.78%462150430.72%13809232589618971408
12Griffins403010001925-620200000713-6201010001212020.25019375600101916722511110105011302428791281396233.33%14285.71%11047300534.84%1241367433.78%462150430.72%13809232589618971408
13Gulls2010000179-21000000145-11010000034-110.250713200010191672661110105011302412936844300.00%40100.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
14IceHogs2020000048-41010000014-31010000034-100.0004812001019167269111010501130241243310444125.00%5260.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
15Marlies413000001023-132110000079-220200000314-1120.250102030001019167216411101050113024217661811211218.18%9366.67%01047300534.84%1241367433.78%462150430.72%13809232589618971408
16Monsters30300000719-1220200000413-91010000036-300.00071320001019167292111010501130241505412734125.00%7357.14%01047300534.84%1241367433.78%462150430.72%13809232589618971408
17Moose20200000715-81010000037-41010000048-400.00071421001019167277111010501130241224113595240.00%4325.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
18Penguins303000001021-111010000025-320200000816-800.00010203000101916721201110105011302416060165910220.00%8450.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
19Phantoms303000001020-1020200000715-81010000035-200.0001019290010191672121111010501130241636018874125.00%8712.50%01047300534.84%1241367433.78%462150430.72%13809232589618971408
20Reign2110000068-21010000014-31100000054120.5006111700101916726211101050113024100351652500.00%8362.50%01047300534.84%1241367433.78%462150430.72%13809232589618971408
21Roadrunners20200000614-81010000025-31010000049-500.00061218001019167274111010501130241244323544375.00%9366.67%01047300534.84%1241367433.78%462150430.72%13809232589618971408
22Rocket301011001517-21000100076120100100811-330.5001528430010191672210111010501130242076112985120.00%6350.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
23Senators40400000631-2520200000515-1020200000116-1500.000612180010191672124111010501130242177224921119.09%7357.14%01047300534.84%1241367433.78%462150430.72%13809232589618971408
24Silver Knights21100000111011010000056-11100000064220.500112132001019167214111101050113024121388675120.00%30100.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
25Sound Tigers30300000923-141010000029-720200000714-700.00091827001019167299111010501130241975020914125.00%10460.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
26Stars20100100810-21000010067-11010000023-110.250816240010191672931110105011302464271059500.00%4175.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
27Thunderbirds2110000011110110000006511010000056-120.50011213200101916721031110105011302411732863600.00%3166.67%01047300534.84%1241367433.78%462150430.72%13809232589618971408
28Wild20200000416-121010000036-310100000110-900.00047110010191672561110105011302414637856300.00%4250.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
29Wolf Pack31200000912-3211000006601010000036-320.3339182700101916729111101050113024195581475400.00%8275.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
30Wolves30300000618-121010000007-720200000611-500.000612180010191672110111010501130241934316629222.22%9544.44%01047300534.84%1241367433.78%462150430.72%13809232589618971408
31Wranglers20200000612-61010000004-41010000068-200.0006111700101916729711101050113024114311554200.00%5180.00%01047300534.84%1241367433.78%462150430.72%13809232589618971408
Total8266802501261512-2514143301201132245-1134123501300129267-138220.13426150576610101916723311111010501130244686141645022061733319.08%2077663.29%21047300534.84%1241367433.78%462150430.72%13809232589618971408
_Since Last GM Reset8266802501261512-2514143301201132245-1134123501300129267-138220.13426150576610101916723311111010501130244686141645022061733319.08%2077663.29%21047300534.84%1241367433.78%462150430.72%13809232589618971408
_Vs Conference5034302200154321-167253200110082153-71250230110072168-96120.1201543004541010191672199511101050113024292488027513301062220.75%1315260.31%21047300534.84%1241367433.78%462150430.72%13809232589618971408
_Vs Division262200220080166-861329011004777-3013011011003389-56100.1928015423400101916721118111010501130241552485142704611321.31%652167.69%21047300534.84%1241367433.78%462150430.72%13809232589618971408

