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Checkers
GP: 22 | W: 13 | L: 6 | OTL: 3 | P: 29
GF: 81 | GA: 65 | PP%: 21.31% | PK%: 89.47%
DG: Dan Rhéaume | Morale : 54 | Moyenne d’équipe : 65
Prochains matchs #372 vs Roadrunners

Centre de jeu
Canucks
13-10-2, 28pts
4
5 Checkers
13-6-3, 29pts
Team Stats
SOW1SéquenceL1
7-3-2Fiche domicile8-2-1
6-7-0Fiche domicile5-4-2
5-4-1Derniers 10 matchs4-4-2
3.28Buts par match 3.68
3.68Buts contre par match 2.95
22.22%Pourcentage en avantage numérique21.31%
75.28%Pourcentage en désavantage numérique89.47%
Checkers
13-6-3, 29pts
1
2 Bears
11-10-2, 24pts
Team Stats
L1SéquenceW1
8-2-1Fiche domicile7-4-0
5-4-2Fiche domicile4-6-2
4-4-2Derniers 10 matchs4-5-1
3.68Buts par match 2.91
2.95Buts contre par match 3.13
21.31%Pourcentage en avantage numérique16.39%
89.47%Pourcentage en désavantage numérique80.39%
Checkers
13-6-3, 29pts
2025-10-16
Roadrunners
15-6-0, 30pts
Statistiques d’équipe
L1SéquenceSOW1
8-2-1Fiche domicile7-4-0
5-4-2Fiche visiteur8-2-0
4-4-210 derniers matchs7-3-0
3.68Buts par match 3.76
2.95Buts contre par match 3.76
21.31%Pourcentage en avantage numérique31.82%
89.47%Pourcentage en désavantage numérique74.55%
Rocket
11-12-1, 23pts
2025-10-17
Checkers
13-6-3, 29pts
Statistiques d’équipe
L1SéquenceL1
5-6-0Fiche domicile8-2-1
6-6-1Fiche visiteur5-4-2
3-7-010 derniers matchs4-4-2
3.33Buts par match 3.68
3.33Buts contre par match 3.68
25.45%Pourcentage en avantage numérique21.31%
77.92%Pourcentage en désavantage numérique89.47%
PenguinsF
12-8-2, 26pts
2025-10-21
Checkers
13-6-3, 29pts
Statistiques d’équipe
W4SéquenceL1
6-5-1Fiche domicile8-2-1
6-3-1Fiche visiteur5-4-2
6-3-110 derniers matchs4-4-2
3.45Buts par match 3.68
3.05Buts contre par match 3.68
16.18%Pourcentage en avantage numérique21.31%
81.97%Pourcentage en désavantage numérique89.47%
Meneurs d'équipe
Buts
Ryan Greene
11
Passes
Dominic James
20
Points
Dominic James
26
Plus/Moins
Jonatan Berggren
9
Victoires
Marcus Hogberg
10
Pourcentage d’arrêts
Marcus Hogberg
0.898

Statistiques d’équipe
Buts pour
81
3.68 GFG
Tirs pour
726
33.00 Avg
Pourcentage en avantage numérique
21.3%
13 GF
Début de zone offensive
42.2%
Buts contre
65
2.95 GAA
Tirs contre
607
27.59 Avg
Pourcentage en désavantage numérique
89.5%%
6 GA
Début de la zone défensive
37.8%
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
Assistance2,712
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 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 Berggren0XX100.006446937669769073637372697165486659670262900,000$
2Philip Tomasino0XX100.006345847568788171637474726772526659670251900,000$
3Dominic James (R) (C)0XXX100.006945918169747975757273717650457059670241900,000$
4Jack Studnicka0X100.0074458872697686717870687463675254596602721,200,000$
5Lucas Wallmark0X100.0061459472687792717871677462695554596603111,250,000$
6Ryan Greene (R)0XXX100.006645917570829072717372746655457059660223900,000$
7Ethan Cardwell0XX100.007151877768747373626773757550486653650242900,000$
8Mikael Pyyhtia0XXX100.0067459373677275726071648455544866596502421,200,000$
9Jonas Rondbjerg0XX100.006145937071697872606962795563505860640272900,000$
10Kyle Maclean0X100.0072488872707079706369706863534758326402721,500,000$
11Tristen Robins0XX100.007045907266777772626970726350486659640242750,000$
12Daniil Gutik0XX100.006751817269727269626970656350486632630252750,000$
13Sam Malinski (A)0X100.0067468981697677774574747166544954496702822,000,000$
14Ryan Johnson (A)0X100.006346917671748176457665745659496659670251900,000$
