Login

Wolves
GP: 81 | W: 42 | L: 34 | OTL: 5 | P: 89
GF: 421 | GA: 384 | PP%: 31.43% | PK%: 76.69%
GM : Travis Chorostkowski | Morale : 50 | Team Overall : 75
Next Games #1309 vs Senators
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Marlies
52-24-5, 109pts
2
FINAL
6 Wolves
42-34-5, 89pts
Team Stats
OTL1StreakL1
33-6-1Home Record30-9-2
19-18-4Home Record12-25-3
3-4-3Last 10 Games7-3-0
4.85Goals Per Game5.20
3.54Goals Against Per Game4.74
29.17%Power Play Percentage31.43%
61.29%Penalty Kill Percentage76.69%
Wolves
42-34-5, 89pts
1
FINAL
3 Rocket
52-25-5, 109pts
Team Stats
L1StreakW5
30-9-2Home Record32-7-2
12-25-3Home Record20-18-3
7-3-0Last 10 Games9-1-0
5.20Goals Per Game5.40
4.74Goals Against Per Game4.49
31.43%Power Play Percentage29.41%
76.69%Penalty Kill Percentage73.47%
Wolves
42-34-5, 89pts
2025-04-17
Senators
34-42-5, 73pts
Team Stats
L1StreakW2
30-9-2Home Record22-15-3
12-25-3Away Record12-27-2
7-3-0Last 10 Games5-5-0
5.20Goals Per Game5.00
4.74Goals Against Per Game5.00
31.43%Power Play Percentage42.11%
76.69%Penalty Kill Percentage69.81%
Team Leaders
Mark JankowskiGoals
Mark Jankowski
64
Mark JankowskiAssists
Mark Jankowski
80
Mark JankowskiPoints
Mark Jankowski
144
Chad RuhwedelPlus/Minus
Chad Ruhwedel
60
Jesper WallstedtWins
Jesper Wallstedt
35
Jesper WallstedtSave Percentage
Jesper Wallstedt
0.86

Team Stats
Goals For
421
5.20 GFG
Shots For
2523
31.15 Avg
Power Play Percentage
31.4%
22 GF
Offensive Zone Start
31.6%
Goals Against
384
4.74 GAA
Shots Against
2521
31.12 Avg
Penalty Kill Percentage
76.7%%
31 GA
Defensive Zone Start
33.6%
Team Info

General ManagerTravis Chorostkowski
DivisionMetropolitan Division
ConferenceEastern Conference
CaptainMark Jankowski
Assistant #1Nathan Walker
Assistant #2Kaedan Korczak


