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 : Max Arbour | Morale : 40 | Team Overall : 58

Team Leaders

Team Stats
Team Info

General ManagerMax Arbour
DivisionCentral
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team29
Farm Team20
Contract Limit49 / 250
Prospects36


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
1Nicolas DeslauriersX100.008963736581727163595355695982753340610352875,000$
2Bradly NadeauX100.006834836768816166505465566660617840590212886,667$
3Nikita PavlychevX100.008653715795747756655855595668704140590291750,000$
4Skyler Brind'AmourX100.006536716279866058615062696066674240590261750,000$
5Josiah SlavinX100.00593765608486605961505077556773414058N0271750,000$
6Juha JaaskaX100.006538756476736258606450565467683640570281775,000$
7Givani SmithX100.00744365578368615650525058536870614056N0281750,000$
8Gleb TrikozovX100.007238945781776256545255535861636840560211862,500$
9Ryan SuzukiX100.006535836574696062615050555664657740560251850,000$
10Evan VierlingX100.005936955768777256605859555764665640560241750,000$
11Blake BiondiX100.006537915474757052565153555264665940540241750,000$
12Cal FooteX100.00854187589466685730595462476870724062N0271750,000$
13Charles Alexis LegaultX100.006541626390846162306060645162635640610221915,833$
14Joel NystromX100.0057348466688666633068546249636448406002441,225,000$
15Domenick FensoreX100.006733716064906059305050774664656140590241850,000$
16Bryce Montgomery (R)X100.008347545692666854305350594564664840590231854,910$
17Dominik Badinka (R)X100.007140925580668654305352564661637740570203931,350$
Scratches
1Justin RobidasX100.0066338364667760635972675565626355406102300$
2Noah PhilpX100.0067378363837565627855565963676836405902700$
3Viktor NeuchevX100.0064379560738677596461575862636466405802200$
4Noel GunlerX100.0067407957767970566159585557646672405702400$
5David GagnonX100.006240755671636654585750535266684240540261750,000$
6Aleksi HeimosalmiX100.006238855871667056305554534662647440560231850,000$
7Kyle MastersX100.0055369356706365553054525345626460405502300$
8Ronan SeeleyX100.0050358350758660503050506343636448405402300$
TEAM AVERAGE100.00683980597776665849565560546566564058
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
1Brandon Bussi100.008869649087868887868887678157406702831,900,000$
2Amir Miftakhov (R)100.0071767372706971706971706675474057N0261750,000$
Scratches
1Cayden Primeau100.007574708474737574737574677758405902600$
2Nikita Quapp (R)100.0060726885595860595860596369494051N0231750,000$
TEAM AVERAGE100.0074736983737274737274736676534059
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
Aleksi HeimosalmiChicago Wolves (RDL)D232003-05-08FINNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-09FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Amir MiftakhovChicago Wolves (RDL)G262000-04-26RUSYes172 Lbs6 ft0YesNoDraftNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Blake BiondiChicago Wolves (RDL)C242002-04-24USANo197 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Bradly NadeauChicago Wolves (RDL)LW212005-05-05CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo22026-04-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Link / NHL Link
Brandon BussiChicago Wolves (RDL)G281998-06-25USANo218 Lbs6 ft4NoNoAssign ManuallyNoNo32026-04-15FalseFalsePro & Farm1,900,000$0$0$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------Link / NHL Link
Bryce MontgomeryChicago Wolves (RDL)D232002-11-12USAYes230 Lbs6 ft4NoNoDraftNoNo12026-05-25FalseFalsePro & Farm854,910$0$0$No---------------------------Link / NHL Link
Cal FooteChicago Wolves (RDL)D271998-12-13CANNo224 Lbs6 ft5YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Cayden PrimeauChicago Wolves (RDL)G261999-08-11USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Charles Alexis LegaultChicago Wolves (RDL)D222003-09-05CANNo220 Lbs6 ft4NoNoDraftNoNo12026-04-29FalseFalsePro & Farm915,833$0$0$No---------------------------Link / NHL Link
David GagnonChicago Wolves (RDL)LW262000-04-19CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Domenick FensoreChicago Wolves (RDL)D242001-09-07USANo175 Lbs5 ft9NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Dominik BadinkaChicago Wolves (RDL)D202005-11-27CZEYes183 Lbs6 ft3NoNoDraftNoNo32026-05-25FalseFalsePro & Farm931,350$0$0$No931,350$931,350$-------931,350$931,350$-------NoNo-------Link / NHL Link
Evan VierlingChicago Wolves (RDL)C242002-06-20CANNo167 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Givani SmithChicago Wolves (RDL)LW281998-02-27CANNo214 Lbs6 ft2YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Gleb TrikozovChicago Wolves (RDL)LW212004-08-12RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-15FalseFalsePro & Farm862,500$0$0$No---------------------------Link / NHL Link
Joel NystromChicago Wolves (RDL)D242002-05-14SWENo178 Lbs5 ft11NoNoDraftNoNo42026-04-29FalseFalsePro & Farm1,225,000$0$0$No1,225,000$1,225,000$1,225,000$------1,225,000$1,225,000$1,225,000$------NoNoNo------Link / NHL Link
Josiah SlavinChicago Wolves (RDL)LW271998-12-31USANo205 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Juha JaaskaChicago Wolves (RDL)LW281998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Justin RobidasChicago Wolves (RDL)C232003-03-13CANNo176 Lbs5 ft8NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Kyle MastersChicago Wolves (RDL)D232003-04-09CANNo177 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Nicolas DeslauriersChicago Wolves (RDL)LW351991-02-22CANNo218 Lbs6 ft1NoNoAssign ManuallyNoNo22026-06-20FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Nikita PavlychevChicago Wolves (RDL)C291997-03-23RUSNo200 Lbs6 ft7NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Nikita QuappChicago Wolves (RDL)G232003-01-25DEUYes207 Lbs6 ft3YesNoDraftNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Noah PhilpChicago Wolves (RDL)C271998-08-31CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Noel GunlerChicago Wolves (RDL)RW242001-10-07SWENo176 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Ronan SeeleyChicago Wolves (RDL)D232002-08-02CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Ryan SuzukiChicago Wolves (RDL)C252001-05-28CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Skyler Brind'AmourChicago Wolves (RDL)C261999-07-27USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Viktor NeuchevChicago Wolves (RDL)RW222003-10-25RUSNo165 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2924.90195 Lbs6 ft11.07664,699$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas DeslauriersSkyler Brind'AmourJuha Jaaska40122
2Bradly NadeauNikita PavlychevGivani Smith30122
3Josiah SlavinEvan VierlingGleb Trikozov20122
4Juha JaaskaRyan SuzukiNicolas Deslauriers10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteCharles Alexis Legault40122
2Joel NystromBryce Montgomery30122
3Domenick FensoreDominik Badinka20122
4Cal FooteCharles Alexis Legault10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas DeslauriersSkyler Brind'AmourJuha Jaaska60122
2Bradly NadeauNikita PavlychevGivani Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromBryce Montgomery40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nicolas DeslauriersBradly Nadeau60122
2Skyler Brind'AmourNikita Pavlychev40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromBryce Montgomery40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nicolas Deslauriers60122Cal FooteCharles Alexis Legault60122
2Bradly Nadeau40122Joel NystromBryce Montgomery40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nicolas DeslauriersBradly Nadeau60122
2Skyler Brind'AmourNikita Pavlychev40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromBryce Montgomery40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersSkyler Brind'AmourJuha JaaskaCal FooteCharles Alexis Legault
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersSkyler Brind'AmourJuha JaaskaCal FooteCharles Alexis Legault
Extra Forwards
Normal PowerPlayPenalty Kill
Blake Biondi, Josiah Slavin, Evan VierlingBlake Biondi, Josiah SlavinEvan Vierling
Extra Defensemen
Normal PowerPlayPenalty Kill
Domenick Fensore, Dominik Badinka, Joel NystromDomenick FensoreDominik Badinka, Joel Nystrom
Penalty Shots
Nicolas Deslauriers, Bradly Nadeau, Skyler Brind'Amour, Nikita Pavlychev, Josiah Slavin
Goalie
#1 : Brandon Bussi, #2 : Amir Miftakhov


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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,927,626$ 1,927,626$ 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