Rocket

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 20 | GA: 25 | PP%: 15.56% | PK%: 86.27%
GM : Louis-Philippe Deshaies | Morale : 50 | Team Overall : N/A
Next Games #90 vs Griffins
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
1Antti SuomelaX100.00794393746454716072755766254848655000
2Jonah GadjovichX100.00767676667659605750456463614444625000
3Lias AnderssonXX100.00774491787054715762565581255151645000
4Lukas VejdemoXXX100.00777287647272775670505764544444615000
5Alexandre Texier (R)X100.00674290837163676442657060254747695000
6Ryan CarpenterXX100.00824587777367866074635686256061685000
7Sam CarrickXX100.00706876656876796780617063674646685000
8Marcus SorensenXX100.00714288796466905930636075256163675000
9Trevor LewisXX100.00774490747561675944606069257478645000
10Troy BrouwerXX100.00839384738354625744505867577984625000
11Will BittenXX100.00686087626069735771535659534444595000
12Austin CzarnikXXX100.00655880805865647180657066676263695000
13Sam AnasXX100.00665494665477797080746262594444675000
14Braydon CoburnX100.00804587728464746125474870808592605000
15Radim SimekX100.00844590667271635825514881255555625000
16Joel HanleyX100.00777093727072784925433964375354545000
17Lawrence PilutX100.00714290776169745625394780254848595000
18Otto Leskinen (R)X100.00646170746169745225494056384444535000
19Dakota MermisX100.00854487676777806525505075795555635000
Scratches
1Nick Henry (R)X100.00746985666969744950474660444444545000
2Brett LernoutX100.00808081648066734425313965375555525000
TEAM AVERAGE100.0075578671696673584954556844545562500
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
1Adam Wilcox100.0047556969434650534647304444485000
2Vitek Vanecek100.0063637968636564706565304444645000
Scratches
TEAM AVERAGE100.005559746953565762565630444456500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green81848082726777CAN5131,650,000$


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
1Austin CzarnikRocket (MTL)C/LW/RW855101115441731029.41%116821.102356300001432055.56%1800011.1800001110
2Ryan CarpenterRocket (MTL)C/RW82460801232141614.29%216921.242355320000430059.63%21800000.7100000100
3Troy BrouwerRocket (MTL)LW/RW8156-38016593611.11%012015.10022332000020066.67%600000.9900000010
4Marcus SorensenRocket (MTL)LW/RW8145-46051314287.14%014618.290227330000271045.45%1100000.6800000100
5Dakota MermisRocket (MTL)D61450609711469.09%013722.89011730000028000.00%000000.7300000000
6Alexandre TexierRocket (MTL)C8224-300114125816.67%011814.78101533000000045.97%12400000.6800000000
7Jonah GadjovichRocket (MTL)LW8213112013362233.33%2799.9000000000000166.67%300000.7600000001
8Trevor LewisRocket (MTL)C/RW8123-14061355220.00%114618.310223320000250066.67%2400000.4100000000
9Braydon CoburnRocket (MTL)D8112-1409381412.50%817622.12112631000040000.00%000000.2300000000
10Lawrence PilutRocket (MTL)D8202-4608763433.33%516821.10101429000035000.00%000000.2400000001
11Lias AnderssonRocket (MTL)C/LW8112-34071552720.00%110713.47000050000150047.37%7600000.3700000000
12Sam CarrickRocket (MTL)C/RW6022100456520.00%1498.2100000000000055.26%3800000.8100000000
13Sam AnasRocket (MTL)C/RW8022-240277060.00%210913.71000040000150057.69%2600000.3600000000
14Antti SuomelaRocket (MTL)C8011020251000.00%0435.4300016000030060.00%1000000.4600000000
15Radim SimekRocket (MTL)D8011-212022114140.00%417521.94000332000036000.00%000000.1100000000
16Joel HanleyRocket (MTL)D8011-31201310000.00%513416.77000010000015000.00%000000.1500000000
17Lukas VejdemoRocket (MTL)C/LW/RW8101-3606353620.00%18110.210000100000000.00%200000.2400000000
18Otto LeskinenRocket (MTL)D8011040820020.00%510913.7100008000019000.00%000000.1800000010
19Will BittenRocket (MTL)C/RW8000220132120.00%0617.7500000000000075.00%400000.0000000000
Team Total or Average148203757-241115148153132418515.15%38230615.58714215035500013503154.46%56000010.4900001332
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
1Vitek VanecekRocket (MTL)83410.8203.2046900251390000.000080000
2Adam WilcoxRocket (MTL)10001.0000.001100010000.000008000
Team Total or Average93410.8213.1248100251400000.000088000


