hellpepitosKingspatriots

 

 


Benchwarmers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yanick Dumaine | Morale : 50 | Moyenne d'Équipe : 64
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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
1Brock McGinn0X100.00783067385468777045798173805458050710
2Markus Granlund0XXX100.00491069394971686762778075855837050690
3Christian Fischer0X100.00782465357462807134778155654241050690
4Jacob de la Rose0XXX100.00792361498053716271767962645550050670
5Denis Malgin0XXX100.00601367363861667152798255714434050670
6Jayce Hawryluk (R)0X100.00873051415742787067768246664448050660
7Austin Wagner (R)0X100.00873560365439777537778347664049047660
8Dylan Sikura0X100.00332083443652806631807951673338050650
9Tyler Motte0XX100.00841373465257776637747970654533050650
10Sammy Blais0X100.00892457466948706334767934723940050640
11J.T. Brown0XX100.00833956514341736346757853575656050630
12Trevor Moore (R)0X100.00751877494539816530768050674236050630
13Miikka Salomaki0XX100.00831254496447556337767953645435047630
14William Carrier0X100.00953140437643576729717946654752050630
15Jean-Sebastien Dea0X100.00632963494445816255687856674846050620
16John Quenneville0X100.00543574606252725933677462734354050620
17Scott Mayfield0X100.00744053478867758131837570644957050720
18Troy Stecher0X100.00643064455071748131847565634756047720
19Nikita Zadorov0X100.00893537468966708127817566605151050710
20Lawrence Pilut (R)0X100.00481865474563787830807453674544050690
21Ryan Graves (R)0X100.00683878528740817930757442674962050670
22Quinn Hughes (R)0X100.00282280523265766831727057723137050650
23Colton White0X100.00362780605152836731726959684151050640
24Justin Holl0X100.00452579597747826931727147674448050640
25Brogan Rafferty0X100.00272482615948836731726959683138047620
Rayé
1C.J. Smith0X100.00342083614649825931667564713837050600
2Rourke Chartier (R)0X100.00472377655242825835667457674247050600
3Danick Martel0X100.00453365654046825833677458674251050600
4Michael Bunting0X100.00382977655843835731647265683948050590
5Tanner Kero0X100.00312585685452805632657370664647050590
6Joseph Blandisi0XXX100.00453564695436795730657161714556050580
7Sheldon Rempal0X100.00222483653438835631657065683439050570
8Anthony Richard0X100.00223186703232845631646966684547050560
9Aleksi Saarela (R)0X100.00291884705641845631646967684438050550
10Brady Keeper0X100.00362282556046846731676860682535050610
MOYENNE D'ÉQUIPE100.0057266952565077663773755868444605064
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
1Garret Sparks (R)100.0083938583828988877757606469050790
Rayé
MOYENNE D'ÉQUIPE100.008393858382898887775760646905079
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
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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aleksi SaarelaBenchwarmers (PAT)LW221997-01-07Yes200 Lbs178 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Anthony RichardBenchwarmers (PAT)RW221996-12-20No163 Lbs178 CMNoNoNo1Pro & Farm691,666$691,666$0$0$NoLien
Austin WagnerBenchwarmers (PAT)LW221997-06-23Yes185 Lbs185 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Brady KeeperBenchwarmers (PAT)D231996-06-05No194 Lbs188 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Brock McGinnBenchwarmers (PAT)LW251994-02-02No187 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Brogan RaffertyBenchwarmers (PAT)D241995-05-28No195 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
C.J. SmithBenchwarmers (PAT)LW241994-12-01No181 Lbs180 CMNoNoNo1Pro & Farm874,125$874,125$0$0$NoLien / Lien NHL
Christian FischerBenchwarmers (PAT)RW221997-04-15No214 Lbs188 CMNoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Colton WhiteBenchwarmers (PAT)D221997-05-03No185 Lbs185 CMNoNoNo1Pro & Farm935,833$935,833$0$0$NoLien
Danick MartelBenchwarmers (PAT)LW241994-12-12No176 Lbs173 CMNoNoNo0Pro & Farm0$0$NoLien
Denis MalginBenchwarmers (PAT)C/LW/RW221997-01-18No177 Lbs175 CMNoNoNo1Pro & Farm693,333$693,333$0$0$NoLien / Lien NHL
Dylan SikuraBenchwarmers (PAT)RW241995-06-01No166 Lbs180 CMNoNoNo0Pro & Farm0$0$NoLien
Garret SparksBenchwarmers (PAT)G261993-06-28Yes201 Lbs191 CMNoNoNo1Pro & Farm675,000$675,000$0$0$NoLien
J.T. BrownBenchwarmers (PAT)LW/RW291990-07-02No166 Lbs178 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Jacob de la RoseBenchwarmers (PAT)C/LW/RW241995-05-20No216 Lbs191 CMNoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Jayce HawrylukBenchwarmers (PAT)C231996-01-01Yes196 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jean-Sebastien DeaBenchwarmers (PAT)C251994-02-08No175 Lbs180 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
John QuennevilleBenchwarmers (PAT)C231996-04-16No195 Lbs185 CMNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Joseph BlandisiBenchwarmers (PAT)C/LW/RW251994-07-18No187 Lbs180 CMNoNoNo1Pro & Farm680,000$680,000$0$0$NoLien
Justin HollBenchwarmers (PAT)D271992-01-30No205 Lbs193 CMNoNoNo0Pro & Farm0$0$NoLien
Lawrence PilutBenchwarmers (PAT)D231995-12-30Yes180 Lbs180 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Markus GranlundBenchwarmers (PAT)C/LW/RW261993-04-16No180 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Michael BuntingBenchwarmers (PAT)LW241995-09-17No197 Lbs180 CMNoNoNo1Pro & Farm715,000$715,000$0$0$NoLien
