Rampage
GP: 80 | W: 48 | L: 27 | OTL: 5 | P: 101
GF: 371 | GA: 327 | PP%: 24.49% | PK%: 78.37%
GM : Julie Coulombe | Morale : 62 | Team Overall : 61
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 SPAgeContractSalary
1Martin HanzalX100.006742657667817375737475686970632557710281995,000$
2Alexandre Grenier (R)X100.006833747478807170707767716765584480700242900,000$
3Blake Pietila (R)X100.007435717575717375707773686553485148700222900,000$
4Max Friberg (R)X100.006331807270736970727568726753514581690232800,000$
5Kyle Rau (R)X100.006721836968817270747468696454524480680232700,000$
6Thomas Spelling (R)X100.00583175766465677657596551684744393963X0223500,000$
7Lawson Crouse (R)X100.007845656170528070486269604640408779620182500,000$
8Victor Olofsson (R)X100.005128766971716669615571536842417273620191500,000$
9Matthew Highmore (R)X100.006421744962626463656663356241416480570192500,000$
10Cameron Darcy (R)X100.004139645646706560666769354547454112570211500,000$
11Anton Karlsson (R)X100.005423596751524266495952556341416345550191500,000$
12Fredrik Olofsson (R)X100.006542495062467159506250424641415945530191500,000$
13Damon Severson (R)X100.0075278669687879735272776568524358817002131,100,000$
14Michael Stone (R)X100.006936807578756775567064726357473720700251999,999$
15Jeffrey FossX100.007232747372687372626963706167632869690272800,000$
16Joe Morrow (R)X100.006425747863657376447662695355534568680232550,000$
17Anton Lindholm (R)X100.006431796061596564426250825245445959640201500,000$
Scratches
1Austin Wuthrich (R)X100.007424646170576971635860555846453721600221500,000$
2Nolan Vesey (R)X100.007334646565477365556254494842435321580201500,000$
3Eric Robinson (R)X100.004930676456626259525471366145456276570202500,000$
4Vaclav Karabacek (R)X100.005328717142564764525256376741415722540191500,000$
5Kevin Stenlund (R)X100.006029555269525858525952444743415821530192500,000$
6Zachary Senyshyn (R)X100.004030686646534955585349466640407121520182500,000$
7Dylan Sadowy (R)X100.005541554959536353485561394241415221520191500,000$
8Kyle Pettit (R)X100.004541594751595451535561354641415221510191500,000$
9Jakub Zboril (R)X96.316341726360616359336455624640407938600182500,000$
10Louis Belpedio (R)X100.005526644347494943304455424741415019470191500,000$
TEAM AVERAGE99.86623269646363656556636255584846534861
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
1Laurent Brossoit100.00807073777668718171698549455080720
2Ebbe Siönäs100.00446851575156616973644942425680590
Scratches
TEAM AVERAGE100.0062696267646266757267674644538066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ron Wilson83816466557149USA562500,000$


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
1Alexandre GrenierRampage (Vgs)RW7945631083260012712227410019416.42%36160020.26416202121320292077047.39%2495834011.35140001135
2Martin HanzalRampage (Vgs)C733568103349751141492508013914.00%37134818.48413171715212341724055.49%17864425001.5315000642
3Max FribergRampage (Vgs)RW815443978160107972676512520.22%41133716.511415293222201161076251.32%764622011.4514000686
4Kyle RauRampage (Vgs)C8039458402001101242337213616.74%42126015.751217293119502231003152.94%8163521011.3324000283
5Blake PietilaRampage (Vgs)LW51344882844088692024912316.83%2199919.60111526271772029863153.26%924414011.6403000268
6Sebastian AhoGolden KnightsC72245175-320072911956013812.31%32120516.74320232415000021533344.61%11505417011.2425000452
7Damon SeversonRampage (Vgs)D8119527114100111124163578011.66%110194524.02111122252940330269200.00%03956000.7300000224
8Lawson CrouseRampage (Vgs)LW8028174591231517891105196126.67%26140617.5956111322720261114044.00%1001121010.6403010241
9Joe MorrowRampage (Vgs)D7363743-4260609311850395.08%71145919.99347101830113152200.00%02644000.5900000002
10Jamie OleksiakGolden KnightsD5873239268010411411148356.31%86143824.805712132040112155100.00%03262000.5400000210
11Michael StoneRampage (Vgs)D589303929215819110938428.26%68134423.186713161840002189010.00%02953000.5800010123
12Jeffrey FossRampage (Vgs)D744323623340801109641424.17%91146619.8213451411011188000.00%01731000.4900000002
13Thomas SpellingRampage (Vgs)RW60201333-31604040136447614.71%1362610.4351614620220122152.17%23198011.0500000413