15Jacob Moverare0X100.0069448773747480724569727554675658596702821,350,000$
16Gustav Olofsson0X100.0059459971737270714566667564614738386503131,250,000$
17Artem Grushnikov (R)0X100.007149847172676765456566726245457032630233750,000$
18Aleksi Heimosalmi (R)0X98.626549767369646468456867736445457044620233750,000$
Rayé
1Evgeny Svechnikov0XX100.0061459373737779726469716865685354526602911,750,000$
2Josiah Slavin0XX100.006345887473787271686565746361495425640272900,000$
3David Tomasek (R)0XXX100.0065458674757073726769717069484742556403031,000,000$
4Artem Shlaine (R)0XXX100.006347877270707067666667696445467028620243750,000$
5Cross Hanas (R)0XXX100.006148787368676769666967706445457028610243750,000$
6Calle Rosen0X89.5559459771707473734572717363635246496603211,600,000$
7Derrick Pouliot0X100.0061479572737485704568687169815234286603211,750,000$
8Ronan Seeley (R)0X100.006747887171707067456668706445457053630243750,000$
9Kenneth Johnson0X100.006546907178676568456261686048465028620281800,000$
MOYENNE D’ÉQUIPE99.52654689737073767158696972645749594765
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 Hogberg0100.007984828580778480818485595838506603121,750,000$
2Semyon Vyazovoi (R)0100.00788888787978787878807855597060650233750,000$
Rayé
1Zachary Fucale0100.00767072777869787273747247525339600311850,000$
MOYENNE D’ÉQUIPE100.0078818180797580777779785456545064
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/RW226202694020486521449.23%637817.221781451000002052.67%46900001.3701000104
2Ryan GreeneCheckers (Flo)C/LW/RW22111223540273070154715.71%541718.9713411490111362148.37%49000011.1000000300
3Ethan CardwellCheckers (Flo)LW/RW227132071410412061175311.48%238717.613149500000101050.98%5100001.0300020022
4Jonatan BerggrenCheckers (Flo)LW/RW229101990081665154613.85%238017.28112852000001053.13%3200011.0001000210
5Philip TomasinoCheckers (Flo)LW/RW2261117740222054132511.11%636216.48101535000001052.00%2500000.9401000121
6Jacob MoverareCheckers (Flo)D2271017734032163762018.92%2147021.381231548101136000%000000.7200000002
7Ryan JohnsonCheckers (Flo)D2251116620192224161720.83%2849222.392351355000050100%000000.6500000111
8Tristen RobinsCheckers (Flo)LW/RW226814020141057153910.53%435616.23112433000001042.86%2100000.7800000020
9Jack StudnickaCheckers (Flo)C224913214032404517348.89%438117.34000010001453057.43%49100000.6800000210
10Calle RosenCheckers (Flo)D2037101601113316159.68%2143621.841011441000035000%000000.4600000100
11David TomasekCheckers (Flo)C/LW/RW18178-42018124615392.17%228215.68022017000000052.38%2100000.5700000010
12Sam MalinskiCheckers (Flo)D22257-520027213310226.06%1343619.83134164500008000%000000.3200000000
13Evgeny SvechnikovCheckers (Flo)LW/RW18167-11151119319203.23%427815.49000313000001050.00%2200000.5000010001
14Gustav OlofssonCheckers (Flo)D841526067111536.36%1714217.8600026000116000%000000.7000000100
15Ronan SeeleyCheckers (Flo)D1723512016270828.57%1529017.1100001000017000%000000.3400000010
16Aleksi HeimosalmiCheckers (Flo)D1714541610231111679.09%2530217.7700024000036000%000000.3300020101
17Jonas RondbjergCheckers (Flo)LW/RW22224-475872062710.00%31968.95000000003510057.14%1400000.4100001010
18Lucas WallmarkCheckers (Flo)C22134-500315175185.88%21547.00000000000140053.85%18200000.5200000000
19Kyle MacleanCheckers (Flo)LW422442041122416.67%16015.1800000000000050.00%200001.3200000000
20Daniil GutikCheckers (Flo)LW/RW41234002250520.00%16015.1100000000000080.00%500000.9900000001
