WolvesChicago Wolves
10-2-2, 22pts · 3rd in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Alex Steeves0C/LW100.0075566873747773704466696770635615067261,200,000$/3yrs
Jakob Pelletier0LW/RW100.0064417776627167694667646869555015065251,200,000$/3yrs
Devin Shore0C/LW100.0071408366756979626158566462857215064311,500,000$/2yrs
Filip Bystedt0C100.006442706569636165446460606350501506122975,000$/1yrs
Kyle Criscuolo0C100.0052427267557272646162585563706015061341,000,000$/2yrs
Oscar Fisker Molgaard (R)0C100.0062417168626260624262606262505015060211,500,000$/4yrs
Robert Mastrosimone0LW100.005543676955666461435856586253501505925975,000$/1yrs
Kalan Lind (R)0LW100.0060456164606060604160606060505015059211,200,000$/4yrs
Lane Pederson0C/RW100.0056436764636866636260595362575115059281,000,000$/4yrs
Tyler Boucher0RW100.0065466363696361604256545959515015058231,000,000$/4yrs
Spencer Smallman0RW100.0059426961646866595656535758595215058291,000,000$/2yrs
Zach Sanford0C/LW100.0055425957636766594358555457675415057311,500,000$/2yrs
Matthew Kessel0D100.0062418173858270694062636868635315068261,200,000$/3yrs
Jack Thompson0D100.0060417573697165674063606967545015065241,000,000$/4yrs
Robert Hägg0D100.0060446666677370644060576762785515064311,000,000$/2yrs
Nolan Allan0D100.006345696970716565406257656352501506323975,000$/1yrs
Beau Akey (R)0D100.0061426969606260604060606661505015061211,200,000$/4yrs
Tyson Hinds0D100.006143706963656363405954656251501506123975,000$/1yrs
Scratches
Nico Myatovic0LW100.006242726565626060425553576050501505721975,000$/1yrs
Joseph Blandisi0C100.0053495360566664585757545557655515057311,200,000$/3yrs
Chase Stillman0RW100.005845636464636058415353525851501505623975,000$/1yrs
Blade Jenkins0C/LW/RW100.0056416556595957534152515353525015054251,000,000$/4yrs
Ludwig Persson (R)0LW100.0057406659615554524151505253505015053221,000,000$/4yrs
Milos Kelemen0C/LW/RW100.005741615462575453405151525353501505326975,000$/1yrs
Anton Johansson0D100.0064406965655956564052526558505015059221,000,000$/4yrs
Turner Ottenbreit0D100.0057505964636866604053526059565015059281,200,000$/3yrs
Vincent Sevigny0D100.0061406965656259534050506556535015059251,200,000$/1yrs
Ty Smith0D100.0053415965555856584058526258535015057261,500,000$/2yrs
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
Nico Daws098.007167726871707369727260535015064252,000,000$/3yrs
Laurent Brossoit0100.006469716768676966676765726315062333,000,000$/1yrs
Scratches
Waltteri Ignatjew0100.006863646466656764666658525015060261,000,000$/2yrs
Keith Petruzzelli0100.006759576563616258626352545015057271,200,000$/3yrs
Riley Mercer0100.006354546560596057605953505015055221,000,000$/4yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pascal Vincent7675747278571CAN544350,000$
General Manager
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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Filip BystedtWolvesWolves (CAR)C14712194802238122918.42%417.1313400041141.94%001.36001.21
2Alex SteevesWolvesWolves (CAR)C/LW147815-5403148213014.58%420.01426000200044.44%001.07110.96
3Matthew KesselWolvesWolves (CAR)D1411415-255194314132.33%1526.1503300024000.00%001.07000.92
4Jakob PelletierWolvesWolves (CAR)LW/RW145914-4002449173310.20%618.8314500031050.00%001.00110.98
5Lane PedersonWolvesWolves (CAR)C/RW1465117402241101514.63%617.2311200000075.00%000.79000.99
6Devin ShoreWolvesWolves (CAR)C/LW14549320152952217.24%620.47202000191252.83%000.64110.72
7Nolan AllanWolvesWolves (CAR)D1416794018191395.26%1320.3800000016100.00%000.50000.69
8Jack ThompsonWolvesWolves (CAR)D14167-260182116154.76%2125.8811200021010.00%000.50000.44
9Robert MastrosimoneWolvesWolves (CAR)LW145169601526101919.23%113.9100000064033.33%000.43000.65
10Tyler BoucherWolvesWolves (CAR)RW13246620181571313.33%612.1900000000040.00%000.46000.62
11Kalan LindWolvesWolves (CAR)LW1442606015379810.81%310.40101000001100.00%000.43000.48
12Kyle CriscuoloWolvesWolves (CAR)C14336500144010247.50%213.54000000120063.51%100.43000.72
13Oscar Fisker MolgaardWolvesWolves (CAR)C14336-155161861416.67%515.4200000001042.92%000.43000.33
14Robert HäggWolvesWolves (CAR)D140448202111370.00%919.6800000016000.00%000.29000.47
15Beau AkeyWolvesWolves (CAR)D14033020714540.00%514.800000003000.00%000.21000.21
16Tyson HindsWolvesWolves (CAR)D1402227573260.00%714.120000000000.00%000.14000.10
17Spencer SmallmanWolvesWolves (CAR)RW14112-14016248104.17%210.05000000000100.00%000.14000.20
18Zach SanfordWolvesWolves (CAR)C/LW13011-100126570.00%411.33000000130041.94%000.08000.09
19Anton JohanssonWolvesWolves (CAR)D100000000000.00%00.020000000000.00%000.00000.00
20Vincent SevignyWolvesWolves (CAR)D100000000000.00%00.000000000000.00%000.00000.00
Team Total or Average252518813937671531048217327810.58%11916.661114252370001659547.53%7289687100.6633
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
1Nico DawsWolvesWolves (CAR)139220.8892.727930136323167310.3333130100
2Laurent BrossoitWolvesWolves (CAR)11000.9202.00600022518000.0000113000
Team Total or Average1410220.8912.678530138348185310.33331413100
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alex Steeves C/LW261,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Anton Johansson D221,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Beau Akey D211,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ RFA
Blade Jenkins C/LW/RW251,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Chase Stillman RW23975,000$975,000$ RFA
Devin Shore C/LW311,500,000$1,500,000$ 1,500,000$ UFA
Filip Bystedt C22975,000$975,000$ RFA
Jack Thompson D241,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Jakob Pelletier LW/RW251,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Joseph Blandisi C311,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Kalan Lind LW211,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ RFA
Keith Petruzzelli G271,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Kyle Criscuolo C341,000,000$1,000,000$ 1,000,000$ UFA
Lane Pederson C/RW281,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Laurent Brossoit G333,000,000$3,000,000$ UFA
Ludwig Persson LW221,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Matthew Kessel D261,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Milos Kelemen C/LW/RW26975,000$975,000$ UFA
Nico Daws G252,000,000$2,000,000$ 2,000,000$ 2,000,000$ UFA
Nico Myatovic LW21975,000$975,000$ RFA
Nolan Allan D23975,000$975,000$ RFA
Oscar Fisker Molgaard C211,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ RFA
Riley Mercer G221,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Robert Hägg D311,000,000$1,000,000$ 1,000,000$ UFA
Robert Mastrosimone LW25975,000$975,000$ RFA
Spencer Smallman RW291,000,000$1,000,000$ 1,000,000$ UFA
Turner Ottenbreit D281,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Ty Smith D261,500,000$1,500,000$ 1,500,000$ UFA
Tyler Boucher RW231,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Tyson Hinds D23975,000$975,000$ RFA
Vincent Sevigny D251,200,000$1,200,000$ RFA
Waltteri Ignatjew G261,000,000$1,000,000$ 1,000,000$ UFA
Zach Sanford C/LW311,500,000$1,500,000$ 1,500,000$ UFA

