Essayer le nouveau site
Please rotate your device to landscape mode for a better experience.
Login

Wolf Pack
GP: 22 | W: 12 | L: 10 | OTL: 0 | P: 24
GF: 61 | GA: 62 | PP%: 12.33% | PK%: 73.68%
GM : Stéphane Descheneaux | Morale : 53 | Team Overall : 63
Next Games #325 vs Wolves

Game Center
Wolf Pack
12-10-0, 24pts
2
0 Admirals
7-11-3, 17pts
Team Stats
W2StreakW1
5-4-0Home Record2-7-0
7-6-0Home Record5-4-3
7-3-0Last 10 Games2-7-1
2.77Goals Per Game2.14
2.82Goals Against Per Game3.05
12.33%Power Play Percentage15.38%
73.68%Penalty Kill Percentage71.93%
Bears
9-10-1, 19pts
2
4 Wolf Pack
12-10-0, 24pts
Team Stats
W1StreakW2
6-4-0Home Record5-4-0
3-6-1Home Record7-6-0
4-6-0Last 10 Games7-3-0
2.90Goals Per Game2.77
3.20Goals Against Per Game2.82
16.00%Power Play Percentage12.33%
79.07%Penalty Kill Percentage73.68%
Wolf Pack
12-10-0, 24pts
2025-10-08
Wolves
8-9-3, 19pts
Team Stats
W2StreakL3
5-4-0Home Record4-4-2
7-6-0Away Record4-5-1
7-3-0Last 10 Games3-6-1
2.77Goals Per Game2.55
2.82Goals Against Per Game2.55
12.33%Power Play Percentage17.65%
73.68%Penalty Kill Percentage73.91%
Bears
9-10-1, 19pts
2025-10-09
Wolf Pack
12-10-0, 24pts
Team Stats
W1StreakW2
6-4-0Home Record5-4-0
3-6-1Away Record7-6-0
4-6-0Last 10 Games7-3-0
2.90Goals Per Game2.77
3.20Goals Against Per Game2.77
16.00%Power Play Percentage12.33%
79.07%Penalty Kill Percentage73.68%
Wolf Pack
12-10-0, 24pts
2025-10-12
Firebirds
8-12-0, 16pts
Team Stats
W2StreakW1
5-4-0Home Record5-5-0
7-6-0Away Record3-7-0
7-3-0Last 10 Games4-6-0
2.77Goals Per Game2.70
2.82Goals Against Per Game2.70
12.33%Power Play Percentage14.89%
73.68%Penalty Kill Percentage82.81%
Team Leaders
Goals
Cole Koepke
6
Assists
Zack Ostapchuk
12
Points
Zack Ostapchuk
15
Plus/Minus
Zack Ostapchuk
11
Wins
Jean-Francois Berube
3
Save Percentage
Jean-Francois Berube
0.905

Team Stats
Goals For
61
2.77 GFG
Shots For
721
32.77 Avg
Power Play Percentage
12.3%
9 GF
Offensive Zone Start
41.3%
Goals Against
62
2.82 GAA
Shots Against
655
29.77 Avg
Penalty Kill Percentage
73.7%%
15 GA
Defensive Zone Start
40.0%
Team Info

General ManagerStéphane Descheneaux
CoachRob Murray
DivisionDivision Atlantique
ConferenceConference 1
CaptainLucas Johansen
Assistant #1James Hardie
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 56
Prospects27


