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Rocket

GP: 1 | W: 0 | L: 1
GF: 2 | GA: 4 | PP%: 0.00% | PK%: 50.00%
DG: Mathieu Girard | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #12 vs Marlies
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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
1Henrik BorgstromX100.00593694678175726573636458666362046640
2Ty RattieX100.00643593677169636651656463627167050640
3Luke KuninXX100.00754581647381726372626168626364047640
4Victor EjdsellX100.00763690599294885861565463586764050620
5Pierre EngvallXX100.00673983588593915659545759576563050610
6Taro Hirose (R)X100.00533594636579586253645860596563050610
7Rasmus AsplundX100.00523690596094955868605457566362050600
8Vitaly AbramovXX100.00563692626485716155586054636163050600
9Kieffer BellowsXX100.00624275587694935658525354586263050590
10Matthew PhillipsXX100.00503595595792895865595451566163050590
11Kyle WoodX100.00863885589893915630605263466563050630
12Cal Foote (R)X100.00763885609195965930565364526163051620
13Sami NikuX100.00563789647377716330685861486563050620
14Kyle CapobiancoX100.00573886627783646130605658526362050600
15Anthony BitettoX100.00793881587971525730595256467769050600
16Louie BelpedioX100.00553690597284715830555457466563050590
17Trevor MurphyX100.00514078586692895730585356486764050590
18Dysin MayoX100.00623885547693905330525154486563050580
Rayé
1Shane GersichXX100.00523982576793905663555254516563050580
MOYENNE D'ÉQUIPE100.0063388760758679594859565854656405061
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
1Alex Nedeljkovic100.0080706872797880797880796569050670
2Thatcher Demko100.0077787685767577767577766771050660
Rayé
MOYENNE D'ÉQUIPE100.007974727978777978777978667005067
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
1Victor EjdsellRocket (MTL)RW11122001041325.00%02020.250000200000000.00%000001.9800000010
2Luke KuninRocket (MTL)C/RW1011200214010.00%02020.6000002000000054.55%2200000.9700000000
3Trevor MurphyRocket (MTL)D11011001030033.33%088.330000000000000.00%000002.4000000000
4Pierre EngvallRocket (MTL)LW/RW1011200010140.00%02020.800000200000000.00%000000.9600000000
5Cal FooteRocket (MTL)D1000120300220.00%11919.050000200000000.00%000000.0000000000
6Dysin MayoRocket (MTL)D1000100000000.00%188.330000000000000.00%000000.0000000000
7Henrik BorgstromRocket (MTL)C1000-120326220.00%02020.0500011000000063.64%1100000.0000000000
8Ty RattieRocket (MTL)RW1000-100013060.00%22121.5000011000020030.00%1000000.0000000000
9Kyle CapobiancoRocket (MTL)D1000100101010.00%01919.000000200001000.00%000000.0000000000
10Louie BelpedioRocket (MTL)D1000-300001200.00%01414.070000000000000.00%000000.0000000000
11Kieffer BellowsRocket (MTL)C/LW1000000001100.00%077.9300000000010033.33%300000.0000000000
12Kyle WoodRocket (MTL)D1000000600000.00%21919.470000100001000.00%000000.0000000000
13Sami NikuRocket (MTL)D1000000011000.00%01919.470000100001000.00%000000.0000000000
14Matthew PhillipsRocket (MTL)C/RW1000-200100030.00%01616.770000000000000.00%300000.0000000000
15Rasmus AsplundRocket (MTL)C1000-200101020.00%01616.7700000000000066.67%1200000.0000000000
16Taro HiroseRocket (MTL)LW1000-100004140.00%01414.7300011000000050.00%200000.0000000000
17Vitaly AbramovRocket (MTL)LW/RW1000-200233150.00%01616.7700000000000050.00%200000.0000000000
18Anthony BitettoRocket (MTL)D1000-300100000.00%11313.200000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne18235-5402293211336.25%729716.500003190000110050.77%6500000.3400000010
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
1Alex NedeljkovicRocket (MTL)10100.8404.0060004250000.000010000
Stats d'équipe Total ou en Moyenne10100.8404.0060004250000.000010000


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
Alex NedeljkovicRocket (MTL)G221996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Anthony BitettoRocket (MTL)D281990-07-15No210 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cal FooteRocket (MTL)D191998-12-13Yes221 Lbs6 ft4NoNoNo3Pro & Farm1,425,000$0$0$No1,425,000$1,425,000$Lien / Lien NHL
Dysin MayoRocket (MTL)D221996-08-17No194 Lbs6 ft1NoNoNo1Pro & Farm798,333$0$0$NoLien / Lien NHL
Henrik BorgstromRocket (MTL)C211997-08-06No190 Lbs6 ft3NoNoNo2Pro & Farm1,491,666$0$0$No1,491,666$Lien / Lien NHL
Kieffer BellowsRocket (MTL)C/LW201998-06-10No195 Lbs6 ft1NoNoNo3Pro & Farm1,106,666$0$0$No1,106,666$1,106,666$Lien / Lien NHL
Kyle CapobiancoRocket (MTL)D211997-08-13No196 Lbs6 ft1NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Kyle WoodRocket (MTL)D221996-05-04No235 Lbs6 ft7NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Louie BelpedioRocket (MTL)D221996-05-14No196 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Luke KuninRocket (MTL)C/RW201997-12-04No195 Lbs6 ft0NoNoNo2Pro & Farm1,425,000$0$0$No1,425,000$Lien / Lien NHL
Matthew PhillipsRocket (MTL)C/RW201998-04-06No140 Lbs5 ft7NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Pierre EngvallRocket (MTL)LW/RW221996-05-31No191 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Rasmus AsplundRocket (MTL)C201997-12-03No191 Lbs5 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Sami NikuRocket (MTL)D211996-10-10No176 Lbs6 ft1NoNoNo2Pro & Farm916,666$0$0$No916,666$Lien / Lien NHL
Shane GersichRocket (MTL)C/LW221996-07-10No175 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Taro HiroseRocket (MTL)LW221996-06-30Yes160 Lbs5 ft10NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien / Lien NHL
Thatcher DemkoRocket (MTL)G221995-12-08No192 Lbs6 ft4NoNoNo1Pro & Farm2,941,667$0$0$NoLien / Lien NHL
Trevor MurphyRocket (MTL)D231995-07-17No180 Lbs5 ft10NoNoNo1Pro & Farm715,000$0$0$NoLien / Lien NHL
Ty RattieRocket (MTL)RW251993-02-05No183 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Victor EjdsellRocket (MTL)RW231995-06-06No214 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Vitaly AbramovRocket (MTL)LW/RW201998-05-08No171 Lbs5 ft9NoNoNo3Pro & Farm880,000$0$0$No880,000$880,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2121.76190 Lbs6 ft01.761,075,635$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taro HiroseHenrik BorgstromTy Rattie30122
2Pierre EngvallLuke KuninVictor Ejdsell30122
3Vitaly AbramovRasmus AsplundMatthew Phillips25122
4Ty RattieKieffer BellowsHenrik Borgstrom15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku30122
2Cal FooteKyle Capobianco30122
3Anthony BitettoLouie Belpedio25122
4Trevor MurphyDysin Mayo15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taro HiroseHenrik BorgstromTy Rattie60122
2Pierre EngvallLuke KuninVictor Ejdsell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ty RattieHenrik Borgstrom60122
2Luke KuninVictor Ejdsell40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ty Rattie60122Kyle WoodSami Niku60122
2Henrik Borgstrom40122Cal FooteKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ty RattieHenrik Borgstrom60122
2Luke KuninVictor Ejdsell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle WoodSami Niku60122
2Cal FooteKyle Capobianco40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taro HiroseHenrik BorgstromTy RattieKyle WoodSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taro HiroseHenrik BorgstromTy RattieKyle WoodSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vitaly Abramov, Rasmus Asplund, Kieffer BellowsVitaly Abramov, Rasmus AsplundKieffer Bellows
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Bitetto, Louie Belpedio, Trevor MurphyAnthony BitettoLouie Belpedio, Trevor Murphy
Tirs de Pénalité
Ty Rattie, Henrik Borgstrom, Luke Kunin, Victor Ejdsell, Taro Hirose
Gardien
#1 : Alex Nedeljkovic, #2 : Thatcher Demko


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
1Marlies1010000024-2000000000001010000024-200.00023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126
Total1010000024-2000000000001010000024-200.00023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126
_Since Last GM Reset1010000024-2000000000001010000024-200.00023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126
_Vs Conference1010000024-2000000000001010000024-200.00023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126
_Vs Division1010000024-2000000000001010000024-200.00023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
10L12353225742200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000024
Derniers 10 Matchs
WLOTWOTL SOWSOL
010000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
200.00%2150.00%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
8111301100
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
172665.38%82040.00%81942.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2620216126


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 - 2020-04-054Rocket2Marlies4LSommaire du Match
3 - 2020-04-0712Rocket-Marlies-
5 - 2020-04-0920Marlies-Rocket-
7 - 2020-04-1128Marlies-Rocket-
9 - 2020-04-1336Rocket-Marlies-
11 - 2020-04-1544Marlies-Rocket-
13 - 2020-04-1752Rocket-Marlies-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,258,835$ 2,258,835$ 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$ 12 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
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
Total Saison Régulière65623532401519293420692409-3403281211640612131210351172-137328114160097162210341237-2034702069366857376298526665076623417777575727863427259657457476014336214745121.01%192337380.60%29112772247650.17%98292317542.41%48791060146.02%155951116316255454679123885
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
81010000024-2000000000001010000024-2023500110032811130257422200.00%2150.00%0172665.38%82040.00%81942.11%2620216126
Total Séries15213000003965-26826000002233-11707000001732-1543969108101514100444135170135449915611632446817.39%441370.45%022046347.52%22250244.22%10325839.92%33823336911119694