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Connexion

Checkers
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 28 | GA: 22 | PP%: 21.74% | PK%: 95.83%
DG: Dan Rhéaume | Morale : 54 | Moyenne d’équipe : 65
Prochains matchs #155 vs Eagles

Centre de jeu
Checkers
6-2-1, 13pts
4
6 Bears
5-3-1, 11pts
Team Stats
W1SéquenceL1
3-0-1Fiche domicile4-1-0
3-2-0Fiche domicile1-2-1
6-2-1Derniers 10 matchs5-3-1
3.11Buts par match 3.33
2.44Buts contre par match 3.33
21.74%Pourcentage en avantage numérique19.05%
95.83%Pourcentage en désavantage numérique70.59%
Checkers
6-2-1, 13pts
3
1 PenguinsF
4-4-1, 9pts
Team Stats
W1SéquenceL1
3-0-1Fiche domicile2-3-1
3-2-0Fiche domicile2-1-0
6-2-1Derniers 10 matchs4-4-1
3.11Buts par match 2.89
2.44Buts contre par match 3.33
21.74%Pourcentage en avantage numérique14.29%
95.83%Pourcentage en désavantage numérique84.62%
Eagles
4-4-1, 9pts
2025-09-13
Checkers
6-2-1, 13pts
Statistiques d’équipe
W1SéquenceW1
3-2-0Fiche domicile3-0-1
1-2-1Fiche visiteur3-2-0
4-4-110 derniers matchs6-2-1
3.89Buts par match 3.11
3.56Buts contre par match 3.11
34.62%Pourcentage en avantage numérique21.74%
75.86%Pourcentage en désavantage numérique95.83%
Checkers
6-2-1, 13pts
2025-09-16
Crunch
4-4-0, 8pts
Statistiques d’équipe
W1SéquenceL1
3-0-1Fiche domicile3-1-0
3-2-0Fiche visiteur1-3-0
6-2-110 derniers matchs4-4-0
3.11Buts par match 4.00
2.44Buts contre par match 4.00
21.74%Pourcentage en avantage numérique40.00%
95.83%Pourcentage en désavantage numérique75.00%
Checkers
6-2-1, 13pts
2025-09-18
Americans
4-3-1, 9pts
Statistiques d’équipe
W1SéquenceW2
3-0-1Fiche domicile4-0-0
3-2-0Fiche visiteur0-3-1
6-2-110 derniers matchs4-3-1
3.11Buts par match 2.63
2.44Buts contre par match 2.63
21.74%Pourcentage en avantage numérique43.48%
95.83%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Buts
Jonatan Berggren
5
Passes
Dominic James
9
Points
Dominic James
10
Plus/Moins
Jacob Moverare
4
Victoires
Marcus Hogberg
5
Pourcentage d’arrêts
Semyon Vyazovoi
0.933

Statistiques d’équipe
Buts pour
28
3.11 GFG
Tirs pour
280
31.11 Avg
Pourcentage en avantage numérique
21.7%
5 GF
Début de zone offensive
41.4%
Buts contre
22
2.44 GAA
Tirs contre
263
29.22 Avg
Pourcentage en désavantage numérique
95.8%%
1 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralDan Rhéaume
EntraîneurSheldon Keefe
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineDominic James
Assistant #1Ryan Johnson
Assistant #2Sam Malinski


Informations de l’aréna

Capacité3,000
Assistance2,667
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs57


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
1Jonatan Berggren0XX100.006446937669769073637372697165486656670262900,000$
2Philip Tomasino0XX100.006345847568788171637474726772526656670251900,000$
3Dominic James (R) (C)0XXX100.006945918169747975757273717650457056670241900,000$
4Jack Studnicka0X100.0074458872697686717870687463675254566602721,200,000$
5Lucas Wallmark0X100.0061459472687792717871677462695554566603111,250,000$
6Ryan Greene (R)0XXX100.006645917570829072717372746655457056660223900,000$
7Evgeny Svechnikov0XX100.0061459373737779726469716865685354536602911,750,000$
8Ethan Cardwell0XX100.007151877768747373626773757550486650650242900,000$
9Mikael Pyyhtia0XXX100.0067459373677275726071648455544866566502421,200,000$
10Jonas Rondbjerg0XX100.006145937071697872606962795563505857640272900,000$
11David Tomasek (R)0XXX100.0065458674757073726769717069484742566403031,000,000$
12Tristen Robins0XX100.007045907266777772626970726350486656640242750,000$
13Sam Malinski (A)0X100.0067468981697677774574747166544954566702822,000,000$
14Ryan Johnson (A)0X100.006346917671748176457665745659496656670251900,000$
15Jacob Moverare0X100.0069448773747480724569727554675658566702821,350,000$
16Calle Rosen0X100.0059459771707473734572717363635246566603211,600,000$
17Ronan Seeley (R)0X100.006747887171707067456668706445457054630243750,000$
18Aleksi Heimosalmi (R)0X100.006549767369646468456867736445457053620233750,000$
Rayé
1Josiah Slavin0XX100.006345887473787271686565746361495438640272900,000$
2Kyle Maclean0X100.0072488872707079706369706863534758416402721,500,000$
3Daniil Gutik0XX100.006751817269727269626970656350486641630252750,000$
4Artem Shlaine (R)0XXX100.006347877270707067666667696445467041620243750,000$
5Cross Hanas (R)0XXX100.006148787368676769666967706445457041610243750,000$
6Derrick Pouliot0X100.0061479572737485704568687169815234416603211,750,000$
7Gustav Olofsson0X90.0259459971737270714566667564614738406503131,250,000$
8Artem Grushnikov (R)0X100.007149847172676765456566726245457041630233750,000$
9Kenneth Johnson0X100.006546907178676568456261686048465041620281800,000$
MOYENNE D’ÉQUIPE99.63654689737073767158696972645749595065
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
1Marcus Hogberg099.007984828580778480818485595838586603121,750,000$
2Semyon Vyazovoi (R)0100.00788888787978787878807855597058650233750,000$
Rayé
1Zachary Fucale0100.00767072777869787273747247525346600311850,000$
MOYENNE D’ÉQUIPE99.6778818180797580777779785456545464
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe93907962818685CAN472100,000$


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
1Dominic JamesCheckers (Flo)C/LW/RW91910340720214184.76%415417.14033317000000048.42%19000001.3001000002
2Jack StudnickaCheckers (Flo)C92573601318225199.09%015917.76000000001192060.87%20700000.8800000200
3Jonatan BerggrenCheckers (Flo)LW/RW95273004103061816.67%115417.19101317000001050.00%1200000.9001000110
4Ryan JohnsonCheckers (Flo)D9347-10078113527.27%1220122.34213618000022100%000000.7000000111
5Jacob MoverareCheckers (Flo)D93474160117122825.00%1118820.94011516101114000%000000.7400000001
6Calle RosenCheckers (Flo)D91562604811359.09%1019621.83101617000015000%000000.6100000100
7Ethan CardwellCheckers (Flo)LW/RW93362121016122351113.04%115517.30101316000030065.22%2300000.7700020011
8Ryan GreeneCheckers (Flo)C/LW/RW9246-200917225209.09%317719.710223170111200048.96%24100000.6800000100
9David TomasekCheckers (Flo)C/LW/RW904410087226150%213815.4300003000000033.33%1500000.5800000010
10Tristen RobinsCheckers (Flo)LW/RW9314100412661811.54%213615.1400001000001040.00%1000000.5900000010
11Jonas RondbjergCheckers (Flo)LW/RW912315536731214.29%2788.780000000012200100.00%400000.7600001000
12Ronan SeeleyCheckers (Flo)D712332051102100.00%912217.490000000007000%000000.4900000010
13Sam MalinskiCheckers (Flo)D9112-48098114119.09%718320.3801121600002000%000000.2200000000
14Evgeny SvechnikovCheckers (Flo)LW/RW9112-3558718785.56%314916.58000313000001040.00%1000000.2700010000
15Lucas WallmarkCheckers (Flo)C9011-1001610140%0566.3200000000000057.97%6900000.3500000000
16Mikael PyyhtiaCheckers (Flo)C/LW/RW9011-100537690%1717.90000000001200040.00%500000.2800000000
17Philip TomasinoCheckers (Flo)LW/RW9011-14012817590%315417.12000217000000060.00%1000000.1301000000
18Aleksi HeimosalmiCheckers (Flo)D91011759785412.50%1816117.9900001000018000%000000.1200010001
19Gustav OlofssonCheckers (Flo)D2000-120111000%63417.240000000006000%00000000000000
Statistiques d’équipe totales ou en moyenne1622850781077251361552807619610.00%95267516.5258133617711251746053.02%79600000.5803041666
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
1Marcus HogbergCheckers (Flo)85210.9192.4648820202480000.667381011
2Semyon VyazovoiCheckers (Flo)11000.9331.0060001150000018000
Statistiques d’équipe totales ou en moyenne96210.9202.305482021263000399011