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
1Cole Koepke (R)22X100.007545908371708677507172726665454057670281900,000$
2Cole Reinhardt (R)42X100.007350908171708472507072706650456059660261900,000$
3Zack Ostapchuk (R)28X100.007455858273708470756567746160457058660233900,000$
4Jean-Christophe Beaudin14X100.0058469472707275767272687563645554566602921,500,000$
5Stephen Halliday (R)56X100.006845937273697473687372706645457049650243900,000$
6Timothy Gettinger9XX100.0075517872757477696469687166665854596502821,200,000$
7James Hardie (A)64XX100.0068469076727178706567706660615170596502421,200,000$
8Tyler Steenbergen25X100.0058459472676870697568676660625454446402821,000,000$
9Austin Poganski72XX100.006645907171687568626666686264525451630301900,000$
10Tomas Jurco29XX100.0056439972716968686865646760785342596303311,200,000$
11Shane Gersich63XXX100.006446927169727369666668716453494653630302800,000$
12Greg Mckegg32XXX100.005844986972696768596563696169523033620341650,000$
13Dylan Coghlan52X99.0066459175737383734569687260685358596702831,500,000$
14Lucas Johansen (C)45X100.0055469972717872734570657660585058586602821,200,000$
15Olli Juolevi4X100.006044927269737164456666715459525437630283900,000$
16Tim Heed44X100.0058459970686765684569646763594922376203521,000,000$
17Ondrej Kachyna34X100.006545807273697162456358675161525459620281900,000$
18Mitchell Vande Sompel55X100.006646917170676566456261665945454651610292650,000$
Scratches
1Julien Gauthier32XX96.0069488879777083746870697360725558566702821,350,000$
2Nikita Korostelev81XX100.006245957372707068676465676261525428630292800,000$
3Josh Jooris48X100.005845977071666767616462666270532228620362900,000$
4Anderson Macdonald10XX100.007958657275716868665966656061536628620261900,000$
5Kirill Maksimov26XX100.006848727272676663626365606053515828610271750,000$
6Tyson Baillie74X100.004841897169646567756263654569635428610301900,000$
7Daniel Kurovsky50XX100.006149877273676665646064656151485628600282700,000$
8Keaton Middleton76X100.008274627277767467456766726057525446650281750,000$
9Leon Gawanke52X100.006447887172696969456765676345455443620272735,000$
10Jackson Millar (R)77X58.737649846974505066456666706348487046620253750,000$
TEAM AVERAGE98.32654888737269726959666669616051534664
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
1Jean-Francois Berube1100.007778777578768279808276545526606403531,200,000$
2Hunter Shepard37100.00605858786062626262625846524228520302500,000$
Scratches
1Alex D'orio31100.00787666797672817272747549595839610273700,000$
TEAM AVERAGE100.0072716777717075717173705055424259
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rob Murray70677480999951CAN582100,000$


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
1Nic PetanRangersC216111742042940112415.00%231414.990113150001123053.45%34800001.0800000221
2Zack OstapchukWolf Pack (NYR)C1531215114024203814217.89%324916.601346410000270051.35%33300001.2000000120
3Julien GauthierWolf Pack (NYR)LW/RW176814820171945203213.33%331818.722137480001332144.74%7600000.8800000031
4Lucas JohansenWolf Pack (NYR)D19681468051331132019.35%3345523.992241960000036010%000000.6100000201
5Timothy GettingerWolf Pack (NYR)LW/RW225510712033165411349.26%534015.491129600001102038.71%3100000.5900000101
6Austin PoganskiWolf Pack (NYR)LW/RW18639310019827132222.22%223513.0600003000012031.25%1600000.7700000101
7Dylan CoghlanWolf Pack (NYR)D22099314034203910200%2652423.850221962000041000%000000.3400000001
8James HardieWolf Pack (NYR)LW/RW224590802495312317.55%234715.81112754000000042.86%2100000.5200000010
9Ondrej KachynaWolf Pack (NYR)D22279114019121341015.38%2238517.5400021100007010%000000.4700000100
10Cole KoepkeWolf Pack (NYR)LW13628040241557163710.53%023818.3211212390001231137.50%2400000.6700000202
11Shane GersichWolf Pack (NYR)C/LW/RW20628-260231436143116.67%326213.1400000000001063.64%1100000.6100000010
12Mitchell Vande SompelWolf Pack (NYR)D140774401428480%1525117.9700005000314000%000000.5600000000
13Tomas JurcoWolf Pack (NYR)LW/RW22167-2005213018163.33%228713.0600016000000038.89%1800000.4900000001
14Jean-Christophe BeaudinWolf Pack (NYR)C171450006285114391.96%730317.8302212520000340051.02%39200000.3300000000
15Tim HeedWolf Pack (NYR)D13145-20047921011.11%1822517.31000218000011000%000000.4400000001
16Keaton MiddletonWolf Pack (NYR)D80440161011442100%914317.88000221000011000%000000.5600200001
17Stephen HallidayWolf Pack (NYR)C22224-76014264614324.35%026011.8600017000000049.17%30100000.3100000000
18Jackson MillarWolf Pack (NYR)D19044-31810181412660%2235418.68011448000031000%000000.2300101000
19Cole ReinhardtWolf Pack (NYR)LW22213-84026166515403.08%433215.120005320002180035.00%4000000.1800000001
20Tyler SteenbergenWolf Pack (NYR)C131231002714377.14%0796.0800012000000050.62%8100000.7600000000
21Liam FoudyRangersC/LW/RW71120001010186195.56%112117.38000122000080060.24%8300000.3300000000
22Olli JuoleviWolf Pack (NYR)D51122200351520.00%58917.8401131500003100%000000.4500000000
23Cole GuttmanRangersC/LW/RW3101-1000265716.67%27123.7110116000060058.33%6000000.2800000000
24Greg MckeggWolf Pack (NYR)C/LW/RW7011200528160%27811.1900000000000050.00%600000.2600000000
25Nikita KorostelevWolf Pack (NYR)LW/RW1011100121010%11515.05000000000000100.00%100001.3300000000
26Leon GawankeWolf Pack (NYR)D10011-540655270%1020120.11011020000122000%000000.1000000000
27Otto KoivulaRangersC2000-100046250%12713.7400012000000043.24%370000000000000
Team Total or Average3966111117222138203483287212335008.46%200651416.45917261186620001035912450.45%187900000.530030110912
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
1Daniel MarmenlindRangers159600.9102.65883023943500000154210
2Jean-Francois BerubeWolf Pack (NYR)73300.9052.84380001819000000610010
Team Total or Average2212900.9092.711264025762500002114220


