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Chicago Wolves
GP: 32 | W: 16 | L: 16 | OTL: 0 | P: 32
GF: 102 | GA: 102 | PP%: 26.67% | PK%: 78.13%
GM : Xavier Berard | Morale : 43 | Team Overall : 63
Next Games #532 vs Admirals

Game Center
Chicago Wolves
16-16-0, 32pts
4
3 Phantoms
14-16-1, 29pts
Team Stats
W3StreakL5
7-10-0Home Record8-10-1
9-6-0Home Record6-6-0
6-4-0Last 10 Games3-7-0
3.19Goals Per Game3.45
3.19Goals Against Per Game3.45
26.67%Power Play Percentage22.95%
78.13%Penalty Kill Percentage73.68%
Phantoms
14-16-1, 29pts
1
7 Chicago Wolves
16-16-0, 32pts
Team Stats
L5StreakW3
8-10-1Home Record7-10-0
6-6-0Home Record9-6-0
3-7-0Last 10 Games6-4-0
3.45Goals Per Game3.19
3.45Goals Against Per Game3.19
22.95%Power Play Percentage26.67%
73.68%Penalty Kill Percentage78.13%
Chicago Wolves
16-16-0, 32pts
2025-12-17
Admirals
18-10-3, 39pts
Team Stats
W3StreakL1
7-10-0Home Record10-6-2
9-6-0Away Record8-4-1
6-4-0Last 10 Games8-2-0
3.19Goals Per Game3.35
3.19Goals Against Per Game3.35
26.67%Power Play Percentage18.49%
78.13%Penalty Kill Percentage80.70%
Chicago Wolves
16-16-0, 32pts
2025-12-19
Charlotte Checkers
9-19-3, 21pts
Team Stats
W3StreakW1
7-10-0Home Record6-10-2
9-6-0Away Record3-9-1
6-4-0Last 10 Games2-6-2
3.19Goals Per Game2.94
3.19Goals Against Per Game2.94
26.67%Power Play Percentage22.43%
78.13%Penalty Kill Percentage81.06%
Chicago Wolves
16-16-0, 32pts
2025-12-20
Syracruse Crunch
16-14-2, 34pts
Team Stats
W3StreakW2
7-10-0Home Record7-6-2
9-6-0Away Record9-8-0
6-4-0Last 10 Games5-4-1
3.19Goals Per Game3.38
3.19Goals Against Per Game3.38
26.67%Power Play Percentage21.30%
78.13%Penalty Kill Percentage78.79%
Team Leaders
Gerry MayhewGoals
Gerry Mayhew
12
Scott MorrowAssists
Scott Morrow
18
Tanner LaczynskiPoints
Tanner Laczynski
27
Andreas EnglundPlus/Minus
Andreas Englund
10
Michael DipietroWins
Michael Dipietro
13
Michael DipietroSave Percentage
Michael Dipietro
0.909

Team Stats
Goals For
102
3.19 GFG
Shots For
1064
33.25 Avg
Power Play Percentage
26.7%
28 GF
Offensive Zone Start
40.8%
Goals Against
102
3.19 GAA
Shots Against
1091
34.09 Avg
Penalty Kill Percentage
78.1%%
35 GA
Defensive Zone Start
41.2%
Team Info

General ManagerXavier Berard
CoachRyan Parent
DivisionMetropolitan
ConferenceEastern Conference
CaptainJordan Harris
Assistant #1Caedan Bankier
Assistant #2Nathan Gaucher


