Please rotate your device to landscape mode for a better experience.
PACIFIC
CENTRAL
METROPOLITAN
ATLANTIC
Login
Chicago Wolves
GP: 3 | W: 2 | L: 0 | OTL: 1 | P: 5
GF: 15 | GA: 7 | PP%: 41.67% | PK%: 88.89%
GM : Patrik Andersson | Morale : 51 | Team Overall : 57
Next Games #57 vs Utica Comets
Game Center
Hamilton Hammers
0-2-1, 1pts
0
3
Chicago Wolves
2-0-1, 5pts
2026-09-20 Box score
5 senaste matcher
DatumMotståndResultat
2026-09-20Hamilton HammersH3 - 0--
2026-09-19Hartford Wolf PackH4 - 5--
2026-09-18Lehigh Valley PhantomsH8 - 2--
5 kommande matcher
DatumMotståndStatus
2026-09-21Utica CometsH
2026-09-22Cleveland MonstersA
2026-09-23Hershey BearsA
2026-09-24Wilkes-Barre/Scranton PenguinsA
Team Stats
Metropolitan Standings
TeamGPWLOTLGFGAGDPtsStreakLast 10
WAS3300128+46W33-0-0
NYR33001410+46W33-0-0
CAR3201157+85W12-0-1
CLB3210108+24W12-1-0
NJD31111214-23OTL11-1-1
PHI3111915-63OTL11-1-1
PIT3021913-41SOL10-2-1
NYI3021713-61L10-2-1
Intern poängliga
Justin RobidasC3426202666.67%113.70
Jack BeckerLWRW3314002560.00%016.53
Laurent DauphinC304410140.00%018.25
Zayne ParekhD304414130.00%122.88
Dominik ShineRW3123055714.29%017.85
Calen AddisonD31234021100.00%116.59
Gracyn SawchynLWRW303320160.00%013.61
Cale FleuryD3202203450.00%621.11
Walker DuehrLWRW3112122520.00%014.93
Dominic ToninatoC3112-202616.67%116.15
Patrick BrownC302222350.00%016.17
Sean DayD302242410.00%416.85
Juuso ValimakiD3101-141250.00%719.91
Mike HardmanLWRW3101000425.00%013.18
Carter YakemchukD301102220.00%219.77
Matthew BarboliniLWRW301130230.00%011.51
Quentin MustyLW300014520.00%114.44
Lucas MercuriLWRW300017610.00%113.58
Målvakter
Pheonix Copley32010.9192.30184017860000.0000
Team Stats
Goals For
5.00 GPG
Rank #1 / 32
Shots For
22.33 Avg
Rank #29 / 32
Power Play Percentage
41.7%
Rank #1 / 32
Offensive Zone Start
37.9%
Rank #25 / 32
Puck Time Control In Offensif Zone / GP
15.23 min
Rank #21 / 32
Goals Against
2.33 GAA
Rank #3 / 32
Shots Against
28.67 Avg
Rank #20 / 32
Penalty Kill Percentage
88.9%
Rank #7 / 32
Defensive Zone Start
38.3%
Rank #14 / 32
Puck Time In Offensif Zone / Puck Time In Defensif Zone
0.96
Rank #20 / 32
Team Info
General ManagerPatrik Andersson
CoachAnders Sorensen
DivisionMetropolitan
ConferenceEastern Conference
CaptainDominik Shine
Assistant #1Patrick Brown
Assistant #2Justin Robidas
Arena Info
Name
Capacity7,500
Attendance0
Season Tickets750
Pro Team28
Farm Team20
Contract Limit48 / 60
Prospects19
Estimated Season Salary Cap0$
Available Salary Cap104,000,000$
Special Salary Cap Value0$
Players In Salary Cap0
Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account0$
Projected Bank Account0$
This Season2-0-1 (5 PTS)
History215-114-31
Playoff Appearances4
Playoff Record (W-L)21 - 24
Stanley Cup0
Trade Block
PlayerPOSOVAgeContractSalary
-


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 #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
1Dominik Shine (C)65X100.00726394666055746648636863606455054610332875,000$
2Patrick Brown (A)38X100.007056856361509062756363705664550516003411,075,000$
3Laurent Dauphin47X100.006655876659508164757063645760530516003111,075,000$
4Dominic Toninato21X100.00705783646050806475646456576254051590321975,000$
5Justin Robidas (A)45X100.00603493655350836475666662584545051580231850,000$
6Walker Duehr71XX100.00643693616150856255586261555450051570282875,000$
7Jack Becker27XX100.006655876062509061556159655354500515702911,075,000$
8Quentin Musty13X100.00715785636350856345616455574242051570202909,166$
9Lucas Mercuri11XX100.00816875586550885955565867524847048570251913,750$
10Mike Hardman86XX100.00633593586250835755566056525249051550271850,000$
11Gracyn Sawchyn59XX100.00573191615350726355635858544343051550212934,166$
12Matthew Barbolini28XX100.00663793586350856155595556514847051550261850,000$
13Cale Fleury80X100.00886896607368635525585779365045051630271890,000$
14Zayne Parekh89X100.00683694696971717025616672454340051630202953,750$
15Juuso Valimaki40X100.00673689686250686825615771555249051600271900,000$
16Carter Yakemchuk26X100.00665587656150816225615559524242051550203941,667$
17Sean Day74X100.00673897576450855425534968465450051550281850,000$
18Calen Addison33X100.006334896155508758255753614950480515402611,150,000$
Scratches
1Michal Kunc16XX100.00673793586250766055565858534847047550251850,000$
2Mitchell Stephens68X100.006335915858508958755759525256510475402911,075,000$
3Shawn Element17X100.00675485545650725475525756505048047530261850,000$
4Aidan Fulp29X100.00683791536450654825514371405048047540261850,000$
5Leo Loof7X100.006554875459507851255048684446460475302400$
6Joey Willis61X100.00603391595550825825545362494343047530212960,000$
7Quinton Burns43X100.00767767545950704925524567424343047530212938,333$
TEAM AVERAGE100.0068478961615279604759586351514805057
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
1Pheonix Copley92100.00686147806871616667655672630526203411,075,000$
2Spencer Martin41100.0062564679616367616179616459052590311850,000$
Scratches
1Amir Miftakhov35100.00655946756059595360625056480485502611,075,000$
TEAM AVERAGE100.006559467863646260636956645705159
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Anders Sorensen6469647470671SWE5112,010,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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 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
1Justin RobidasChicago Wolves (CAR)C34262002666666.67%14113.7020238000000045.95%3700012.9200000101
2Jack BeckerChicago Wolves (CAR)LW/RW33140002253160.00%04916.5311227101161066.67%600001.6100000010
3Laurent DauphinChicago Wolves (CAR)C3044100174050%05418.2502218011060061.73%8100001.4600000001
4Zayne ParekhChicago Wolves (CAR)D3044140153110%16822.880110801105000%000001.1700000000
5Gracyn SawchynChicago Wolves (CAR)LW/RW3033200146130%04013.6101117000000050.00%400001.4700000000
6Dominik ShineChicago Wolves (CAR)RW31230555073614.29%05317.8511257000010020.00%500001.1200100000
7Calen AddisonChicago Wolves (CAR)D312340021111100.00%14916.590000100002100%000001.2100000010
8Patrick BrownChicago Wolves (CAR)C30222203651100%04816.1700000011050059.62%5200000.8200000000
9Cale FleuryChicago Wolves (CAR)D32022003341050.00%66321.110001010116000%000000.6300000000
10Walker DuehrChicago Wolves (CAR)LW/RW31121202151620.00%04414.9301100000000016.67%600000.8900000000
11Dominic ToninatoChicago Wolves (CAR)C3112-2002562216.67%14816.1501107000010047.17%5300000.8300000000
12Sean DayChicago Wolves (CAR)D3022420431000%45016.850000000015000%000000.7900000000
13Juuso ValimakiChicago Wolves (CAR)D3101-1401522150.00%75919.911011700006000%000000.3300000000
14Carter YakemchukChicago Wolves (CAR)D3011020252010%25919.770112700003000%000000.3400000000
15Mike HardmanChicago Wolves (CAR)LW/RW31010000140125.00%03913.1800001000000050.00%400000.5100000000
16Matthew BarboliniChicago Wolves (CAR)LW/RW3011300223030%03411.51000000000000100.00%200000.5800000000
17Quentin MustyChicago Wolves (CAR)LW3000140522330%14314.440000800000000%00000000000000
18Lucas MercuriChicago Wolves (CAR)LW/RW3000175611010%14013.580000000004000%30000000010000
Team Total or Average54152641213210445967255122.39%2589016.50591416832353562053.36%25300010.9200110122
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
1Pheonix CopleyChicago Wolves (CAR)32010.9192.30183017860000030100
Team Total or Average32010.9192.3018301786000030100


