KamloopsWolverines
GP W L OT Pts
54 22 26 6 50
GM: Alexandre Bouchard
Season 5 GM of the year
League Rank:23rd Arena: Kamloops Arena
Conference: Western Conference Conference Rank:12nd Capacity:5,000
Division: Northwest Division Rank:5th Total Player Salaries:5,044,847$
Captain: Jochen Sieger Last 10: 6-4-0
Coach: Wolf-Dieter Niemeyer Home: 9-12-2
All-Time Record: 197 W - 164 L - 39 OTL Away: 6-14-4
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Jochen Sieger (C)11C96.00426781748491648986845980585697415077271,250,000$/4yrs
Riordan Winstone9C96.0087539897637588679645778252364655076351,950,000$/1yrs
R.J. Upton79LW100.0090619161839461747987645994683605076351,100,000$/1yrs
Valery Kolesnikov46RW100.0098456476688377857347779292756655075331,800,000$/1yrs
Erwin Haberer (R) (A)80C98.0065668678777670777271668677647478507519900,000$/2yrs
Marcel Blazik (R)22LW100.0074618773677876936064925667746368507420900,000$/3yrs
Caspar Reichelt (R)71RW99.0086677268777385755870846567606984507419900,000$/3yrs
Jesse-Petteri Ivari (R)10RW100.0067687878777568536970849081646865507418900,000$/3yrs
Ernest Champlin82LW98.0064428257938051837386626455666610507334700,000$/1yrs
Fyodor Romantsev28LW100.0056388864497883908658827979669805073361,500,000$/1yrs
Sarno Huopio25LW100.009268668562648598707171449067568507333900,000$/2yrs
Sigvard Ukkola64RW100.0093488686797951909080434164595917507232950,000$/1yrs
Pasi-Pekka Hoikkala (R)60D100.00696567698585766781748479748360605076181,000,000$/3yrs
Grayson Jambrosich47D98.0074667392906667672569507634646425074351,350,000$/1yrs
Ronald Duco8D99.004164896649918893257173709580844507336965,000$/1yrs
Zackary Rothschild23D100.00444991884194657725805497416997245071301,900,000$/3yrs
Daryl Goyer (R)73D100.0034529067588597822539599628935355506924775,000$/2yrs
Damien Mosienko (R)57D100.00723379852762676925674097869450655065231,999,999$/1yrs
Scratches
Pavlo Benard81C100.004167806268895184658758923988540507338965,000$/1yrs
Stephan Audet0RW100.006352966492926961895633837196712507037790,000$/1yrs
Riley Antisin (R)85C100.00274283665761668259928730763270495067251,427,924$/1yrs
Valentin Akerblom (R)72C100.0081476082416955649857518795685669506523820,549$/1yrs
Wilhelm Billberg (R)40LW100.0033347389467770726263565463355362506423800,000$/1yrs
Peyton Fennell0D97.9676358961676964882569347597707812506834715,000$/1yrs
Trevor Marcoux (R)56D100.0036449181308160812533648686547362506022800,000$/1yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Daulton Gammond75100.0069906684789879857275872886535080241,995,000$/2yrs
Patrick Carlyle3599.0071576492976881689471552846535076241,995,000$/1yrs
Scratches
Blaine Trevisani1100.0068697677697487606478894254655072221,300,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wolf-Dieter Niemeyer95953445997370GER562800,000$
General Manager
Alexandre Bouchard
Player Stats
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 Name POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MPG PPT PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Jochen SiegerWolverinesWolverines (TRI)C4729316086050681816111616.02%2421.240.005510101543150.92%021.28141.13
2Marcel BlazikWolverinesWolverines (TRI)LW542020406793571220541539.09%1017.170.0016700003044.19%010.74000.72
3Erwin HabererWolverinesWolverines (TRI)C54152136-11894588146467110.27%3218.000.004812000752243.56%000.67030.36
4R.J. UptonWolverinesWolverines (TRI)LW5413203373620105115435711.30%1917.630.00347000514150.00%100.61120.60
5Caspar ReicheltWolverinesWolverines (TRI)RW541015254692513310930569.17%2816.200.0033600081239.29%000.46230.37
6Fyodor RomantsevWolverinesWolverines (TRI)LW54118194407590294412.22%913.120.00000000182150.00%000.35120.44
