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Rocket

GP: 54 | W: 28 | L: 18 | OTL: 8 | P: 64
GF: 197 | GA: 173 | PP%: 18.11% | PK%: 81.82%
DG: Mathieu Girard | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #804 vs Barracuda
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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
1Colin WhiteX100.005842807371818471827466627365630506602264,750,000$
2Henrik BorgstromX100.006443866483807766736159636665620506302211,491,666$
3Jason RobertsonX100.00664690668579746356616164636162050630203894,167$
4Rasmus AsplundXX100.00583982667081786372646165636566032630212925,000$
5Riley TufteX100.00845585589985875652555362586362052620213995,833$
6Kieffer BellowsX100.006350846176838059525760586163650506102121,106,666$
7Taro HiroseX100.005639876465757163586459576367640506102311,350,000$
8Vitaly AbramovXX100.00564389636675746254606158656362040610212880,000$
9Alexander Chmelevski (R)X100.00554587607179785963615856596163050600203927,500$
10Matthew PhillipsX100.00533987615783786258605957626361050600212750,000$
11Shane GersichX100.00554986587087895653545557566764050590231700,000$
12Adam BoqvistX100.006339887069767268306661595261620506401931,744,167$
13Kyle WoodX100.00865584599988875830575462466764050630231700,000$
14Sami NikuX100.00584288667375696430655863546764050630221916,666$
15Cal FooteX100.007655865991899258305755604663620506202021,425,000$
16Kyle CapobiancoX100.00614784647779736230635961556562050620221894,166$
17Louie BelpedioX100.00594984617281806230605963556764050620231700,000$
Rayé
1Pavel ShenX100.00584189567476755560535457566162050580203925,000$
2David QuennevilleX100.00534187566673725430555253456362050570212925,000$
MOYENNE D'ÉQUIPE100.0062458662758078615060586058646304962
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
1Cayden Primeau100.0077828083767577767577766165050660
2Alex Nedeljkovic100.0076706872757476757476756771050650
Rayé
1Artyom Zagidulin100.0072797776717072717072716973050640
MOYENNE D'ÉQUIPE100.007577757774737574737574667005065
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Colin WhiteRocket (MTL)C512443672114091230255721669.41%18118423.231673110600071202359.45%161300011.1317000472
2Henrik BorgstromRocket (MTL)C5427325911280911472455519311.02%1297117.9834726741015575056.80%119900011.2217000416
3Jason RobertsonRocket (MTL)LW5423295228180132701765514813.07%19117021.682352911300061134053.06%9800120.8907000703
4Matthew PhillipsRocket (MTL)RW541920399603361196491419.69%798618.2723524113000001156.16%7300000.7900000111
5Adam BoqvistRocket (MTL)D387303714320715858163512.07%3888623.332463184000183100.00%000100.8300000041
6Kyle WoodRocket (MTL)D54928371910420203559632809.38%75113821.09257411050002106110.00%000000.6500031143
7Sami NikuRocket (MTL)D54530351515568669225645.43%79121622.53044361120000122110.00%000000.5800001013
8Kyle CapobiancoRocket (MTL)D54529341410043816912427.25%7796017.79112927000023010.00%000000.7100000201
9Louie BelpedioRocket (MTL)D5482432020386379365610.13%84107919.9924626720000122020.00%000000.5900000021
10Kieffer BellowsRocket (MTL)LW54131730-126086481232310810.57%1094017.42123521000033045.35%8600000.6400000032
11Riley TufteRocket (MTL)LW37101525163951374410432709.62%871519.3324623630113543039.22%5100000.7004001141
12Vitaly AbramovRocket (MTL)LW/RW381411253080184397195414.43%166217.433252180000003051.22%4100000.7503000131
13Alexander ChmelevskiRocket (MTL)C541011218195369611038719.09%786716.07000010000381151.85%78300100.4800001210
14Taro HiroseRocket (MTL)LW54101020-81604062124361188.06%1170313.03000010001432059.62%5200000.5700000021
15Cal FooteRocket (MTL)D54315186375146394217307.14%6798718.28011736000174010.00%000000.3600100000
16Rasmus AsplundRocket (MTL)C/LW1569157608517622577.89%530720.5021314260002371057.18%41800000.9812000104
17Madison BoweyCanadiensD42356207584825.00%69924.770002800006010.00%000001.0100000010
18Shane GersichRocket (MTL)LW51235-3751661341115.38%43276.42000000000250020.69%2900000.3100010000
19Pavel ShenRocket (MTL)C13101-7003841425.00%0604.6300000000000054.76%8400000.3300000000
Stats d'équipe Total ou en Moyenne84119835955718538945126712331967548145610.07%5281526518.152344673251052112281032281256.13%452700340.73330144243430
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