14Anton LindholmRampage (Vgs)D7331518-1235591075823175.17%100116415.950001300000127000.00%0549000.3111010000
15Victor OlofssonRampage (Vgs)RW72791606026249534587.37%186018.350110150002311051.32%76253000.5300000001
16Matthew HighmoreRampage (Vgs)C8041014-5120652938112910.53%136738.42000170000101051.22%28716000.4200000021
17Eric RobinsonRampage (Vgs)LW7456113240592249122010.20%874310.040000160001141032.00%251114000.3000000002
18Jakub ZborilRampage (Vgs)D592810512028562015810.00%5273612.4900008000047100.00%0217000.2700000000
19Anton KarlssonRampage (Vgs)LW623710824050353110269.68%145278.510000150000300050.00%3059000.3800000110
20Nolan VeseyRampage (Vgs)LW28257226047132310138.70%431511.25101327000010030.00%1033000.4400000000
21Fredrik OlofssonRampage (Vgs)LW57246432052171431014.29%64017.04022227000050042.86%1402000.3000000001
22Cameron DarcyRampage (Vgs)C29325414046211314.29%11465.0601105000000056.52%4610000.6800000000
23Chris TierneyGolden KnightsC330320032111227.27%26421.4600017000070151.43%7010000.9300000100
24Vladimir ZharkovGolden KnightsRW1022000531100.00%22424.5200002000020066.67%600001.6300000000
25Sergei PlotnikovGolden KnightsLW1101-20054110100.00%02323.5700001000020057.14%700000.8500000000
26Zachary SenyshynRampage (Vgs)RW22011240753020.00%3793.600000300000000.00%101000.2500000000
27Austin WuthrichRampage (Vgs)RW11011-200902100.00%0363.330000200000000.00%120000.5500000000
28Louis BelpedioRampage (Vgs)D9011320424100.00%313815.430000100002000.00%002000.1400000000
29Kevin StenlundRampage (Vgs)C22000000010000.00%040.20000000000300100.00%100000.0000000000
30Vaclav KarabacekRampage (Vgs)RW21000000300000.00%0160.78000000000120036.36%1100000.0000000000
Team Total or Average154435960296117273430169816412630847141813.65%9002313514.9885139224256258081220502209411051.08%4877510514070.83829030444746
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
1Laurent BrossoitRampage (Vgs)59341730.8893.673138011921723914500.722185129221
2Ebbe SiönäsRampage (Vgs)35141020.8654.60171040131968550100.846132951001
Team Total or Average94482750.8804.0048494132326911464600.774318080222


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 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
Alexandre GrenierRampage (Vgs)RW241991-01-01Yes200 Lbs6 ft5NoNoNo2Pro & Farm900,000$0$0$No995,000$
Anton KarlssonRampage (Vgs)LW191996-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Anton LindholmRampage (Vgs)D201995-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Austin WuthrichRampage (Vgs)RW221993-01-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Blake PietilaRampage (Vgs)LW221993-01-01Yes200 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No995,000$
Cameron DarcyRampage (Vgs)C211994-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Damon SeversonRampage (Vgs)D211994-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm1,100,000$0$0$No1,600,000$2,500,000$
Dylan SadowyRampage (Vgs)LW191996-01-01Yes205 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Ebbe SiönäsRampage (Vgs)G201995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Eric RobinsonRampage (Vgs)LW201995-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Fredrik OlofssonRampage (Vgs)LW191996-01-01Yes204 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Jakub ZborilRampage (Vgs)D181997-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeffrey FossRampage (Vgs)D271988-01-01No205 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$
Joe MorrowRampage (Vgs)D231992-01-01Yes199 Lbs6 ft0NoNoNo2Pro & Farm550,000$0$0$No600,000$
Kevin StenlundRampage (Vgs)C191996-01-01Yes209 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kyle PettitRampage (Vgs)C191996-01-01Yes200 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Kyle RauRampage (Vgs)C231992-01-01Yes178 Lbs5 ft8NoNoNo2Pro & Farm700,000$0$0$No800,000$
Laurent BrossoitRampage (Vgs)G221993-01-01No202 Lbs6 ft3NoNoNo2Pro & Farm850,000$0$0$No950,000$