Lines
Forward Lines


# - Alex Steeves


# - Oscar Fisker Molgaard


# - Jakob Pelletier


# - Devin Shore


# - Filip Bystedt


# - Lane Pederson


# - Robert Mastrosimone


# - Kyle Criscuolo


# - Tyler Boucher


# - Kalan Lind


# - Zach Sanford


# - Spencer Smallman

Defensive Pairings


# - Matthew Kessel


# - Jack Thompson


# - Robert Hägg


# - Nolan Allan


# - Beau Akey


# - Tyson Hinds

1st Power Play Unit


# - Alex Steeves


# - Devin Shore


# - Jakob Pelletier


# - Matthew Kessel


# - Jack Thompson

2nd Power Play Unit


# - Devin Shore


# - Filip Bystedt


# - Lane Pederson


# - Robert Hägg


# - Nolan Allan

Goalies


# - Nico Daws


# - Laurent Brossoit

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
1WolvesHeat310001101110150.83311172800920214109164158154980258664250.00%4250.00%015529352.90%10922548.44%8219242.71%30517126413828413652.9%10.1%87.5%97.6FUN
2WolvesIceHogs1100000042221.000471100920214311641581549106222100.00%10100.00%015529352.90%10922548.44%8219242.71%30517126413828413666.7%12.9%80.0%92.9FUN
3WolvesEagles1000100054121.0005914009202143716415815492251229300.00%6266.67%015529352.90%10922548.44%8219242.71%30517126413828413671.4%13.5%81.8%95.3FUN
4WolvesGriffins1010000015-400.00012300920214251641581549379722200.00%10100.00%015529352.90%10922548.44%8219242.71%30517126413828413616.7%4.0%86.5%90.5Unlucky
5WolvesCheckers 122000000104641.00010182800920214711641581549481910436116.67%000.00%015529352.90%10922548.44%8219242.71%30517126413828413669.2%14.1%91.7%105.8LUCKY
6WolvesWolf Pack440000001661081.000162743019202141451641581549773724859555.56%12283.33%015529352.90%10922548.44%8219242.71%30517126413828413673.3%11.0%92.2%103.2LUCKY
7Wolves Penguins2010010058-310.25058131092021464164158154975184437342.86%20100.00%015529352.90%10922548.44%8219242.71%30517126413828413620.0%7.8%89.3%97.1Unlucky
_Vs Division361001001192132.16711203100920214961641581549852817658112.50%10100.00%015529352.90%10922548.44%8219242.71%30517126413828413652.6%11.5%89.4%100.9FUN
_Vs Conference86100100311813130.813315384119202142801641581549200743817122940.91%14285.71%015529352.90%10922548.44%8219242.71%30517126413828413657.9%11.1%91.0%102.1FUN
_Since Last GM Reset148201210523913220.786528814011920214482164158154934911967310321134.38%26676.92%015529352.90%10922548.44%8219242.71%30517126413828413655.4%10.8%88.8%99.6FUN
Total148201210523913220.786528814011920214482164158154934911967310321134.38%26676.92%015529352.90%10922548.44%8219242.71%30517126413828413655.4%10.8%88.8%99.6FUN

Puck Time
Offensive Zone 21
Neutral Zone 20
Defensive Zone 18
Puck Time
Offensive Zone Start 293
Neutral Zone Start 192
Defensive Zone Start 225
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 346
Faceoffs Lost 364
Team Average Shots after League Average Shots after
1st Period 11.79.57
2nd Period 23.020.31
3rd Period 34.030.68
Overtime 34.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 2.11.65
3rd Period 3.62.67
Overtime 3.92.83
Even Strenght Goal 40
PP Goal 11
PK Goal 0
Empty Net Goal 1
Home Away
Win 64
Lost 11
Overtime Lost 11
PP Attempt 32
PP Goal 11
PK Attempt 26
PK Goal Against 6
Home
Shots For 34.4
Shots Against 24.9
Goals For 3.7
Goals Against 2.8
Hits 22.1
Shots Blocked 8.5
Pim 4.8
Schedule
DateMatchup Result Detail
Mon, Oct 12WolvesCAR@WolvesCALCAR4,CAL3RECAP
Wed, Oct 14WolvesFLO@WolvesCARFLO2,CAR5RECAP
Thu, Oct 15WolvesCHI@WolvesCARCHI2,CAR4RECAP
Sat, Oct 17WolvesPIT@WolvesCARPIT4,CAR3 (OT)RECAP
Mon, Oct 19WolvesNYR@WolvesCARNYR2,CAR7RECAP
Wed, Oct 21WolvesCAR@WolvesCALCAR3,CAL4 (OT)RECAP
Fri, Oct 23WolvesCAR@WolvesFLOCAR5,FLO2RECAP
Sun, Oct 25WolvesCAR@WolvesPITCAR2,PIT4RECAP
Tue, Oct 27WolvesNYR@WolvesCARNYR3,CAR5RECAP
Thu, Oct 29WolvesCAL@WolvesCARCAL3,CAR4 (SO)RECAP
Sat, Oct 31WolvesCAR@WolvesNYRCAR3,NYR1RECAP
Mon, Nov 2WolvesCOL@WolvesCARCOL4,CAR5 (OT)RECAP
Wed, Nov 4WolvesCAR@WolvesNYRCAR1,NYR0RECAP
Fri, Nov 6WolvesDET@WolvesCARDET5,CAR1RECAP
Sun, Nov 8WolvesSTL@WolvesCAR
Tue, Nov 10WolvesCAR@WolvesTAM
Thu, Nov 12WolvesCAR@WolvesMIN
Sat, Nov 14WolvesCAR@WolvesCOL
Mon, Nov 16WolvesCAR@WolvesCHI
Wed, Nov 18WolvesTAM@WolvesCAR
Fri, Nov 20WolvesFLO@WolvesCAR
Sun, Nov 22WolvesDAL@WolvesCAR
Tue, Nov 24WolvesCAR@WolvesCHI
Thu, Nov 26WolvesCAR@WolvesWPG
Sat, Nov 28WolvesCAR@WolvesPIT
Sun, Nov 29WolvesNAS@WolvesCAR
Tue, Dec 1WolvesCAR@WolvesFLO
Thu, Dec 3WolvesCAR@WolvesDET
Fri, Dec 4WolvesWPG@WolvesCAR
Sun, Dec 6WolvesPHO@WolvesCAR
Tue, Dec 8WolvesCAR@WolvesSEA
Thu, Dec 10WolvesCAR@WolvesPHO
Sat, Dec 12WolvesS J@WolvesCAR
Mon, Dec 14WolvesCAR@WolvesWAS
Tue, Dec 15WolvesPHI@WolvesCAR
Thu, Dec 17WolvesPIT@WolvesCAR
Sat, Dec 19WolvesCAR@WolvesANA
Mon, Dec 21WolvesCAR@WolvesEDM
Wed, Dec 23WolvesSEA@WolvesCAR
Fri, Dec 25WolvesCAR@WolvesBUF
Sat, Dec 26WolvesCHI@WolvesCAR
Mon, Dec 28WolvesLOS@WolvesCAR
Thu, Dec 31WolvesCHI@WolvesCAR
Fri, Jan 1WolvesCAR@WolvesWAS
Sun, Jan 3WolvesCAR@WolvesVAN
Mon, Jan 4WolvesTOR@WolvesCAR
Wed, Jan 6WolvesCAR@WolvesOTT
Fri, Jan 8WolvesOTT@WolvesCAR
Sun, Jan 10WolvesCAR@WolvesS J
Mon, Jan 11WolvesNYI@WolvesCAR
Wed, Jan 13WolvesCAR@WolvesMIN
Thu, Jan 14WolvesCAR@WolvesLOS
Sat, Jan 16WolvesANA@WolvesCAR
Mon, Jan 18WolvesCAR@WolvesTOR
Tue, Jan 19WolvesNJD@WolvesCAR
Fri, Jan 22WolvesMIN@WolvesCAR
Sun, Jan 24WolvesBUF@WolvesCAR
Tue, Jan 26WolvesCAR@WolvesNJD
Wed, Jan 27WolvesCAR@WolvesNAS
Fri, Jan 29WolvesMTL@WolvesCAR
Sun, Jan 31WolvesCAR@WolvesSTL
Mon, Feb 1WolvesCAR@WolvesBOS
Wed, Feb 3WolvesVAN@WolvesCAR
Fri, Feb 5WolvesPHI@WolvesCAR
Sun, Feb 7WolvesCAR@WolvesNJD
Tue, Feb 9WolvesEDM@WolvesCAR
Thu, Feb 11WolvesCAR@WolvesMTL
Fri, Feb 12WolvesCLB@WolvesCAR
Sat, Feb 13WolvesCAR@WolvesCLB
Tue, Feb 16WolvesBOS@WolvesCAR
Thu, Feb 18WolvesCAR@WolvesNYI
Fri, Feb 19WolvesCAR@WolvesDAL
Sun, Feb 21WolvesNYI@WolvesCAR
Wed, Feb 24WolvesBOS@WolvesCAR
Sat, Feb 27WolvesEDM@WolvesCAR
Mon, Mar 1WolvesCAR@WolvesNYI
Wed, Mar 3WolvesCAR@WolvesNYR
Thu, Mar 4WolvesVAN@WolvesCAR
Mon, Mar 8WolvesANA@WolvesCAR
Tue, Mar 9WolvesCAR@WolvesBOS
Thu, Mar 11WolvesCAR@WolvesPHI
Sun, Mar 14WolvesWAS@WolvesCAR
Trade Deadline --- Trades can’t be done after this day is simulated!
Wed, Mar 17WolvesWAS@WolvesCAR
Thu, Mar 18WolvesCAR@WolvesPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,962,500$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityChicago
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,962,500$ 3,962,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
715,038$ 0$ 656,715$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 158 26,620$ 3,593,700$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,593,700$ 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.

Game Center

Wolves10-2-2, 22pts10Final
Wolf Pack4-7-3, 11pts

Griffins10-4-0, 20pts51Final
Wolves10-2-2, 22pts

Griffins10-4-0, 20ptsSat, Nov 07
Wolves10-2-2, 22pts

Checkers 16-7-1, 13ptsThu, Oct 15
Wolves10-2-2, 22pts

IceHogs10-3-1, 21ptsFri, Oct 16
Wolves10-2-2, 22pts

TRANSACTIONS



 

Team Info

Wolves
Head CoachPascal Vincent
DivisionAtlantic Division
CityChicago
Stadium Capacity3,000

Wolves Affiliation

Wolves
General ManagerDaniel Saumier
Head CoachRick Bowness
StadiumRBC Center
Capacity20,730

Team Leaders


GOALS
Filip Bystedt
WolvesWolves
7
GOALS
POINTS
Filip Bystedt
WolvesWolves
19
POINTS
WINS
Nico Daws
WolvesWolves
9
WINS
Expanded Player Leaderboard

Team Stats


Goals For
52
3.71 GFG
Goals Against
39
2.79 GAA
Power Play Percentage
34.4%
11 GF
Penalty Kill Percentage
76.9%
6 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain