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

Wolverines
GP: 4 | W: 0 | L: 3 | OTL: 1 | P: 1
GF: 10 | GA: 14 | PP%: 26.67% | PK%: 100.00%
GM : Alexandre Bouchard | Morale : 50 | Team Overall : 72

Game Center
Wolverines
0-3-1, 1pts
4
5 Kings
4-0-0, 8pts
Team Stats
L2StreakW4
0-1-1Home Record2-0-0
0-2-0Home Record2-0-0
0-3-1Last 10 Games4-0-0
2.50Goals Per Game4.75
3.50Goals Against Per Game3.25
26.67%Power Play Percentage8.33%
100.00%Penalty Kill Percentage62.50%
Wolverines
0-3-1, 1pts
1
2 Auroras
2-2-0, 4pts
Team Stats
L2StreakW1
0-1-1Home Record1-1-0
0-2-0Home Record1-1-0
0-3-1Last 10 Games2-2-0
2.50Goals Per Game2.00
3.50Goals Against Per Game2.00
26.67%Power Play Percentage20.00%
100.00%Penalty Kill Percentage100.00%
Team Leaders
Goals
Sarno Huopio
3
Assists
Jochen Sieger
3
Points
Sarno Huopio
5
Plus/Minus
Sarno Huopio
0
Wins
Daulton Gammond
0
Save Percentage
Daulton Gammond
0.901

Team Stats
Goals For
10
2.50 GFG
Shots For
131
32.75 Avg
Power Play Percentage
26.7%
4 GF
Offensive Zone Start
35.5%
Goals Against
14
3.50 GAA
Shots Against
121
30.25 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
39.8%
Team Info

General ManagerAlexandre Bouchard
CoachWolf-Dieter Niemeyer
DivisionNorthwest
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team27
Farm Team18
Contract Limit45 / 55
Prospects2