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 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
Alex D'orioWolf Pack (NYR)G271999-04-28CANNo207 Lbs6 ft2NoNoTrade2025-05-01NoNo32026-05-12FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Link
Anderson MacdonaldWolf Pack (NYR)LW/RW262000-05-16CANNo205 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Austin PoganskiWolf Pack (NYR)LW/RW301996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Cole KoepkeWolf Pack (NYR)LW281998-05-17USAYes207 Lbs6 ft1NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Link
Cole ReinhardtWolf Pack (NYR)LW262000-02-01CANYes207 Lbs6 ft1NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Link
Daniel KurovskyWolf Pack (NYR)LW/RW281998-03-04CZENo211 Lbs6 ft3NoNoTrade2026-02-14NoNo22025-05-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Link
Dylan CoghlanWolf Pack (NYR)D281998-02-19CANNo190 Lbs6 ft2NoNoWaiver2025-11-02NoNo32026-05-12FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Greg MckeggWolf Pack (NYR)C/LW/RW341992-06-12CANNo195 Lbs6 ft0NoNoFree Agent2025-08-05NoNo12026-07-15FalseFalsePro & Farm650,000$0$0$No---------------------------Link
Hunter ShepardWolf Pack (NYR)G301995-11-07USANo215 Lbs6 ft0NoNoTrade2026-09-01NoNo22025-09-02FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Jackson Millar (Out of Payroll)Wolf Pack (NYR)D252000-11-30CANYes220 Lbs6 ft5NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$Yes750,000$750,000$-------750,000$750,000$-------NoNo-------Link
James HardieWolf Pack (NYR)LW/RW242002-01-18CANNo180 Lbs5 ft11NoNoTrade2024-01-27NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Jean-Christophe BeaudinWolf Pack (NYR)C291997-03-25CANNo198 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Jean-Francois BerubeWolf Pack (NYR)G351991-07-13CANNo177 Lbs6 ft1NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Josh JoorisWolf Pack (NYR)C361990-07-14CANNo197 Lbs6 ft1NoNoTrade2025-09-02NoNo22025-08-27FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Julien GauthierWolf Pack (NYR)LW/RW281997-10-15CANNo227 Lbs6 ft4NoNoTrade2026-01-11NoNo22026-05-12FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Link
Keaton MiddletonWolf Pack (NYR)D281998-02-10CANNo240 Lbs6 ft6NoNoProspectNoNo12024-06-03FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Kirill MaksimovWolf Pack (NYR)C/RW271999-06-01RUSNo207 Lbs6 ft3NoNoProspectNoNo12024-06-03FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Leon GawankeWolf Pack (NYR)D271999-05-31GERNo200 Lbs6 ft1NoNoFree Agent2025-06-05NoNo22026-07-08FalseFalsePro & Farm735,000$0$0$No735,000$--------735,000$--------No--------Link
Lucas JohansenWolf Pack (NYR)D281997-11-16CANNo176 Lbs6 ft2NoNoTrade2024-01-27NoNo22026-05-12FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Mitchell Vande SompelWolf Pack (NYR)D291997-02-11CANNo190 Lbs5 ft10NoNoFree AgentNoNo22026-07-08FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Link
