Please rotate your device to landscape mode for a better experience.
Login

Chicago Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Christopher Dorion | Morale : 40 | Team Overall : 63

Team Leaders

Team Stats
Team Info

General ManagerChristopher Dorion
DivisionCentrale
ConferenceOuest
CaptainJeff Petry
Assistant #1Josh Brown
Assistant #2Adam Edstrom


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team18
Contract Limit41 / 250
Prospects15


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Ben Kindel (R)X100.0059349374698689687565676470586187406601831,475,000$
2Victor Eklund (R)X100.0067359472668562717570636573606286406601941,474,167$
3Adam Edstrom (A)X100.007753906799747663556061646265684740650242975,000$
4Bradly NadeauX100.006537856668868465626368616662637840650202918,333$
5Denver BarkeyX100.006338836965828667626660636562616440640203918,333$
6Matt RempeX100.008987686699747663565557625864664840640232975,000$
7Ryan SuzukiX100.006738876376788662706456616365677740630241775,000$
8Curtis DouglasX100.008581555999718158575654605366685840620251775,000$
9Ivan IvanX100.006238846372778959615857605664664340620231845,000$
10Luke TuchX100.007643705985748157525456585764667040610231925,000$
11Taylor MakarX100.007140735881758456545357555965674740600241925,000$
12Connor ClattenburgX100.007746505883687356615257555861634940590203828,333$
13Cole HutsonX100.0065338276678864733074706655596076406801932,229,167$
14Jeff Petry (C)X100.0070378968858781653070526649908029406703711,025,000$
15Josh Brown (A)X100.0083756162937780593064527247737430406403121,000,000$
16Scott MorrowX100.0069437266828584653068576153646673406402211,158,333$
17Ryan ChesleyX100.006437926073678459306157584962647640620211950,000$
18Loke JohanssonX100.007740855186636452305050564561634940580191775,000$
Scratches
1Zac FunkX100.0067417356767963545855535752636544405902221,033,333$
2Otto SalinX100.006137855570647654305652534562645540580213883,333$
TEAM AVERAGE100.00714679638077786150615861576566594063
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jakub Skarek100.00747975897372747372747368775640660251775,000$
2Trey Augustine100.006171687460596160596160616574405902041,908,333$
Scratches
1Topias Leinonen100.00627470986160626160626162677440590213950,000$
TEAM AVERAGE100.0066757187656466656466656470684061
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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 EdstromChicago Wolves (CAR)C242000-10-12SWENo232 Lbs6 ft7NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Link / NHL Link
Ben KindelChicago Wolves (CAR)C182007-04-19CANYes182 Lbs5 ft11NoNoDraftNoNo32026-07-28FalseFalsePro & Farm1,475,000$0$0$No1,486,250$1,486,250$-------1,486,250$1,486,250$-------NoNo-------Link / NHL Link
Bradly NadeauChicago Wolves (CAR)LW202005-05-05CANNo180 Lbs5 ft11NoNoTrade2026-01-01NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Link / NHL Link
Cole HutsonChicago Wolves (CAR)D192006-06-28USANo175 Lbs5 ft11NoNoDraftNoNo32026-07-03FalseFalsePro & Farm2,229,167$0$0$No2,240,417$2,240,417$-------2,240,417$2,240,417$-------NoNo-------Link / NHL Link
Connor ClattenburgChicago Wolves (CAR)C202005-05-02CANNo215 Lbs6 ft2NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm828,333$0$0$No828,333$828,333$-------828,333$828,333$-------NoNo-------Link / NHL Link
Curtis DouglasChicago Wolves (CAR)C252000-03-06CANNo242 Lbs6 ft9NoNoTrade2025-01-26NoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Denver BarkeyChicago Wolves (CAR)C202005-04-27CANNo171 Lbs5 ft10NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Link / NHL Link
Ivan IvanChicago Wolves (CAR)C232002-08-20CZENo190 Lbs6 ft0NoNoTrade2025-01-04NoNo12024-09-22FalseFalsePro & Farm845,000$0$0$No---------------------------Link / NHL Link
Jakub SkarekChicago Wolves (CAR)G251999-11-10CZENo211 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Jeff PetryChicago Wolves (CAR)D371987-12-09USANo208 Lbs6 ft3NoNoTrade2026-07-19NoNo12026-07-03FalseFalsePro & Farm1,025,000$0$0$No---------------------------Link / NHL Link
Josh BrownChicago Wolves (CAR)D311994-01-21CANNo220 Lbs6 ft5NoNoTrade2025-10-29NoNo22025-06-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Loke JohanssonChicago Wolves (CAR)D192005-12-14SWENo213 Lbs6 ft3NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Luke TuchChicago Wolves (CAR)LW232002-03-07USANo209 Lbs6 ft3NoNoTrade2025-10-30NoNo12025-07-16FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Matt RempeChicago Wolves (CAR)C232002-06-29CANNo261 Lbs6 ft9NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Link / NHL Link
Otto SalinChicago Wolves (CAR)D212004-03-07FINNo187 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm883,333$0$0$No883,333$883,333$-------883,333$883,333$-------NoNo-------Link / NHL Link
Ryan ChesleyChicago Wolves (CAR)D212004-02-27USANo195 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm950,000$0$0$No---------------------------Link / NHL Link
Ryan SuzukiChicago Wolves (CAR)C242001-05-28CANNo196 Lbs6 ft1NoNoAssign Manually2025-01-24NoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Scott MorrowChicago Wolves (CAR)D222002-11-01USANo210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm1,158,333$0$0$No---------------------------Link / NHL Link
Taylor MakarChicago Wolves (CAR)LW242001-03-13CANNo190 Lbs6 ft3NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm925,000$0$0$No---------------------------Link / NHL Link
Topias LeinonenChicago Wolves (CAR)G212004-01-25FINNo234 Lbs6 ft6NoNoProspectNoNo32026-08-03FalseFalsePro & Farm950,000$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------Link / NHL Link
Trey AugustineChicago Wolves (CAR)G202005-02-23USANo183 Lbs6 ft1NoNoDraftNoNo42026-08-03FalseFalsePro & Farm1,908,333$0$0$No1,908,333$1,908,333$1,908,333$------1,908,333$1,908,333$1,908,333$------NoNoNo------Link / NHL Link
Victor EklundChicago Wolves (CAR)RW192006-10-03SWEYes161 Lbs5 ft11NoNoDraftNoNo42026-07-28FalseFalsePro & Farm1,474,167$0$0$No1,474,167$1,474,167$1,474,167$------1,474,167$1,474,167$1,474,167$------NoNoNo------Link / NHL Link
Zac FunkChicago Wolves (CAR)LW222003-07-20CANNo210 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm1,033,333$0$0$No1,033,333$-----------------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2322.65203 Lbs6 ft22.001,065,072$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauBen KindelVictor Eklund40122
2Denver BarkeyAdam EdstromMatt Rempe30122
3Connor ClattenburgRyan SuzukiCurtis Douglas20212
4Luke TuchIvan IvanTaylor Makar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole HutsonJeff Petry40122
2Josh BrownLoke Johansson30122
3Ryan ChesleyScott Morrow20122
4Cole HutsonJeff Petry10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauBen KindelVictor Eklund60122
2Luke TuchAdam EdstromDenver Barkey40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole HutsonJeff Petry60122
2Josh BrownScott Morrow40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ben KindelBradly Nadeau60122
2Adam EdstromLuke Tuch40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole HutsonJeff Petry60122
2Josh BrownScott Morrow40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ben Kindel60122Cole HutsonJeff Petry60122
2Adam Edstrom40122Josh BrownScott Morrow40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ben KindelBradly Nadeau60122
2Adam EdstromLuke Tuch40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole HutsonJeff Petry60122
2Josh BrownScott Morrow40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Bradly NadeauBen KindelVictor EklundCole HutsonJeff Petry
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Luke TuchAdam EdstromDenver BarkeyJosh BrownScott Morrow
Extra Forwards
Normal PowerPlayPenalty Kill
Denver Barkey, Matt Rempe, Ryan SuzukiDenver Barkey, Matt RempeDenver Barkey
Extra Defensemen
Normal PowerPlayPenalty Kill
Scott Morrow, Ryan Chesley, Loke JohanssonScott MorrowScott Morrow, Ryan Chesley
Penalty Shots
Victor Eklund, Ben Kindel, Bradly Nadeau, Adam Edstrom, Denver Barkey
Goalie
#1 : Trey Augustine, #2 : Jakub Skarek


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
OverallHome Visitor
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
9 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 12,248,330$ 12,248,330$ 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$ 0 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

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