7Grayson JambrosichWolverinesWolverines (TRI)D543151858040966131284.92%7123.630.0000000062020.00%000.33000.17
8Valery KolesnikovWolverinesWolverines (TRI)RW361151683155679204513.92%1314.170.00011000291035.29%000.44030.48
9Pasi-Pekka HoikkalaWolverinesWolverines (TRI)D5011415-11104601186530331.54%5625.640.0012300076010.00%000.3000-0.05
10Jesse-Petteri IvariWolverinesWolverines (TRI)RW5451015-115830976120468.20%2018.070.00347000280048.21%000.28110.07
11Riordan WinstoneWolverinesWolverines (TRI)C306814240467919477.59%1117.830.00101000290048.81%000.47030.58
12Sarno HuopioWolverinesWolverines (TRI)LW4421012-93420475634403.57%77.850.0001100070033.33%000.27000.14
13Ernest ChamplinWolverinesWolverines (TRI)LW364610-820383481911.76%79.710.00134000210051.72%000.28000.21
14Daryl GoyerWolverinesWolverines (TRI)D54371004220255930235.08%6722.310.0021300096000.00%000.19000.13
15Pavlo BenardWolverinesWolverines (TRI)C4235803925204718316.38%89.940.00000000330044.02%000.19000.07
16Ronald DucoWolverinesWolverines (TRI)D38167-11210305619161.79%3221.440.0011200049000.00%000.18000.21
17Peyton FennellWolverinesWolverines (TRI)D30066520159480.00%2013.040.0000000017000.00%000.20000.23
18Damien MosienkoWolverinesWolverines (TRI)D510664240382810160.00%2512.800.0000000035000.00%000.12000.09
19Riley AntisinWolverinesWolverines (TRI)C17134-5003218164.76%28.480.0000000001032.76%000.24000.18
20Sigvard UkkolaWolverinesWolverines (TRI)RW20123-27527253144.00%19.720.0000000000014.29%000.15000.15
21Trevor MarcouxWolverinesWolverines (TRI)D1802201210115480.00%514.510.0000000028000.00%000.11000.03
22Stephan AudetWolverinesWolverines (TRI)RW5000-20053020.00%07.720.00000000000100.00%000.0000-0.08
23Zackary RothschildWolverinesWolverines (TRI)D600000001000.00%18.960.000000001000.00%000.0000-0.01
Team Total or Average902139220359-7788400120215605218898.91%46816.50253964773101727171046.65%2984298369130.48621
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 GammondWolverinesWolverines (TRI)36141340.9013.021984021001015444300.769133420422
2Patrick CarlyleWolverinesWolverines (TRI)2381220.9042.9612570062647313100.87582029001
3Blaine TrevisaniWolverinesWolverines (TRI)10100.8289.09330052914000.000005000
Team Total or Average60222660.9013.063274021671691771400.810215454423
Salary
Player Name POS Age Cap Hit 6-7 7 8 9 10 11 12 13
Blaine Trevisani G221,300,000$1,300,000$ 1,300,000$
Caspar Reichelt RW19900,000$900,000$ 900,000$ 900,000$
Damien Mosienko D231,999,999$1,999,999$
Daryl Goyer D24775,000$775,000$ 775,000$
Daulton Gammond G241,995,000$1,995,000$ 1,995,000$
Ernest Champlin LW34700,000$700,000$
Erwin Haberer C19900,000$900,000$ 900,000$
Fyodor Romantsev LW361,500,000$1,500,000$
Grayson Jambrosich D351,350,000$1,350,000$
Jesse-Petteri Ivari RW18900,000$900,000$ 900,000$ 900,000$
Jochen Sieger C271,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$
Marcel Blazik LW20900,000$900,000$ 900,000$ 900,000$
Pasi-Pekka Hoikkala D181,000,000$1,000,000$ 1,000,000$ 1,000,000$
Patrick Carlyle G241,995,000$1,995,000$
Pavlo Benard C38965,000$965,000$
Peyton Fennell D34715,000$715,000$
R.J. Upton LW351,100,000$1,100,000$
Riley Antisin C251,427,924$1,427,924$
Riordan Winstone C351,950,000$1,950,000$
Ronald Duco D36965,000$965,000$
Sarno Huopio LW33900,000$900,000$ 900,000$
Sigvard Ukkola RW32950,000$950,000$
Stephan Audet RW37790,000$790,000$
Trevor Marcoux D22800,000$800,000$
Valentin Akerblom C23820,549$820,549$
Valery Kolesnikov RW331,800,000$1,800,000$
Wilhelm Billberg LW23800,000$800,000$
Zackary Rothschild D301,900,000$1,900,000$ 1,900,000$ 1,900,000$

