Rocket

GP: 18 | W: 9 | L: 7 | OTL: 2 | P: 20
GF: 42 | GA: 42 | PP%: 16.00% | PK%: 90.38%
GM : Simon Charland | Morale : 50 | Team Overall : 60
Next Games #272 vs Penguins

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
1Filip Mesar0X100.005636876365746761656254536461638050590
2Zayde Wisdom60X99.006239815971738258555756545863656250590
3Noah Laba0X99.007040835779756158625559565862646150590
4Sandis Vilmanis0XX100.006737945876757157615956556163614950590
5Alexandre Doucet0XXX100.006439825773677256535554585663654550580
6Camden Thiesing0X100.006340745872776957615556535764664350580
7Samuel Savoie0XX100.005737885868797357585655545761636550580
8Shawn Element0X100.006441705873728457555456535865674250580
9Alex Campbell0X100.006236955671746455525657545363666550570
10Lucas Edmonds0XX100.006037925669677555595457535664666250570
11Robert Mastrosimone0XX100.005538795664777854605557525864666850570
12Fabian Wagner0X100.005536915664736854615357525661634950560
13Miko Matikka0XX100.007238955481656453555250565162646750560
14Christian Wolanin86X100.006940806378777862306854634870724850650
15Noel Hoefenmayer0X100.006440716073777657306155564866685850610
16Jack Rathbone3X100.005738825966848556305855544766686050600
17Rodwin Dionicio0X100.007146595980686356305558604861635850600
18Christian Kyrou0X100.005736925866687757305955564762647250590
19Dawson Barteaux0X100.006538935774657656305852544665674750590
20Isaac Belliveau0X100.006841795577666354305652574663654950580
21Christopher Merisier-Ortiz0X100.005836945667636455305950534564664350570
Scratches
1Chase Bradley0X87.495838785968737156545859575663654950580
2Aatu Jamsen0XX100.005837875668656655525358545762644950560
TEAM AVERAGE99.35623884587172725648575555546365565058
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
1Jiri Patera97.00747874867372747372747366755650730
2Domenic DiVincentiis100.00747673797372747372747361654950710
Scratches
1Ty Young100.00737470807271737271737261655650700
2Zach Sawchenko100.00727772747170727170727168813650700
3Damian Clara100.00637067956261636261636260636950650
TEAM AVERAGE99.4071757183706971706971706370535070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo69737265787272CAN5288,000,000$


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Christian WolaninRocket (MTL)D1541014-231517142891114.29%1633022.0347112472000058000.00%000000.8500010000
2Sandis VilmanisRocket (MTL)LW/RW18751228031122572428.00%233118.423369850000372043.14%5100000.7213000211
3Noel HoefenmayerRocket (MTL)D182810-3175351615121813.33%1239121.73055988011184200.00%000000.5100100100
4Noah LabaRocket (MTL)C185510-518038362833317.86%238721.553256651012671149.87%38900000.5214000102
5Filip MesarRocket (MTL)RW18369-3801316408277.50%032718.1712315810001290043.75%1600000.5511000110
6Samuel SavoieRocket (MTL)C/LW18448-44011182462216.67%325514.18112743000000138.89%1800000.6300000010
7Aleksanteri KaskimakiMontreal CanadiensC9167520823167216.25%019521.700332430001380042.38%21000000.7202000001
8Alexandre DoucetRocket (MTL)C/LW/RW18336-216019182951910.34%026214.56123643000000040.00%1500000.4600000001
9Zayde WisdomRocket (MTL)C18235-4801431285197.14%029916.610112350002671043.10%23900000.3304000100
10Tristan LuneauMontreal CanadiensD932558011151261025.00%520522.812021048000039100.00%000000.4900000001
11Viktor NeuchevMontreal CanadiensLW/RW73254401551251125.00%016824.121124390001380055.56%4500100.5911000120
12Chase BradleyRocket (MTL)LW10033-3608814360.00%112112.1200001000020028.57%700000.5000000000
13Jack RathboneRocket (MTL)D18033080914238180.00%1135719.870002077000081000.00%000000.1700000000
14Rodwin DionicioRocket (MTL)D1803323003511113170.00%1529216.25000846011058000.00%000000.2100000000
15Camden ThiesingRocket (MTL)C18112-3120121922454.55%019110.63000020000310045.96%16100000.2100000001
16Dawson BarteauxRocket (MTL)D18022-310011105150.00%720611.500001200008000.00%000000.1900000000
17Lucas EdmondsRocket (MTL)LW/RW18202-52059961122.22%119210.69000237000000061.54%1300000.2100000010
18Isaac BelliveauRocket (MTL)D18022-5601084040.00%61277.0800000000011000.00%000000.3100000000
19Noah OstlundMontreal CanadiensC/LW3022260689360.00%07324.370114150000210052.44%8200000.5500000000
20Robert MastrosimoneRocket (MTL)C/LW11011020244110.00%1655.9300000000040020.00%500000.3100000000
21Vincent DesharnaisMontreal CanadiensD2011240310120.00%14924.5700001000007000.00%000000.4100000000
22Shawn ElementRocket (MTL)C18011-1206137370.00%0713.9900014000000049.30%7100000.2800000000
23Alex CampbellRocket (MTL)LW9000100221210.00%0252.8400002000070033.33%600000.0000000000
24Christopher Merisier-OrtizRocket (MTL)D18000-340132000.00%8884.910001000002000.00%000000.0000000000
25Christian KyrouRocket (MTL)D18000-3609103320.00%81799.9900000000019000.00%000000.0000000000
26Fabian WagnerRocket (MTL)C9000000031000.00%0151.70000010001110050.00%1200000.0000000000
27Miko MatikkaRocket (MTL)LW/RW7000-3601563120.00%29313.3800011000000060.00%500000.0000000000
Team Total or Average3794073113-292281034633337511230210.67%101530514.0016284413285112397307246.62%134500100.43415110767
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
1Jiri PateraRocket (MTL)189720.9052.19106841394110000.73315180122
2Domenic DiVincentiisRocket (MTL)10000.9382.0729001160000.0000017000
Team Total or Average199720.9062.19109841404270000.733151817122


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
Aatu JamsenLW/RW222003-07-22No154 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Alex CampbellLW242001-02-27No182 Lbs6 ft0NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Alexandre DoucetC/LW/RW232002-01-12No192 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Camden ThiesingC242001-03-26No189 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Chase Bradley (Out of Payroll)LW232002-01-09No180 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$YesLink
Christian KyrouD222003-09-16No166 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Christian WolaninD301995-03-17No190 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Christopher Merisier-OrtizD242001-01-17No171 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Damian ClaraG202005-01-13No214 Lbs6 ft6NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Dawson BarteauxD252000-01-12No185 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Domenic DiVincentiisG212004-03-04No191 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Fabian WagnerC212004-05-07No170 Lbs5 ft10NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Filip MesarRW212004-01-03No176 Lbs5 ft9NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Isaac BelliveauD232002-11-26No185 Lbs6 ft2NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Jack RathboneD261999-05-20No177 Lbs5 ft10NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jiri PateraG261999-02-24No212 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lucas EdmondsLW/RW242001-01-27No185 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Miko MatikkaLW/RW222003-10-26No187 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Noah LabaC222003-08-04No191 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Noel HoefenmayerD261999-01-06No191 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Robert MastrosimoneC/LW242001-01-24No170 Lbs5 ft10NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Rodwin DionicioD212004-03-30No196 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Samuel SavoieC/LW212004-03-25No189 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Sandis VilmanisLW/RW212004-01-23No192 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Shawn ElementC252000-04-23No192 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ty YoungG212004-09-11No181 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Zach SawchenkoG271997-12-30No185 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Zayde WisdomC232002-07-07No195 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2823.29185 Lbs6 ft03.07410,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sandis VilmanisNoah LabaFilip Mesar40122
2Alexandre DoucetZayde WisdomLucas Edmonds30122
3Samuel SavoieCamden ThiesingMiko Matikka20122
4Robert MastrosimoneShawn ElementNoah Laba10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninNoel Hoefenmayer40122
2Rodwin DionicioJack Rathbone30122
3Dawson BarteauxChristian Kyrou20122
4Isaac BelliveauChristopher Merisier-Ortiz10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sandis VilmanisNoah LabaFilip Mesar60122
2Alexandre DoucetZayde WisdomLucas Edmonds40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninNoel Hoefenmayer60122
2Rodwin DionicioJack Rathbone40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Noah LabaZayde Wisdom60122
2Sandis VilmanisFilip Mesar40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninNoel Hoefenmayer60122
2Rodwin DionicioJack Rathbone40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Noah Laba60122Christian WolaninNoel Hoefenmayer60122
2Zayde Wisdom40122Rodwin DionicioJack Rathbone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Noah LabaZayde Wisdom60122
2Sandis VilmanisFilip Mesar40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninNoel Hoefenmayer60122
2Rodwin DionicioJack Rathbone40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sandis VilmanisNoah LabaFilip MesarChristian WolaninNoel Hoefenmayer
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sandis VilmanisNoah LabaFilip MesarChristian WolaninNoel Hoefenmayer
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Campbell, Fabian Wagner, Camden ThiesingAlex Campbell, Fabian WagnerCamden Thiesing
Extra Defensemen
Normal PowerPlayPenalty Kill
Dawson Barteaux, Christian Kyrou, Isaac BelliveauDawson BarteauxChristian Kyrou, Isaac Belliveau
Penalty Shots
Noah Laba, Zayde Wisdom, Sandis Vilmanis, Filip Mesar, Alexandre Doucet
Goalie
#1 : Jiri Patera, #2 : Domenic DiVincentiis


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1820W1427211437542710022834301
All Games
GPWLOTWOTL SOWSOLGFGA
187700224242
Home Games
GPWLOTWOTL SOWSOLGFGA
83300112017
Visitor Games
GPWLOTWOTL SOWSOLGFGA
104400112225
Last 10 Games
WLOTWOTL SOWSOL
350020
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1001616.00%1041090.38%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13688141251214144
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23249147.25%27859446.80%11724148.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
422287448141229113


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
8 - 2025-08-223Rocket1Bruins2LBoxScore
9 - 2025-08-2317Rocket2Thunderbirds1WBoxScore
15 - 2025-08-2934Crunch0Rocket3WBoxScore
16 - 2025-08-3044Crunch2Rocket6WBoxScore
22 - 2025-09-0574Comets3Rocket5WBoxScore
23 - 2025-09-0687Rocket3Comets4LXXBoxScore
27 - 2025-09-10108Comets3Rocket0LBoxScore
29 - 2025-09-12114Bruins2Rocket1LXXBoxScore
30 - 2025-09-13121Bruins3Rocket2LBoxScore
36 - 2025-09-19150Rocket0Senators2LBoxScore
37 - 2025-09-20161Rocket2Senators1WBoxScore
41 - 2025-09-24187Rocket3Americans2WBoxScore
43 - 2025-09-26192Rocket4Crunch3WXXBoxScore
44 - 2025-09-27202Rocket1Americans5LBoxScore
48 - 2025-10-01224Americans3Rocket1LBoxScore
50 - 2025-10-03230Senators1Rocket2WXXBoxScore
51 - 2025-10-04248Rocket2Senators3LBoxScore
55 - 2025-10-08262Rocket4Bears2WBoxScore
57 - 2025-10-10272Rocket-Penguins-
58 - 2025-10-11287Rocket-Phantoms-
62 - 2025-10-15302Rocket-Crunch-
64 - 2025-10-17312Marlies-Rocket-
65 - 2025-10-18318Marlies-Rocket-
69 - 2025-10-22346Americans-Rocket-
72 - 2025-10-25362Rocket-Wolfpack-
73 - 2025-10-26375Rocket-Islanders-
78 - 2025-10-31399Senators-Rocket-
80 - 2025-11-02422Thunderbirds-Rocket-
85 - 2025-11-07430Crunch-Rocket-
86 - 2025-11-08438Crunch-Rocket-
92 - 2025-11-14473Canucks-Rocket-
93 - 2025-11-15487Canucks-Rocket-
99 - 2025-11-21511Rocket-Monsters-
100 - 2025-11-22526Rocket-Monsters-
104 - 2025-11-26550Penguins-Rocket-
106 - 2025-11-28560Rocket-Comets-
107 - 2025-11-29568Comets-Rocket-
111 - 2025-12-03595Bears-Rocket-
113 - 2025-12-05602Rocket-Wolfpack-
115 - 2025-12-07628Rocket-Bruins-
120 - 2025-12-12650Wolfpack-Rocket-
121 - 2025-12-13661Wolfpack-Rocket-
127 - 2025-12-19678Rocket-Marlies-
128 - 2025-12-20691Rocket-Marlies-
132 - 2025-12-24714Rocket-Senators-
136 - 2025-12-28746Rocket-Americans-
137 - 2025-12-29752Rocket-Marlies-
139 - 2025-12-31759Moose-Rocket-
141 - 2026-01-02770Moose-Rocket-
142 - 2026-01-03782Rocket-Crunch-
146 - 2026-01-07805Rocket-Marlies-
149 - 2026-01-10830Senators-Rocket-
153 - 2026-01-14853Comets-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16862Americans-Rocket-
156 - 2026-01-17869Americans-Rocket-
160 - 2026-01-21894Islanders-Rocket-
162 - 2026-01-23903Rocket-Comets-
163 - 2026-01-24913Rocket-Comets-
167 - 2026-01-28938Marlies-Rocket-
169 - 2026-01-30947Monsters-Rocket-
170 - 2026-01-31957Monsters-Rocket-
176 - 2026-02-06994Marlies-Rocket-
177 - 2026-02-071008Phantoms-Rocket-
180 - 2026-02-101024Rocket-Moose-
181 - 2026-02-111033Rocket-Moose-
184 - 2026-02-141063Rocket-Canucks-
185 - 2026-02-151070Rocket-Canucks-
190 - 2026-02-201084Rocket-Americans-
191 - 2026-02-211095Rocket-Crunch-
195 - 2026-02-251115Senators-Rocket-
197 - 2026-02-271127Senators-Rocket-
198 - 2026-02-281142Rocket-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance15,3357,561
Attendance PCT95.84%94.51%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 2862 - 95.40% 71,516$572,124$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,234,450$ 112,000$ 112,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 34,450$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,002,434$ 145 40,560$ 5,881,200$




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
1282442305424250166844123130210212384394121100332212782451102504446941901067958222207497387151812508121817724936713.59%5397486.27%31527250161.06%1294228856.56%688114859.93%229916681711553963515
13763725034342361657138171600113120873338209033211167838942364296653701016267206907316446731776518117615644215713.54%4506186.44%31402231660.54%1282227156.45%678109062.20%200414161680537922483
1476392502523240172683822110140011781363817140112312391329424043867817096806022200723749735176850890213703676317.17%3515384.90%11398240958.03%1216223954.31%632110557.19%201414421676528914478
1476392502523240172683822110140011781363817140112312391329424043867817096806022200723749735176850890213703676317.17%3515384.90%11398240958.03%1216223954.31%632110557.19%201414421676528914478
1476392502523240172683822110140011781363817140112312391329424043867817096806022200723749735176850890213703676317.17%3515384.90%11398240958.03%1216223954.31%632110557.19%201414421676528914478
1582372502549223173504120110122511185264117140132411288241002234056280100947152218907307286951916581116116584167518.03%4605288.70%61460257156.79%1370247455.38%649110858.57%219015511809574998525
1582372502549223173504120110122511185264117140132411288241002234056280100947152218907307286951916581116116584167518.03%4605288.70%61460257156.79%1370247455.38%649110858.57%219015511809574998525
16824328023332511609141161800313111852641271002020140756510225146171201501127856227007917197481795506106015444337316.86%4406784.77%71572260760.30%1375235358.44%702115660.73%221815941755564983521
1772322806411211153583619130310011071393613150331110182198321139360409075666320530673701657166447197912993765815.43%4255686.82%11505231365.07%1286213260.32%63699763.79%193813861562501863451
18724914061112611391223628602000141657636218041111207446114261481742080110846020700684690674166850098015383839524.80%3944788.07%51317220259.81%1222206859.09%640107559.53%199914451499480850458
19703822020532311518035211000022127676035171202031104842093231411642010080895520050641678674162247681613203838722.72%3114685.21%21281219958.25%1110201355.14%600102458.59%192714091496464820436
201877000224242083300011201731044000112225-320427211401121414437513688141254271002283431001616.00%1041090.38%123249147.25%27859446.80%11724148.55%422287448141229113
Total Regular Season86444127203441314526481838810431233134012229211325889436433208138022192224132394937410982648481574637100121074854647241021367986801477611990057651148516806452279217.51%463662486.54%37159502699859.08%142352538456.08%72551226259.17%2323416638188015978103735467
Playoff
11844000002220242200000109142200000121118224163000112918407450602135819720946817.39%901484.44%115326657.52%15228453.52%6611457.89%186125200619244
121156000002528-35320000014113624000001117-610254469020106826106210381298711912456957.25%831779.52%022237459.36%21436858.15%8316151.55%2952032768814470
13624000001315-2321000009813030000047-3413213400064120804748521866211718952713.46%54296.30%114427951.61%14226753.18%6111453.51%2021332176910652
14734000001013-33120000056-14220000057-2610182801033313204440371745212412940615.00%50394.00%010120050.50%12523154.11%529455.32%173117185559244
151257000001722-55320000088072500000914-51017314801076226007282922649115521365710.77%74790.54%117538145.93%19237850.79%7114847.97%3002053049615474
16126600000312476240000016160642000001587123157880108121030508499992847914219567811.94%63690.48%124839462.94%21537557.33%10516563.64%3152202909215277
18624000001416-23030000058-33210000098141425390004731510465035168469211135514.29%44393.18%08818946.56%9921446.26%529753.61%14496164497940
1910640000031274532000002016453200000111101231568701091011217068727128487157169551221.82%54885.19%015827058.52%18333554.63%8816154.66%2481742377112362
Total Playoff72333900000163165-23416180000087825381721000007683-766163293456060585047171804975445271871546117514604295813.52%5126088.28%41289235354.78%1322245253.92%578105454.84%186812771877584944466