hellpepitosKingspatriots

 

 


Hybrides

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Gagnon | Morale : 50 | Moyenne d'Équipe : 66
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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
1Matt Calvert0X100.00753954395966647146798172746671046720
2Lucas Wallmark0X100.00651159384568886986808166655435050710
3Conor Garland (R)0X100.00553065293458857760768455734245047700
4Dominik Simon0XXX100.00771064365460747238818159655434017690
5Tyson Jost0XXX100.00532467345161747254798254713845037690
6Ty Rattie0X100.00722476375254787137788154715749050680
7Sven Andrighetto0XXX100.00512465365254697135788151765845057680
8Brendan Gaunce0X100.00573073598057706038697771655359050660
9Juho Lammikko (R)0X100.00772369535850806175777865664642047660
10Kiefer Sherwood0X100.00802669425852856746768050663541047660
11Victor Olofsson (R)0X100.00291780524683835831667571684536047650
12Saku Maenalanen (R)0X100.00811546437644846636768035664735047650
13Ross Johnston0X100.00844731549437846232748050664164050650
14Taro Hirose (R)0X100.00282280552971825935687769683038047640
15Nathan Bastian (R)0X100.00533276587358735833657570683850047630
16Maxim Mamin0XX100.00753074597142815931677554674446050620
17Ryan Kuffner (R)0X100.00342283645950825731657162682837047600
18Cooper Marody (R)0X100.00222282654830835632657164683237047570
19Adam Pelech0X100.00783066468168738228837670635155065730
20Sean Walker0X100.00652470455756788330827645663548047700
21Riley Stillman0X100.00374081596381846731676864683560047690
22Casey Nelson0X100.00622168475660708030817555663938050690
23Caleb Jones (R)0X100.00472775535871817231747364674043047690
24Ethan Bear0X100.00392576505667816830727056674246050670
25Matt Benning0X100.00813059486858727728767259634248021670
Rayé
1Antti Suomela (R)0X100.00401674454851816263747852674537047640
2Max Veronneau (R)0X100.00222083595457825931677665672937047630
3Karson Kuhlman0X100.00431879494855816135697852673646047630
4Taylor Leier0X100.00362975614848795936677663665058050620
5Henrik Haapala0X100.00311585633364835631647269684736050600
6Dominic Turgeon0X100.00353081686651825632657070684759050600
7Shane Gersich0X100.00312183704134835631647165683537050570
8Brandon Gignac0X100.00272483683640845631647070683843047550
9Giovanni Fiore0X100.00223084695535845631646968684145050550
10Zach Whitecloud0X100.00262183597160846731796857683037050660
11Josh Mahura (R)0X100.00402475485353817331747348673643047660
12Josh Jacobs (R)0X100.00362484606555846731726861683844047640
MOYENNE D'ÉQUIPE100.0050257252575680653872756068424504765
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 Brossoit100.0086918686889191909075656973050840
Rayé
MOYENNE D'ÉQUIPE100.008691868688919190907565697305084
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'ÉquipePOS GP 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
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


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam PelechHybrides (LYC)D251994-08-16No218 Lbs191 CMNoNoNo3Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Antti SuomelaHybrides (LYC)C251994-03-17Yes180 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Brandon GignacHybrides (LYC)LW211997-11-07No170 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm921,666$0$0$NoLien
Brendan GaunceHybrides (LYC)C251994-03-25No217 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Caleb JonesHybrides (LYC)D221997-06-06Yes194 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm815,000$0$0$NoLien
Casey NelsonHybrides (LYC)D271992-07-18No185 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Conor GarlandHybrides (LYC)RW231996-03-11Yes165 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm822,223$0$0$NoLien
Cooper MarodyHybrides (LYC)LW221996-12-20Yes184 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Dominic TurgeonHybrides (LYC)C231996-02-25No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm919,167$0$0$NoLien
Dominik SimonHybrides (LYC)C/LW/RW251994-08-08No190 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm692,500$0$0$NoLien / Lien NHL
Ethan BearHybrides (LYC)D221997-06-26No197 Lbs180 CMNoNoNo1Contrat d'EntréePro & Farm773,333$0$0$NoLien
Giovanni FioreHybrides (LYC)LW231996-08-13No188 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm701,667$0$0$NoLien
Henrik HaapalaHybrides (LYC)LW251994-02-28No165 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Josh JacobsHybrides (LYC)D231996-02-15Yes200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Josh MahuraHybrides (LYC)D211998-05-05Yes192 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm910,833$0$0$NoLien
Juho LammikkoHybrides (LYC)C231996-01-29Yes191 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Karson KuhlmanHybrides (LYC)RW231995-09-26No185 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm762,500$0$0$NoLien
Kiefer SherwoodHybrides (LYC)RW241995-03-31No194 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Laurent BrossoitHybrides (LYC)G261993-03-23No204 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Lucas WallmarkHybrides (LYC)C241995-09-05No178 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien
Matt BenningHybrides (LYC)D251994-05-25No203 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,900,000$0$0$NoLien / Lien NHL
Matt CalvertHybrides (LYC)LW291989-12-24No186 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm2,200,000$0$0$NoLien / Lien NHL
Max VeronneauHybrides (LYC)RW231995-12-12Yes190 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Maxim MaminHybrides (LYC)C/LW241995-01-13No206 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nathan BastianHybrides (LYC)RW211997-12-06Yes205 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm905,000$0$0$NoLien
Riley StillmanHybrides (LYC)D211998-03-09No196 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Ross JohnstonHybrides (LYC)LW251994-02-18No235 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm666,667$0$0$NoLien
Ryan KuffnerHybrides (LYC)LW231996-06-12Yes195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Saku MaenalanenHybrides (LYC)RW251994-05-29Yes207 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm1,275,000$0$0$NoLien
Sean WalkerHybrides (LYC)D241994-11-13No196 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm745,000$0$0$NoLien
Shane GersichHybrides (LYC)LW231996-07-10No175 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Sven AndrighettoHybrides (LYC)C/LW/RW261993-03-21No188 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,400,000$0$0$NoLien / Lien NHL
Taro HiroseHybrides (LYC)LW231996-06-30Yes160 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Taylor LeierHybrides (LYC)LW251994-02-15No180 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm806,588$0$0$NoLien
Ty RattieHybrides (LYC)RW261993-02-05No183 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Tyson JostHybrides (LYC)C/LW/RW211998-03-14No191 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,673,333$0$0$NoLien / Lien NHL
Victor OlofssonHybrides (LYC)LW241995-07-18Yes181 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Zach WhitecloudHybrides (LYC)D221996-11-28No209 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3823.74192 Lbs183 CM1.681,044,925$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertBrendan GaunceTy Rattie40122
2Ross JohnstonMatt Calvert30122
3Maxim MaminTy Rattie20122
4Brendan Gaunce10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMatt Benning40122
2Casey NelsonEthan Bear30122
3Adam Pelech20122
4Matt BenningCasey Nelson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertBrendan GaunceTy Rattie60122
2Ross JohnstonMatt Calvert40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMatt Benning60122
2Casey NelsonEthan Bear40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt CalvertTy Rattie60122
2Brendan GaunceRoss Johnston40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMatt Benning60122
2Casey NelsonEthan Bear40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Calvert60122Adam PelechMatt Benning60122
2Ty Rattie40122Casey NelsonEthan Bear40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt CalvertTy Rattie60122
2Brendan GaunceRoss Johnston40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMatt Benning60122
2Casey NelsonEthan Bear40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertBrendan GaunceTy RattieAdam PelechMatt Benning
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertBrendan GaunceTy RattieAdam PelechMatt Benning
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ethan Bear, Adam PelechEthan Bear, Adam Pelech
Tirs de Pénalité
Matt Calvert, Ty Rattie, Brendan Gaunce, Ross Johnston,
Gardien
#1 : Laurent Brossoit, #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



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$ 3,970,715$ 2,505,674$ 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$ 0 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
20168445220321024351552804222110215124573172422311011511908210890435756119115142141139192544836818845107242982487215572917124.40%3124884.62%18953161059.19%964169256.97%675117457.50%1984127718146811309672
201784442305381327176151422760207017571104421717033111521054788327574901051161049414256785783882872231381860917212866121.33%3035083.50%11867172150.38%784163447.98%565108652.03%1987128118056861308667
20188233310564337524812741238024312041021024110230321217114625663756491024001461259512274091894085154270694274415592854315.09%3537778.19%12957179153.43%889180949.14%641118853.96%1948123617296631302681
Total Saison Régulière250122760131122611375795581257225065152624246378125505107674513333180244113719793116110404370328457851261125962524233744825842225483786217520.30%96817581.92%412777512254.22%2637513551.35%1881344854.55%592037955349203039212021
Séries
201612750000028280752000002016452300000812-414284775007108336011810111724377130100216371027.03%45686.67%015827357.88%13326250.76%9214165.25%28417828397191103
20179540000022193523000001111043100000118310223961015971271957094122579089197421126.19%37683.78%19219347.67%10818060.00%5010846.30%2091292057514272
2018624000001621-53120000079-231200000912-341627430066401946467630231715310124625.00%24579.17%05512444.35%7415547.74%337643.42%12474139539647
Total Séries271413000006668-2158700000383621266000002832-42866113179011825194825277238274368652912425141032726.21%1061783.96%130559051.69%31559752.76%17532553.85%618381628226430224