Rampage
GP: 80 | W: 48 | L: 27 | OTL: 5 | P: 101
GF: 371 | GA: 327 | PP%: 24.49% | PK%: 78.37%
DG: Julie Coulombe | Morale : 62 | Moyenne d'Équipe : 61
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
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$
Rayé
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$
MOYENNE D'ÉQUIPE99.86623269646363656556636255584846534861
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien 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
Rayé
MOYENNE D'ÉQUIPE100.0062696267646266757267674644538066
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Wilson83816466557149USA562500,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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
Stats d'équipe Total ou en Moyenne154435960296117273430169816412630847141813.65%9002313514.9885139224256258081220502209411051.08%4877510514070.83829030444746
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP 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
Stats d'équipe Total ou en Moyenne94482750.8804.0048494132326911464600.774318080222


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 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$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2920.97198 Lbs6 ft11.62623,965$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Blake PietilaMartin HanzalAlexandre Grenier40122
2Lawson CrouseKyle RauMax Friberg30122
3Anton KarlssonCameron DarcyThomas Spelling20122
4Fredrik OlofssonMatthew HighmoreVictor Olofsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneDamon Severson40122
2Jeffrey FossJoe Morrow30122
3Anton Lindholm20122
4Michael StoneDamon Severson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Blake PietilaMartin HanzalAlexandre Grenier60122
2Lawson CrouseKyle RauMax Friberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin HanzalBlake Pietila60122
2Alexandre GrenierMax Friberg40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Martin Hanzal60122Michael StoneDamon Severson60122
2Blake Pietila40122Jeffrey FossJoe Morrow40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin HanzalBlake Pietila60122
2Alexandre GrenierMax Friberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneDamon Severson60122
2Jeffrey FossJoe Morrow40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake PietilaMartin HanzalAlexandre GrenierMichael StoneDamon Severson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake PietilaMartin HanzalAlexandre GrenierMichael StoneDamon Severson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cameron Darcy, Thomas Spelling, Victor OlofssonCameron Darcy, Thomas SpellingVictor Olofsson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anton Lindholm, , Jeffrey FossAnton Lindholm, Jeffrey Foss
Tirs de Pénalité
Martin Hanzal, Blake Pietila, Alexandre Grenier, Max Friberg, Kyle Rau
Gardien
#1 : Ebbe Siönäs, #2 : Laurent Brossoit


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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 Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
80101OTW137160697726912691915748175801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8038276144371327
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4022116010188145
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4016160134183182
Derniers 10 Matchs
WLOTWOTL SOWSOL
441100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3438424.49%3567778.37%8
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
8329548696810113812214
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
938178852.46%881177249.72%684134450.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
169392617007621461730


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-10-096Devils6Rampage3LSommaire du Match
5 - 2020-10-1330Senators4Rampage3LSommaire du Match
10 - 2020-10-1853Monsters3Rampage5WSommaire du Match
12 - 2020-10-2063Rampage8Punishers6WSommaire du Match
14 - 2020-10-2276Rampage3Monsters8LSommaire du Match
16 - 2020-10-2485Crunch4Rampage8WSommaire du Match
19 - 2020-10-27104Rampage3Senators4LSommaire du Match
20 - 2020-10-28110Eagles2Rampage5WSommaire du Match
21 - 2020-10-29113Rampage5Devils2WSommaire du Match
25 - 2020-11-02135Heat5Rampage6WXR1Sommaire du Match
27 - 2020-11-04144Rampage4Crunch1WSommaire du Match
29 - 2020-11-06157Rampage7Thunderbirds3WSommaire du Match
30 - 2020-11-07167Comets1Rampage4WR1Sommaire du Match
34 - 2020-11-11185Moose4Rampage5WXSommaire du Match
35 - 2020-11-12194Rampage3Admirals8LSommaire du Match
38 - 2020-11-15206Rampage1Senators4LSommaire du Match
40 - 2020-11-17216Rampage6Comets2WR1Sommaire du Match
42 - 2020-11-19225Admirals7Rampage5LSommaire du Match
44 - 2020-11-21242Rampage4Penguins5LXXSommaire du Match
46 - 2020-11-23250Rocket2Rampage3WSommaire du Match
48 - 2020-11-25260Rampage5Griffins6LXXSommaire du Match
50 - 2020-11-27271Rampage7Condors4WSommaire du Match
52 - 2020-11-29281Rampage4Rocket5LXXSommaire du Match
53 - 2020-11-30285Senators7Rampage8WXSommaire du Match
56 - 2020-12-03300Rampage5Punishers6LSommaire du Match
58 - 2020-12-05311Monsters3Rampage4WXXSommaire du Match
61 - 2020-12-08327Rampage5Heat6LR1Sommaire du Match
63 - 2020-12-10334Influenza2Rampage3WSommaire du Match
65 - 2020-12-12350Rampage8Senators3WSommaire du Match
68 - 2020-12-15364Griffins6Rampage1LSommaire du Match
70 - 2020-12-17374Rampage9Devils3WSommaire du Match
73 - 2020-12-20388Senators6Rampage3LSommaire du Match
77 - 2020-12-24410Thunderbirds2Rampage4WSommaire du Match
79 - 2020-12-26421Rampage2Little Stars9LSommaire du Match
82 - 2020-12-29435Checkers3Rampage6WSommaire du Match
85 - 2021-01-01454Bears0Rampage5WSommaire du Match
88 - 2021-01-04467Rampage3Sound Tigers4LXXSommaire du Match
91 - 2021-01-07483Crunch5Rampage4LSommaire du Match
93 - 2021-01-09490Rampage4Barracuda10LSommaire du Match
95 - 2021-01-11505Rampage3Punishers5LSommaire du Match
97 - 2021-01-13514Heat6Rampage7WXR1Sommaire du Match
99 - 2021-01-15522Rampage3IceHogs2WXXSommaire du Match
101 - 2021-01-17527Rampage4Influenza2WSommaire du Match
104 - 2021-01-20542Little Stars5Rampage4LSommaire du Match
108 - 2021-01-24560Rampage4Phantoms2WSommaire du Match
109 - 2021-01-25567Punishers5Rampage2LSommaire du Match
111 - 2021-01-27582Rampage6Moose4WSommaire du Match
114 - 2021-01-30594Sound Tigers4Rampage5WSommaire du Match
116 - 2021-02-01609Rampage2Penguins6LSommaire du Match
119 - 2021-02-04620Phantoms5Rampage6WSommaire du Match
122 - 2021-02-07640Monsters3Rampage4WXSommaire du Match
124 - 2021-02-09646Rampage8Monsters3WSommaire du Match
126 - 2021-02-11662Rampage5Wolfpack1WSommaire du Match
128 - 2021-02-13671Moose2Rampage4WSommaire du Match
130 - 2021-02-15678Rampage4Devils3WXXSommaire du Match
132 - 2021-02-17691Rampage6Checkers7LSommaire du Match
134 - 2021-02-19699Penguins2Rampage5WSommaire du Match
137 - 2021-02-22720Rampage6Monsters1WSommaire du Match
139 - 2021-02-24725Checkers3Rampage7WSommaire du Match
141 - 2021-02-26739Rampage5Wolfpack4WXXSommaire du Match
144 - 2021-03-01751Rampage4Bears1WSommaire du Match
145 - 2021-03-02754Wolfpack2Rampage7WSommaire du Match
148 - 2021-03-05769Rampage6Checkers5WSommaire du Match
150 - 2021-03-07779Devils5Rampage3LSommaire du Match
152 - 2021-03-09791Rampage4Reign5LSommaire du Match
156 - 2021-03-13805Devils2Rampage5WSommaire du Match
159 - 2021-03-16821Rampage5Eagles8LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
161 - 2021-03-18831Little Stars2Rampage5WSommaire du Match
166 - 2021-03-23857Comets3Rampage4WR1Sommaire du Match
168 - 2021-03-25869Rampage4Admirals6LSommaire du Match
171 - 2021-03-28882Eagles3Rampage7WSommaire du Match
176 - 2021-04-02908IceHogs3Rampage7WSommaire du Match
177 - 2021-04-03914Rampage3Crunch8LSommaire du Match
181 - 2021-04-07932Crunch5Rampage7WSommaire du Match
184 - 2021-04-10942Rampage3Crunch4LXSommaire du Match
187 - 2021-04-13959Barracuda6Rampage3LSommaire du Match
191 - 2021-04-17981IceHogs3Rampage2LSommaire du Match
195 - 2021-04-211004Condors2Rampage6WSommaire du Match
198 - 2021-04-241016Rampage2Thunderbirds6LSommaire du Match
202 - 2021-04-281032Reign2Rampage3WXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance54,36727,704
Assistance PCT67.96%69.26%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2052 - 68.39% 71,630$2,865,198$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,379,773$ 1,809,500$ 1,659,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,827$ 1,869,173$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,266$ 0$




LigueDomicileVisiteur
Année 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