Rocket

GP: 6 | W: 4 | L: 1 | OTL: 1 | P: 9
GF: 20 | GA: 12 | PP%: 16.22% | PK%: 93.75%
GM : Simon Charland | Morale : 50 | Team Overall : 61
Next Games #108 vs Comets

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
1Viktor Neuchev0XX100.006437956073867759646157586263646650610
2Aleksanteri Kaskimaki0X100.006036956169777159696257565861636650600
3Filip Mesar0X100.005636876365746761656254536461638050590
4Zayde Wisdom60X100.006239815971738258555756545863656250590
5Noah Laba0X100.007040835779756158625559565862646150590
6Sandis Vilmanis0XX100.006737945876757157615956556163614950590
7Alexandre Doucet0XXX100.006439825773677256535554585663654550580
8Camden Thiesing0X100.006340745872776957615556535764664350580
9Chase Bradley0X100.005838785968737156545859575663654950580
10Samuel Savoie0XX100.005737885868797357585655545761636550580
11Shawn Element0X100.006441705873728457555456535865674250580
12Lucas Edmonds0XX100.006037925669677555595457535664666250570
13Tristan Luneau0X100.006838886678857465306760645261637150650
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
1Alex Campbell0X100.006236955671746455525657545363666550570
2Robert Mastrosimone0XX100.005538795664777854605557525864666850570
3Aatu Jamsen0XX100.005837875668656655525358545762644950560
4Fabian Wagner0X100.005536915664736854615357525661634950560
5Miko Matikka0XX100.007238955481656453555250565162646750560
TEAM AVERAGE100.00623885587273725749585656546365575059
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 Patera100.00747874867372747372747366755650730
2Domenic DiVincentiis100.00747673797372747372747361654950710
Scratches
1Ty Young100.00737470807271737271737261655650700
2Zach Sawchenko100.00727772747170727170727168813650700
3Damian Clara100.00637067956261636261636260636950650
TEAM AVERAGE100.0071757183706971706971706370535070
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
1Aleksanteri KaskimakiRocket (MTL)C6066320513103170.00%012220.470332270001220047.11%12100000.9801000001
2Samuel SavoieRocket (MTL)C/LW6426140481531126.67%010517.55101626000000144.44%900001.1400000010
3Filip MesarRocket (MTL)RW614514037115159.09%010517.53000427000000014.29%700000.9500000100
4Noel HoefenmayerRocket (MTL)D623520014283725.00%513021.79022630000028200.00%000000.7600000100
5Tristan LuneauRocket (MTL)D632564097102530.00%313622.77202831000027100.00%000000.7300000001
6Viktor NeuchevRocket (MTL)LW/RW6325420124123825.00%014323.931124300001330061.76%3400100.7011000120
7Sandis VilmanisRocket (MTL)LW/RW641544011291744.44%09816.42202530000021062.50%800001.0101000110
8Chase BradleyRocket (MTL)LW60330203512230.00%17813.140000000001000.00%400000.7600000000
9Noah LabaRocket (MTL)C6033-18067102160.00%110617.820110120000130040.66%9100000.5601000000
10Alexandre DoucetRocket (MTL)C/LW/RW62020204982325.00%07512.6600000000000050.00%400000.5300000001
11Jack RathboneRocket (MTL)D6022120337460.00%312020.07000526000026000.00%000000.3300000000
12Christian WolaninRocket (MTL)D3022395517110.00%36321.2602261400006000.00%000000.6300010000
13Noah OstlundMontreal CanadiensC/LW3022260689360.00%07324.370114150000210052.44%8200000.5500000000
14Dawson BarteauxRocket (MTL)D6011000041010.00%16611.120000000001000.00%000000.3000000000
15Isaac BelliveauRocket (MTL)D6011-220423030.00%1386.380000000002000.00%000000.5200000000
16Zayde WisdomRocket (MTL)C61011201571214.29%06010.08000000000120055.56%5400000.3301000000
17Vincent DesharnaisMontreal CanadiensD2011240310120.00%14924.5700001000007000.00%000000.4100000000
18Rodwin DionicioRocket (MTL)D601111201032080.00%39115.18000113000015000.00%000000.2200000000
19Camden ThiesingRocket (MTL)C6000040012010.00%0254.2500002000060047.83%2300000.0000000000
20Christopher Merisier-OrtizRocket (MTL)D6000000010000.00%1223.820000000001000.00%000000.0000000000
21Christian KyrouRocket (MTL)D6000-120141300.00%2549.100000000007000.00%000000.0000000000
22Lucas EdmondsRocket (MTL)LW/RW6000000001240.00%0203.340000000000000.00%000000.0000000000
23Shawn ElementRocket (MTL)C6000000110000.00%081.4200001000000066.67%300000.0000000000
Team Total or Average12820365627755105981454112613.79%25179914.06610165130300022394148.41%44000100.6215010443
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)64110.9071.8136421111180000.600560011
Team Total or Average64110.9071.8136421111180000.600560011


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
Aleksanteri KaskimakiC212004-02-06No181 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$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 BradleyLW232002-01-09No180 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink
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 BelliveauD222002-11-26No185 Lbs6 ft2NoNoNo4ELCPro & 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
Tristan LuneauD212004-01-12No202 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Ty YoungG212004-09-11No181 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Viktor NeuchevLW/RW222003-10-25No165 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
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
3123.06185 Lbs6 ft03.10432,258$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Viktor NeuchevAleksanteri KaskimakiSandis Vilmanis40122
2Samuel SavoieNoah LabaFilip Mesar30122
3Chase BradleyZayde WisdomAlexandre Doucet20122
4Lucas EdmondsCamden ThiesingViktor Neuchev10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tristan LuneauChristian Wolanin40122
2Noel HoefenmayerJack Rathbone30122
3Rodwin DionicioDawson Barteaux20122
4Christian KyrouIsaac Belliveau10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Viktor NeuchevAleksanteri KaskimakiSandis Vilmanis60122
2Samuel SavoieNoah LabaFilip Mesar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tristan LuneauChristian Wolanin60122
2Noel HoefenmayerJack Rathbone40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Viktor NeuchevAleksanteri Kaskimaki60122
2Noah LabaZayde Wisdom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tristan LuneauChristian Wolanin60122
2Noel HoefenmayerJack Rathbone40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Viktor Neuchev60122Tristan LuneauChristian Wolanin60122
2Aleksanteri Kaskimaki40122Noel HoefenmayerJack Rathbone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Viktor NeuchevAleksanteri Kaskimaki60122
2Noah LabaZayde Wisdom40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tristan LuneauChristian Wolanin60122
2Noel HoefenmayerJack Rathbone40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Viktor NeuchevAleksanteri KaskimakiSandis VilmanisTristan LuneauChristian Wolanin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Viktor NeuchevAleksanteri KaskimakiSandis VilmanisTristan LuneauChristian Wolanin
Extra Forwards
Normal PowerPlayPenalty Kill
Shawn Element, Chase Bradley, Camden ThiesingShawn Element, Chase BradleyCamden Thiesing
Extra Defensemen
Normal PowerPlayPenalty Kill
Christopher Merisier-Ortiz, Rodwin Dionicio, Dawson BarteauxChristopher Merisier-OrtizRodwin Dionicio, Dawson Barteaux
Penalty Shots
Viktor Neuchev, Aleksanteri Kaskimaki, Noah Laba, Zayde Wisdom, Sandis Vilmanis
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
69SOL1203555145118247310201
All Games
GPWLOTWOTL SOWSOLGFGA
64100012012
Home Games
GPWLOTWOTL SOWSOLGFGA
3300000145
Visitor Games
GPWLOTWOTL SOWSOLGFGA
311000167
Last 10 Games
WLOTWOTL SOWSOL
410001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
37616.22%32293.75%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
51296196681
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8517349.13%8617250.00%428947.19%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
148102140467538


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 - 2025-09-10108Comets-Rocket-
29 - 2025-09-12114Bruins-Rocket-
30 - 2025-09-13121Bruins-Rocket-
36 - 2025-09-19150Rocket-Senators-
37 - 2025-09-20161Rocket-Senators-
41 - 2025-09-24187Rocket-Americans-
43 - 2025-09-26192Rocket-Crunch-
44 - 2025-09-27202Rocket-Americans-
48 - 2025-10-01224Americans-Rocket-
50 - 2025-10-03230Senators-Rocket-
51 - 2025-10-04248Rocket-Senators-
55 - 2025-10-08262Rocket-Bears-
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
Attendance5,6552,888
Attendance PCT94.25%96.27%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2848 - 94.92% 70,765$212,296$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,057,495$ 134,000$ 134,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 17,495$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,335,256$ 174 40,670$ 7,076,580$




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
2064100001201283300000014593110000167-192035550166811455129619118247310237616.22%32293.75%08517349.13%8617250.00%428947.19%148102140467538
Total Regular Season852438266034412944262618088184262331310122282013198774424262051350221921241307931376108726264778740471006106684864423872517927793477451959156891133016565445978217.54%456461686.50%36158032668059.23%140432496256.26%71801211059.29%2296116454184935883102205392
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