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Wolverines
GP: 52 | W: 21 | L: 25 | OTL: 6 | P: 48
GF: 151 | GA: 162 | PP%: 23.08% | PK%: 70.31%
DG: Alexandre Bouchard | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #700 vs Jazz

Centre de jeu
Wolverines
21-25-6, 48pts
4
1 Kings
26-17-10, 62pts
Team Stats
W2SéquenceW1
10-12-2Fiche domicile13-9-4
11-13-4Fiche domicile13-8-6
6-4-0Derniers 10 matchs6-3-1
2.90Buts par match 3.28
3.12Buts contre par match 3.13
23.08%Pourcentage en avantage numérique29.75%
70.31%Pourcentage en désavantage numérique65.35%
Wolverines
21-25-6, 48pts
4
3 Comets
34-13-6, 74pts
Team Stats
W2SéquenceSOL1
10-12-2Fiche domicile15-6-6
11-13-4Fiche domicile19-7-0
6-4-0Derniers 10 matchs6-3-1
2.90Buts par match 3.49
3.12Buts contre par match 2.75
23.08%Pourcentage en avantage numérique26.00%
70.31%Pourcentage en désavantage numérique72.88%
Jazz
23-23-7, 53pts
2026-09-15
Wolverines
21-25-6, 48pts
Statistiques d’équipe
W3SéquenceW2
13-12-3Fiche domicile10-12-2
10-11-4Fiche visiteur11-13-4
6-3-110 derniers matchs6-4-0
3.15Buts par match 2.90
3.53Buts contre par match 2.90
25.19%Pourcentage en avantage numérique23.08%
80.00%Pourcentage en désavantage numérique70.31%
Wolverines
21-25-6, 48pts
2026-09-16
Swamp Puppies
28-17-8, 64pts
Statistiques d’équipe
W2SéquenceW1
10-12-2Fiche domicile13-8-3
11-13-4Fiche visiteur15-9-5
6-4-010 derniers matchs5-4-1
2.90Buts par match 3.34
3.12Buts contre par match 3.34
23.08%Pourcentage en avantage numérique30.28%
70.31%Pourcentage en désavantage numérique79.31%
Jacks
27-21-4, 58pts
2026-09-18
Wolverines
21-25-6, 48pts
Statistiques d’équipe
L1SéquenceW2
14-11-1Fiche domicile10-12-2
13-10-3Fiche visiteur11-13-4
7-3-010 derniers matchs6-4-0
3.35Buts par match 2.90
3.37Buts contre par match 2.90
31.82%Pourcentage en avantage numérique23.08%
76.16%Pourcentage en désavantage numérique70.31%
Meneurs d'équipe
Buts
Jochen Sieger
29
Passes
Jochen Sieger
30
Points
Jochen Sieger
59
Plus/Moins
Jochen Sieger
11
Victoires
Daulton Gammond
14
Pourcentage d’arrêts
Patrick Carlyle
0.908

Statistiques d’équipe
Buts pour
151
2.90 GFG
Tirs pour
1658
31.88 Avg
Pourcentage en avantage numérique
23.1%
24 GF
Début de zone offensive
36.2%
Buts contre
162
3.12 GAA
Tirs contre
1641
31.56 Avg
Pourcentage en désavantage numérique
70.3%%
38 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralAlexandre Bouchard
EntraîneurWolf-Dieter Niemeyer
DivisionNorthwest
ConférenceWestern Conference
CapitaineJochen Sieger
Assistant #1
Assistant #2Erwin Haberer


