KamloopsWolverines
GP W L OT Pts
28 10 13 5 25
GM: Alexandre Bouchard
Season 5 GM of the year
League Rank:21st Arena: Kamloops Arena
Conference: Western Conference Conference Rank:11st Capacity:5,000
Division: Northwest Division Rank:4th Total Player Salaries:3,284,847$
Captain: Jochen Sieger Last 10: 5-4-0
Coach: Wolf-Dieter Niemeyer Home: 6-7-2
All-Time Record: 197 W - 164 L - 39 OTL Away: 1-6-3
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
Riordan Winstone9C99.0087539897637588679645778252364655076351,950,000$/1yrs
R.J. Upton79LW98.0090619161839461747987645994683605076351,100,000$/1yrs
Valery Kolesnikov46RW99.0098456476688377857347779292756655075331,800,000$/1yrs
Erwin Haberer (R) (A)80C97.0065668678777670777271668677647478507519900,000$/2yrs
Marcel Blazik (R)22LW100.0074618773677876936064925667746368507420900,000$/3yrs
Caspar Reichelt (R)71RW100.0086677268777385755870846567606984507419900,000$/3yrs
Jesse-Petteri Ivari (R)10RW100.0067687878777568536970849081646865507418900,000$/3yrs
Pavlo Benard81C100.004167806268895184658758923988540507338965,000$/1yrs
Ernest Champlin82LW100.0064428257938051837386626455666610507334700,000$/1yrs
Fyodor Romantsev28LW100.0056388864497883908658827979669805073361,500,000$/1yrs
Stephan Audet0RW100.006352966492926961895633837196712507037790,000$/1yrs
Riley Antisin (R)85C100.00274283665761668259928730763270495067251,427,924$/1yrs
Pasi-Pekka Hoikkala (R)60D100.00696567698585766781748479748360605076181,000,000$/3yrs
Grayson Jambrosich47D100.0074667392906667672569507634646425074351,350,000$/1yrs
Ronald Duco8D100.004164896649918893257173709580844507336965,000$/1yrs
Daryl Goyer (R)73D100.0034529067588597822539599628935355506924775,000$/2yrs
Peyton Fennell0D100.0076358961676964882569347597707812506834715,000$/1yrs
Damien Mosienko (R)57D100.00723379852762676925674097869450655065231,999,999$/1yrs
Scratches
Jochen Sieger (C)11C100.00426781748491648986845980585697415077271,250,000$/4yrs
Jayce Petrie (A)83RW100.0070699471928272928084387386506005077371,400,000$/1yrs
Sarno Huopio25LW100.009268668562648598707171449067568507333900,000$/2yrs
Sigvard Ukkola64RW100.0093488686797951909080434164595917507232950,000$/1yrs
Valentin Akerblom (R)72C100.0081476082416955649857518795685669506523820,549$/1yrs
Wilhelm Billberg (R)40LW100.0033347389467770726263565463355362506423800,000$/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 Carlyle3596.0071576492976881689471552846535076241,995,000$/1yrs
Scratches
Blaine Trevisani1100.0068697677697487606478894254655072221,300,000$/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)C251919383262033107326417.76%1321.580.00459101362150.16%021.52021.35
2Marcel BlazikWolverinesWolverines (TRI)LW2891423558203412329857.32%317.290.0014500000045.00%000.82000.70
3Erwin HabererWolverinesWolverines (TRI)C2812618-878404785274114.12%2419.550.00415000462144.19%000.64010.17
4Jayce PetrieWolverinesWolverines (TRI)RW2561117217154055253110.91%1414.990.00033000180075.00%000.68000.64
5R.J. UptonWolverinesWolverines (TRI)LW2861016412105544172313.64%716.390.00336000283047.37%000.57000.55
6Caspar ReicheltWolverinesWolverines (TRI)RW28581343210706015268.33%1115.890.0013400000133.33%000.46000.42
7Sarno HuopioWolverinesWolverines (TRI)LW2521012-93420465634403.57%713.590.0001100070033.33%000.48000.24
8Jesse-Petteri IvariWolverinesWolverines (TRI)RW283912-112210513414288.82%719.110.00145000280050.00%000.43110.17
9Fyodor RomantsevWolverinesWolverines (TRI)LW286391003339172215.38%211.600.0000000001175.00%000.32110.39
10Grayson JambrosichWolverinesWolverines (TRI)D28189-36335493718182.70%3722.880.0000000023010.00%000.3200-0.03
11Pasi-Pekka HoikkalaWolverinesWolverines (TRI)D28178-106735644122212.44%3225.840.0011200045010.00%000.2900-0.14
12Pavlo BenardWolverinesWolverines (TRI)C2834713925194317296.98%813.560.00000000310044.90%000.25000.08
13Riordan WinstoneWolverinesWolverines (TRI)C9325340102631311.54%314.830.00101000170049.47%000.56010.72
14Damien MosienkoWolverinesWolverines (TRI)D2805561202524690.00%1415.090.0000000029000.00%000.18000.21
15Riley AntisinWolverinesWolverines (TRI)C15134-4003187145.56%28.460.0000000001035.19%000.27000.21
16Daryl GoyerWolverinesWolverines (TRI)D2804405513341380.00%3421.640.0001100056000.00%000.14000.21
17Sigvard UkkolaWolverinesWolverines (TRI)RW18123-27525243144.17%110.270.0000000000025.00%000.17000.16
18Ronald DucoWolverinesWolverines (TRI)D150220201128970.00%1422.880.0001100027000.00%000.13000.25
19Valery KolesnikovWolverinesWolverines (TRI)RW101122203140117.14%16.960.0001100040054.55%000.20000.31
20Trevor MarcouxWolverinesWolverines (TRI)D1802201210115480.00%514.510.0000000028000.00%000.11000.03
21Peyton FennellWolverinesWolverines (TRI)D1001150032010.00%27.950.000000005000.00%000.10000.27
22Stephan AudetWolverinesWolverines (TRI)RW3000-10021020.00%07.180.000000000000.00%000.0000-0.07
23Ernest ChamplinWolverinesWolverines (TRI)LW10000-10052120.00%02.740.00000000300100.00%000.00000.00
Team Total or Average49179131210-134922606429123135178.66%24116.431628444951014399646.79%1731165188020.5226
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 CarlyleWolverinesWolverines (TRI)125610.9182.626650029355164100.00001018001
2Daulton GammondWolverinesWolverines (TRI)185740.8933.4510260159553231300.57171810110
Team Total or Average30101350.9033.1216910188908395400.57172828111
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$1,350,000$
Jayce Petrie RW371,400,000$1,400,000$
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$800,000$

Lines

5v5 Lines

79
GP: 28 | G: 6 | A: 10 | PTS: 16
GP: 9 | G: 3 | A: 2 | PTS: 5
GP: 10 | G: 1 | A: 1 | PTS: 2
22
GP: 28 | G: 9 | A: 14 | PTS: 23
80
GP: 28 | G: 12 | A: 6 | PTS: 18
10
GP: 28 | G: 3 | A: 9 | PTS: 12
GP: 28 | G: 6 | A: 3 | PTS: 9
81
GP: 28 | G: 3 | A: 4 | PTS: 7
GP: 28 | G: 5 | A: 8 | PTS: 13
GP: 10 | G: 0 | A: 0 | PTS: 0
85
GP: 15 | G: 1 | A: 3 | PTS: 4
0
GP: 3 | G: 0 | A: 0 | PTS: 0
GP: 28 | G: 1 | A: 7 | PTS: 8
GP: 28 | G: 1 | A: 8 | PTS: 9
8
GP: 15 | G: 0 | A: 2 | PTS: 2
73
GP: 28 | G: 0 | A: 4 | PTS: 4
GP: 10 | G: 0 | A: 1 | PTS: 1
GP: 28 | G: 0 | A: 5 | PTS: 5

Power Play Lines

79
GP: 28 | G: 6 | A: 10 | PTS: 16
GP: 9 | G: 3 | A: 2 | PTS: 5
GP: 10 | G: 1 | A: 1 | PTS: 2
GP: 28 | G: 1 | A: 7 | PTS: 8
GP: 28 | G: 1 | A: 8 | PTS: 9
22
GP: 28 | G: 9 | A: 14 | PTS: 23
80
GP: 28 | G: 12 | A: 6 | PTS: 18
10
GP: 28 | G: 3 | A: 9 | PTS: 12
8
GP: 15 | G: 0 | A: 2 | PTS: 2
73
GP: 28 | G: 0 | A: 4 | PTS: 4