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8222L1261505766331146861416450220610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
826682501261512
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
414331201132245
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412351300129267
Derniers 10 matchs
WLOTWOTL SOWSOL
190000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1733319.08%2077663.29%2
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
1110105011302410191672
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
1047300534.84%1241367433.78%462150430.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13809232589618971408


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
1 - 2025-10-071IceHogs4Checkers1BLSommaire du match
3 - 2025-10-0912Phantoms10Checkers4BLSommaire du match
5 - 2025-10-1127Senators8Checkers2BLSommaire du match
7 - 2025-10-1344Checkers3Phantoms5ALSommaire du match
9 - 2025-10-1558Checkers6Griffins7ALSommaire du match
10 - 2025-10-1664Checkers4Devils6ALSommaire du match
12 - 2025-10-1876Checkers1Americans6ALSommaire du match
15 - 2025-10-21103Checkers2Bruins4ALSommaire du match
17 - 2025-10-23114Penguins5Checkers2BLSommaire du match
19 - 2025-10-25130Silver Knights6Checkers5BLSommaire du match
22 - 2025-10-28154Gulls5Checkers4BLXXSommaire du match
26 - 2025-11-01185Stars7Checkers6BLXSommaire du match
29 - 2025-11-04211Checkers3Gulls4ALSommaire du match
31 - 2025-11-06226Checkers5Reign4AWSommaire du match
33 - 2025-11-08243Checkers4Barracuda8ALSommaire du match
35 - 2025-11-10255Checkers6Silver Knights4AWSommaire du match
38 - 2025-11-13273Bears6Checkers4BLSommaire du match
40 - 2025-11-15283Crunch4Checkers2BLSommaire du match
42 - 2025-11-17303Comets6Checkers2BLSommaire du match
45 - 2025-11-20322Devils8Checkers6BLSommaire du match
47 - 2025-11-22338Condors7Checkers5BLSommaire du match
49 - 2025-11-24357Checkers1Admirals2ALXSommaire du match
51 - 2025-11-26363Phantoms5Checkers3BLSommaire du match
53 - 2025-11-28380Wranglers4Checkers0BLSommaire du match
57 - 2025-12-02415Marlies5Checkers2BLSommaire du match
59 - 2025-12-04429Admirals6Checkers2BLSommaire du match
61 - 2025-12-06442Monsters6Checkers2BLSommaire du match
62 - 2025-12-07454Sound Tigers9Checkers2BLSommaire du match
65 - 2025-12-10478Checkers4Roadrunners9ALSommaire du match
66 - 2025-12-11490Checkers4Eagles5ALXSommaire du match
68 - 2025-12-13505Checkers2Stars3ALSommaire du match
70 - 2025-12-15514Checkers4Crunch12ALSommaire du match
72 - 2025-12-17529Reign4Checkers1BLSommaire du match
74 - 2025-12-19544Wolves7Checkers0BLSommaire du match
75 - 2025-12-20554Thunderbirds5Checkers6BWSommaire du match
78 - 2025-12-23581Checkers4Wolves7ALSommaire du match
82 - 2025-12-27591Crunch3Checkers6BWSommaire du match
84 - 2025-12-29607Bears7Checkers4BLSommaire du match
85 - 2025-12-30618Rocket6Checkers7BWXSommaire du match
88 - 2026-01-02641Wolf Pack4Checkers3BLSommaire du match
90 - 2026-01-04659Eagles6Checkers5BLSommaire du match
92 - 2026-01-06672Checkers2Marlies7ALSommaire du match
94 - 2026-01-08683Checkers5Rocket6ALXSommaire du match
96 - 2026-01-10704Checkers0Senators10ALSommaire du match
98 - 2026-01-12716Checkers2Americans6ALSommaire du match
102 - 2026-01-16750Checkers2Wolves4ALSommaire du match
103 - 2026-01-17761Checkers3Bears6ALSommaire du match
105 - 2026-01-19773Barracuda10Checkers3BLSommaire du match
108 - 2026-01-22799Checkers4Moose8ALSommaire du match
110 - 2026-01-24817Checkers1Wild10ALSommaire du match
111 - 2026-01-25823Checkers3IceHogs4ALSommaire du match
113 - 2026-01-27834Roadrunners5Checkers2BLSommaire du match
115 - 2026-01-29852Checkers5Thunderbirds6ALSommaire du match
117 - 2026-01-31862Moose7Checkers3BLSommaire du match
119 - 2026-02-02876Americans6Checkers5BLXSommaire du match
121 - 2026-02-04893Bruins6Checkers2BLSommaire du match
122 - 2026-02-05908Checkers0Crunch8ALSommaire du match
143 - 2026-02-26921Marlies4Checkers5BWSommaire du match
144 - 2026-02-27930Americans10Checkers4BLSommaire du match
146 - 2026-03-01951Checkers2Sound Tigers7ALSommaire du match
148 - 2026-03-03961Checkers2Devils9ALSommaire du match
150 - 2026-03-05978Checkers3Monsters6ALSommaire du match
151 - 2026-03-06983Checkers6Griffins5AWXSommaire du match
155 - 2026-03-101016Griffins7Checkers5BLSommaire du match
157 - 2026-03-121031Monsters7Checkers2BLSommaire du match
160 - 2026-03-151062Checkers4Firebirds6ALSommaire du match
162 - 2026-03-171074Checkers2Comets10ALSommaire du match
164 - 2026-03-191089Checkers3Condors8ALSommaire du match
165 - 2026-03-201097Checkers6Wranglers8ALSommaire du match
169 - 2026-03-241123Firebirds4Checkers2BLSommaire du match
171 - 2026-03-261140Wild6Checkers3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281153Checkers5Sound Tigers7ALSommaire du match
174 - 2026-03-291167Checkers3Wolf Pack6ALSommaire du match
176 - 2026-03-311181Senators7Checkers3BLSommaire du match
178 - 2026-04-021193Bruins5Checkers2BLSommaire du match
180 - 2026-04-041211Checkers6Penguins9ALSommaire du match
181 - 2026-04-051223Checkers2Penguins7ALSommaire du match
183 - 2026-04-071233Checkers3Rocket5ALSommaire du match
185 - 2026-04-091250Checkers1Senators6ALSommaire du match
187 - 2026-04-111270Checkers1Marlies7ALSommaire du match
189 - 2026-04-131283Wolf Pack2Checkers3BWSommaire du match
191 - 2026-04-151303Griffins6Checkers2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3115
Assistance80,25140,851
Assistance PCT97.87%99.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2954 - 98.46% 94,529$3,875,683$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,113,292$ 2,127,500$ 2,127,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,213,211$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,930,394$ 0 15,768$ 0$




