Please rotate your device to landscape mode for a better experience.
Login

Wolverines
GP: 23 | W: 8 | L: 11 | OTL: 4 | P: 20
GF: 68 | GA: 74 | PP%: 24.53% | PK%: 70.18%
GM : Alexandre Bouchard | Morale : 50 | Team Overall : 72
Next Games #304 vs Hydra

Game Center
Wolverines
8-11-4, 20pts
5
6 Wolfpack
13-9-1, 27pts
Team Stats
W1StreakL1
6-6-1Home Record8-3-1
2-5-3Home Record5-6-0
4-6-0Last 10 Games7-3-0
2.96Goals Per Game3.57
3.22Goals Against Per Game3.39
24.53%Power Play Percentage28.85%
70.18%Penalty Kill Percentage75.00%
Hornets
12-9-2, 26pts
1
3 Wolverines
8-11-4, 20pts
Team Stats
L1StreakW1
8-4-1Home Record6-6-1
4-5-1Home Record2-5-3
5-4-1Last 10 Games4-6-0
3.17Goals Per Game2.96
3.04Goals Against Per Game3.22
32.69%Power Play Percentage24.53%
68.42%Penalty Kill Percentage70.18%
Wolverines
8-11-4, 20pts
2026-07-24
Hydra
12-11-0, 24pts
Team Stats
W1StreakW1
6-6-1Home Record5-5-0
2-5-3Away Record7-6-0
4-6-0Last 10 Games5-5-0
2.96Goals Per Game2.61
3.22Goals Against Per Game2.61
24.53%Power Play Percentage16.98%
70.18%Penalty Kill Percentage75.34%
Jacks
10-12-1, 21pts
2026-07-26
Wolverines
8-11-4, 20pts
Team Stats
W1StreakW1
6-5-0Home Record6-6-1
4-7-1Away Record2-5-3
5-4-1Last 10 Games4-6-0
2.83Goals Per Game2.96
3.61Goals Against Per Game2.96
30.77%Power Play Percentage24.53%
70.42%Penalty Kill Percentage70.18%
Bulldogs
8-13-2, 18pts
2026-07-28
Wolverines
8-11-4, 20pts
Team Stats
W2StreakW1
6-5-0Home Record6-6-1
2-8-2Away Record2-5-3
4-6-0Last 10 Games4-6-0
3.00Goals Per Game2.96
3.65Goals Against Per Game2.96
20.00%Power Play Percentage24.53%
71.43%Penalty Kill Percentage70.18%
Team Leaders
Goals
Jochen Sieger
17
Assists
Jochen Sieger
18
Points
Jochen Sieger
35
Plus/Minus
Marcel Blazik
6
Wins
Daulton Gammond
5
Save Percentage
Patrick Carlyle
0.915

Team Stats
Goals For
68
2.96 GFG
Shots For
751
32.65 Avg
Power Play Percentage
24.5%
13 GF
Offensive Zone Start
36.4%
Goals Against
74
3.22 GAA
Shots Against
725
31.52 Avg
Penalty Kill Percentage
70.2%%
17 GA
Defensive Zone Start
38.7%
Team Info

General ManagerAlexandre Bouchard
CoachWolf-Dieter Niemeyer
DivisionNorthwest
ConferenceWestern Conference
CaptainJochen Sieger
Assistant #1Jayce Petrie
Assistant #2Erwin Haberer


Arena Info

Capacity5,000
Attendance4,558
Season Tickets1,250


Roster Info

Pro Team27
Farm Team20
Contract Limit47 / 55
Prospects2


Team History

This Season8-11-4 (20PTS)
History205-175-65 (0.461%)
Playoff Appearances3
Playoff Record (W-L)14 - 16 (0.467%)
Stanley Cup0