Informations de l’aréna

Capacité5,000
Assistance4,628
Billets de saison1,250


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite Contrat47 / 55
Espoirs2


Historique d'équipe

Saison actuelle21-25-6 (48PTS)
Historique218-189-67 (0.460%)
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 Sieger (C)11X99.0042678174849164898684598058569741507702741,250,000$
2Riordan Winstone9X100.008753989763758867964577825236465507603511,950,000$
3R.J. Upton79X100.009061916183946174798764599468360507603511,100,000$
4Valery Kolesnikov46X100.009845647668837785734777929275665507503311,800,000$
5Erwin Haberer (R) (A)80X100.006566867877767077727166867764747850750192900,000$
6Marcel Blazik (R)22X100.007461877367787693606492566774636850740203900,000$
7Caspar Reichelt (R)71X100.008667726877738575587084656760698450740193900,000$
8Jesse-Petteri Ivari (R)10X100.006768787877756853697084908164686550740183900,000$
9Ernest Champlin82X100.006442825793805183738662645566661050730341700,000$
10Fyodor Romantsev28X100.005638886449788390865882797966980507303611,500,000$
11Sarno Huopio25X100.00926866856264859870717144906756850730332900,000$
12Sigvard Ukkola64X100.009348868679795190908043416459591750720321950,000$
13Pasi-Pekka Hoikkala (R)60X100.0069656769858576678174847974836060507601831,000,000$
14Grayson Jambrosich47X100.007466739290666767256950763464642507403511,350,000$
15Ronald Duco8X100.00416489664991889325717370958084450730361965,000$
16Zackary Rothschild23X100.0044499188419465772580549741699724507103031,900,000$
17Daryl Goyer (R)73X100.003452906758859782253959962893535550690242775,000$
18Damien Mosienko (R)57X100.0072337985276267692567409786945065506502311,999,999$
Rayé
1Pavlo Benard81X100.00416780626889518465875892398854050730381965,000$
2Stephan Audet0X100.00635296649292696189563383719671250700371790,000$
3Riley Antisin (R)85X100.0027428366576166825992873076327049506702511,427,924$
4Valentin Akerblom (R)72X100.008147608241695564985751879568566950650231820,549$
5Wilhelm Billberg (R)40X100.003334738946777072626356546335536250640231800,000$
6Peyton Fennell0X95.967635896167696488256934759770781250680341715,000$
7Trevor Marcoux (R)56X100.003644918130816081253364868654736250600221800,000$
MOYENNE D’ÉQUIPE99.80645382756579707862686474706766345071
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 Gammond75100.006990668478987985727587288653508002421,995,000$
2Patrick Carlyle3599.007157649297688168947155284653507602411,995,000$
Rayé
1Blaine Trevisani (R)1100.006869767769748760647889425465507202221,300,000$
MOYENNE D’ÉQUIPE99.6769726984818082717775773362575076
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)C4529305911605064871755911316.57%2294921.09551012571013533150.35%9932320021.2413613443
2Marcel BlazikWolverines (TRI)LW52192039779356859217541518.76%1089917.301671169000003045.24%422913010.8700322334
