Association Québécoise de Hockey Simulé - Wolves 

Wolves

GP: 5 | W: 3 | L: 0 | OTL: 2 | P: 8
GF: 13 | GA: 11 | PP%: 25.00% | PK%: 73.33%
GM : Gabriel Drolet | Morale : 90 | Team Overall : 58
Next Games #96 vs Vandals
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
Scratches
1Pius SuterX100.00574593835370955777506587778677090680
2Carl GrundstromX100.00994587816354695930506761688573090630
3Brad MaloneX100.00754587737850404530405072509380090580
4Carson Meyer (R)X100.00754587785650404730445066508572090560
5Damien Giroux (R)X100.00504592785170404730445064508374090550
6Hayden Hodgson (R)X100.00504595747450404530405060508774090540
7Nick CaamanoX100.00504595767250404530405055508572090530
8Maksim Sushko (R)X100.00504595756950404530405055508471090530
9Shane Gersich (R)X100.00504595795250404530405055508774090530
10Clark BishopX100.00504595766750404530405055508774090530
11Riley Damiani (R)X100.00504595804750404530405055508370090520
12Conor Timmins (R)X100.00654587896663406830765955708473090660
13Nick Cicek (R)X100.00784875806760405330565071668270090630
14Egor Zamula (R)X100.00564592835556405330565064668371090600
15Grant HuttonX100.00504595757250404530405055508875090570
16Mark PysykX100.00504595766250404530405055509178090570
17Hunter Drew (R)X100.00504595776050404530405055508572090560
18Louie Belpedio (R)X100.00504595775450404530405055508774090560
TEAM AVERAGE100.0059459278625445493345526155867409057
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
Scratches
1Laurent Brossoit100.0081507691827981798277708978090690
2Jaxson Stauber (R)100.0070507582727070707270708371090620
TEAM AVERAGE100.007650768777757675777470867509066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo65656565847872CAN501800,000$


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 NamePOS GP 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
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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Brad MaloneWolves (STL)C341989-05-20No217 Lbs6 ft2NoNoNo1UFAPro & Farm776,000$0$0$No
Carl GrundstromWolves (STL)RW251997-12-01No195 Lbs6 ft0NoNoNo1RFAPro & Farm1,500,000$0$0$No
Carson MeyerWolves (STL)RW261997-08-18Yes184 Lbs5 ft11NoNoNo2RFAPro & Farm951,000$0$0$No
Clark BishopWolves (STL)C271996-03-29No197 Lbs6 ft1NoNoNo5RFAPro & Farm775,000$0$0$No
Conor TimminsWolves (STL)D251998-09-18Yes202 Lbs6 ft2NoNoNo2RFAPro & Farm1,200,000$0$0$No
Damien GirouxWolves (STL)C232000-03-03Yes179 Lbs5 ft10NoNoNo4RFAPro & Farm775,000$0$0$No
Egor ZamulaWolves (STL)D232000-03-30Yes177 Lbs6 ft3NoNoNo1RFAPro & Farm800,000$0$0$No
Grant HuttonWolves (STL)D281995-07-25No207 Lbs6 ft4NoNoNo2UFAPro & Farm951,000$0$0$No
Hayden HodgsonWolves (STL)RW271996-03-02Yes208 Lbs6 ft2NoNoNo2RFAPro & Farm1,333,000$0$0$No
Hunter DrewWolves (STL)D241998-10-21Yes191 Lbs6 ft2NoNoNo1RFAPro & Farm700,000$0$0$No
Jaxson StauberWolves (STL)G241999-04-27Yes174 Lbs6 ft3NoNoNo1RFAPro & Farm775,000$0$0$No
Laurent BrossoitWolves (STL)G301993-03-23No215 Lbs6 ft3NoNoNo5UFAPro & Farm1,200,000$0$0$No
Louie BelpedioWolves (STL)D261996-10-12Yes191 Lbs5 ft11NoNoNo2RFAPro & Farm775,000$0$0$No
Maksim SushkoWolves (STL)RW241999-02-10Yes206 Lbs6 ft0NoNoNo1RFAPro & Farm750,000$0$0$No
Mark PysykWolves (STL)D311992-01-11No198 Lbs6 ft1NoNoNo1UFAPro & Farm2,000,000$0$0$No
Nick CaamanoWolves (STL)LW251998-09-07No200 Lbs6 ft3NoNoNo2RFAPro & Farm775,000$0$0$No
Nick CicekWolves (STL)D232000-05-29Yes201 Lbs6 ft3NoNoNo4RFAPro & Farm775,000$0$0$No
Pius SuterWolves (STL)LW271996-05-24No179 Lbs5 ft11NoNoNo1RFAPro & Farm3,000,000$0$0$No
Riley DamianiWolves (STL)C232000-03-20Yes170 Lbs5 ft10NoNoNo1RFAPro & Farm800,000$0$0$No
Shane GersichWolves (STL)LW261996-10-12Yes175 Lbs5 ft11NoNoNo2RFAPro & Farm1,111,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2026.05193 Lbs6 ft12.051,086,100$



