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Wolverines
GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 4 | GA: 6 | PP%: 0.00% | PK%: 50.00%
DG: Alexandre Bouchard | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #38 vs Hydra

Centre de jeu
Auroras
1-0-0, 2pts
3
2 Wolverines
0-2-0, 0pts
Team Stats
W1SéquenceL2
0-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-1-0
1-0-0Derniers 10 matchs0-2-0
3.00Buts par match 2.00
2.00Buts contre par match 3.00
50.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique50.00%
Wolverines
0-2-0, 0pts
2
3 Kings
2-0-0, 4pts
Team Stats
L2SéquenceW2
0-1-0Fiche domicile1-0-0
0-1-0Fiche domicile1-0-0
0-2-0Derniers 10 matchs2-0-0
2.00Buts par match 5.00
3.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique25.00%
50.00%Pourcentage en désavantage numérique75.00%
Hydra
1-1-0, 2pts
2026-06-18
Wolverines
0-2-0, 0pts
Statistiques d’équipe
L1SéquenceL2
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-2-0
2.00Buts par match 2.00
3.50Buts contre par match 2.00
20.00%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique50.00%
Wolverines
0-2-0, 0pts
2026-06-19
Devils
1-1-0, 2pts
Statistiques d’équipe
L2SéquenceW1
0-1-0Fiche domicile0-0-0
0-1-0Fiche visiteur1-1-0
0-2-010 derniers matchs1-1-0
2.00Buts par match 3.50
3.00Buts contre par match 3.50
0.00%Pourcentage en avantage numérique0.00%
50.00%Pourcentage en désavantage numérique50.00%
Wolverines
0-2-0, 0pts
2026-06-21
Vipers
1-0-0, 2pts
Statistiques d’équipe
L2SéquenceW1
0-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-2-010 derniers matchs1-0-0
2.00Buts par match 5.00
3.00Buts contre par match 5.00
0.00%Pourcentage en avantage numérique33.33%
50.00%Pourcentage en désavantage numérique0%
Meneurs d'équipe
Buts
Jochen Sieger
2
Passes
Sarno Huopio
2
Points
Jochen Sieger
3
Plus/Moins
Marcel Blazik
2
Victoires
Daulton Gammond
0
Pourcentage d’arrêts
Daulton Gammond
0.906

Statistiques d’équipe
Buts pour
4
2.00 GFG
Tirs pour
61
30.50 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
35.0%
Buts contre
6
3.00 GAA
Tirs contre
64
32.00 Avg
Pourcentage en désavantage numérique
50.0%%
2 GA
Début de la zone défensive
45.0%
Informations de l'équipe

Directeur généralAlexandre Bouchard
EntraîneurWolf-Dieter Niemeyer
DivisionNorthwest
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance2,893
Billets de saison1,250


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite Contrat47 / 55
Espoirs2


Historique d'équipe

Saison actuelle0-2-0 (0PTS)
Historique197-166-63 (0.462%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)14 - 16 (0.467%)
Coupe Stanley0