1Cayden PrimeauRocket (MTL)54281770.9093.0331876416117760020.66727540602
2Alex NedeljkovicRocket (MTL)30110.9412.0588003510000.8005054000
Stats d'équipe Total ou en Moyenne57281880.9103.0032766416418270020.687325454602


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 Cap 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
Adam BoqvistRocket (MTL)D192000-08-15No179 Lbs5 ft11NoNoNo3Pro & Farm1,744,167$0$0$No1,744,167$1,744,167$Lien
Alex NedeljkovicRocket (MTL)G231996-01-07No189 Lbs6 ft0NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien / Lien NHL
Alexander ChmelevskiRocket (MTL)C201999-06-09Yes180 Lbs6 ft0NoNoNo3Pro & Farm927,500$0$0$No927,500$927,500$
Artyom ZagidulinRocket (MTL)G241995-08-08No180 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien
Cal FooteRocket (MTL)D201998-12-13No221 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$0$0$No1,425,000$Lien / Lien NHL
Cayden PrimeauRocket (MTL)G201999-08-11No198 Lbs6 ft3NoNoNo3Pro & Farm966,666$0$0$No966,666$966,666$Lien
Colin WhiteRocket (MTL)C221997-01-30No191 Lbs5 ft11NoNoNo6Pro & Farm4,750,000$0$0$No4,750,000$4,750,000$4,750,000$4,750,000$4,750,000$Lien / Lien NHL
David QuennevilleRocket (MTL)D211998-03-13No189 Lbs5 ft8NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Henrik BorgstromRocket (MTL)C221997-08-06No199 Lbs6 ft3NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Jason RobertsonRocket (MTL)LW201999-07-22No210 Lbs6 ft3NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Kieffer BellowsRocket (MTL)LW211998-06-10No195 Lbs6 ft1NoNoNo2Pro & Farm1,106,666$0$0$No1,106,666$Lien / Lien NHL
Kyle CapobiancoRocket (MTL)D221997-08-13No196 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Kyle WoodRocket (MTL)D231996-05-04No235 Lbs6 ft7NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Louie BelpedioRocket (MTL)D231996-05-14No196 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matthew PhillipsRocket (MTL)RW211998-04-06No140 Lbs5 ft7NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Pavel ShenRocket (MTL)C201999-08-14No183 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Rasmus AsplundRocket (MTL)C/LW211997-12-03No190 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Riley TufteRocket (MTL)LW211998-04-10No235 Lbs6 ft6NoNoNo3Pro & Farm995,833$0$0$No995,833$995,833$Lien
Sami NikuRocket (MTL)D221996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm916,666$0$0$NoLien / Lien NHL
Shane GersichRocket (MTL)LW231996-07-10No180 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Taro HiroseRocket (MTL)LW231996-06-30No162 Lbs5 ft10NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Vitaly AbramovRocket (MTL)LW/RW211998-05-08No180 Lbs5 ft10NoNoNo2Pro & Farm880,000$0$0$No880,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2221.45191 Lbs6 ft12.091,165,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason RobertsonColin WhiteVitaly Abramov30122
2Riley TufteRasmus AsplundMatthew Phillips30122
3Taro HiroseHenrik BorgstromKieffer Bellows25122
4Kieffer BellowsAlexander ChmelevskiColin White15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku30122
2Kyle WoodCal Foote30122
3Louie BelpedioKyle Capobianco25122
4Adam BoqvistSami Niku15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jason RobertsonColin WhiteVitaly Abramov60122
2Riley TufteRasmus AsplundMatthew Phillips40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteJason Robertson60122
2Rasmus AsplundHenrik Borgstrom40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin White60122Adam BoqvistSami Niku60122
2Jason Robertson40122Kyle WoodCal Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteJason Robertson60122
2Rasmus AsplundHenrik Borgstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistSami Niku60122
2Kyle WoodCal Foote40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonColin WhiteVitaly AbramovAdam BoqvistSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason RobertsonColin WhiteVitaly AbramovAdam BoqvistSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shane Gersich, Taro Hirose, Alexander ChmelevskiShane Gersich, Taro HiroseAlexander Chmelevski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Louie Belpedio, Kyle Capobianco, Kyle WoodLouie BelpedioKyle Capobianco, Kyle Wood
Tirs de Pénalité
Colin White, Jason Robertson, Rasmus Asplund, Henrik Borgstrom, Riley Tufte
Gardien
#1 : Cayden Primeau, #2 : Alex Nedeljkovic


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
1Admirals11000000422110000004220000000000021.000471100805263540639631674573013834200.00%40100.00%11068192955.37%1031193153.39%48787855.47%13819861212379688350
2Americans20200000710-320200000710-30000000000000.00071320108052635556396316745767251052300.00%5180.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
3Barracuda11000000532000000000001100000053221.000581300805263526639631674574113216400.00%110.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
4Bears31200000111012020000069-31100000051420.33311213200805263513863963167457952824745120.00%11372.73%01068192955.37%1031193153.39%48787855.47%13819861212379688350
5Checkers302000011013-31000000156-12020000057-210.16710182800805263510063963167457105323152400.00%11463.64%01068192955.37%1031193153.39%48787855.47%13819861212379688350
6Condors1100000011291100000011290000000000021.0001119300080526358863963167457186021000.00%000.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
7Crunch2200000010640000000000022000000106441.000101929008052635766396316745770194465120.00%20100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
8Devils3300000017891100000043122000000135861.000173148008052635100639631674571224614716233.33%6183.33%01068192955.37%1031193153.39%48787855.47%13819861212379688350
9Eagles11000000541110000005410000000000021.0005101500805263567639631674572846256233.33%30100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
10Griffins11000000541000000000001100000054121.0005101500805263535639631674574794243133.33%2150.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
11Gulls21000001440110000002111000000123-130.75048120080526357163963167457741312378112.50%6183.33%01068192955.37%1031193153.39%48787855.47%13819861212379688350
12Heat21000100871110000006421000010023-130.750815230080526357863963167457782814584250.00%5180.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
13IceHogs10001000431000000000001000100043121.00045900805263531639631674573081123200.00%30100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
14Marlies32000001963210000016511100000031250.833917260080526351006396316745790233971300.00%11190.91%01068192955.37%1031193153.39%48787855.47%13819861212379688350
15Monsters2000000257-2000000000002000000257-220.50059140080526357563963167457631827468225.00%50100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
16Moose1010000025-3000000000001010000025-300.000246008052635206396316745746141024100.00%5180.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
17Penguins33000000197121100000060622000000137661.000193756018052635130639631674571023732686350.00%16193.75%01068192955.37%1031193153.39%48787855.47%13819861212379688350
18Phantoms22000000725220000007250000000000041.000712190180526356163963167457802714558225.00%7185.71%01068192955.37%1031193153.39%48787855.47%13819861212379688350
19Rampage2110000035-21010000015-41100000020220.5003470180526355663963167457872510534125.00%5180.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
20Reign2010100047-3100010003211010000015-420.5004711008052635576396316745757181238700.00%6266.67%01068192955.37%1031193153.39%48787855.47%13819861212379688350
21Roadrunners2010000179-21010000023-11000000156-110.25071421008052635706396316745759152954600.00%5340.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
22Senators31100001911-22010000169-31100000032130.5009162510805263598639631674578611267010110.00%6183.33%01068192955.37%1031193153.39%48787855.47%13819861212379688350
23Sound Tigers20200000411-70000000000020200000411-700.00046100080526355463963167457831916382150.00%8187.50%01068192955.37%1031193153.39%48787855.47%13819861212379688350
24Thunderbirds43100000161062200000010282110000068-260.750162743018052635161639631674571213022964125.00%11281.82%01068192955.37%1031193153.39%48787855.47%13819861212379688350
Total542618021071971732425129010039477172914901104103967640.593197358555248052635196863963167457182953339712701272318.11%1542881.82%11068192955.37%1031193153.39%48787855.47%13819861212379688350
25Wild1010000003-3000000000001010000003-300.0000000080526352863963167457238424400.00%20100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