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
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
1Bayou1000010023-11000010023-10000000000010.5002460034601716354721388176116.67%4175.00%0438451.19%305851.72%426663.64%14811394326032
2Outlaws11000000211000000000001100000021121.000235003460161635472232212600.00%10100.00%0438451.19%305851.72%426663.64%14811394326032
3Predateurs1000010034-11000010034-10000000000010.50036900346020163547227131753266.67%6266.67%0438451.19%305851.72%426663.64%14811394326032
Total5300020013112310002008802200000053280.80013233600346010016354728828355424625.00%15473.33%0438451.19%305851.72%426663.64%14811394326032
5Vipers22000000633110000003121100000032141.000610160034604716354722558209333.33%4175.00%0438451.19%305851.72%426663.64%14811394326032
_Since Last GM Reset5300020013112310002008802200000053280.80013233600346010016354728828355424625.00%15473.33%0438451.19%305851.72%426663.64%14811394326032
_Vs Conference5300020013112310002008802200000053280.80013233600346010016354728828355424625.00%15473.33%0438451.19%305851.72%426663.64%14811394326032
_Vs Division5300020013112310002008802200000053280.80013233600346010016354728828355424625.00%15473.33%0438451.19%305851.72%426663.64%14811394326032

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
58W21323361008828355400
All Games
GPWLOTWOTL SOWSOLGFGA
53002001311
Home Games
GPWLOTWOTL SOWSOLGFGA
310020088
Visitor Games
GPWLOTWOTL SOWSOLGFGA
220000053
Last 10 Games
WLOTWOTL SOWSOL
300200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24625.00%15473.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16354723460
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
438451.19%305851.72%426663.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
14811394326032


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2024-03-243Predateurs4Wolves3LXBoxScore
2 - 2024-03-2526Wolves3Vipers2WBoxScore
3 - 2024-03-2636Bayou3Wolves2LXBoxScore
5 - 2024-03-2863Vipers1Wolves3WBoxScore
6 - 2024-03-2974Wolves2Outlaws1WBoxScore
8 - 2024-03-3196Vandals-Wolves-
9 - 2024-04-01110Wolves-Twins-
10 - 2024-04-02125Twins-Wolves-
11 - 2024-04-03138Wolves-Bayou-
12 - 2024-04-04145Wolves-Barracudas-
13 - 2024-04-05164Barracudas-Wolves-
14 - 2024-04-06169Wolves-Predateurs-
Trade Deadline --- Trades can’t be done after this day is simulated!
17 - 2024-04-09195Outlaws-Wolves-
18 - 2024-04-10207Wolves-Vandals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,172,200$ 2,172,200$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 15 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
45823329094432502262441151505312120118241181404131130108229925046671601548210118162341253164262169556312159322143114.49%2986279.19%10591115851.04%651118954.75%716127656.11%2379177215275571076549
4682373103821243278-3541181601321126141-1541191502500117137-2093243458701316582918161846550962537192662412949352264218.58%3428874.27%8650119954.21%696134251.86%689128253.74%2410180414685611079548
Total Regular Season16470600121264493504-1182333106633246259-13823729066312472452192493924141732119164192263241877104012679936211187250918674407316.59%64015076.56%181241235752.65%1347253153.22%1405255854.93%479035772995111821561098
Playoff
45514000001119-82110000066030300000513-82112132005330100244630011037346421419.05%11463.64%1527866.67%366753.73%438451.19%14310795336333
Total Playoff514000001119-82110000066030300000513-82112132005330100244630011037346421419.05%11463.64%1527866.67%366753.73%438451.19%14310795336333