Wolves

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 19 | GA: 19 | PP%: 15.38% | PK%: 83.87%
GM : Yves Ayotte | Morale : 75 | Team Overall : 60
Next Games #53 vs Stars

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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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 SP
1Drake Caggiula0XXX100.00643881686690766470656268637072075650
2Saku Maenalanen (R)0X100.00773892658976716255605975616869075650
3Gage Quinney0XX100.00633791667291796369666462656870075650
4Mathieu Olivier (R)0XX100.00898465648178836356625869606667075640
5Matej Blumel (R)0XX100.00653795667487716566606359646563075630
6Jakub Lauko (R)0X100.00714369657478816463606359626465075630
7Sampo Ranta (R)0XX100.00693884627983815957585962586365075620
8Daniel Torgersson (R)0XX100.00743994588380735758556160596163075610
9John Beecher (R)0XX100.00764085598579725863575860566264075610
10Milos Kelemen0XX100.00734074608277735962585960646566075610
11Jonathan Gruden (R)0X100.00653971606975855965586057606365075610
12Josh Doan (R)0X100.00653695597487615861575956596163075600
13Matt Rempe0X100.00904861549971695357525561546163075600
14Dino Kambeitz0XX100.00744083558374815457565658556365075600
15Vincent Desharnais (R)0X100.00817973639580816230645873496769075650
16Urho Vaakanainen0X100.00693788658086746330655864506466075640
17Brandon Scanlin0X100.00804087558965735230545358466466075600
18Matt Bartkowski0X100.00694079547871865330555256457577075600
19Chad Nychuk0X100.00673695567664615530605056456264075590
Scratches
1Riley Sutter (R)0X100.00794278538870805259535458536466075590
2Isaac Johnson0XX100.00683895547774635357545556536466075590
3Donald Busdeker (R)0X100.00573974566672825558575453596466075580
4Max Ellis0X100.00603588556085695458555652536365075580
5Ty Glover0XX100.00743891548374695361525456525860075580
6Samuel Houde0X100.00603882556971755462555653546365075580
7Andrei Bakanov0X100.00774090518667625052515056506163075570
8Jaydon Dureau0X100.00583695556764625458525751556264075570
9Navrin Mutter0X100.00724465538165695258535456536264075570
10Matej Pekar (R)0XX100.00653972547473705362555154526365075570
11Reece Vitelli0X100.00593695526869615152535450536264075560
12Tyson Kozak0X100.00583977546771695258535451536163075560
13Nick Seeler0X90.24765777648183826230675775497170075650
14Luke Martin (R)0X100.00754081558470655430575258466567075590
15Vincent Sevigny0X100.00693983567864695530575456466264075590
16Calle Sjalin0X100.00643982547370665330525654466466075580
17Jack St. Ivany0X100.00744083568365715230545057456466075580
18Layton Ahac (R)0X100.00693989557864725230535154456264075580
19Andrew Perrott0X100.00654078537471615230535452456264075570
20Luka Profaca0X100.00704272527962685130535254456163075570
TEAM AVERAGE99.7570428258787472565057565853646607560
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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 SP
1Michael Hutchinson100.0073697084727173727173727587075650
2Jiri Patera (R)100.0074656682737274737274736471075640
Scratches
1Ryan Bednard (R)100.0067555691666567666768666575075610
2Pavel Cajan100.0066626376656466656466656165075590
TEAM AVERAGE100.007063648369687069697069667507562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Wroblewski66627469625885USA422900,000$


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
1Nick SeelerWolves (CAR)D6167-120131391511.11%912320.5601139011123100.00%000001.1300000110
2Mathieu OlivierWolves (CAR)LW/RW624636017111651512.50%211719.590004100110191060.00%500001.0200000101
3Urho VaakanainenWolves (CAR)D6066-100101010380.00%1313121.99011510000029000.00%000000.9100000000
4Gage QuinneyWolves (CAR)C/LW6426020772831514.29%011819.701013102024160056.67%3000001.0200000100
5Drake CaggiulaWolves (CAR)C/LW/RW6213-2205161661412.50%613422.490112100001310046.05%21500000.4400000001
6Luke MartinWolves (CAR)D603361401751030.00%1010217.1000011000012000.00%000000.5800000010
7Matej BlumelWolves (CAR)LW/RW630310008135823.08%09616.080003110000010100.00%500000.6200000000
8Milos KelemenWolves (CAR)LW/RW621322066105620.00%17512.5100000000000180.00%500000.8000000001
9Jakub LaukoWolves (CAR)C612314011112398.33%08113.5700039000000051.72%11600000.7400000000
10Sampo RantaWolves (CAR)LW/RW603322046164120.00%48414.1600012000000029.17%2400000.7100000000
11Vincent DesharnaisWolves (CAR)D6213-1140176114318.18%1313923.25101210011120000.00%000100.4300000000
12Saku MaenalanenWolves (CAR)RW6022-2209141613120.00%413121.86000390001300046.15%1300000.3000000000
13Matt BartkowskiWolves (CAR)D6022420721250.00%89616.120000000000000.00%000000.4100000000
14Daniel TorgerssonWolves (CAR)LW/RW6011000514210.00%0325.360000000000000.00%100000.6200000000
15John BeecherWolves (CAR)C/LW610122041476714.29%17612.8200000000020043.68%8700000.2600000000
16Jonathan GrudenWolves (CAR)LW61010003641225.00%0457.5200000000090053.33%1500000.4400000000
17Brandon ScanlinWolves (CAR)D6000-1801531030.00%612220.49000110000022000.00%000000.0000000000
18Dino KambeitzWolves (CAR)C/RW6000020231010.00%0315.2600000000000048.72%3900000.0000000000
Team Total or Average108193453136401421421766312910.80%77174216.142353110723582183147.93%55500100.6100000323
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
1Michael HutchinsonWolves (CAR)63300.9133.1835900192180000.000060020
Team Total or Average63300.9133.1835900192180000.000060020


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Andrei BakanovLW215/8/2002No214 Lbs6 ft3NoNoNo2ELCPro & Farm825,000$0$0$NoLink / NHL Link
Andrew PerrottD228/24/2001No217 Lbs5 ft10NoNoNo2ELCPro & Farm825,000$0$0$NoLink / NHL Link
Brandon ScanlinD246/2/1999No214 Lbs6 ft4NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Calle SjalinD249/2/1999No179 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Chad NychukD223/6/2001No194 Lbs6 ft1NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Daniel TorgerssonLW/RW211/26/2002Yes199 Lbs6 ft3NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Dino KambeitzC/RW231/25/2000No212 Lbs6 ft2NoNoNo2ELCPro & Farm999,999$0$0$NoLink / NHL Link
Donald BusdekerRW249/25/1999Yes180 Lbs5 ft10NoNoNo3RFAPro & Farm825,000$0$0$NoLink / NHL Link
Drake CaggiulaC/LW/RW296/20/1994No176 Lbs5 ft10NoNoNo2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Gage QuinneyC/LW287/29/1995No200 Lbs5 ft11NoNoNo1UFAPro & Farm999,000$0$0$NoLink / NHL Link
Isaac JohnsonLW/RW241/24/1999No185 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Jack St. IvanyD247/22/1999No198 Lbs6 ft3NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Jakub LaukoC233/28/2000Yes196 Lbs6 ft0NoNoNo3ELCPro & Farm925,000$0$0$NoLink / NHL Link
Jaydon DureauLW221/20/2001No173 Lbs5 ft11NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Jiri PateraG242/24/1999Yes209 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
John BeecherC/LW224/5/2001Yes210 Lbs6 ft3NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jonathan GrudenLW235/4/2000Yes172 Lbs6 ft0NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Josh DoanRW212/1/2002Yes183 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Layton AhacD222/22/2001Yes188 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Luka ProfacaD213/30/2002No195 Lbs6 ft2NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Luke MartinD259/20/1998Yes219 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Matej BlumelLW/RW235/31/2000Yes200 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Matej PekarC/LW232/10/2000Yes185 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Mathieu OlivierLW/RW262/11/1997Yes217 Lbs6 ft1NoNoNo1RFAPro & Farm974,100$0$0$NoLink / NHL Link
Matt BartkowskiD356/4/1988No201 Lbs6 ft1NoNoNo1UFAPro & Farm999,000$0$0$NoLink / NHL Link
Matt RempeC216/29/2002No240 Lbs6 ft8NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Max EllisRW231/18/2000No154 Lbs5 ft9NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Michael HutchinsonG333/2/1990No201 Lbs6 ft3NoNoNo1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Milos KelemenLW/RW247/6/1999No210 Lbs6 ft2NoNoNo3RFAPro & Farm888,100$0$0$NoLink / NHL Link
Navrin MutterLW223/15/2001No190 Lbs6 ft3NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Nick Seeler (Out of Payroll)D306/3/1993No201 Lbs6 ft2NoNoYes2UFAPro & Farm999,999$0$0$YesLink / NHL Link
Pavel CajanG2110/13/2002No176 Lbs6 ft2NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Reece VitelliC227/5/2001No180 Lbs5 ft11NoNoNo2ELCPro & Farm999,999$0$0$NoLink / NHL Link
Riley SutterC2410/25/1999Yes210 Lbs6 ft4NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Ryan BednardG263/31/1997Yes207 Lbs6 ft5NoNoNo3RFAPro & Farm825,000$0$0$NoLink / NHL Link
Saku MaenalanenRW295/29/1994Yes214 Lbs6 ft4NoNoYes3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Sampo RantaLW/RW235/31/2000Yes195 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Samuel HoudeC233/8/2000No175 Lbs6 ft0NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Ty GloverC/LW2310/1/2000No200 Lbs6 ft3NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Tyson KozakC2112/29/2002No173 Lbs5 ft11NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Urho Vaakanainen (1 Way Contract)D241/1/1999No200 Lbs6 ft2NoNoNo2RFAPro & Farm1,043,000$1,043,000$80,231$NoLink / NHL Link
Vincent DesharnaisD275/29/1996Yes215 Lbs6 ft6NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Vincent SevignyD224/14/2001No175 Lbs6 ft3NoNoNo3ELCPro & Farm999,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4324.05196 Lbs6 ft22.40955,888$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaGage QuinneySaku Maenalanen40122
2Mathieu OlivierJakub LaukoMatej Blumel30122
3Sampo RantaJohn BeecherMilos Kelemen20122
4Jonathan GrudenDino KambeitzDaniel Torgersson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisUrho Vaakanainen40122
2Brandon ScanlinMatt Bartkowski30122
3Chad NychukJonathan Gruden20122
4Vincent DesharnaisUrho Vaakanainen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaGage QuinneySaku Maenalanen60122
2Mathieu OlivierJakub LaukoMatej Blumel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisUrho Vaakanainen60122
2Brandon ScanlinMatt Bartkowski40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Gage QuinneySaku Maenalanen60122
2Drake CaggiulaMathieu Olivier40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisUrho Vaakanainen60122
2Brandon ScanlinMatt Bartkowski40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Gage Quinney60122Vincent DesharnaisUrho Vaakanainen60122
2Saku Maenalanen40122Brandon ScanlinMatt Bartkowski40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gage QuinneySaku Maenalanen60122
2Drake CaggiulaMathieu Olivier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vincent DesharnaisUrho Vaakanainen60122
2Brandon ScanlinMatt Bartkowski40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaGage QuinneySaku MaenalanenVincent DesharnaisUrho Vaakanainen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaGage QuinneySaku MaenalanenVincent DesharnaisUrho Vaakanainen
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Doan, Matt Rempe, Sampo RantaJosh Doan, Matt RempeSampo Ranta
Extra Defensemen
Normal PowerPlayPenalty Kill
Chad Nychuk, Brandon Scanlin, Matt BartkowskiChad NychukBrandon Scanlin, Matt Bartkowski
Penalty Shots
Gage Quinney, Saku Maenalanen, Drake Caggiula, Mathieu Olivier, Jakub Lauko
Goalie
#1 : Michael Hutchinson, #2 : Jiri Patera
Custom OT Lines Forwards
Gage Quinney, Saku Maenalanen, Drake Caggiula, Mathieu Olivier, Jakub Lauko, Matej Blumel, Matej Blumel, Sampo Ranta, John Beecher, Jonathan Gruden, Milos Kelemen
Custom OT Lines Defensemen
Vincent Desharnais, Urho Vaakanainen, Brandon Scanlin, Matt Bartkowski, Chad Nychuk


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
66W1193453176218776414200
All Games
GPWLOTWOTL SOWSOLGFGA
63300001919
Home Games
GPWLOTWOTL SOWSOLGFGA
321000086
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31200001113
Last 10 Games
WLOTWOTL SOWSOL
330000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
13215.38%31583.87%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
55616006670
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9020643.69%12124649.19%5510353.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13490149457637


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 - 2024-04-185Wolves4Stars6LBoxScore
3 - 2024-04-2013Wolves5Stars3WBoxScore
5 - 2024-04-2221Stars2Wolves3WBoxScore
7 - 2024-04-2429Stars3Wolves2LBoxScore
9 - 2024-04-2637Wolves2Stars4LBoxScore
11 - 2024-04-2845Stars1Wolves3WBoxScore
13 - 2024-04-3053Wolves-Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 3000 - 100.00% 81,250$243,750$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 4,006,020$ 3,766,020$ 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$ 1 0$ 0$




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
2382392806621289260294120150311113912514411913035101501351510128950879722961038283001969104495344283180160519892685721.27%2443984.02%11752310456.44%1591293354.24%732134254.55%2072145818435811050533
2022824724023333442648041261001112187133544121140122115713126110344618962421291061041230769811054101557277388261720212315523.81%2665280.45%71643301254.55%1543298851.64%751139153.99%2034143518785851048527
20238236330322630729710412311011141621332941132202112145164-199030754184801119109748290295596195756290385464921032365121.61%3015183.06%31534300651.03%1529295851.69%691137750.18%1974136419325921058529
Total Regular Season246122850111171094082111912369360533748839197123534906843452430223019401667260765344318260288979290530592925157850725371871611373516322.18%81114282.49%114929912254.03%4663887952.52%2174411052.90%608142575654175831571591
Playoff
20221376000004243-17430000024222633000001821-31442791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
2023633000001919032100000862312000001113-261934530066701765561600218776414213215.38%31583.87%29020643.69%12124649.19%5510353.40%13490149457637
Total Playoff19109000006162-110640000032284945000002934-520611131740021182026121861891934462819516449757915.79%771383.12%234769250.14%36671151.48%15832648.47%479326498154263128