Lawson CrouseRampage (Vgs)LW181997-01-01Yes220 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Louis BelpedioRampage (Vgs)D191996-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Martin HanzalRampage (Vgs)C281987-01-01No226 Lbs6 ft6NoNoNo1Pro & Farm995,000$0$0$No
Matthew HighmoreRampage (Vgs)C191996-01-01Yes188 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Max FribergRampage (Vgs)RW231992-01-01Yes200 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No850,000$
Michael StoneRampage (Vgs)D251990-01-01Yes207 Lbs6 ft3NoNoNo1Pro & Farm999,999$0$0$No
Nolan VeseyRampage (Vgs)LW201995-01-01Yes210 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Thomas SpellingRampage (Vgs)RW221993-01-01Yes176 Lbs6 ft1NoYesNo3Pro & Farm500,000$0$0$No500,000$500,000$
Vaclav KarabacekRampage (Vgs)RW191996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Victor OlofssonRampage (Vgs)RW191996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Zachary SenyshynRampage (Vgs)RW181997-01-01Yes192 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2920.97198 Lbs6 ft11.62623,965$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake PietilaMartin HanzalAlexandre Grenier40122
2Lawson CrouseKyle RauMax Friberg30122
3Anton KarlssonCameron DarcyThomas Spelling20122
4Fredrik OlofssonMatthew HighmoreVictor Olofsson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneDamon Severson40122
2Jeffrey FossJoe Morrow30122
3Anton Lindholm20122
4Michael StoneDamon Severson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake PietilaMartin HanzalAlexandre Grenier60122
2Lawson CrouseKyle RauMax Friberg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Martin HanzalBlake Pietila60122
2Alexandre GrenierMax Friberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Martin Hanzal60122Michael StoneDamon Severson60122
2Blake Pietila40122Jeffrey FossJoe Morrow40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Martin HanzalBlake Pietila60122
2Alexandre GrenierMax Friberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Blake PietilaMartin HanzalAlexandre GrenierMichael StoneDamon Severson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Blake PietilaMartin HanzalAlexandre GrenierMichael StoneDamon Severson
Extra Forwards
Normal PowerPlayPenalty Kill
Cameron Darcy, Thomas Spelling, Victor OlofssonCameron Darcy, Thomas SpellingVictor Olofsson
Extra Defensemen
Normal PowerPlayPenalty Kill
Anton Lindholm, , Jeffrey FossAnton Lindholm, Jeffrey Foss
Penalty Shots
Martin Hanzal, Blake Pietila, Alexandre Grenier, Max Friberg, Kyle Rau
Goalie
#1 : Ebbe Siönäs, #2 : Laurent Brossoit


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
1Admirals303000001221-91010000057-220200000714-700.000122133001011381221485832954869681233743537114.29%15286.67%0938178852.46%881177249.72%684134450.89%169392617007621461730
2Barracuda20200000716-91010000036-310100000410-600.000714210010113812214678329548696875191540600.00%5180.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
3Bears22000000918110000005051100000041341.0009172601101138122146383295486968482210629555.56%5180.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
4Checkers4310000025187220000001367211000001212060.750254469001011381221413183295486968138415082221045.45%24866.67%1938178852.46%881177249.72%684134450.89%169392617007621461730
5Comets330000001468220000008441100000062461.000142135001011381221494832954869688325247511327.27%12191.67%0938178852.46%881177249.72%684134450.89%169392617007621461730
6Condors220000001367110000006241100000074341.00013213400101138122146683295486968862314395120.00%7357.14%0938178852.46%881177249.72%684134450.89%169392617007621461730
7Crunch63200100292723210000019145311001001013-370.583294877001011381221422883295486968190645614124416.67%27581.48%1938178852.46%881177249.72%684134450.89%169392617007621461730
8Devils6320001029218312000001113-2320000101881080.667294574001011381221418783295486968199585814020525.00%29486.21%1938178852.46%881177249.72%684134450.89%169392617007621461730
9Eagles32100000171342200000012571010000058-340.6671729460010113812214106832954869689828455421733.33%20765.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