Goalies

35
W: 5 | L: 6 | 0.918 SV%
75
W: 5 | L: 7 | 0.893 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
1WolverinesJacks2000010157-220.50057120019322847728933429328693525477228.57%5260.00%031462250.48%28265742.92%21442750.12%60835659824748924237.5%6.5%89.9%96.3Unlucky
2WolverinesKings1010000023-100.000246001932284292893342932842141419200.00%2150.00%031462250.48%28265742.92%21442750.12%60835659824748924250.0%6.9%92.9%99.8DULL
3WolverinesComets1010000014-300.000123001932284322893342932838111625100.00%3166.67%031462250.48%28265742.92%21442750.12%60835659824748924225.0%3.1%89.5%92.6Unlucky
4WolverinesBulldogs1010000023-100.00024600193228443289334293283771119100.00%3166.67%031462250.48%28265742.92%21442750.12%60835659824748924250.0%4.7%91.9%96.5DULL
5WolverinesRock20200000510-500.0005914001932284652893342932857223845200.00%4250.00%131462250.48%28265742.92%21442750.12%60835659824748924238.5%7.7%82.5%90.1Unlucky
6WolverinesAuroras312000001010020.33310152500193228483289334293288029546015320.00%7271.43%031462250.48%28265742.92%21442750.12%60835659824748924246.7%12.0%87.5%99.5FUN
7WolverinesHornets2100010054130.750571200193228453289334293284216858000.00%4175.00%031462250.48%28265742.92%21442750.12%60835659824748924262.5%9.4%90.5%99.9FUN
8WolverinesWolfpack2110000096320.500915240119322845828933429328661793506116.67%9188.89%031462250.48%28265742.92%21442750.12%60835659824748924261.5%15.5%90.9%106.4FUN
9WolverinesVipers2010010068-210.250681400193228474289334293287187542100.00%5260.00%031462250.48%28265742.92%21442750.12%60835659824748924250.0%8.1%88.7%96.8Unlucky
10WolverinesDevils1000001065121.00061016001932284372893342932837915326466.67%5260.00%031462250.48%28265742.92%21442750.12%60835659824748924240.0%16.2%86.5%102.7FUN
11WolverinesGuppies1100000042221.000471100193228439289334293283874135240.00%2150.00%031462250.48%28265742.92%21442750.12%60835659824748924266.7%10.3%94.7%105.0LUCKY
12WolverinesStingers1000100021121.00024600193228439289334293282151226400.00%10100.00%031462250.48%28265742.92%21442750.12%60835659824748924266.7%5.1%95.2%100.4DULL
13WolverinesHydra2010010036-310.2503580019322846628933429328631921455240.00%8187.50%031462250.48%28265742.92%21442750.12%60835659824748924216.7%4.5%90.5%95.0Unlucky
14WolverinesPhantoms2110000067-120.500611170019322846628933429328772268505240.00%4250.00%031462250.48%28265742.92%21442750.12%60835659824748924244.4%9.1%90.9%100.0FUN
15WolverinesSpartans1010000034-100.00036900193228433289334293283551232200.00%10100.00%031462250.48%28265742.92%21442750.12%60835659824748924242.9%9.1%88.6%97.7FUN
16WolverinesNorthmen1100000041321.000481200193228435289334293284211173111100.00%10100.00%031462250.48%28265742.92%21442750.12%60835659824748924275.0%11.4%97.6%109.0LUCKY
17WolverinesYeti2110000055020.5005813001932284732893342932861181841200.00%4175.00%031462250.48%28265742.92%21442750.12%60835659824748924255.6%6.8%91.8%98.7DULL
18WolverinesDrillers1000100043121.00046100019322843628933429328322421200.00%20100.00%031462250.48%28265742.92%21442750.12%60835659824748924257.1%11.1%90.6%101.7FUN
_Vs Division823011012331-880.500233659001932284251289334293282507318116620315.00%18761.11%131462250.48%28265742.92%21442750.12%60835659824748924245.5%9.2%87.6%96.8FUN
_Vs Conference19670131162602200.526629816001193228462528933429328615177378433511427.45%491569.39%031462250.48%28265742.92%21442750.12%60835659824748924251.6%9.9%90.2%100.2FUN
_Since Last GM Reset28713024118289-7250.4468213621801193228493828933429328908257505656671725.37%702071.43%131462250.48%28265742.92%21442750.12%60835659824748924248.5%8.7%90.2%98.9Unlucky
Total28713024118289-7250.4468213621801193228493828933429328908257505656671725.37%702071.43%131462250.48%28265742.92%21442750.12%60835659824748924248.5%8.7%90.2%98.9Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 622
Neutral Zone Start 427
Defensive Zone Start 657
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 810
Faceoffs Lost 896
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 22.320.31
3rd Period 32.730.68
Overtime 33.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.70.64
2nd Period 1.81.65
3rd Period 2.82.67
Overtime 3.02.83
Even Strenght Goal 64
PP Goal 17
PK Goal 1
Empty Net Goal 0
Home Away
Win 73
Lost 76
Overtime Lost 23
PP Attempt 67
PP Goal 17
PK Attempt 70
PK Goal Against 20
Home
Shots For 33.5
Shots Against 32.4
Goals For 2.9
Goals Against 3.2
Hits 23.4
Shots Blocked 9.2
Pim 18.0
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
Hornets
Tue, Aug 4
Wolverines
Devils
Thu, Aug 6
Crusaders
Wolverines
Sat, Aug 8
Wolverines
Drillers
Mon, Aug 10
Hornets
Wolverines
Wed, Aug 12
Stingers
Wolverines
Thu, Aug 13
Wolverines
Spartans
Sat, Aug 15
Vipers
Wolverines
Mon, Aug 17
Wolverines
Rampage
Wed, Aug 19
Wolverines
Jacks
Fri, Aug 21
Yeti
Wolverines
Sat, Aug 22
Drillers
Wolverines
Mon, Aug 24
Wolverines
Crusaders
Tue, Aug 25
Swamp Puppies
Wolverines
Thu, Aug 27
Wolverines
Jazz
Sat, Aug 29
Devils
Wolverines
Mon, Aug 31
Wolverines
Phantoms
Wed, Sep 2
Wolverines
Schooners
Thu, Sep 3
Wolverines
Yeti
Sat, Sep 5
Wolverines
Auroras
Mon, Sep 7
Wolverines
Wild Wings
Thu, Sep 10
Wolverines
Bulldogs
Sat, Sep 12
Wolverines
Kings
Mon, Sep 14
Wolverines
Comets
Wed, Sep 16
Jazz
Wolverines
Thu, Sep 17
Wolverines
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
3,284,847$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityKamloops
Capacity5000
Season Ticket Holders25%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity30002000
Ticket Price35$15$$$$
Attendance4448729073
Attendance PCT92.68%90.85%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
24 4598 - 91.95% 161,943$2,591,083$5000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,284,847$ 3,284,847$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,321,707$ 3,284,847$ 1,055,041$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,886,624$ 98 27,788$ 2,723,224$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,723,224$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Team History

Game Center

Yeti12-13-3, 27pts34Final
Wolverines10-13-5, 25pts

Wolverines10-13-5, 25pts42Final
Guppies9-16-3, 21pts

Wolverines10-13-5, 25ptsMon, Aug 03
Hornets14-12-2, 30pts

Wolverines10-13-5, 25ptsTue, Aug 04
Devils21-5-2, 44pts

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
19
GOALS
POINTS
Jochen Sieger
WolverinesWolverines
38
POINTS
WINS
Daulton Gammond
WolverinesWolverines
5
WINS
Expanded Player Leaderboard

Team Stats


Goals For
82
2.93 GFG
Goals Against
89
3.18 GAA
Power Play Percentage
25.4%
17 GF
Penalty Kill Percentage
71.4%
20 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain

Jochen Sieger

Jayce Petrie