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LHSRSM


Wolves
GP: 3 | W: 3 | L: 0
GF: 13 | GA: 6 | PP%: 26.67% | PK%: 71.43%
DG: Steve Desbois | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #30 vs Wild
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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 SPÂgeContratSalaire
1Carl GrundstromXX100.00654588647584786257606063666563040630211925,000$
2Carter VerhaegheXX100.00583986647379816272636165646966047630241700,000$
3Curtis Lazar (A)XXX100.00664589627779786172606066626965050630241700,000$
4Danny O'ReganX100.00564389626680756168605963627166022620251700,000$
5Dominic TurgeonX100.00634788628083766074595763616764050620231750,000$
6Mason AppletonXXX100.00624387607973776266595861606764044620231758,333$
7Tyler BensonX100.00594388627276736458635961646362050620212863,333$
8T.J. TynanXX100.00563984646277756376655861647568050620271700,000$
9Scott WilsonX100.005642906368727062536061646275680506202711,050,000$
10David GustafssonX100.00624290628064666172605863596162050610193925,000$
11Tommy NovakX100.00574484637386876175625657636562050610223925,000$
12Mikey EyssimontXX100.00595481587087895753555654586764050590231925,000$
13Roman PolakX100.008946705988838158306752834784740456503311,750,000$
14Luke SchennX100.0082488661867773593063566952797109640291700,000$
15Jacob LarssonX100.00624287647882796330625765526562050630221894,166$
16Josh MahuraX100.00594388667282756330615758546361050620212910,833$
17Frederic AllardX100.00574888617387895930585356456563050600212921,666$
18Johnathan Kovacevic (R)X100.00725183578881795630545458466564050600222925,000$
Rayé
1Fabian ZetterlundXX100.00533989596082815762555658596163050590203925,000$
MOYENNE D'ÉQUIPE100.0063448662758078615560576358686504562
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 Lyon100.0075696778747375747375747581050660
2Eric Comrie100.0075686672747375747375746973050650
Rayé
MOYENNE D'ÉQUIPE100.007569677574737574737574727705066
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
1Carter VerhaegheWolves (VGK)C/RW332522052105730.00%05618.670223130000010100.00%600001.7900000010
2Curtis LazarWolves (VGK)C/LW/RW322410055821025.00%05919.96112114000030066.67%7200001.3400000010
3Carl GrundstromWolves (VGK)LW/RW32131006383525.00%24314.6200000000011060.00%500001.3700000010
4Frederic AllardWolves (VGK)D3033300100050.00%25919.9401101300003000.00%000001.0000000100
5Roman PolakWolves (VGK)D2033300346020.00%14120.5800041100000000.00%000001.4600000100
6Josh MahuraWolves (VGK)D3033000374120.00%35719.0102241300000000.00%000001.0500000000
7Dominic TurgeonWolves (VGK)C3022200683370.00%35919.89000011000060055.84%7700000.6700000000
8Jacob LarssonWolves (VGK)D32020009880425.00%47424.9320251300006010.00%000000.5300000100
9Tommy NovakWolves (VGK)C3022100127320.00%0258.4600001000000066.67%2700001.5800000000
10Scott WilsonWolves (VGK)LW30222202584100.00%05518.50022413000000028.57%700000.7200000001
11David GustafssonWolves (VGK)C3011100215020.00%13712.5400000000030050.98%5100000.5300000000
12Danny O'ReganWolves (VGK)C31011001372314.29%03612.0700000000011080.00%500000.5500000000
13Luke SchennWolves (VGK)D3011200422020.00%26120.370000000005000.00%000000.3300000000
14Ryan LindgrenGolden KnightsD1101-1004051020.00%22020.031013100003000.00%000001.0000000001
15Mikey EyssimontWolves (VGK)C/LW31011204150320.00%1237.850000000000000.00%100000.8500000001
16Tyler BensonWolves (VGK)LW30111003614260.00%05418.31000312000000080.00%500000.3600000000
17T.J. TynanWolves (VGK)C/RW31011202253620.00%1237.930000000000000.00%000000.8400000000
18Johnathan KovacevicWolves (VGK)D30003601013010.00%34615.340000000002000.00%000000.0000000000
19Mason AppletonWolves (VGK)C/LW/RW3000100415230.00%05317.67000112000050066.67%300000.0000000000
Stats d'équipe Total ou en Moyenne54132336251407561113318011.50%2588916.474812281340000413160.23%25900000.8100000333
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
1Eric ComrieWolves (VGK)33000.9222.00180016770000.000030000
Stats d'équipe Total ou en Moyenne33000.9222.00180016770000.000030000


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
Alex LyonWolves (VGK)G261992-12-09No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Carl GrundstromWolves (VGK)LW/RW211997-12-01No201 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Carter VerhaegheWolves (VGK)C/RW241995-08-14No177 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Curtis LazarWolves (VGK)C/LW/RW241995-02-02No211 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Danny O'ReganWolves (VGK)C251994-01-30No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
David GustafssonWolves (VGK)C192000-04-11No196 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Dominic TurgeonWolves (VGK)C231996-02-25No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Eric ComrieWolves (VGK)G241995-07-06No175 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Fabian ZetterlundWolves (VGK)C/RW201999-08-25No195 Lbs5 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Frederic AllardWolves (VGK)D211997-12-27No179 Lbs6 ft1NoNoNo2Pro & Farm921,666$0$0$No921,666$Lien / Lien NHL
Jacob LarssonWolves (VGK)D221997-04-29No190 Lbs6 ft2NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Johnathan KovacevicWolves (VGK)D221997-07-12Yes208 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Josh MahuraWolves (VGK)D211998-05-05No186 Lbs6 ft0NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Luke SchennWolves (VGK)D291989-11-02No227 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Mason AppletonWolves (VGK)C/LW/RW231996-01-15No193 Lbs6 ft2NoNoNo1Pro & Farm758,333$0$0$NoLien / Lien NHL
Mikey EyssimontWolves (VGK)C/LW231996-09-09No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Roman PolakWolves (VGK)D331986-04-28No240 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$0$0$NoLien / Lien NHL
Scott WilsonWolves (VGK)LW271992-04-24No177 Lbs5 ft11NoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
T.J. TynanWolves (VGK)C/RW271992-02-25No165 Lbs5 ft8NoNoNo1Pro & Farm700,000$0$0$NoLien
Tommy NovakWolves (VGK)C221997-04-28No179 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Tyler BensonWolves (VGK)LW211998-03-15No190 Lbs6 ft0NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2123.67193 Lbs6 ft01.52876,111$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler BensonCurtis LazarCarl Grundstrom30122
2Scott WilsonDominic TurgeonCarter Verhaeghe30122
3Danny O'ReganDavid GustafssonMason Appleton25122
4Mikey EyssimontTommy NovakT.J. Tynan15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh MahuraJacob Larsson30122
2Luke SchennRoman Polak30122
3Johnathan KovacevicFrederic Allard25122
4Luke SchennJacob Larsson15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott WilsonCurtis LazarCarter Verhaeghe60122
2Tyler BensonDominic TurgeonMason Appleton40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh MahuraJacob Larsson60122
2Frederic AllardRoman Polak40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dominic TurgeonMason Appleton60122
2David GustafssonCurtis Lazar40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luke SchennJacob Larsson60122
2Johnathan KovacevicRoman Polak40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Curtis Lazar60122Luke SchennJacob Larsson60122
2David Gustafsson40122Johnathan KovacevicFrederic Allard40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Curtis LazarScott Wilson60122
2Carter VerhaegheDanny O'Regan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luke SchennJosh Mahura60122
2Jacob LarssonRoman Polak40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Curtis LazarCarter VerhaegheCarl GrundstromJosh MahuraJacob Larsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Curtis LazarCarter VerhaegheDanny O'ReganRoman PolakLuke Schenn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mason Appleton, Scott Wilson, T.J. TynanTommy Novak, Scott WilsonDanny O'Regan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Larsson, Roman Polak, Luke SchennJacob LarssonFrederic Allard, Jacob Larsson
Tirs de Pénalité
Curtis Lazar, Carter Verhaeghe, Carl Grundstrom, Scott Wilson, Tyler Benson
Gardien
#1 : Eric Comrie, #2 : Alex Lyon


