Association Québécoise de Hockey Simulé - Grizzlies 

Grizzlies

GP: 36 | W: 17 | L: 16 | OTL: 3 | P: 37
GF: 117 | GA: 115 | PP%: 22.02% | PK%: 72.12%
GM : Jonathan Mattson | Morale : 90 | Team Overall : 57
Next Games #570 vs Spartans
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
1Vasily PodkolzinX100.00994584786254404930485057508280090570
2Angus Crookshank (R)X99.00684590805251405130445860658471090560
3Cutter Gauthier (R)X100.00504595776477404730445060508072090560
4Martin HanzalX100.00504595726050404530405055509683090530
5Jackson Blake (R)X100.00504595804077404530405055508072090530
6Lias AnderssonX100.00504595786050404530405055508471090530
7Ryan Kuffner (R)X100.00504595776050404530405055508774090530
8Isak Rosen (R)X100.00504595795250404530405055508168090520
9Ryker Evans (R)X98.00854580825380435630585367678275090650
10Philip BrobergX100.00504595757450404930485065508270090590
11Mason GeertsenX100.00504595726050404530405055508875090560
12Joshua Jacobs (R)X100.00504595766050404530405055508774090560
Scratches
TEAM AVERAGE99.7559459277585740473044515853847409056
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
1Joseph Woll99.0077598589777777777773858578090680
2Yaniv Perets (R)100.0070506083707070707070708370090610
Scratches
TEAM AVERAGE99.507455738674747474747278847409065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Claude Julien65656565977246CAN6321,500,000$


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
1Angus CrookshankGrizzlies (EDM)LW36161228128018291174210313.68%1353414.85134924101132045.95%372919001.0514000424
2Josh DoanEdmonton OilersRW1014923700111299305614.14%421821.8322413270005231030.77%13246022.1111000400
3Ryker EvansGrizzlies (EDM)D361013235140414311662608.62%4790125.04731024109000267110.00%02047000.5112000284
4Jackson BlakeGrizzlies (EDM)RW3610414-1600202297174210.31%1249313.7000000000003043.24%372214000.5700000111
5Lias AnderssonGrizzlies (EDM)C3611112-209514365015312.00%641111.4200001000020040.59%6111211000.5800100001
6Ryan WintertonEdmonton OilersC32281086015304414394.55%1146514.55213623000001041.65%425912000.4300000002
7Vasily PodkolzinGrizzlies (EDM)RW113694401714399227.69%719317.560117160001110050.00%26146000.9301000001
8Ryan KuffnerGrizzlies (EDM)RW36369-170020155013326.00%2043512.1101104000001042.86%562213000.4100000011
9Joshua JacobsGrizzlies (EDM)D25134130092115756.67%1049919.97011145000137010.00%0319000.1600000112
10Martin HanzalGrizzlies (EDM)C36123-960720299153.45%2055115.3200000000000038.67%75426000.1100000001
11Isak RosenGrizzlies (EDM)RW36123-980121419655.26%1550313.9800005000070060.00%5324000.1200000010
12Benoit-Olivier GroulxEdmonton OilersC5213-34018719101310.53%212324.68000012000060050.00%11222000.4900000001
13Mason GeertsenGrizzlies (EDM)D4011-120142340.00%27117.870001600004000.00%122000.2800000000
14Philip BrobergGrizzlies (EDM)D4011000043120.00%58120.3200015000010000.00%004000.2500000000
15Cutter GauthierGrizzlies (EDM)LW5000-400468560.00%29318.75000411000040075.00%435000.0000000000
Team Total or Average3486479143-306152072777072434359.05%176557716.0312122466296101101799242.08%1402169210020.5138100121418
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
1Joseph WollGrizzlies (EDM)36171630.8933.02212700107997485010.57114360532
2Yaniv PeretsGrizzlies (EDM)40000.8895.46550054526000.0000036110
Team Total or Average40171630.8933.082183001121042511010.571143636642


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
Angus CrookshankGrizzlies (EDM)LW241999-10-02Yes181 Lbs5 ft10NoNoNo3RFAPro & Farm900,000$0$0$No
Cutter GauthierGrizzlies (EDM)LW202004-01-19Yes189 Lbs6 ft2NoNoNo5RFAPro & Farm1,200,000$0$0$No
Isak RosenGrizzlies (EDM)RW212003-03-15Yes173 Lbs6 ft0NoNoNo5RFAPro & Farm1,200,000$0$0$No
Jackson BlakeGrizzlies (EDM)RW212003-08-03Yes152 Lbs5 ft10NoNoNo3RFAPro & Farm900,000$0$0$No
Joseph WollGrizzlies (EDM)G261998-07-12No203 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$No
Joshua JacobsGrizzlies (EDM)D281996-02-15Yes200 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$0$0$No
Lias AnderssonGrizzlies (EDM)C251998-10-13No185 Lbs6 ft1NoNoNo5RFAPro & Farm800,000$0$0$No
Martin HanzalGrizzlies (EDM)C361987-10-12No230 Lbs6 ft6NoNoNo1UFAPro & Farm2,500,000$0$0$No
Mason GeertsenGrizzlies (EDM)D291995-04-19No227 Lbs6 ft4NoNoNo1UFAPro & Farm850,000$0$0$No
Philip BrobergGrizzlies (EDM)D232001-06-25No212 Lbs6 ft4NoNoNo1RFAPro & Farm1,000,000$0$0$No
Ryan KuffnerGrizzlies (EDM)RW271996-10-12Yes194 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$No
Ryker EvansGrizzlies (EDM)D222001-12-13Yes189 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$No
Vasily PodkolzinGrizzlies (EDM)RW232001-06-24No190 Lbs6 ft1NoNoNo1RFAPro & Farm1,200,000$0$0$No
Yaniv PeretsGrizzlies (EDM)G242000-03-04Yes185 Lbs6 ft1NoNoNo5RFAPro & Farm1,000,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1424.93194 Lbs6 ft12.571,064,286$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
2Angus Crookshank30122
3Jackson BlakeLias AnderssonRyan Kuffner25122
4Martin HanzalJackson Blake10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryker Evans35122
230122
3Martin HanzalIsak Rosen25122
4Ryker Evans10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
2Angus Crookshank45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryker Evans55122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryker Evans55122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Ryker Evans55122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryker Evans55122
245122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryker Evans
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryker Evans
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Kuffner, Lias Andersson, Isak RosenRyan Kuffner, Lias AnderssonIsak Rosen
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , , Angus Crookshank
Goalie
#1 : Joseph Woll, #2 : Yaniv Perets


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
1Bandits210000017611000000134-11100000042230.750713200032443775626734842123672712226116.67%6266.67%030167644.53%32272544.41%25756445.57%843575808283533258
2Barracudas22000000532110000002111100000032141.00051015003244377322673484212329118307228.57%4175.00%030167644.53%32272544.41%25756445.57%843575808283533258
3Bayou21000100862110000004131000010045-130.75081321003244377572673484212350131428100.00%7271.43%030167644.53%32272544.41%25756445.57%843575808283533258
4Goons11000000312110000003120000000000021.00034700324437738267348421233194165120.00%20100.00%130167644.53%32272544.41%25756445.57%843575808283533258
5Hunters2020000035-22020000035-20000000000000.000369003244377642673484212336101224700.00%6350.00%030167644.53%32272544.41%25756445.57%843575808283533258
6Husky20200000510-520200000510-50000000000000.000581310324437771267348421237622640500.00%3166.67%030167644.53%32272544.41%25756445.57%843575808283533258
7Igloos1010000035-2000000000001010000035-200.00035800324437723267348421232484822100.00%2150.00%030167644.53%32272544.41%25756445.57%843575808283533258
8Marlies1010000046-21010000046-20000000000000.0004812003244377342673484212331122163266.67%110.00%030167644.53%32272544.41%25756445.57%843575808283533258
9Marmots11000000927000000000001100000092721.0009162500324437748267348421233894104125.00%2150.00%030167644.53%32272544.41%25756445.57%843575808283533258
10Predateurs10001000431100010004310000000000021.000471100324437725267348421231951384250.00%4250.00%030167644.53%32272544.41%25756445.57%843575808283533258
11Raptors1010000023-1000000000001010000023-100.00024600324437722267348421234110208100.00%10190.00%030167644.53%32272544.41%25756445.57%843575808283533258
12Saguenéens21000010844100000103211100000052341.000814220032443776726734842123612010209111.11%50100.00%130167644.53%32272544.41%25756445.57%843575808283533258
13Snowbirds11000000321110000003210000000000021.000369003244377332673484212333888200.00%4175.00%030167644.53%32272544.41%25756445.57%843575808283533258
14Spartans1010000015-41010000015-40000000000000.00012300324437721267348421233811811200.00%4175.00%030167644.53%32272544.41%25756445.57%843575808283533258
15Supreme30201000814-620101000510-51010000034-120.333815230032443778026734842123112421841900.00%9455.56%030167644.53%32272544.41%25756445.57%843575808283533258
16Thugs1000000123-1000000000001000000123-110.50024600324437727267348421233762122150.00%10100.00%030167644.53%32272544.41%25756445.57%843575808283533258
17TigersCats3110001014104100000106512110000085340.667142135003244377105267348421239537205510330.00%10280.00%130167644.53%32272544.41%25756445.57%843575808283533258
Total3613160212211711521977020216463117690010153521370.51411720732410324437710472673484212310433332334591092422.02%1042972.12%430167644.53%32272544.41%25756445.57%843575808283533258
19Twins2110000057-2110000004221010000015-420.5005712003244377692673484212352228315120.00%4250.00%030167644.53%32272544.41%25756445.57%843575808283533258
20Vandals220000001257110000008351100000042241.000122335003244377852673484212351228267342.86%4175.00%030167644.53%32272544.41%25756445.57%843575808283533258
21Vipers2020000026-4000000000002020000026-400.000246003244377322673484212339617169222.22%60100.00%030167644.53%32272544.41%25756445.57%843575808283533258
22Wolves1010000013-2000000000001010000013-200.00012300324437712267348421232566174125.00%3166.67%030167644.53%32272544.41%25756445.57%843575808283533258
23Xpress21100000862110000006331010000023-120.500815230032443774626734842123581729125120.00%7271.43%130167644.53%32272544.41%25756445.57%843575808283533258
_Since Last GM Reset3613160212211711521977020216463117690010153521370.51411720732410324437710472673484212310433332334591092422.02%1042972.12%430167644.53%32272544.41%25756445.57%843575808283533258
_Vs Conference15580001156515925000113034-46330000026179130.43356961521032443774852673484212345615193203471123.40%391366.67%330167644.53%32272544.41%25756445.57%843575808283533258
_Vs Division5220001027189201000101011-1321000001771060.6002745720032443771872673484212316458268117635.29%13469.23%130167644.53%32272544.41%25756445.57%843575808283533258

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3637W21172073241047104333323345910
All Games
GPWLOTWOTL SOWSOLGFGA
3613162122117115
Home Games
GPWLOTWOTL SOWSOLGFGA
197720216463
Visitor Games
GPWLOTWOTL SOWSOLGFGA
176901015352
Last 10 Games
WLOTWOTL SOWSOL
351001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1092422.02%1042972.12%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
267348421233244377
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
30167644.53%32272544.41%25756445.57%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
843575808283533258


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 - 2024-10-092Grizzlies3TigersCats4LBoxScore
2 - 2024-10-1018Hunters2Grizzlies1LBoxScore
4 - 2024-10-1245Grizzlies4Bayou5LXBoxScore
5 - 2024-10-1349Husky5Grizzlies2LBoxScore
6 - 2024-10-1468Husky5Grizzlies3LBoxScore
9 - 2024-10-1793Grizzlies9Marmots2WBoxScore
10 - 2024-10-18107Grizzlies3Igloos5LBoxScore
11 - 2024-10-19111Vandals3Grizzlies8WBoxScore
14 - 2024-10-22133Grizzlies5TigersCats1WBoxScore
15 - 2024-10-23142TigersCats5Grizzlies6WXXBoxScore
17 - 2024-10-25159Supreme1Grizzlies2WXBoxScore
18 - 2024-10-26177Grizzlies4Vandals2WBoxScore
19 - 2024-10-27190Grizzlies3Barracudas2WBoxScore
20 - 2024-10-28204Bandits4Grizzlies3LXXBoxScore
21 - 2024-10-29218Grizzlies1Vipers3LBoxScore
23 - 2024-10-31235Hunters3Grizzlies2LBoxScore
26 - 2024-11-03259Saguenéens2Grizzlies3WXXBoxScore
27 - 2024-11-04277Grizzlies3Supreme4LBoxScore
29 - 2024-11-06287Barracudas1Grizzlies2WBoxScore
30 - 2024-11-07309Grizzlies1Wolves3LBoxScore
31 - 2024-11-08320Grizzlies4Bandits2WBoxScore
33 - 2024-11-10332Goons1Grizzlies3WBoxScore
35 - 2024-11-12351Snowbirds2Grizzlies3WBoxScore
36 - 2024-11-13366Grizzlies5Saguenéens2WBoxScore
38 - 2024-11-15385Marlies6Grizzlies4LBoxScore
40 - 2024-11-17407Grizzlies1Twins5LBoxScore
41 - 2024-11-18417Bayou1Grizzlies4WBoxScore
43 - 2024-11-20437Predateurs3Grizzlies4WXBoxScore
44 - 2024-11-21450Grizzlies2Thugs3LXXBoxScore
46 - 2024-11-23465Grizzlies2Raptors3LBoxScore
47 - 2024-11-24477Grizzlies1Vipers3LBoxScore
48 - 2024-11-25488Spartans5Grizzlies1LBoxScore
50 - 2024-11-27510Supreme9Grizzlies3LBoxScore
51 - 2024-11-28524Grizzlies2Xpress3LBoxScore
53 - 2024-11-30539Xpress3Grizzlies6WBoxScore
55 - 2024-12-02561Twins2Grizzlies4WBoxScore
56 - 2024-12-03570Grizzlies-Spartans-
58 - 2024-12-05590Grizzlies-Hunters-
59 - 2024-12-06599Grizzlies-Chiwawa-
61 - 2024-12-08611Smirnoff Ice-Grizzlies-
62 - 2024-12-09632Scorpions-Grizzlies-
63 - 2024-12-10651CoolFm-Grizzlies-
64 - 2024-12-11662Grizzlies-CoolFm-
66 - 2024-12-13678Grizzlies-Vandals-
67 - 2024-12-14692Grizzlies-Barracudas-
69 - 2024-12-16706Raptors-Grizzlies-
70 - 2024-12-17722Grizzlies-Farmers-
72 - 2024-12-19736Rockets-Grizzlies-
73 - 2024-12-20757Hunters-Grizzlies-
74 - 2024-12-21772Grizzlies-Igloos-
76 - 2024-12-23789Warriors-Grizzlies-
79 - 2024-12-26809Vandals-Grizzlies-
80 - 2024-12-27824Grizzlies-Bayou-
82 - 2024-12-29838Grizzlies-Husky-
83 - 2024-12-30850Grizzlies-Hunters-
84 - 2024-12-31859Smirnoff Ice-Grizzlies-
85 - 2025-01-01882Thugs-Grizzlies-
87 - 2025-01-03896Grizzlies-Snowbirds-
89 - 2025-01-05907Grizzlies-Marlies-
90 - 2025-01-06924Marmots-Grizzlies-
91 - 2025-01-07935Grizzlies-Smirnoff Ice-
92 - 2025-01-08953Outlaws-Grizzlies-
94 - 2025-01-10974TigersCats-Grizzlies-
96 - 2025-01-12996Farmers-Grizzlies-
97 - 2025-01-131003Grizzlies-Marmots-
99 - 2025-01-151024Grizzlies-Husky-
Trade Deadline --- Trades can’t be done after this day is simulated!
100 - 2025-01-161037Grizzlies-Scorpions-
101 - 2025-01-171048Wolves-Grizzlies-
103 - 2025-01-191069Vipers-Grizzlies-
104 - 2025-01-201082Grizzlies-Outlaws-
106 - 2025-01-221099Vipers-Grizzlies-
107 - 2025-01-231103Grizzlies-Warriors-
110 - 2025-01-261131Chiwawa-Grizzlies-
112 - 2025-01-281151Husky-Grizzlies-
113 - 2025-01-291164Grizzlies-Goons-
114 - 2025-01-301173Grizzlies-Rockets-
116 - 2025-02-011193Igloos-Grizzlies-
118 - 2025-02-031205Grizzlies-TigersCats-
119 - 2025-02-041218Grizzlies-Predateurs-
121 - 2025-02-061227Grizzlies-Goons-
122 - 2025-02-071237Husky-Grizzlies-
126 - 2025-02-111270Chiwawa-Grizzlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price6525
Attendance21,22212,579
Attendance PCT55.85%66.21%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
22 1779 - 59.30% 106,983$2,032,686$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,363,148$ 1,490,000$ 1,490,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 707,087$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,353,636$ 72 23,543$ 1,695,096$




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
4836131602122117115219770202164631176900101535213711720732410324437710472673484212310433332334591092422.02%1042972.12%430167644.53%32272544.41%25756445.57%843575808283533258
Total Regular Season36131602122117115219770202164631176900101535213711720732410324437710472673484212310433332334591092422.02%1042972.12%430167644.53%32272544.41%25756445.57%843575808283533258