Arena Info

Capacity5,000
Attendance5,000
Season Tickets5,000


Roster Info

Pro Team28
Farm Team18
Contract Limit46 / 55
Prospects43


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
1Mark Jankowski (C)0X100.00595296808555558658757448808680050790291767,250$
2Nathan Walker (A)0X100.00705294808246558444737153788478050780302750,000$
3Nicolas Deslauriers0X100.008757857880387282407170547682760507803311,662,000$
4Austin Watson0X100.007958817981365583407170467783770507603221,410,000$
5Devin Shore0X100.00675197788236558351747047778377050760291841,000$
6Ross Johnston0X100.007658847880358281407269527581750507603021,056,000$
7Aatu Raty (R)0X100.00456684737685987865616740732540050730211836,667$
8Jujhar Khaira0X100.00454183737858457836626742732540050710291965,250$
9Justin Dowling0X100.00455883737666767865616740732540050710331750,000$
10Tye Felhaber (R)0X100.00514175747758457936616840732540050710252775,000$
11Zac Dalpe0X100.00466482727579917765576740722540050710341750,000$
12Anthony Angello0X100.00476181717573847665576740712540050700283883,500$
13Kaedan Korczak (R) (A)0X100.00655197798462558740757152798779050820233849,750$
14Alexander Alexeyev (R)0X100.00625197768054558640726959778677050810243858,000$
15Chad Ruhwedel0X100.00665197768149628440717062778477050810341752,000$
16Ethan Bear0X100.005952947881605586407371517886780508102711,900,000$
17Kyle Capobianco (R)0X100.00466582737681947836626762732540050780262813,750$
18Kurtis MacDermid0X100.00816086778022558240716948768276050770302948,000$
Scratches
1Nick Caamano (R)0X100.00474581737658457736596840722540050700253813,750$
2Stephen Halliday (R)0X100.00453584727958457765616640712540050700211750,000$
3Eetu Liukas (R)0XXX100.00465482717558647665566640712540050680213867,500$
4Reilly Walsh0X100.00456684727683977736596742722540050740253813,750$
5Will Butcher0X100.00446384727676887736596646712540050730291767,250$
6Albert Johansson (R)0X100.00465781717562727636586746712540050720233798,250$
TEAM AVERAGE100.0057558675795867804665694774525705075
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
1Jesper Wallstedt (R)0100.0073878875727175686975712555050860211925,000$
2Pheonix Copley0100.00655553646567707158566430700507303211,455,000$
Scratches
1Isaiah Saville (R)0100.0066555366645966566273622555050700231849,667$
2Mitchell Gibson (R)0100.0062555360565360615775582555050660251867,500$
TEAM AVERAGE100.006763626664636864627064265905074
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
1Mark JankowskiWolves (CAR)C8164801443940749126611318924.06%19164820.36481214510004806157.20%104921532151.750200012103
2Nicolas DeslauriersWolves (CAR)LW8154459937280224982488614521.77%46150218.5543712531015906341.51%5311438011.32020001055
3Nathan WalkerWolves (CAR)LW8131629323200107992146314514.49%41149118.4143785312331023046.27%26813840011.2501000135
4Devin ShoreWolves (CAR)C81316192208089641854911516.76%30143017.6625710321127842350.18%81111325011.2901000434
5Austin WatsonWolves (CAR)LW81325486186430205741955314316.41%28152018.771456470000111045.83%19211922001.1300222242
6Kaedan KorczakWolves (CAR)D76275481-80089118160796516.88%112177523.37123851011399500%08472010.9100000134
7Chad RuhwedelWolves (CAR)D812852806040106203152597018.42%130173621.433476530111116310%045108000.9200000039
8Ethan BearWolves (CAR)D81304878442054108140595221.43%96155619.21134233112259400%07253001.0000000134
9Alexander AlexeyevWolves (CAR)D81274774-156087179142767419.01%179186122.98123550000057200%054126000.8000000021
10Ross JohnstonWolves (CAR)LW81234871-11240182932187213110.55%41137416.970110190000460250.59%8512135001.0300000124
11Kyle CapobiancoWolves (CAR)D811528431398603217797472915.46%107130616.1300000000043300%02180000.6600255021
12Kurtis MacDermidWolves (CAR)D8114284251951388493393815.05%65140017.28000119000053300%04241000.6000100101
13Jujhar KhairaWolves (CAR)C81142438-61804049119457111.76%14121415.0000000000001135.57%4333916000.6300000121
14Aatu RatyWolves (CAR)C8182230-117935474411325507.08%19140817.39112219000030051.27%550408000.4301421010
15Tye FelhaberWolves (CAR)LW8181523-640451869296311.59%75717.0500000000000051.85%272210000.8100000000
16Anthony AngelloWolves (CAR)RW7661117326125462847164012.77%5114015.00000132000001043.24%37910000.3000104110
17Justin DowlingWolves (CAR)C816713-140211637233016.22%74325.34000000000162154.20%286215100.6000000000
18Zac DalpeWolves (CAR)C812911729153222248198.33%76397.8900005000000047.73%44117000.3400111000
19Reilly WalshWolves (CAR)D10101-222103343225.00%411811.810001200006000%022000.1700002000
Team Total or Average14584216951116238494180162115682523944147116.69%9572413016.5522365876527461025872421250.22%38351282730290.9207111015354444
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
1Jesper WallstedtWolves (CAR)56351740.8604.343372002441740985810.71475625000
2Pheonix CopleyWolves (CAR)2571710.8245.4815012013778043300002556000
Team Total or Average81423450.8494.69487320381252014188178181000