10Griffins20100001612-61010000016-51000000156-110.2506101600101138122146483295486968702724438112.50%12191.67%0938178852.46%881177249.72%684134450.89%169392617007621461730
11Heat301020001817120002000131121010000056-140.6671826440010113812214998329548696811045386612325.00%19763.16%0938178852.46%881177249.72%684134450.89%169392617007621461730
12IceHogs311000101284211000009631000001032140.6671218300010113812214105832954869681034026709222.22%13192.31%0938178852.46%881177249.72%684134450.89%169392617007621461730
13Influenza22000000743110000003211100000042241.0007132000101138122146783295486968602285011327.27%4175.00%1938178852.46%881177249.72%684134450.89%169392617007621461730
14Little Stars312000001116-5211000009721010000029-720.333111627001011381221499832954869689441305020630.00%15286.67%0938178852.46%881177249.72%684134450.89%169392617007621461730
15Monsters63101010302193100101013943210000017125100.833304575001011381221419783295486968214694013423626.09%20670.00%1938178852.46%881177249.72%684134450.89%169392617007621461730
16Moose3200100015105210010009631100000064261.000152742001011381221411883295486968993014685240.00%70100.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
17Penguins311000011113-21100000052320100001611-530.500111829001011381221492832954869689229517317317.65%25964.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
18Phantoms220000001073110000006511100000042241.00010182800101138122146383295486968762320457114.29%10370.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
19Punishers413000001822-41010000025-3312000001617-120.25018304800101138122141368329548696814846268511327.27%13376.92%2938178852.46%881177249.72%684134450.89%169392617007621461730
20Reign20101000770100010003211010000045-120.50071118001011381221475832954869687224184812216.67%9188.89%0938178852.46%881177249.72%684134450.89%169392617007621461730
21Rocket21000001770110000003211000000145-130.7507121900101138122146383295486968672312458112.50%6183.33%0938178852.46%881177249.72%684134450.89%169392617007621461730
22Senators614010002628-2302010001417-3312000001211140.333264672001011381221419783295486968176704611027518.52%23769.57%0938178852.46%881177249.72%684134450.89%169392617007621461730
23Sound Tigers21000001880110000005411000000134-130.7508132100101138122147883295486968622718437114.29%90100.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
24Thunderbirds3210000013112110000004222110000099040.6671319320010113812214918329548696811240426123521.74%17288.24%1938178852.46%881177249.72%684134450.89%169392617007621461730
25Wolfpack32000010177101100000072521000010105561.0001724410010113812214120832954869689642208118422.22%10190.00%0938178852.46%881177249.72%684134450.89%169392617007621461730
Total803827061443713274440221106010188145434016160013418318211010.6313716069770110113812214269183295486968269191574817583438424.49%3567778.37%8938178852.46%881177249.72%684134450.89%169392617007621461730
_Since Last GM Reset803827061443713274440221106010188145434016160013418318211010.6313716069770110113812214269183295486968269191574817583438424.49%3567778.37%8938178852.46%881177249.72%684134450.89%169392617007621461730
_Vs Conference47221803121228199292313703000117882924911001211111110560.5962283665940010113812214158083295486968153652948610182265825.66%2345676.07%6938178852.46%881177249.72%684134450.89%169392617007621461730
_Vs Division1878011108476893501000444409430011040328190.52884139223001011381221461283295486968565192160391711419.72%791679.75%2938178852.46%881177249.72%684134450.89%169392617007621461730

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
80101OTW137160697726912691915748175801
All Games
GPWLOTWOTL SOWSOLGFGA
8038276144371327
Home Games
GPWLOTWOTL SOWSOLGFGA
4022116010188145
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4016160134183182
Last 10 Games
WLOTWOTL SOWSOL
441100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3438424.49%3567778.37%8
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8329548696810113812214
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
938178852.46%881177249.72%684134450.89%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
169392617007621461730


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 - 2020-10-096Devils6Rampage3LBoxScore
5 - 2020-10-1330Senators4Rampage3LBoxScore
10 - 2020-10-1853Monsters3Rampage5WBoxScore
12 - 2020-10-2063Rampage8Punishers6WBoxScore
14 - 2020-10-2276Rampage3Monsters8LBoxScore
16 - 2020-10-2485Crunch4Rampage8WBoxScore
19 - 2020-10-27104Rampage3Senators4LBoxScore
20 - 2020-10-28110Eagles2Rampage5WBoxScore
21 - 2020-10-29113Rampage5Devils2WBoxScore
25 - 2020-11-02135Heat5Rampage6WXR1BoxScore
27 - 2020-11-04144Rampage4Crunch1WBoxScore
29 - 2020-11-06157Rampage7Thunderbirds3WBoxScore
30 - 2020-11-07167Comets1Rampage4WR1BoxScore
34 - 2020-11-11185Moose4Rampage5WXBoxScore
35 - 2020-11-12194Rampage3Admirals8LBoxScore
38 - 2020-11-15206Rampage1Senators4LBoxScore
40 - 2020-11-17216Rampage6Comets2WR1BoxScore
42 - 2020-11-19225Admirals7Rampage5LBoxScore
44 - 2020-11-21242Rampage4Penguins5LXXBoxScore
46 - 2020-11-23250Rocket2Rampage3WBoxScore
48 - 2020-11-25260Rampage5Griffins6LXXBoxScore
50 - 2020-11-27271Rampage7Condors4WBoxScore
52 - 2020-11-29281Rampage4Rocket5LXXBoxScore
53 - 2020-11-30285Senators7Rampage8WXBoxScore
56 - 2020-12-03300Rampage5Punishers6LBoxScore
58 - 2020-12-05311Monsters3Rampage4WXXBoxScore
61 - 2020-12-08327Rampage5Heat6LR1BoxScore
63 - 2020-12-10334Influenza2Rampage3WBoxScore
65 - 2020-12-12350Rampage8Senators3WBoxScore
68 - 2020-12-15364Griffins6Rampage1LBoxScore
70 - 2020-12-17374Rampage9Devils3WBoxScore
73 - 2020-12-20388Senators6Rampage3LBoxScore
77 - 2020-12-24410Thunderbirds2Rampage4WBoxScore
79 - 2020-12-26421Rampage2Little Stars9LBoxScore
82 - 2020-12-29435Checkers3Rampage6WBoxScore
85 - 2021-01-01454Bears0Rampage5WBoxScore
88 - 2021-01-04467Rampage3Sound Tigers4LXXBoxScore
91 - 2021-01-07483Crunch5Rampage4LBoxScore
93 - 2021-01-09490Rampage4Barracuda10LBoxScore
95 - 2021-01-11505Rampage3Punishers5LBoxScore
97 - 2021-01-13514Heat6Rampage7WXR1BoxScore
99 - 2021-01-15522Rampage3IceHogs2WXXBoxScore
101 - 2021-01-17527Rampage4Influenza2WBoxScore
104 - 2021-01-20542Little Stars5Rampage4LBoxScore
108 - 2021-01-24560Rampage4Phantoms2WBoxScore
109 - 2021-01-25567Punishers5Rampage2LBoxScore
111 - 2021-01-27582Rampage6Moose4WBoxScore
114 - 2021-01-30594Sound Tigers4Rampage5WBoxScore
116 - 2021-02-01609Rampage2Penguins6LBoxScore
119 - 2021-02-04620Phantoms5Rampage6WBoxScore
122 - 2021-02-07640Monsters3Rampage4WXBoxScore
124 - 2021-02-09646Rampage8Monsters3WBoxScore
126 - 2021-02-11662Rampage5Wolfpack1WBoxScore
128 - 2021-02-13671Moose2Rampage4WBoxScore
130 - 2021-02-15678Rampage4Devils3WXXBoxScore
132 - 2021-02-17691Rampage6Checkers7LBoxScore
134 - 2021-02-19699Penguins2Rampage5WBoxScore
137 - 2021-02-22720Rampage6Monsters1WBoxScore
139 - 2021-02-24725Checkers3Rampage7WBoxScore
141 - 2021-02-26739Rampage5Wolfpack4WXXBoxScore
144 - 2021-03-01751Rampage4Bears1WBoxScore
145 - 2021-03-02754Wolfpack2Rampage7WBoxScore
148 - 2021-03-05769Rampage6Checkers5WBoxScore
150 - 2021-03-07779Devils5Rampage3LBoxScore
152 - 2021-03-09791Rampage4Reign5LBoxScore
156 - 2021-03-13805Devils2Rampage5WBoxScore
159 - 2021-03-16821Rampage5Eagles8LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2021-03-18831Little Stars2Rampage5WBoxScore
166 - 2021-03-23857Comets3Rampage4WR1BoxScore
168 - 2021-03-25869Rampage4Admirals6LBoxScore
171 - 2021-03-28882Eagles3Rampage7WBoxScore
176 - 2021-04-02908IceHogs3Rampage7WBoxScore
177 - 2021-04-03914Rampage3Crunch8LBoxScore
181 - 2021-04-07932Crunch5Rampage7WBoxScore
184 - 2021-04-10942Rampage3Crunch4LXBoxScore
187 - 2021-04-13959Barracuda6Rampage3LBoxScore
191 - 2021-04-17981IceHogs3Rampage2LBoxScore
195 - 2021-04-211004Condors2Rampage6WBoxScore
198 - 2021-04-241016Rampage2Thunderbirds6LBoxScore
202 - 2021-04-281032Reign2Rampage3WXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance54,36727,704
Attendance PCT67.96%69.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2052 - 68.39% 71,630$2,865,198$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,379,773$ 1,809,500$ 1,659,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,827$ 1,869,173$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,266$ 0$




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