Arena Info

Capacity3,000
Attendance2,785
Season Tickets300


Roster Info

Pro Team29
Farm Team20
Contract Limit49 / 55
Prospects7


Filter Tips
PriorityTypeDescription
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Brett Murray0XX100.008274836295788363686062646167690516502831,000,000$
2Garrett Pilon0X100.006439826373828462706662606367720516402831,000,000$
3Tanner Laczynski0X100.006638846578847866726364626668700516402931,000,000$
4Gerry Mayhew0XXX100.006137826365848362686160626373750516303331,000,000$
5Jake Leschyshyn0XX100.006538816372738262676063646266680516302731,000,000$
6Jake Wise0XX100.005937886268798063676263616065670516302631,000,000$
7Garrett Wilson0XX100.007872505587768356625762595674790516203531,000,000$
8Caedan Bankier (A)0X100.007040845979848257635662555962640516102311,000,000$
9Nathan Gaucher (A)0XX100.007650695885738455625661595862640516102211,000,000$
10Wilmer Skoog0X100.007140805980868257635660585766680516102731,000,000$
11Anthony Vincent0XX100.006342665872807657595560545867700516002931,000,000$
12Jacob Quillan (R)0XX100.006838835878777356665759595663650516002431,000,000$
13Brandt Clarke0X100.00684177738086876930766266536365044670231925,000$
14Adam Boqvist0X100.006035957371877270307562645366680356602631,000,000$
15Jordan Harris (C)0X100.00643490667086766330716272526667056650261925,000$
16Andreas Englund0X100.008073696386828358306657674669710486403031,000,000$
17Scott Morrow (R)0X100.007041786782867266306860645263650516402311,000,000$
18Matthew Robertson0X100.007642746189858459306060624964660516302531,000,000$
Scratches
1Donovan Sebrango0X100.00704460618574765930585960526365040610241999,999$
2Tobie Paquette-Bisson0X100.007340815682658455305758584668700206102931,000,000$
3Cade Webber (R)0X100.008953815898637056305456614564660396102531,000,000$
4Corson Ceulemans0X100.00714084588071745630555757456264020600231925,000$
5Zachary Hayes0X100.007844695687636855305457584566680206002731,000,000$
6Jakub Dvorak (R)0X100.008142815590626854305254574560620205902111,000,000$
7Tyrel Bauer0X100.007656615485648153305255564563650205802431,000,000$
TEAM AVERAGE100.0071457761817779604760606154656804362
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
1Michael Dipietro0100.00798480747877797877797866750546802731,000,000$
2Dennis Hildeby0100.0077868298767577767577766471059670251999,999$
Scratches
1Cooper Black0100.0073747098727173727173726471024640251950,000$
2Waltteri Ignatjew0100.00717672837069717069717066750246302631,000,000$
TEAM AVERAGE100.007580768874737574737574657304066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Parent67686569595587CAN3832,500,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Tanner LaczynskiChicago Wolves (CAR)C32111627200137911540849.57%360218.81571230900001850053.88%80000010.9023000202
2Gerry MayhewChicago Wolves (CAR)C/LW/RW321213251260494797246712.37%669821.8216714740002812058.49%15900000.7202000021
3Scott MorrowChicago Wolves (CAR)D3271825530088527320409.59%5078024.38561138910000112110%000000.6400000403
4Garrett PilonChicago Wolves (CAR)C32816241180598979185910.13%454116.9200000000001053.48%70500000.8913000212
5Jordan HarrisChicago Wolves (CAR)D3151520-222034746118528.20%6174524.0634730670003122020%000100.5400000211
6Jake WiseChicago Wolves (CAR)C/LW3291120-220323010229918.82%561019.081341773000002068.09%4700000.6600000011
7Brett MurrayChicago Wolves (CAR)LW/RW3251318-420065477623626.58%955517.36279239200021540054.55%4400000.6500000011
8Andreas EnglundChicago Wolves (CAR)D3251217106315102406218338.06%5671222.2634738790000121000%000000.4800111130
9Jake LeschyshynChicago Wolves (CAR)C/LW326101660018587722537.79%1157317.910000000091590054.74%38000000.5611000000
10Matthew RobertsonChicago Wolves (CAR)D3251015-1360492842103911.90%2459318.543251360000036100%000000.5100000100
11Garrett WilsonChicago Wolves (CAR)LW/RW32681453801141457224110.53%549815.5924611740000141054.76%4200000.5600000102
12Caedan BankierChicago Wolves (CAR)C32448010019373272412.50%63079.5900000000002044.98%41800000.5200000001
13Donovan SebrangoChicago Wolves (CAR)D27167016042212010145.00%2846017.0600006000198000%000000.3000000010
14Cade WebberChicago Wolves (CAR)D28347-353567132261413.64%2837413.3811235000038110%000000.3700000000
15Jacob QuillanChicago Wolves (CAR)C/LW3261714018163371818.18%32226.9600000000001433.33%1800000.6300000021
16Brandt ClarkeChicago Wolves (CAR)D41561206687712.50%68421.1812331100005000%000001.4200000010
17Nathan GaucherChicago Wolves (CAR)C/RW32246-212057115213373.85%344413.8913416920000340063.79%5800000.2700000001
18Wilmer SkoogChicago Wolves (CAR)C322461401818225229.09%52226.9400000000000048.44%22500000.5400000000
19Adam BoqvistChicago Wolves (CAR)D5044-500365190%59218.4002241300004000%000000.8700000000
20Anthony VincentChicago Wolves (CAR)C/RW321233402312295173.45%22377.4300004000031036.00%2500000.2500000001
21Corson CeulemansChicago Wolves (CAR)D1000000000000%100.720000000000000%00000000000000
22Tobie Paquette-BissonChicago Wolves (CAR)D1000060120000%01616.080000000000000%00000000000000
Team Total or Average57799176275173662087770010643057839.30%321937316.2528517924083800018107513852.62%292100110.5949111131317
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
1Michael DipietroChicago Wolves (CAR)26131300.9093.08155700808780101.0009266202
2Dennis HildebyChicago Wolves (CAR)73300.8973.49378002221300000626000
Team Total or Average33161600.9073.16193600102109101093232202


