ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH
LHSRSM


Wild
GP: 3 | W: 0 | L: 3
GF: 6 | GA: 13 | PP%: 28.57% | PK%: 73.33%
DG: Philippe Lanois | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #30 vs Wolves
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Logan BrownX100.007149856596808263786662676563620456502121,573,333$
2Brendan LeipsicXX100.00704286656874876354665956637167050630251650,000$
3Josh NorrisX100.006238866579857463766264626361650506302031,633,333$
4Lukas VejdemoXX100.00624590627978836374615864656764047630231925,000$
5Zack MacEwenXX100.00655381628473726366606261646763047630231995,833$
6Sam LaffertyXXX100.00694980637670736568616462656966050630241925,000$
7Alexander VolkovXX100.00614688637682796256615960626563050620221925,000$
8Daniel SprongX100.00584389647182816358616259686563050620221750,000$
9Cameron HughesXX100.00554185616479766053585957616764050600232925,000$
10Mikhail MaltsevXX100.00674481598384815853555756596362050600213925,000$
11Evan BouchardX100.006452836681858764306355594861630466301931,627,500$
12Niko MikkolaX100.00684689628385826130605863556764042630231925,000$
13Lawrence PilutX100.005942876471797762306358615469650506202311,350,000$
14Steven SantiniX100.006847896081787258305956655069650506202421,416,666$
15Matt TennysonX100.00644587608179755830595762457868050620292700,000$
16Nelson NogierX100.00624788597977765830575660536764050600231700,000$
Rayé
1Brandon GignacXX100.00554285616679775954605857616563050600212921,666$
2Zach NastasiukX100.00664584558185835651535457556965018590241650,000$
3Paul CotterXX100.00594688557386885460525356546162050580193806,667$
4Dmitri SamorukovX100.00644787588182795630545259476162050590203863,333$
5Josh BrookX100.00584384567486875430535358456162050580203910,833$
MOYENNE D'ÉQUIPE100.0063458661778080605059586057666404761
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
1Anton Forsberg100.0075666482747375747375747581050660
2Matiss Kivlenieks100.0075605876747375747375746771050640
Rayé
MOYENNE D'ÉQUIPE100.007563617974737574737574717605065
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
1Alexander VolkovWild (MIN)LW/RW3112-2002411049.09%24013.3700000000070050.00%200001.0000000000
2Brendan LeipsicWild (MIN)C/LW3112-30032841112.50%04615.4211224000000040.00%500000.8600000000
3Daniel SprongWild (MIN)RW3112-3201361716.67%04615.4211224000000050.00%200000.8600000000
4Josh NorrisWild (MIN)C3112-355917152106.67%35719.0300001000010054.79%7300000.7000000000
5Niko MikkolaWild (MIN)D3022-160981120.00%26722.6201105000112000.00%000000.5900000000
6Zack MacEwenWild (MIN)C/RW31121003380412.50%15217.3400014000050058.33%1200000.7700000000
7Sam LaffertyWild (MIN)C/LW/RW311212011456520.00%06020.23000040000130060.00%500000.6600000000
8Lawrence PilutWild (MIN)D3011-120923000.00%45719.2400004000012000.00%000000.3500000000
9Lukas VejdemoWild (MIN)C/LW3011-300065460.00%15217.6301114000060050.82%6100000.3800000000
10Matt TennysonWild (MIN)D3011-140144250.00%86822.6800024000012000.00%000000.2900000000
11Cameron HughesWild (MIN)C/LW3000-320462230.00%25217.3900000000000025.00%400000.0000000000
12Steven SantiniWild (MIN)D3000-140747250.00%65719.2600044000112000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne3661117-1927559637524628.00%2965818.3024612440002840052.44%16400000.5200000000
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
1Anton ForsbergWild (MIN)30300.8854.3617900131130000.000030000
Stats d'équipe Total ou en Moyenne30300.8854.3617900131130000.000030000


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
Alexander VolkovWild (MIN)LW/RW221997-08-02No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Anton ForsbergWild (MIN)G261992-11-27No192 Lbs6 ft3NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Brandon GignacWild (MIN)C/LW211997-11-07No170 Lbs5 ft11NoNoNo2Pro & Farm921,666$0$0$No921,666$Lien / Lien NHL
Brendan LeipsicWild (MIN)C/LW251994-05-19No180 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cameron HughesWild (MIN)C/LW231996-10-09No160 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Daniel SprongWild (MIN)RW221997-03-17No191 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dmitri SamorukovWild (MIN)D201999-06-16No188 Lbs6 ft3NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Evan BouchardWild (MIN)D191999-10-20No194 Lbs6 ft3NoNoNo3Pro & Farm1,627,500$0$0$No1,627,500$1,627,500$Lien
Josh BrookWild (MIN)D201999-06-17No182 Lbs6 ft1NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Josh NorrisWild (MIN)C201999-05-05No192 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$0$0$No1,633,333$1,633,333$Lien
Lawrence PilutWild (MIN)D231995-12-30No194 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Logan BrownWild (MIN)C211998-03-05No220 Lbs6 ft6NoNoNo2Pro & Farm1,573,333$0$0$No1,573,333$Lien / Lien NHL
Lukas VejdemoWild (MIN)C/LW231996-01-25No194 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Matiss KivlenieksWild (MIN)G231996-08-26No178 Lbs6 ft2NoNoNo1Pro & Farm1,066,667$0$0$NoLien / Lien NHL
Matt TennysonWild (MIN)D291990-04-23No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Mikhail MaltsevWild (MIN)C/LW211998-03-12No198 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Nelson NogierWild (MIN)D231996-05-27No191 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Niko MikkolaWild (MIN)D231996-04-27No185 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Paul CotterWild (MIN)C/LW191999-11-16No191 Lbs6 ft0NoNoNo3Pro & Farm806,667$0$0$No806,667$806,667$Lien
Sam LaffertyWild (MIN)C/LW/RW241995-03-06No195 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Steven SantiniWild (MIN)D241995-03-07No205 Lbs6 ft2NoNoNo2Pro & Farm1,416,666$0$0$No1,416,666$Lien / Lien NHL
Zach NastasiukWild (MIN)RW241995-03-30No202 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Zack MacEwenWild (MIN)C/RW231996-07-08No205 Lbs6 ft3NoNoNo1Pro & Farm995,833$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2322.52191 Lbs6 ft21.74997,427$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam LaffertyZack MacEwen30122
2Brendan LeipsicLukas VejdemoDaniel Sprong30122
3Josh NorrisAlexander Volkov25122
4Cameron Hughes15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson30122
2Steven SantiniLawrence Pilut30122
3Cameron Hughes25122
4Niko MikkolaMatt Tennyson15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam LaffertyZack MacEwen60122
2Brendan LeipsicLukas VejdemoDaniel Sprong40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sam Lafferty60122
2Zack MacEwenLukas Vejdemo40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Niko MikkolaMatt Tennyson60122
2Sam Lafferty40122Steven SantiniLawrence Pilut40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam Lafferty60122
2Zack MacEwenLukas Vejdemo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam LaffertyZack MacEwenNiko MikkolaMatt Tennyson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam LaffertyZack MacEwenNiko MikkolaMatt Tennyson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Norris, , Alexander VolkovJosh Norris, Alexander Volkov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Steven Santini, Lawrence PilutSteven Santini, Lawrence Pilut
Tirs de Pénalité
, Sam Lafferty, Zack MacEwen, Lukas Vejdemo, Josh Norris
Gardien
#1 : Anton Forsberg, #2 : Matiss Kivlenieks


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
1Wolves30300000613-71010000036-32020000037-400.000611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716
Total30300000613-71010000036-32020000037-400.000611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716
_Since Last GM Reset30300000613-71010000036-32020000037-400.000611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716
_Vs Conference30300000613-71010000036-32020000037-400.000611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716
_Vs Division30300000613-71010000036-32020000037-400.000611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
30L3611177711331296100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3030000613
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000036
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000037
Derniers 10 Matchs
WLOTWOTL SOWSOL
030000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
7228.57%15473.33%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
28173202220
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
339235.87%5011742.74%205040.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
594082213716


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 - 2021-04-076Wild3Wolves4LSommaire du Match
4 - 2021-04-0914Wild0Wolves3LSommaire du Match
6 - 2021-04-1122Wolves6Wild3LSommaire du Match
8 - 2021-04-1330Wolves-Wild-
10 - 2021-04-1538Wild-Wolves-
12 - 2021-04-1746Wolves-Wild-
14 - 2021-04-1954Wild-Wolves-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,294,083$ 1,239,084$ 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$ 8 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
282244402336228294-6641151802024122129-74192600312106165-5948228394622038875609237881677376353260373897614753396619.47%3728876.34%51348263851.10%1156255645.23%616135345.53%1956133819616181058524
382254304073204241-3741161901032107109-2419240304197132-35502043445481271715115252681682184385265077577715813404713.82%3125283.33%21382271350.94%1349280348.13%608125748.37%1980135319416051058528
4823829010682582015741221201042150925841161700026108109-176258461719079284751428739209349888625447581405186456810919.19%5728884.62%21799313657.37%1645310852.93%687123955.45%2008134719306551051529
58233320524624423774115130502610910634118190022013513146624442566932103716113295795896699966281279355618892053215.61%2564980.86%11691283959.56%1528283153.97%712128055.63%2009144119665621004502
68243300212432421610841231501011180998141201501113144117278632458390709122105939344911751110115036268577458021342074220.29%2333684.55%41738313755.40%1433287149.91%690128853.57%2164156117665531025533
78237310434334625294411617021321581144441211402211188138507434660194714146969612384212121273130474292879942520042114219.91%1814674.59%11960333358.81%1589288655.06%800138057.97%2145157618215431009519
882511804234393202191412870212121497117412311021131791057410239372211150101691318610389112741285129659258577841318731804323.89%1863879.57%21922318060.44%1551270857.27%800134359.57%235217721650504965516
882511804234393202191412870212121497117412311021131791057410239372211150101691318610389112741285129659258577841318731804323.89%1863879.57%21922318060.44%1551270857.27%800134359.57%235217721650504965516
982482601223361258103412610002121901286241221601011171130411073616531014271341171074347311151134120930279481445419791915830.37%2054578.05%31718318953.87%1486293050.72%710136651.98%2111153018215591019524
Total Saison Régulière738350271027153441275121036483691891180165202114449714733691611530111014201307113217571127514905765675410948817159629280956095819848548241867007599916672242148219.91%250348080.82%22154802734556.61%132882540152.31%64231184954.21%190821369516510510791594695
Séries
4159600000423847610000022139835000002025-51842761180017159147016915814124881402763351191915.97%1131685.84%128556450.53%27257747.14%11623549.36%34822636012219194
562400000917-83120000058-33120000049-549142301431115561533011252753817319315.79%180100.00%06119830.81%8726532.83%358242.68%12782189507937
81899000004950-19540000027252945000002225-31849881370219161315161631861661645180143420511223.53%621182.26%030161349.10%30769144.43%11827842.45%412277434132233113
930300000613-71010000036-32020000037-40611170022207728173201133129617228.57%15473.33%0339235.87%5011742.74%205040.00%594082213716
Total Séries42202200000106118-1220128000005752522814000004966-174010618929503423625312184214143691414984264869891963618.37%2083185.10%1680146746.35%716165043.39%28964544.81%9476271068326541261