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
1Wild330000001367220000007341100000063361.00013233601445011340324107725147515426.67%7271.43%06711757.26%599264.13%305060.00%826059193720
Total330000001367220000007341100000063361.00013233601445011340324107725147515426.67%7271.43%06711757.26%599264.13%305060.00%826059193720
_Since Last GM Reset330000001367220000007341100000063361.00013233601445011340324107725147515426.67%7271.43%06711757.26%599264.13%305060.00%826059193720
_Vs Conference330000001367220000007341100000063361.00013233601445011340324107725147515426.67%7271.43%06711757.26%599264.13%305060.00%826059193720

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
36W31323361137725147501
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3300000136
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000073
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000063
Derniers 10 Matchs
WLOTWOTL SOWSOL
300000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
15426.67%7271.43%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
40324104450
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
6711757.26%599264.13%305060.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
826059193720


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 - 2021-04-076Wild3Wolves4WSommaire du Match
4 - 2021-04-0914Wild0Wolves3WSommaire du Match
6 - 2021-04-1122Wolves6Wild3WSommaire 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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,839,833$ 974,833$ 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
281283900455246281-3541141800243118137-1940142100212128144-16562464346800190787392510805840831662673754104316343426619.30%3928179.34%21406265253.02%1381273250.55%679133051.05%1882127419836241058514
382492502330258160984128901120147767141211601210111842798258450708311116686963003978102498525234271185015753816216.27%3494886.25%01792306958.39%1484274154.14%650115356.37%2139151117755921032538
482313701265229225441211201052135101344110250021394124-306222940163003876966122702887880917602681825161220065318015.07%6729985.27%61621298154.38%1536319348.11%626120851.82%1933128020026621047517
582274004506249274-2541132103202130137-741141901304119137-18542493806292410071747291892898696557329198031619082084421.15%1373772.99%01038263339.42%1001299533.42%480129537.07%184913592173536942449
68232370217328727512411816020321491321741142100141138143-56428747576243107937816339810601074121482350699837019532095224.88%1592783.02%31703300156.75%1695335750.49%736137853.41%196314452036552977474
78238320334228723651412114012301611204141171802112126116107628750178815120916992970973104493345301885443820652104822.86%1953383.08%21434282450.78%1406303446.34%634127949.57%213315671843540985508
882432202110436120615541201101153179103764123110105118210379863616531014171501059419346610891213113382248967841618061753419.43%1802685.56%61773298059.50%1447257656.17%789136657.76%236517721633510997539
882432202110436120615541201101153179103764123110105118210379863616531014171501059419346610891213113382248967841618061753419.43%1802685.56%61773298059.50%1447257656.17%789136657.76%236517721633510997539
9824623041353402371034122110311316912049412412010221711175411234062196116137961008324810391101108156250477952118981955025.64%2303983.04%61798300859.77%1534268757.09%809137159.01%2259165016845451023539
Total Saison Régulière737337277020214834261821005183691771230131028181367102933836816015407112016125110711806942618456871861347105777671710527681884893759192555249937257598216651242647019.37%249441683.32%31143382612854.88%129312589149.94%61921174652.72%188931363516766507690624620
Séries
2514000001427-1320200000612-631200000815-72142640006710153516141017453969325312.00%28871.43%09316058.13%7614153.90%458552.94%11478122386330
3844000002221142200000121204220000010918223759015890250807385122698510614544920.45%41685.37%013428047.86%12030239.74%6212549.60%1901262116410752
8734000001721-432100000107341300000714-761731481065512136367803259726013820315.00%29486.21%012024948.19%13826651.88%439744.33%167114164528844
93300000013672200000073411000000633613233601445011340324107725147515426.67%7271.43%06711757.26%599264.13%305060.00%826059193720
Total Séries231112000006675-9116500000353411257000003141-102266117183122124201729234233247157792352764511041918.27%1052080.95%041480651.36%39380149.06%18035750.42%555379557175295147