26Wolf Pack1010000025-31010000025-30000000000000.00024600805263546639631674574710435200.00%20100.00%01068192955.37%1031193153.39%48787855.47%13819861212379688350
27Wolves312000009901010000013-22110000086220.33391726008052635107639631674578034126510220.00%6183.33%01068192955.37%1031193153.39%48787855.47%13819861212379688350
_Since Last GM Reset542618021071971732425129010039477172914901104103967640.593197358555248052635196863963167457182953339712701272318.11%1542881.82%11068192955.37%1031193153.39%48787855.47%13819861212379688350
_Vs Conference311711000031219922167600003595181510500000624814370.5971212213422380526351119639631674571068307236728581220.69%961683.33%01068192955.37%1031193153.39%48787855.47%13819861212379688350
_Vs Division1583000025647982300002292637600000027216180.600561021582180526355256396316745748111710535928414.29%37683.78%01068192955.37%1031193153.39%48787855.47%13819861212379688350

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5464W119735855519681829533397127024
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5426182107197173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2512910039477
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29149110410396
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1272318.11%1542881.82%1
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
639631674578052635
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
1068192955.37%1031193153.39%48787855.47%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13819861212379688350


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
2 - 2020-10-0611Rocket5Thunderbirds3WSommaire du Match
4 - 2020-10-0826Reign2Rocket3WXSommaire du Match
5 - 2020-10-0935Rocket1Checkers2LSommaire du Match
7 - 2020-10-1152Rocket4Crunch2WSommaire du Match
9 - 2020-10-1359Thunderbirds0Rocket4WSommaire du Match
12 - 2020-10-1684Senators3Rocket1LSommaire du Match
14 - 2020-10-1895Rocket5Devils2WSommaire du Match
16 - 2020-10-20112Bears4Rocket3LSommaire du Match
18 - 2020-10-22132Phantoms2Rocket6WSommaire du Match
21 - 2020-10-25149Rocket3Monsters4LXXSommaire du Match
23 - 2020-10-27167Wolf Pack5Rocket2LSommaire du Match
25 - 2020-10-29177Rocket4Penguins2WSommaire du Match
27 - 2020-10-31192Rocket3Sound Tigers4LSommaire du Match
29 - 2020-11-02207Rocket2Rampage0WSommaire du Match
30 - 2020-11-03214Marlies4Rocket3LXXSommaire du Match
32 - 2020-11-05232Rocket4Wolves1WSommaire du Match
34 - 2020-11-07245Penguins0Rocket6WSommaire du Match
37 - 2020-11-10266Rocket9Penguins5WSommaire du Match
39 - 2020-11-12276Rocket2Gulls3LXXSommaire du Match
40 - 2020-11-13282Thunderbirds2Rocket6WSommaire du Match
42 - 2020-11-15306Heat4Rocket6WSommaire du Match
45 - 2020-11-18326Rocket4Checkers5LSommaire du Match
46 - 2020-11-19334Americans5Rocket4LSommaire du Match
49 - 2020-11-22355Rocket2Monsters3LXXSommaire du Match
50 - 2020-11-23366Checkers6Rocket5LXXSommaire du Match
53 - 2020-11-26383Rocket2Heat3LXSommaire du Match
55 - 2020-11-28398Wolves3Rocket1LSommaire du Match
57 - 2020-11-30412Rocket1Sound Tigers7LSommaire du Match
58 - 2020-12-01427Rocket3Senators2WSommaire du Match
60 - 2020-12-03439Devils3Rocket4WSommaire du Match
63 - 2020-12-06459Condors2Rocket11WSommaire du Match
65 - 2020-12-08474Rocket5Bears1WSommaire du Match
67 - 2020-12-10488Eagles4Rocket5WSommaire du Match
69 - 2020-12-12502Rocket4IceHogs3WXSommaire du Match
71 - 2020-12-14515Rocket5Roadrunners6LXXSommaire du Match
72 - 2020-12-15526Gulls1Rocket2WSommaire du Match
75 - 2020-12-18549Rocket6Crunch4WSommaire du Match
76 - 2020-12-19555Americans5Rocket3LSommaire du Match
79 - 2020-12-22576Rocket1Reign5LSommaire du Match
80 - 2020-12-23585Phantoms0Rocket1WSommaire du Match
83 - 2020-12-26603Rocket2Moose5LSommaire du Match
85 - 2020-12-28617Roadrunners3Rocket2LSommaire du Match
87 - 2020-12-30629Rocket1Thunderbirds5LSommaire du Match
88 - 2020-12-31645Bears5Rocket3LSommaire du Match
91 - 2021-01-03664Rocket4Wolves5LSommaire du Match
93 - 2021-01-05679Marlies1Rocket3WSommaire du Match
95 - 2021-01-07693Rocket3Marlies1WSommaire du Match
97 - 2021-01-09702Rocket5Barracuda3WSommaire du Match
98 - 2021-01-10713Rampage5Rocket1LSommaire du Match
100 - 2021-01-12729Rocket8Devils3WSommaire du Match
102 - 2021-01-14743Admirals2Rocket4WSommaire du Match
105 - 2021-01-17767Rocket0Wild3LSommaire du Match
107 - 2021-01-19775Senators6Rocket5LXXSommaire du Match
110 - 2021-01-22799Rocket5Griffins4WSommaire du Match
111 - 2021-01-23804Barracuda-Rocket-
113 - 2021-01-25820Rocket-Stars-
115 - 2021-01-27834Sound Tigers-Rocket-
118 - 2021-01-30849Rocket-Rampage-
120 - 2021-02-01868Stars-Rocket-
125 - 2021-02-06894Rocket-Griffins-
126 - 2021-02-07899Monsters-Rocket-
129 - 2021-02-10923Griffins-Rocket-
130 - 2021-02-11936Rocket-Phantoms-
134 - 2021-02-15959Moose-Rocket-
137 - 2021-02-18982Rocket-Americans-
138 - 2021-02-19990Comets-Rocket-
141 - 2021-02-221014Wolf Pack-Rocket-
142 - 2021-02-231026Rocket-Admirals-
146 - 2021-02-271046Rocket-Wolf Pack-
147 - 2021-02-281054Crunch-Rocket-
150 - 2021-03-031077Wild-Rocket-
151 - 2021-03-041086Rocket-Condors-
154 - 2021-03-071109IceHogs-Rocket-
156 - 2021-03-091125Rocket-Bruins-
158 - 2021-03-111139Condors-Rocket-
159 - 2021-03-121150Rocket-Eagles-
161 - 2021-03-141158Rocket-Bruins-
163 - 2021-03-161174Bruins-Rocket-
169 - 2021-03-221206Rocket-Comets-
170 - 2021-03-231213Reign-Rocket-
174 - 2021-03-271239Reign-Rocket-
179 - 2021-04-011259Penguins-Rocket-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,476,554$ 2,563,002$ 1,148,335$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,476,554$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 14,082$ 1,013,904$




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
Saison Régulière
28230400243329027911411918002111441242041112202222146155-960290493783141358664929851003953100343253468260912763537320.68%2434780.66%41624286056.78%1266238753.04%779132958.62%2036144818875941036517
38244240043726019367412114002131279829412310002241339538882604457052510680714312310061018106765221766095415403225617.39%3736183.65%61881304761.73%1467253457.89%776127061.10%2196155917385781045546
482283800493199234-354112210034199119-2041161700152100115-1556199327526127470461421206956707386326167171266175456612321.73%4909580.61%11247272545.76%1105297737.12%481118640.56%2054142019336141001504
58266501253158390-232414310013281185-104412340112177205-1281215826442200635138102072665683702514019118525516881965528.06%1023466.67%3625212429.43%821312526.27%332129625.62%14469982586587938403
68227600202163625-462411370020194310-216411390000169315-2464163306469006845500243083075682227639618732061997133139.77%882472.73%0659214330.75%990371226.67%408149427.31%10887132962581884338
7823531081162732284541221504000142100424113160411613112837027350778024104907011322510741034107566265577450619812355925.11%2314082.68%31923327358.75%1522285453.33%699128254.52%2187157717505611040544
8824525021453632301334121140112217411856412411010231891127790363663102607151122849373112511229122856276478348220501713621.05%1983681.82%61659315252.63%1329279347.58%702137251.17%229217221698514983515
8824525021453632301334121140112217411856412411010231891127790363663102607151122849373112511229122856276478348220501713621.05%1983681.82%61659315252.63%1329279347.58%702137251.17%229217221698514983515
954261802107197173242512901003947717291490110410396764197358555248052635196863963167457182953339712701272318.11%1542881.82%11068192955.37%1031193153.39%48787855.47%13819861212379688350
Total Saison Régulière71026134201720294122662582-3163531331730712131511291249-1203571281690108162611371333-1965342266402662928339327185707125385841482038537484277947990515715606227447420.84%207740180.69%30123452440550.58%108602510643.26%53661147946.75%169761215017467492586004235
Séries
2404000001021-1120200000511-620200000510-5010192900262010522473511183540588337.50%9188.89%05510154.46%4810944.04%327841.03%8358104305324
3514000001018-831200000712-52020000036-321019290053201324558290160524610723313.04%22768.18%06917539.43%7817943.58%277934.18%10870126396531
7514000001722-5312000001010020200000712-521728451074601756054583196622613713215.38%11463.64%07916149.07%8819445.36%368243.90%12084118356433
8201370000073621110910000038271110460000035350267313320600302318275421622825753742182133470651624.62%571770.18%144179155.75%38075750.20%16933350.75%533378478151264134
Total Séries34151900000110123-1318117000006060016412000005063-133011019930910443628211663433873795712163312457721092422.02%992970.71%1644122852.44%594123947.94%26457246.15%845591826257448223