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Chicago Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Vacant | Morale : 50 | Team Overall : N/A
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Team Leaders

Team Stats
Team Info

General ManagerVacant
CoachCaroline
DivisionSOUTHEAST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team28
Farm Team22
Contract Limit50 / 250
Prospects54


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.
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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
1Gabriel DumontXX100.006253746269808361736566616372773550003141,999,999$
2Charles HudonX100.005939776870949366726567637169705924002841,750,000$
3Michael MerschX100.007441796583888964666365626570754823002941,999,999$
4Hudson FaschingX100.00743994628481856165625862596769515000271725,000$
5Matthew HighmoreXX100.00653682647081836374626176646667563400262817,500$
6Kristian Vesalainen (R)XX100.00733988658670836459626163666467815000232832,500$
7Lucas Elvenes (R)X100.00633880637278816470665755636566575000232750,000$
8Arttu RuotsalainenX100.00623689677087866470656861696567545000244925,000$
9Pavel DorofeyevX100.00593781667285836456616362666264655000212925,000$
10Marco RossiX100.00573871686691866780656261736263865000213894,167$
11Simon RyforsX100.00603886626981946172605657626567545000254842,500$
12Tommy CrossX100.007443725884788657306056614873784550003441,999,999$
13Josh MahuraX100.00703488706985766930706359546365625000241700,000$
14Cameron CrottyX100.00713986578173925630555458456365645000232925,000$
15Nikita OkhotiukX100.00793670617681856230636260556264685000212816,667$
16Victor SoderstromX100.00623789666986776530646062526163855000212863,333$
17Simon LundmarkX100.00723892558170855430555357456264725000212850,833$
Scratches
1Daniel O'ReganX100.004035404035809040204040403040401150002831,999,999$
2Lias AnderssonXX100.006035826574787563725860576264658550002311,199,999$
3Jonathan Davidsson (R)X100.00403540403580904020404040302526115000253787,500$
4Alex TurcotteX100.00623879636978696277615764666263885000212894,167$
5Emilio PettersenX100.00573791586676865761585954586264525000222903,333$
6Mathias BromeX100.00403540403580904020404040302627115000281925,000$
7Keean WashkurakX100.00583982576775805663555853546163495000213835,000$
8Steven KampferX100.00403540403580904020404040303733115000343800,000$
9Tyler TuckerX100.00693466557875815330565351466264495000221775,000$
10Gianni FairbrotherX100.00644557547363605430575254466264665000223842,500$
TEAM AVERAGE100.0062387559688084585058575755606155470
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
1Gardien Bidon100.0040907040404040404035402525115100351600,000$
Scratches
TEAM AVERAGE100.004090704040404040403540252511510
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Caroline30303030303011CAN42240,000$


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 Force Waivers Contract 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 10Link
Alex TurcotteChicago Wolves (CAR)C212/26/2001No185 Lbs5 ft11NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Link
Arttu RuotsalainenChicago Wolves (CAR)C2410/29/1997No187 Lbs5 ft9NoNoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$Link
Cameron CrottyChicago Wolves (CAR)D235/5/1999No182 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Charles HudonChicago Wolves (CAR)LW286/23/1994No190 Lbs5 ft10YesNoNo4Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$1,750,000$Link
Daniel O'ReganChicago Wolves (CAR)C281/30/1994No180 Lbs5 ft9NoNoNo3Pro & Farm1,999,999$1,999,999$0$0$No1,999,999$1,999,999$Link
Emilio PettersenChicago Wolves (CAR)LW224/3/2000No170 Lbs5 ft11NoNoNo2Pro & Farm903,333$903,333$0$0$No903,333$Link
Gabriel DumontChicago Wolves (CAR)C/RW3110/6/1990No195 Lbs5 ft10YesNoNo4Pro & Farm1,999,999$1,999,999$0$0$No1,999,999$1,999,999$1,999,999$Link
Gardien BidonChicago Wolves (CAR)G351/20/1987 2:16:12 AMNo200 Lbs6 ft0NoNoNo1Pro & Farm600,000$600,000$0$0$No
Gianni FairbrotherChicago Wolves (CAR)D229/3/2000No192 Lbs6 ft0NoNoNo3Pro & Farm842,500$842,500$0$0$No842,500$842,500$Link
Hudson FaschingChicago Wolves (CAR)RW277/28/1995No204 Lbs6 ft3NoNoNo1Pro & Farm725,000$725,000$0$0$NoLink
Jonathan DavidssonChicago Wolves (CAR)RW253/12/1997Yes185 Lbs5 ft11NoNoNo3Pro & Farm787,500$787,500$0$0$No787,500$787,500$Link
Josh MahuraChicago Wolves (CAR)D245/5/1998No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink
Keean WashkurakChicago Wolves (CAR)C218/16/2001No184 Lbs5 ft10NoNoNo3Pro & Farm835,000$835,000$0$0$No835,000$835,000$Link
Kristian VesalainenChicago Wolves (CAR)LW/RW236/1/1999Yes207 Lbs6 ft3NoNoNo2Pro & Farm832,500$832,500$0$0$No832,500$Link
Lias AnderssonChicago Wolves (CAR)C/LW2310/13/1998No185 Lbs6 ft1NoNoNo1Pro & Farm1,199,999$1,199,999$0$0$NoLink
Lucas ElvenesChicago Wolves (CAR)C238/18/1999Yes173 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link
Marco RossiChicago Wolves (CAR)C219/23/2001No182 Lbs5 ft9NoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$Link
Mathias BromeChicago Wolves (CAR)LW287/29/1994No183 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink
Matthew HighmoreChicago Wolves (CAR)LW/RW262/27/1996No188 Lbs5 ft11NoNoNo2Pro & Farm817,500$817,500$0$0$No817,500$Link
Michael MerschChicago Wolves (CAR)LW2910/2/1992 1:20:21 PMNo213 Lbs6 ft2YesNoNo4Pro & Farm1,999,999$1,999,999$0$0$No1,999,999$1,999,999$1,999,999$Link
Nikita OkhotiukChicago Wolves (CAR)D2112/4/2000No195 Lbs6 ft1NoNoNo2Pro & Farm816,667$816,667$0$0$No816,667$Link
Pavel DorofeyevChicago Wolves (CAR)LW2110/26/2000No167 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Simon LundmarkChicago Wolves (CAR)D2110/8/2000No201 Lbs6 ft2NoNoNo2Pro & Farm850,833$850,833$0$0$No850,833$Link
Simon RyforsChicago Wolves (CAR)C258/16/1997No181 Lbs5 ft11NoNoNo4Pro & Farm842,500$842,500$0$0$No842,500$842,500$842,500$Link
Steven KampferChicago Wolves (CAR)D349/24/1988No198 Lbs5 ft11NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Link
Tommy CrossChicago Wolves (CAR)D349/14/1988No205 Lbs6 ft3YesNoNo4Pro & Farm1,999,999$1,999,999$0$0$No1,999,999$1,999,999$1,999,999$Link
Tyler TuckerChicago Wolves (CAR)D223/1/2000No203 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$NoLink
Victor SoderstromChicago Wolves (CAR)D212/26/2001No184 Lbs5 ft11NoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.11189 Lbs6 ft02.431,042,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
138122
230122
322122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
138122
230122
322122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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 %
000.00%000.00%000.00%
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 Price3010
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,918,000$ 1,809,904$ 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$ 14 0$ 0$




Chicago Wolves 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 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