Rocket

GP: 70 | W: 38 | L: 23 | OTL: 9 | P: 85
GF: 193 | GA: 146 | PP%: 18.70% | PK%: 88.14%
GM : Simon Charland | Morale : 50 | Team Overall : 62
Next Games #1061 vs Heat

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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
1Josh CurrieX100.005543886165797760545963586175685750610
2Justin DowlingX100.005639896366757362716457615978685350610
3Brett LeasonX100.007546895891848356515553595461627050600
4Colin BlackwellX100.005841886367737062646160586273675450600
5Egor SharangovichX100.006442865980879057525456585763625650600
6Brandon DuhaimeX100.006358775877878956535754555865636050590
7Evan WeingerX100.005942875973858258545657555965636250590
8Emile PoirierX100.006449835880797856535555595871667850590
9Morgan KlimchukX100.005745866071828059525558566068657650590
10Pascal LabergeX100.005643846372777359615260585963627650590
11Daniel WalcottX100.005149715966858758515755525471665950580
12Peter AbbandonatoX100.005641835871737256635557545863626550570
13Ben HarpurX100.007859776099867859305856675269655850660
14Kevin ConnautonX100.007346856081867759306458705478685150660
15Jarred TinordiX100.007457795998827458305756644875716850650
16Karl AlznerX100.006645845986838158305756674580725650650
17Jon LizotteX100.006844815881868756305750594771665950630
18Noah JuulsenX100.007742836280736561306056655265668050630
19Thomas HickeyX100.005842866371786762306057685579696650630
20Brandon ManningX100.006750756078736859305855615378685450620
21Kristians RubinsX100.007845825794767556305551604567646150620
22Thomas GregoireX100.005142896066787759305854534663625750580
Scratches
1Antoine Morand (R)X100.005344865758858755665454525361626850570
2Ivan Chekhovich (R)X100.005238885860797857515654555361626450570
TEAM AVERAGE100.00634684607680785846575659546965635061
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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 Werner (R)100.00766664907574767574767565695750720
2Ukko-Pekka Luukkonen100.00725654867170727170727161657150680
Scratches
1Adam Wilcox100.00657674726463656463656475815750660
2Alex Dubeau100.00675250706665676665676671755950640
TEAM AVERAGE100.0070636180696870696870696873615068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Hartsburg69677167987174CAN5938$


