WolvesChicago Wolves
17-8-6, 40pts · 4th 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
Devin Shore0C/LW100.0077408972827685686664626967847415069301,500,000$/3yrs
Jakob Pelletier0C/LW100.0067408176687669684666636569575015065241,200,000$/4yrs
Zach Sanford0C/LW100.0062456964727573654964606063785915063301,500,000$/3yrs
Alex Steeves0C100.0061446770646665684664656067535015063251,200,000$/4yrs
Kyle Criscuolo0C100.0053427169557272646261605964685815062331,000,000$/3yrs
Joseph Blandisi0C100.0058545768617270646263606264635615062301,200,000$/4yrs
Filip Bystedt (R)0C/LW100.006341666265615961426057606050501505921975,000$/2yrs
Spencer Smallman0RW100.0058446663636967625460565660575015059281,000,000$/3yrs
Lane Pederson0C100.0059446765646763616157565761605015059271,500,000$/1yrs
Robert Mastrosimone0LW100.005542686556646360425355546052501505724975,000$/2yrs
Milos Kelemen0C/LW/RW100.006344666069636159415554565853501505725975,000$/2yrs
Chase Stillman0RW100.005746626264636160425554525950501505622975,000$/2yrs
Blade Jenkins0C/LW/RW100.0062417162656361574153525657525015056241,000,000$/1yrs
Matthew Kessel0D100.0063427972828169684064606967595015067251,200,000$/4yrs
Nolan Allan0D100.006841777175766766406360706652501506622975,000$/2yrs
Jack Thompson0D100.005740787474766669406564696955501506623975,000$/1yrs
Robert Hägg0D100.0060446666677370644060576762785515064301,000,000$/3yrs
Ty Smith0D100.0057436671616462644063566764535015062251,500,000$/3yrs
Tyson Hinds0D100.005944676563656362405855606050501506022975,000$/2yrs
Scratches
Nico Myatovic0LW100.006041716364585558415354535950501505620975,000$/2yrs
Tyler Boucher0RW100.006343665967626058415253545650501505622863,333$/1yrs
Anton Johansson (R)0D100.006241666263585656405453625750501505821975,000$/1yrs
Vincent Sevigny0D100.0059406766646159534051516157525015058241,200,000$/2yrs
Turner Ottenbreit0D100.0056535259586260544051515855535015056271,200,000$/4yrs
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
Laurent Brossoit0100.007473727275757476747365857515068323,000,000$/2yrs
Nico Daws0100.007468717372717370727360605115065242,000,000$/4yrs
Scratches
Waltteri Ignatjew0100.006863646466656764666658525015060251,000,000$/3yrs
Keith Petruzzelli0100.006759576563616258626352545015057261,200,000$/4yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jack Capuano7873737563641USA581500,000$
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
1Devin ShoreWolvesWolves (CAR)C/LW31252146152069170439114.71%1622.39448000603350.85%111.48071.78
2Jakob PelletierWolvesWolves (CAR)C/LW31142135190069133338210.53%1421.35145000633046.31%001.13171.44
3Kyle CriscuoloWolvesWolves (CAR)C25713206160467124459.86%1118.62011000223157.04%000.80000.86
4Alex SteevesWolvesWolves (CAR)C31911201222105481326511.11%717.3720200062047.93%000.65130.75
5Nolan AllanWolvesWolves (CAR)D31018181780425827290.00%3527.1202200064000.00%000.58000.76
6Joseph BlandisiWolvesWolves (CAR)C311081892004170225014.29%514.7800000041061.30%000.58000.65
7Matthew KesselWolvesWolves (CAR)D31115161660456628171.52%3226.4701100063000.00%000.52000.73
8Zach SanfordWolvesWolves (CAR)C/LW311041412602570185314.29%814.40000000351258.33%000.45160.66
9Spencer SmallmanWolvesWolves (CAR)RW256612161204739132115.38%118.3220200000128.57%000.48000.64
10Lane PedersonWolvesWolves (CAR)C3148124603334122911.76%39.8900000000051.24%000.39000.40
11Milos KelemenWolvesWolves (CAR)C/LW/RW315611680543382115.15%917.1601100001133.33%000.35000.40
12Filip BystedtWolvesWolves (CAR)C/LW31448-2603533152012.12%010.71000000170041.38%000.26000.24
13Jack ThompsonWolvesWolves (CAR)D3117841010225813201.72%1619.9500000041000.00%000.26000.35
14Robert HäggWolvesWolves (CAR)D251565241038161096.25%1819.9800000032010.00%000.24000.16
15Tyson HindsWolvesWolves (CAR)D31044154017151160.00%1014.000000004000.00%000.13000.30
16Chase StillmanWolvesWolves (CAR)RW1821344016182811.11%310.2900000001028.57%000.17000.26
17Ty SmithWolvesWolves (CAR)D31033136011169100.00%1715.1000000014000.00%000.10000.25
18Blade JenkinsWolvesWolves (CAR)C/LW/RW23112960251411157.14%614.1800000030040.00%000.09000.24
19Robert MastrosimoneWolvesWolves (CAR)LW6011-220710140.00%09.81000000200100.00%000.17000.09
20Turner OttenbreitWolvesWolves (CAR)D601102012000.00%612.490000000000.00%000.17000.10
21Tyler BoucherWolvesWolves (CAR)RW14000-220141240.00%16.22000000000100.00%000.0000-0.04
22Anton JohanssonWolvesWolves (CAR)D1300000001000.00%00.380000000000.00%000.00000.01
Team Total or Average5581001582581761723071110093345999.91%21816.699132266400043715951.51%1625229176110.55323
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
1Laurent BrossoitWolvesWolves (CAR)2514460.9042.1714910254565281400.62516250110
2Nico DawsWolvesWolves (CAR)73400.9092.74373011718793000.8577625100
3Waltteri IgnatjewWolvesWolves (CAR)10000.9054.00300022112000.000003000
Team Total or Average3317860.9062.3118950373773386400.696233128210
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 C251,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Anton Johansson D21975,000$975,000$ RFA
Blade Jenkins C/LW/RW241,000,000$1,000,000$ RFA
Chase Stillman RW22975,000$975,000$ 975,000$ RFA
Devin Shore C/LW301,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Filip Bystedt C/LW21975,000$975,000$ 975,000$ RFA
Jack Thompson D23975,000$975,000$ RFA
Jakob Pelletier C/LW241,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Joseph Blandisi C301,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Keith Petruzzelli G261,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Kyle Criscuolo C331,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Lane Pederson C271,500,000$1,500,000$ UFA
Laurent Brossoit G323,000,000$3,000,000$ 3,000,000$ UFA
Matthew Kessel D251,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Milos Kelemen C/LW/RW25975,000$975,000$ 975,000$ UFA
Nico Daws G242,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Nico Myatovic LW20975,000$975,000$ 975,000$ RFA
Nolan Allan D22975,000$975,000$ 975,000$ RFA
Robert Hägg D301,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Robert Mastrosimone LW24975,000$975,000$ 975,000$ RFA
Spencer Smallman RW281,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Turner Ottenbreit D271,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Ty Smith D251,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Tyler Boucher RW22863,333$975,000$ RFA
Tyson Hinds D22975,000$975,000$ 975,000$ RFA
Vincent Sevigny D241,200,000$1,200,000$ 1,200,000$ RFA
Waltteri Ignatjew G251,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Zach Sanford C/LW301,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA

Lines
Forward Lines


# - Jakob Pelletier


# - Alex Steeves


# - Spencer Smallman


# - Devin Shore


# - Kyle Criscuolo


# - Milos Kelemen


# - Zach Sanford


# - Joseph Blandisi


# - Blade Jenkins


# - Filip Bystedt


# - Lane Pederson


# - Chase Stillman

Defensive Pairings


# - Matthew Kessel


# - Nolan Allan


# - Jack Thompson


# - Robert Hägg


# - Ty Smith


# - Tyson Hinds

1st Power Play Unit


# - Devin Shore


# - Jakob Pelletier


# - Spencer Smallman


# - Matthew Kessel


# - Nolan Allan

2nd Power Play Unit


# - Jakob Pelletier


# - Alex Steeves


# - Milos Kelemen


# - Jack Thompson


# - Robert Hägg

Goalies


# - Laurent Brossoit


# - Nico Daws

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
1WolvesGulls1000010012-110.5001230015404262728637833236111022100.00%000.00%035066852.40%29154553.39%19638351.17%66435258631365031733.3%3.7%81.8%85.5Unlucky
2WolvesBruins3010001189-130.5008142200154042696286378332361202718567114.29%9277.78%035066852.40%29154553.39%19638351.17%66435258631365031750.0%8.3%92.5%100.8DULL
3WolvesHeat1100000061521.0006101600154042623286378332361031328100.00%40100.00%035066852.40%29154553.39%19638351.17%66435258631365031785.7%26.1%90.0%116.1FUN
4WolvesMonsters1000000123-110.50023500154042642286378332363112422200.00%20100.00%035066852.40%29154553.39%19638351.17%66435258631365031740.0%4.8%90.3%95.1Unlucky
5WolvesGriffins1100000042221.000481200154042646286378332363711019000.00%000.00%035066852.40%29154553.39%19638351.17%66435258631365031766.7%8.7%94.6%103.3DULL
6WolvesCheckers 12010100055020.50056110015404266628637833236491912421000.00%6183.33%035066852.40%29154553.39%19638351.17%66435258631365031755.6%7.6%89.8%97.4Unlucky
7WolvesReign1010000056-100.000591400154042632286378332362911614400.00%3166.67%035066852.40%29154553.39%19638351.17%66435258631365031750.0%15.6%79.3%94.9FUN
8WolvesWild1100000041321.00046100015404263128637833236162834000.00%4175.00%035066852.40%29154553.39%19638351.17%664352586313650317100.0%12.9%93.8%106.7LUCKY
9WolvesAdmirals1000000123-110.50022400154042625286378332361436244125.00%3166.67%035066852.40%29154553.39%19638351.17%66435258631365031733.3%8.0%78.6%86.6Unlucky
10WolvesComets2200000060641.000611170215404267128637833236153256300.00%10100.00%035066852.40%29154553.39%19638351.17%664352586313650317100.0%8.5%100.0%108.5DULL
11WolvesIslanders531010002191280.8002132530015404261862863783323694221714411436.36%6183.33%035066852.40%29154553.39%19638351.17%66435258631365031768.0%11.3%90.4%101.7FUN
12WolvesWolf Pack40300001718-1110.12571017001540426115286378332361344024551119.09%12466.67%035066852.40%29154553.39%19638351.17%66435258631365031730.0%6.1%86.6%92.7Unlucky
13WolvesPhantoms2110000054120.500571200154042666286378332363171059800.00%5260.00%035066852.40%29154553.39%19638351.17%66435258631365031771.4%7.6%87.1%94.7Unlucky
14Wolves Penguins22000000157841.0001521360015404267728637833236662130435120.00%5260.00%035066852.40%29154553.39%19638351.17%66435258631365031773.7%19.5%89.4%108.9FUN
15WolvesBarracuda1000100021121.000235001540426192863783323650621500.00%3166.67%035066852.40%29154553.39%19638351.17%664352586313650317100.0%10.5%80.0%90.5FUN
16WolvesThunderbirds1000001043121.000461000154042628286378332363612623200.00%3166.67%035066852.40%29154553.39%19638351.17%66435258631365031766.7%14.3%91.7%106.0LUCKY
17WolvesMarlies1000000134-110.5003580015404262628637833236451761811100.00%3166.67%035066852.40%29154553.39%19638351.17%66435258631365031740.0%11.5%91.1%102.6Unlucky
18WolvesHershey Bears1100000020221.0002350115404263328637833236307431200.00%20100.00%035066852.40%29154553.39%19638351.17%664352586313650317100.0%6.1%100.0%106.1DULL
_Vs Division7770201220200221.57120335300154042623428637833236251743613518211.11%18477.78%035066852.40%29154553.39%19638351.17%66435258631365031752.9%8.5%92.0%100.6DULL
_Vs Conference239702014745915280.609741121860315404267782863783323661517512752660813.33%511374.51%035066852.40%29154553.39%19638351.17%66435258631365031758.9%9.5%90.4%99.9FUN
_Since Last GM Reset31128031251027824400.64510215826003154042610092863783323677321817271177911.69%711874.65%035066852.40%29154553.39%19638351.17%66435258631365031760.8%10.1%89.9%100.0FUN
Total31128031251027824400.64510215826003154042610092863783323677321817271177911.69%711874.65%035066852.40%29154553.39%19638351.17%66435258631365031760.8%10.1%89.9%100.0FUN

Puck Time
Offensive Zone 21
Neutral Zone 20
Defensive Zone 18
Puck Time
Offensive Zone Start 668
Neutral Zone Start 383
Defensive Zone Start 545
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 837
Faceoffs Lost 759
Team Average Shots after League Average Shots after
1st Period 9.29.57
2nd Period 21.420.31
3rd Period 32.130.68
Overtime 33.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.50.64
2nd Period 1.81.65
3rd Period 3.12.67
Overtime 3.32.83
Even Strenght Goal 93
PP Goal 9
PK Goal 0
Empty Net Goal 0
Home Away
Win 98
Lost 26
Overtime Lost 42
PP Attempt 77
PP Goal 9
PK Attempt 71
PK Goal Against 18
Home
Shots For 32.5
Shots Against 24.9
Goals For 3.3
Goals Against 2.5
Hits 22.9
Shots Blocked 7.0
Pim 5.5
Schedule
DateMatchup Result Detail
Wed, Oct 8WolvesCAR@WolvesNYRCAR3,NYR5RECAP
Fri, Oct 10WolvesBOS@WolvesCARBOS5,CAR4 (SO)RECAP
Sun, Oct 12WolvesNYI@WolvesCARNYI1,CAR6RECAP
Tue, Oct 14WolvesCAR@WolvesNYICAR1,NYI2RECAP
Thu, Oct 16WolvesDET@WolvesCARDET2,CAR4RECAP
Sat, Oct 18WolvesCAR@WolvesPHICAR2,PHI3RECAP
Tue, Oct 21WolvesCAR@WolvesWASCAR2,WAS0RECAP
Thu, Oct 23WolvesCAR@WolvesBOSCAR4,BOS3 (SO)RECAP
Fri, Oct 24WolvesCAR@WolvesNYRCAR1,NYR2 (SO)RECAP
Sat, Oct 25WolvesCLB@WolvesCARCLB3,CAR2 (SO)RECAP
Mon, Oct 27WolvesPHI@WolvesCARPHI1,CAR3RECAP
Wed, Oct 29WolvesCAR@WolvesNYICAR4,NYI2RECAP
Sat, Nov 1WolvesNYI@WolvesCARNYI3,CAR4 (OT)RECAP
Sun, Nov 2WolvesCAR@WolvesNJDCAR2,NJD0RECAP
Tue, Nov 4WolvesFLO@WolvesCARFLO3,CAR4 (OT)RECAP
Thu, Nov 6WolvesCAR@WolvesPITCAR6,PIT3RECAP
Sun, Nov 9WolvesNYR@WolvesCARNYR5,CAR2RECAP
Tue, Nov 11WolvesPIT@WolvesCARPIT4,CAR9RECAP
Wed, Nov 12WolvesCAR@WolvesNYRCAR1,NYR6RECAP
Fri, Nov 14WolvesCAR@WolvesSTLCAR4,STL3 (SO)RECAP
Sat, Nov 15WolvesFLO@WolvesCARFLO2,CAR1RECAP
Tue, Nov 18WolvesCAR@WolvesCALCAR6,CAL1RECAP
Wed, Nov 19WolvesCAR@WolvesTORCAR3,TOR4 (SO)RECAP
Fri, Nov 21WolvesNYI@WolvesCARNYI1,CAR6RECAP
Sun, Nov 23WolvesNAS@WolvesCARNAS3,CAR2 (SO)RECAP
Wed, Nov 26WolvesCAR@WolvesLOSCAR5,LOS6RECAP
Fri, Nov 28WolvesS J@WolvesCARS J1,CAR2 (OT)RECAP
Sat, Nov 29WolvesCAR@WolvesMINCAR4,MIN1RECAP
Tue, Dec 2WolvesNJD@WolvesCARNJD0,CAR4RECAP
Thu, Dec 4WolvesCAR@WolvesBOSCAR0,BOS1RECAP
Sat, Dec 6WolvesANA@WolvesCARANA2,CAR1 (OT)RECAP
Mon, Dec 8WolvesCAR@WolvesBUF
Wed, Dec 10WolvesOTT@WolvesCAR
Fri, Dec 12WolvesCAR@WolvesVAN
Sun, Dec 14WolvesCAR@WolvesDET
Mon, Dec 15WolvesCHI@WolvesCAR
Thu, Dec 18WolvesPIT@WolvesCAR
Sat, Dec 20WolvesCAR@WolvesCLB
Mon, Dec 22WolvesDET@WolvesCAR
Thu, Dec 25WolvesBOS@WolvesCAR
Sat, Dec 27WolvesCAR@WolvesDAL
Mon, Dec 29WolvesCAR@WolvesPIT
Wed, Dec 31WolvesCAR@WolvesOTT
Thu, Jan 1WolvesNYR@WolvesCAR
Mon, Jan 5WolvesMIN@WolvesCAR
Wed, Jan 7WolvesCAR@WolvesPHI
Fri, Jan 9WolvesCOL@WolvesCAR
Sun, Jan 11WolvesCAR@WolvesCHI
Mon, Jan 12WolvesWPG@WolvesCAR
Wed, Jan 14WolvesCAR@WolvesSEA
Fri, Jan 16WolvesTOR@WolvesCAR
Sun, Jan 18WolvesCAR@WolvesTAM
Tue, Jan 20WolvesMTL@WolvesCAR
Thu, Jan 22WolvesCAR@WolvesCHI
Sat, Jan 24WolvesVAN@WolvesCAR
Mon, Jan 26WolvesCAR@WolvesPHO
Wed, Jan 28WolvesCAR@WolvesNAS
Thu, Jan 29WolvesCAL@WolvesCAR
Sat, Jan 31WolvesCAR@WolvesEDM
Sun, Feb 1WolvesTAM@WolvesCAR
Thu, Feb 5WolvesCAR@WolvesNYI
Fri, Feb 6WolvesCLB@WolvesCAR
Mon, Feb 9WolvesCHI@WolvesCAR
Wed, Feb 11WolvesCAR@WolvesMTL
Thu, Feb 12WolvesCAR@WolvesNJD
Sat, Feb 14WolvesPHI@WolvesCAR
Mon, Feb 16WolvesWAS@WolvesCAR
Wed, Feb 18WolvesCAR@WolvesS J
Fri, Feb 20WolvesCAR@WolvesFLO
Sat, Feb 21WolvesEDM@WolvesCAR
Tue, Feb 24WolvesCAR@WolvesANA
Wed, Feb 25WolvesWAS@WolvesCAR
Sat, Feb 28WolvesCAR@WolvesWAS
Sun, Mar 1WolvesLOS@WolvesCAR
Wed, Mar 4WolvesSTL@WolvesCAR
Thu, Mar 5WolvesCAR@WolvesFLO
Sun, Mar 8WolvesCAR@WolvesCOL
Mon, Mar 9WolvesSEA@WolvesCAR
Trade Deadline --- Trades can’t be done after this day is simulated!
Wed, Mar 11WolvesCAR@WolvesWPG
Sat, Mar 14WolvesBUF@WolvesCAR
Wed, Mar 18WolvesPHO@WolvesCAR
Tue, Mar 24WolvesDAL@WolvesCAR

