Login

Chicago Wolves
GP: 17 | W: 11 | L: 6
GF: 35 | GA: 20 | PP%: 14.71% | PK%: 96.67%
GM : Yannick Masse | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Utica Comets
14-7-0, 28pts
0
FINAL
2 Chicago Wolves
11-6-0, 22pts
Team Stats
L1StreakL1
8-3-0Home Record6-2-0
6-4-0Home Record5-4-0
5-3-2Last 10 Games6-3-1
1.86Goals Per Game2.06
1.48Goals Against Per Game1.18
4.65%Power Play Percentage14.71%
89.01%Penalty Kill Percentage96.67%
Chicago Wolves
11-6-0, 22pts
0
FINAL
1 Utica Comets
14-7-0, 28pts
Team Stats
L1StreakL1
6-2-0Home Record8-3-0
5-4-0Home Record6-4-0
6-3-1Last 10 Games5-3-2
2.06Goals Per Game1.86
1.18Goals Against Per Game1.48
14.71%Power Play Percentage4.65%
96.67%Penalty Kill Percentage89.01%
Team Leaders
Goals
Jakob Pelletier
6
Assists
Victor Soderstrom
8
Points
Jakob Pelletier
11
Plus/Minus
Jakob Pelletier
6
Wins
Louis Domingue
11
Save Percentage
Louis Domingue
0.922

Team Stats
Goals For
35
2.06 GFG
Shots For
397
23.35 Avg
Power Play Percentage
14.7%
10 GF
Offensive Zone Start
48.7%
Goals Against
20
1.18 GAA
Shots Against
255
15.00 Avg
Penalty Kill Percentage
96.7%%
2 GA
Defensive Zone Start
33.7%
Team Info

General ManagerYannick Masse
CoachCaroline
DivisionSOUTHEAST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team28
Farm Team18
Contract Limit46 / 250
Prospects34


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
1Gabriel DumontXX100.006040706569888462706364596273783440003231,999,999$
2Charles HudonX100.006937786568898566676064596769714750002931,750,000$
3Michael MerschX100.007440826483828363676463626671764744003031,999,999$
4Hudson FaschingX100.00733992658481846357626661636869493700281750,000$
5Lias AnderssonXX100.00673882647491776574616660636567845000242750,000$
6Alex TurcotteX100.00603880646976726266585960656264885000221894,167$
7Emilio PettersenX100.00573885626681826163626156626465495000231903,333$
8Pavel DorofeyevX100.00644080667684816462616859666365645000221925,000$
9Jakob Pelletier (R)X100.00623788676388836660676862696263804100222832,500$
10Simon RyforsX100.00603787646984876371646258636668425000263842,500$
11Steven KampferX100.00633979597276705830625557487577325000352800,000$
12Simon BenoitX100.00904980638488856130645677486567421700253842,500$
13Robin SaloX100.00663988687882806430676261526567714400243842,500$
14Nikita OkhotiukX100.00794370637680786230606461526364675000221816,667$
15Victor SoderstromX100.00603879666985836530675861506264855000221863,333$
16Zac Jones (R)X100.00573785666684856530645963506364665000222925,000$
Scratches
1Daniel O'ReganX100.004035404035809040204040403025251150002921,999,999$
2Alex FormentonX100.00403540403580904020404040302525113700241750,000$
3Kristian Vesalainen (R)XX100.00403540403580904020404040302525115000241832,500$
4Lucas Elvenes (R)X100.00403540403580904020404040302525115000241750,000$
5Jonathan Davidsson (R)X100.00403540403580904020404040302525115000262787,500$
6Arttu RuotsalainenX100.00403540403580904020404040302525115000253925,000$
7Keean WashkurakX100.00583975566775805561535952576264495000222835,000$
8Tommy CrossX100.007543695684727555305852574674794150003531,999,999$
9Cameron CrottyX100.00713986548068855330545256456466635000241925,000$
10Gianni FairbrotherX100.00403540403580904020404040302525115000232842,500$
11Simon LundmarkX100.00723992558166825430565355456365715000221850,833$
TEAM AVERAGE100.0060387157648183564256555550555746470
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
1Louis Domingue100.00578568855863636464557473859936003111,150,000$
Scratches
TEAM AVERAGE100.005785688558636364645574738599360
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Caroline30303030303011CAN43140,000$


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
1Jakob PelletierChicago Wolves (CAR)LW176511620151850122912.00%645426.732027520002591045.83%2400000.4800000221
2Gabriel DumontChicago Wolves (CAR)C/RW1737102951628376248.11%233419.66033558000071061.49%32200000.6000010120
3Hudson FaschingChicago Wolves (CAR)RW17549212012153593214.29%236421.463144600001292054.35%4600000.4900000100
4Victor SoderstromChicago Wolves (CAR)D1718951001915156166.67%736221.331121353000049000%000000.5000000021
5Zac JonesChicago Wolves (CAR)D1717851001915174115.88%836121.270111152000048100%000000.4400000012
6Michael MerschChicago Wolves (CAR)LW17437228036214611348.70%243325.512137560001471055.21%9600000.3200000102
7Pavel DorofeyevChicago Wolves (CAR)LW17437411523204413329.09%638422.6102211520000292065.00%2000000.3600001210
8Charles HudonChicago Wolves (CAR)LW173361801822407227.50%024214.2401115000003040.00%500000.5000000010
9Nikita OkhotiukChicago Wolves (CAR)D17066316031108330%825715.160002400000000%000000.4700000001
10Simon BenoitChicago Wolves (CAR)D17055-124104514168100%1441224.280331462000049000%000000.2400101000
11Alex TurcotteChicago Wolves (CAR)C173251208252321013.04%122113.0500000000000057.32%16400000.4500000001
12Lias AnderssonChicago Wolves (CAR)C/LW172245402223214249.52%224514.46011854000000062.99%25400000.3300000000
13Robin SaloChicago Wolves (CAR)D17224-12016172811.76%736421.452241262000056010%000000.2200000020
14Simon RyforsChicago Wolves (CAR)C17123-10031819295.26%117110.08000020000360065.73%14300000.3500000000
15Tommy CrossChicago Wolves (CAR)D1302231401583130%1120215.6100000000013000%000000.2000000000
16Emilio PettersenChicago Wolves (CAR)LW17011-220295170%217110.090000110000150062.50%1600000.1200000000
17Steven KampferChicago Wolves (CAR)D17000200021000%1784.590000100005000%00000000000000
Team Total or Average2853562973615420285269397912748.82%80506417.7710162695590000444811160.55%109000000.38001127118
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
1Louis DomingueChicago Wolves (CAR)1711510.9221.141050042025501000170201
Team Total or Average1711510.9221.14105004202550100170201


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 Contrat Signature Date 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 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
Alex FormentonChicago Wolves (CAR)LW249/13/1999No195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Alex TurcotteChicago Wolves (CAR)C222/26/2001No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm894,167$0$0$No------------------Link
Arttu RuotsalainenChicago Wolves (CAR)C2510/29/1997No187 Lbs5 ft9NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Link
Cameron CrottyChicago Wolves (CAR)D245/5/1999No182 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Charles HudonChicago Wolves (CAR)LW296/23/1994No190 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------NoNo-------Link
Daniel O'ReganChicago Wolves (CAR)C291/30/1994No180 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,999,999$0$0$No1,999,999$--------No--------Link
Emilio PettersenChicago Wolves (CAR)LW234/3/2000No170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm903,333$0$0$No------------------Link
Gabriel DumontChicago Wolves (CAR)C/RW3210/6/1990No195 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Link
Gianni FairbrotherChicago Wolves (CAR)D239/3/2000No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Link
Hudson FaschingChicago Wolves (CAR)RW287/28/1995No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Jakob PelletierChicago Wolves (CAR)LW223/7/2001Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm832,500$0$0$No832,500$--------No--------Link
Jonathan DavidssonChicago Wolves (CAR)RW263/12/1997Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm787,500$0$0$No787,500$--------No--------Link
Keean WashkurakChicago Wolves (CAR)C228/16/2001No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm835,000$0$0$No835,000$--------No--------Link
Kristian VesalainenChicago Wolves (CAR)LW/RW246/1/1999Yes207 Lbs6 ft3NoNoN/ANoNo1Pro & Farm832,500$0$0$No------------------Link
Lias AnderssonChicago Wolves (CAR)C/LW2410/13/1998No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Link
Louis DomingueChicago Wolves (CAR)G313/6/1992No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,150,000$0$0$No------------------Link
Lucas ElvenesChicago Wolves (CAR)C248/18/1999Yes173 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Link
Michael MerschChicago Wolves (CAR)LW3010/2/1992 1:20:21 PMNo213 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Link
Nikita OkhotiukChicago Wolves (CAR)D2212/4/2000No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm816,667$0$0$No------------------Link
Pavel DorofeyevChicago Wolves (CAR)LW2210/26/2000No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Link
Robin SaloChicago Wolves (CAR)D2410/13/1998 2:16:42 AMNo190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Link
Simon BenoitChicago Wolves (CAR)D259/19/1998No203 Lbs6 ft3NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Link
Simon LundmarkChicago Wolves (CAR)D2210/8/2000No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,833$0$0$No------------------Link
Simon RyforsChicago Wolves (CAR)C268/16/1997No181 Lbs5 ft11NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Link
Steven KampferChicago Wolves (CAR)D359/24/1988No198 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Link
Tommy CrossChicago Wolves (CAR)D359/14/1988No205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Link
Victor SoderstromChicago Wolves (CAR)D222/26/2001No184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------Link
Zac JonesChicago Wolves (CAR)D2210/18/2000Yes178 Lbs5 ft10NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.61191 Lbs6 ft01.861,049,494$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael MerschGabriel DumontHudson Fasching38122
2Jakob PelletierLias AnderssonPavel Dorofeyev30122
3Pavel DorofeyevSimon RyforsMichael Mersch22122
4Charles HudonAlex TurcotteJakob Pelletier10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon BenoitRobin Salo38122
2Zac JonesVictor Soderstrom30122
3Nikita Okhotiuk22122
4Steven KampferSimon Benoit10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael MerschGabriel DumontHudson Fasching60122
2Jakob PelletierLias AnderssonPavel Dorofeyev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael MerschJakob Pelletier60122
2Hudson FaschingPavel Dorofeyev40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Mersch60122Simon BenoitRobin Salo60122
2Jakob Pelletier40122Zac JonesVictor Soderstrom40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael MerschJakob Pelletier60122
2Hudson FaschingPavel Dorofeyev40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael MerschGabriel DumontHudson FaschingSimon BenoitRobin Salo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael MerschGabriel DumontHudson FaschingSimon BenoitRobin Salo
Extra Forwards
Normal PowerPlayPenalty Kill
Emilio Pettersen, Charles Hudon, Simon RyforsEmilio Pettersen, Charles HudonSimon Ryfors
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Okhotiuk, , Steven KampferNikita Okhotiuk, Steven Kampfer
Penalty Shots
Michael Mersch, Jakob Pelletier, Hudson Fasching, Pavel Dorofeyev, Gabriel Dumont
Goalie
#1 : Louis Domingue, #2 :


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
1Charlotte Checkers440000001046220000004222200000062481.00010172701813131108118129136144011366114321.43%13284.62%031453159.13%23936765.12%10719255.73%502374349111199108
2Utica Comets734000001394321000007344130000066060.4291324370181313118511812913614121385613132515.63%240100.00%031453159.13%23936765.12%10719255.73%502374349111199108
3Wilkes-Barre/Scranton Penguins642000001275321000008623210000041380.6671221330281313110411812913614943162932229.09%230100.00%031453159.13%23936765.12%10719255.73%502374349111199108
Total17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108
_Since Last GM Reset17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108
_Vs Conference17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1722L13562973972558015428504
All Games
GPWLOTWOTL SOWSOLGFGA
1711600003520
Home Games
GPWLOTWOTL SOWSOLGFGA
86200001911
Visitor Games
GPWLOTWOTL SOWSOLGFGA
9540000169
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
681014.71%60296.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11812913614813131
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
31453159.13%23936765.12%10719255.73%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
502374349111199108


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
12Chicago Wolves4Charlotte Checkers1AWBoxScore
310Chicago Wolves2Charlotte Checkers1AWBoxScore
518Charlotte Checkers2Chicago Wolves3BWXBoxScore
726Charlotte Checkers0Chicago Wolves1BWBoxScore
1557Chicago Wolves3Wilkes-Barre/Scranton Penguins0AWBoxScore
1761Chicago Wolves0Wilkes-Barre/Scranton Penguins1ALBoxScore
1965Wilkes-Barre/Scranton Penguins3Chicago Wolves1BLBoxScore
2169Wilkes-Barre/Scranton Penguins1Chicago Wolves3BWBoxScore
2373Chicago Wolves1Wilkes-Barre/Scranton Penguins0AWBoxScore
2577Wilkes-Barre/Scranton Penguins2Chicago Wolves4BWBoxScore
2985Chicago Wolves2Utica Comets3ALXBoxScore
3187Chicago Wolves4Utica Comets1AWBoxScore
3389Utica Comets2Chicago Wolves5BWBoxScore
3591Utica Comets1Chicago Wolves0BLBoxScore
3793Chicago Wolves0Utica Comets1ALBoxScore
3995Utica Comets0Chicago Wolves2BWBoxScore
4197Chicago Wolves0Utica Comets1ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3010
Attendance16,0008,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
28 3000 - 100.00% 82,600$660,800$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,938,583$ 1,889,500$ 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