Filter Tips
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
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Jochen Sieger (C)11X96.0042678174849164898684598058569741507702741,250,000$
2Jayce Petrie (A)83X96.007069947192827292808438738650600507703711,400,000$
3R.J. Upton79X100.009061916183946174798764599468360507603511,100,000$
4Valery Kolesnikov46X100.009845647668837785734777929275665507503311,800,000$
5Erwin Haberer (R) (A)80X99.006566867877767077727166867764747850750192900,000$
6Marcel Blazik (R)22X100.007461877367787693606492566774636850740203900,000$
7Caspar Reichelt (R)71X100.008667726877738575587084656760698450740193900,000$
8Jesse-Petteri Ivari (R)10X100.006768787877756853697084908164686550740183900,000$
9Pavlo Benard81X100.00416780626889518465875892398854050730381965,000$
10Ernest Champlin82X100.006442825793805183738662645566661050730341700,000$
11Fyodor Romantsev28X100.005638886449788390865882797966980507303611,500,000$
12Sarno Huopio25X100.00926866856264859870717144906756850730332900,000$
13Pasi-Pekka Hoikkala (R)60X99.0069656769858576678174847974836060507601831,000,000$
14Grayson Jambrosich47X100.007466739290666767256950763464642507403511,350,000$
15Ronald Duco8X100.00416489664991889325717370958084450730361965,000$
16Daryl Goyer (R)73X100.003452906758859782253959962893535550690242775,000$
17Peyton Fennell0X100.007635896167696488256934759770781250680341715,000$
18Damien Mosienko (R)57X100.0072337985276267692567409786945065506502311,999,999$
Scratches
1Sigvard Ukkola64X100.009348868679795190908043416459591750720321950,000$
2Stephan Audet0X100.00635296649292696189563383719671250700371790,000$
3Riley Antisin (R)85X100.0027428366576166825992873076327049506702511,427,924$
4Valentin Akerblom (R)72X100.008147608241695564985751879568566950650231820,549$
5Wilhelm Billberg (R)40X100.003334738946777072626356546335536250640231800,000$
6Trevor Marcoux (R)56X100.003644918130816081253364868654736250600221800,000$
TEAM AVERAGE99.58645481736778708063696373736866345072
Filter Tips
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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Daulton Gammond75100.006990668478987985727587288653508002421,995,000$
2Patrick Carlyle35100.007157649297688168947155284653507602411,995,000$
Scratches
1Blaine Trevisani (R)1100.006869767769748760647889425465507202221,300,000$
TEAM AVERAGE100.0069726984818082717775773362575076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wolf-Dieter Niemeyer95953445997370GER562800,000$


Filter Tips
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
# Player Name Team NamePOSGP 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)C2317183542420274798305817.35%1148921.294486391012322151.36%553116021.4301211313
2Marcel BlazikWolverines (TRI)LW23812206511530289623718.33%139117.04134537000000046.15%13145001.0200201221
3Erwin HabererWolverines (TRI)C2310515-67640395467212914.93%2144319.273146380003362042.89%471145000.6801215131
4Jayce PetrieWolverines (TRI)RW23681421515382050242512.00%1033014.360220120000150070.59%17910000.8500120003
5Sarno HuopioWolverines (TRI)LW2321012-7342045135533383.64%732514.13011325000040039.13%23142000.7400013002
6Caspar ReicheltWolverines (TRI)RW23571243010582450142210.00%1038116.57134327000000131.03%29138000.6300101001
7R.J. UptonWolverines (TRI)LW2337102121047263115139.68%635015.241233410000181041.67%2442000.5700101100
8Jesse-Petteri IvariWolverines (TRI)RW233710-101810443227142411.11%643919.121343390000280046.15%2677000.4511101010
9Grayson JambrosichWolverines (TRI)D231780563040502614133.85%2651322.31000016000014010%01118000.3100204010
10Lubos GebauerTridentD13257-413514252613137.69%1626620.4613423201106000%0127000.5300001000
11Fyodor RomantsevWolverines (TRI)LW23426100283032141712.50%226111.3800003000001071.43%728000.4600000000
12Pasi-Pekka HoikkalaWolverines (TRI)D23156-6583057423816172.63%2558525.44101442000036010%01326000.2100213000
13Pavlo BenardWolverines (TRI)C232240342015383715245.41%731813.83000030003300044.71%17039000.2500220000
14Damien MosienkoWolverines (TRI)D230442120222819480%1236215.78000015000027000%039000.2200000000
15Riley AntisinWolverines (TRI)C12134-30022123138.33%21058.8200000000001029.27%4140000.7600000000
16Sigvard UkkolaWolverines (TRI)RW18123-275257243144.17%118410.2700004000000025.00%441000.3200010000
17Daryl GoyerWolverines (TRI)D23033255103627770%2649021.34000017000046000%0220000.1200001000
18Ronald DucoWolverines (TRI)D100222006189540%922622.69011012000018000%037000.1800000000
19Trevor MarcouxWolverines (TRI)D180220121011215480%526114.5100000000028000%016000.1500200000
20Riordan WinstoneTridentC61011204312098.33%17212.01000000001130040.91%2234000.2801000000
21Peyton FennellWolverines (TRI)D5000000200000%0316.220000000004000%00000000000000
22Ernest ChamplinWolverines (TRI)LW5000000000000%020.550000000000000%00000000000000
23Valery KolesnikovWolverines (TRI)RW5000000010000%071.470000000000000%00000000000000
Team Total or Average41467111178-124592455545367512724278.92%204684116.521323363541111293637446.21%1400147160020.5214189227811
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Daulton GammondWolverines (TRI)165630.8893.539010153478196301.0004167110
2Patrick CarlyleWolverines (TRI)93510.9152.6048500212471130000716001
Team Total or Average2581140.8983.20138601747253093042323111


Filter Tips
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
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Blaine TrevisaniWolverines (TRI)G222006-09-19CANYes177 Lbs5 ft8NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm1,300,000$130,000$94,626$No1,300,000$--------1,300,000$--------No--------
Caspar ReicheltWolverines (TRI)RW192009-01-14GERYes250 Lbs6 ft10NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$65,510$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$145,578$No---------------------------
Daryl GoyerWolverines (TRI)D242004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm775,000$77,500$56,412$No775,000$--------775,000$--------No--------
Daulton GammondWolverines (TRI)G242004-11-08CANNo184 Lbs5 ft6NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,995,000$199,500$145,214$No1,995,000$--------1,995,000$--------No--------
Ernest ChamplinWolverines (TRI)LW341994-01-16USANo189 Lbs5 ft8NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm700,000$70,000$50,952$No---------------------------
Erwin HabererWolverines (TRI)C192009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$65,510$No900,000$--------900,000$--------No--------
Fyodor RomantsevWolverines (TRI)LW361992-01-10RUSNo168 Lbs5 ft8NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,500,000$150,000$109,184$No---------------------------
Grayson JambrosichWolverines (TRI)D351993-03-25CANNo206 Lbs6 ft4NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,350,000$135,000$98,265$No---------------------------
Jayce PetrieWolverines (TRI)RW371991-07-09USANo215 Lbs6 ft0NoNoAssign Manually2024-02-11NoNo12025-10-26FalseFalsePro & Farm1,400,000$140,000$101,905$No---------------------------
Jesse-Petteri IvariWolverines (TRI)RW182010-02-05FINYes181 Lbs5 ft11NoNoDraftNoNo32026-05-19FalseFalsePro & Farm900,000$90,000$65,510$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$90,986$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$65,510$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$72,789$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$145,214$No---------------------------
Pavlo BenardWolverines (TRI)C381990-11-08CANNo184 Lbs5 ft10NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm965,000$96,500$70,241$No---------------------------
Peyton FennellWolverines (TRI)D341994-08-27CANNo219 Lbs6 ft2NoNoAssign Manually2025-03-09NoNo12025-10-26FalseFalsePro & Farm715,000$71,500$52,044$No---------------------------
R.J. UptonWolverines (TRI)LW351993-01-07CANNo187 Lbs5 ft5NoNoFree Agent2024-02-05NoNo12026-06-03FalseFalsePro & Farm1,100,000$110,000$80,068$No---------------------------
Riley AntisinWolverines (TRI)C252003-08-20CANYes202 Lbs6 ft3NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,427,924$142,792$103,937$No---------------------------
Ronald DucoWolverines (TRI)D361992-09-20CANNo216 Lbs6 ft7NoNoFree AgentNoNo12026-06-15FalseFalsePro & Farm965,000$96,500$70,241$No---------------------------
Sarno HuopioWolverines (TRI)LW331995-06-23FINNo170 Lbs5 ft7NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$90,000$65,510$No900,000$--------900,000$--------No--------
Sigvard UkkolaWolverines (TRI)RW321996-03-01FINNo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm950,000$95,000$69,150$No---------------------------
Stephan AudetWolverines (TRI)RW371991-04-24USANo176 Lbs5 ft7NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm790,000$79,000$57,503$No---------------------------
Trevor MarcouxWolverines (TRI)D222006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo12025-02-21FalseFalsePro & Farm800,000$80,000$58,231$No---------------------------
Valentin AkerblomWolverines (TRI)C232005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm820,549$82,055$59,727$No---------------------------
Valery KolesnikovWolverines (TRI)RW331995-07-02RUSNo179 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,800,000$180,000$131,020$No---------------------------
Wilhelm BillbergWolverines (TRI)LW232005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo12025-02-18FalseFalsePro & Farm800,000$80,000$58,231$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.81197 Lbs6 ft01.591,144,388$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1R.J. UptonJochen SiegerJayce Petrie35122
2Marcel BlazikErwin HabererJesse-Petteri Ivari35122
3Fyodor RomantsevPavlo BenardCaspar Reichelt20122
4Sarno HuopioJochen SiegerJayce Petrie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pasi-Pekka HoikkalaGrayson Jambrosich35122
2Ronald DucoDaryl Goyer35122
3Damien MosienkoPasi-Pekka Hoikkala20122
4Pasi-Pekka HoikkalaGrayson Jambrosich10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1R.J. UptonJochen SiegerJayce Petrie50122
2Marcel BlazikErwin HabererJesse-Petteri Ivari50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Pasi-Pekka HoikkalaGrayson Jambrosich50122
2Ronald DucoDaryl Goyer50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jochen SiegerJayce Petrie50122
2R.J. UptonErwin Haberer50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Pasi-Pekka HoikkalaGrayson Jambrosich50122
2Ronald DucoDaryl Goyer50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jochen Sieger50122Pasi-Pekka HoikkalaGrayson Jambrosich50122
2Jayce Petrie50122Ronald DucoDaryl Goyer50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jochen SiegerJayce Petrie50122
2R.J. UptonErwin Haberer50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pasi-Pekka HoikkalaGrayson Jambrosich50122
2Ronald DucoDaryl Goyer50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
R.J. UptonJochen SiegerJayce PetriePasi-Pekka HoikkalaGrayson Jambrosich
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
R.J. UptonJochen SiegerJayce PetriePasi-Pekka HoikkalaGrayson Jambrosich
Extra Forwards
Normal PowerPlayPenalty Kill
Caspar Reichelt, Fyodor Romantsev, Sarno HuopioCaspar Reichelt, Fyodor RomantsevSarno Huopio
Extra Defensemen
Normal PowerPlayPenalty Kill
Damien Mosienko, Pasi-Pekka Hoikkala, Ronald DucoDamien MosienkoPasi-Pekka Hoikkala, Ronald Duco
Penalty Shots
Jochen Sieger, Jayce Petrie, R.J. Upton, Erwin Haberer, Jesse-Petteri Ivari
Goalie
#1 : Daulton Gammond, #2 : Patrick Carlyle
Custom OT Lines Forwards
Jochen Sieger, Jayce Petrie, R.J. Upton, Erwin Haberer, Jesse-Petteri Ivari, Caspar Reichelt, Marcel Blazik, Fyodor Romantsev, Sarno Huopio, Pavlo Benard
Custom OT Lines Defensemen
Pasi-Pekka Hoikkala, Grayson Jambrosich, Ronald Duco, Daryl Goyer, Damien Mosienko