Lines

5v5 Lines

GP: 36 | G: 4 | A: 6 | PTS: 10
80
GP: 54 | G: 15 | A: 21 | PTS: 36
GP: 54 | G: 10 | A: 15 | PTS: 25
GP: 54 | G: 11 | A: 8 | PTS: 19
11
GP: 47 | G: 29 | A: 31 | PTS: 60
GP: 30 | G: 6 | A: 8 | PTS: 14
22
GP: 54 | G: 20 | A: 20 | PTS: 40
11
GP: 47 | G: 29 | A: 31 | PTS: 60
10
GP: 54 | G: 5 | A: 10 | PTS: 15
79
GP: 54 | G: 13 | A: 20 | PTS: 33
GP: 30 | G: 6 | A: 8 | PTS: 14
GP: 36 | G: 11 | A: 5 | PTS: 16
73
GP: 54 | G: 3 | A: 7 | PTS: 10
GP: 54 | G: 3 | A: 15 | PTS: 18
GP: 50 | G: 1 | A: 14 | PTS: 15
8
GP: 38 | G: 1 | A: 6 | PTS: 7
8
GP: 38 | G: 1 | A: 6 | PTS: 7
GP: 50 | G: 1 | A: 14 | PTS: 15

Power Play Lines

GP: 36 | G: 4 | A: 6 | PTS: 10
80
GP: 54 | G: 15 | A: 21 | PTS: 36
GP: 54 | G: 10 | A: 15 | PTS: 25
73
GP: 54 | G: 3 | A: 7 | PTS: 10
GP: 54 | G: 3 | A: 15 | PTS: 18
GP: 54 | G: 11 | A: 8 | PTS: 19
11
GP: 47 | G: 29 | A: 31 | PTS: 60
GP: 30 | G: 6 | A: 8 | PTS: 14
GP: 50 | G: 1 | A: 14 | PTS: 15
8
GP: 38 | G: 1 | A: 6 | PTS: 7