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,415,000$ 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
26 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,415,000$ 3,415,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,379,989$ 0$ 1,199,491$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 131 23,166$ 2,501,928$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,501,928$ 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

Wolves17-8-6, 40pts01Final
Bruins15-11-4, 34pts

Gulls13-14-5, 31pts21Final
Wolves17-8-6, 40pts

Gulls13-14-5, 31ptsSun, Dec 07
Wolves17-8-6, 40pts

Bruins15-11-4, 34ptsSat, Oct 11
Wolves17-8-6, 40pts

Islanders10-17-4, 24ptsMon, Oct 13
Wolves17-8-6, 40pts

TRANSACTIONS



 

Team Info

Wolves
Head CoachJack Capuano
DivisionAtlantic Division
CityChicago
Stadium Capacity3,000

Wolves Affiliation

Wolves
General ManagerDaniel Saumier
Head CoachBarry Trotz
StadiumRBC Center
Capacity20,730

Team Leaders


GOALS
Devin Shore
WolvesWolves
25
GOALS
POINTS
Devin Shore
WolvesWolves
46
POINTS
WINS
Laurent Brossoit
WolvesWolves
14
WINS
Expanded Player Leaderboard

Team Stats


Goals For
102
3.29 GFG
Goals Against
78
2.52 GAA
Power Play Percentage
11.7%
9 GF
Penalty Kill Percentage
74.6%
18 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain