Rocket

GP: 10 | W: 9 | L: 1 | OTL: 0 | P: 18
GF: 36 | GA: 17 | PP%: 10.71% | PK%: 92.68%
DG: Louis-Philippe Deshaies | Morale : 50 | Moyenne d'Équipe : N/A
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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 SP
1Antti SuomelaX100.00794393746454716072755766254848655000
2Jonah GadjovichX100.00767676667659605750456463614444625000
3Lias AnderssonXX100.00774491787054715762565581255151645000
4Lukas VejdemoXXX100.00777287647272775670505764544444615000
5Alexandre Texier (R)X100.00674290837163676442657060254747695000
6Ryan CarpenterXX100.00824587777367866074635686256061685000
7Sam CarrickXX100.00706876656876796780617063674646684600
8Marcus SorensenXX100.00714288796466905930636075256163675000
9Trevor LewisXX100.00774490747561675944606069257478645000
10Troy BrouwerXX100.00839384738354625744505867577984625000
11Will BittenXX100.00686087626069735771535659534444595000
12Austin CzarnikXXX100.00655880805865647180657066676263695000
13Sam AnasXX100.00665494665477797080746262594444675000
14Braydon CoburnX100.00804587728464746125474870808592605000
15Radim SimekX100.00844590667271635825514881255555625000
16Joel HanleyX100.00777093727072784925433964375354545000
17Lawrence PilutX100.00714290776169745625394780254848595000
18Otto Leskinen (R)X100.00646170746169745225494056384444535000
19Dakota MermisX100.00854487676777806525505075795555635000
Rayé
1Nick Henry (R)X100.00746985666969744950474660444444545000
2Brett LernoutX100.00808081648066734425313965375555525000
MOYENNE D'ÉQUIPE100.0075578671696673584954556844545562500
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
1Adam Wilcox100.0047556969434650534647304444485000
2Vitek Vanecek100.0063637968636564706565304444645000
Rayé
MOYENNE D'ÉQUIPE100.005559746953565762565630444456500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green81848082726777CAN5131,650,000$


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
1Trevor LewisRocket (MTL)C/RW10571281201381681731.25%018518.591234430000161157.69%2600001.2900000210
2Austin CzarnikRocket (MTL)C/LW/RW10651181010101729102020.69%021721.7211210430002341070.83%2400001.0111101111
3Marcus SorensenRocket (MTL)LW/RW1028103008161952010.53%319819.820224390000250158.33%1200001.0111000200
4Sam AnasRocket (MTL)C/RW101910520916273243.70%016416.450112120001101076.74%4300001.2200000201
5Ryan CarpenterRocket (MTL)C/RW1054972959292881817.86%018918.941122390001291065.37%23100000.9511001130
6Lias AnderssonRocket (MTL)C/LW10268510015251521413.33%216916.93000080000151059.68%12400000.9500000111
7Alexandre TexierRocket (MTL)C105273009212421420.83%016516.54112638000011049.34%15200000.8500000013
8Troy BrouwerRocket (MTL)LW/RW1025731002291151118.18%417017.00101337000040061.54%1300000.8200000001
9Antti SuomelaRocket (MTL)C1014536061442125.00%214914.9800000000000053.85%2600000.6700000000
10Lukas VejdemoRocket (MTL)C/LW/RW1032522096112327.27%012212.2700004000020066.67%600000.8100000020
11Braydon CoburnRocket (MTL)D10044375547260.00%721921.93022238000027000.00%000000.3601100000
12Joel HanleyRocket (MTL)D10044101201835310.00%721421.50022342000027000.00%000000.3700000000
13Jonah GadjovichRocket (MTL)LW10123310013333733.33%415015.090000000000100.00%100000.4000000001
14Radim SimekRocket (MTL)D100112801697140.00%722022.01000538000027000.00%000000.0900000000
15Will BittenRocket (MTL)C/RW10000000123480.00%1828.2100000000000050.00%200000.0000000000
16Otto LeskinenRocket (MTL)D6000020200100.00%5305.1100006000010000.00%000000.0000000000
17Nick HenryRocket (MTL)RW1000-100110010.00%055.0300000000000077.78%900000.0000000000
Stats d'équipe Total ou en Moyenne15733639664120201661832096116915.79%42265516.91512174139500042347260.69%66900000.7234202998
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
1Vitek VanecekRocket (MTL)109100.9011.6960501171720000.5004100010
Stats d'équipe Total ou en Moyenne109100.9011.6960501171720000.5004100010


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 RestantSalaire MoyenSalaire Moyen 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
Adam WilcoxRocket (MTL)G261994-04-25No187 Lbs6 ft0NoNoNo3Pro & Farm808,750$808,750$808,750$808,750$0$0$No808,750$808,750$Lien
Alexandre TexierRocket (MTL)C201999-09-13Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Antti SuomelaRocket (MTL)C261994-03-17No172 Lbs6 ft0NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$Lien
Austin CzarnikRocket (MTL)C/LW/RW271992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Braydon CoburnRocket (MTL)D351985-02-27No223 Lbs6 ft5NoNoNo1Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$0$0$NoLien
Brett LernoutRocket (MTL)D241995-09-23No213 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$Lien
Dakota MermisRocket (MTL)D261994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Joel HanleyRocket (MTL)D291991-06-08No193 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Lien
Jonah GadjovichRocket (MTL)LW211998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm863,333$863,333$450,000$450,000$0$0$No863,333$Lien
Lawrence PilutRocket (MTL)D241995-12-29No165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Lias AnderssonRocket (MTL)C/LW211998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm1,744,166$1,744,166$450,000$450,000$0$0$No1,744,166$Lien
Lukas VejdemoRocket (MTL)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Marcus SorensenRocket (MTL)LW/RW281992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Nick HenryRocket (MTL)RW201999-07-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm826,666$826,666$826,666$826,666$0$0$No826,666$826,666$
Otto LeskinenRocket (MTL)D231997-02-06Yes168 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Radim SimekRocket (MTL)D271992-09-20No205 Lbs5 ft10NoNoNo3Pro & Farm675,000$675,000$675,000$675,000$0$0$No675,000$675,000$Lien
Ryan CarpenterRocket (MTL)C/RW291991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Sam AnasRocket (MTL)C/RW271993-05-31No154 Lbs5 ft8NoNoNo3Pro & Farm675,000$675,000$675,000$675,000$0$0$No675,000$675,000$Lien
Sam CarrickRocket (MTL)C/RW281992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Trevor LewisRocket (MTL)C/RW331987-01-07No205 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$0$0$No2,000,000$Lien
Troy BrouwerRocket (MTL)LW/RW341985-08-17No215 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$3,000,000$3,000,000$3,000,000$0$0$NoLien
Vitek VanecekRocket (MTL)G241996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm863,333$863,333$450,000$450,000$0$0$No863,333$Lien
Will BittenRocket (MTL)C/RW211998-07-10No168 Lbs5 ft10NoNoNo2Pro & Farm910,000$910,000$450,000$450,000$0$0$No910,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.96189 Lbs6 ft01.911,137,663$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis35122
2Marcus SorensenAlexandre TexierTroy Brouwer30122
3Lukas VejdemoLias AnderssonSam Anas25122
4Jonah GadjovichAntti SuomelaWill Bitten10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnRadim Simek35122
2Joel Hanley30122
3Antti SuomelaJonah Gadjovich25122
4Braydon CoburnRadim Simek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikRyan CarpenterTrevor Lewis60122
2Marcus SorensenAlexandre TexierTroy Brouwer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnRadim Simek60122
2Joel Hanley40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnRadim Simek60122
2Joel Hanley40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Carpenter60122Braydon CoburnRadim Simek60122
2Austin Czarnik40122Joel Hanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterAustin Czarnik60122
2Trevor LewisMarcus Sorensen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnRadim Simek60122
2Joel Hanley40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnRadim Simek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikRyan CarpenterTrevor LewisBraydon CoburnRadim Simek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Austin Czarnik, Lias Andersson, Sam AnasSam Anas, Lias AnderssonLias Andersson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Hanley, Otto Leskinen, Braydon CoburnJoel HanleyRadim Simek, Otto Leskinen
Tirs de Pénalité
Ryan Carpenter, Austin Czarnik, Trevor Lewis, Marcus Sorensen, Alexandre Texier
Gardien
#1 : Vitek Vanecek, #2 : Adam Wilcox


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
1Bruins21001000945110000005141000100043141.00091726001381344679636862766221417.14%10100.00%016328756.79%15623566.38%8914959.73%2792012036812268
2Crunch22000000945110000005141100000043141.00091726001381344679636863611394415426.67%50100.00%016328756.79%15623566.38%8914959.73%2792012036812268
3Griffins21000010734110000004131000001032141.000711180013813425796368641102628800.00%130100.00%016328756.79%15623566.38%8914959.73%2792012036812268
4Marlies22000000835110000003031100000053241.00081523011381345179636862810234410110.00%9277.78%016328756.79%15623566.38%8914959.73%2792012036812268
5Senators21100000330110000003211010000001-120.5003580013813444796368640102634900.00%13192.31%016328756.79%15623566.38%8914959.73%2792012036812268
Total10710101036171955000000205155210101016124180.90036651010113813421279636861724712017256610.71%41392.68%016328756.79%15623566.38%8914959.73%2792012036812268
_Since Last GM Reset10710101036171955000000205155210101016124180.90036651010113813421279636861724712017256610.71%41392.68%016328756.79%15623566.38%8914959.73%2792012036812268
_Vs Conference8610100029141544000000164124210100013103140.875295483011381341877963686131379414448612.50%28389.29%016328756.79%15623566.38%8914959.73%2792012036812268
_Vs Division10610100036171954000000205155210100016124140.70036651010113813421279636861724712017256610.71%41392.68%016328756.79%15623566.38%8914959.73%2792012036812268

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1018W736651012121724712017201
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
107110103617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5500000205
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52110101612
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
56610.71%41392.68%0
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
7963686138134
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
16328756.79%15623566.38%8914959.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2792012036812268


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 - 2020-09-038Rocket4Crunch3WSommaire du Match
2 - 2020-09-0416Marlies0Rocket3WSommaire du Match
3 - 2020-09-0523Rocket0Senators1LSommaire du Match
5 - 2020-09-0738Crunch1Rocket5WSommaire du Match
7 - 2020-09-0951Senators2Rocket3WSommaire du Match
8 - 2020-09-1058Rocket5Marlies3WSommaire du Match
10 - 2020-09-1274Griffins1Rocket4WSommaire du Match
11 - 2020-09-1381Rocket4Bruins3WXSommaire du Match
12 - 2020-09-1493Bruins1Rocket5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15104Rocket3Griffins2WXXSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,616,625$ 2,311,042$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 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