Wolves

GP: 28 | W: 18 | L: 10 | OTL: 0 | P: 36
GF: 123 | GA: 94 | PP%: 24.21% | PK%: 80.00%
GM : Yves Ayotte | Morale : 75 | Team Overall : 62
Next Games #471 vs Monsters

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 SP
1Julien Gauthier0X100.00824091679180706862656663676970075670
2Josh Doan (R)0X100.00703987688086896669676664686364075660
3Ryan Carpenter0XX100.00683894667780866473656367627479075660
4Phillip Di Giuseppe0XX100.00754083677385776358626069647472075650
5Matej Blumel (R)0XX100.00663786687572886664626763686567075650
6Adam Beckman (R)0XX100.00673883657787826458636062616566075640
7Matt Rempe0X100.00878653669973826359616162586465075640
8Jakub Lauko (R)0X100.00825678677674826362616066636567075640
9Brandon Biro (R)0X100.00553688636678826267636162636769075620
10Milos Kelemen0XX100.00734369648279736162635559606668075620
11Tyson Kozak0X100.00653982636976776266596061586365075620
12Ryan Winterton (R)0X100.00673888627580856166596058616364075620
13Henry Thrun (R)0X100.00714286698288846630686067526466075660
14Nick DeSimone0X100.00693895657982746430676061527173075650
15Jack St. Ivany0X100.00764181638782836130625870496668075640
16Ian Mitchell (R)0X100.00633786667384826430675862506668075640
17Kyle Capobianco0X100.00724173648377856230645761496870075630
18Brandon Scanlin0X100.00774083589175845630535559476668075610
Scratches
1Ty Glover0XX100.00744084588371735760555659576567075610
2Riley Sutter (R)0X100.00794277588869835657545559536668075610
3Jonathan Gruden (R)0X100.00714072587274825965575856556567075600
4Dino Kambeitz0XX100.00744179578370805653525859566567075600
5Jayden Grubbe (R)0X100.00754176548475835261555357546264075590
6Riley Kidney (R)0X100.00613880586971835763565453556264075590
7Daniel Torgersson (R)0XX100.00744090548367715355525156546365075580
8Coulson Pitre (R)0X100.00653890557471725458565357546163075580
9Navrin Mutter0X100.00726150558169715357545256536466075570
10Jaydon Dureau (R)0X100.00583690566772625457535251566466075570
11Reece Vitelli (R)0X100.00563973556866635361565253546466075570
12Jake Chiasson (R)0X100.00644091537370625255515054536264075560
13Trevor Janicke (R)0X100.00563695546963615358525051556567075560
14Sebastian D. Aho0X100.00653593676682756530685564516971075640
15Roman Schmidt (R)0X100.00844562559363685430565261466264075590
16Chad Nychuk0X100.00664076557665665430535256456466075580
17Trey Taylor0X100.00693795557876605430535052456365075580
18Andrew Perrott0X100.00654655547464665230555356456466075570
TEAM AVERAGE100.0070428161787576595259576055656707561
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 SP
1Ales Stezka100.0075817684747375747375746881075660
2Jiri Patera (R)100.0074787486737274737274736675075650
Scratches
1Pavel Cajan100.0067767276666567666567666369075610
TEAM AVERAGE100.007278748271707271707271667507564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Trent Vogelhuber68656966555290USA363950,000$


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
1Josh DoanWolves (CAR)RW2815193412802440119299412.61%654519.4844826740000371171.05%3800001.2511000123
2Julien GauthierWolves (CAR)RW28191332111407246115308816.52%454319.422461577000003251.85%5400021.1801000422
3Matej BlumelWolves (CAR)LW/RW2814173111001934110418612.73%350117.903472774000182055.56%2700011.2411000230
4Henry ThrunWolves (CAR)D28723304240584567173410.45%4167424.082573280101263200.00%000000.8900000111
5Jakub LaukoWolves (CAR)C2710203013140897684185411.90%550418.6836910690111331051.64%70100001.1900000202
6Ryan CarpenterWolves (CAR)C/RW281020301360179510530549.52%962422.3107718770001841159.08%90900000.9600000211
7Phillip Di GiuseppeWolves (CAR)LW/RW28715221312057519524727.37%1162122.1932521770003810047.27%5500000.7100000010
8Jack St. IvanyWolves (CAR)D24615214260633438163115.79%3251321.401451056011156200.00%000000.8200000013
9Ian MitchellWolves (CAR)D2851419740273440233912.50%3860121.483251872000164000.00%000000.6300000210
10Matt RempeWolves (CAR)C289817-23210654875254312.00%435912.8400000000002053.38%42900000.9500101031
11Nick DeSimoneWolves (CAR)D283131628049333617288.33%3563922.862462179000034110.00%000000.5000000010
12Brandon ScanlinWolves (CAR)D192101221180345641133.33%2130516.09000015000050058.33%1200000.7800000100
13Kyle CapobiancoWolves (CAR)D283912916050181851516.67%2243615.5800010000032010.00%000000.5500000000
14Adam BeckmanWolves (CAR)C/LW283811-2004405622445.36%338813.89000000000250042.50%4000000.5700000000
15Milos KelemenWolves (CAR)LW/RW28369-10017284517386.67%436112.9200010000001051.61%3100000.5000000000
16Tyson KozakWolves (CAR)C28347-24015192061115.00%31415.0400000000001053.14%17500000.9900000100
17Brandon BiroWolves (CAR)LW28246-600616235178.70%61896.7700000000000088.89%900000.6300000011
18Sebastian D. AhoWolves (CAR)D9044-120756130.00%1414616.2700000000120000.00%000000.5500000100
19Ryan WintertonWolves (CAR)C28112-5201710124128.33%51716.1200012000010037.84%3700000.2300000000
Team Total or Average49912222334510119010690677107033477411.40%266827016.572342652017601231155017654.79%251700030.8323101171714
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
1Ales StezkaWolves (CAR)2011800.8923.39115200656010010.6673199011
2Jiri PateraWolves (CAR)107200.9003.1553301282810100.0000919000
Team Total or Average30181000.8953.31168601938820110.66732828011


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
Adam BeckmanC/LW242001-05-10Yes182 Lbs6 ft2NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Ales StezkaG281997-01-06No190 Lbs6 ft4NoNoNo2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Andrew PerrottD242001-08-24No217 Lbs5 ft10NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Brandon BiroLW271998-03-11Yes170 Lbs5 ft11NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Brandon ScanlinD261999-06-02No218 Lbs6 ft4NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Chad NychukD242001-03-06No194 Lbs6 ft1NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Coulson PitreRW202004-12-13Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Daniel TorgerssonLW/RW232002-01-26Yes199 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Dino KambeitzC/RW252000-01-25No212 Lbs6 ft2NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Henry ThrunD242001-03-12Yes210 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ian MitchellD261999-01-18Yes192 Lbs6 ft0NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Jack St. IvanyD261999-07-22No205 Lbs6 ft4NoNoYes1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Jake ChiassonRW222003-05-25Yes165 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jakub LaukoC252000-03-28Yes193 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jayden GrubbeC222003-01-12Yes201 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jaydon DureauLW242001-01-20Yes173 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jiri PateraG261999-02-24Yes212 Lbs6 ft3NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Jonathan GrudenLW252000-05-04Yes172 Lbs6 ft0NoNoNo1RFAPro & Farm800,000$0$0$NoLink / NHL Link
Josh DoanRW232002-02-01Yes198 Lbs6 ft2NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Julien GauthierRW271997-10-15No225 Lbs6 ft4NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Kyle CapobiancoD281997-08-13No198 Lbs6 ft3NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Matej BlumelLW/RW252000-05-31Yes205 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Matt RempeC232002-06-29No255 Lbs6 ft9NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Milos KelemenLW/RW261999-07-06No210 Lbs6 ft2NoNoNo1RFAPro & Farm888,100$0$0$NoLink / NHL Link
Navrin MutterLW242001-03-15No190 Lbs6 ft3NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Nick DeSimoneD301994-11-21No194 Lbs6 ft2NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Pavel CajanG222002-10-13No176 Lbs6 ft2NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Phillip Di GiuseppeLW/RW311993-10-09No193 Lbs6 ft0NoNoNo1UFAPro & Farm990,000$0$0$NoLink / NHL Link
Reece VitelliC242001-07-05Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Riley KidneyC222003-03-25Yes181 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Riley SutterC251999-10-25Yes210 Lbs6 ft4NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Roman SchmidtD222003-02-27Yes216 Lbs6 ft5NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryan CarpenterC/RW341991-01-18No198 Lbs6 ft1NoNoNo1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Ryan WintertonC222003-09-04Yes175 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sebastian D. AhoD291996-02-17No180 Lbs5 ft10NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Trevor JanickeC242000-12-25Yes193 Lbs5 ft10NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Trey TaylorD232002-02-04No190 Lbs6 ft2NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Ty GloverC/LW252000-10-01No200 Lbs6 ft3NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Tyson KozakC222002-12-29No185 Lbs5 ft11NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3924.92196 Lbs6 ft21.95938,541$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Phillip Di GiuseppeRyan CarpenterJulien Gauthier34023
2Matej BlumelJakub LaukoJosh Doan32023
3Adam BeckmanMatt RempeMilos Kelemen26122
4Brandon BiroTyson KozakRyan Winterton8041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone34023
2Ian MitchellJack St. Ivany32023
3Brandon ScanlinKyle Capobianco26041
4Henry ThrunNick DeSimone8122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Phillip Di GiuseppeRyan CarpenterJulien Gauthier60005
2Matej BlumelJakub LaukoJosh Doan40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone60005
2Ian MitchellJack St. Ivany40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan CarpenterPhillip Di Giuseppe60122
2Jakub LaukoJosh Doan40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunJack St. Ivany60122
2Ian MitchellNick DeSimone40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Phillip Di Giuseppe60122Jack St. IvanyHenry Thrun60122
2Ryan Carpenter40122Ian MitchellNick DeSimone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Julien GauthierJosh Doan60023
2Ryan CarpenterPhillip Di Giuseppe40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henry ThrunNick DeSimone60023
2Ian MitchellJack St. Ivany40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Phillip Di GiuseppeRyan CarpenterJulien GauthierHenry ThrunNick DeSimone
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Phillip Di GiuseppeRyan CarpenterJakub LaukoHenry ThrunJack St. Ivany
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Winterton, Matt Rempe, Adam BeckmanRyan Winterton, Matt RempeAdam Beckman
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack St. Ivany, Kyle Capobianco, Ian MitchellJack St. IvanyKyle Capobianco, Ian Mitchell
Penalty Shots
Matej Blumel, Julien Gauthier, Josh Doan, Phillip Di Giuseppe, Ryan Carpenter
Goalie
#1 : Jiri Patera, #2 : Ales Stezka
Custom OT Lines Forwards
Julien Gauthier, Josh Doan, Ryan Carpenter, Phillip Di Giuseppe, Matej Blumel, Jakub Lauko, Jakub Lauko, Matt Rempe, Adam Beckman, Milos Kelemen, Tyson Kozak
Custom OT Lines Defensemen
Henry Thrun, Nick DeSimone, Ian Mitchell, Jack St. Ivany, 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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2836W4123223346107088326619069011
All Games
GPWLOTWOTL SOWSOLGFGA
281410301012394
Home Games
GPWLOTWOTL SOWSOLGFGA
158610006955
Visitor Games
GPWLOTWOTL SOWSOLGFGA
136420105439
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
952324.21%801680.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
356362339163646375
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
601107256.06%52296154.32%25747454.22%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
741529589196358186


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
3 - 2025-10-0914Devils6Wolves5LBoxScore
5 - 2025-10-1130Phantoms5Wolves0LBoxScore
8 - 2025-10-1455Wolves6Barracuda5WXBoxScore
10 - 2025-10-1670Wolves4Gulls3WXXBoxScore
12 - 2025-10-1886Wolves2Reign4LBoxScore
14 - 2025-10-2097Wolves6Silver Knights3WBoxScore
17 - 2025-10-23121Wolves7Eagles2WBoxScore
19 - 2025-10-25138Wolves6Stars5WXBoxScore
22 - 2025-10-28152Silver Knights4Wolves8WBoxScore
24 - 2025-10-30171Sound Tigers6Wolves3LBoxScore
26 - 2025-11-01181Wolves6Bruins2WBoxScore
29 - 2025-11-04206Wolves4Wolf Pack1WBoxScore
31 - 2025-11-06221Wild6Wolves3LBoxScore
33 - 2025-11-08238Americans0Wolves7WBoxScore
34 - 2025-11-09246Wolves6Marlies4WBoxScore
36 - 2025-11-11259Bears3Wolves5WBoxScore
39 - 2025-11-14280Comets3Wolves5WBoxScore
40 - 2025-11-15289Condors4Wolves3LBoxScore
42 - 2025-11-17301Wolves3Bruins1WBoxScore
44 - 2025-11-19317Wolves2Wild3LBoxScore
46 - 2025-11-21333Wolves2Moose4LBoxScore
48 - 2025-11-23347Wolves0Americans2LBoxScore
51 - 2025-11-26368Wolf Pack2Wolves7WBoxScore
53 - 2025-11-28387Moose3Wolves2LBoxScore
55 - 2025-11-30404Wranglers2Wolves6WBoxScore
59 - 2025-12-04432Marlies1Wolves3WBoxScore
61 - 2025-12-06447Admirals6Wolves7WBoxScore
62 - 2025-12-07455Barracuda4Wolves5WXBoxScore
64 - 2025-12-09471Monsters-Wolves-
66 - 2025-12-11485Wolves-Bears-
68 - 2025-12-13501Wolves-Phantoms-
69 - 2025-12-14510Phantoms-Wolves-
72 - 2025-12-17532Wolves-Admirals-
74 - 2025-12-19544Wolves-Checkers-
75 - 2025-12-20557Wolves-Crunch-
78 - 2025-12-23581Checkers-Wolves-
82 - 2025-12-27593Griffins-Wolves-
84 - 2025-12-29608Wolf Pack-Wolves-
85 - 2025-12-30619Wolves-Penguins-
87 - 2026-01-01636Rocket-Wolves-
89 - 2026-01-03653Eagles-Wolves-
90 - 2026-01-04660Wolves-Devils-
92 - 2026-01-06670Stars-Wolves-
94 - 2026-01-08688Gulls-Wolves-
96 - 2026-01-10706Firebirds-Wolves-
98 - 2026-01-12717Wolves-Griffins-
99 - 2026-01-13730Wolves-Thunderbirds-
102 - 2026-01-16750Checkers-Wolves-
103 - 2026-01-17759Wolves-Devils-
105 - 2026-01-19770Americans-Wolves-
108 - 2026-01-22796IceHogs-Wolves-
110 - 2026-01-24813Wolves-Senators-
115 - 2026-01-29850Roadrunners-Wolves-
117 - 2026-01-31864Wolves-Bears-
118 - 2026-02-01874Reign-Wolves-
120 - 2026-02-03888Senators-Wolves-
122 - 2026-02-05905Wolves-Wolf Pack-
143 - 2026-02-26923Crunch-Wolves-
145 - 2026-02-28943Griffins-Wolves-
147 - 2026-03-02957Wolves-Firebirds-
149 - 2026-03-04972Wolves-Comets-
151 - 2026-03-06986Wolves-Condors-
152 - 2026-03-07998Wolves-Wranglers-
155 - 2026-03-101018Penguins-Wolves-
157 - 2026-03-121033Thunderbirds-Wolves-
159 - 2026-03-141049Wolves-Crunch-
162 - 2026-03-171070Wolves-Monsters-
163 - 2026-03-181078Penguins-Wolves-
165 - 2026-03-201094Wolves-Marlies-
167 - 2026-03-221112Wolves-Penguins-
169 - 2026-03-241121Wolves-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281157Devils-Wolves-
174 - 2026-03-291169Rocket-Wolves-
176 - 2026-03-311185Wolves-Monsters-
178 - 2026-04-021196Monsters-Wolves-
180 - 2026-04-041214Sound Tigers-Wolves-
181 - 2026-04-051225Wolves-Senators-
183 - 2026-04-071237Bruins-Wolves-
185 - 2026-04-091254Wolves-IceHogs-
187 - 2026-04-111269Wolves-Roadrunners-
189 - 2026-04-131284Wolves-Phantoms-
190 - 2026-04-141293Wolves-Sound Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance29,82014,937
Attendance PCT99.40%99.58%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-5 2984 - 99.46% 80,796$1,211,945$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,502,839$ 3,660,310$ 3,660,310$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,194,500$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-403,982$ 130 24,012$ 3,121,560$




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
202482363205522296287941181503410144135941181702112152152093296534830101058410092951929950103944287381669220522514618.33%2855381.40%51558306450.85%1512299050.57%708135652.21%1913131819856141064520
202528141003010123942915860100069551413640201054391536123223346113646375107035636233916883266190690952324.21%801680.00%1601107256.06%52296154.32%25747454.22%741529589196358186
Total Regular Season1105042085324193813856262104410213190235424210412220619115129419757117621141130137144021128513121378603756108288227423466919.94%3656981.10%62159413652.20%2034395151.48%965183052.73%2655184725758101423706
Playoff
2024514000001423-92020000069-331200000814-62142842005540178566755018763411171600.00%17288.24%08819445.36%10320250.99%448850.00%11477120386531
Total Playoff514000001423-92020000069-331200000814-62142842005540178566755018763411171600.00%17288.24%08819445.36%10320250.99%448850.00%11477120386531