Goalies

35
W: 8 | L: 12 | 0.904 SV%
75
W: 14 | L: 13 | 0.901 SV%
Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1WolverinesJacks30100101611-520.3336814003561558101503595578559446326810220.00%6266.67%0551114248.25%544119645.48%38380147.82%1135636115549299049530.8%5.9%88.3%94.2Unlucky
2WolverinesRampage1010000025-300.00023500356155822503595578552973728100.00%6350.00%0551114248.25%544119645.48%38380147.82%1135636115549299049550.0%9.1%82.8%91.8FUN
3WolverinesKings2110000064220.50061117003561558615035955785572241858300.00%4175.00%0551114248.25%544119645.48%38380147.82%1135636115549299049566.7%9.8%94.4%104.3LUCKY
4WolverinesComets2010001057-220.50056110035615586050359557855741928664125.00%4250.00%0551114248.25%544119645.48%38380147.82%1135636115549299049544.4%8.3%90.5%98.9Unlucky
5WolverinesCrusaders2020000047-300.00046100035615586650359557855451615385120.00%5180.00%0551114248.25%544119645.48%38380147.82%1135636115549299049533.3%6.1%84.4%90.5Unlucky
6WolverinesBulldogs2020000058-300.00058130035615587050359557855681532513133.33%6350.00%0551114248.25%544119645.48%38380147.82%1135636115549299049544.4%7.1%88.2%95.4Unlucky
7WolverinesRock20200000510-500.0005914003561558655035955785557223845200.00%4250.00%1551114248.25%544119645.48%38380147.82%1135636115549299049538.5%7.7%82.5%90.1Unlucky
8WolverinesAuroras413000001315-220.2501320330035615581155035955785511137689018422.22%9366.67%0551114248.25%544119645.48%38380147.82%1135636115549299049542.9%11.3%86.5%97.8FUN
9WolverinesJazz2100001064241.0006713003561558645035955785544221353200.00%40100.00%0551114248.25%544119645.48%38380147.82%1135636115549299049560.0%9.4%90.9%100.3FUN
10WolverinesHornets411001011215-340.500121628003561558127503595578551063312115100.00%6183.33%0551114248.25%544119645.48%38380147.82%1135636115549299049546.2%9.4%85.8%95.3FUN
11WolverinesWolfpack2110000096320.500915240135615585850359557855661793506116.67%9188.89%0551114248.25%544119645.48%38380147.82%1135636115549299049561.5%15.5%90.9%106.4FUN
12WolverinesVipers3110010099030.5009132200356155810250359557855112228963100.00%7271.43%0551114248.25%544119645.48%38380147.82%1135636115549299049556.3%8.8%92.0%100.8DULL
13WolverinesDevils302000101012-220.3331016260035615581015035955785511324338711545.45%9544.44%0551114248.25%544119645.48%38380147.82%1135636115549299049541.7%9.9%89.4%99.3FUN
14WolverinesGuppies1100000042221.000471100356155839503595578553874135240.00%2150.00%0551114248.25%544119645.48%38380147.82%1135636115549299049566.7%10.3%94.7%105.0LUCKY
15WolverinesStingers2100100051441.00051015013561558755035955785534111443500.00%20100.00%0551114248.25%544119645.48%38380147.82%1135636115549299049583.3%6.7%97.1%103.7DULL
16WolverinesSchooners1100000053221.0005712003561558285035955785526171118300.00%3166.67%0551114248.25%544119645.48%38380147.82%1135636115549299049571.4%17.9%88.5%106.3FUN
17WolverinesHydra2010010036-310.2503580035615586650359557855631921455240.00%8187.50%0551114248.25%544119645.48%38380147.82%1135636115549299049516.7%4.5%90.5%95.0Unlucky
18WolverinesPhantoms3110001099040.6679132200356155892503595578551173672757228.57%6266.67%0551114248.25%544119645.48%38380147.82%1135636115549299049550.0%9.8%92.3%102.1LUCKY
19WolverinesSpartans2010001066020.50061016003561558625035955785566174255200.00%6183.33%0551114248.25%544119645.48%38380147.82%1135636115549299049554.5%9.7%90.9%100.6FUN
20WolverinesNorthmen1100000041321.000481200356155835503595578554211173111100.00%10100.00%0551114248.25%544119645.48%38380147.82%1135636115549299049575.0%11.4%97.6%109.0LUCKY
21WolverinesYeti43100000168860.750162642003561558131503595578551224539814125.00%7185.71%0551114248.25%544119645.48%38380147.82%1135636115549299049568.2%12.2%93.4%105.7LUCKY
22WolverinesWild Wings1010000013-200.000112003561558275035955785529113421200.00%220.00%0551114248.25%544119645.48%38380147.82%1135636115549299049550.0%3.7%89.7%93.4Unlucky
23WolverinesDrillers3110100088040.66781321003561558955035955785597272366300.00%9188.89%0551114248.25%544119645.48%38380147.82%1135636115549299049553.3%8.4%91.8%100.2DULL
24WolverinesSwamp Puppies2020000059-400.00059140035615584850359557855661948486350.00%4250.00%0551114248.25%544119645.48%38380147.82%1135636115549299049522.2%10.4%86.4%96.8FUN
_Vs Division1156011013338-5140.6363353860035615583435035955785535210521325624416.67%24866.67%1551114248.25%544119645.48%38380147.82%1135636115549299049549.2%9.6%89.2%98.8FUN
_Vs Conference32111301322102993330.5161021582600135615581022503595578551048318483766691724.64%742072.97%0551114248.25%544119645.48%38380147.82%1135636115549299049551.8%10.0%90.6%100.5FUN
_Since Last GM Reset54152602452158169-11500.463158247405023561558171050359557855169152483313081102623.64%1293870.54%1551114248.25%544119645.48%38380147.82%1135636115549299049550.2%9.2%90.0%99.2FUN
Total54152602452158169-11500.463158247405023561558171050359557855169152483313081102623.64%1293870.54%1551114248.25%544119645.48%38380147.82%1135636115549299049550.2%9.2%90.0%99.2FUN