Nikita KorostelevWolf Pack (NYR)LW/RW291997-02-08RUSNo205 Lbs6 ft1NoNoN/ANoNo22026-05-12FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Olli JuoleviWolf Pack (NYR)D281998-05-05FINNo182 Lbs6 ft2NoNoN/ANoNo32026-05-12FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Ondrej KachynaWolf Pack (NYR)D281998-04-30CZENo203 Lbs6 ft6NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Shane GersichWolf Pack (NYR)C/LW/RW301996-07-10USANo185 Lbs5 ft11NoNoWaiverNoNo22026-05-12FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Stephen HallidayWolf Pack (NYR)C242002-07-02CANYes214 Lbs6 ft4NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Tim HeedWolf Pack (NYR)D351991-01-27SWENo182 Lbs5 ft11NoNoTrade2026-07-06NoNo22025-07-23FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Timothy GettingerWolf Pack (NYR)LW/RW281998-04-14USANo220 Lbs6 ft6NoNoTrade2025-02-01NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Tomas JurcoWolf Pack (NYR)LW/RW331992-12-28SVKNo187 Lbs6 ft2NoNoTrade2026-07-06NoNo12024-07-24FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Tyler SteenbergenWolf Pack (NYR)C281998-01-07CANNo187 Lbs5 ft10NoNoTrade2023-12-29NoNo22025-05-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Tyson BaillieWolf Pack (NYR)C301995-11-16CANNo185 Lbs5 ft10NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Zack OstapchukWolf Pack (NYR)C232003-05-29CANYes212 Lbs6 ft4NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3128.68200 Lbs6 ft21.90939,839$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole KoepkeZack OstapchukJames Hardie25122
2Cole ReinhardtJean-Christophe BeaudinTimothy Gettinger25122
3Austin PoganskiStephen HallidayTomas Jurco25122
4Shane GersichTyler SteenbergenGreg Mckegg25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan CoghlanLucas Johansen25122
2Olli JuoleviTim Heed25122
3Ondrej KachynaMitchell Vande Sompel25122
4Dylan CoghlanLucas Johansen25122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole KoepkeZack OstapchukJames Hardie50122
2Cole ReinhardtJean-Christophe BeaudinTimothy Gettinger50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan CoghlanLucas Johansen50122
2Olli JuoleviTim Heed50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole KoepkeZack Ostapchuk50122
2Jean-Christophe BeaudinCole Reinhardt50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan CoghlanLucas Johansen50122
2Olli JuoleviTim Heed50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cole Koepke50122Dylan CoghlanLucas Johansen50122
2Zack Ostapchuk50122Olli JuoleviTim Heed50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole KoepkeZack Ostapchuk50122
2Jean-Christophe BeaudinCole Reinhardt50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan CoghlanLucas Johansen50122
2Olli JuoleviTim Heed50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Cole KoepkeZack OstapchukJames HardieDylan CoghlanLucas Johansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cole KoepkeZack OstapchukJames HardieDylan CoghlanLucas Johansen
Extra Forwards
Normal PowerPlayPenalty Kill
Stephen Halliday, Tyler Steenbergen, Austin PoganskiStephen Halliday, Tyler SteenbergenAustin Poganski
Extra Defensemen
Normal PowerPlayPenalty Kill
Ondrej Kachyna, Mitchell Vande Sompel, Olli JuoleviOndrej KachynaMitchell Vande Sompel, Olli Juolevi
Penalty Shots
Cole Koepke, Zack Ostapchuk, Jean-Christophe Beaudin, Cole Reinhardt, James Hardie
Goalie
#1 : Jean-Francois Berube, #2 : Hunter Shepard


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
OverallHome Visitor
# 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 RI
1Admirals11000000202000000000001100000020221.00024601202712230229253236326102235120.00%10100.00%038077149.29%37274649.87%19634856.32%529370511161283142
2Americans1010000013-2000000000001010000013-200.000123002027122292292532363163212600.00%110.00%038077149.29%37274649.87%19634856.32%529370511161283142
3Bears11000000422110000004220000000000021.0004711002027122382292532363327614400.00%3166.67%038077149.29%37274649.87%19634856.32%529370511161283142
4Checkers11000000312110000003120000000000021.00035800202712238229253236331111818500.00%3166.67%038077149.29%37274649.87%19634856.32%529370511161283142
5Condors10001000211100010002110000000000021.00024600202712240229253236331969200.00%30100.00%038077149.29%37274649.87%19634856.32%529370511161283142
6Crunch220000001192110000007611100000043141.000112132002027122752292532363692915406233.33%50100.00%038077149.29%37274649.87%19634856.32%529370511161283142
7Eagles1010000023-1000000000001010000023-100.000235002027122252292532363256216300.00%110.00%038077149.29%37274649.87%19634856.32%529370511161283142
8Firebirds11000000514000000000001100000051421.000510150020271222622925323632544192150.00%20100.00%038077149.29%37274649.87%19634856.32%529370511161283142
9Islanders1010000016-51010000016-50000000000000.0001120020271224022925323632454136116.67%20100.00%038077149.29%37274649.87%19634856.32%529370511161283142
10Marlies10001000431000000000001000100043121.000471100202712244229253236340549500.00%2150.00%038077149.29%37274649.87%19634856.32%529370511161283142
11Moose1010000002-2000000000001010000002-200.000000002027122302292532363268420200.00%20100.00%038077149.29%37274649.87%19634856.32%529370511161283142
12PenguinsF11000000312000000000001100000031221.000358002027122312292532363229613200.00%30100.00%038077149.29%37274649.87%19634856.32%529370511161283142
13Phantoms2020000069-31010000023-11010000046-200.00061117002027122642292532363742218315120.00%9366.67%038077149.29%37274649.87%19634856.32%529370511161283142
14Rocket22000000936110000003031100000063341.00091726012027122542292532363542018355120.00%9277.78%038077149.29%37274649.87%19634856.32%529370511161283142
15SenatorsF2110000046-21010000003-31100000043120.5004812002027122662292532363561710328112.50%5260.00%038077149.29%37274649.87%19634856.32%529370511161283142
16Wolves30300000412-81010000015-42020000037-400.00046100020271229122925323631043519447114.29%6350.00%038077149.29%37274649.87%19634856.32%529370511161283142
Total221010020006162-1944010002327-413660100038353240.54561111172022027122721229253236365520013834873912.33%571573.68%038077149.29%37274649.87%19634856.32%529370511161283142
_Since Last GM Reset221010020006162-1944010002327-413660100038353240.54561111172022027122721229253236365520013834873912.33%571573.68%038077149.29%37274649.87%19634856.32%529370511161283142
_Vs Conference1999010005558-3844000002126-511550100034322200.52655100155012027122626229253236357317512830063812.70%521473.08%038077149.29%37274649.87%19634856.32%529370511161283142
_Vs Division92300000322574020000013103521000001915440.2223260920120271223062292532363266856714635411.43%25772.00%038077149.29%37274649.87%19634856.32%529370511161283142