21Mikael PyyhtiaCheckers (Flo)C/LW/RW22022-4201192312190%41808.22000000001490042.86%1400000.2200000000
22Artem GrushnikovCheckers (Flo)D40114001011010%17418.550000100005000%000000.2700000000
Statistiques d’équipe totales ou en moyenne39681149230491523036534272620751511.16%187652416.48132336116514112841513152.75%183900020.7103051131213
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)1810420.8983.0096120484690000.6673175012
2Semyon VyazovoiCheckers (Flo)83210.8842.60370001613800000517000
Statistiques d’équipe totales ou en moyenne2613630.8952.881332206460700032222012


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 Rosen (sur la masse salariale)Checkers (Flo)D321994-02-02SWENo188 Lbs6 ft1NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,600,000$0$0$Yes---------------------------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 OlofssonCheckers (Flo)D311994-12-01SWENo201 Lbs6 ft3NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------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
2Tristen RobinsRyan GreenePhilip Tomasino30023
3Kyle MacleanJack StudnickaDaniil Gutik30023
4Mikael PyyhtiaLucas WallmarkJonas Rondbjerg10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonSam Malinski35041
2Jacob MoverareArtem Grushnikov35041
3Gustav OlofssonAleksi Heimosalmi30041
4Ryan JohnsonSam Malinski0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenDominic JamesEthan Cardwell50014
2Tristen RobinsRyan GreenePhilip Tomasino50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonSam Malinski50014
2Jacob MoverareGustav Olofsson50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack StudnickaMikael Pyyhtia50041
2Lucas WallmarkJonas Rondbjerg50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonGustav Olofsson50041
2Jacob MoverareArtem Grushnikov50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Studnicka50050Ryan JohnsonGustav Olofsson50050
2Lucas Wallmark50050Jacob MoverareArtem Grushnikov50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic JamesJonatan Berggren50023
2Ryan GreenePhilip Tomasino50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonSam Malinski50032
2Jacob MoverareGustav Olofsson50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonatan BerggrenDominic JamesEthan CardwellRyan JohnsonSam Malinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaRyan GreeneJonas RondbjergRyan JohnsonJacob Moverare
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Studnicka, Kyle Maclean, Daniil GutikJack Studnicka, Kyle MacleanEthan Cardwell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gustav Olofsson, Aleksi Heimosalmi, Ryan JohnsonArtem GrushnikovSam Malinski, Aleksi Heimosalmi
Tirs de pénalité
Jonatan Berggren, Ryan Greene, Ethan Cardwell, Philip Tomasino, Dominic James
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
TotalDomicile Visiteur
# 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 RI
1Americans211000005411010000012-11100000042220.50059140033232326126920424214511717394250.00%6183.33%041776654.44%35568751.67%19836354.55%545383498160289145
2Bears3120000011110110000006332020000058-320.33311223300332323210126920424214782112459111.11%60100.00%041776654.44%35568751.67%19836354.55%545383498160289145
3Canucks2200000010642200000010640000000000041.000101626003323232762692042421452911465240.00%30100.00%041776654.44%35568751.67%19836354.55%545383498160289145
4Comets11000000532110000005320000000000021.00051015003323232302692042421424310143133.33%40100.00%041776654.44%35568751.67%19836354.55%545383498160289145
5Crunch11000000624000000000001100000062421.000612180033232322926920424214368020100.00%000%041776654.44%35568751.67%19836354.55%545383498160289145
6Eagles11000000413110000004130000000000021.000481200332323238269204242142344166116.67%20100.00%041776654.44%35568751.67%19836354.55%545383498160289145
7Griffins1000010045-1000000000001000010045-110.500481200332323239269204242142194166116.67%220.00%041776654.44%35568751.67%19836354.55%545383498160289145
8Gulls21100000660110000002111010000045-120.500610160033232326326920424214601012376116.67%60100.00%041776654.44%35568751.67%19836354.55%545383498160289145
9Marlies1000000134-11000000134-10000000000010.50036900332323226269204242143812211300.00%10100.00%041776654.44%35568751.67%19836354.55%545383498160289145
10PenguinsF2110000067-11010000036-31100000031220.50061218003323232632692042421449162032200.00%10190.00%041776654.44%35568751.67%19836354.55%545383498160289145
11Phantoms1000010034-1000000000001000010034-110.5003580033232325226920424214266221300.00%000%041776654.44%35568751.67%19836354.55%545383498160289145
12Reign20002000642000000000002000200064241.000610160033232325026920424214653916213133.33%7185.71%041776654.44%35568751.67%19836354.55%545383498160289145
13Rocket11000000413110000004130000000000021.0004610003323232352692042421415416105120.00%20100.00%141776654.44%35568751.67%19836354.55%545383498160289145
14Wolf Pack1010000013-2000000000001010000013-200.0001230033232323126920424214381722193133.33%50100.00%041776654.44%35568751.67%19836354.55%545383498160289145
15Wolves11000000743110000007430000000000021.00071320003323232322692042421431126182150.00%3166.67%041776654.44%35568751.67%19836354.55%545383498160289145
Total221160220181651611820000145311411340220036342290.6598114923000332323272626920424214607187154365611321.31%57689.47%141776654.44%35568751.67%19836354.55%545383498160289145
_Since Last GM Reset221160220181651611820000145311411340220036342290.6598114923000332323272626920424214607187154365611321.31%57689.47%141776654.44%35568751.67%19836354.55%545383498160289145
_Vs Conference1475001015143874200001292367330010022202160.57151971480033232324602692042421438611610722935720.00%37391.89%141776654.44%35568751.67%19836354.55%545383498160289145

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2229L18114923072660718715436500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2211622018165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118200014531
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
113422003634
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611321.31%57689.47%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
269204242143323232
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
41776654.44%35568751.67%19836354.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
545383498160289145


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 - 2025-08-2811Gulls1Checkers2WSommaire du match
4 - 2025-08-3130Checkers1Wolf Pack3LSommaire du match
6 - 2025-09-0254Canucks2Checkers5WSommaire du match
7 - 2025-09-0355Checkers3Reign2WXSommaire du match
9 - 2025-09-0574Checkers3Reign2WXSommaire du match
11 - 2025-09-0793Rocket1Checkers4WSommaire du match
14 - 2025-09-10113Marlies4Checkers3LXXSommaire du match
16 - 2025-09-12126Checkers4Bears6LSommaire du match
18 - 2025-09-14146Checkers3PenguinsF1WSommaire du match
20 - 2025-09-16155Eagles1Checkers4WSommaire du match
23 - 2025-09-19178Checkers6Crunch2WSommaire du match
25 - 2025-09-21188Checkers4Americans2WSommaire du match
26 - 2025-09-22200Comets3Checkers5WSommaire du match
29 - 2025-09-25220Americans2Checkers1LSommaire du match
31 - 2025-09-27242PenguinsF6Checkers3LSommaire du match
33 - 2025-09-29257Checkers3Phantoms4LXSommaire du match
37 - 2025-10-03278Bears3Checkers6WSommaire du match
40 - 2025-10-06302Checkers4Gulls5LSommaire du match
42 - 2025-10-08313Wolves4Checkers7WSommaire du match
44 - 2025-10-10326Checkers4Griffins5LXSommaire du match
46 - 2025-10-12343Canucks4Checkers5WSommaire du match
48 - 2025-10-14357Checkers1Bears2LSommaire du match
50 - 2025-10-16372Checkers-Roadrunners-
51 - 2025-10-17381Rocket-Checkers-
55 - 2025-10-21405PenguinsF-Checkers-
57 - 2025-10-23425Checkers-Moose-
59 - 2025-10-25437Checkers-Crunch-
60 - 2025-10-26445Wolves-Checkers-
64 - 2025-10-30472Gulls-Checkers-
66 - 2025-11-01492Checkers-Moose-
68 - 2025-11-03504Bears-Checkers-
70 - 2025-11-05521Checkers-Barracuda-
72 - 2025-11-07535Phantoms-Checkers-
74 - 2025-11-09549Checkers-Phantoms-
76 - 2025-11-11566Phantoms-Checkers-
78 - 2025-11-13584Checkers-Comets-
80 - 2025-11-15599Marlies-Checkers-
82 - 2025-11-17616Checkers-Americans-
84 - 2025-11-19631Checkers-Icehogs-
85 - 2025-11-20637Islanders-Checkers-
89 - 2025-11-24665Moose-Checkers-
92 - 2025-11-27684Checkers-StarsF-
94 - 2025-11-29698Comets-Checkers-
96 - 2025-12-01714Checkers-Islanders-
98 - 2025-12-03728Wolf Pack-Checkers-
102 - 2025-12-07751Checkers-Islanders-
103 - 2025-12-08763Americans-Checkers-
107 - 2025-12-12788SenatorsF-Checkers-
110 - 2025-12-15813Checkers-Wolf Pack-
111 - 2025-12-16823Icehogs-Checkers-
114 - 2025-12-19841Checkers-Wolves-
115 - 2025-12-20853Admirals-Checkers-
119 - 2025-12-24877Checkers-Condors-
120 - 2025-12-25885Thunderbirds-Checkers-
123 - 2025-12-28914Islanders-Checkers-
124 - 2025-12-29922Checkers-PenguinsF-
128 - 2026-01-02946Firebirds-Checkers-
130 - 2026-01-04961Checkers-Comets-
132 - 2026-01-06979Eagles-Checkers-
135 - 2026-01-091000Checkers-Wolves-
137 - 2026-01-111012SenatorsF-Checkers-
139 - 2026-01-131030Checkers-BruinsF-
141 - 2026-01-151044BruinsF-Checkers-
144 - 2026-01-181064Checkers-Rocket-
146 - 2026-01-201077Wolf Pack-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-221093Checkers-SenatorsF-
150 - 2026-01-241108Silver Knights-Checkers-
151 - 2026-01-251117Checkers-SenatorsF-
155 - 2026-01-291140Iowa Wild-Checkers-
157 - 2026-01-311160Checkers-BruinsF-
159 - 2026-02-021173Crunch-Checkers-
162 - 2026-02-051192Checkers-Rocket-
163 - 2026-02-061202Crunch-Checkers-
167 - 2026-02-101224Checkers-Marlies-
168 - 2026-02-111235Firebirds-Checkers-
171 - 2026-02-141249Checkers-Marlies-
173 - 2026-02-161267Checkers-Wranglers-
174 - 2026-02-171270Moose-Checkers-
177 - 2026-02-201298Checkers-Wranglers-
178 - 2026-02-211303Checkers-Reign-
179 - 2026-02-221307Checkers-Firebirds-
181 - 2026-02-241319BruinsF-Checkers-
182 - 2026-02-251332Checkers-Firebirds-
183 - 2026-02-261344Monsters-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4832
Assistance20,0199,817
Assistance PCT91.00%89.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
31 2712 - 90.41% 181,989$2,001,879$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
868,991$ 3,085,000$ 3,085,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 842,373$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,641,659$ 135 17,310$ 2,336,850$




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