Filter Tips
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
OverallHome Visitor
# VS Team 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
1Auroras3120000010100211000005411010000056-120.33310152500172523383224269243198029546015320.00%7271.43%024950349.50%22353441.76%17534450.87%500293486204404199
2Comets1010000014-31010000014-30000000000000.000123001725233322242692431938111625100.00%3166.67%024950349.50%22353441.76%17534450.87%500293486204404199
3Devils10000010651000000000001000001065121.00061016001725233372242692431937915326466.67%5260.00%024950349.50%22353441.76%17534450.87%500293486204404199
4Drillers10001000431100010004310000000000021.00046100017252333622426924319322421200.00%20100.00%024950349.50%22353441.76%17534450.87%500293486204404199
5Hornets21000100541110000003121000010023-130.750571200172523353224269243194216858000%4175.00%024950349.50%22353441.76%17534450.87%500293486204404199
6Hydra1000010023-11000010023-10000000000010.5002350017252333622426924319261213193266.67%4175.00%024950349.50%22353441.76%17534450.87%500293486204404199
7Jacks1000010023-1000000000001000010023-110.50022400172523335224269243193114629200.00%3166.67%024950349.50%22353441.76%17534450.87%500293486204404199
8Kings1010000023-1000000000001010000023-100.000246001725233292242692431942141419200.00%2150.00%024950349.50%22353441.76%17534450.87%500293486204404199
9Northmen11000000413110000004130000000000021.000481200172523335224269243194211173111100.00%10100.00%024950349.50%22353441.76%17534450.87%500293486204404199
10Phantoms2110000067-12110000067-10000000000020.500611170017252336622426924319772268505240.00%4250.00%024950349.50%22353441.76%17534450.87%500293486204404199
11Rock20200000510-51010000014-31010000046-200.0005914001725233652242692431957223845200.00%4250.00%124950349.50%22353441.76%17534450.87%500293486204404199
12Spartans1010000034-11010000034-10000000000000.00036900172523333224269243193551232200.00%10100.00%024950349.50%22353441.76%17534450.87%500293486204404199
13Stingers10001000211000000000001000100021121.00024600172523339224269243192151226400.00%10100.00%024950349.50%22353441.76%17534450.87%500293486204404199
14Vipers2010010068-21010000023-11000010045-110.250681400172523374224269243197187542100.00%5260.00%024950349.50%22353441.76%17534450.87%500293486204404199
15Wolfpack21100000963110000004041010000056-120.500915240117252335822426924319661793506116.67%9188.89%024950349.50%22353441.76%17534450.87%500293486204404199
16Yeti1010000012-1000000000001010000012-100.00011200172523340224269243192871415100.00%2150.00%024950349.50%22353441.76%17534450.87%500293486204404199
Total23511024106874-6135601100353411005013103340-7200.4356811117901172523375122426924319725204459554531324.53%571770.18%124950349.50%22353441.76%17534450.87%500293486204404199
_Since Last GM Reset23511024106874-6135601100353411005013103340-7200.4356811117901172523375122426924319725204459554531324.53%571770.18%124950349.50%22353441.76%17534450.87%500293486204404199
_Vs Conference164701310515108430100024186804003102733-6150.469517913001172523351122426924319506138351376401025.00%431369.77%024950349.50%22353441.76%17534450.87%500293486204404199
_Vs Division813011002331-841101000811-3402001001520-550.313233659001725233251224269243192507318116620315.00%18761.11%124950349.50%22353441.76%17534450.87%500293486204404199

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2320W16811117975172520445955401
All Games
GPWLOTWOTL SOWSOLGFGA
2351124106874
Home Games
GPWLOTWOTL SOWSOLGFGA
135611003534
Visitor Games
GPWLOTWOTL SOWSOLGFGA
100513103340
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
531324.53%571770.18%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
224269243191725233
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24950349.50%22353441.76%17534450.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
500293486204404199


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2026-06-1412Auroras3Wolverines2LBox score
2 - 2026-06-1515Wolverines2Kings3LBox score
5 - 2026-06-1838Hydra3Wolverines2LXBox score
6 - 2026-06-1943Wolverines6Devils5WXXBox score
8 - 2026-06-2164Wolverines4Vipers5LXBox score
9 - 2026-06-2272Auroras1Wolverines3WBox score
11 - 2026-06-2483Wolverines2Stingers1WXBox score
13 - 2026-06-26103Spartans4Wolverines3LBox score
15 - 2026-06-28110Wolverines2Jacks3LXBox score
17 - 2026-06-30128Wolverines2Hornets3LXBox score
19 - 2026-07-02143Wolverines4Rock6LBox score
20 - 2026-07-03156Phantoms4Wolverines1LBox score
22 - 2026-07-05168Northmen1Wolverines4WBox score
24 - 2026-07-07182Vipers3Wolverines2LBox score
25 - 2026-07-08188Drillers3Wolverines4WXBox score
27 - 2026-07-10208Wolverines1Yeti2LBox score
29 - 2026-07-12209Wolverines5Auroras6LBox score
30 - 2026-07-13227Comets4Wolverines1LBox score
32 - 2026-07-15240Phantoms3Wolverines5WBox score
34 - 2026-07-17259Wolfpack0Wolverines4WBox score
36 - 2026-07-19272Rock4Wolverines1LBox score
38 - 2026-07-21286Wolverines5Wolfpack6LBox score
40 - 2026-07-23299Hornets1Wolverines3WBox score
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-
Trade Deadline --- Trades can’t be done after this day is simulated!
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-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price3515
Attendance35,76423,484
Attendance PCT91.70%90.32%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 4558 - 91.15% 160,400$2,085,201$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,078,349$ 3,089,847$ 3,089,847$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
3,089,847$ 860,662$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,330,802$ 107 26,462$ 2,831,434$




Wolverines Players Stat Leaders (Regular Season)

# Player Name 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 Sieger282891242133329432355668612.97%123534118.94202848533361912349.02%20.80314
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 Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pascal Lord125674390.9222.28721783274351914321040.68025
2Daulton Gammond1085339100.9162.54626742265317213601110.75044
3Patrick Carlyle973834180.9152.5955026123727981399210.68050
4Antonio Jean2515900.9182.3914562258711344110.6673
5Blaine Trevisani2181100.8863.6412052173638326110.8336

Wolverines Career Team Stats

OverallHomeVisitor
Year 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
Regular Season
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
623511024106874-6135601100353411005013103340-7206811117901172523375122426924319725204459554531324.53%571770.18%124950349.50%22353441.76%17534450.87%500293486204404199
Total Regular Season42314417504220192310941146-5221383830226811592578142106192020141112502568-66453109417802874910223405405781159733754028397835912890425644931027979520025.16%92323774.32%163871794148.75%4490943547.59%2821571549.36%890550018986384778043919
Playoff
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 Playoff301416000007585-1014410000003145-14161060000044404287511719210232821383226329325521996317300653632031.75%752665.33%128356450.18%36575148.60%20441948.69%623348662274551282

Wolverines Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name 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