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2224W26111117272165520013834802
All Games
GPWLOTWOTL SOWSOLGFGA
22101020006162
Home Games
GPWLOTWOTL SOWSOLGFGA
94410002327
Visitor Games
GPWLOTWOTL SOWSOLGFGA
136610003835
Last 10 Games
WLOTWOTL SOWSOL
631000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
73912.33%571573.68%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22925323632027122
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
38077149.29%37274649.87%19634856.32%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
529370511161283142


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 - 2025-08-263Wolf Pack4Crunch3WBox score
3 - 2025-08-2821Wolf Pack4Marlies3WXBox score
4 - 2025-08-2930Checkers1Wolf Pack3WBox score
6 - 2025-08-3147Wolf Pack2Wolves4LBox score
8 - 2025-09-0266Wolves5Wolf Pack1LBox score
10 - 2025-09-0486Wolf Pack4Phantoms6LBox score
12 - 2025-09-0698SenatorsF3Wolf Pack0LBox score
13 - 2025-09-07108Wolf Pack1Americans3LBox score
16 - 2025-09-10125Wolf Pack4SenatorsF3WBox score
17 - 2025-09-11131Wolf Pack0Moose2LBox score
19 - 2025-09-13147Rocket0Wolf Pack3WBox score
22 - 2025-09-16168Wolf Pack1Wolves3LBox score
23 - 2025-09-17175Islanders6Wolf Pack1LBox score
26 - 2025-09-20201Condors1Wolf Pack2WXBox score
28 - 2025-09-22211Wolf Pack3PenguinsF1WBox score
30 - 2025-09-24231Wolf Pack5Firebirds1WBox score
31 - 2025-09-25237Crunch6Wolf Pack7WBox score
34 - 2025-09-28259Wolf Pack6Rocket3WBox score
36 - 2025-09-30271Phantoms3Wolf Pack2LBox score
38 - 2025-10-02286Wolf Pack2Eagles3LBox score
40 - 2025-10-04298Wolf Pack2Admirals0WBox score
41 - 2025-10-05304Bears2Wolf Pack4WBox score
44 - 2025-10-08325Wolf Pack-Wolves-
45 - 2025-10-09336Bears-Wolf Pack-
48 - 2025-10-12352Wolf Pack-Firebirds-
49 - 2025-10-13367Monsters-Wolf Pack-
52 - 2025-10-16386Wolf Pack-SenatorsF-
54 - 2025-10-18400Icehogs-Wolf Pack-
56 - 2025-10-20418Wolf Pack-Phantoms-
58 - 2025-10-22431Crunch-Wolf Pack-
60 - 2025-10-24448Wolf Pack-Americans-
62 - 2025-10-26462Condors-Wolf Pack-
65 - 2025-10-29482Wolf Pack-Americans-
67 - 2025-10-31495SenatorsF-Wolf Pack-
69 - 2025-11-02516Wolf Pack-Condors-
71 - 2025-11-04527Reign-Wolf Pack-
74 - 2025-11-07551Wolf Pack-Rocket-
75 - 2025-11-08560Barracuda-Wolf Pack-
78 - 2025-11-11587Wranglers-Wolf Pack-
80 - 2025-11-13595Wolf Pack-Griffins-
82 - 2025-11-15615Wolf Pack-Thunderbirds-
83 - 2025-11-16624Canucks-Wolf Pack-
87 - 2025-11-20652Iowa Wild-Wolf Pack-
89 - 2025-11-22663Wolf Pack-Silver Knights-
91 - 2025-11-24676Wolf Pack-Bears-
92 - 2025-11-25685Marlies-Wolf Pack-
96 - 2025-11-29715Marlies-Wolf Pack-
98 - 2025-12-01728Wolf Pack-Checkers-
100 - 2025-12-03744Islanders-Wolf Pack-
102 - 2025-12-05754Wolf Pack-Crunch-
105 - 2025-12-08779PenguinsF-Wolf Pack-
107 - 2025-12-10787Wolf Pack-Moose-
109 - 2025-12-12806Wolf Pack-BruinsF-
110 - 2025-12-13813Checkers-Wolf Pack-
113 - 2025-12-16837Wolf Pack-BruinsF-
114 - 2025-12-17845Phantoms-Wolf Pack-
117 - 2025-12-20863Wolf Pack-Roadrunners-
119 - 2025-12-22878PenguinsF-Wolf Pack-
120 - 2025-12-23891Wolf Pack-PenguinsF-
123 - 2025-12-26908Wolf Pack-Comets-
124 - 2025-12-27916Rocket-Wolf Pack-
127 - 2025-12-30940Americans-Wolf Pack-
128 - 2025-12-31944Moose-Wolf Pack-
130 - 2026-01-02959Wolf Pack-Bears-
131 - 2026-01-03973Moose-Wolf Pack-
136 - 2026-01-081005Comets-Wolf Pack-
140 - 2026-01-121032Wolf Pack-Islanders-
141 - 2026-01-131040Comets-Wolf Pack-
144 - 2026-01-161062BruinsF-Wolf Pack-
146 - 2026-01-181077Wolf Pack-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2026-01-201095StarsF-Wolf Pack-
150 - 2026-01-221107Wolf Pack-Monsters-
153 - 2026-01-251128Wolves-Wolf Pack-
156 - 2026-01-281146Wolf Pack-Crunch-
157 - 2026-01-291158Wolf Pack-Islanders-
159 - 2026-01-311169BruinsF-Wolf Pack-
162 - 2026-02-031191Firebirds-Wolf Pack-
166 - 2026-02-071216Wolves-Wolf Pack-
167 - 2026-02-081226Wolf Pack-Moose-
171 - 2026-02-121250Gulls-Wolf Pack-
175 - 2026-02-161281Firebirds-Wolf Pack-
176 - 2026-02-171287Wolf Pack-Comets-
180 - 2026-02-211312Americans-Wolf Pack-
182 - 2026-02-231334Wolf Pack-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4530
Attendance18,0009,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 3000 - 100.00% 178,800$1,609,200$3000125

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
736,695$ 2,838,500$ 2,838,500$ 100,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 713,315$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,900,400$ 141 15,970$ 2,251,770$




Wolf Pack 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

Wolf Pack Goalies Stat Leaders (Regular Season)

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

Wolf Pack 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

Wolf Pack 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

Wolf Pack Goalies Stat Leaders (Play-Off)

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