Puck Time
Offensive Zone 21
Neutral Zone 18
Defensive Zone 21
Puck Time
Offensive Zone Start 1142
Neutral Zone Start 801
Defensive Zone Start 1196
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1478
Faceoffs Lost 1661
Team Average Shots after League Average Shots after
1st Period 9.39.57
2nd Period 20.320.31
3rd Period 31.030.68
Overtime 32.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.81.65
3rd Period 2.82.67
Overtime 2.92.83
Even Strenght Goal 131
PP Goal 26
PK Goal 1
Empty Net Goal 0
Home Away
Win 1111
Lost 1214
Overtime Lost 24
PP Attempt 110
PP Goal 26
PK Attempt 129
PK Goal Against 38
Home
Shots For 31.7
Shots Against 31.3
Goals For 2.9
Goals Against 3.1
Hits 24.2
Shots Blocked 9.7
Pim 15.4
Schedule
Mon, Jun 15
Auroras
3
2
Wolverines
Tue, Jun 16
Wolverines
2
3
Kings
Fri, Jun 19
Hydra
3
2
(OT)
Wolverines
Sat, Jun 20
Wolverines
6
5
(SO)
Devils
Mon, Jun 22
Wolverines
4
5
(OT)
Vipers
Tue, Jun 23
Auroras
1
3
Wolverines
Thu, Jun 25
Wolverines
2
1
(OT)
Stingers
Sat, Jun 27
Spartans
4
3
Wolverines
Mon, Jun 29
Wolverines
2
3
(OT)
Jacks
Wed, Jul 1
Wolverines
2
3
(OT)
Hornets
Fri, Jul 3
Wolverines
4
6
Rock
Sat, Jul 4
Phantoms
4
1
Wolverines
Mon, Jul 6
Northmen
1
4
Wolverines
Wed, Jul 8
Vipers
3
2
Wolverines
Thu, Jul 9
Drillers
3
4
(OT)
Wolverines
Sat, Jul 11
Wolverines
1
2
Yeti
Mon, Jul 13
Wolverines
5
6
Auroras
Tue, Jul 14
Comets
4
1
Wolverines
Thu, Jul 16
Phantoms
3
5
Wolverines
Sat, Jul 18
Wolfpack
0
4
Wolverines
Mon, Jul 20
Rock
4
1
Wolverines
Wed, Jul 22
Wolverines
5
6
Wolfpack
Fri, Jul 24
Hornets
1
3
Wolverines
Sat, Jul 25
Wolverines
1
3
Hydra
Mon, Jul 27
Jacks
4
3
(SO)
Wolverines
Wed, Jul 29
Bulldogs
3
2
Wolverines
Thu, Jul 30
Yeti
3
4
Wolverines
Sat, Aug 1
Wolverines
4
2
Guppies
Mon, Aug 3
Wolverines
1
2
(SO)
Hornets
Tue, Aug 4
Wolverines
3
4
Devils
Thu, Aug 6
Crusaders
3
1
Wolverines
Sat, Aug 8
Wolverines
3
1
Drillers
Mon, Aug 10
Hornets
9
6
Wolverines
Wed, Aug 12
Stingers
0
3
Wolverines
Thu, Aug 13
Wolverines
3
2
(SO)
Spartans
Sat, Aug 15
Vipers
1
3
Wolverines
Mon, Aug 17
Wolverines
2
5
Rampage
Wed, Aug 19
Wolverines
1
4
Jacks
Fri, Aug 21
Yeti
2
5
Wolverines
Sat, Aug 22
Drillers
4
1
Wolverines
Mon, Aug 24
Wolverines
3
4
Crusaders
Tue, Aug 25
Swamp Puppies
5
2
Wolverines
Thu, Aug 27
Wolverines
2
1
Jazz
Sat, Aug 29
Devils
3
1
Wolverines
Mon, Aug 31
Wolverines
3
2
(SO)
Phantoms
Wed, Sep 2
Wolverines
5
3
Schooners
Thu, Sep 3
Wolverines
6
1
Yeti
Sat, Sep 5
Wolverines
3
5
Auroras
Mon, Sep 7
Wolverines
1
3
Wild Wings
Thu, Sep 10
Wolverines
3
5
Bulldogs
Sat, Sep 12
Wolverines
4
1
Kings
Mon, Sep 14
Wolverines
4
3
(SO)
Comets
Wed, Sep 16
Jazz
3
4
(SO)
Wolverines
Thu, Sep 17
Wolverines
3
4
Swamp Puppies
Sat, Sep 19
Jacks
Wolverines
Mon, Sep 21
Wolverines
Drillers
Tue, Sep 22
Wolverines
Yeti
Fri, Sep 25
Yeti
Wolverines
Sat, Sep 26
Wolfpack
Wolverines
Trade Deadline --- Trades can't be done after this day is simulated!
Mon, Sep 28
Rampage
Wolverines
Tue, Sep 29
Drillers
Wolverines
Fri, Oct 2
Wolverines
Auroras
Sat, Oct 3
Schooners
Wolverines
Mon, Oct 5
Kings
Wolverines
Tue, Oct 6
Wolverines
Jacks
Sat, Oct 10
Yeti
Wolverines
Mon, Oct 12
Wolverines
Outlaws
Thu, Oct 15
Auroras
Wolverines
Sat, Oct 17
Wolverines
Drillers
Mon, Oct 19
Jacks
Wolverines
Tue, Oct 20
Guppies
Wolverines
Thu, Oct 22
Wolverines
Northmen
Sat, Oct 24
Drillers
Wolverines
Mon, Oct 26
Outlaws
Wolverines
Tue, Oct 27
Wolverines
Guppies
Thu, Oct 29
Auroras
Wolverines
Sat, Oct 31
Wolverines
Auroras
Mon, Nov 2
Wild Wings
Wolverines
Tue, Nov 3
Wolverines
Yeti
Thu, Nov 5
Wolverines
Jacks

