Please rotate your device to landscape mode for a better experience.
Login

Wolves
GP: 76 | W: 45 | L: 25 | OTL: 6 | P: 96
GF: 259 | GA: 221 | PP%: 17.40% | PK%: 83.72%
GM : Yves Jobidon | Morale : 90 | Team Overall : 59
Next Games #1189 vs Chiwawa

Game Center
Farmers
37-37-4, 78pts		3
Box score
 1 Wolves
45-25-6, 96pts
Team Stats
L2StreakW1
17-19-2Home Record21-13-4
20-18-2Home Record24-12-2
4-4-2Last 10 Games6-3-1
3.32Goals Per Game3.41
3.51Goals Against Per Game2.91
18.55%Power Play Percentage17.40%
84.32%Penalty Kill Percentage83.72%
Wolves
45-25-6, 96pts		3
Box score
 2 Predateurs
33-32-11, 77pts
Team Stats
W1StreakL1
21-13-4Home Record19-13-6
24-12-2Home Record14-19-5
6-3-1Last 10 Games4-4-2
3.41Goals Per Game2.99
2.91Goals Against Per Game3.36
17.40%Power Play Percentage14.57%
83.72%Penalty Kill Percentage82.82%
Wolves
45-25-6, 96pts
Day 97
 Chiwawa
37-28-11, 85pts
Team Stats
W1StreakW1
21-13-4Home Record20-12-6
24-12-2Away Record17-16-5
6-3-1Last 10 Games8-1-1
3.41Goals Per Game2.86
2.91Goals Against Per Game2.86
17.40%Power Play Percentage15.96%
83.72%Penalty Kill Percentage84.15%
Grizzlies
45-25-6, 96pts
Day 98
 Wolves
45-25-6, 96pts
Team Stats
W1StreakW1
25-9-4Home Record21-13-4
20-16-2Away Record24-12-2
6-3-1Last 10 Games6-3-1
3.72Goals Per Game3.41
3.11Goals Against Per Game3.41
16.71%Power Play Percentage17.40%
83.29%Penalty Kill Percentage83.72%
Wolves
45-25-6, 96pts
Day 99
 Sags
33-38-7, 73pts
Team Stats
W1StreakSOL1
21-13-4Home Record20-16-2
24-12-2Away Record13-22-5
6-3-1Last 10 Games3-5-2
3.41Goals Per Game2.45
2.91Goals Against Per Game2.45
17.40%Power Play Percentage16.85%
83.72%Penalty Kill Percentage82.98%
Team Leaders
Egor ZamulaGoals
Egor Zamula
17		 Egor ZamulaAssists
Egor Zamula
48
Egor ZamulaPoints
Egor Zamula
65		 Egor ZamulaPlus/Minus
Egor Zamula
11

Team Stats
Goals For
259
3.41 GFG		 Shots For
2727
35.88 Avg		 Power Play Percentage
17.4%
63 GF		 Offensive Zone Start
42.6%
Goals Against
221
2.91 GAA		 Shots Against
2416
31.79 Avg		 Penalty Kill Percentage
83.7%%
64 GA		 Defensive Zone Start
39.9%
Team Info

General ManagerYves Jobidon
CoachPascal Vincent
DivisionDivision Ouest
ConferenceConference 2
CaptainCal Clutterbuck
Assistant #1
Assistant #2Kyle MacLean


Arena Info

Capacity3,000
Attendance2,993
Season Tickets300


Roster Info

Pro Team17
Farm Team20
Contract Limit37 / 50
Prospects28


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
1Eeli TolvanenX100.009948878551729863305273728085760906702631,900,000$
2Kyle MacLean (R) (A)X100.00764590786350985178475459658572090620263800,000$
3Fedor Svechkov (R)X100.005945888258646358675463576882720906202251,000,000$
4Cole Schwindt (R)X100.00684595777050515381545258668370090600243840,000$
5Tye KartyeX100.009948767963507653304958616683700906002451,200,000$
6Ryan JohansenX100.00504580798050404583405055509182090570334800,000$
7Clark BishopX100.00544595766550404730405465508976090550291775,000$
8Arshdeep Bains (R)X100.00654595785653404730405457508472090540242800,000$
9Cal Clutterbuck (C)X100.005045847771504045304050555096850905403711,400,000$
10Jacob Gaucher (R)X100.005045957863504045304050625084710905402443,000,000$
11Damien Giroux (R)X100.00504595786050404530405055508374090520255800,000$
12Egor ZamulaX100.005445928165697656305656696785760906502531,000,000$
13Victor Mancini (R)X100.00744586788064405730565859678271090630235800,000$
14Hunter Drew (R)X100.00504595776050404530405055508572090560265800,000$
15Nick Cicek (R)X100.00504595806050404530405055508270090560255800,000$
Scratches
TEAM AVERAGE100.0063459079645555504346556059857409058
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
1James Reimer100.00755880877574747575717096880906703741,100,000$
2Laurent Brossoit100.00704040916565656565656590820905903211,200,000$
Scratches
TEAM AVERAGE100.007349608970707070706868938509063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pascal Vincent65656565877766CAN551400,000$