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 By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 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
Aatu Raty Wolves (CAR)C212002-11-14FINYes190 Lbs6 ft2NoNoTrade2024-02-19NoNo1FalseFalsePro & Farm836,667$4,269$0$0$NoRestricted----------------------Link / NHL Link
Albert Johansson Wolves (CAR)D232001-01-04SWEYes185 Lbs6 ft0NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm798,250$4,073$0$0$No798,250$798,250$ Restricted----798,250$798,250$-------NoNo-------Link / NHL Link
Alexander Alexeyev Wolves (CAR)D241999-11-15RUSYes213 Lbs6 ft4NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm858,000$4,378$0$0$No858,000$858,000$ Restricted----858,000$858,000$-------NoNo-------Link / NHL Link
Anthony Angello Wolves (CAR)RW281996-03-06USANo210 Lbs6 ft5NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm883,500$4,508$0$0$No883,500$883,500$Unrestricted----883,500$883,500$-------NoNo-------Link / NHL Link
Austin Watson (1 Way Contract)Wolves (CAR)LW321992-01-13USANo204 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,410,000$7,194$1,454$285,000$No1,410,000$Unrestricted----1,410,000$--------No--------Link / NHL Link
Chad Ruhwedel Wolves (CAR)D341990-05-07USANo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm752,000$3,837$0$0$NoUnrestricted----------------------Link / NHL Link
Devin Shore Wolves (CAR)C291994-07-19CANNo206 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm841,000$4,291$0$0$NoUnrestricted----------------------Link / NHL Link
Eetu Liukas Wolves (CAR)C/LW/RW212002-09-25FINYes205 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm867,500$4,426$0$0$No867,500$867,500$ Restricted----867,500$867,500$-------NoNo-------Link / NHL Link
Ethan Bear (1 Way Contract)Wolves (CAR)D271997-06-26CANNo197 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm1,900,000$9,694$3,954$775,000$NoUnrestricted----------------------Link / NHL Link
Isaiah Saville Wolves (CAR)G232000-09-21USAYes199 Lbs6 ft1NoNoTrade2024-04-01NoNo1FalseFalsePro & Farm849,667$4,335$0$0$No Restricted----------------------Link / NHL Link
Jesper Wallstedt Wolves (CAR)G212002-11-14SWEYes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$NoRestricted----------------------Link / NHL Link
Jujhar Khaira Wolves (CAR)C291994-08-13CANNo212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm965,250$4,925$0$0$NoUnrestricted----------------------Link / NHL Link
Justin Dowling Wolves (CAR)C331990-10-01CANNo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,827$0$0$NoUnrestricted----------------------Link / NHL Link
Kaedan Korczak Wolves (CAR)D232001-01-29CANYes202 Lbs6 ft3NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm849,750$4,335$0$0$No849,750$849,750$ Restricted----849,750$849,750$-------NoNo-------Link / NHL Link
Kurtis MacDermid Wolves (CAR)D301994-03-25CANNo233 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm948,000$4,837$0$0$No948,000$Unrestricted----948,000$--------No--------Link / NHL Link
Kyle Capobianco Wolves (CAR)D261997-08-13CANYes201 Lbs6 ft2NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm813,750$4,152$0$0$No813,750$Unrestricted----813,750$--------No--------Link / NHL Link
Mark Jankowski Wolves (CAR)C291994-09-13CANNo212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm767,250$3,915$0$0$NoUnrestricted----------------------Link / NHL Link
Mitchell Gibson Wolves (CAR)G251999-06-25USAYes188 Lbs6 ft1NoNoProspectNoNo12024-07-02FalseFalsePro & Farm867,500$4,426$0$0$No Restricted----------------------Link / NHL Link
Nathan Walker Wolves (CAR)LW301994-02-07AUSNo187 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,827$0$0$No750,000$Unrestricted----750,000$--------No--------Link / NHL Link
Nick Caamano Wolves (CAR)RW251998-09-07CANYes205 Lbs6 ft3NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm813,750$4,152$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Nicolas Deslauriers Wolves (CAR)LW331991-02-22CANNo220 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm1,662,000$8,480$0$0$NoUnrestricted----------------------Link / NHL Link
Pheonix Copley Wolves (CAR)G321992-01-18USANo200 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm1,455,000$7,423$0$0$NoUnrestricted----------------------Link / NHL Link
Reilly Walsh Wolves (CAR)D251999-04-21USANo185 Lbs6 ft0NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm813,750$4,152$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Ross Johnston Wolves (CAR)LW301994-02-18CANNo230 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,056,000$5,388$0$0$No1,056,000$Unrestricted----1,056,000$--------No--------Link / NHL Link
Stephen Halliday Wolves (CAR)C212002-07-02CANYes214 Lbs6 ft3NoNoProspectNoNo12024-07-02FalseFalsePro & Farm750,000$3,827$0$0$NoRestricted----------------------Link / NHL Link
Tye Felhaber Wolves (CAR)LW251998-08-05CANYes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$3,954$0$0$No775,000$ Restricted----775,000$--------No--------Link / NHL Link
Will Butcher Wolves (CAR)D291995-01-06USANo195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm767,250$3,915$0$0$NoUnrestricted----------------------Link / NHL Link
Zac Dalpe Wolves (CAR)C341989-11-01CANNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,827$0$0$NoUnrestricted----------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2827.21202 Lbs6 ft21.71945,566$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas DeslauriersMark JankowskiAnthony Angello30122
2Nathan WalkerDevin ShoreAustin Watson30122
3Ross JohnstonAatu RatyJujhar Khaira20122
4Austin WatsonJujhar KhairaMark Jankowski20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexander Alexeyev30122
2Chad RuhwedelEthan Bear30122
3Kyle CapobiancoKurtis MacDermid20122
4Kaedan KorczakAlexander Alexeyev20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicolas DeslauriersMark JankowskiAnthony Angello50122
2Nathan WalkerDevin ShoreAustin Watson50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexander Alexeyev50122
2Chad RuhwedelEthan Bear50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark JankowskiNicolas Deslauriers50122
2Nathan WalkerDevin Shore50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexander Alexeyev50122
2Chad RuhwedelEthan Bear50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark Jankowski50122Kaedan KorczakAlexander Alexeyev50122
2Nicolas Deslauriers50122Chad RuhwedelEthan Bear50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark JankowskiNicolas Deslauriers50122
2Nathan WalkerDevin Shore50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexander Alexeyev50122
2Chad RuhwedelEthan Bear50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersMark JankowskiAnthony AngelloKaedan KorczakAlexander Alexeyev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nicolas DeslauriersMark JankowskiAnthony AngelloKaedan KorczakAlexander Alexeyev
Extra Forwards
Normal PowerPlayPenalty Kill
Zac Dalpe, Tye Felhaber, Justin DowlingZac Dalpe, Tye FelhaberJustin Dowling
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Kurtis MacDermid, Chad RuhwedelKyle CapobiancoKurtis MacDermid, Chad Ruhwedel
Penalty Shots
Mark Jankowski, Nicolas Deslauriers, Nathan Walker, Devin Shore, Ross Johnston
Goalie
#1 : Jesper Wallstedt, #2 : Pheonix Copley
Custom OT Lines Forwards
Mark Jankowski, Nicolas Deslauriers, Nathan Walker, Devin Shore, Ross Johnston, Austin Watson, Austin Watson, Aatu Raty, Jujhar Khaira, Zac Dalpe, Tye Felhaber
Custom OT Lines Defensemen
Kaedan Korczak, Alexander Alexeyev, Chad Ruhwedel, Ethan Bear, Kyle Capobianco


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
1Admirals220000001394110000007521100000064241.00013253800180110129267908813789205621736000%110.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
2Americans303000001120-91010000016-5202000001014-400.00011203100180110129296908813789201004111523266.67%3233.33%0638120552.95%652128350.82%636133147.78%1840120117136251322660
3Barracuda220000001789110000009361100000085341.00017264300180110129279908813789204623124322100.00%6350.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
4Bears4220000024186211000001183211000001310340.50024376100180110129212990881378920142375078100.00%10460.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
5Bruins330000003072322000000244201100000063361.00030497900180110129292908813789209629762100.00%10100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
6Canucks20200000411-71010000037-41010000014-300.0004610001801101292559088137892057216512150.00%3166.67%0638120552.95%652128350.82%636133147.78%1840120117136251322660
7Checkers312000001216-41100000076120200000510-520.3331218300018011012929690881378920863115615240.00%50100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
8Comets403001001322-92010010049-520200000913-410.12513183100180110129212990881378920137511586300.00%50100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
9Condors2100010012111110000006421000010067-130.7501219310018011012926190881378920591713493266.67%40100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
10Crunch321000001812622000000155101010000037-440.6671828460018011012928690881378920107306544375.00%3166.67%0638120552.95%652128350.82%636133147.78%1840120117136251322660
11Eagles2110000089-1110000003211010000057-220.50081422001801101292739088137892052151045000%50100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
12Firebirds211000001091110000007431010000035-220.50010162600180110129265908813789205928123411100.00%60100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
13Griffins33000000201191100000074322000000137661.000203454001801101292999088137892077301758300.00%60100.00%1638120552.95%652128350.82%636133147.78%1840120117136251322660
14Gulls220000001394110000006421100000075241.000132134001801101292599088137892076238432150.00%40100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
15IceHogs211000001013-3110000007521010000038-520.5001018280018011012925890881378920712484211100.00%4250.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
16Islanders422000002021-121100000990211000001112-140.50020315100180110129211090881378920118502485400.00%7271.43%1638120552.95%652128350.82%636133147.78%1840120117136251322660
17Marlies32000001161062200000011471000000156-150.833162844001801101292869088137892082411361000%4175.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
18Monsters4220000022211220000001284202000001013-340.500223355001801101292124908813789201274755816350.00%10280.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
19Moose2010100079-2100010004311010000036-320.5007111800180110129249908813789205519430300.00%2150.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
20Penguins303000001016-620200000711-41010000035-200.00010192900180110129293908813789209442649100.00%3233.33%0638120552.95%652128350.82%636133147.78%1840120117136251322660
21Phantoms311001001317-41000010045-121100000912-330.500132134001801101292789088137892098271048300.00%5260.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
22Reign2100100013112110000006511000100076141.000132235001801101292669088137892069261233300.00%6183.33%1638120552.95%652128350.82%636133147.78%1840120117136251322660
23Roadrunners220000001477110000007341100000074341.0001421350018011012925290881378920743416435240.00%30100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
24Rocket31200000813-5110000005412020000039-620.33381321001801101292839088137892097401659100.00%30100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
25Senators2200000014682200000014680000000000041.00014253900180110129280908813789204817444000%2150.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
26Silver Knights2110000010100110000006331010000047-320.500101929001801101292729088137892056362646400.00%3166.67%1638120552.95%652128350.82%636133147.78%1840120117136251322660
27Stars2200000016124110000009631100000076141.000163046001801101292749088137892071292643000%3233.33%0638120552.95%652128350.82%636133147.78%1840120117136251322660
28Thunderbirds211000001174110000007251010000045-120.500111930001801101292709088137892050277404125.00%10100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
29Wild2020000049-51010000014-31010000035-200.000459001801101292449088137892076322536000%5180.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
30Wolf Pack413000001619-32110000076120200000913-420.25016284410180110129213990881378920116494491200.00%7185.71%0638120552.95%652128350.82%636133147.78%1840120117136251322660
31Wranglers2100000112111110000006421000000167-130.7501221330018011012925990881378920692011383133.33%30100.00%0638120552.95%652128350.82%636133147.78%1840120117136251322660
Total814034023024213843741299012002321597340112501102189225-36890.549421695111610180110129225239088137892025219574961621702231.43%1333176.69%4638120552.95%652128350.82%636133147.78%1840120117136251322660
_Since Last GM Reset814034023024213843741299012002321597340112501102189225-36890.549421695111610180110129225239088137892025219574961621702231.43%1333176.69%4638120552.95%652128350.82%636133147.78%1840120117136251322660
_Vs Conference4922240020124722918251670020013895432461700001109134-25470.4802474026491018011012921520908813789201525562293969371027.03%741875.68%2638120552.95%652128350.82%636133147.78%1840120117136251322660
_Vs Division26101500100118134-161376001005456-21339000006478-14210.4041181873051018011012928029088137892083230320451820315.00%471372.34%1638120552.95%652128350.82%636133147.78%1840120117136251322660

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8189L1421695111625232521957496162110
All Games
GPWLOTWOTL SOWSOLGFGA
8140342302421384
Home Games
GPWLOTWOTL SOWSOLGFGA
412991200232159
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4011251102189225
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
702231.43%1333176.69%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
908813789201801101292
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
638120552.95%652128350.82%636133147.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1840120117136251322660


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 Score Home Score ST OT SO RI Link
8 - 2024-10-1120Crunch4Wolves6WBoxScore
9 - 2024-10-1229Wolves3Crunch7LBoxScore
12 - 2024-10-1550Comets7Wolves3LBoxScore
15 - 2024-10-1872Wolves3Penguins5LBoxScore
16 - 2024-10-1984Wolves4Thunderbirds5LBoxScore
19 - 2024-10-22103Wolves6Condors7LXBoxScore
21 - 2024-10-24114Wolves6Wranglers7LXXBoxScore
23 - 2024-10-26135Wolves3Firebirds5LBoxScore
25 - 2024-10-28146Wolves1Canucks4LBoxScore
28 - 2024-10-31165Bruins2Wolves6WBoxScore
31 - 2024-11-03188Bears5Wolves4LBoxScore
33 - 2024-11-05197Phantoms5Wolves4LXBoxScore
35 - 2024-11-07214Penguins5Wolves4LBoxScore
37 - 2024-11-09233Wolves5Eagles7LBoxScore
39 - 2024-11-11244Wolves4Silver Knights7LBoxScore
41 - 2024-11-13254Wolves7Roadrunners4WBoxScore
44 - 2024-11-16280Senators3Wolves6WBoxScore
45 - 2024-11-17284Thunderbirds2Wolves7WBoxScore
48 - 2024-11-20302Wolves7Phantoms6WBoxScore
49 - 2024-11-21309Wolves4Comets5LBoxScore
51 - 2024-11-23328Wolves6Monsters7LBoxScore
53 - 2024-11-25339Stars6Wolves9WBoxScore
55 - 2024-11-27349Wolf Pack1Wolves6WBoxScore
57 - 2024-11-29367Checkers6Wolves7WBoxScore
58 - 2024-11-30377Wolves1Checkers5LBoxScore
61 - 2024-12-03401Firebirds4Wolves7WBoxScore
63 - 2024-12-05415Eagles2Wolves3WBoxScore
65 - 2024-12-07428Wolves6Islanders5WBoxScore
68 - 2024-12-10448Barracuda3Wolves9WBoxScore
71 - 2024-12-13473Senators3Wolves8WBoxScore
73 - 2024-12-15491Monsters5Wolves7WBoxScore
75 - 2024-12-17500Islanders6Wolves5LBoxScore
78 - 2024-12-20524Wolves5Bears7LBoxScore
80 - 2024-12-22539Wolves5Wolf Pack7LBoxScore
81 - 2024-12-23553Wolves6Admirals4WBoxScore
85 - 2024-12-27560Wolves5Comets8LBoxScore
86 - 2024-12-28573Comets2Wolves1LXBoxScore
89 - 2024-12-31594Wolves4Monsters6LBoxScore
91 - 2025-01-02603Wolves4Checkers5LBoxScore
93 - 2025-01-04624Wild4Wolves1LBoxScore
94 - 2025-01-05634Penguins6Wolves3LBoxScore
98 - 2025-01-09659Marlies2Wolves5WBoxScore
99 - 2025-01-10666Canucks7Wolves3LBoxScore
101 - 2025-01-12687Gulls4Wolves6WBoxScore
104 - 2025-01-15705Wolves4Americans7LBoxScore
106 - 2025-01-17721Silver Knights3Wolves6WBoxScore
109 - 2025-01-20746Wolves3IceHogs8LBoxScore
110 - 2025-01-21753Wolves7Stars6WBoxScore
112 - 2025-01-23764Monsters3Wolves5WBoxScore
114 - 2025-01-25785Wolves5Islanders7LBoxScore
117 - 2025-01-28802Wolves4Wolf Pack6LBoxScore
119 - 2025-01-30817IceHogs5Wolves7WBoxScore
121 - 2025-02-01832Reign5Wolves6WBoxScore
124 - 2025-02-04852Wolves3Moose6LBoxScore
126 - 2025-02-06867Wolves3Wild5LBoxScore
128 - 2025-02-08878Roadrunners3Wolves7WBoxScore
142 - 2025-02-22900Wolves5Marlies6LXXBoxScore
145 - 2025-02-25920Wolves2Rocket6LBoxScore
147 - 2025-02-27940Americans6Wolves1LBoxScore
149 - 2025-03-01955Condors4Wolves6WBoxScore
150 - 2025-03-02963Wranglers4Wolves6WBoxScore
152 - 2025-03-04975Wolves6Griffins2WBoxScore
154 - 2025-03-06992Bruins2Wolves18WBoxScore
Trade Deadline
157 - 2025-03-091016Moose3Wolves4WXBoxScore
159 - 2025-03-111029Crunch1Wolves9WBoxScore
162 - 2025-03-141049Griffins4Wolves7WBoxScore
163 - 2025-03-151061Wolves2Phantoms6LBoxScore
168 - 2025-03-201102Wolves8Barracuda5WBoxScore
170 - 2025-03-221109Wolves7Reign6WXBoxScore
171 - 2025-03-231123Wolves7Gulls5WBoxScore
173 - 2025-03-251132Admirals5Wolves7WBoxScore
176 - 2025-03-281154Rocket4Wolves5WBoxScore
178 - 2025-03-301175Islanders3Wolves4WBoxScore
181 - 2025-04-021193Bears3Wolves7WBoxScore
183 - 2025-04-041206Wolves7Griffins5WBoxScore
184 - 2025-04-051214Wolves6Bruins3WBoxScore
187 - 2025-04-081235Wolves6Americans7LBoxScore
189 - 2025-04-101252Wolves8Bears3WBoxScore
191 - 2025-04-121266Wolf Pack5Wolves1LBoxScore
192 - 2025-04-131279Marlies2Wolves6WBoxScore
195 - 2025-04-161301Wolves1Rocket3LBoxScore
196 - 2025-04-171309Wolves-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance143,50061,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 5000 - 100.00% 108,375$4,443,375$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
22,863,018$ 23,165,836$ 23,165,836$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
118,193$ 22,863,018$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 118,193$ 118,193$




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

Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

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

Wolves Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA