Association Québécoise de Hockey Simulé - Vipers 

Vipers

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 9 | GA: 13 | PP%: 13.33% | PK%: 73.33%
GM : Martin Sauvageau | Morale : 90 | Team Overall : 57
Next Games #82 vs Predateurs
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
1Denis MalginX100.00704592835155785830506661688674090610
2Filip ZadinaX100.00624586806166405530515867668373090590
3Darren Raddysh (R)X100.00744590796369405230485658668777090580
4Frederik GauthierX100.00504595719650404530405055508875090550
5Nolan Foote (R)X100.00514595767050404730405455508269090540
6Nail YakupovX100.00504595766250404530405055509077090530
7Hunter ShinkarukX100.00504595785350404530405055508976090530
8Nolan PatrickX100.00504595767150404530405055508572090530
9Spencer FooX100.00504595776150404530405055508976090530
10Tyler EnnisX100.00504595804050404530405055509481090520
11Jacob MacDonaldX100.00734884776350705130505257659078090620
12Derrick PouliotX100.00574587775971404930485066508980090610
13Cale Fleury (R)X100.00784592756555404730445057508472090590
14Dan RenoufX100.00504595766250404530405057508876090570
15Lassi Thomson (R)X100.00504590775650404530405058508270090560
16Trevor Murphy (R)X100.00504595784750404530405055508875090560
Scratches
1Paul Cotter (R)X100.00994888797664665830476956788373090630
2Anders BjorkX100.00544592846169406130655873688677090630
TEAM AVERAGE100.0059459278625645493045545856877509057
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
1Malcolm Subban100.0070404091656565656565658876090590
2Michael McNiven (R)100.0070404086656565656565658471090580
Scratches
1Oscar Dansk100.0070404089656565656565658673090580
TEAM AVERAGE100.007040408965656565656565867309058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner65656565877766CAN5331,000,000$


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
1Denis MalginVipers (ANA)RW51231203112298.33%4489.6900000000010025.00%821001.2400000200
2Filip ZadinaVipers (ANA)RW51232404414377.14%45811.7100000000000033.33%336001.0200000010
3Nolan FooteVipers (ANA)C51121001630133.33%2448.9100000000000046.07%8910000.9000000002
4Lassi ThomsonVipers (ANA)D5011100031010.00%56713.410000200000000.00%002000.3000000100
5Cale FleuryVipers (ANA)D5000000412010.00%28817.710000400008000.00%002000.0000000000
6Derrick PouliotVipers (ANA)D4000-400142020.00%910526.26000010000012000.00%014000.0000000000
7Frederik GauthierVipers (ANA)C4000-100135010.00%18320.8500029000000032.26%3101000.0000000000
8Nolan PatrickVipers (ANA)C5000100010000.00%0173.4800000000010025.00%1200000.0000000000
9Spencer FooVipers (ANA)LW5000-100163120.00%08316.680001600000000.00%302000.0000000010
10Trevor MurphyVipers (ANA)D5000140310120.00%16813.660000000002000.00%012000.0000000001
Team Total or Average4836911001830427267.14%2866413.850003320000280039.04%146820000.2700000323
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
1Malcolm SubbanVipers (ANA)31200.9212.011790067643000.000035020
Team Total or Average31200.9212.011790067643000.000035020


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
Anders BjorkVipers (ANA)RW271996-08-05No190 Lbs6 ft0NoNoNo5RFAPro & Farm800,000$0$0$No
Cale FleuryVipers (ANA)D241998-11-19Yes204 Lbs6 ft1NoNoNo1RFAPro & Farm700,000$0$0$No
Dan RenoufVipers (ANA)D291994-06-01No198 Lbs6 ft1NoNoNo2UFAPro & Farm700,000$0$0$No
Darren RaddyshVipers (ANA)RW271996-02-28Yes200 Lbs6 ft1NoNoNo5RFAPro & Farm1,000,000$0$0$No
Denis MalginVipers (ANA)RW261997-01-18No182 Lbs5 ft9NoNoNo4RFAPro & Farm750,000$0$0$No
Derrick PouliotVipers (ANA)D291994-01-16No196 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$No
Filip ZadinaVipers (ANA)RW231999-11-27No190 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$No
Frederik GauthierVipers (ANA)C281995-04-26No239 Lbs6 ft5NoNoNo3UFAPro & Farm750,000$0$0$No
Hunter ShinkarukVipers (ANA)LW281994-10-12No181 Lbs5 ft10NoNoNo4UFAPro & Farm750,000$0$0$No
Jacob MacDonaldVipers (ANA)D301993-02-26No204 Lbs6 ft0NoNoNo1UFAPro & Farm760,000$0$0$No
Lassi ThomsonVipers (ANA)D232000-09-24Yes190 Lbs6 ft0NoNoNo2RFAPro & Farm1,100,000$0$0$No
Malcolm SubbanVipers (ANA)G291993-12-21No215 Lbs6 ft2NoNoNo1UFAPro & Farm1,250,000$0$0$No
Michael McNivenVipers (ANA)G261997-07-09Yes199 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$No
Nail YakupovVipers (ANA)RW291993-10-12No195 Lbs5 ft11NoNoNo4UFAPro & Farm750,000$0$0$No
Nolan FooteVipers (ANA)C222000-11-29Yes196 Lbs6 ft3NoNoNo3RFAPro & Farm1,000,000$0$0$No
Nolan PatrickVipers (ANA)C251998-09-19No201 Lbs6 ft2NoNoNo1RFAPro & Farm1,000,000$0$0$No
Oscar DanskVipers (ANA)G291994-02-28No204 Lbs6 ft3NoNoNo4UFAPro & Farm750,000$0$0$No
Paul CotterVipers (ANA)RW231999-11-16Yes212 Lbs6 ft2NoNoNo4RFAPro & Farm1,000,000$0$0$No
Spencer FooVipers (ANA)LW281994-10-12No190 Lbs6 ft0NoNoNo4UFAPro & Farm750,000$0$0$No
Trevor MurphyVipers (ANA)D271995-10-12Yes180 Lbs5 ft10NoNoNo1RFAPro & Farm750,000$0$0$No
Tyler EnnisVipers (ANA)RW331989-10-06No160 Lbs5 ft9NoNoNo1UFAPro & Farm1,000,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.90196 Lbs6 ft02.52857,619$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Frederik Gauthier35122
2Spencer Foo30122
3Filip ZadinaNolan FooteDenis Malgin25122
4Nolan PatrickFilip Zadina10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot35122
2Cale Fleury30122
3Lassi ThomsonTrevor Murphy25122
4Derrick Pouliot10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Frederik Gauthier55122
2Spencer Foo45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot55122
2Cale Fleury45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
2Denis MalginFilip Zadina45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot55122
2Cale Fleury45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Derrick Pouliot55122
245122Cale Fleury45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
2Denis MalginFilip Zadina45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot55122
2Cale Fleury45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Frederik GauthierDerrick Pouliot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Frederik GauthierDerrick Pouliot
Extra Forwards
Normal PowerPlayPenalty Kill
, Nolan Foote, Nolan Patrick, Nolan FooteNolan Patrick
Extra Defensemen
Normal PowerPlayPenalty Kill
Lassi Thomson, Trevor Murphy, Cale FleuryLassi ThomsonTrevor Murphy, Cale Fleury
Penalty Shots
, , Denis Malgin, Filip Zadina,
Goalie
#1 : , #2 : Malcolm Subban


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
1Outlaws11000000211110000002110000000000021.00023500144014222346021114215120.00%20100.00%0236435.94%448850.00%297041.43%11882115366531
2Predateurs1010000012-1000000000001010000012-100.000112001440252223460287013500.00%000.00%0236435.94%448850.00%297041.43%11882115366531
Total51400000913-4211000004403030000059-420.2009152400144091222346013853307115213.33%15473.33%0236435.94%448850.00%297041.43%11882115366531
4Vandals1010000034-1000000000001010000034-100.0003690014402722234604218820100.00%4175.00%0236435.94%448850.00%297041.43%11882115366531
5Wolves2020000036-31010000023-11010000013-200.000358001440252223460471718174125.00%9366.67%0236435.94%448850.00%297041.43%11882115366531
_Since Last GM Reset51400000913-4211000004403030000059-420.2009152400144091222346013853307115213.33%15473.33%0236435.94%448850.00%297041.43%11882115366531
_Vs Conference51400000913-4211000004403030000059-420.2009152400144091222346013853307115213.33%15473.33%0236435.94%448850.00%297041.43%11882115366531
_Vs Division51400000913-4211000004403030000059-420.2009152400144091222346013853307115213.33%15473.33%0236435.94%448850.00%297041.43%11882115366531

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L2915249113853307100
All Games
GPWLOTWOTL SOWSOLGFGA
5140000913
Home Games
GPWLOTWOTL SOWSOLGFGA
211000044
Visitor Games
GPWLOTWOTL SOWSOLGFGA
303000059
Last 10 Games
WLOTWOTL SOWSOL
140000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15213.33%15473.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22234601440
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
236435.94%448850.00%297041.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11882115366531


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 - 2024-03-2411Vipers3Vandals4LBoxScore
2 - 2024-03-2526Wolves3Vipers2LBoxScore
3 - 2024-03-2638Outlaws1Vipers2WBoxScore
4 - 2024-03-2756Vipers1Predateurs2LBoxScore
5 - 2024-03-2863Vipers1Wolves3LBoxScore
7 - 2024-03-3082Predateurs-Vipers-
8 - 2024-03-31101Vipers-Bayou-
9 - 2024-04-01111Bayou-Vipers-
11 - 2024-04-03131Vandals-Vipers-
12 - 2024-04-04149Vipers-Twins-
13 - 2024-04-05163Vipers-Outlaws-
14 - 2024-04-06173Vipers-Barracudas-
15 - 2024-04-07186Barracudas-Vipers-
Trade Deadline --- Trades can’t be done after this day is simulated!
18 - 2024-04-10203Twins-Vipers-



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
5 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,801,000$ 1,801,000$ 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
4582303208426276277-1411817040021411301141121504424135147-1290276473749414010312312227954679591555227472257111782475321.46%1973980.20%6720148948.35%696143248.60%638131548.52%1837123119256341209587
468233280510333133011241151302911150153-3411815031221631481595313525838126511912112231758884285552233378449013452545722.44%1965173.98%11698152245.86%682155543.86%636134147.43%1807116418666591302642
Total Regular Season1646360013145958957811823330069132912838823030075462982953185589998158753105222244244596113416371770107460715061061252350111021.96%3939077.10%171418301147.09%1378298746.13%1274265647.97%364423953791129425121230
Playoff
4519109000007477-396300000353141046000003946-7207412720100172529360712521025715681212194288691724.64%681676.47%117139543.29%20842848.60%16531652.22%356201500157300150
Total Playoff19109000007477-396300000353141046000003946-7207412720100172529360712521025715681212194288691724.64%681676.47%117139543.29%20842848.60%16531652.22%356201500157300150