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 By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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
Adam BoqvistChicago Wolves (CAR)D262000-08-15SWENo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Andreas EnglundChicago Wolves (CAR)D301996-01-21SWENo200 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Anthony VincentChicago Wolves (CAR)C/RW291997-08-12USANo190 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Brandt ClarkeChicago Wolves (CAR)D232003-02-09CANNo200 Lbs188 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Brett MurrayChicago Wolves (CAR)LW/RW281998-07-20CANNo228 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Cade WebberChicago Wolves (CAR)D252001-01-05USAYes212 Lbs201 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Caedan BankierChicago Wolves (CAR)C232003-01-26CANNo192 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Cooper BlackChicago Wolves (CAR)G252001-06-14USANo223 Lbs203 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm950,000$0$0$No---------------------------Link / NHL Link
Corson CeulemansChicago Wolves (CAR)D232003-05-05CANNo198 Lbs188 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Dennis HildebyChicago Wolves (CAR)G252001-08-19SWENo224 Lbs201 CMNoNoFantasy DraftNoNo12025-08-23FalseFalsePro & Farm999,999$0$0$No---------------------------Link / NHL Link
Donovan SebrangoChicago Wolves (CAR)D242002-01-12CANNo221 Lbs188 CMNoNoFantasy DraftNoNo12025-08-23FalseFalsePro & Farm999,999$0$0$No---------------------------Link / NHL Link
Garrett PilonChicago Wolves (CAR)C281998-04-13CANNo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Garrett WilsonChicago Wolves (CAR)LW/RW351991-03-16CANNo218 Lbs191 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Gerry MayhewChicago Wolves (CAR)C/LW/RW331992-12-31USANo161 Lbs175 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Jacob QuillanChicago Wolves (CAR)C/LW242002-02-02CANYes204 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Jake LeschyshynChicago Wolves (CAR)C/LW271999-03-10CANNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Jake WiseChicago Wolves (CAR)C/LW262000-02-28USANo189 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Jakub DvorakChicago Wolves (CAR)D212005-05-25CZEYes203 Lbs196 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Jordan HarrisChicago Wolves (CAR)D262000-07-07USANo187 Lbs180 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Matthew RobertsonChicago Wolves (CAR)D252001-03-09CANNo211 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Michael DipietroChicago Wolves (CAR)G271999-06-09CANNo200 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Nathan GaucherChicago Wolves (CAR)C/RW222003-11-06CANNo207 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Scott MorrowChicago Wolves (CAR)D232002-11-01USAYes210 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Tanner LaczynskiChicago Wolves (CAR)C291997-06-01USANo205 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Tobie Paquette-BissonChicago Wolves (CAR)D291997-02-01CANNo194 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Tyrel BauerChicago Wolves (CAR)D242002-03-23CANNo206 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Waltteri IgnatjewChicago Wolves (CAR)G261999-12-03FINNo200 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Wilmer SkoogChicago Wolves (CAR)C271999-07-17SWENo196 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Zachary HayesChicago Wolves (CAR)D271999-04-24CANNo219 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.21203 Lbs188 CM2.31990,517$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake WiseGarrett PilonGerry Mayhew40113
2Jake LeschyshynTanner LaczynskiGarrett Wilson30113
3Brett MurrayCaedan BankierNathan Gaucher20131
4Jacob QuillanWilmer SkoogAnthony Vincent10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisBrandt Clarke40023
2Andreas EnglundScott Morrow34023
3Adam BoqvistMatthew Robertson21023
4Scott MorrowJordan Harris5014
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett MurrayTanner LaczynskiNathan Gaucher65014
2Jake WiseGerry MayhewGarrett Wilson35014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowBrandt Clarke65014
2Jordan HarrisAdam Boqvist35014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake LeschyshynBrett Murray60131
2Tanner LaczynskiGerry Mayhew40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HarrisAndreas Englund60131
2Scott MorrowMatthew Robertson40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Leschyshyn60050Andreas EnglundJordan Harris60050
2Tanner Laczynski40050Scott MorrowMatthew Robertson40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tanner LaczynskiBrett Murray60122
2Jake LeschyshynNathan Gaucher40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowBrandt Clarke60122
2Jordan HarrisAdam Boqvist40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett MurrayTanner LaczynskiNathan GaucherScott MorrowJordan Harris
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake LeschyshynGarrett PilonGerry MayhewAndreas EnglundJordan Harris
Extra Forwards
Normal PowerPlayPenalty Kill
Nathan Gaucher, Tanner Laczynski, Brett MurrayAnthony Vincent, Nathan GaucherNathan Gaucher
Extra Defensemen
Normal PowerPlayPenalty Kill
Scott Morrow, Andreas Englund, Jordan HarrisMatthew RobertsonBrandt Clarke, Matthew Robertson
Penalty Shots
Tanner Laczynski, Garrett Pilon, Gerry Mayhew, Jake Leschyshyn, Brett Murray
Goalie
#1 : Dennis Hildeby, #2 : Michael Dipietro
Custom OT Lines Forwards
Nathan Gaucher, Tanner Laczynski, Caedan Bankier, Anthony Vincent, Gerry Mayhew, Garrett Pilon, Jake Leschyshyn, Jake Wise, Wilmer Skoog, Jacob Quillan
Custom OT Lines Defensemen
Jordan Harris, Andreas Englund, Scott Morrow, Matthew Robertson, Brandt Clarke


