Login

Chicago Wolves
GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8
GF: 36 | GA: 40 | PP%: 29.63% | PK%: 68.97%
GM : Camil Costandi | Morale : 49 | Team Overall : 56
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Philadelphia Phantoms
5-3-2, 12pts
4
FINAL
1 Chicago Wolves
4-6-0, 8pts
Team Stats
L1StreakL3
2-1-2Home Record2-3-0
3-2-0Away Record2-3-0
5-3-2Last 10 Games4-6-0
4.20Goals Per Game3.60
3.50Goals Against Per Game4.00
46.67%Power Play Percentage29.63%
69.57%Penalty Kill Percentage68.97%
Chicago Wolves
4-6-0, 8pts
2
FINAL
4 Chicoutimi Sagueneens
9-1-0, 18pts
Team Stats
L3StreakW4
2-3-0Home Record5-0-0
2-3-0Away Record4-1-0
4-6-0Last 10 Games9-1-0
3.60Goals Per Game5.00
4.00Goals Against Per Game2.80
29.63%Power Play Percentage32.35%
68.97%Penalty Kill Percentage54.55%
Team Leaders
Goals
Adam Johnson
2
Assists
Adam Johnson
2
Points
Adam Johnson
4
Plus/Minus
Adam Johnson
2
Wins
Kyle Keyser
3
Save Percentage
Michael McNiven
0.947

Team Stats
Goals For
36
3.60 GFG
Shots For
284
28.40 Avg
Power Play Percentage
29.6%
8 GF
Offensive Zone Start
31.6%
Goals Against
40
4.00 GAA
Shots Against
346
34.60 Avg
Penalty Kill Percentage
69.0%
9 GA
Defensive Zone Start
38.7%
Team Info

General ManagerCamil Costandi
CoachKevin Dean
DivisionMarcel Dionne
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team21
Farm Team22
Contract Limit43 / 55
Prospects32


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
1Tyson Foerster (R)X100.007572815872656663795667646444446548590193894,167$
2Vitaly Kravtsov (R)XX100.006342936571626060256059632545456142570213925,000$
3Hudson FaschingX100.007774856574555556506244664253535751570251750,000$
4Adam Helewka (R)X100.008176946876575857505950664844446047570251750,000$
5Andrew OglevieX100.006763776363575761765761605844446151570261750,000$
6Buddy RobinsonX100.008146996688475457355055527556575750560291750,000$
7Daniel CarrXX100.006941847868535550244856542560605950550291750,000$
8Cole Smith (R)X100.007874875874565656505058645544445951550251792,500$
9William Lockwood (R)X100.007063866063565658505656615344445951550231925,000$
10Cody McLeodXX100.006175296175535551504346634480825050540371750,000$
11Brett GallantX100.006270426370515348503850574855555048510321750,000$
12Simon BenoitX100.007973926473707747253840623844445451580221925,000$
13Kevin CzuczmanX100.008276956676576046253739643746465251570301750,000$
14Ian McCoshenX100.007680686080555752254939643750505347570251750,000$
15Cavan FitzgeraldX100.007671886571545651254442644054545452570242750,000$
16Josh BrookX100.007171726971677152254941603944445437570221910,833$
17Linus Hogberg (R)X100.007566976566596249254141613944445351560221900,000$
18Oskari Laaksonen (R)X100.007264926164606254255341613944445551560212925,000$
Scratches
TEAM AVERAGE100.00736781647257595440494961455050564956
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
1Michael McNiven (R)100.00525467775054575955553044445451550231750,000$
2Kyle Keyser (R)100.00544759695755545956553044445451550222733,333$
Scratches
1Devin Cooley (R)100.00474354834847505349493044444940510242785,000$
TEAM AVERAGE100.0051486076525254575353304444524754
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dean67797063787371USA52160,000$


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
1Tyson FoersterChicago Wolves (QUE)C106814-12155193643133113.95%824524.591234190003200063.39%29556001.1400010001
2Andrew OglevieChicago Wolves (QUE)RW104711-540181221152419.05%620620.621231190001100042.86%763001.0700000000
3Hudson FaschingChicago Wolves (QUE)RW103710-1209183219219.38%520320.33101418011090061.29%31104000.9800000110
4Vitaly KravtsovChicago Wolves (QUE)LW/RW9347-6006626111211.54%917319.25123518000020033.33%1248000.8101000001
5Cole SmithChicago Wolves (QUE)LW103475001714185716.67%417417.45011111101130042.86%742000.8000000000
6Daniel CarrChicago Wolves (QUE)LW/RW551652015195626.32%16012.150000000000000.00%132001.9700000010
7Adam HelewkaChicago Wolves (QUE)LW5336-2204102021015.00%59619.4021326000000054.24%5923001.2400000100
8Adam JohnsonNordiquesC/LW3224220341711311.76%06722.6100004000051077.78%941001.1800000010
9Simon BenoitChicago Wolves (QUE)D10044-8201420181280.00%2226326.33022126000124000.00%1611000.3000000000
10William LockwoodChicago Wolves (QUE)RW1004402091010370.00%514814.87011112000000052.86%7031000.5400000000
11Oskari LaaksonenChicago Wolves (QUE)D10033-3006122220.00%513213.2800002000030025.00%415000.4500000000
12Cody McLeodChicago Wolves (QUE)LW/RW520234043201100.00%1295.8200000000021133.33%300001.3700000001
13Kevin CzuczmanChicago Wolves (QUE)D101124101011761516.67%1218718.79000014000014000.00%038000.2100110000
14Buddy RobinsonChicago Wolves (QUE)RW5022000437340.00%15110.3900000000090020.00%1001000.7700000000
15Cavan FitzgeraldChicago Wolves (QUE)D1011209571190111.11%1016216.2310111000004100.00%416000.2500001000
16Martin FehervaryNordiquesD3011040624120.00%97123.840000600005000.00%013000.2800000000
17Linus HogbergChicago Wolves (QUE)D10011-100583130.00%812012.10000010000400100.00%114000.1700000000
18Ian McCoshenChicago Wolves (QUE)D5000040221300.00%15410.810000000003000.00%002000.0000000000
19Josh BrookChicago Wolves (QUE)D90003155141615530.00%1218921.09000014000011000.00%136000.0000010000
Team Total or Average149335386-16772515919927310216012.09%124264117.73711182018811261373157.67%5155776000.6501131233
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
1Kyle KeyserChicago Wolves (QUE)103600.8774.245380038308185000.0000100010
2Michael McNivenChicago Wolves (QUE)21000.9472.00600023819000.0000010000
Team Total or Average124600.8844.015990040346204000.00001010010


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 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
Adam HelewkaChicago Wolves (QUE)LW251995-07-20Yes205 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink
Andrew OglevieChicago Wolves (QUE)RW261995-02-15No176 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLink
Brett GallantChicago Wolves (QUE)LW321988-12-27No191 Lbs6 ft0YesNoNo1Pro & Farm750,000$0$0$NoLink
Buddy RobinsonChicago Wolves (QUE)RW291991-09-29No232 Lbs6 ft6YesNoNo1Pro & Farm750,000$0$0$NoLink
Cavan FitzgeraldChicago Wolves (QUE)D241996-08-22No190 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Cody McLeodChicago Wolves (QUE)LW/RW371984-06-26No204 Lbs6 ft2YesNoNo1Pro & Farm750,000$0$0$NoLink
Cole SmithChicago Wolves (QUE)LW251995-10-28Yes195 Lbs6 ft3NoNoNo1Pro & Farm792,500$0$0$NoLink
Daniel CarrChicago Wolves (QUE)LW/RW291991-11-01No186 Lbs6 ft0YesNoNo1Pro & Farm750,000$0$0$NoLink
Devin CooleyChicago Wolves (QUE)G241997-05-24Yes192 Lbs6 ft5NoNoNo2Pro & Farm785,000$0$0$No785,000$Link
Hudson FaschingChicago Wolves (QUE)RW251995-07-28No204 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink
Ian McCoshenChicago Wolves (QUE)D251995-08-05No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink
Josh BrookChicago Wolves (QUE)D221999-06-17No192 Lbs6 ft1NoNoNo1Pro & Farm910,833$0$0$NoLink
Kevin CzuczmanChicago Wolves (QUE)D301991-01-09No206 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink
Kyle KeyserChicago Wolves (QUE)G221999-03-08Yes178 Lbs6 ft2NoNoNo2Pro & Farm733,333$0$0$No733,333$Link
Linus HogbergChicago Wolves (QUE)D221998-09-04Yes176 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Michael McNivenChicago Wolves (QUE)G231997-07-08Yes203 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink
Oskari LaaksonenChicago Wolves (QUE)D211999-07-02Yes165 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
Simon BenoitChicago Wolves (QUE)D221998-09-19No191 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLink
Tyson FoersterChicago Wolves (QUE)C192002-01-18Yes194 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Vitaly KravtsovChicago Wolves (QUE)LW/RW211999-12-23Yes189 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
William LockwoodChicago Wolves (QUE)RW231998-06-20Yes172 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2125.05193 Lbs6 ft21.38807,897$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson FoersterHudson Fasching40122
2Adam HelewkaAndrew Oglevie30122
3Adam HelewkaTyson FoersterBuddy Robinson20122
4Cole SmithDaniel Carr10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon Benoit40122
2Kevin CzuczmanJosh Brook30122
3Cavan FitzgeraldIan McCoshen20122
4Oskari LaaksonenLinus Hogberg10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson FoersterHudson Fasching60122
2Adam HelewkaAndrew Oglevie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon Benoit60122
2Kevin CzuczmanJosh Brook40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyson Foerster60122
2Hudson FaschingAndrew Oglevie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon Benoit60122
2Kevin CzuczmanJosh Brook40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tyson Foerster60122Simon Benoit60122
240122Kevin CzuczmanJosh Brook40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tyson Foerster60122
2Hudson FaschingAndrew Oglevie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon Benoit60122
2Kevin CzuczmanJosh Brook40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyson FoersterHudson FaschingSimon Benoit
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyson FoersterHudson FaschingSimon Benoit
Extra Forwards
Normal PowerPlayPenalty Kill
William Lockwood, Cody McLeod, Buddy RobinsonWilliam Lockwood, Cody McLeodBuddy Robinson
Extra Defensemen
Normal PowerPlayPenalty Kill
Cavan Fitzgerald, Ian McCoshen, Oskari LaaksonenCavan FitzgeraldIan McCoshen, Oskari Laaksonen
Penalty Shots
Tyson Foerster, , Hudson Fasching, Andrew Oglevie,
Goalie
#1 : , #2 : Michael McNiven


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
1Bridgeport Sound Tigers21001000972100010005411100000043141.00091625001014111519589964572819348225.00%7357.14%08316849.40%11420655.34%10315865.19%1888820895203108
2Chicoutimi Sagueneens30300000713-61010000013-220200000610-400.0007121900101411111095899641134335466233.33%10280.00%08316849.40%11420655.34%10315865.19%1888820895203108
3Grand Rapids Griffins220000001587110000009361100000065141.000152338001014111569589964592111359333.33%30100.00%08316849.40%11420655.34%10315865.19%1888820895203108
4Philadelphia Phantoms30300000512-720200000410-61010000012-100.00058130010141116795899641173816574125.00%9455.56%18316849.40%11420655.34%10315865.19%1888820895203108
Total1036010003640-4513010001920-1523000001720-380.40036599500101411128495899643461308117227829.63%29968.97%18316849.40%11420655.34%10315865.19%1888820895203108
_Since Last GM Reset1036010003640-4513010001920-1523000001720-380.40036599500101411128495899643461308117227829.63%29968.97%18316849.40%11420655.34%10315865.19%1888820895203108
_Vs Conference1036010003640-4513010001920-1523000001720-380.40036599500101411128495899643461308117227829.63%29968.97%18316849.40%11420655.34%10315865.19%1888820895203108

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
108L33659952843461308117200
All Games
GPWLOTWOTL SOWSOLGFGA
103610003640
Home Games
GPWLOTWOTL SOWSOLGFGA
51310001920
Visitor Games
GPWLOTWOTL SOWSOLGFGA
52300001720
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
27829.63%29968.97%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
95899641014111
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8316849.40%11420655.34%10315865.19%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1888820895203108


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 - 2021-09-1313Chicago Wolves1Philadelphia Phantoms2ALBoxScore
2 - 2021-09-1418Philadelphia Phantoms6Chicago Wolves3BLBoxScore
3 - 2021-09-1537Chicoutimi Sagueneens3Chicago Wolves1BLBoxScore
4 - 2021-09-1653Chicago Wolves6Grand Rapids Griffins5AWBoxScore
6 - 2021-09-1876Chicago Wolves4Bridgeport Sound Tigers3AWBoxScore
7 - 2021-09-1988Grand Rapids Griffins3Chicago Wolves9BWBoxScore
9 - 2021-09-21112Bridgeport Sound Tigers4Chicago Wolves5BWXBoxScore
10 - 2021-09-22125Chicago Wolves4Chicoutimi Sagueneens6ALBoxScore
11 - 2021-09-23140Philadelphia Phantoms4Chicago Wolves1BLBoxScore
12 - 2021-09-24146Chicago Wolves2Chicoutimi Sagueneens4ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2510
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,696,583$ 1,629,083$ 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 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