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
1Thomas HickeyRocket (MTL)D7012294152003175107326111.21%60128618.379716721980111241320.00%000000.6411000232
2Karl AlznerRocket (MTL)D701030406300486011842828.47%86162323.1971522762870220317100.00%000000.4900000115
3Jarred TinordiRocket (MTL)D7073239715830129448434768.33%70145220.7551419572640110273310.00%000000.5400320033
4Emile PoirierRocket (MTL)LW70152338-233584621323610611.36%7115916.566152141277000002260.23%8800000.6601001253
5Morgan KlimchukRocket (MTL)LW70182038213807939137408813.14%3118216.90691541283000034147.71%10900020.6402000410
6Josh CurrieRocket (MTL)RW70112536192756671178511446.18%16154022.014121652280000103450050.00%16400010.47611010220
7Mikhail VorobyevMontreal CanadiensC441619351124086136123309613.01%10102823.3747113617401112214160.69%133300000.68010000236
8Justin DowlingRocket (MTL)C409253414120371169524719.47%587021.76211132313010161971358.43%99100000.7815000441
9Ben HarpurRocket (MTL)D568243210170201375812528716.40%56127922.853912952360110218100.00%000000.5000102313
10Brett LeasonRocket (MTL)RW60111829-16001244411934839.24%499916.654101441235000002154.55%6600000.5802000121
11Egor SharangovichRocket (MTL)C701216280380981011034410211.65%7129018.4356113322211271973049.64%125900000.4329000215
12Colin BlackwellRocket (MTL)C5612102281802787111378410.81%1179514.210000821371732152.95%57600000.5517000023
13Brandon DuhaimeRocket (MTL)RW706142055115653048215312.50%36479.250002140000491161.97%7100000.6211012011
14Noah JuulsenRocket (MTL)D70514195840131455210309.62%5497613.9633622550001105000.00%000000.3900000102
15Evan WeingerRocket (MTL)RW7097167280493378235911.54%270710.100005370001171156.45%6200000.4512000112
16Daniel WalcottRocket (MTL)LW7078151127541267322529.59%386512.36000011011480050.00%5000000.3500001120
17Markus NutivaaraMontreal CanadiensD3447117180311831112012.90%2350614.8943723890000100000.00%000000.4300000100
18Pascal LabergeRocket (MTL)C70381108020415410405.56%23845.50000260004221050.31%32200000.5700000000
19Brandon ManningRocket (MTL)D703698601067322781711.11%476238.90011310000056010.00%000000.2900011101
20Kevin ConnautonRocket (MTL)D12279660161822989.09%1128623.842131955000058200.00%000000.6300000011
21Matthew PecaMontreal CanadiensC242465809252051710.00%42008.3500000000120059.38%19200000.6000000101
22Valtteri FilppulaMontreal CanadiensC542610051925111616.00%212525.172133160000280171.24%15300000.9502000100
23Peter AbbandonatoRocket (MTL)C55134-1002911259.09%1821.490221110001201047.95%7300000.9711000000
24Thomas GregoireRocket (MTL)D5413450061333633.33%92554.7310116000045100.00%000000.3100000100
25Kristians RubinsRocket (MTL)D4003352403444130.00%102205.520000000000000.00%000000.2700000000
26Ivan ChekhovichRocket (MTL)LW48202-2401619298196.90%22946.1400000000010050.00%1400000.1400000001
27Jon LizotteRocket (MTL)D40022241526943120.00%133649.1200001000016000.00%000000.1100100001
28Sam CarrickMontreal CanadiensC2211201551529278233.70%21838.32000000002441064.32%18500000.2200001000
Team Total or Average1500191360551162100210014791263194058714449.85%5232123314.166712619364829095813432811341655.90%570800030.521454558313342
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 WernerRocket (MTL)35201230.9052.19208023767990100.2867350210
2Ukko-Pekka LuukkonenRocket (MTL)36181160.9271.67215627608180000.702473535831
3Adam WilcoxRocket (MTL)10000.8005.2223002100000.0000035000
Team Total or Average72382390.9151.94426041013816270100.6485470701041


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 WernerG231997-05-02Yes205 Lbs6 ft5NoNoNo4RFAPro & Farm300,000$0$0$NoNHL Link
Adam WilcoxG281992-11-26No189 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Alex DubeauG271994-01-07No175 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Antoine MorandC211999-02-18Yes184 Lbs5 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Ben HarpurD261995-01-12No231 Lbs6 ft6NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brandon DuhaimeRW231997-05-22No200 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon ManningD301990-06-04No205 Lbs6 ft1NoNoNo2UFAPro & Farm1,849,068$0$0$NoLink / NHL Link