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
OverallHomeVisitor
# 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
1Abbotsford Canucks10001000211100010002110000000000021.000235003823366253443173902225121023400.00%50100.00%0631118153.43%624119252.35%28252353.92%773526747237419207
2Admirals1010000023-11010000023-10000000000000.000246003823366353443173902242111229400.00%6266.67%0631118153.43%624119252.35%28252353.92%773526747237419207
3Barracuda21100000743110000005141010000023-120.500713200038233668734431739022621926579222.22%13376.92%0631118153.43%624119252.35%28252353.92%773526747237419207
4Bears211000007611010000034-11100000042220.500710170038233665534431739022712316506116.67%8275.00%0631118153.43%624119252.35%28252353.92%773526747237419207
5Bridgeport Islanders1010000012-11010000012-10000000000000.000123003823366233443173902233161031000%50100.00%0631118153.43%624119252.35%28252353.92%773526747237419207
6Bruins20100010550000000000002010001055020.50058130038233665234431739022753316625360.00%80100.00%0631118153.43%624119252.35%28252353.92%773526747237419207
7Calgary Wranglers1010000024-21010000024-20000000000000.000246003823366333443173902238710233133.33%5180.00%0631118153.43%624119252.35%28252353.92%773526747237419207
8Colorado Eagles1010000034-1000000000001010000034-100.00036900382336628344317390223181425100.00%6183.33%0631118153.43%624119252.35%28252353.92%773526747237419207
9Condors1010000024-21010000024-20000000000000.0002350038233662534431739022451714273133.33%7185.71%0631118153.43%624119252.35%28252353.92%773526747237419207
10Henderson Silver Knights2110000045-11010000003-31100000042220.50047110038233667634431739022651924508225.00%10280.00%0631118153.43%624119252.35%28252353.92%773526747237419207
11Monsters1010000045-11010000045-10000000000000.00048120038233663934431739022391112163133.33%6183.33%0631118153.43%624119252.35%28252353.92%773526747237419207
12Moose21100000651110000004221010000023-120.500610160038233666234431739022711818528337.50%9366.67%0631118153.43%624119252.35%28252353.92%773526747237419207
13Ontario Reign1010000024-2000000000001010000024-200.000246003823366413443173902226515364250.00%5340.00%0631118153.43%624119252.35%28252353.92%773526747237419207
14Phantoms3210000014862110000010551100000043140.667142539003823366111344317390229126339212433.33%14285.71%0631118153.43%624119252.35%28252353.92%773526747237419207
15Rochester Americans2110000079-21010000036-31100000043120.500712190038233668634431739022542018548112.50%9366.67%0631118153.43%624119252.35%28252353.92%773526747237419207
16San Diego Gulls11000000642000000000001100000064221.0006111700382336650344317390223578333133.33%4175.00%0631118153.43%624119252.35%28252353.92%773526747237419207
17Texas Stars1010000006-6000000000001010000006-600.00000000382336623344317390224441428500.00%7357.14%0631118153.43%624119252.35%28252353.92%773526747237419207
18Toronto Marlies20001010862100000104311000100043141.000812200038233664534431739022702122485240.00%11281.82%0631118153.43%624119252.35%28252353.92%773526747237419207
19Utica Comets10000010761100000107610000000000021.00071118003823366373443173902241521244250.00%3166.67%0631118153.43%624119252.35%28252353.92%773526747237419207
20Wild22000000963110000005411100000042241.000915240038233667234431739022702135513266.67%11372.73%0631118153.43%624119252.35%28252353.92%773526747237419207
21Wolf Pack2110000045-11010000014-31100000031220.5004812003823366593443173902263181866700.00%8187.50%0631118153.43%624119252.35%28252353.92%773526747237419207
Total32111602030102102017410010205557-215760101047452320.50010217627800382336610643443173902210913213668771052826.67%1603578.13%0631118153.43%624119252.35%28252353.92%773526747237419207
_Since Last GM Reset32111602030102102017410010205557-215760101047452320.50010217627800382336610643443173902210913213668771052826.67%1603578.13%0631118153.43%624119252.35%28252353.92%773526747237419207
_Vs Conference16570103057525916000203335-27410101024177180.563579615300382336650734431739022537173166443501428.00%721283.33%0631118153.43%624119252.35%28252353.92%773526747237419207
_Vs Division104500010373257150001026260330000001165100.5003764101003823366324344317390223389911027932825.00%44784.09%0631118153.43%624119252.35%28252353.92%773526747237419207