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 Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam WilcoxRocket (MTL)G261994-04-25No187 Lbs6 ft0NoNoNo3Pro & Farm808,750$723,962$808,750$723,962$0$0$No808,750$808,750$Link
Alexandre TexierRocket (MTL)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Antti SuomelaRocket (MTL)C261994-03-17No172 Lbs6 ft0NoNoNo3Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$Link
Austin CzarnikRocket (MTL)C/LW/RW271992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Braydon CoburnRocket (MTL)D351985-02-27No223 Lbs6 ft5NoNoNo1Pro & Farm2,500,000$2,237,903$2,500,000$2,237,903$0$0$NoLink
Brett LernoutRocket (MTL)D241995-09-23No213 Lbs6 ft4NoNoNo2Pro & Farm850,000$760,887$850,000$760,887$0$0$No850,000$Link
Dakota MermisRocket (MTL)D261994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Joel HanleyRocket (MTL)D291991-06-08No193 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,074,194$1,200,000$1,074,194$0$0$No1,200,000$Link
Jonah GadjovichRocket (MTL)LW211998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm863,333$772,822$450,000$402,823$0$0$No863,333$Link
Lawrence PilutRocket (MTL)D241995-12-29No165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Lias AnderssonRocket (MTL)C/LW211998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm1,744,166$1,561,310$450,000$402,823$0$0$No1,744,166$Link
Lukas VejdemoRocket (MTL)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$828,024$450,000$402,823$0$0$No925,000$Link
Marcus SorensenRocket (MTL)LW/RW281992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$Link
Nick HenryRocket (MTL)RW201999-07-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm826,666$739,999$826,666$739,999$0$0$No826,666$826,666$
Otto LeskinenRocket (MTL)D231997-02-06Yes168 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Radim SimekRocket (MTL)D271992-09-20No205 Lbs5 ft10NoNoNo3Pro & Farm675,000$604,234$675,000$604,234$0$0$No675,000$675,000$Link
Ryan CarpenterRocket (MTL)C/RW291991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Sam AnasRocket (MTL)C/RW271993-05-31No154 Lbs5 ft8NoNoNo3Pro & Farm675,000$604,234$675,000$604,234$0$0$No675,000$675,000$Link
Sam CarrickRocket (MTL)C/RW281992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLink
Trevor LewisRocket (MTL)C/RW331987-01-07No205 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$1,790,323$2,000,000$1,790,323$0$0$No2,000,000$Link
Troy BrouwerRocket (MTL)LW/RW341985-08-17No215 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$2,685,484$3,000,000$2,685,484$0$0$NoLink
Vitek VanecekRocket (MTL)G241996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm863,333$772,822$450,000$402,823$0$0$No863,333$Link
Will BittenRocket (MTL)C/RW211998-07-10No168 Lbs5 ft10NoNoNo2Pro & Farm910,000$814,597$450,000$402,823$0$0$No910,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.96189 Lbs6 ft01.911,137,663$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis35122
2Marcus SorensenAlexandre TexierTroy Brouwer30122
3Lukas VejdemoLias AnderssonSam Anas25122
4Jonah GadjovichSam CarrickWill Bitten10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon CoburnDakota Mermis35122
2Radim SimekLawrence Pilut30122
3Joel HanleyOtto Leskinen25122
4Braydon CoburnDakota Mermis10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis60122
2Marcus SorensenAlexandre TexierTroy Brouwer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Carpenter60122Braydon CoburnDakota Mermis60122
2Austin Czarnik40122Radim SimekLawrence Pilut40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnDakota Mermis
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnDakota Mermis
Extra Forwards
Normal PowerPlayPenalty Kill
Antti Suomela, Lias Andersson, Sam AnasAntti Suomela, Lias AnderssonSam Anas
Extra Defensemen
Normal PowerPlayPenalty Kill
Joel Hanley, Otto Leskinen, Radim SimekJoel HanleyOtto Leskinen, Radim Simek
Penalty Shots
Ryan Carpenter, Austin Czarnik, Trevor Lewis, Marcus Sorensen, Alexandre Texier
Goalie
#1 : Vitek Vanecek, #2 : Adam Wilcox


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
1Bruins2110000056-12110000056-10000000000020.500510150075802750334903414324812433.33%16287.50%012222354.71%11921954.34%6411854.24%195133188579750
2Griffins2020000048-41010000024-21010000024-200.000481200758042503349037435331715.88%14285.71%012222354.71%11921954.34%6411854.24%195133188579750
3Marlies11000000211000000000001100000021121.000246007580155033490203819200.00%40100.00%012222354.71%11921954.34%6411854.24%195133188579750
4Senators31100100910-1210001007611010000024-230.500915240075804850334904917364814214.29%17382.35%012222354.71%11921954.34%6411854.24%195133188579750
Total834001002025-5522001001416-23120000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
_Since Last GM Reset834001002025-5522001001416-23120000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
_Vs Conference632001001617-142100100121202110000045-170.583162945007580905033490103347611528621.43%37586.49%012222354.71%11921954.34%6411854.24%195133188579750
_Vs Division832001002025-5521001001416-23110000069-370.43820375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
87W12037571321403811114800
All Games
GPWLOTWOTL SOWSOLGFGA
83401002025
Home Games
GPWLOTWOTL SOWSOLGFGA
52201001416
Visitor Games
GPWLOTWOTL SOWSOLGFGA
312000069
Last 10 Games
WLOTWOTL SOWSOL
340100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
45715.56%51786.27%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
50334907580
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12222354.71%11921954.34%6411854.24%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
195133188579750


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 - 2020-09-274Bruins4Rocket2LBoxScore
2 - 2020-09-2816Rocket2Senators4LBoxScore
4 - 2020-09-3024Senators3Rocket5WBoxScore
5 - 2020-10-0135Rocket2Marlies1WBoxScore
6 - 2020-10-0250Rocket2Griffins4LBoxScore
8 - 2020-10-0458Senators3Rocket2LXBoxScore
11 - 2020-10-0776Griffins4Rocket2LBoxScore
13 - 2020-10-0988Bruins2Rocket3WBoxScore
14 - 2020-10-1090Rocket-Griffins-
16 - 2020-10-12101Rocket-Marlies-
18 - 2020-10-14112Rocket-Senators-
20 - 2020-10-16122Rocket-Crunch-
21 - 2020-10-17130Marlies-Rocket-
22 - 2020-10-18142Rocket-Griffins-
23 - 2020-10-19153Griffins-Rocket-
25 - 2020-10-21166Marlies-Rocket-
26 - 2020-10-22174Rocket-Bruins-
28 - 2020-10-24194Senators-Rocket-
30 - 2020-10-26203Rampage-Rocket-
32 - 2020-10-28212Rocket-Sound Tigers-
34 - 2020-10-30228Marlies-Rocket-
36 - 2020-11-01237Rocket-Admirals-
38 - 2020-11-03250Rocket-Phantoms-
40 - 2020-11-05259Sharks-Rocket-
43 - 2020-11-08272Rocket-Senators-
44 - 2020-11-09278Sound Tigers-Rocket-
45 - 2020-11-10292Griffins-Rocket-
46 - 2020-11-11299Rocket-Marlies-
47 - 2020-11-12307Rocket-Sound Tigers-
49 - 2020-11-14323Bruins-Rocket-
51 - 2020-11-16334Rocket-Wolf Pack-
52 - 2020-11-17344Rocket-Bruins-
53 - 2020-11-18352Penguins-Rocket-
54 - 2020-11-19366Wolves-Rocket-
56 - 2020-11-21379Rocket-Phantoms-
57 - 2020-11-22389IceHogs-Rocket-
58 - 2020-11-23400Rocket-Crunch-
59 - 2020-11-24411Rocket-Bruins-
60 - 2020-11-25417Crunch-Rocket-
62 - 2020-11-27432Rocket-Bruins-
63 - 2020-11-28439Crunch-Rocket-
65 - 2020-11-30456Admirals-Rocket-
66 - 2020-12-01466Rocket-Condors-
68 - 2020-12-03477Phantoms-Rocket-
69 - 2020-12-04487Rocket-Wolf Pack-
71 - 2020-12-06498Wolf Pack-Rocket-
72 - 2020-12-07512Bruins-Rocket-
74 - 2020-12-09523Rocket-Crunch-
75 - 2020-12-10535Sound Tigers-Rocket-
77 - 2020-12-12550Rocket-Crunch-
78 - 2020-12-13557Senators-Rocket-
79 - 2020-12-14570Rocket-Penguins-
81 - 2020-12-16581Stars-Rocket-
82 - 2020-12-17590Rocket-Soldiers-
84 - 2020-12-19600Flames-Rocket-
85 - 2020-12-20608Rocket-Sharks-
86 - 2020-12-21620Rocket-IceHogs-
88 - 2020-12-23630IceHogs-Rocket-
90 - 2020-12-25643Rocket-Senators-
91 - 2020-12-26653Monarchs-Rocket-
93 - 2020-12-28665Rocket-Monsters-
94 - 2020-12-29675Condors-Rocket-
95 - 2020-12-30689Griffins-Rocket-
96 - 2020-12-31698Rocket-Griffins-
97 - 2021-01-01710Penguins-Rocket-
99 - 2021-01-03721Rocket-Flames-
100 - 2021-01-04730Rocket-Monarchs-
102 - 2021-01-06743Moose-Rocket-
103 - 2021-01-07757Soldiers-Rocket-
105 - 2021-01-09770Rocket-Griffins-
Trade Deadline --- Trades can’t be done after this day is simulated!
106 - 2021-01-10779Bruins-Rocket-
108 - 2021-01-12794Crunch-Rocket-
109 - 2021-01-13802Rocket-Wolves-
111 - 2021-01-15817Marlies-Rocket-
113 - 2021-01-17834Rocket-Stars-
114 - 2021-01-18840Monsters-Rocket-
115 - 2021-01-19850Rocket-Marlies-
116 - 2021-01-20857Rocket-Rampage-
117 - 2021-01-21867Crunch-Rocket-
118 - 2021-01-22876Rocket-Sound Tigers-
121 - 2021-01-25888Monsters-Rocket-
122 - 2021-01-26899Rocket-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
447,304$ 2,616,625$ 2,311,042$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 274,326$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 111 34,408$ 3,819,288$




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
2020834001002025-5522001001416-23120000069-3720375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750
Total Regular Season834001002025-5522001001416-23120000069-3720375700758013250334901403811114845715.56%51786.27%012222354.71%11921954.34%6411854.24%195133188579750