Miikka SalomakiBenchwarmers (PAT)LW/RW261993-03-09No203 Lbs180 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nikita ZadorovBenchwarmers (PAT)D241995-04-16No230 Lbs196 CMNoNoNo2Pro & Farm2,150,000$2,150,000$0$0$No2,150,000$Lien / Lien NHL
Quinn HughesBenchwarmers (PAT)D191999-10-14Yes170 Lbs178 CMNoNoNo1Pro & Farm1,604,167$1,604,167$0$0$NoLien
Rourke ChartierBenchwarmers (PAT)LW231996-04-03Yes190 Lbs180 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Ryan GravesBenchwarmers (PAT)D241995-05-21Yes226 Lbs196 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Sammy BlaisBenchwarmers (PAT)LW231996-06-17No205 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien
Scott MayfieldBenchwarmers (PAT)D261992-10-14No223 Lbs196 CMNoNoNo4Pro & Farm1,450,000$1,450,000$0$0$No1,450,000$1,450,000$1,450,000$Lien / Lien NHL
Sheldon RempalBenchwarmers (PAT)RW241995-08-07No165 Lbs178 CMNoNoNo1Pro & Farm874,125$874,125$0$0$NoLien
Tanner KeroBenchwarmers (PAT)C271992-07-24No185 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Trevor MooreBenchwarmers (PAT)LW241995-03-31Yes182 Lbs178 CMNoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Troy StecherBenchwarmers (PAT)D251994-04-07No186 Lbs178 CMNoNoNo2Pro & Farm2,325,000$2,325,000$0$0$No2,325,000$Lien / Lien NHL
Tyler MotteBenchwarmers (PAT)LW/RW241995-03-10No192 Lbs178 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
William CarrierBenchwarmers (PAT)LW241994-12-20No212 Lbs188 CMNoNoNo1Pro & Farm725,000$725,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3624.00191 Lbs183 CM0.92805,600$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnMarkus GranlundTyler Motte40122
2Austin WagnerJayce HawrylukJ.T. Brown30122
3William CarrierJohn Quenneville20122
4Trevor MooreJean-Sebastien Dea10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldLawrence Pilut40122
2Ryan GravesQuinn Hughes30122
3Justin Holl20122
4Colton WhiteScott Mayfield10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnMarkus GranlundTyler Motte60122
2Austin WagnerJayce HawrylukJ.T. Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldLawrence Pilut60122
2Ryan GravesQuinn Hughes40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnMarkus Granlund60122
2Austin WagnerJayce Hawryluk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldLawrence Pilut60122
2Ryan GravesQuinn Hughes40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brock McGinn60122Scott MayfieldLawrence Pilut60122
2Markus Granlund40122Ryan GravesQuinn Hughes40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnMarkus Granlund60122
2Austin WagnerJayce Hawryluk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldLawrence Pilut60122
2Ryan GravesQuinn Hughes40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnMarkus GranlundTyler MotteScott MayfieldLawrence Pilut
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnMarkus GranlundTyler MotteScott MayfieldLawrence Pilut
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Justin Holl, Colton WhiteJustin Holl, Colton White
Tirs de Pénalité
Brock McGinn, Markus Granlund, Austin Wagner, Jayce Hawryluk, Tyler Motte
Gardien
#1 : Garret Sparks, #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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,900,158$ 2,383,495$ 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
201684412805235431209222422390321421784133421819020212141258982431754118502133163127152461790866791482670974145115902568332.42%3996483.96%14855161952.81%1050194054.12%625122151.19%1832115319846871276633
201784402501396310340-304226900142180172842141601254130168-388031053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201784293905146245378-13342161702034119191-7242132203112126187-61582454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
20188233360344244535095411915023112341587641142101131211192196644565611011016514712610276495498081241327211416399343078728.34%3017973.75%2683158743.04%727196337.04%596137243.44%1666107620926561205581
2018823930053143992221774124802313214100114411522030011851226378399713111212159126108729141069936887352830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
Total Saison Régulière4161821580191321231830149933120810858099101496470525920874100010411986679472364183030774907414636615539581294343594423403728213678478442447262142835024.51%174133180.99%604091822049.77%4524914949.45%2997621148.25%922858999676339263343140
Séries
2017158700000292817430000013112844000001617-11629558410156534181571161133242716412025765710.77%60886.67%116229554.92%18131657.28%10417858.43%358224349136252126
2017514000001318-52110000087130300000511-62132336007420143434455118852548623521.74%27388.89%1549954.55%4912937.98%226036.67%10768128407034
2018514000001534-192110000069-330300000925-162152237003741179435673723176344922731.82%17476.47%03211228.57%3613426.87%247830.77%8755148376731
201894500000373345320000023176413000001416-283765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666
Total Séries3414200000094113-191697000005044618513000004469-25289416525910372825411273923163744511243973095621432718.88%1502186.00%738672053.61%38475750.73%23444252.94%795516809279516259