Checkers Leaders statistiques (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
1Austin Czarnik82354378167123028712.20%23174221.25510155100016155.89%10.9001
2Bobby Brink77333871-94441583329.94%21143418.62213156010123249.13%10.9902
3Ryan Johnson811645611408912815110.60%111200324.734812810000400.00%00.6100
4Thomas Bordeleau76273158-66742123028.94%19162021.333364401172146.16%00.7211
5Ivan Miroshnichenko81193857-1201301192029.41%17135116.690111300014140.31%00.8422

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
1Yaroslav Askarov823831110.8983.5248368228427890120.61513
2Oscar Dansk40200.9062.88125006640000.0000

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
Saison régulière
202482313306813283295-1241171703211146141541141603602137154-1787283511794229893859285097691293837285578843218202794315.41%1833779.78%21514296451.08%1527297851.28%728140651.78%1930133019656081073531
20258266802501261512-2514143301201132245-1134123501300129267-1382226150576610101916723311111010501130244686141645022061733319.08%2077663.29%21047300534.84%1241367433.78%462150430.72%13809232589618971408
Total Saison régulière16437101081314544807-26382215004412278386-10882165104902266421-1551095441016156032199184152116161208619622068617541220488240264527616.81%39011371.03%42561596942.91%2768665241.61%1190291040.89%33102254455512262045939

Checkers Leaders statistiques (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

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