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Aleksi HeimosalmiCheckers (Flo)D232003-05-08CANYes181 Lbs6 ft0NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Artem GrushnikovCheckers (Flo)D232003-03-20RUSYes201 Lbs6 ft2NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Artem ShlaineCheckers (Flo)C/LW/RW242002-03-07RUSYes187 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Calle RosenCheckers (Flo)D321994-02-02SWENo188 Lbs6 ft1NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,600,000$0$0$No---------------------------Lien
Cross HanasCheckers (Flo)C/LW/RW242002-01-05USAYes171 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Daniil GutikCheckers (Flo)LW/RW252001-08-31RUSNo179 Lbs6 ft3NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
David TomasekCheckers (Flo)C/LW/RW301996-02-10CZEYes210 Lbs6 ft2NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Derrick PouliotCheckers (Flo)D321994-01-16CANNo205 Lbs6 ft1NoNoFree Agent2025-02-01NoNo12025-07-08FalseFalsePro & Farm1,750,000$0$0$No---------------------------Lien
Dominic JamesCheckers (Flo)C/LW/RW242002-07-03USAYes190 Lbs6 ft0NoNoFree AgentNoNo12026-05-01FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Ethan CardwellCheckers (Flo)LW/RW242002-08-30CANNo180 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Evgeny SvechnikovCheckers (Flo)LW/RW291996-10-31RUSNo207 Lbs6 ft2NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm1,750,000$0$0$No---------------------------Lien
Gustav Olofsson (sur la masse salariale)Checkers (Flo)D311994-12-01SWENo201 Lbs6 ft3NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,250,000$0$0$Yes1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Jack StudnickaCheckers (Flo)C271999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Jacob MoverareCheckers (Flo)D281998-08-31SWENo210 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Jonas RondbjergCheckers (Flo)LW/RW271999-03-31DNKNo203 Lbs6 ft2NoNoTrade2024-11-08NoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jonatan BerggrenCheckers (Flo)LW/RW262000-07-16SWENo197 Lbs5 ft11NoNoDraftNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Josiah SlavinCheckers (Flo)LW/RW271998-12-31USANo205 Lbs6 ft3NoNoFree Agent2024-05-29NoNo22026-07-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Kenneth JohnsonCheckers (Flo)D281998-05-28USANo226 Lbs6 ft4NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Kyle MacleanCheckers (Flo)LW271999-04-29USANo190 Lbs6 ft1NoNoWaiver2024-06-27NoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Lucas WallmarkCheckers (Flo)C311995-09-05SWENo178 Lbs6 ft0NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Marcus HogbergCheckers (Flo)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Mikael PyyhtiaCheckers (Flo)C/LW/RW242001-12-17FINNo176 Lbs6 ft0NoNoTrade2024-11-08NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Philip TomasinoCheckers (Flo)LW/RW252001-07-28CANNo187 Lbs6 ft0NoNoTrade2026-05-09NoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ronan SeeleyCheckers (Flo)D242002-08-02CANYes201 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Ryan GreeneCheckers (Flo)C/LW/RW222003-10-21CANYes195 Lbs6 ft1NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Ryan JohnsonCheckers (Flo)D252001-07-24USANo195 Lbs6 ft1NoNoProspectNoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Sam MalinskiCheckers (Flo)D281998-07-27USANo190 Lbs5 ft11NoNoTrade2025-04-16NoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Semyon VyazovoiCheckers (Flo)G232003-02-26RUSYes181 Lbs6 ft3NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Tristen RobinsCheckers (Flo)LW/RW242001-11-15GBRNo176 Lbs5 ft10NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Zachary FucaleCheckers (Flo)G311995-05-28CANNo187 Lbs6 ft2NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.63194 Lbs6 ft12.001,081,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenDominic JamesEthan Cardwell30023
2David TomasekJack StudnickaTristen Robins30023
3Evgeny SvechnikovRyan GreenePhilip Tomasino30023
4Mikael PyyhtiaLucas WallmarkJonas Rondbjerg10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonJacob Moverare35032
2Calle RosenSam Malinski35032
3Ronan SeeleyAleksi Heimosalmi30032
4Ryan JohnsonJacob Moverare0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenDominic JamesEthan Cardwell50005
2David TomasekRyan GreeneTristen Robins50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonJacob Moverare50014
2Calle RosenSam Malinski50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan GreeneMikael Pyyhtia50041
2Jack StudnickaJonas Rondbjerg50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonJacob Moverare50041
2Calle RosenAleksi Heimosalmi50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Greene50050Ryan JohnsonJacob Moverare50050
2Jack Studnicka50050Calle RosenAleksi Heimosalmi50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic JamesJonatan Berggren50023
2Jack StudnickaRyan Greene50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonJacob Moverare50032
2Calle RosenSam Malinski50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonatan BerggrenDominic JamesEthan CardwellRyan JohnsonSam Malinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaRyan GreeneJonas RondbjergJacob MoverareRyan Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Tomasino, Evgeny Svechnikov, Lucas WallmarkPhilip Tomasino, Evgeny SvechnikovEthan Cardwell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ronan Seeley, Aleksi Heimosalmi, Ryan JohnsonAleksi HeimosalmiRonan Seeley, Sam Malinski
Tirs de pénalité
Dominic James, Jonatan Berggren, Ethan Cardwell, Tristen Robins, Jack Studnicka
Gardien
#1 : Marcus Hogberg, #2 : Semyon Vyazovoi, #3 : 0


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
1Bears1010000046-2000000000001010000046-200.0004812001295241111758983352162150.00%10100.00%018032355.73%16429755.22%7816148.45%2131482156812059
2Canucks11000000523110000005230000000000021.0005914001295236111758982569253133.33%20100.00%018032355.73%16429755.22%7816148.45%2131482156812059
3Gulls11000000211110000002110000000000021.00023500129523111175898305619300.00%30100.00%018032355.73%16429755.22%7816148.45%2131482156812059
4Marlies1000000134-11000000134-10000000000010.500369001295226111758983812211300.00%10100.00%018032355.73%16429755.22%7816148.45%2131482156812059
5PenguinsF11000000312000000000001100000031221.00036900129523011175898197615100.00%30100.00%018032355.73%16429755.22%7816148.45%2131482156812059
6Reign20002000642000000000002000200064241.0006101600129525011175898653916213133.33%7185.71%018032355.73%16429755.22%7816148.45%2131482156812059
7Rocket11000000413110000004130000000000021.00046100012952351117589815416105120.00%20100.00%118032355.73%16429755.22%7816148.45%2131482156812059
8Wolf Pack1010000013-2000000000001010000013-200.00012300129523111175898381722193133.33%50100.00%018032355.73%16429755.22%7816148.45%2131482156812059
Total94202001282264300000114865120200014140130.722285078001295228011175898263957913623521.74%24195.83%118032355.73%16429755.22%7816148.45%2131482156812059
_Since Last GM Reset94202001282264300000114865120200014140130.722285078001295228011175898263957913623521.74%24195.83%118032355.73%16429755.22%7816148.45%2131482156812059
_Vs Conference52200001151502100000175231200000810-250.50015284300129521631117589814345487114321.43%120100.00%118032355.73%16429755.22%7816148.45%2131482156812059

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
913W1285078280263957913600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94220012822
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4300001148
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51220001414
Derniers 10 matchs
WLOTWOTL SOWSOL
422001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23521.74%24195.83%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
1117589812952
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
18032355.73%16429755.22%7816148.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2131482156812059


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 - 2025-08-2511Gulls1Checkers2WSommaire du match
4 - 2025-08-2830Checkers1Wolf Pack3LSommaire du match
6 - 2025-08-3054Canucks2Checkers5WSommaire du match
7 - 2025-08-3155Checkers3Reign2WXSommaire du match
9 - 2025-09-0274Checkers3Reign2WXSommaire du match
11 - 2025-09-0493Rocket1Checkers4WSommaire du match
14 - 2025-09-07113Marlies4Checkers3LXXSommaire du match
16 - 2025-09-09126Checkers4Bears6LSommaire du match
18 - 2025-09-11146Checkers3PenguinsF1WSommaire du match
20 - 2025-09-13155Eagles-Checkers-
23 - 2025-09-16178Checkers-Crunch-
25 - 2025-09-18188Checkers-Americans-
26 - 2025-09-19200Comets-Checkers-
29 - 2025-09-22220Americans-Checkers-
31 - 2025-09-24242PenguinsF-Checkers-
33 - 2025-09-26257Checkers-Phantoms-
37 - 2025-09-30278Bears-Checkers-
40 - 2025-10-03302Checkers-Gulls-
42 - 2025-10-05313Wolves-Checkers-
44 - 2025-10-07326Checkers-Griffins-
46 - 2025-10-09343Canucks-Checkers-
48 - 2025-10-11357Checkers-Bears-
50 - 2025-10-13372Checkers-Roadrunners-
51 - 2025-10-14381Rocket-Checkers-
55 - 2025-10-18405PenguinsF-Checkers-
57 - 2025-10-20425Checkers-Moose-
59 - 2025-10-22437Checkers-Crunch-
60 - 2025-10-23445Wolves-Checkers-
64 - 2025-10-27472Gulls-Checkers-
66 - 2025-10-29492Checkers-Moose-
68 - 2025-10-31504Bears-Checkers-
70 - 2025-11-02521Checkers-Barracuda-
72 - 2025-11-04535Phantoms-Checkers-
74 - 2025-11-06549Checkers-Phantoms-
76 - 2025-11-08566Phantoms-Checkers-
78 - 2025-11-10584Checkers-Comets-
80 - 2025-11-12599Marlies-Checkers-
82 - 2025-11-14616Checkers-Americans-
84 - 2025-11-16631Checkers-Icehogs-
85 - 2025-11-17637Islanders-Checkers-
89 - 2025-11-21665Moose-Checkers-
92 - 2025-11-24684Checkers-StarsF-
94 - 2025-11-26698Comets-Checkers-
96 - 2025-11-28714Checkers-Islanders-
98 - 2025-11-30728Wolf Pack-Checkers-
102 - 2025-12-04751Checkers-Islanders-
103 - 2025-12-05763Americans-Checkers-
107 - 2025-12-09788SenatorsF-Checkers-
110 - 2025-12-12813Checkers-Wolf Pack-
111 - 2025-12-13823Icehogs-Checkers-
114 - 2025-12-16841Checkers-Wolves-
115 - 2025-12-17853Admirals-Checkers-
119 - 2025-12-21877Checkers-Condors-
120 - 2025-12-22885Thunderbirds-Checkers-
123 - 2025-12-25914Islanders-Checkers-
124 - 2025-12-26922Checkers-PenguinsF-
128 - 2025-12-30946Firebirds-Checkers-
130 - 2026-01-01961Checkers-Comets-
132 - 2026-01-03979Eagles-Checkers-
135 - 2026-01-061000Checkers-Wolves-
137 - 2026-01-081012SenatorsF-Checkers-
139 - 2026-01-101030Checkers-BruinsF-
141 - 2026-01-121044BruinsF-Checkers-
144 - 2026-01-151064Checkers-Rocket-
146 - 2026-01-171077Wolf Pack-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191093Checkers-SenatorsF-
150 - 2026-01-211108Silver Knights-Checkers-
151 - 2026-01-221117Checkers-SenatorsF-
155 - 2026-01-261140Iowa Wild-Checkers-
157 - 2026-01-281160Checkers-BruinsF-
159 - 2026-01-301173Crunch-Checkers-
162 - 2026-02-021192Checkers-Rocket-
163 - 2026-02-031202Crunch-Checkers-
167 - 2026-02-071224Checkers-Marlies-
168 - 2026-02-081235Firebirds-Checkers-
171 - 2026-02-111249Checkers-Marlies-
173 - 2026-02-131267Checkers-Wranglers-
174 - 2026-02-141270Moose-Checkers-
177 - 2026-02-171298Checkers-Wranglers-
178 - 2026-02-181303Checkers-Reign-
179 - 2026-02-191307Checkers-Firebirds-
181 - 2026-02-211319BruinsF-Checkers-
182 - 2026-02-221332Checkers-Firebirds-
183 - 2026-02-231344Monsters-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4934
Assistance7,1533,515
Assistance PCT89.41%87.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2667 - 88.90% 185,854$743,416$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
317,037$ 3,120,000$ 3,120,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 307,263$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,062,452$ 166 17,500$ 2,905,000$




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

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

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

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

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