Brett LeasonRW211999-04-30No210 Lbs6 ft5NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Colin BlackwellC271993-03-28No190 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Daniel WalcottLW261994-02-19No170 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Egor SharangovichC221998-06-06No196 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Emile PoirierLW261994-12-14No196 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Evan WeingerRW231997-04-18No193 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ivan ChekhovichLW221999-01-04Yes185 Lbs5 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Jarred TinordiD281992-02-20No230 Lbs6 ft6NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jon LizotteD261994-11-10No216 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josh CurrieRW281992-10-29No172 Lbs5 ft10NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Justin DowlingC301990-10-01No180 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Karl AlznerD321988-09-24No213 Lbs6 ft3NoNoNo2UFAPro & Farm1,055,586$0$0$NoLink / NHL Link
Kevin ConnautonD301990-02-23No205 Lbs6 ft2NoNoNo1UFAPro & Farm2,250,000$0$0$NoLink / NHL Link
Kristians RubinsD241996-12-11No221 Lbs6 ft5NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Morgan KlimchukLW251995-03-02No185 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah JuulsenD231997-04-02No198 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Pascal LabergeC221998-04-09No172 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Peter AbbandonatoC221998-03-25No195 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Thomas GregoireD221998-07-15No170 Lbs5 ft11NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Thomas HickeyD311989-02-08No183 Lbs6 ft0NoNoNo2UFAPro & Farm2,500,000$0$0$NoLink / NHL Link
Ukko-Pekka LuukkonenG211999-03-09No196 Lbs6 ft4NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.32195 Lbs6 ft02.82580,523$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJustin DowlingJosh Currie40122
2Emile PoirierEgor SharangovichBrett Leason30122
3Daniel WalcottColin BlackwellEvan Weinger20122
4Justin DowlingPascal LabergeBrandon Duhaime10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurKevin Connauton40122
2Karl AlznerJarred Tinordi30122
3Thomas HickeyNoah Juulsen20122
4Jon LizotteKristians Rubins10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJustin DowlingJosh Currie60122
2Emile PoirierEgor SharangovichBrett Leason40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurKevin Connauton60122
2Karl AlznerJarred Tinordi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Justin DowlingJosh Currie60122
2Egor SharangovichColin Blackwell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurKevin Connauton60122
2Karl AlznerJarred Tinordi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Justin Dowling60122Ben HarpurKevin Connauton60122
2Josh Currie40122Karl AlznerJarred Tinordi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Justin DowlingJosh Currie60122
2Egor SharangovichColin Blackwell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurKevin Connauton60122
2Karl AlznerJarred Tinordi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJustin DowlingJosh CurrieBen HarpurKevin Connauton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJustin DowlingJosh CurrieBen HarpurKevin Connauton
Extra Forwards
Normal PowerPlayPenalty Kill
Peter Abbandonato, Evan Weinger, Brandon DuhaimePeter Abbandonato, Evan WeingerBrandon Duhaime
Extra Defensemen
Normal PowerPlayPenalty Kill
Brandon Manning, Thomas Gregoire, Thomas HickeyBrandon ManningThomas Gregoire, Thomas Hickey
Penalty Shots
Justin Dowling, Josh Currie, Egor Sharangovich, Colin Blackwell, Brett Leason
Goalie
#1 : Adam Werner, #2 : Ukko-Pekka Luukkonen


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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
7085L1193351544187616274979671424010
All Games
GPWLOTWOTL SOWSOLGFGA
7033231148193146
Home Games
GPWLOTWOTL SOWSOLGFGA
34171000259370
Visitor Games
GPWLOTWOTL SOWSOLGFGA
361613112310076
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3536618.70%3884688.14%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6136435957980604815
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1247220156.66%1157210754.91%55495558.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
186913241537488856450


Last Played Games
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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 - 2020-10-184Rocket3Stars4LBoxScore
2 - 2020-10-1918Thunderbirds1Rocket0LBoxScore
5 - 2020-10-2240Heat1Rocket8WBoxScore
6 - 2020-10-2353Rocket5Eagles0WBoxScore
7 - 2020-10-2466Rocket6IceHogs1WBoxScore
8 - 2020-10-2570Rocket10Checkers2WBoxScore
9 - 2020-10-2691Marlies1Rocket2WXXBoxScore
13 - 2020-10-30110Sound Tigers6Rocket0LBoxScore
14 - 2020-10-31129Rampage3Rocket2LXXBoxScore
15 - 2020-11-01141Rocket2Wolves3LBoxScore
17 - 2020-11-03151Rocket1Devils2LBoxScore
19 - 2020-11-05166Rocket2Stars4LBoxScore
20 - 2020-11-06167Rocket2Wild0WBoxScore
22 - 2020-11-08186Condors3Rocket5WBoxScore
26 - 2020-11-12210Heat0Rocket3WBoxScore
29 - 2020-11-15230Rocket0Barracuda3LBoxScore
30 - 2020-11-16240Americans3Rocket2LXXBoxScore
33 - 2020-11-19259Rocket1Senators2LXXBoxScore
34 - 2020-11-20267Rocket0Stars3LBoxScore
35 - 2020-11-21277Reign0Rocket9WBoxScore
38 - 2020-11-24298Rocket3Penguins2WBoxScore
39 - 2020-11-25309Wolves3Rocket1LBoxScore
43 - 2020-11-29333Penguins2Rocket1LXXBoxScore
45 - 2020-12-01348Rocket3Sound Tigers0WBoxScore
46 - 2020-12-02363Marlies0Rocket2WBoxScore
48 - 2020-12-04381Rocket5Wolves4WXXBoxScore
51 - 2020-12-07395Devils1Rocket0LBoxScore
53 - 2020-12-09412Rocket1Gulls0WBoxScore
55 - 2020-12-11422Rocket3Comets4LXXBoxScore
56 - 2020-12-12433Sound Tigers3Rocket2LBoxScore
58 - 2020-12-14448Rocket4Roadrunners1WBoxScore
59 - 2020-12-15464Comets1Rocket2WXXBoxScore
62 - 2020-12-18481Rocket2Barracuda1WXXBoxScore
63 - 2020-12-19490Bruins2Rocket1LXXBoxScore
65 - 2020-12-21511Rocket3Bears1WBoxScore
66 - 2020-12-22524Eagles1Rocket8WBoxScore
72 - 2020-12-28552Wolf Pack3Rocket1LBoxScore
74 - 2020-12-30571Rocket6Reign1WBoxScore
76 - 2021-01-01577Rocket2Admirals1WBoxScore
77 - 2021-01-02587Gulls3Rocket5WBoxScore
80 - 2021-01-05611Rocket0Devils3LBoxScore
81 - 2021-01-06618Senators2Rocket3WBoxScore
84 - 2021-01-09640Rocket1Crunch2LXBoxScore
85 - 2021-01-10648Wild2Rocket3WBoxScore
89 - 2021-01-14673Thunderbirds0Rocket2WBoxScore
91 - 2021-01-16687Rocket6Moose1WBoxScore
94 - 2021-01-19700Rocket0Checkers2LBoxScore
95 - 2021-01-20708Wolves3Rocket4WBoxScore
97 - 2021-01-22727Rocket2Comets4LBoxScore
99 - 2021-01-24740Monsters2Rocket3WBoxScore
102 - 2021-01-27766Barracuda3Rocket1LBoxScore
104 - 2021-01-29782Rocket1Phantoms5LBoxScore
106 - 2021-01-31795Moose0Rocket5WBoxScore
107 - 2021-02-01808Rocket5Eagles4WXBoxScore
110 - 2021-02-04826Rocket2Wild3LBoxScore
111 - 2021-02-05833Bears5Rocket1LBoxScore
116 - 2021-02-10855Rampage3Rocket2LXXBoxScore
118 - 2021-02-12869Rocket4Monsters1WBoxScore
119 - 2021-02-13885Rocket6IceHogs2WBoxScore
120 - 2021-02-14895Condors2Rocket3WBoxScore
122 - 2021-02-16905Rocket0Rampage2LBoxScore
126 - 2021-02-20925Roadrunners2Rocket3WBoxScore
129 - 2021-02-23949Rocket4Thunderbirds2WBoxScore
131 - 2021-02-25958Phantoms1Rocket2WBoxScore
132 - 2021-02-26978Rocket1Griffins3LBoxScore
134 - 2021-02-28989Rocket2Wolf Pack0WBoxScore
135 - 2021-03-01999Americans3Rocket1LBoxScore
136 - 2021-03-021018Rocket2Americans3LXXBoxScore
138 - 2021-03-041023Stars1Rocket4WBoxScore
140 - 2021-03-061049Heat4Rocket2LBoxScore
143 - 2021-03-091061Rocket-Heat-
145 - 2021-03-111081Checkers-Rocket-
148 - 2021-03-141106Crunch-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2021-03-171118Rocket-Bruins-
153 - 2021-03-191133Rocket-Checkers-
155 - 2021-03-211143Rocket-Marlies-
156 - 2021-03-221150Griffins-Rocket-
158 - 2021-03-241175IceHogs-Rocket-
159 - 2021-03-251179Rocket-Condors-
163 - 2021-03-291208Griffins-Rocket-
169 - 2021-04-041236Admirals-Rocket-
175 - 2021-04-101266Admirals-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance63,10132,362
Attendance PCT92.80%95.18%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
7 2808 - 93.59% 69,726$2,370,689$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
115,755$ 162,547$ 16,930$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 115,750$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
488,083$ 36 918$ 33,048$




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
157033230114819314647341710000259370233616130112310076248519335154401080604815187661364359579162749796714243536618.70%3884688.14%51247220156.66%1157210754.91%55495558.01%186913241537488856450
Total Regular Season304153960111411199196492701517950036310453322131153744608889466327139383919166225815338036326920083876132846272622026983203142636130163425315.48%172823486.46%125574942759.13%4949890555.58%2552429859.38%818758526605210836571927
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
Total Playoff321418000007076-61587000003834417611000003242-10287012419403030152178502272412308712436297722072612.56%2773687.00%2620111955.41%633115055.04%26248354.24%858580879274436211