Team History

This Season0-3-1 (1PTS)
History197-167-63 (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 Sieger11X100.0042678174849164898684598058569741507702741,250,000$
2Jayce Petrie83X100.007069947192827292808438738650600507703711,400,000$
3Riordan Winstone9X100.008753989763758867964577825236465507603511,950,000$
4R.J. Upton79X100.009061916183946174798764599468360507603511,100,000$
5Valery Kolesnikov46X100.009845647668837785734777929275665507503311,800,000$
6Erwin Haberer (R)80X100.006566867877767077727166867764747850750192900,000$
7Marcel Blazik (R)0X100.007461877367787693606492566774636850740203900,000$
8Caspar Reichelt (R)0X100.008667726877738575587084656760698450740193900,000$
9Jesse-Petteri Ivari (R)0X100.006768787877756853697084908164686550740183900,000$
10Pavlo Benard81X100.00416780626889518465875892398854050730381965,000$
11Fyodor Romantsev28X100.005638886449788390865882797966980507303611,500,000$
12Sarno Huopio25X100.00926866856264859870717144906756850730332900,000$
13Lubos Gebauer (R)48X100.0051616487819076787676806485836457507701921,000,000$
14Pasi-Pekka Hoikkala (R)0X100.0069656769858576678174847974836060507601831,000,000$
15Grayson Jambrosich47X100.007466739290666767256950763464642507403511,350,000$
16Daryl Goyer (R)73X100.003452906758859782253959962893535550690242775,000$
17Damien Mosienko (R)57X100.0072337985276267692567409786945065506502311,999,999$
18Trevor Marcoux (R)56X100.003644918130816081253364868654736250600221800,000$
Scratches
1Ernest Champlin82X100.006442825793805183738662645566661050730341700,000$
2Sigvard Ukkola0X100.009348868679795190908043416459591750720321950,000$
3Stephan Audet0X100.00635296649292696189563383719671250700371790,000$
4Riley Antisin (R)85X100.0027428366576166825992873076327049506702511,427,924$
5Valentin Akerblom (R)72X100.008147608241695564985751879568566950650231820,549$
6Wilhelm Billberg (R)40X100.003334738946777072626356546335536250640231800,000$
7Peyton Fennell0X100.007635896167696488256934759770781250680341715,000$
TEAM AVERAGE100.00665481756978707866686473726764355072
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
TEAM AVERAGE100.0070746588888380778373712866535078
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
1Sarno HuopioWolverines (TRI)LW432502092157420.00%16616.5911241000000000%131001.5100000000
2Marcel BlazikWolverines (TRI)LW4224000331431114.29%16817.13112210000000033.33%1232001.1700000000
3Jochen SiegerWolverines (TRI)C4033-30061212650%28320.80022312000050043.42%7614000.7200000000
4Lubos GebauerWolverines (TRI)D4033-6115149520%510225.6901111500003000%033000.5800100000
5Erwin HabererWolverines (TRI)C4303-200851481021.43%17719.47101212000020038.81%6713000.7700000001
6Jesse-Petteri IvariWolverines (TRI)RW4213-2208262333.33%07518.91112210000030050.00%600000.7900000001
7Grayson JambrosichWolverines (TRI)D4011055644110%78922.3500011200004000%023000.2200100000
8Daryl GoyerWolverines (TRI)D4011055155020%49122.930000900006000%002000.2200001000
9Pasi-Pekka HoikkalaWolverines (TRI)D4011-700894060%710225.5100001200007000%003000.2000000000
10Pavlo BenardWolverines (TRI)C4000-100016000%0287.0400000000000042.86%70000000000000
11Riordan WinstoneWolverines (TRI)C4000-40011511450%26115.3200001000050054.29%354000000000000
12R.J. UptonWolverines (TRI)LW4000-320836100%04310.770000000002000%01000000000000
13Fyodor RomantsevWolverines (TRI)LW4000-200248340%14611.73000010000200100.00%34000000000000
14Damien MosienkoWolverines (TRI)D4000-100461000%35513.890000200001000%00000000000000
15Jayce PetrieWolverines (TRI)RW4000-400233100%04611.640000200000000%02000000000000
16Valery KolesnikovWolverines (TRI)RW4000-200978150%04812.2300002000010020.00%50200000000000
17Trevor MarcouxWolverines (TRI)D4000-100011100%24210.580000000000000%00000000000000
18Caspar ReicheltWolverines (TRI)RW40000001244240%46917.270000100000000100.00%10100000000000
Team Total or Average72101424-382715988013145627.63%40119916.664610151290000470043.66%2132424000.4000201002
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
1Patrick CarlyleWolverines (TRI)20200.8603.891080075030100022000
2Daulton GammondWolverines (TRI)30110.9013.161330077128000022001
Team Total or Average50310.8843.4724200141215810044001


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
Caspar ReicheltWolverines (TRI)RW192009-01-14GERYes250 Lbs6 ft10NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$90,000$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$200,000$No---------------------------
Daryl GoyerWolverines (TRI)D242004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm775,000$77,500$77,500$No775,000$--------775,000$--------No--------
Daulton GammondWolverines (TRI)G242004-11-08CANNo184 Lbs5 ft6NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,995,000$199,500$199,500$No1,995,000$--------1,995,000$--------No--------
Ernest ChamplinWolverines (TRI)LW341994-01-16USANo189 Lbs5 ft8NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Erwin HabererWolverines (TRI)C192009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$90,000$No900,000$--------900,000$--------No--------
Fyodor RomantsevWolverines (TRI)LW361992-01-10RUSNo168 Lbs5 ft8NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,500,000$150,000$150,000$No---------------------------
Grayson JambrosichWolverines (TRI)D351993-03-25CANNo206 Lbs6 ft4NoNoFree AgentNoNo12026-06-02FalseFalsePro & Farm1,350,000$135,000$135,000$No---------------------------
Jayce PetrieWolverines (TRI)RW371991-07-09USANo215 Lbs6 ft0NoNoAssign Manually2024-02-11NoNo12025-10-26FalseFalsePro & Farm1,400,000$140,000$140,000$No---------------------------
Jesse-Petteri IvariWolverines (TRI)RW182010-02-05FINYes181 Lbs5 ft11NoNoDraftNoNo32026-05-19FalseFalsePro & Farm900,000$90,000$90,000$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$125,000$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Lubos GebauerWolverines (TRI)D192009-08-01CZEYes207 Lbs6 ft0NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$--------1,000,000$--------No--------
Marcel BlazikWolverines (TRI)LW202008-05-14CZEYes192 Lbs6 ft4NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$90,000$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$100,000$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$199,500$No---------------------------
Pavlo BenardWolverines (TRI)C381990-11-08CANNo184 Lbs5 ft10NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm965,000$96,500$96,500$No---------------------------
Peyton FennellWolverines (TRI)D341994-08-27CANNo219 Lbs6 ft2NoNoAssign Manually2025-03-09NoNo12025-10-26FalseFalsePro & Farm715,000$71,500$71,500$No---------------------------
R.J. UptonWolverines (TRI)LW351993-01-07CANNo187 Lbs5 ft5NoNoFree Agent2024-02-05NoNo12026-06-03FalseFalsePro & Farm1,100,000$110,000$110,000$No---------------------------
Riley AntisinWolverines (TRI)C252003-08-20CANYes202 Lbs6 ft3NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,427,924$142,792$142,792$No---------------------------
Riordan WinstoneWolverines (TRI)C351993-04-03USANo215 Lbs6 ft2NoNoFree AgentNoNo12026-06-01FalseFalsePro & Farm1,950,000$195,000$195,000$No---------------------------
Sarno HuopioWolverines (TRI)LW331995-06-23FINNo170 Lbs5 ft7NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$90,000$90,000$No900,000$--------900,000$--------No--------
Sigvard UkkolaWolverines (TRI)RW321996-03-01FINNo165 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm950,000$95,000$95,000$No---------------------------
Stephan AudetWolverines (TRI)RW371991-04-24USANo176 Lbs5 ft7NoNoFree AgentNoNo12026-06-04FalseFalsePro & Farm790,000$79,000$79,000$No---------------------------
Trevor MarcouxWolverines (TRI)D222006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo12025-02-21FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Valentin AkerblomWolverines (TRI)C232005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm820,549$82,055$82,055$No---------------------------
Valery KolesnikovWolverines (TRI)RW331995-07-02RUSNo179 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,800,000$180,000$180,000$No---------------------------
Wilhelm BillbergWolverines (TRI)LW232005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo12025-02-18FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.67198 Lbs6 ft01.591,169,758$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marcel BlazikErwin HabererCaspar Reichelt35122
2Sarno HuopioJochen SiegerJesse-Petteri Ivari35122
3R.J. UptonRiordan WinstoneJayce Petrie20122
4Fyodor RomantsevPavlo BenardValery Kolesnikov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala35122
2Grayson JambrosichDaryl Goyer35122
3Damien MosienkoTrevor Marcoux20122
4Lubos GebauerPasi-Pekka Hoikkala10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marcel BlazikErwin HabererCaspar Reichelt50122
2Jesse-Petteri IvariJochen SiegerSarno Huopio50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala50122
2Grayson JambrosichLubos Gebauer50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jochen SiegerR.J. Upton50122
2Riordan WinstoneJesse-Petteri Ivari50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala50122
2Grayson JambrosichDaryl Goyer50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jochen Sieger50122Lubos GebauerPasi-Pekka Hoikkala50122
2Riordan Winstone50122Grayson JambrosichDaryl Goyer50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jochen SiegerR.J. Upton50122
2Riordan WinstoneMarcel Blazik50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lubos GebauerPasi-Pekka Hoikkala50122
2Grayson JambrosichDaryl Goyer50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
R.J. UptonJochen SiegerJayce PetrieLubos GebauerPasi-Pekka Hoikkala
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marcel BlazikRiordan WinstoneValery KolesnikovGrayson JambrosichDaryl Goyer
Extra Forwards
Normal PowerPlayPenalty Kill
Valery Kolesnikov, Erwin Haberer, Caspar ReicheltValery Kolesnikov, Erwin HabererValery Kolesnikov
Extra Defensemen
Normal PowerPlayPenalty Kill
Daryl Goyer, Damien Mosienko, Trevor MarcouxDaryl GoyerDaryl Goyer, Damien Mosienko
Penalty Shots
Jayce Petrie, Jochen Sieger, R.J. Upton, Riordan Winstone, Valery Kolesnikov
Goalie
#1 : Patrick Carlyle, #2 : Daulton Gammond
Custom OT Lines Forwards
Jayce Petrie, Jochen Sieger, R.J. Upton, Riordan Winstone, Valery Kolesnikov, Erwin Haberer, Caspar Reichelt, Jesse-Petteri Ivari, Marcel Blazik, Fyodor Romantsev
Custom OT Lines Defensemen
Lubos Gebauer, Pasi-Pekka Hoikkala, Grayson Jambrosich, 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
1Auroras1010000012-1000000000001010000012-100.000123004420304742420268726300.00%10100.00%0347545.33%348440.48%255248.08%844786377237
2Jacks1000010045-11000010045-10000000000010.5004590044203847424203279255240.00%20100.00%0347545.33%348440.48%255248.08%844786377237
3Kings1010000045-1000000000001010000045-100.000461000442032474242027112285240.00%10100.00%0347545.33%348440.48%255248.08%844786377237
4Outlaws1010000012-11010000012-10000000000000.0001120044203147424203614919200.00%20100.00%0347545.33%348440.48%255248.08%844786377237
Total403001001014-42010010057-22020000057-210.125101424004420131474242012140279815426.67%60100.00%0347545.33%348440.48%255248.08%844786377237
_Since Last GM Reset403001001014-42010010057-22020000057-210.125101424004420131474242012140279815426.67%60100.00%0347545.33%348440.48%255248.08%844786377237
_Vs Conference403001001014-42010010057-22020000057-210.125101424004420131474242012140279815426.67%60100.00%0347545.33%348440.48%255248.08%844786377237
_Vs Division2010010057-2000001000002010000057-210.250581300442062474242053199548225.00%20100.00%0347545.33%348440.48%255248.08%844786377237