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
5,044,847$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityKamloops
Capacity5000
Season Ticket Holders25%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity30002000
Ticket Price35$15$$$$
Attendance6975045943
Attendance PCT93.00%91.89%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
15 4628 - 92.55% 162,781$4,069,516$5000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
5,044,847$ 5,044,847$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
2,740,531$ 5,044,847$ 2,223,526$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,441,710$ 52 39,761$ 2,067,572$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,067,572$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
Eddie Schmidtke is out for 1 days because of a Bruised Right Arm Injury.

Team History

Game Center

Jazz23-23-8, 54pts34Final
Wolverines22-26-6, 50pts

Wolverines22-26-6, 50pts34Final
Swamp Puppies29-17-9, 67pts

Jacks27-23-4, 58ptsSat, Sep 19
Wolverines22-26-6, 50pts

Wolverines22-26-6, 50ptsMon, Sep 21
Drillers29-21-5, 63pts

TRANSACTIONS



 

Team Info

Wolverines
Head CoachWolf-Dieter Niemeyer
DivisionNorthwest
CityKamloops
Stadium Capacity5,000

Wolverines Affiliation

Wolverines
General ManagerAlexandre Bouchard
Head CoachJulian Trudel
StadiumOlympus Center
Capacity18,000

Team Jerseys

Wolverines Wolverines Wolverines
Home Away Alternate

Team Leaders


GOALS
Jochen Sieger
WolverinesWolverines
29
GOALS
POINTS
Jochen Sieger
WolverinesWolverines
60
POINTS
WINS
Daulton Gammond
WolverinesWolverines
14
WINS
Expanded Player Leaderboard

Team Stats


Goals For
158
2.93 GFG
Goals Against
169
3.13 GAA
Power Play Percentage
23.6%
26 GF
Penalty Kill Percentage
70.5%
38 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain

Jochen Sieger