3Erwin HabererWolverines (TRI)C52151833-1089458597142437010.56%3292817.86461013710005742243.69%8952218000.7102216231
4R.J. UptonWolverines (TRI)LW521319326311510456113435611.50%1992217.743477620003514149.33%751615100.6912102214
5Jayce PetrieTridentRW47121729417157349101356211.88%2570314.960441380000290241.55%2071615000.8200120213
6Caspar ReicheltWolverines (TRI)RW5281523569251255710430547.69%2683716.11235447000081238.18%552916000.5512221012
7Fyodor RomantsevWolverines (TRI)LW5211819640755984294113.10%968213.130000190000172150.00%401515000.5612000011
8Grayson JambrosichWolverines (TRI)D52314174804090975831275.17%67122123.49000049000161020%02342000.2800404111
9Jesse-Petteri IvariWolverines (TRI)RW5251015-10583095806020468.33%2094818.243477710000280048.21%561617000.3211213010
10Valery KolesnikovWolverines (TRI)RW3495147315533576194511.84%1347914.110111270001291034.69%49179000.5803010111
11Riordan WinstoneWolverines (TRI)C28671334042507415458.11%1048817.451011110001290048.48%3611414000.5303000020
12Pasi-Pekka HoikkalaWolverines (TRI)D4811213-710260111966230331.61%54123025.63123574000076010%02647000.2100534001
13Sarno HuopioWolverines (TRI)LW4221012-9342047135634403.57%73448.20011325000070033.33%27142000.7000013002
14Lubos GebauerTridentD2321012-4281033424921314.08%3154123.56156452011021000%01920000.4400002000
15Daryl GoyerWolverines (TRI)D52279-1371523865629203.57%65115122.14112656000095000%0546000.1600021010
16Pavlo BenardWolverines (TRI)C423580392520504718316.38%84179.94000050003330044.02%209412000.3800221000
17Ernest ChamplinWolverines (TRI)LW34448-72033282981713.79%33089.071122100000200057.69%2656000.5200000020
18Ronald DucoWolverines (TRI)D361672121025555418161.85%3176121.15112335000148000%01424000.1800200000
19Peyton FennellWolverines (TRI)D3006652015309480%2039113.04000010000017000%1113000.3100000000
20Damien MosienkoWolverines (TRI)D49066524038512810160%2564013.08000017000035000%0420000.1900000000
21Riley AntisinWolverines (TRI)C17134-50033218164.76%21448.4800000000001032.76%5851000.5500000000
22Sigvard UkkolaWolverines (TRI)RW18123-275257243144.17%118410.2700004000000025.00%441000.3200010000
23Trevor MarcouxWolverines (TRI)D180220121011215480%526114.5100000000028000%016000.1500200000
24Stephan AudetWolverines (TRI)RW5000-200553020%0387.72000000000000100.00%10100000000000
25Zackary RothschildWolverines (TRI)D4000000051000%0338.370000200000000%00000000000000
Statistiques d’équipe totales ou en moyenne93614723638388214151253120916585659628.87%5051551016.572444688082111218770171246.14%3099322393130.49518321932152223
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)36141340.9013.021984021001015444300.769133418422
2Patrick CarlyleWolverines (TRI)2171120.9082.9211320055597286100.80051829001
3Blaine TrevisaniWolverines (TRI)10100.8289.09330052914000005000
Statistiques d’équipe totales ou en moyenne58212560.9023.05314902160164174440185252423


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$47,755$No1,300,000$--------1,300,000$--------No--------
Caspar ReicheltWolverines (TRI)RW192009-01-14GERYes250 Lbs6 ft10NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$33,061$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$73,469$No---------------------------
Daryl GoyerWolverines (TRI)D242004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm775,000$77,500$28,469$No775,000$--------775,000$--------No--------
Daulton GammondWolverines (TRI)G242004-11-08CANNo184 Lbs5 ft6NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,995,000$199,500$73,286$No1,995,000$--------1,995,000$--------No--------
Ernest ChamplinWolverines (TRI)LW341994-01-16USANo189 Lbs5 ft8NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm700,000$70,000$25,714$No---------------------------
Erwin HabererWolverines (TRI)C192009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$33,061$No900,000$--------900,000$--------No--------
Fyodor RomantsevWolverines (TRI)LW361992-01-10RUSNo168 Lbs5 ft8NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,500,000$150,000$55,102$No---------------------------
Grayson JambrosichWolverines (TRI)D351993-03-25CANNo206 Lbs6 ft4NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,350,000$135,000$49,592$No---------------------------
Jesse-Petteri IvariWolverines (TRI)RW182010-02-05FINYes181 Lbs5 ft11NoNoDraftNoNo32026-05-19FalseFalsePro & Farm900,000$90,000$33,061$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$45,918$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Marcel BlazikWolverines (TRI)LW202008-05-14CZEYes192 Lbs6 ft4NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$33,061$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$36,735$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$73,286$No---------------------------
Pavlo BenardWolverines (TRI)C381990-11-08CANNo184 Lbs5 ft10NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm965,000$96,500$35,449$No---------------------------
Peyton FennellWolverines (TRI)D341994-08-27CANNo219 Lbs6 ft2NoNoAssign Manually2025-03-09NoNo12025-10-26FalseFalsePro & Farm715,000$71,500$26,265$No---------------------------
R.J. UptonWolverines (TRI)LW351993-01-07CANNo187 Lbs5 ft5NoNoFree Agent2024-02-05NoNo12026-06-03FalseFalsePro & Farm1,100,000$110,000$40,408$No---------------------------
Riley AntisinWolverines (TRI)C252003-08-20CANYes202 Lbs6 ft3NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,427,924$142,792$52,454$No---------------------------
Riordan WinstoneWolverines (TRI)C351993-04-03USANo215 Lbs6 ft2NoNoFree AgentNoNo12026-06-01FalseFalsePro & Farm1,950,000$195,000$71,633$No---------------------------
Ronald DucoWolverines (TRI)D361992-09-20CANNo216 Lbs6 ft7NoNoFree AgentNoNo12026-06-15FalseFalsePro & Farm965,000$96,500$35,449$No---------------------------
Sarno HuopioWolverines (TRI)LW331995-06-23FINNo170 Lbs5 ft7NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$90,000$33,061$No900,000$--------900,000$--------No--------
Sigvard UkkolaWolverines (TRI)RW321996-03-01FINNo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm950,000$95,000$34,898$No---------------------------
Stephan AudetWolverines (TRI)RW371991-04-24USANo176 Lbs5 ft7NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm790,000$79,000$29,020$No---------------------------
Trevor MarcouxWolverines (TRI)D222006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo12025-02-21FalseFalsePro & Farm800,000$80,000$29,388$No---------------------------
Valentin AkerblomWolverines (TRI)C232005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm820,549$82,055$30,143$No---------------------------
Valery KolesnikovWolverines (TRI)RW331995-07-02RUSNo179 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,800,000$180,000$66,122$No---------------------------
Wilhelm BillbergWolverines (TRI)LW232005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo12025-02-18FalseFalsePro & Farm800,000$80,000$29,388$No---------------------------
Zackary RothschildWolverines (TRI)D301998-01-28CANNo211 Lbs6 ft0NoNoAssign ManuallyNoYes32025-02-01FalseFalsePro & Farm1,900,000$1,900,000$697,959$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.82197 Lbs6 ft01.641,191,017$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ernest ChamplinErwin HabererCaspar Reichelt25122
2Fyodor RomantsevJochen Sieger25122
3Marcel BlazikJochen SiegerJesse-Petteri Ivari25122
4R.J. UptonRiordan WinstoneValery Kolesnikov25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daryl GoyerGrayson Jambrosich25122
2Pasi-Pekka HoikkalaRonald Duco25122
3Ronald DucoPasi-Pekka Hoikkala25122
4Daryl GoyerGrayson Jambrosich25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ernest ChamplinErwin HabererCaspar Reichelt50122
2Fyodor RomantsevJochen Sieger50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daryl GoyerGrayson Jambrosich50122
2Pasi-Pekka HoikkalaRonald Duco50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Erwin HabererErnest Champlin50122
2Jochen SiegerFyodor Romantsev50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daryl GoyerGrayson Jambrosich50122
2Pasi-Pekka HoikkalaRonald Duco50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Erwin Haberer50122Daryl GoyerGrayson Jambrosich50122
2Jochen Sieger50122Pasi-Pekka HoikkalaZackary Rothschild50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Erwin HabererErnest Champlin50122
2Jochen SiegerFyodor Romantsev50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daryl GoyerGrayson Jambrosich50122
2Pasi-Pekka HoikkalaRonald Duco50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ernest ChamplinErwin HabererCaspar ReicheltDaryl GoyerGrayson Jambrosich
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ernest ChamplinErwin HabererCaspar ReicheltDaryl GoyerGrayson Jambrosich
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Erwin Haberer, Jochen Sieger, Ernest ChamplinErwin Haberer, Jochen SiegerErwin Haberer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daryl Goyer, Grayson Jambrosich, Pasi-Pekka HoikkalaDaryl GoyerDaryl Goyer, Grayson Jambrosich
Tirs de pénalité
Erwin Haberer, Jochen Sieger, Caspar Reichelt, Riordan Winstone, Ernest Champlin
Gardien
#1 : Patrick Carlyle, #2 : Daulton Gammond
Lignes d’attaque personnalisées en prolongation
Erwin Haberer, Jochen Sieger, Valery Kolesnikov, Riordan Winstone, Ernest Champlin, Fyodor Romantsev, Marcel Blazik, R.J. Upton, Caspar Reichelt,
Lignes de défense personnalisées en prolongation
Daryl Goyer, Grayson Jambrosich, Pasi-Pekka Hoikkala, Damien Mosienko, Ronald Duco


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
1Auroras413000001315-22110000054120200000811-320.2501320330030605571154855855555111137689018422.22%9366.67%0533110548.24%531117145.35%36677547.23%10956161114472946473
2Bulldogs2020000058-31010000023-11010000035-200.00058130030605577048558555551681532513133.33%6350.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
3Comets2010001057-21010000014-31000001043120.50056110030605576048558555551741928664125.00%4250.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
4Crusaders2020000047-31010000013-21010000034-100.00046100030605576648558555551451615385120.00%5180.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
5Devils302000101012-21010000013-22010001099020.3331016260030605571014855855555111324338711545.45%9544.44%0533110548.24%531117145.35%36677547.23%10956161114472946473
6Drillers311010008802010100057-21100000031240.66781321003060557954855855555197272366300.00%9188.89%0533110548.24%531117145.35%36677547.23%10956161114472946473
7Guppies11000000422000000000001100000042221.000471100306055739485585555513874135240.00%2150.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
8Hornets411001011215-321100000910-12000010135-240.500121628003060557127485585555511063312115100.00%6183.33%0533110548.24%531117145.35%36677547.23%10956161114472946473
9Hydra2010010036-31000010023-11010000013-210.2503580030605576648558555551631921455240.00%8187.50%0533110548.24%531117145.35%36677547.23%10956161114472946473
10Jacks30100101611-51000000134-12010010037-420.3336814003060557101485585555519446326810220.00%6266.67%0533110548.24%531117145.35%36677547.23%10956161114472946473
11Jazz11000000211000000000001100000021121.000224003060557304855855555126121124000%30100.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
12Kings21100000642000000000002110000064220.50061117003060557614855855555172241858300.00%4175.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
13Northmen11000000413110000004130000000000021.000481200306055735485585555514211173111100.00%10100.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
14Phantoms311000109902110000067-11000001032140.6679132200306055792485585555511173672757228.57%6266.67%0533110548.24%531117145.35%36677547.23%10956161114472946473
15Rampage1010000025-3000000000001010000025-300.00023500306055722485585555512973728100.00%6350.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
16Rock20200000510-51010000014-31010000046-200.0005914003060557654855855555157223845200.00%4250.00%1533110548.24%531117145.35%36677547.23%10956161114472946473
17Schooners11000000532000000000001100000053221.0005712003060557284855855555126171118300.00%3166.67%0533110548.24%531117145.35%36677547.23%10956161114472946473
18Spartans201000106601010000034-11000001032120.50061016003060557624855855555166174255200.00%6183.33%0533110548.24%531117145.35%36677547.23%10956161114472946473
19Stingers21001000514110000003031000100021141.00051015013060557754855855555134111443500.00%20100.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
20Swamp Puppies1010000025-31010000025-30000000000000.0002350030605573048558555551341038222150.00%4250.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
21Vipers31100100990211000005411000010045-130.5009132200306055710248558555551112228963100.00%7271.43%0533110548.24%531117145.35%36677547.23%10956161114472946473
22Wild Wings1010000013-2000000000001010000013-200.000112003060557274855855555129113421200.00%220.00%0533110548.24%531117145.35%36677547.23%10956161114472946473
23Wolfpack21100000963110000004041010000056-120.500915240130605575848558555551661793506116.67%9188.89%0533110548.24%531117145.35%36677547.23%10956161114472946473
24Yeti431000001688220000009542110000073460.750162642003060557131485585555511224539814125.00%7185.71%0533110548.24%531117145.35%36677547.23%10956161114472946473
Total52152502442151162-1124912011016671-528613013418591-6480.462151236387023060557165848558555551164150582112531042423.08%1283870.31%1533110548.24%531117145.35%36677547.23%10956161114472946473
_Since Last GM Reset52152502442151162-1124912011016671-528613013418591-6480.462151236387023060557165848558555551164150582112531042423.08%1283870.31%1533110548.24%531117145.35%36677547.23%10956161114472946473
_Vs Conference321113013221029931576010014744317470032155550330.5161021582600130605571022485585555511048318483766691724.64%742072.97%0533110548.24%531117145.35%36677547.23%10956161114472946473
_Vs Division1156011013338-5532010011112-1624001002226-4140.6363353860030605573434855855555135210521325624416.67%24866.67%1533110548.24%531117145.35%36677547.23%10956161114472946473