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 RemainingSalary 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
Aidan FulpChicago Wolves (CAR)D262000-02-29USANo95 Kg191 CMNoNoAssign ManuallyNoNo12026-08-26FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Amir MiftakhovChicago Wolves (CAR)G262000-04-26RUSNo83 Kg183 CMNoNoAssign ManuallyNoNo12026-08-23FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link
Cale Fleury (1 Way Contract)Chicago Wolves (CAR)D271998-11-19CANNo93 Kg185 CMNoNoN/AYesYes12025-06-26FalseFalsePro & Farm890,000$890,000$0$0$No---------------------------Link / NHL Link
Calen Addison (1 Way Contract)Chicago Wolves (CAR)D262000-04-11CANNo80 Kg175 CMNoNoAssign Manually2024-06-04YesYes12024-08-24FalseFalsePro & Farm1,150,000$1,150,000$0$0$No---------------------------Link / NHL Link
Carter YakemchukChicago Wolves (CAR)D202005-09-29CANNo83 Kg188 CMNoNoDraftNoNo32026-06-07FalseFalsePro & Farm941,667$941,667$0$0$No941,667$941,667$-------941,667$941,667$-------NoNo-------Link / NHL Link
Dominic ToninatoChicago Wolves (CAR)C321994-03-09USANo82 Kg185 CMNoNoAssign Manually2024-03-10NoNo12025-08-23FalseFalsePro & Farm975,000$975,000$0$0$No---------------------------Link / NHL Link
Dominik Shine (1 Way Contract)Chicago Wolves (CAR)RW331993-04-18USANo85 Kg180 CMNoNoAssign ManuallyYesYes22026-06-07FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Gracyn SawchynChicago Wolves (CAR)LW/RW212005-01-19CANNo67 Kg178 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm934,166$934,166$0$0$No934,166$--------934,166$--------No--------Link
Jack BeckerChicago Wolves (CAR)LW/RW291997-06-24USANo86 Kg191 CMNoNoAssign ManuallyNoNo12026-08-23FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link / NHL Link
Joey WillisChicago Wolves (CAR)D212005-03-14USANo77 Kg178 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm960,000$960,000$0$0$No960,000$--------960,000$--------No--------Link
Justin RobidasChicago Wolves (CAR)C232003-03-13USANo79 Kg170 CMNoNoProspectYesYes12026-09-12FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Juuso Valimaki (1 Way Contract)Chicago Wolves (CAR)D271998-10-06FINNo91 Kg188 CMNoNoTrade2025-06-11YesYes12026-07-02FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Link / NHL Link
Laurent DauphinChicago Wolves (CAR)C311995-03-26CANNo84 Kg183 CMNoNoAssign ManuallyNoNo12026-08-22FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link / NHL Link
Leo LoofChicago Wolves (CAR)D242002-04-05SWENo81 Kg185 CMNoNoProspectNoNo02024-06-05FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Lucas MercuriChicago Wolves (CAR)LW/RW252001-03-07CANNo100 Kg191 CMNoNoProspectYesYes12026-06-07FalseFalsePro & Farm913,750$913,750$0$0$No---------------------------Link
Matthew BarboliniChicago Wolves (CAR)LW/RW262000-06-01USANo93 Kg188 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Michal KuncChicago Wolves (CAR)LW/RW252000-10-31CZENo94 Kg185 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link
Mike HardmanChicago Wolves (CAR)LW/RW271999-02-05USANo86 Kg191 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Mitchell StephensChicago Wolves (CAR)C291997-02-05CANNo83 Kg180 CMNoNoAssign ManuallyYesYes12026-08-25FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link / NHL Link
Patrick BrownChicago Wolves (CAR)C341992-05-29USANo90 Kg185 CMNoNoAssign Manually2025-12-02NoNo12026-08-21FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link / NHL Link
Pheonix CopleyChicago Wolves (CAR)G341992-01-18USANo91 Kg193 CMNoNoAssign Manually2025-03-09NoNo12026-08-21FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Link / NHL Link
Quentin MustyChicago Wolves (CAR)LW202005-07-06USANo92 Kg188 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm909,166$909,166$0$0$No909,166$--------909,166$--------No--------Link
Quinton BurnsChicago Wolves (CAR)D212005-04-14CANNo77 Kg188 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm938,333$938,333$0$0$No938,333$--------938,333$--------No--------Link
Sean DayChicago Wolves (CAR)D281998-01-09CANNo98 Kg188 CMNoNoAssign ManuallyNoNo12026-08-30FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link
Shawn ElementChicago Wolves (CAR)C262000-04-23CANNo81 Kg178 CMNoNoAssign ManuallyNoNo12026-08-26FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Spencer Martin (1 Way Contract)Chicago Wolves (CAR)G311995-06-08CANNo87 Kg191 CMNoNoTrade2025-10-30YesYes12026-06-07FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Walker DuehrChicago Wolves (CAR)LW/RW281997-11-23USANo87 Kg185 CMNoNoAssign ManuallyYesYes22026-06-17FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Zayne ParekhChicago Wolves (CAR)D202006-02-15CANNo81 Kg183 CMNoNoDraftNoNo22026-06-07FalseFalsePro & Farm953,750$953,750$0$0$No953,750$--------953,750$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2826.4386 Kg185 CM1.29909,494$


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
1Hamilton Hammers11000000303110000003030000000000021.000369014380142215291288915200.00%20100.00%0569459.57%429544.21%375962.71%694572244120
2Hartford Wolf Pack1000010045-11000010045-10000000000010.500471100438023221529133111493133.33%5180.00%1569459.57%429544.21%375962.71%694572244120
3Lehigh Valley Phantoms11000000826110000008260000000000021.000813210043803022152912569207457.14%20100.00%1569459.57%429544.21%375962.71%694572244120
Total3200010015783200010015780000000000050.8331526410143806722152918625324412541.67%9188.89%2569459.57%429544.21%375962.71%694572244120
_Since Last GM Reset3200010015783200010015780000000000050.8331526410143806722152918625324412541.67%9188.89%2569459.57%429544.21%375962.71%694572244120
_Vs Conference3200010015783200010015780000000000050.8331526410143806722152918625324412541.67%9188.89%2569459.57%429544.21%375962.71%694572244120
_Vs Division3200010015783200010015780000000000050.8331526410143806722152918625324412541.67%9188.89%2569459.57%429544.21%375962.71%694572244120

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
35W1152641678625324401
All Games
GPWLOTWOTL SOWSOLGFGA
3200100157
Home Games
GPWLOTWOTL SOWSOLGFGA
3200100157
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
200100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
12541.67%9188.89%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22152914380
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
569459.57%429544.21%375962.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
694572244120


