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Wolverines
GP: 24 | W: 11 | L: 11 | OTL: 2 | P: 24
GF: 71 | GA: 74 | PP%: 17.86% | PK%: 88.10%
DG: Alexandre Bouchard | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #297 vs Wolfpack

Centre de jeu
Outlaws
15-7-2, 32pts
3
4 Wolverines
11-11-2, 24pts
Team Stats
W1SéquenceL1
7-3-1Fiche domicile6-5-1
8-4-1Fiche domicile5-6-1
7-2-1Derniers 10 matchs5-5-0
4.13Buts par match 2.96
3.25Buts contre par match 3.08
40.91%Pourcentage en avantage numérique17.86%
69.23%Pourcentage en désavantage numérique88.10%
Wolverines
11-11-2, 24pts
3
4 Guppies
14-6-3, 31pts
Team Stats
L1SéquenceW3
6-5-1Fiche domicile9-3-1
5-6-1Fiche domicile5-3-2
5-5-0Derniers 10 matchs4-5-1
2.96Buts par match 2.91
3.08Buts contre par match 2.26
17.86%Pourcentage en avantage numérique31.11%
88.10%Pourcentage en désavantage numérique85.45%
Wolfpack
10-8-5, 25pts
2025-12-14
Wolverines
11-11-2, 24pts
Statistiques d’équipe
W1SéquenceL1
6-7-1Fiche domicile6-5-1
4-1-4Fiche visiteur5-6-1
3-5-210 derniers matchs5-5-0
3.13Buts par match 2.96
3.09Buts contre par match 2.96
20.00%Pourcentage en avantage numérique17.86%
75.47%Pourcentage en désavantage numérique88.10%
Rampage
13-11-0, 26pts
2025-12-15
Wolverines
11-11-2, 24pts
Statistiques d’équipe
W2SéquenceL1
4-6-0Fiche domicile6-5-1
9-5-0Fiche visiteur5-6-1
6-4-010 derniers matchs5-5-0
2.92Buts par match 2.96
3.08Buts contre par match 2.96
26.83%Pourcentage en avantage numérique17.86%
80.00%Pourcentage en désavantage numérique88.10%
Northmen
14-8-2, 30pts
2025-12-17
Wolverines
11-11-2, 24pts
Statistiques d’équipe
W5SéquenceL1
7-5-0Fiche domicile6-5-1
7-3-2Fiche visiteur5-6-1
7-3-010 derniers matchs5-5-0
3.00Buts par match 2.96
3.00Buts contre par match 2.96
35.71%Pourcentage en avantage numérique17.86%
81.48%Pourcentage en désavantage numérique88.10%
Meneurs d'équipe
Buts
Michal Stellon
13
Passes
Michal Stellon
15
Points
Michal Stellon
28
Plus/Moins
Dan Strom
9
Victoires
Patrick Carlyle
8
Pourcentage d’arrêts
Zakhar Shkurin
0.907

Statistiques d’équipe
Buts pour
71
2.96 GFG
Tirs pour
723
30.13 Avg
Pourcentage en avantage numérique
17.9%
10 GF
Début de zone offensive
37.8%
Buts contre
74
3.08 GAA
Tirs contre
717
29.88 Avg
Pourcentage en désavantage numérique
88.1%%
5 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralAlexandre Bouchard
EntraîneurVladimir Dobson
DivisionWest Coast Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2Ryder Schellenberg


Informations de l’aréna

Capacité3,000
Assistance2,867
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 55
Espoirs2


Historique d'équipe

Saison actuelle11-11-2 (24PTS)
Historique177-139-56 (0.476%)
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
1Jayce Petrie83X98.007069957091827292808439728650601507703621,400,000$
2Danny Gourlie70X100.0087506662957487906878677148568132507702911,195,000$
3Michal Stellon (R)60X99.008729669871766983678644943967536550770222800,000$
4Waldemar Janne (R)71X98.009338577376798083469851723673746150760231800,000$
5Dan Strom16X99.0045578697807963958040848138505639507402831,500,000$
6Erwin Haberer (R)80X98.006466877776746876727166847764748150740183900,000$
7Rafael Jewitt38X98.004054856853586984768483848593452050730321899,000$
8Waylon Mcindeor (R)52X100.006557727084937887497063596232606750730231850,000$
9Ryder Schellenberg (R) (A)3X100.0037507496826776794485774054659363507202341,465,000$
10Valentin Timkin (R)22X100.007764537185716066638066816969718550720213925,000$
11Russell Midensky63X100.00634178776164588283973669388284150700381700,000$
12Acke Kronholm (R)65X100.003342756696939093257338887752536650760213800,000$
13Lubos Gebauer (R)48X100.0050616585778775777675776385836461507501831,000,000$
14Casey Fawcett (R)47X100.0066349592916570592572627580564059507402241,999,999$
15Daryl Goyer (R)73X100.003552906758839582253958952893535850690233775,000$
16Damien Mosienko (R)57X100.0072337886296367702568419686945071506502221,999,999$
17Trevor Marcoux (R)56X100.003744908232826082253465888654736550620212800,000$
Rayé
1Jochen Sieger11X90.7242678272829164888683598058569747507702651,250,000$
2Sigvard Ukkola0X100.009448868781795091908144436459592250730312950,000$
3Riley Antisin (R)85X100.002842826758616683609288327632705250680241700,000$
4Valentin Akerblom (R)72X100.007947598343715665985850899568567250660221955,000$
5Wilhelm Billberg (R)40X100.003434719048797173626457566335536650650222800,000$
6Rabbe Okker0X100.006866709676656796257562536439812550740311700,000$
7Chris Mathey25X100.006348917160707388256537907844706507003411,495,000$
8Peyton Fennell0X100.007735896269696389257035779770781850680332715,000$
9Macgregor Yorke2X100.003753878738964872258173875250941506803611,250,500$
MOYENNE D’ÉQUIPE99.26594978796976698255735974666167465072
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
1Patrick Carlyle3599.007056639196678067937055284659507502321,995,000$
2Blaine Trevisani (R)1100.006868767669718760647889425471507202131,300,000$
Rayé
1Zakhar Shkurin32100.00845888934662916296745457957507503511,520,000$
MOYENNE D’ÉQUIPE99.6774617687706786638474664265465074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Vladimir Dobson76569527352919CAN451700,000$


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
1Michal StellonWolverines (TRI)C24131528660524762134220.97%647219.703143450002281047.55%408269001.1814000232
2Jochen SiegerWolverines (TRI)C2481119-3161020418535399.41%546319.335059450000292152.61%479914000.8214101202
3Waldemar JanneWolverines (TRI)RW2441519624106335447229.09%1041617.35123639000011128.00%25106000.9111002113
4Dan StromWolverines (TRI)LW241351891010212983274615.66%1542817.85000744000001150.00%28376010.8400200311
5Jayce PetrieWolverines (TRI)RW24681433220463055203710.91%647219.670222440004281147.46%591014100.5901112200
6Erwin HabererWolverines (TRI)LW245813-107553316016338.33%743718.25044246000022043.33%3098000.5900100020
7Ryder SchellenbergWolverines (TRI)LW246612-14015359193110.17%727811.6100001000000020.00%5192000.8600000010
8Lubos GebauerWolverines (TRI)D242810-14242035384815154.17%3261425.59134661000134000%02010000.3300103001
9Rafael JewittWolverines (TRI)C24459-420112435122311.43%332813.670111210000120147.55%14358000.5500000010
10Danny GourlieWolverines (TRI)RW24358-6605620368228.33%837115.460334360001250061.11%1874000.4312000001
11Macgregor YorkeWolverines (TRI)D130555005186830%1020215.580000100005000%0123000.4900000000
12Casey FawcettWolverines (TRI)D240557002841191070%2546919.57000113000031000%0419000.2100000000
13Acke KronholmWolverines (TRI)D24055-724101637188110%3157924.17000021000029000%0720000.1700011000
14Chris MatheyWolverines (TRI)D10134-32071374414.29%819819.8900002000011000%013000.4000000000
15Waylon McindeorWolverines (TRI)RW24224-10002212399185.13%224010.0100000000030046.15%1372000.3300000000
16Russell MidenskyWolverines (TRI)LW24123-8401422189165.56%42269.450000100004000%173000.2600000000
17Damien MosienkoWolverines (TRI)D12033-52020226330%1222518.7800008000013000%0213000.2701000000
18Daryl GoyerWolverines (TRI)D24123-20033015876.67%1937115.48000015000112100%029000.1600000000
19Valentin TimkinWolverines (TRI)C24033-91404823206100%32319.66011111000230035.59%5912000.2600000000
20Trevor MarcouxWolverines (TRI)D130110001148300%916712.870000000000000%037000.1201000000
Statistiques d’équipe totales ou en moyenne43269117186-46177855365307232403899.54%222719716.6610172742464000112779548.50%1268198162110.5241462910910
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
1Patrick CarlyleWolverines (TRI)168710.9012.819410144445211000.80010168211
2Blaine TrevisaniWolverines (TRI)83400.8993.054522023228124010.6673716010
3Zakhar ShkurinWolverines (TRI)10010.9073.69650044327000.333310000
Statistiques d’équipe totales ou en moyenne25111120.9012.921459217171636201162424221


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Acke KronholmWolverines (TRI)D212006-02-01SWEYes219 Lbs6 ft3NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$57,838$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Blaine TrevisaniWolverines (TRI)G212006-09-19CANYes177 Lbs5 ft8NoNoAssign ManuallyNoNo32025-10-26FalseFalsePro & Farm1,300,000$130,000$93,986$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------
Casey FawcettWolverines (TRI)D222005-08-10CANYes232 Lbs6 ft7NoNoFree AgentNoNo42025-02-22FalseFalsePro & Farm1,999,999$200,000$144,595$No1,999,999$1,999,999$1,999,999$------1,999,999$1,999,999$1,999,999$------NoNoNo------
Chris MatheyWolverines (TRI)D341993-10-23FRANo181 Lbs5 ft5NoNoAssign Manually2025-04-07NoNo12025-10-26FalseFalsePro & Farm1,495,000$149,500$108,084$No---------------------------
Damien MosienkoWolverines (TRI)D222005-04-08CANYes235 Lbs6 ft4NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm1,999,999$200,000$144,595$No1,999,999$--------1,999,999$--------No--------
Dan StromWolverines (TRI)LW281999-11-12SWENo236 Lbs6 ft4NoNoN/ANoNo32024-06-07FalseFalsePro & Farm1,500,000$150,000$108,446$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Danny GourlieWolverines (TRI)RW291998-11-17CANNo243 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,195,000$119,500$86,395$No---------------------------
Daryl GoyerWolverines (TRI)D232004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo32024-07-11FalseFalsePro & Farm775,000$77,500$56,030$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Erwin HabererWolverines (TRI)LW182009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$65,068$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jayce PetrieWolverines (TRI)RW361991-07-09USANo215 Lbs6 ft0NoNoAssign Manually2024-02-11NoNo22025-10-26FalseFalsePro & Farm1,400,000$140,000$101,216$No1,400,000$--------1,400,000$--------No--------
Jochen Sieger (sur la masse salariale)Wolverines (TRI)C262001-06-16GERNo246 Lbs6 ft6NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm1,250,000$0$0$Yes1,250,000$1,250,000$1,250,000$1,250,000$-----1,250,000$1,250,000$1,250,000$1,250,000$-----NoNoNoNo-----
Lubos GebauerWolverines (TRI)D182009-08-01CZEYes207 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm1,000,000$100,000$72,297$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Macgregor YorkeWolverines (TRI)D361991-10-22CANNo174 Lbs5 ft9NoNoAssign Manually2024-11-17NoNo12025-02-01FalseFalsePro & Farm1,250,500$125,050$90,408$No---------------------------
Michal StellonWolverines (TRI)C222005-07-13CANYes245 Lbs6 ft4NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm800,000$80,000$57,838$No800,000$--------800,000$--------No--------
Patrick CarlyleWolverines (TRI)G232004-12-10CANNo241 Lbs6 ft5NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm1,995,000$199,500$144,233$No1,995,000$--------1,995,000$--------No--------
Peyton FennellWolverines (TRI)D331994-08-27CANNo219 Lbs6 ft2NoNoAssign Manually2025-03-09NoNo22025-10-26FalseFalsePro & Farm715,000$71,500$51,693$No715,000$--------715,000$--------No--------
Rabbe OkkerWolverines (TRI)D311996-06-09FINNo167 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$50,608$No---------------------------
Rafael JewittWolverines (TRI)C321995-08-19CANNo238 Lbs6 ft6NoNoTrade2024-11-06NoNo1FalseFalsePro & Farm899,000$89,900$64,995$No---------------------------
Riley AntisinWolverines (TRI)C242003-08-20CANYes202 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$50,608$No---------------------------
Russell MidenskyWolverines (TRI)LW381989-05-13CANNo171 Lbs5 ft8NoNoFree Agent2024-06-15NoNo12025-10-28FalseFalsePro & Farm700,000$70,000$50,608$No---------------------------
Ryder SchellenbergWolverines (TRI)LW232004-01-14CANYes189 Lbs6 ft3NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,465,000$146,500$105,916$No1,465,000$1,465,000$1,465,000$------1,465,000$1,465,000$1,465,000$------NoNoNo------
Sigvard UkkolaWolverines (TRI)RW311996-03-01FINNo165 Lbs5 ft9NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm950,000$95,000$68,682$No950,000$--------950,000$--------No--------
Trevor MarcouxWolverines (TRI)D212006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo22025-02-21FalseFalsePro & Farm800,000$80,000$57,838$No800,000$--------800,000$--------No--------
Valentin AkerblomWolverines (TRI)C222005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12025-02-22FalseFalsePro & Farm955,000$95,500$69,044$No---------------------------
Valentin TimkinWolverines (TRI)C212006-06-13RUSYes195 Lbs5 ft11NoNoAssign ManuallyNoNo32025-10-26FalseFalsePro & Farm925,000$92,500$66,875$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Waldemar JanneWolverines (TRI)RW232004-07-01FINYes235 Lbs6 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$57,838$No---------------------------
Waylon McindeorWolverines (TRI)RW232004-12-11USAYes175 Lbs5 ft9NoNoFree AgentNoNo12024-07-11FalseFalsePro & Farm850,000$85,000$61,453$No---------------------------
Wilhelm BillbergWolverines (TRI)RW222005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo22025-02-18FalseFalsePro & Farm800,000$80,000$57,838$No800,000$--------800,000$--------No--------
Zakhar ShkurinWolverines (TRI)G351992-06-17RUSNo245 Lbs6 ft8NoNoAssign Manually2024-02-06NoNo12025-10-26FalseFalsePro & Farm1,520,000$152,000$109,892$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.14206 Lbs6 ft22.101,118,603$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Erwin HabererWaldemar Janne35023
2Dan StromMichal StellonJayce Petrie35023
3Ryder SchellenbergRafael JewittDanny Gourlie20023
4Russell MidenskyValentin TimkinWaylon Mcindeor10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damien MosienkoLubos Gebauer35023
2Daryl GoyerAcke Kronholm35032
3Casey FawcettTrevor Marcoux20032
4Acke KronholmLubos Gebauer10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Erwin HabererWaldemar Janne50005
2Dan StromMichal StellonJayce Petrie50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rafael JewittLubos Gebauer50005
2Acke KronholmCasey Fawcett50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rafael Jewitt50050
2Michal StellonJayce Petrie50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Acke KronholmLubos Gebauer50050
2Casey FawcettDaryl Goyer50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michal Stellon50050Acke KronholmLubos Gebauer50050
2Rafael Jewitt50050Casey FawcettDaryl Goyer50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Danny Gourlie50122
2Michal StellonJayce Petrie50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Acke KronholmLubos Gebauer50122
2Casey FawcettDaryl Goyer50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Erwin HabererDanny GourlieAcke KronholmLubos Gebauer
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Erwin HabererDanny GourlieAcke KronholmLubos Gebauer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Waldemar Janne, Rafael Jewitt, Waylon McindeorWaldemar Janne, Rafael JewittWaylon Mcindeor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Damien Mosienko, Trevor Marcoux, Casey FawcettDamien MosienkoTrevor Marcoux, Casey Fawcett
Tirs de pénalité
Danny Gourlie, , Michal Stellon, Jayce Petrie, Waldemar Janne
Gardien
#1 : Patrick Carlyle, #2 : Blaine Trevisani
Lignes d’attaque personnalisées en prolongation
Danny Gourlie, , Michal Stellon, Jayce Petrie, Waldemar Janne, Erwin Haberer, Dan Strom, Rafael Jewitt, Waylon Mcindeor, Ryder Schellenberg
Lignes de défense personnalisées en prolongation
Acke Kronholm, Lubos Gebauer, Casey Fawcett, 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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Auroras11000000422110000004220000000000021.000461000112629729202270238272610227100.00%10100.00%022947248.52%23245650.88%15432247.83%544327495210424215
2Bulldogs2010000135-21010000012-11000000123-110.2503690011262976020227023827602121485120.00%30100.00%022947248.52%23245650.88%15432247.83%544327495210424215
3Comets1000000145-11000000145-10000000000010.500461000112629733202270238274310424100.00%20100.00%022947248.52%23245650.88%15432247.83%544327495210424215
4Guppies321000001082110000005322110000055040.6671018280011262978420227023827863922649222.22%6266.67%022947248.52%23245650.88%15432247.83%544327495210424215
5Hornets11000000404110000004040000000000021.0004711011126297412022702382720681411100.00%40100.00%022947248.52%23245650.88%15432247.83%544327495210424215
6Hydra2010001067-11010000035-21000001032120.500691500112629762202270238275711642500.00%30100.00%022947248.52%23245650.88%15432247.83%544327495210424215
7Jacks1010000023-1000000000001010000023-100.0002460011262972420227023827326132011100.00%4175.00%022947248.52%23245650.88%15432247.83%544327495210424215
8Jazz20101000711-40000000000020101000711-420.500712190011262975920227023827551432419222.22%110.00%022947248.52%23245650.88%15432247.83%544327495210424215
9Kings2010001035-22010001035-20000000000020.500325001126297612022702382767161042100.00%5180.00%022947248.52%23245650.88%15432247.83%544327495210424215
10Outlaws20101000880100010004311010000045-120.50081321001126297592022702382751223453600.00%20100.00%022947248.52%23245650.88%15432247.83%544327495210424215
11Vipers2020000047-31010000024-21010000023-100.00047111011262975520227023827612111422150.00%30100.00%022947248.52%23245650.88%15432247.83%544327495210424215
12Wild Wings211000007611010000045-11100000031220.5007121900112629779202270238276418045600.00%000%022947248.52%23245650.88%15432247.83%544327495210424215
13Wolfpack2010100056-1000000000002010100056-120.50058130011262974820227023827682210556116.67%50100.00%022947248.52%23245650.88%15432247.83%544327495210424215
14Yeti11000000413110000004130000000000021.000471100112629729202270238272766193133.33%30100.00%022947248.52%23245650.88%15432247.83%544327495210424215
Total24611030227174-3124501011383531226020113339-6240.5007111718811112629772320227023827717222179536561017.86%42588.10%022947248.52%23245650.88%15432247.83%544327495210424215
_Since Last GM Reset24611030227174-3124501011383531226020113339-6240.5007111718811112629772320227023827717222179536561017.86%42588.10%022947248.52%23245650.88%15432247.83%544327495210424215
_Vs Conference175803010515108420101026188916020002533-8180.52951841351111262974892022702382749316214837739923.08%34585.29%022947248.52%23245650.88%15432247.83%544327495210424215
_Vs Division204010107611020001045-11020100031241.0007121900112629779202270238276418045600.00%000%022947248.52%23245650.88%15432247.83%544327495210424215

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2424L17111718872371722217953611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2461130227174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124510113835
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
122620113339
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
561017.86%42588.10%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
202270238271126297
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
22947248.52%23245650.88%15432247.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
544327495210424215


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 - 2025-11-0211Wolverines3Wolfpack2WXSommaire du match
2 - 2025-11-0318Wolverines3Wild Wings1WSommaire du match
4 - 2025-11-0529Auroras2Wolverines4WSommaire du match
6 - 2025-11-0740Wolverines5Jazz4WXSommaire du match
8 - 2025-11-0960Yeti1Wolverines4WSommaire du match
9 - 2025-11-1066Wolverines2Vipers3LSommaire du match
11 - 2025-11-1275Wolverines2Jacks3LSommaire du match
13 - 2025-11-1495Wild Wings5Wolverines4LSommaire du match
15 - 2025-11-16107Kings1Wolverines2WXXSommaire du match
16 - 2025-11-17114Comets5Wolverines4LXXSommaire du match
18 - 2025-11-19124Wolverines4Outlaws5LSommaire du match
20 - 2025-11-21144Wolverines2Wolfpack4LSommaire du match
22 - 2025-11-23150Wolverines2Jazz7LSommaire du match
24 - 2025-11-25163Wolverines2Bulldogs3LXXSommaire du match
26 - 2025-11-27177Wolverines2Guppies1WSommaire du match
27 - 2025-11-28191Vipers4Wolverines2LSommaire du match
29 - 2025-11-30203Hydra5Wolverines3LSommaire du match
31 - 2025-12-02214Hornets0Wolverines4WSommaire du match
33 - 2025-12-04226Bulldogs2Wolverines1LSommaire du match
34 - 2025-12-05236Kings4Wolverines1LSommaire du match
36 - 2025-12-07249Guppies3Wolverines5WSommaire du match
38 - 2025-12-09258Wolverines3Hydra2WXXSommaire du match
40 - 2025-12-11273Outlaws3Wolverines4WXSommaire du match
41 - 2025-12-12275Wolverines3Guppies4LSommaire du match
43 - 2025-12-14297Wolfpack-Wolverines-
44 - 2025-12-15302Rampage-Wolverines-
46 - 2025-12-17315Northmen-Wolverines-
48 - 2025-12-19333Jacks-Wolverines-
50 - 2025-12-21334Wolverines-Comets-
52 - 2025-12-23356Wolverines-Rock-
54 - 2025-12-25369Devils-Wolverines-
55 - 2025-12-26373Wolverines-Hornets-
57 - 2025-12-28382Wolverines-Auroras-
59 - 2025-12-30405Phantoms-Wolverines-
61 - 2026-01-01417Jazz-Wolverines-
62 - 2026-01-02424Wolverines-Phantoms-
64 - 2026-01-04441Wolfpack-Wolverines-
65 - 2026-01-05444Wolverines-Kings-
67 - 2026-01-07458Wolverines-Stingers-
69 - 2026-01-09471Wolverines-Kings-
71 - 2026-01-11489Outlaws-Wolverines-
73 - 2026-01-13501Wolverines-Yeti-
75 - 2026-01-15512Auroras-Wolverines-
76 - 2026-01-16524Kings-Wolverines-
78 - 2026-01-18526Wolverines-Auroras-
79 - 2026-01-19542Wolverines-Schooners-
81 - 2026-01-21555Spartans-Wolverines-
83 - 2026-01-23572Vipers-Wolverines-
85 - 2026-01-25583Hornets-Wolverines-
86 - 2026-01-26590Stingers-Wolverines-
88 - 2026-01-28597Wolverines-Devils-
90 - 2026-01-30609Wolverines-Crusaders-
92 - 2026-02-01629Wolverines-Spartans-
93 - 2026-02-02634Wolverines-Outlaws-
95 - 2026-02-04649Jazz-Wolverines-
97 - 2026-02-06657Wolverines-Hornets-
99 - 2026-02-08677Rock-Wolverines-
100 - 2026-02-09684Crusaders-Wolverines-
102 - 2026-02-11696Wolverines-Rampage-
104 - 2026-02-13714Wolverines-Vipers-
106 - 2026-02-15717Wolverines-Jacks-
110 - 2026-02-19745Schooners-Wolverines-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
111 - 2026-02-20757Guppies-Wolverines-
113 - 2026-02-22763Wolverines-Northmen-
115 - 2026-02-24776Wolverines-Devils-
117 - 2026-02-26791Wolverines-Yeti-
118 - 2026-02-27803Jacks-Wolverines-
120 - 2026-03-01810Wolverines-Kings-
124 - 2026-03-05835Wolverines-Vipers-
125 - 2026-03-06846Wolfpack-Wolverines-
127 - 2026-03-08856Yeti-Wolverines-
131 - 2026-03-12876Wolverines-Wolfpack-
132 - 2026-03-13889Wolfpack-Wolverines-
134 - 2026-03-15900Devils-Wolverines-
137 - 2026-03-18906Wolverines-Kings-
139 - 2026-03-20926Vipers-Wolverines-
141 - 2026-03-22934Wolverines-Vipers-
142 - 2026-03-23944Vipers-Wolverines-
144 - 2026-03-25952Kings-Wolverines-
148 - 2026-03-29959Wolverines-Wolfpack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance22,86511,533
Assistance PCT95.27%96.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2867 - 95.55% 85,161$1,021,932$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,072,495$ 3,118,950$ 3,118,950$ 700,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,118,950$ 1,072,495$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,384,508$ 107 25,804$ 2,761,028$




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 Schellenberg2918994183420425227775311.82%76487716.76171734450001111036.14%30.7500
2Jochen Sieger22961981593325825444152411.64%104425318.5715233845235179248.50%00.75310
3Waldemar Janne18337791161114352925234810.63%79334718.29217191510137429.73%00.6919
4Jonathan Sharpley18997887-21382573663502.57%230425022.4941317230224220%00.4100
5Rabbe Okker184156681-52612732252855.26%145343218.6571825270002510%00.4700

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 Gammond92483370.9212.3753664121226941164810.72540
3Patrick Carlyle55261860.9172.493128211301559784200.73330
4Antonio Jean2515900.9182.3914562258711344110.6673
5Alexander Sipula1741110.8823.6391000554652291000

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
524611030227174-3124501011383531226020113339-6247111718811112629772320227023827717222179536561017.86%42588.10%022947248.52%23245650.88%15432247.83%544327495210424215
Total Saison régulière344122139039111617890890017268650204874844513317254740197810406439-3338289014532343881753283327194352748329232212851034434523543836766017326.21%74818874.87%123135643248.74%3732773148.27%2257457849.30%721440317293314563853203
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