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3232W31021762781064109132136687700
All Games
GPWLOTWOTL SOWSOLGFGA
3211162030102102
Home Games
GPWLOTWOTL SOWSOLGFGA
1741010205557
Visitor Games
GPWLOTWOTL SOWSOLGFGA
157610104745
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1052826.67%1603578.13%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
344317390223823366
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
631118153.43%624119252.35%28252353.92%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
773526747237419207


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
3 - 2025-10-0914Utica Comets6Chicago Wolves7WXXBox score
5 - 2025-10-1130Phantoms4Chicago Wolves3LBox score
8 - 2025-10-1455Chicago Wolves2Barracuda3LBox score
10 - 2025-10-1670Chicago Wolves6San Diego Gulls4WBox score
12 - 2025-10-1886Chicago Wolves2Ontario Reign4LBox score
14 - 2025-10-2097Chicago Wolves4Henderson Silver Knights2WBox score
17 - 2025-10-23121Chicago Wolves3Colorado Eagles4LBox score
19 - 2025-10-25138Chicago Wolves0Texas Stars6LBox score
22 - 2025-10-28155Henderson Silver Knights3Chicago Wolves0LBox score
24 - 2025-10-30171Bridgeport Islanders2Chicago Wolves1LBox score
26 - 2025-11-01181Chicago Wolves1Bruins2LBox score
29 - 2025-11-04206Chicago Wolves3Wolf Pack1WBox score
31 - 2025-11-06222Wild4Chicago Wolves5WBox score
33 - 2025-11-08238Rochester Americans6Chicago Wolves3LBox score
34 - 2025-11-09246Chicago Wolves4Toronto Marlies3WXBox score
36 - 2025-11-11259Bears4Chicago Wolves3LBox score
39 - 2025-11-14279Abbotsford Canucks1Chicago Wolves2WXBox score
40 - 2025-11-15289Condors4Chicago Wolves2LBox score
42 - 2025-11-17301Chicago Wolves4Bruins3WXXBox score
44 - 2025-11-19317Chicago Wolves4Wild2WBox score
46 - 2025-11-21333Chicago Wolves2Moose3LBox score
48 - 2025-11-23347Chicago Wolves4Rochester Americans3WBox score
51 - 2025-11-26368Wolf Pack4Chicago Wolves1LBox score
53 - 2025-11-28387Moose2Chicago Wolves4WBox score
55 - 2025-11-30404Calgary Wranglers4Chicago Wolves2LBox score
59 - 2025-12-04431Toronto Marlies3Chicago Wolves4WXXBox score
61 - 2025-12-06447Admirals3Chicago Wolves2LBox score
62 - 2025-12-07455Barracuda1Chicago Wolves5WBox score
64 - 2025-12-09471Monsters5Chicago Wolves4LBox score
66 - 2025-12-11485Chicago Wolves4Bears2WBox score
68 - 2025-12-13501Chicago Wolves4Phantoms3WBox score
69 - 2025-12-14510Phantoms1Chicago Wolves7WBox score
72 - 2025-12-17532Chicago Wolves-Admirals-
74 - 2025-12-19544Chicago Wolves-Charlotte Checkers-
75 - 2025-12-20557Chicago Wolves-Syracruse Crunch-
78 - 2025-12-23581Charlotte Checkers-Chicago Wolves-
82 - 2025-12-27593Griffins-Chicago Wolves-
84 - 2025-12-29608Wolf Pack-Chicago Wolves-
85 - 2025-12-30619Chicago Wolves-Penguins-
87 - 2026-01-01636Laval Rocket-Chicago Wolves-
89 - 2026-01-03653Colorado Eagles-Chicago Wolves-