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
1 - 2026-09-189Lehigh Valley Phantoms2Chicago Wolves8WBox score
2 - 2026-09-1925Hartford Wolf Pack5Chicago Wolves4LXBox score
3 - 2026-09-2041Hamilton Hammers0Chicago Wolves3WBox score
4 - 2026-09-2157Utica Comets-Chicago Wolves-
5 - 2026-09-2273Chicago Wolves-Cleveland Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
6 - 2026-09-2389Chicago Wolves-Hershey Bears-
7 - 2026-09-24105Chicago Wolves-Wilkes-Barre/Scranton Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity50002500
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
1 0 - 0.00% 0$0$7500100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,080,084$ 2,080,084$ 2,010,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 4 0$ 0$




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
1Curtis McKenzie2125988147271594012806299.38%60366817.3018314914102299539.92%20.8025
2Brandon Gignac2165387140187223449751910.21%38355616.47143044730441613254.81%00.7926
3Mackenzie MacEachern212446711120572832905288.33%49343216.199223181000611439.48%00.6514
4Christian Wolanin1452066868531261702059.76%169291920.13923328810156250.00%00.5900
5Jack Drury1232757841122702363028.94%9187215.227243110700034249.80%00.9000

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
1Eetu Makiniemi70491830.9162.4442324617220470110.91712
2Charlie Lindgren74432560.9182.45447410418322250210.83324
3Mads Sogaard72372870.9212.7343486019825031321270.76913
4Spencer Martin63352050.8623.3436872220514900210.80015
5Beck Warm40221170.9012.38242022969670200.8899

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
Regular Season
202172402102612232183493623100111013591443617110150297925942324146460590786132091694648734271833541121514644757716.21%5067086.17%71342248354.05%1289236954.41%554106951.82%171211301705574933464
20227238190734124618462361611061111249925362280123012285371022464396851690707514232577371481739211262966716533086721.75%2774384.48%21324240155.14%1290238754.04%613113454.06%175511971661544946477
20237236240354022117447362290203011576393614150151010698891221385606149366559230874377577633216261975215973317221.75%2983986.91%31258245751.20%1192245448.57%572111051.53%173811771675552944482
202472292805631206206036151402311103106-3361414033201031003812063455517038798110265279093189846251081443917401334030.08%1685368.45%5755152149.64%818163849.94%534102252.25%151083214766791372678
2025723722035322742403436171201420142130123620100211213211022932744897631210394719200666367264847171952388812573578323.25%3848478.13%71289236654.48%1237215957.30%715123158.08%178712061600558971498
Total Regular Season36018011402025156117998719218093560129826195021171808758081674560485754611179207232511017414387343451138236633740387319210336312639617711160433921.13%163328982.30%2459681122853.15%58261100752.93%2988556653.68%850455468119290951672602
Playoff
2021514000001217-531200000910-12020000037-42122335004611183565458151634410513631516.13%49883.67%011721654.17%11620556.59%397254.17%12983132447034
20221910900000494541046000002427-3963000002518720498713611132114159820020917712534170170425901415.56%761284.21%033566550.38%31461451.14%15930352.48%470316441149259131
202314770000039363633000001310384400000262601439741131114914246913915215820385106110311751418.67%40880.00%025652648.67%25045455.07%10721450.00%34924031910918896
20257340000024195413000001212032100000127562444680081060239766381191675668114451124.44%32875.00%015128353.36%12620461.76%6611258.93%1931321595610153
Total Playoff45212400000124117723914000005859-122121000000665884212422835222394635414894714784746612493764539862414418.26%1973681.73%0859169050.83%806147754.57%37170152.92%11437721053360619315

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
1Vasili Ponomarev33514192143965875.75%559918.162683200012048.33%00.6300
2Seth Jarvis18144186023227319.18%330116.734151900004054.95%01.2000
3Curtis McKenzie339918-4187043929.78%760118.232572000022039.47%00.6000
4Vinnie Hinostroza1451217004264710.64%028020.0637102100011016.67%11.2100
5Mackenzie MacEachern33971602159528210.98%851315.564591200012036.00%00.6200

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
1Eetu Makiniemi1910630.9172.261170014453300100
2Charlie Lindgren147700.9052.54826213536700100
3Spencer Martin73130.8862.52452001916700000
4Max Lagace41210.9042.89270001313600000
5Beck Warm10100.8524.07590042700000