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
1Jochen Sieger11X98.0042678174849164898684598058569741507702741,250,000$
2Jayce Petrie83X100.007069947192827292808438738650600507703711,400,000$
3Riordan Winstone9X100.008753989763758867964577825236465507603511,950,000$
4R.J. Upton79X100.009061916183946174798764599468360507603511,100,000$
5Erwin Haberer (R)80X100.006566867877767077727166867764747850750192900,000$
6Marcel Blazik (R)22X100.007461877367787693606492566774636850740203900,000$
7Caspar Reichelt (R)71X100.008667726877738575587084656760698450740193900,000$
8Jesse-Petteri Ivari (R)10X98.006768787877756853697084908164686550740183900,000$
9Pavlo Benard81X100.00416780626889518465875892398854050730381965,000$
10Fyodor Romantsev28X100.005638886449788390865882797966980507303611,500,000$
11Sarno Huopio25X98.00926866856264859870717144906756850730332900,000$
12Sigvard Ukkola64X100.009348868679795190908043416459591750720321950,000$
13Lubos Gebauer (R)48X100.0051616487819076787676806485836457507701921,000,000$
14Pasi-Pekka Hoikkala (R)60X100.0069656769858576678174847974836060507601831,000,000$
15Grayson Jambrosich47X100.007466739290666767256950763464642507403511,350,000$
16Daryl Goyer (R)73X100.003452906758859782253959962893535550690242775,000$
17Damien Mosienko (R)57X100.0072337985276267692567409786945065506502311,999,999$
18Trevor Marcoux (R)56X100.003644918130816081253364868654736250600221800,000$
Rayé
1Valery Kolesnikov46X100.009845647668837785734777929275665507503311,800,000$
2Ernest Champlin82X100.006442825793805183738662645566661050730341700,000$
3Stephan Audet0X100.00635296649292696189563383719671250700371790,000$
4Riley Antisin (R)85X100.0027428366576166825992873076327049506702511,427,924$
5Valentin Akerblom (R)72X100.008147608241695564985751879568566950650231820,549$
6Wilhelm Billberg (R)40X100.003334738946777072626356546335536250640231800,000$
7Ronald Duco8X100.00416489664991889325717370958084450730361965,000$
8Peyton Fennell0X100.007635896167696488256934759770781250680341715,000$
MOYENNE D’ÉQUIPE99.77655481756879717964686473736765345072
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
1Daulton Gammond7598.006990668478987985727587288653508002421,995,000$
2Patrick Carlyle35100.007157649297688168947155284653507602411,995,000$
Rayé
1Blaine Trevisani (R)1100.006869767769748760647889425465507202221,300,000$
MOYENNE D’ÉQUIPE99.3369726984818082717775773362575076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wolf-Dieter Niemeyer95953445997370GER562800,000$


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
1Jochen SiegerWolverines (TRI)C2213-1002291522.22%04321.7700006000000047.62%6301001.3800000010
2Sarno HuopioWolverines (TRI)LW2022-100809350%03618.180001500000000%220001.1000000001
3Marcel BlazikWolverines (TRI)LW220221752042650.00%03015.070000500000000%001001.3300100100
4Lubos GebauerWolverines (TRI)D2011-200124420%34422.090000900002000%021000.4500000000
5Caspar ReicheltWolverines (TRI)RW2011100642130%13517.510000600000000%122000.5700000001
6Pasi-Pekka HoikkalaWolverines (TRI)D2011-175303120%24522.850000600002000%015000.4400001000
7Pavlo BenardWolverines (TRI)C2000055001420%22613.3200001000030050.00%142100000010000
8Sigvard UkkolaWolverines (TRI)RW2000000224020%02512.580000100000000%01000000000000
9Riordan WinstoneWolverines (TRI)C2000000113010%02010.450000000002000%42100000000000
10R.J. UptonWolverines (TRI)LW2000000314220%22412.220001700000000%00000000000000
11Fyodor RomantsevWolverines (TRI)LW2000000010230%02512.610000100000000%00000000000000
12Damien MosienkoWolverines (TRI)D2000040103020%13216.430000300002000%00100000000000
13Jayce PetrieWolverines (TRI)RW2000000100020%0157.890000000000000%01000000000000
14Grayson JambrosichWolverines (TRI)D2000200233010%34221.240000100000000%00100000000000
15Daryl GoyerWolverines (TRI)D2000100022110%13819.180000000003000%00400000000000
16Trevor MarcouxWolverines (TRI)D2000000102000%22914.550000000002000%00000000000000
17Erwin HabererWolverines (TRI)C2000055346100%33618.4100006000120044.12%340000000001000
18Jesse-Petteri IvariWolverines (TRI)RW2000-100322030%04020.2800006000030050.00%20000000000000
Statistiques d’équipe totales ou en moyenne3646100382039246122426.56%2059316.480002690001260044.17%1201318000.3400112112
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
1Daulton GammondWolverines (TRI)20200.9063.051180066421000020000
Statistiques d’équipe totales ou en moyenne20200.9063.05118006642100020000


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
Blaine TrevisaniWolverines (TRI)G222006-09-19CANYes177 Lbs5 ft8NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm1,300,000$130,000$128,231$No1,300,000$--------1,300,000$--------No--------
Caspar ReicheltWolverines (TRI)RW192009-01-14GERYes250 Lbs6 ft10NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$88,776$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Damien MosienkoWolverines (TRI)D232005-04-08CANYes235 Lbs6 ft4NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,999,999$200,000$197,279$No---------------------------
Daryl GoyerWolverines (TRI)D242004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm775,000$77,500$76,446$No775,000$--------775,000$--------No--------
Daulton GammondWolverines (TRI)G242004-11-08CANNo184 Lbs5 ft6NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,995,000$199,500$196,786$No1,995,000$--------1,995,000$--------No--------
Ernest ChamplinWolverines (TRI)LW341994-01-16USANo189 Lbs5 ft8NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm700,000$70,000$69,048$No---------------------------
Erwin HabererWolverines (TRI)C192009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$88,776$No900,000$--------900,000$--------No--------
Fyodor RomantsevWolverines (TRI)LW361992-01-10RUSNo168 Lbs5 ft8NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,500,000$150,000$147,959$No---------------------------
Grayson JambrosichWolverines (TRI)D351993-03-25CANNo206 Lbs6 ft4NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,350,000$135,000$133,163$No---------------------------
Jayce PetrieWolverines (TRI)RW371991-07-09USANo215 Lbs6 ft0NoNoAssign Manually2024-02-11NoNo12025-10-26FalseFalsePro & Farm1,400,000$140,000$138,095$No---------------------------
Jesse-Petteri IvariWolverines (TRI)RW182010-02-05FINYes181 Lbs5 ft11NoNoDraftNoNo32026-05-19FalseFalsePro & Farm900,000$90,000$88,776$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jochen SiegerWolverines (TRI)C272001-06-16GERNo246 Lbs6 ft6NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,250,000$125,000$123,299$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Lubos GebauerWolverines (TRI)D192009-08-01CZEYes207 Lbs6 ft0NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$100,000$98,639$No1,000,000$--------1,000,000$--------No--------
Marcel BlazikWolverines (TRI)LW202008-05-14CZEYes192 Lbs6 ft4NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$88,776$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Pasi-Pekka HoikkalaWolverines (TRI)D182010-02-10FINYes202 Lbs6 ft2NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$100,000$98,639$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Patrick CarlyleWolverines (TRI)G242004-12-10CANNo241 Lbs6 ft5NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,995,000$199,500$196,786$No---------------------------
Pavlo BenardWolverines (TRI)C381990-11-08CANNo184 Lbs5 ft10NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm965,000$96,500$95,187$No---------------------------
Peyton FennellWolverines (TRI)D341994-08-27CANNo219 Lbs6 ft2NoNoAssign Manually2025-03-09NoNo12025-10-26FalseFalsePro & Farm715,000$71,500$70,527$No---------------------------
R.J. UptonWolverines (TRI)LW351993-01-07CANNo187 Lbs5 ft5NoNoFree Agent2024-02-05NoNo12026-06-03FalseFalsePro & Farm1,100,000$110,000$108,503$No---------------------------
Riley AntisinWolverines (TRI)C252003-08-20CANYes202 Lbs6 ft3NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,427,924$142,792$140,849$No---------------------------
Riordan WinstoneWolverines (TRI)C351993-04-03USANo215 Lbs6 ft2NoNoFree AgentNoNo12026-06-01FalseFalsePro & Farm1,950,000$195,000$192,347$No---------------------------
Ronald DucoWolverines (TRI)D361992-09-20CANNo216 Lbs6 ft7NoNoFree AgentNoNo12026-06-15FalseFalsePro & Farm965,000$96,500$95,187$No---------------------------
Sarno HuopioWolverines (TRI)LW331995-06-23FINNo170 Lbs5 ft7NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$90,000$88,776$No900,000$--------900,000$--------No--------
Sigvard UkkolaWolverines (TRI)RW321996-03-01FINNo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm950,000$95,000$93,707$No---------------------------
Stephan AudetWolverines (TRI)RW371991-04-24USANo176 Lbs5 ft7NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm790,000$79,000$77,925$No---------------------------
Trevor MarcouxWolverines (TRI)D222006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo12025-02-21FalseFalsePro & Farm800,000$80,000$78,912$No---------------------------
Valentin AkerblomWolverines (TRI)C232005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm820,549$82,055$80,939$No---------------------------
Valery KolesnikovWolverines (TRI)RW331995-07-02RUSNo179 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,800,000$180,000$177,551$No---------------------------
Wilhelm BillbergWolverines (TRI)LW232005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo12025-02-18FalseFalsePro & Farm800,000$80,000$78,912$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2927.76198 Lbs6 ft01.591,167,189$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marcel BlazikErwin HabererCaspar Reichelt35014
2Sarno HuopioJochen SiegerJesse-Petteri Ivari35023
3Fyodor RomantsevPavlo BenardSigvard Ukkola20122
4R.J. UptonRiordan WinstoneJayce Petrie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala35122
2Grayson JambrosichDaryl Goyer35122
3Damien MosienkoTrevor Marcoux20122
4Pasi-Pekka HoikkalaGrayson Jambrosich10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marcel BlazikErwin HabererSarno Huopio50122
2Caspar ReicheltJochen SiegerJesse-Petteri Ivari50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala50122
2Lubos GebauerR.J. Upton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Erwin HabererJesse-Petteri Ivari50122
2Pavlo BenardRiordan Winstone50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pasi-Pekka HoikkalaDamien Mosienko50122
2Daryl GoyerTrevor Marcoux50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Erwin Haberer50122Pasi-Pekka HoikkalaDaryl Goyer50122
2Pavlo Benard50122Grayson JambrosichDamien Mosienko50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Erwin HabererJesse-Petteri Ivari50122
2Jochen SiegerCaspar Reichelt50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pasi-Pekka HoikkalaLubos Gebauer50122
2Daryl GoyerGrayson Jambrosich50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayce PetrieJochen SiegerRiordan WinstoneLubos GebauerPasi-Pekka Hoikkala
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayce PetrieJochen SiegerRiordan WinstoneLubos GebauerPasi-Pekka Hoikkala
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Erwin Haberer, Jochen Sieger, Riordan WinstoneErwin Haberer, Jesse-Petteri IvariJochen Sieger
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pasi-Pekka Hoikkala, Lubos Gebauer, Grayson JambrosichPasi-Pekka HoikkalaLubos Gebauer, Pasi-Pekka Hoikkala
Tirs de pénalité
Erwin Haberer, Jochen Sieger, Riordan Winstone, Jesse-Petteri Ivari, Jayce Petrie
Gardien
#1 : Daulton Gammond, #2 : Patrick Carlyle
Lignes d’attaque personnalisées en prolongation
Jochen Sieger, Erwin Haberer, Riordan Winstone, Jesse-Petteri Ivari, Jayce Petrie, Caspar Reichelt, Pavlo Benard, R.J. Upton, Marcel Blazik, Sarno Huopio
Lignes de défense personnalisées en prolongation
Pasi-Pekka Hoikkala, Lubos Gebauer, Grayson Jambrosich, Daryl Goyer, Damien Mosienko


