Association Québécoise de Hockey Simulé - TigersCats 

TigersCats

GP: 73 | W: 35 | L: 34 | OTL: 4 | P: 74
GF: 267 | GA: 300 | PP%: 28.90% | PK%: 67.07%
GM : Jean-Denis Larouche | Morale : 90 | Team Overall : 61
Next Games #1142 vs Farmers
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
1Ross ColtonX95.00995178846362986186566659888675090670
2Anthony DuclairX96.00684592846274406330695860698779090640
3Michael PezzettaX100.00997262777350765530505966828572090620
4Josh LeivoX100.00704882826659625830595669678978090620
5Colin WhiteX96.00664590806550825473486057668673090620
6Rem PitlickX99.00574582835765565830566158798676090620
7Laurent DauphinX100.00644582785952404784405467508875090590
8Kevin RooneyX100.00754885776550404772445062508976090580
9Curtis McKenzieX100.00504595757350404530405055509279090540
10Adam GaudetteX100.00504595795650404530405055508774090530
11Matt DumbaX98.00765467815189955330505671668883090680
12Nick Perbix (R)X96.00704586836064835830585973688473090670
13Sheldon DriesX100.00765482825058765680486461678877090630
14Jordan GrossX100.00574592805278405430406859668780090610
15Mikhail Maltsev (R)X100.00504595767150404530405055508572090570
Scratches
TEAM AVERAGE98.6768498480626061534649576265877609061
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
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeremy Colliton65656565738494CAN3926,150,000$


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
1Anthony DuclairTigersCats (HAM)LW53334376-9251565662819419011.74%30119622.578172547126101131283256.04%918042031.2711111915
2Josh LeivoTigersCats (HAM)RW73303666-13431581992148214814.02%37121216.608614371041012313154.55%665733001.0912012335
3Ross ColtonTigersCats (HAM)C462934633455931011897013015.34%26104222.6671421299601161012265.89%10764537001.2101001663
4Rem PitlickTigersCats (HAM)C62322456-1321587941838010617.49%28116318.777613269902251013142.56%8674238000.9612100554
5Colin WhiteTigersCats (HAM)RW61232649-4201072691604910414.37%21120819.8281018261291124931160.49%813832100.8112101056
6Michael PezzettaTigersCats (HAM)LW61153146-4771511072132367511.36%26105117.242810231010110151140.58%693228000.8701012015
7Laurent DauphinTigersCats (HAM)C6927194663808190178469715.17%25108615.742134370000278065.24%8173734000.8500000641
8Kevin RooneyTigersCats (HAM)C73182139224109777169459310.65%24114515.701234200000172162.26%3712737000.6800020332
9Matt DumbaTigersCats (HAM)D68102434-12140201058613947517.19%101171025.16571225179000112621100.00%13297100.4000102210
10Curtis McKenzieTigersCats (HAM)LW71112132-3115487488309112.50%26113015.922577611014322151.79%561333000.5700010203
11Sheldon DriesTigersCats (HAM)D6952429030062719240315.43%62140420.3514514128000615910100.00%13465000.4100000100
12Nick PerbixTigersCats (HAM)D5442327-15281063769653494.17%83139025.75358141320002151100.00%13291000.3900002004
13Jordan GrossTigersCats (HAM)D685192408033658443445.95%65135519.93235910900011351025.00%44358000.3500000033
14Adam GaudetteTigersCats (HAM)C73591402029607524346.67%36114115.641013170001501035.96%891644000.2500000021
15Mikhail MaltsevTigersCats (HAM)D73099211514382313170.00%42115415.82000022000056000.00%2535000.1600001010
16Tanner JeannotHamilton TigersRW11437-8471526124614218.70%624121.9331411260000200144.68%4786000.5811201011
Team Total or Average985251366617-68570130106611502149766128111.68%6381863518.9260891492791394459451250311257.46%3639541710230.665106613373643
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
1Adam WernerHamilton Tigers36151810.8654.171986201381021514110.6673360110
Team Total or Average36151810.8654.171986201381021514110.6673360110


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
Adam GaudetteTigersCats (HAM)C261996-10-03No175 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$No
Anthony DuclairTigersCats (HAM)LW281995-08-26No197 Lbs5 ft11NoNoNo4UFAPro & Farm2,250,000$0$0$No
Colin WhiteTigersCats (HAM)RW261997-01-30No194 Lbs6 ft1NoNoNo1RFAPro & Farm4,500,000$0$0$No
Curtis McKenzieTigersCats (HAM)LW311991-10-12No205 Lbs6 ft2NoNoNo1UFAPro & Farm800,000$0$0$No
Jordan GrossTigersCats (HAM)D281995-05-09No190 Lbs5 ft10NoNoNo4UFAPro & Farm1,000,000$0$0$No
Josh LeivoTigersCats (HAM)RW301993-05-26No192 Lbs6 ft2NoNoNo4UFAPro & Farm1,000,000$0$0$No
Kevin RooneyTigersCats (HAM)C301993-05-21No190 Lbs6 ft2NoNoNo2UFAPro & Farm1,200,000$0$0$No
Laurent DauphinTigersCats (HAM)C281995-03-27No186 Lbs6 ft0NoNoNo4UFAPro & Farm750,000$0$0$No
Matt DumbaTigersCats (HAM)D291994-07-25No181 Lbs6 ft0NoNoNo4UFAPro & Farm4,000,000$0$0$No
Michael PezzettaTigersCats (HAM)LW251998-03-13No210 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$No
Mikhail MaltsevTigersCats (HAM)D251998-03-12Yes198 Lbs6 ft3NoNoNo2RFAPro & Farm1,000,000$0$0$No
Nick PerbixTigersCats (HAM)D251998-06-15Yes191 Lbs6 ft2NoNoNo4RFAPro & Farm950,000$0$0$No
Rem PitlickTigersCats (HAM)C261997-04-02No186 Lbs5 ft11NoNoNo3RFAPro & Farm900,000$0$0$No
Ross ColtonTigersCats (HAM)C271996-09-11No194 Lbs6 ft0NoNoNo4RFAPro & Farm2,400,000$0$0$No
Sheldon DriesTigersCats (HAM)D291994-04-23No180 Lbs5 ft9NoNoNo4UFAPro & Farm1,000,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1527.53191 Lbs6 ft03.001,583,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony DuclairRoss ColtonColin White35122
2Michael PezzettaRem PitlickJosh Leivo30122
3Curtis McKenzieLaurent DauphinKevin Rooney25122
4Ross ColtonKevin RooneyAnthony Duclair10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaNick Perbix35122
2Sheldon DriesJordan Gross30122
3Mikhail MaltsevAdam Gaudette25122
4Matt DumbaNick Perbix10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony DuclairRoss ColtonColin White55122
2Michael PezzettaRem PitlickJosh Leivo45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaNick Perbix55122
2Sheldon DriesJordan Gross45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ross ColtonAnthony Duclair55122
2Rem PitlickColin White45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaNick Perbix55122
2Sheldon DriesJordan Gross45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ross Colton55122Matt DumbaNick Perbix55122
2Anthony Duclair45122Sheldon DriesJordan Gross45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ross ColtonAnthony Duclair55122
2Rem PitlickColin White45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaNick Perbix55122
2Sheldon DriesJordan Gross45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony DuclairRoss ColtonColin WhiteMatt DumbaNick Perbix
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony DuclairRoss ColtonColin WhiteMatt DumbaNick Perbix
Extra Forwards
Normal PowerPlayPenalty Kill
Laurent Dauphin, Curtis McKenzie, Adam GaudetteLaurent Dauphin, Curtis McKenzieAdam Gaudette
Extra Defensemen
Normal PowerPlayPenalty Kill
Mikhail Maltsev, Sheldon Dries, Jordan GrossMikhail MaltsevSheldon Dries, Jordan Gross
Penalty Shots
Ross Colton, Anthony Duclair, Rem Pitlick, Colin White, Josh Leivo
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
1Bandits20200000513-81010000025-31010000038-500.00057120045103110127957086385430611928338225.00%9366.67%0861151656.79%812140757.71%678118757.12%141677116986341292658
2Barracudas21100000440110000002111010000023-120.50048120045103110124457086385430351423179333.33%9188.89%0861151656.79%812140757.71%678118757.12%141677116986341292658
3Bayou2110000010100110000004311010000067-120.500101727004510311012775708638543067242027300.00%10370.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
4Chiwawa211000001013-3110000007611010000037-420.5001015250045103110127957086385430802724396233.33%7442.86%0861151656.79%812140757.71%678118757.12%141677116986341292658
5CoolFm31101000131122100100012841010000013-240.66713233600451031101210457086385430732625677228.57%10370.00%1861151656.79%812140757.71%678118757.12%141677116986341292658
6Farmers2100000110910000000000021000001109130.7501018280045103110127757086385430652313419222.22%4175.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
7Goons3120000048-4110000002112020000027-520.33348120045103110128257086385430791926529111.11%8187.50%0861151656.79%812140757.71%678118757.12%141677116986341292658
8Grizzlies412010001216-42010100049-52110000087140.500121729004510311012123570863854301344343511218.33%14378.57%0861151656.79%812140757.71%678118757.12%141677116986341292658
9Hunters2010100079-21010000025-31000100054120.5007111800451031101261570863854304116113013323.08%30100.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
10Husky2020000028-61010000013-21010000015-400.0002350045103110125957086385430611220387114.29%10370.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
11Igloos220000001275110000006331100000064241.000122133004510311012675708638543037188239444.44%40100.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
12Marlies43100000211832200000012932110000099060.750213556004510311012124570863854301386228672150.00%14564.29%1861151656.79%812140757.71%678118757.12%141677116986341292658
13Marmots41201000171702020000059-421001000128440.5001728451045103110121485708638543011027318814428.57%13653.85%0861151656.79%812140757.71%678118757.12%141677116986341292658
14Outlaws2110000067-11010000013-21100000054120.500610161045103110125757086385430742328329444.44%9366.67%0861151656.79%812140757.71%678118757.12%141677116986341292658
15Predateurs20200000520-1510100000310-710100000210-800.00056110045103110124757086385430903390316350.00%15660.00%1861151656.79%812140757.71%678118757.12%141677116986341292658
16Raptors21001000633110000005321000100010141.0006915014510311012465708638543038106275360.00%3166.67%0861151656.79%812140757.71%678118757.12%141677116986341292658
17Rockets4210100013121210010008532110000057-260.7501318310045103110121105708638543010026237512325.00%11463.64%1861151656.79%812140757.71%678118757.12%141677116986341292658
18Saguenéens211000001091110000006331010000046-220.5001017270045103110127557086385430772423398337.50%9544.44%0861151656.79%812140757.71%678118757.12%141677116986341292658
19Scorpions21100000710-31010000037-41100000043120.50071219004510311012695708638543068368356233.33%4250.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
20Smirnoff Ice321000001394211000007611100000063340.66713183100451031101293570863854301032918499444.44%9277.78%0861151656.79%812140757.71%678118757.12%141677116986341292658
21Snowbirds2010010057-21010000034-11000010023-110.2505914004510311012645708638543056221641400.00%8362.50%0861151656.79%812140757.71%678118757.12%141677116986341292658
22Spartans2020000049-51010000026-41010000023-100.0004590045103110125757086385430591728234125.00%9277.78%0861151656.79%812140757.71%678118757.12%141677116986341292658
23Supreme21000010954110000005231000001043141.000914230045103110125457086385430592621453266.67%8362.50%0861151656.79%812140757.71%678118757.12%141677116986341292658
24Thugs211000006421010000013-21100000051420.500610160045103110124857086385430622510399222.22%5260.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
Total73263407321267300-3336141604110133144-1137121803211134156-22740.507267430697314510311012230657086385430219372267912522186328.90%2498267.07%5861151656.79%812140757.71%678118757.12%141677116986341292658
26Twins21001000853100010004311100000042241.000813210045103110126057086385430441410346116.67%5260.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
27Vandals2010001089-1100000104311010000046-220.50081220004510311012575708638543056516426350.00%8450.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
28Vipers2000020079-21000010034-11000010045-120.500710170045103110125857086385430681829234125.00%7271.43%1861151656.79%812140757.71%678118757.12%141677116986341292658
29Warriors4220000024186211000001385211000001110140.5002441650045103110121665708638543013937327910440.00%16475.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
30Wolves20200000510-51010000047-31010000013-200.000581310451031101252570863854304317823400.00%4250.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
31Xpress20200000411-71010000025-31010000026-400.00047110045103110126957086385430763013425120.00%4250.00%0861151656.79%812140757.71%678118757.12%141677116986341292658
_Since Last GM Reset73263407321267300-3336141604110133144-1137121803211134156-22740.507267430697314510311012230657086385430219372267912522186328.90%2498267.07%5861151656.79%812140757.71%678118757.12%141677116986341292658
_Vs Conference41161905001157166-92089030007676021810020018190-9430.52415725541210451031101213625708638543012173873197351263326.19%1293771.32%3861151656.79%812140757.71%678118757.12%141677116986341292658
_Vs Division251290300111099111255020004946313740100161538310.62011017528510451031101284157086385430789247188450681927.94%812569.14%2861151656.79%812140757.71%678118757.12%141677116986341292658

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7374W126743069723062193722679125231
All Games
GPWLOTWOTL SOWSOLGFGA
7326347321267300
Home Games
GPWLOTWOTL SOWSOLGFGA
3614164110133144
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3712183211134156
Last 10 Games
WLOTWOTL SOWSOL
712000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2186328.90%2498267.07%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
570863854304510311012
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
861151656.79%812140757.71%678118757.12%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
141677116986341292658


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 - 2024-04-065Rockets2TigersCats4WBoxScore
3 - 2024-04-0828TigersCats4Warriors6LBoxScore
4 - 2024-04-0938TigersCats1Goons3LBoxScore
6 - 2024-04-1152Smirnoff Ice3TigersCats5WBoxScore
7 - 2024-04-1269Marlies3TigersCats4WBoxScore
9 - 2024-04-1482TigersCats2Rockets5LBoxScore
10 - 2024-04-15101TigersCats3Marlies5LBoxScore
11 - 2024-04-16112TigersCats4Grizzlies5LBoxScore
12 - 2024-04-17119Warriors6TigersCats4LBoxScore
13 - 2024-04-18138TigersCats7Farmers8LXXBoxScore
15 - 2024-04-20154Grizzlies1TigersCats2WXBoxScore
17 - 2024-04-22174Marmots3TigersCats1LBoxScore
18 - 2024-04-23192TigersCats7Marmots4WBoxScore
20 - 2024-04-25206CoolFm4TigersCats5WXBoxScore
21 - 2024-04-26224TigersCats1Husky5LBoxScore
22 - 2024-04-27235Marmots6TigersCats4LBoxScore
24 - 2024-04-29252TigersCats1Wolves3LBoxScore
25 - 2024-04-30266Vandals3TigersCats4WXXBoxScore
26 - 2024-05-01278TigersCats6Marlies4WBoxScore
28 - 2024-05-03295TigersCats3Chiwawa7LBoxScore
29 - 2024-05-04308Scorpions7TigersCats3LBoxScore
31 - 2024-05-06325Hunters5TigersCats2LBoxScore
32 - 2024-05-07340TigersCats4Grizzlies2WBoxScore
34 - 2024-05-09362Igloos3TigersCats6WBoxScore
35 - 2024-05-10376Vipers4TigersCats3LXBoxScore
37 - 2024-05-12393TigersCats3Farmers1WBoxScore
38 - 2024-05-13409TigersCats3Rockets2WBoxScore
40 - 2024-05-15421Wolves7TigersCats4LBoxScore
42 - 2024-05-17440TigersCats3Bandits8LBoxScore
43 - 2024-05-18451TigersCats1Goons4LBoxScore
44 - 2024-05-19461Saguenéens3TigersCats6WBoxScore
45 - 2024-05-20484Goons1TigersCats2WBoxScore
47 - 2024-05-22498TigersCats6Igloos4WBoxScore
48 - 2024-05-23511TigersCats4Saguenéens6LBoxScore
49 - 2024-05-24521Predateurs10TigersCats3LBoxScore
50 - 2024-05-25537TigersCats4Scorpions3WBoxScore
52 - 2024-05-27557Spartans6TigersCats2LBoxScore
53 - 2024-05-28576TigersCats4Vipers5LXBoxScore
55 - 2024-05-30584Xpress5TigersCats2LBoxScore
57 - 2024-06-01606Grizzlies8TigersCats2LBoxScore
58 - 2024-06-02620TigersCats4Twins2WBoxScore
60 - 2024-06-04636Outlaws3TigersCats1LBoxScore
62 - 2024-06-06657TigersCats5Marmots4WXBoxScore
63 - 2024-06-07672Twins3TigersCats4WXBoxScore
64 - 2024-06-08687TigersCats5Outlaws4WBoxScore
66 - 2024-06-10699Snowbirds4TigersCats3LBoxScore
67 - 2024-06-11713TigersCats2Snowbirds3LXBoxScore
69 - 2024-06-13732Barracudas1TigersCats2WBoxScore
70 - 2024-06-14751Raptors3TigersCats5WBoxScore
71 - 2024-06-15767TigersCats1Raptors0WXBoxScore
72 - 2024-06-16777TigersCats1CoolFm3LBoxScore
74 - 2024-06-18796Supreme2TigersCats5WBoxScore
75 - 2024-06-19813TigersCats4Supreme3WXXBoxScore
76 - 2024-06-20826Chiwawa6TigersCats7WBoxScore
77 - 2024-06-21842TigersCats4Vandals6LBoxScore
78 - 2024-06-22848TigersCats2Spartans3LBoxScore
79 - 2024-06-23865Husky3TigersCats1LBoxScore
82 - 2024-06-26885Bandits5TigersCats2LBoxScore
83 - 2024-06-27905TigersCats2Barracudas3LBoxScore
84 - 2024-06-28909TigersCats2Predateurs10LBoxScore
86 - 2024-06-30925TigersCats6Bayou7LBoxScore
87 - 2024-07-01934Thugs3TigersCats1LBoxScore
89 - 2024-07-03955Smirnoff Ice3TigersCats2LBoxScore
90 - 2024-07-04978Marlies6TigersCats8WBoxScore
91 - 2024-07-05984TigersCats5Thugs1WBoxScore
93 - 2024-07-071006TigersCats7Warriors4WBoxScore
94 - 2024-07-081019Warriors2TigersCats9WBoxScore
96 - 2024-07-101038TigersCats2Xpress6LBoxScore
97 - 2024-07-111049CoolFm4TigersCats7WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
99 - 2024-07-131065TigersCats5Hunters4WXBoxScore
101 - 2024-07-151083Bayou3TigersCats4WBoxScore
104 - 2024-07-181105Rockets3TigersCats4WXBoxScore
105 - 2024-07-191114TigersCats6Smirnoff Ice3WBoxScore
108 - 2024-07-221142Farmers-TigersCats-
110 - 2024-07-241154Farmers-TigersCats-
111 - 2024-07-251163TigersCats-Smirnoff Ice-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3520
Attendance71,44829,067
Attendance PCT99.23%80.74%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
2 2792 - 93.07% 102,734$3,698,424$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
7,980,852$ 2,375,000$ 2,375,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,255,271$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
205,468$ 8 75,442$ 603,536$




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
4582362904337288260284120160201215313815411613023251351221396288481769415210412512231353783891664220869482211372425422.31%3058173.44%6779154350.49%825154953.26%666130351.11%1886123218416541258627
46824125044353082604841221103113156119374119140132215214111105308539847044411314492569571908106664204069464713342658230.94%2246172.77%10956162358.90%768138055.65%724127356.87%2078142216646221231626
4773263407321267300-3336141604110133144-1137121803211134156-2274267430697314510311012230657086385430219372267912522186328.90%2498267.07%5861151656.79%812140757.71%678118757.12%141677116986341292658
Total Regular Season2371038801510813863820431185643092354424014111947450685842141922758631450231376141320379337188167826092836158644121102148372372519927.45%77822471.21%212596468255.45%2405433655.47%2068376354.96%538134265204191137831912
Playoff
4517116000006959108530000033294963000003630622691251940022262106101512442150436149172258551221.82%491275.51%116937045.68%15130649.35%14429249.32%502371273122244122
Total Playoff17116000006959108530000033294963000003630622691251940022262106101512442150436149172258551221.82%491275.51%116937045.68%15130649.35%14429249.32%502371273122244122