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
41L210142413112140279800
All Games
GPWLOTWOTL SOWSOLGFGA
40301001014
Home Games
GPWLOTWOTL SOWSOLGFGA
201010057
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000057
Last 10 Games
WLOTWOTL SOWSOL
030100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15426.67%60100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
47424204420
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
347545.33%348440.48%255248.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
844786377237


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
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-03-319Outlaws2Wolverines1LBox score
2 - 2026-04-0115Jacks5Wolverines4LXBox score
3 - 2026-04-0239Wolverines4Kings5LBox score
4 - 2026-04-0352Wolverines1Auroras2LBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 3,158,347$ 3,158,347$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
3,158,347$ 0$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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 Sieger263721091812627030252160012.00%114493518.77162642502351710248.66%00.73313
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 Gammond95483480.9212.3955004121927651192810.72540
3Patrick Carlyle903531170.9142.6151256122326011316310.68050
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
6403001001014-42010010057-22020000057-21101424004420131474242012140279815426.67%60100.00%0347545.33%348440.48%255248.08%844786377237
Total Regular Season40413916704017182310361086-5020278780216811562551112026189019111012474535-614341036168327199921038438475109773198380137773401228640924061982375719125.23%87222074.77%153656751348.66%4301898547.87%2671542349.25%848947558586368074723757
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