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
1Auroras1010000023-11010000023-10000000000000.0002240012103224162102262420500.00%2150.00%0244257.14%185433.33%112445.83%432542173317
2Kings1010000023-1000000000001010000023-100.00024600121029241621042141419200.00%2150.00%0244257.14%185433.33%112445.83%432542173317
Total2020000046-21010000023-11010000023-100.000461000121061241621064203839700.00%4250.00%0244257.14%185433.33%112445.83%432542173317
_Since Last GM Reset2020000046-21010000023-11010000023-100.000461000121061241621064203839700.00%4250.00%0244257.14%185433.33%112445.83%432542173317
_Vs Conference2020000046-21010000023-11010000023-100.000461000121061241621064203839700.00%4250.00%0244257.14%185433.33%112445.83%432542173317
_Vs Division2010000046-21010000023-11000000023-100.000461000121061241621064203839700.00%4250.00%0244257.14%185433.33%112445.83%432542173317

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
20L24610616420383900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
202000046
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000023
Derniers 10 matchs
WLOTWOTL SOWSOL
020000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
700.00%4250.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
24162101210
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
244257.14%185433.33%112445.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
432542173317


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 - 2026-06-1412Auroras3Wolverines2LSommaire du match
2 - 2026-06-1515Wolverines2Kings3LSommaire du match
5 - 2026-06-1838Hydra-Wolverines-
6 - 2026-06-1943Wolverines-Devils-
8 - 2026-06-2164Wolverines-Vipers-
9 - 2026-06-2272Auroras-Wolverines-
11 - 2026-06-2483Wolverines-Stingers-
13 - 2026-06-26103Spartans-Wolverines-
15 - 2026-06-28110Wolverines-Jacks-
17 - 2026-06-30128Wolverines-Hornets-
19 - 2026-07-02143Wolverines-Rock-
20 - 2026-07-03156Phantoms-Wolverines-
22 - 2026-07-05168Northmen-Wolverines-
24 - 2026-07-07182Vipers-Wolverines-
25 - 2026-07-08188Drillers-Wolverines-
27 - 2026-07-10208Wolverines-Yeti-
29 - 2026-07-12209Wolverines-Auroras-
30 - 2026-07-13227Comets-Wolverines-
32 - 2026-07-15240Phantoms-Wolverines-
34 - 2026-07-17259Wolfpack-Wolverines-
36 - 2026-07-19272Rock-Wolverines-
38 - 2026-07-21286Wolverines-Wolfpack-
40 - 2026-07-23299Hornets-Wolverines-
41 - 2026-07-24304Wolverines-Hydra-
43 - 2026-07-26325Jacks-Wolverines-
45 - 2026-07-28337Bulldogs-Wolverines-
46 - 2026-07-29345Yeti-Wolverines-
48 - 2026-07-31356Wolverines-Guppies-
50 - 2026-08-02370Wolverines-Hornets-
51 - 2026-08-03379Wolverines-Devils-
53 - 2026-08-05397Crusaders-Wolverines-
55 - 2026-08-07406Wolverines-Drillers-
57 - 2026-08-09429Hornets-Wolverines-
59 - 2026-08-11441Stingers-Wolverines-
60 - 2026-08-12448Wolverines-Spartans-
62 - 2026-08-14468Vipers-Wolverines-
64 - 2026-08-16475Wolverines-Rampage-
66 - 2026-08-18490Wolverines-Jacks-
68 - 2026-08-20507Yeti-Wolverines-
69 - 2026-08-21520Drillers-Wolverines-
71 - 2026-08-23521Wolverines-Crusaders-
72 - 2026-08-24540Swamp Puppies-Wolverines-
74 - 2026-08-26549Wolverines-Jazz-
76 - 2026-08-28572Devils-Wolverines-
78 - 2026-08-30579Wolverines-Phantoms-
80 - 2026-09-01594Wolverines-Schooners-
81 - 2026-09-02605Wolverines-Yeti-
83 - 2026-09-04612Wolverines-Auroras-
85 - 2026-09-06634Wolverines-Wild Wings-
88 - 2026-09-09649Wolverines-Bulldogs-
90 - 2026-09-11668Wolverines-Kings-
92 - 2026-09-13676Wolverines-Comets-
94 - 2026-09-15700Jazz-Wolverines-
95 - 2026-09-16705Wolverines-Swamp Puppies-
97 - 2026-09-18724Jacks-Wolverines-
99 - 2026-09-20729Wolverines-Drillers-
100 - 2026-09-21745Wolverines-Yeti-
103 - 2026-09-24763Yeti-Wolverines-
104 - 2026-09-25775Wolfpack-Wolverines-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27787Rampage-Wolverines-
107 - 2026-09-28794Drillers-Wolverines-
110 - 2026-10-01808Wolverines-Auroras-
111 - 2026-10-02826Schooners-Wolverines-
113 - 2026-10-04837Kings-Wolverines-
114 - 2026-10-05841Wolverines-Jacks-
118 - 2026-10-09875Yeti-Wolverines-
120 - 2026-10-11881Wolverines-Outlaws-
123 - 2026-10-14903Auroras-Wolverines-
125 - 2026-10-16915Wolverines-Drillers-
127 - 2026-10-18934Jacks-Wolverines-
128 - 2026-10-19943Guppies-Wolverines-
130 - 2026-10-21946Wolverines-Northmen-
132 - 2026-10-23968Drillers-Wolverines-
134 - 2026-10-25978Outlaws-Wolverines-
135 - 2026-10-26980Wolverines-Guppies-
137 - 2026-10-28995Auroras-Wolverines-
139 - 2026-10-30996Wolverines-Auroras-
141 - 2026-11-011017Wild Wings-Wolverines-
142 - 2026-11-021022Wolverines-Yeti-
144 - 2026-11-041029Wolverines-Jacks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance1,8931,000
Assistance PCT63.10%50.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
39 2893 - 57.86% 105,631$105,631$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
56,280$ 3,384,847$ 3,384,847$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,384,847$ 45,396$ 29 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 145 28,468$ 4,127,860$




Wolverines 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
1Ryder Schellenberg347109112221-422830432290812.00%88574816.57201939570001111136.27%30.7700
2Jochen Sieger261741071812827029851159712.40%112489518.76162440472351710248.73%00.74313
3Waldemar Janne239531001531620669632346311.45%101441418.47421252121359430.83%00.69112
4Michal Stellon144546812216644729336514.79%70290520.18118191811298944.77%00.84322
5Jonathan Sharpley18997887-21382573663502.57%230425022.4941317230224220%00.4100

Wolverines 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
1Pascal Lord125674390.9222.28721783274351914321040.68025
2Daulton Gammond94483570.9212.3954844121827581185810.72540
3Patrick Carlyle883529170.9152.5850176121625511286210.68050
4Antonio Jean2515900.9182.3914562258711344110.6673
5Blaine Trevisani2181100.8863.6412052173638326110.8336

Wolverines 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
18035310741220318716402213041001229428401318033128193-129220333754034477870112219644819720492336735108220571625232.10%1775171.19%3740151948.72%834174647.77%499104047.98%171496116337241486744
2802729013245205194114014130612411110294013160712194922952053315360142588820194251559976885238982271119641514831.79%1834973.22%4647131949.05%921183550.19%517102050.69%154177217377691587806
3803129011252211202940141607120102993401713041321091036982113415523142837022232272682972076246181777218621543422.08%1874675.40%2842159752.72%947194248.76%580112151.74%168495417167251464736
480233905346200233-3340141802132111121-10409210321489112-23732003275271133837511222966177577548244185679919481372921.17%1593776.73%3677152544.39%798175245.55%507107547.16%1729101617107161421701
580233604548207256-4940141702115111128-17409190243396128-32752073335402242787911213460573775282253882267018941382417.39%1603776.88%3716147848.44%767162647.17%543111548.70%1734100317017081439731
62020000046-21010000023-11010000023-10461000121061241621064203839700.00%4250.00%0244257.14%185433.33%112445.83%432542173317
Total Saison régulière40213916604016182310301078-4820178780215811559547122016188019111012471531-604331030167527059920738238375109073175377537563401222940724072976474918724.97%87022274.48%153646748048.74%4285895547.85%2657539549.25%844847348543366074333736
Séries éliminatoires
11367000002735-8624000001015-5743000001720-3122742690069111387128144111445913017228030723.33%311067.74%011525245.63%15033644.64%8218544.32%282165282115226116
211650000037334514000001520-5651000002213912375996001414813211031071011033811687241291137.93%311164.52%010820054.00%13727649.64%7715649.36%228127239102205103
3624000001117-631200000610-43120000057-24111627103521124324243719971411324250.00%13561.54%16011253.57%7813956.12%457857.69%112541405512062
Total Séries éliminatoires301416000007585-1014410000003145-14161060000044404287511719210232821383226329325521996317300653632031.75%752665.33%128356450.18%36575148.60%20441948.69%623348662274551282

Wolverines 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
1Arnt Pfeffer11212144102916267.69%1528926.3416740000000%00.9700
2Forester OCorley3041014294339419.76%1052817.61246400001057.45%00.5300
3Von Holtston3068140172150678.96%1552817.61044400001143.59%00.5300
4Rabbe Okker1957124213729588.62%1848725.6431460000110%00.4900
5Gordon Peltokangas116392822153616.67%424222.02213300000041.67%00.7400

Wolverines 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
1Pascal Lord156810.9172.8092300435202301000
2Antonio Jean74110.9142.663380015174821000
3Daulton Gammond104320.9142.7257340263011190100