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5248W215123638716581641505821125302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5215252442151162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2491211016671
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2861313418591
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1042423.08%1283870.31%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
485585555513060557
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
533110548.24%531117145.35%36677547.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10956161114472946473


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 - 2026-06-1838Hydra3Wolverines2LXSommaire du match
6 - 2026-06-1943Wolverines6Devils5WXXSommaire du match
8 - 2026-06-2164Wolverines4Vipers5LXSommaire du match
9 - 2026-06-2272Auroras1Wolverines3WSommaire du match
11 - 2026-06-2483Wolverines2Stingers1WXSommaire du match
13 - 2026-06-26103Spartans4Wolverines3LSommaire du match
15 - 2026-06-28110Wolverines2Jacks3LXSommaire du match
17 - 2026-06-30128Wolverines2Hornets3LXSommaire du match
19 - 2026-07-02143Wolverines4Rock6LSommaire du match
20 - 2026-07-03156Phantoms4Wolverines1LSommaire du match
22 - 2026-07-05168Northmen1Wolverines4WSommaire du match
24 - 2026-07-07182Vipers3Wolverines2LSommaire du match
25 - 2026-07-08188Drillers3Wolverines4WXSommaire du match
27 - 2026-07-10208Wolverines1Yeti2LSommaire du match
29 - 2026-07-12209Wolverines5Auroras6LSommaire du match
30 - 2026-07-13227Comets4Wolverines1LSommaire du match
32 - 2026-07-15240Phantoms3Wolverines5WSommaire du match
34 - 2026-07-17259Wolfpack0Wolverines4WSommaire du match
36 - 2026-07-19272Rock4Wolverines1LSommaire du match
38 - 2026-07-21286Wolverines5Wolfpack6LSommaire du match
40 - 2026-07-23299Hornets1Wolverines3WSommaire du match
41 - 2026-07-24304Wolverines1Hydra3LSommaire du match
43 - 2026-07-26325Jacks4Wolverines3LXXSommaire du match
45 - 2026-07-28337Bulldogs3Wolverines2LSommaire du match
46 - 2026-07-29345Yeti3Wolverines4WSommaire du match
48 - 2026-07-31356Wolverines4Guppies2WSommaire du match
50 - 2026-08-02370Wolverines1Hornets2LXXSommaire du match
51 - 2026-08-03379Wolverines3Devils4LSommaire du match
53 - 2026-08-05397Crusaders3Wolverines1LSommaire du match
55 - 2026-08-07406Wolverines3Drillers1WSommaire du match
57 - 2026-08-09429Hornets9Wolverines6LSommaire du match
59 - 2026-08-11441Stingers0Wolverines3WSommaire du match
60 - 2026-08-12448Wolverines3Spartans2WXXSommaire du match
62 - 2026-08-14468Vipers1Wolverines3WSommaire du match
64 - 2026-08-16475Wolverines2Rampage5LSommaire du match
66 - 2026-08-18490Wolverines1Jacks4LSommaire du match
68 - 2026-08-20507Yeti2Wolverines5WSommaire du match
69 - 2026-08-21520Drillers4Wolverines1LSommaire du match
71 - 2026-08-23521Wolverines3Crusaders4LSommaire du match
72 - 2026-08-24540Swamp Puppies5Wolverines2LSommaire du match
74 - 2026-08-26549Wolverines2Jazz1WSommaire du match
76 - 2026-08-28572Devils3Wolverines1LSommaire du match
78 - 2026-08-30579Wolverines3Phantoms2WXXSommaire du match
80 - 2026-09-01594Wolverines5Schooners3WSommaire du match
81 - 2026-09-02605Wolverines6Yeti1WSommaire du match
83 - 2026-09-04612Wolverines3Auroras5LSommaire du match
85 - 2026-09-06634Wolverines1Wild Wings3LSommaire du match
88 - 2026-09-09649Wolverines3Bulldogs5LSommaire du match
90 - 2026-09-11668Wolverines4Kings1WSommaire du match
92 - 2026-09-13676Wolverines4Comets3WXXSommaire du match
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
Assistance67,01744,053
Assistance PCT93.08%91.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
16 4628 - 92.56% 162,846$3,908,309$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,661,009$ 5,044,847$ 5,044,847$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,044,847$ 2,154,888$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,605,539$ 54 39,761$ 2,147,094$




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
1Jochen Sieger3041011362374033036059676313.24%134580119.08212950593362013349.03%20.82416
2Ryder Schellenberg347109112221-422830432290812.00%88574816.57201939570001111136.27%30.7700
3Waldemar Janne239531001531620669632346311.45%101441418.47421252121359430.83%00.69112
4Michal Stellon144546812216644729336514.79%70290520.18118191811298944.77%00.84322
5Jayce Petrie1774358101-1314932625639111.00%83326118.43512171610187547.52%00.62415

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 Gammond1286246110.9162.55735043312370916081110.73653
3Patrick Carlyle1094240190.9142.6461496127131481572310.69155
4Antonio Jean2515900.9182.3914562258711344110.6673
5Blaine Trevisani2281200.8833.7812382178667340110.8336

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
652152502442151162-1124912011016671-528613013418591-648151236387023060557165848558555551164150582112531042423.08%1283870.31%1533110548.24%531117145.35%36677547.23%10956161114472946473
Total Saison régulière45215418904220222511771234-5722487890226812623615822867100020141413554619-65481117719053082911236440437821250436364344429039113806455748551097884621124.94%99425874.04%164155854348.64%47981007247.64%3012614649.01%949953249614411583464192
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