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Chicago Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Jan | Morale : 1 | Team Overall : 60
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Team Leaders

Team Stats
Team Info

General ManagerJan
CoachCam Abbott
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team32
Farm Team20
Contract Limit52 / 70
Prospects32


Team History

This Season0-0
History36-39-8 (0.434%)
Playoff Appearances1
Playoff Record (W-L)0-0
Stanley Cup0


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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
1Rocco GrimaldiXXX100.00504368725074736950656850706558041640312800,000$
2Bradly NadeauXXX100.005540757572896065406060606751500456301931,400,000$
3Chris TerryXX100.00524367646171716645646151647571048620351800,000$
4Callahan BurkeXXX100.00584271706069676444625961645550027610272800,000$
5Nathan SuceseXX100.00524174665671696444596250645550045600282800,000$
6Juha Jaaska (R)XX100.00606060606060606040606060606060017590261800,000$
7Josh MelnickX100.00534173655770686161625453605851017590292800,000$
8Ryan SuzukiX100.00584173656464626160605752615150023590232800,000$
9Tuukka TieksolaXX100.00606060606060606040606060606060022590232800,000$
10Scott Morrow (R)X100.005540757383856065405253636651500536602221,100,000$
11Dylan CoghlanX100.00544466726368666840555967695450050640261800,000$
12Ty SmithX100.00544367726066646740575267665250043640242800,000$
13Cavan FitzgeraldX100.00574270696469676540525665665550043630282800,000$
14Tory DelloX100.00584270656369676240474762605550037610272800,000$
15Griffin MendelX100.00644366597366645940444660575350028600252800,000$
16Alexander Nikishin (R)X100.00606060606060606040525360606060034600233975,000$
17Matt DonovanX100.00505457616271716640584853617063033600341800,000$
18Anttoni HonkaX100.00606060606060606040525360606060048600241975,000$
19Alex GreenX100.00564268646565625940434657595450019590261800,000$
Scratches
1Lucas Mercuri (R)X100.00606060606060606040606060606060017590223800,000$
2Max ComtoisXX100.005760546069676564446360506153500295902521,900,000$
3Noel GunlerXX100.006060606060606060406060606060600165902311,100,000$
4Blake MurrayXXX100.00606060606060606040606060606060025590232800,000$
5Alexander Pashin (R)XX100.00606060606060606040606060606060026590221775,000$
6Dominic FrancoXXX100.00635556587170685857545254565850019570282800,000$
7Jake WiseX100.00564271646265636043595352595250020570242800,000$
8Isaac RatcliffeXX100.00574762596867655941515350575350019560252800,000$
9Domenick FensoreX100.00534171725361586140514659625050014590231975,000$
10Ronan SeeleyX100.00544173636563616240494651595050020580221775,000$
TEAM AVERAGE100.0057496664636764624356555762575403060
Filter Tips
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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
1Adam Scheel100.0074667165707073697172635350054640252800,000$
2Yaniv Perets100.00776563767068666568706551500316302421,400,000$
Scratches
1Dante Giannuzzi100.0061555563585453505458505050019520221775,000$
TEAM AVERAGE100.007162636866646461646759515003560
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cam Abbott6060606060601CAN4131,000,000$


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
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 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 AverageSalary Ave 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 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 ScheelChicago Wolves (CAR)G2501.05.1999No87 Kg191 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Alex GreenChicago Wolves (CAR)D2618.06.1998No90 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No------------------Link / NHL Link
Alexander NikishinChicago Wolves (CAR)D2302.10.2001Yes98 Kg193 CMNoNoAssign ManuallyNoNo305.06.2024FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------NoNo-------Link / NHL Link
Alexander PashinChicago Wolves (CAR)LW/RW2228.07.2002Yes70 Kg173 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link / NHL Link
Anttoni HonkaChicago Wolves (CAR)D2405.10.2000No82 Kg180 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm975,000$975,000$0$0$No------------------Link / NHL Link
Blake MurrayChicago Wolves (CAR)C/LW/RW2305.07.2001No85 Kg188 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Bradly NadeauChicago Wolves (CAR)C/LW/RW1905.05.2005No73 Kg178 CMNoNoAssign ManuallyNoNo305.06.2024FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$1,400,000$-------NoNo-------Link / NHL Link
Callahan BurkeChicago Wolves (CAR)C/LW/RW2719.03.1997No83 Kg178 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Cavan FitzgeraldChicago Wolves (CAR)D2823.08.1996No91 Kg185 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Chris TerryChicago Wolves (CAR)LW/RW3507.04.1989No92 Kg178 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No------------------Link / NHL Link
Dante GiannuzziChicago Wolves (CAR)G2203.09.2002No83 Kg185 CMNoNoAssign ManuallyNoNo102.06.2024FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Domenick FensoreChicago Wolves (CAR)D2307.09.2001No69 Kg170 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm975,000$975,000$0$0$No------------------Link / NHL Link
Dominic FrancoChicago Wolves (CAR)C/LW/RW2807.01.1996No99 Kg196 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Dylan CoghlanChicago Wolves (CAR)D2619.02.1998No86 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No------------------Link / NHL Link
Griffin MendelChicago Wolves (CAR)D2518.02.1999No102 Kg193 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Isaac RatcliffeChicago Wolves (CAR)LW/RW2515.02.1999No92 Kg196 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Jake WiseChicago Wolves (CAR)C2428.02.2000No86 Kg180 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Josh MelnickChicago Wolves (CAR)C2910.07.1995No80 Kg178 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Juha JaaskaChicago Wolves (CAR)LW/RW2609.02.1998Yes89 Kg183 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No------------------Link / NHL Link
Lucas MercuriChicago Wolves (CAR)C2207.03.2002Yes87 Kg191 CMNoNoAssign ManuallyNoNo305.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------NoNo-------Link / NHL Link
Matt DonovanChicago Wolves (CAR)D3409.05.1990No91 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No------------------Link / NHL Link
Max Comtois (1 Way Contract)Chicago Wolves (CAR)LW/RW2508.01.1999No98 Kg188 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm1,900,000$1,900,000$1,900,000$0$No1,900,000$--------No--------Link / NHL Link
Nathan SuceseChicago Wolves (CAR)LW/RW2812.07.1996No79 Kg175 CMNoNoAssign ManuallyNoNo214.06.2024FalseFalsePro & Farm800,000$775,000$0$0$No800,000$--------No--------Link / NHL Link
Noel GunlerChicago Wolves (CAR)LW/RW2307.10.2001No80 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm1,100,000$1,100,000$0$0$No------------------Link / NHL Link
Rocco GrimaldiChicago Wolves (CAR)C/LW/RW3108.02.1993No73 Kg168 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Ronan SeeleyChicago Wolves (CAR)D2202.08.2002No87 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link / NHL Link
Ryan SuzukiChicago Wolves (CAR)C2328.05.2001No86 Kg185 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Scott MorrowChicago Wolves (CAR)D2201.11.2002Yes89 Kg188 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------No--------Link / NHL Link
Tory DelloChicago Wolves (CAR)D2714.02.1997No91 Kg183 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Tuukka TieksolaChicago Wolves (CAR)LW/RW2322.06.2001No79 Kg180 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Ty SmithChicago Wolves (CAR)D2424.03.2000No82 Kg180 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------Link / NHL Link
Yaniv PeretsChicago Wolves (CAR)G2404.03.2000No82 Kg185 CMNoNoAssign ManuallyNoNo205.06.2024FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3225.2585 Kg183 CM1.75904,688$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris TerryBradly NadeauNathan Sucese33113
2Callahan BurkeRocco Grimaldi30122
325113
4Juha JaaskaTuukka Tieksola12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan Coghlan33122
2Ty SmithCavan Fitzgerald30122
3Tory DelloAnttoni Honka25122
4Anttoni Honka12122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rocco GrimaldiBradly NadeauChris Terry50122
2Nathan SuceseBradly Nadeau50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty Smith50122
2Dylan CoghlanCavan Fitzgerald50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Bradly NadeauRocco Grimaldi50122
2Callahan BurkeChris Terry50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan Coghlan50122
2Cavan FitzgeraldTy Smith50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Bradly Nadeau50122Anttoni Honka50122
2Rocco Grimaldi50122Cavan FitzgeraldTy Smith50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Bradly NadeauRocco Grimaldi50122
2Callahan BurkeChris Terry50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan Coghlan50122
2Cavan FitzgeraldTy Smith50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rocco GrimaldiCallahan BurkeBradly NadeauTy Smith
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dylan CoghlanCavan Fitzgerald
Extra Forwards
Normal PowerPlayPenalty Kill
Nathan Sucese, Callahan Burke, Bradly NadeauNathan Sucese, Bradly NadeauBradly Nadeau
Extra Defensemen
Normal PowerPlayPenalty Kill
Cavan Fitzgerald, , Tory DelloCavan Fitzgerald, Cavan Fitzgerald
Penalty Shots
Nathan Sucese, , Rocco Grimaldi, Callahan Burke, Bradly Nadeau
Goalie
#1 : Adam Scheel, #2 : Yaniv Perets
Custom OT Lines Forwards
Juha Jaaska, , Rocco Grimaldi, Bradly Nadeau, Chris Terry, Tuukka Tieksola, Tuukka Tieksola, Nathan Sucese, Callahan Burke, ,
Custom OT Lines Defensemen
Dylan Coghlan, , Cavan Fitzgerald, Tory Dello, Ty Smith


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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
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
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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 RevenueCapacityTeam Popularity
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,705,000$ 2,625,000$ 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$ 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
1Bradly Nadeau712835632128515019514.36%15162822.94612183602222240.10%00.7703
2Rocco Grimaldi8131296011194112819515.90%9162920.112462400027344.81%10.7414
3Dylan Coghlan79104858-238121921168.62%97149818.965101549011000100.00%00.7711
4Jackson Blake64182947-6207714314912.08%15140621.9877143300012141.19%00.6711
5Brendan Lemieux61162945-65819113915810.13%13129421.23310132900033250.41%00.7002

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
1Adam Scheel54232150.9012.7629586113613760320.66721
2Yaniv Perets37131820.8843.1919730110590401000
3Jeremy Brodeur10000.9572.00300012300000

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
2482273906532216246-3041132102131102121-1941141804401114125-11792163846002283646013194963864963249230567858916622774817.33%2534781.42%21011232743.45%1106255843.24%555126144.01%1816122120826251070521
Total Regular Season82273906532216246-3041132102131102121-1941141804401114125-11792163846002283646013194963864963249230567858916622774817.33%2534781.42%21011232743.45%1106255843.24%555126144.01%1816122120826251070521
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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