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
1Egor ZamulaWolves (STL)D691748651152099144140368712.14%106146021.1797165499011088100%300000.89130001263
2Ryan JohansenWolves (STL)C5315153051803513282205218.29%588816.7703315670000732167.14%113200100.6803000485
Team Total or Average122326395167001342762225613914.41%111234919.26910196916601101613166.96%113500100.811600016148
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


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 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
Arshdeep BainsWolves (STL)C242001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$--------800,000$--------No--------NHL Link
Cal ClutterbuckWolves (STL)LW371987-11-18CANNo215 Lbs5 ft11NoNoWaiverNoNo12026-03-08FalseFalsePro & Farm1,400,000$155,556$0$0$No---------------------------NHL Link
Clark BishopWolves (STL)C291996-03-29CANNo197 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No---------------------------NHL Link
Cole SchwindtWolves (STL)LW242001-04-25CANYes182 Lbs6 ft2NoNoTrade2025-10-24NoNo32026-03-08FalseFalsePro & Farm840,000$93,333$0$0$No840,000$840,000$-------840,000$840,000$-------NoNo-------NHL Link
Damien GirouxWolves (STL)RW252000-03-03CANYes179 Lbs5 ft10NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Eeli TolvanenWolves (STL)LW261999-04-22FINNo191 Lbs5 ft10NoNoTrade2026-01-17NoNo32026-03-08FalseFalsePro & Farm1,900,000$211,111$0$0$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------NHL Link
Egor ZamulaWolves (STL)D252000-03-30RUSNo200 Lbs6 ft3NoNoN/ANoNo32026-03-08FalseFalsePro & Farm1,000,000$111,111$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------NHL Link
Fedor SvechkovWolves (STL)RW222003-04-05SWEYes187 Lbs6 ft0NoNoTrade2025-11-21NoNo52026-03-08FalseFalsePro & Farm1,000,000$111,111$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----NHL Link
Hunter DrewWolves (STL)D261998-10-21CANYes191 Lbs6 ft2NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Jacob GaucherWolves (STL)C242001-03-09USAYes185 Lbs6 ft3NoNoTrade2025-11-21NoNo42026-03-08FalseFalsePro & Farm3,000,000$333,333$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------NHL Link
James ReimerWolves (STL)G371988-03-15CANNo205 Lbs6 ft3NoNoTrade2026-01-05NoNo42026-03-08FalseFalsePro & Farm1,100,000$122,222$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------NHL Link
Kyle MacLeanWolves (STL)C261999-04-29USAYes190 Lbs6 ft1NoNoTrade2025-10-24NoNo32026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------NHL Link
Laurent BrossoitWolves (STL)G321993-03-23CANNo215 Lbs6 ft3NoNoN/ANoNo12026-03-08FalseFalsePro & Farm1,200,000$133,333$0$0$No---------------------------NHL Link
Nick CicekWolves (STL)D252000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Ryan JohansenWolves (STL)C331992-07-31CANNo218 Lbs6 ft3NoNoAssign Manually2024-12-05NoNo42026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------NHL Link
Tye KartyeWolves (STL)RW242001-04-30CANNo202 Lbs5 ft11NoNoN/ANoNo52026-03-08FalseFalsePro & Farm1,200,000$133,333$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----NHL Link
Victor ManciniWolves (STL)D232002-05-26USAYes229 Lbs6 ft3NoNoDraftNoNo52026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1727.18198 Lbs6 ft13.471,118,529$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
325122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
325122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Bandits3120000079-22020000026-41100000053220.33371320009090736118894932876348321265918211.11%13284.62%01518277154.78%1388259253.55%621113554.71%191513891809520866431
2Barracudas22000000817110000004131100000040441.0008152301909073675894932876345018205011218.18%10190.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
3Bayou22000000963110000004311100000053241.000916250090907367089493287634761928379222.22%14378.57%01518277154.78%1388259253.55%621113554.71%191513891809520866431
4Chiwawa1000000134-11000000134-10000000000010.50036900909073634894932876341671624100.00%80100.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
5CoolFm320000101156210000108531100000030361.00011193001909073692894932876349623447218422.22%22386.36%01518277154.78%1388259253.55%621113554.71%191513891809520866431
6Farmers3120000057-21010000013-22110000044020.333591410909073699894932876349817429214214.29%20195.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
7Goons321000001183110000004132110000077040.667112031109090736110894932876347527377912541.67%15380.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
8Grizzlies20200000510-50000000000020200000510-500.00058130090907366689493287634671919509222.22%7271.43%11518277154.78%1388259253.55%621113554.71%191513891809520866431
9Hunters3100110015132200011008801100000075250.8331529440090907361068949328763412338387613323.08%18477.78%01518277154.78%1388259253.55%621113554.71%191513891809520866431
10Husky302010001011-1100010004312020000068-220.333101929009090736118894932876341162539891119.09%17476.47%01518277154.78%1388259253.55%621113554.71%191513891809520866431
11Igloos321000001293211000007611100000053240.6671223350090907361288949328763410321366113323.08%16381.25%01518277154.78%1388259253.55%621113554.71%191513891809520866431
12Marlies320010001486100010005412200000094561.000142842009090736113894932876348634309420630.00%15286.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
13Marmots32100000651110000003212110000033040.66761016009090736898949328763453164266900.00%19384.21%01518277154.78%1388259253.55%621113554.71%191513891809520866431
14Outlaws2010000137-41010000014-31000000123-110.250358009090736818949328763470271955600.00%70100.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
15Predateurs210001005501000010023-11100000032130.750510150090907369589493287634661212421317.69%6266.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
16Raptors22000000853110000004221100000043141.0008152300909073666894932876345611285713323.08%13284.62%01518277154.78%1388259253.55%621113554.71%191513891809520866431
17Rockets330000001394220000008621100000053261.0001326390090907361028949328763410536397613323.08%15193.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
18Sags11000000633110000006330000000000021.00061218009090736548949328763431710237228.57%50100.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
19Scorpions30101100913-41010000015-42000110088030.5009172600909073692894932876349131247219210.53%11281.82%01518277154.78%1388259253.55%621113554.71%191513891809520866431
20Smirnoff Ice3120000011920000000000031200000119220.33311213201909073685894932876341073136718112.50%18194.44%11518277154.78%1388259253.55%621113554.71%191513891809520866431
21Snowbirds2110000068-21010000036-31100000032120.50061117009090736688949328763475233148300.00%12191.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
22Spartans3110100078-11010000014-32100100064240.66771320009090736107894932876341022023771119.09%9366.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
23Supreme220000001257110000006331100000062441.00012223400909073676894932876348429264112325.00%12283.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
24Thugs21100000532110000005141010000002-220.5005101500909073678894932876347621203613215.38%10190.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
25TigersCats312000001013-32110000089-11010000024-220.3331019290090907361088949328763410731328122522.73%15660.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
26Twins210001007701000010034-11100000043130.750714210090907367489493287634621428431000.00%13284.62%11518277154.78%1388259253.55%621113554.71%191513891809520866431
27Vandals211000006511010000013-21100000052320.50061117109090736708949328763438111448500.00%6183.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
28Vipers21100000871110000005321010000034-120.5008152300909073680894932876346121323916212.50%10280.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
29Warriors5410000015784310000011561100000042280.80015284301909073617189493287634112314913618422.22%22290.91%01518277154.78%1388259253.55%621113554.71%191513891809520866431
30Xpress31200000121112020000079-21100000052320.3331224360090907361028949328763413144326715213.33%15566.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
Total76392505412259221383817130331112511693822120210113410529960.632259488747349090736272789493287634241668587218613626317.40%3936483.72%61518277154.78%1388259253.55%621113554.71%191513891809520866431
_Since Last GM Reset76392505412259221383817130331112511693822120210113410529960.632259488747349090736272789493287634241668587218613626317.40%3936483.72%61518277154.78%1388259253.55%621113554.71%191513891809520866431
_Vs Conference3016702302102871515750020149490159202101533815410.6831021922941190907361120894932876349542713316921492013.42%1462284.93%31518277154.78%1388259253.55%621113554.71%191513891809520866431
_Vs Division14830020146388732002002021-17510000126179190.67946861321190907365458949328763442312215331470710.00%661183.33%21518277154.78%1388259253.55%621113554.71%191513891809520866431

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7696W125948874727272416685872186134
All Games
GPWLOTWOTL SOWSOLGFGA
7639255412259221
Home Games
GPWLOTWOTL SOWSOLGFGA
3817133311125116
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3822122101134105
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3626317.40%3936483.72%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
894932876349090736
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1518277154.78%1388259253.55%621113554.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
191513891809520866431


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
19Warriors2Wolves1LBox score
219Wolves4Smirnoff Ice0WBox score
442Wolves2Husky3LBox score
551Warriors2Wolves4WBox score
675Rockets3Wolves4WBox score
778Wolves4Spartans3WXBox score
9106Hunters4Wolves5WXBox score
10113Wolves5Marlies2WBox score
12132CoolFm3Wolves4WXXBox score
13151Wolves2Farmers3LBox score
14165Xpress4Wolves3LBox score
15179Wolves2Scorpions3LXBox score
17195Igloos1Wolves5WBox score
18216Wolves2Grizzlies6LBox score
19221Wolves6Goons4WBox score
20237Bandits2Wolves0LBox score
22256Wolves3CoolFm0WBox score
23266Vandals3Wolves1LBox score
24285Wolves5Xpress2WBox score
25295Wolves5Vandals2WBox score
26309Barracudas1Wolves4WBox score
27329Wolves6Scorpions5WXBox score
28340Outlaws4Wolves1LBox score
29361Bandits4Wolves2LBox score
31379Wolves5Rockets3WBox score
32393Wolves4Marlies2WBox score
33401Bayou3Wolves4WBox score
35416Wolves3Vipers4LBox score
36429Wolves4Raptors3WBox score
37444Warriors0Wolves3WBox score
38462Thugs1Wolves5WBox score
39480CoolFm2Wolves4WBox score
41502Wolves0Thugs2LBox score
42514Goons1Wolves4WBox score
43533Wolves2TigersCats4LBox score
44536Wolves5Bayou3WBox score
45551TigersCats3Wolves5WBox score
46575Chiwawa4Wolves3LXXBox score
47586Wolves7Hunters5WBox score
48608Husky3Wolves4WXBox score
50623Wolves4Barracudas0WBox score
51636Warriors1Wolves3WBox score
52655Wolves5Igloos3WBox score
53659Wolves1Goons3LBox score
54678Igloos5Wolves2LBox score
55693Wolves4Husky5LBox score
56704Wolves3Grizzlies4LBox score
57714Snowbirds6Wolves3LBox score
58737Raptors2Wolves4WBox score
60760Wolves4Smirnoff Ice5LBox score
61774Rockets3Wolves4WBox score
62790Wolves2Outlaws3LXXBox score
63801Spartans4Wolves1LBox score
65823Wolves4Twins3WBox score
66833Vipers3Wolves5WBox score
67850Wolves2Spartans1WBox score
69863Xpress5Wolves4LBox score
70886Wolves3Smirnoff Ice4LBox score
71893Twins4Wolves3LXBox score
73918Marlies4Wolves5WXBox score
75932Wolves0Marmots1LBox score
76948Sags3Wolves6WBox score
77953Wolves2Farmers1WBox score
78976Wolves4Warriors2WBox score
79984Predateurs3Wolves2LXBox score
80995Wolves6Supreme2WBox score
821020Hunters4Wolves3LXBox score
831040TigersCats6Wolves3LBox score
841051Wolves5Bandits3WBox score
861071Wolves3Marmots2WBox score
871081Supreme3Wolves6WBox score
891104Marmots2Wolves3WBox score
901117Wolves3Snowbirds2WBox score
921138Scorpions5Wolves1LBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
941159Farmers3Wolves1LBox score
951167Wolves3Predateurs2WBox score
971189Wolves-Chiwawa-
981200Grizzlies-Wolves-
991206Wolves-Sags-
1021229Smirnoff Ice-Wolves-
1071255Smirnoff Ice-Wolves-
1081271Wolves-Sags-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance75,81837,934
Attendance PCT99.76%99.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
3 2993 - 99.78% 101,768$3,867,168$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,102,416$ 1,901,500$ 1,901,500$ 400,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,746,832$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
305,303$ 12 21,310$ 255,720$




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





Website created by the SimonT Hockey Simulator (STHS) for Michael Langlois - Version Française du Site Web - The database was created : 21/07/2026 00:36:25