90 - 2026-01-04660Chicago Wolves-Utica Comets-
92 - 2026-01-06671Texas Stars-Chicago Wolves-
94 - 2026-01-08688San Diego Gulls-Chicago Wolves-
96 - 2026-01-10706Coachella Valley Firebirds-Chicago Wolves-
98 - 2026-01-12717Chicago Wolves-Griffins-
99 - 2026-01-13730Chicago Wolves-Thunderbirds-
102 - 2026-01-16750Charlotte Checkers-Chicago Wolves-
103 - 2026-01-17759Chicago Wolves-Utica Comets-
105 - 2026-01-19770Rochester Americans-Chicago Wolves-
108 - 2026-01-22796IceHogs-Chicago Wolves-
110 - 2026-01-24813Chicago Wolves-Belleville Senators-
115 - 2026-01-29851Tucson Roadrunners-Chicago Wolves-
117 - 2026-01-31864Chicago Wolves-Bears-
118 - 2026-02-01874Ontario Reign-Chicago Wolves-
120 - 2026-02-03890Belleville Senators-Chicago Wolves-
122 - 2026-02-05906Chicago Wolves-Wolf Pack-
143 - 2026-02-26923Syracruse Crunch-Chicago Wolves-
145 - 2026-02-28942Griffins-Chicago Wolves-
147 - 2026-03-02957Chicago Wolves-Coachella Valley Firebirds-
149 - 2026-03-04972Chicago Wolves-Abbotsford Canucks-
151 - 2026-03-06986Chicago Wolves-Condors-
152 - 2026-03-07998Chicago Wolves-Calgary Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101018Penguins-Chicago Wolves-
157 - 2026-03-121033Thunderbirds-Chicago Wolves-
159 - 2026-03-141049Chicago Wolves-Syracruse Crunch-
162 - 2026-03-171070Chicago Wolves-Monsters-
163 - 2026-03-181078Penguins-Chicago Wolves-
165 - 2026-03-201094Chicago Wolves-Toronto Marlies-
167 - 2026-03-221112Chicago Wolves-Penguins-
169 - 2026-03-241121Chicago Wolves-Laval Rocket-
173 - 2026-03-281157Utica Comets-Chicago Wolves-
174 - 2026-03-291169Laval Rocket-Chicago Wolves-
176 - 2026-03-311185Chicago Wolves-Monsters-
178 - 2026-04-021197Monsters-Chicago Wolves-
180 - 2026-04-041214Bridgeport Islanders-Chicago Wolves-
181 - 2026-04-051225Chicago Wolves-Belleville Senators-
183 - 2026-04-071237Bruins-Chicago Wolves-
185 - 2026-04-091255Chicago Wolves-IceHogs-
187 - 2026-04-111269Chicago Wolves-Tucson Roadrunners-
189 - 2026-04-131284Chicago Wolves-Phantoms-
190 - 2026-04-141293Chicago Wolves-Bridgeport Islanders-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance31,18716,150
Attendance PCT91.73%95.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 2785 - 92.82% 114,550$1,947,343$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,374,307$ 2,872,500$ 2,872,500$ 2,500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,009,719$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,749,190$ 123 27,982$ 3,441,786$




Chicago Wolves 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

Chicago Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Chicago Wolves 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

Chicago Wolves 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

Chicago Wolves Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA