Williamsburg Dragons

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: New Dutch Hockey Holdings | Morale : 48 | Moyenne d'Équipe : 63
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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
1Stewart Goldsby0X97.50326997577766974788169547099574749680
2Mihaly Racz0X98.504919807368776773486285585084784842670
3Raymond Haag0X100.00311996282506563866165768099992171650
4Gregg Viney0X100.0011995389969160844875719399843571650
5Ralph Freedman0X100.0011995780113274847980617499992572640
6Seth Krohn (R)0X100.00402699755777775896680575076416872640
7Chase Martin0X100.00408787776706556456774457084534461630
8Ben Longwell0X100.009646567081727061233478317099994422610
9Taylor Walker0X100.004211357178716569477446387099784322610
10Doug Slager0X100.008321497374787255434489277097644323610
11Blake Miller0X100.009924347279698332875670467095556620600
12Charlie Goya0X100.006722617171807759884373327082405123590
13Nick Soloway (R)0X99.505158377667747748264756835099898450680
14Kirby Tyler0X100.005323356386725118313233967099734224630
15Dylan Herdes0X100.00225996980646364457489507099513925630
16Carey Naylor0X100.004821866777738425202441765099574523610
17Jordan Nihart0X100.007033577566726743223642665066684830610
Rayé
1Brandon Scobee0X97.639927257375907637596867885099703865690
2Tony McNeil0X97.509923635777506260807265707299992670670
3Mike Venditti0X93.761199578383171997872677499991820630
4Dylan Avenoso0X100.00322998765745840806638407099996020580
5Cary Wilbanks0X100.002918997469725859184466467090706920580
6Kent Hewman0X100.00211997774696647545764317099485620570
7Jayson Devier (R)0X100.003726956660796752436364337099455920570
8Owen McAvoy0X100.00258996477739054312865297088954320550
9Kevin Dahl0X100.003211997374807143684172267076395820550
10Carter Decoteau0X97.281199717943557250686091559999932670
11Bret Kostelnick (R)0X95.505227746763735859193761755099866147640
12Wyatt Higgins (R)0X85.60545046368884127384242947099635212630
13Greg Kirby0X100.00205997472688054582867607099755420590
14Preston Gaubert0X100.003422997167727146213949647099425118590
15Karl Dietzler (R)0X100.004026997462847137113934727065415420590
MOYENNE D'ÉQUIPE98.84441877707469675350536358679370473562
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
1Dane Brevig98.00728475737487888486476354865872760
2Pete Lipson100.00678664807093568360657099994863740
Rayé
1Leo White (R)100.00666881696594866778665089816120740
2Bryan Bourdeau100.00679071706976715574689475883320700
3Randy Alcorn100.00869558727275634874637684825819700
MOYENNE D'ÉQUIPE99.6072857073708573677462718087523973
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Bignell70768482617664CAN401225,000$


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
Ben LongwellWilliamsburg Dragons (Brk)LW2310/6/1995No207 Lbs6 ft9NoNoNo2Avec RestrictionPro & Farm283,352$0$0$No
Blake MillerWilliamsburg Dragons (Brk)LW234/28/1995No201 Lbs6 ft10NoNoNo2Avec RestrictionPro & Farm255,000$0$0$No
Brandon ScobeeWilliamsburg Dragons (Brk)LW245/27/1994No187 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm525,000$0$0$No
Bret KostelnickWilliamsburg Dragons (Brk)D1910/16/1999Yes206 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm278,041$0$0$No
Bryan BourdeauWilliamsburg Dragons (Brk)G269/29/1992No181 Lbs5 ft6NoNoNo2Avec RestrictionPro & Farm255,000$0$0$No
Carey NaylorWilliamsburg Dragons (Brk)D217/2/1997No212 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm251,849$0$0$No
Carter DecoteauWilliamsburg Dragons (Brk)D309/12/1988No203 Lbs6 ft8NoNoNo2Sans RestrictionPro & Farm427,500$0$0$No
Cary WilbanksWilliamsburg Dragons (Brk)LW239/16/1995No182 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm234,858$0$0$No
Charlie GoyaWilliamsburg Dragons (Brk)C221/23/1997No194 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm240,879$0$0$No
Chase MartinWilliamsburg Dragons (Brk)LW213/21/1997No182 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm236,975$0$0$No
Dane BrevigWilliamsburg Dragons (Brk)G2310/3/1995No180 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm270,000$0$0$No
Doug SlagerWilliamsburg Dragons (Brk)C215/29/1997No181 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm258,901$0$0$No
Dylan AvenosoWilliamsburg Dragons (Brk)LW2610/5/1992No147 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm235,000$0$0$No
Dylan HerdesWilliamsburg Dragons (Brk)D221/9/1997No202 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm234,220$0$0$No
Greg KirbyWilliamsburg Dragons (Brk)D229/2/1996No180 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm308,296$0$0$No
Gregg VineyWilliamsburg Dragons (Brk)RW299/22/1989No262 Lbs6 ft6NoNoNo1Sans RestrictionPro & Farm420,000$0$0$No
Jayson DevierWilliamsburg Dragons (Brk)RW218/8/1997Yes195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm250,195$0$0$No
Jordan NihartWilliamsburg Dragons (Brk)D2011/10/1998No185 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm256,385$0$0$No
Karl DietzlerWilliamsburg Dragons (Brk)D2110/24/1997Yes189 Lbs6 ft7NoNoNo4Contrat d'EntréePro & Farm243,940$0$0$No
Kent HewmanWilliamsburg Dragons (Brk)LW234/28/1995No181 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm200,000$0$0$No
Kevin DahlWilliamsburg Dragons (Brk)C221/17/1997No192 Lbs6 ft8NoNoNo1Contrat d'EntréePro & Farm217,159$0$0$No
Kirby TylerWilliamsburg Dragons (Brk)D2312/4/1995No234 Lbs6 ft10NoNoNo2Avec RestrictionPro & Farm285,000$0$0$No
Leo WhiteWilliamsburg Dragons (Brk)G183/19/2000Yes164 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm257,936$0$0$No
Mihaly RaczWilliamsburg Dragons (Brk)RW2011/19/1998No181 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm489,904$0$0$No
Mike Venditti (Sur la Masse Salariale)Williamsburg Dragons (Brk)C309/6/1988No240 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Nick SolowayWilliamsburg Dragons (Brk)D184/7/2000Yes170 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm564,423$0$0$No
Owen McAvoyWilliamsburg Dragons (Brk)C248/5/1994No208 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm200,000$0$0$No
Pete LipsonWilliamsburg Dragons (Brk)G271/22/1992No207 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm363,000$0$0$No
Preston GaubertWilliamsburg Dragons (Brk)D219/3/1997No199 Lbs6 ft7NoNoNo2Contrat d'EntréePro & Farm243,222$0$0$No
Ralph FreedmanWilliamsburg Dragons (Brk)RW339/30/1985No229 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm400,000$0$0$No
Randy AlcornWilliamsburg Dragons (Brk)G242/13/1995No159 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm219,023$0$0$No
Raymond HaagWilliamsburg Dragons (Brk)RW333/29/1985No225 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm425,000$0$0$No
Seth KrohnWilliamsburg Dragons (Brk)C191/24/2000Yes179 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm271,511$0$0$No
Stewart GoldsbyWilliamsburg Dragons (Brk)LW2211/13/1996No186 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm247,030$0$0$No
Taylor WalkerWilliamsburg Dragons (Brk)RW223/19/1996No200 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm392,452$0$0$No
Tony McNeilWilliamsburg Dragons (Brk)RW366/30/1982No221 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm450,000$0$0$No
Wyatt Higgins (Sur la Masse Salariale)Williamsburg Dragons (Brk)D2012/4/1998Yes227 Lbs6 ft7NoNoNo4Contrat d'EntréePro & Farm280,217$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3723.57197 Lbs6 ft41.95304,629$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Stewart GoldsbySeth KrohnMihaly Racz40122
2Chase MartinDoug SlagerGregg Viney30122
3Ben LongwellCharlie GoyaRaymond Haag20122
4Blake MillerStewart GoldsbyRalph Freedman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Soloway40122
2Kirby TylerDylan Herdes30122
3Jordan NihartCarey Naylor20122
4Nick Soloway10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Stewart GoldsbySeth KrohnMihaly Racz60122
2Chase MartinDoug SlagerGregg Viney40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Soloway60122
2Kirby TylerDylan Herdes40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Stewart GoldsbyMihaly Racz60122
2Gregg VineyRaymond Haag40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Soloway60122
2Kirby TylerDylan Herdes40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Stewart Goldsby60122Nick Soloway60122
2Mihaly Racz40122Kirby TylerDylan Herdes40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Stewart GoldsbyMihaly Racz60122
2Gregg VineyRaymond Haag40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Soloway60122
2Kirby TylerDylan Herdes40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Stewart GoldsbySeth KrohnMihaly RaczNick Soloway
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Stewart GoldsbySeth KrohnMihaly RaczNick Soloway
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Taylor Walker, Ralph Freedman, Ben LongwellTaylor Walker, Ralph FreedmanBen Longwell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Nihart, Carey Naylor, Kirby TylerJordan NihartCarey Naylor, Kirby Tyler
Tirs de Pénalité
Stewart Goldsby, Mihaly Racz, Gregg Viney, Raymond Haag, Ralph Freedman
Gardien
#1 : Dane Brevig, #2 : Pete Lipson


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 TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 Matchs
WLOTWOTL T
00000
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
40 0 - 0.00%0$0$3000110

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,672,764$ 2,672,764$ 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$ 14 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
1680333763100278281-340171921100140141-140161842000138140-2722784537313173117853264788493281417249086253716572746724.45%2615977.39%11014197651.32%1021187454.48%672121855.17%163887216597881542751
07-088041257520028524144402011612001491242540211414000136117198928545173625871078652523822873786422378769106219562565320.70%2234480.27%7936184750.68%862175149.23%671125453.51%158474315368131728865
08-09803629834002952781740221150200150133174014183320014514508029548177602761141023241678583178614245581167115632215123.08%1933880.31%10790170946.23%842176147.81%644130649.31%1534716369819761777890
09-1080293856200261273-1240161624200133135-240132232000128138-1063261414675216998886254978493080629244073563314921993919.60%1824276.92%9894173651.50%839165150.82%681127453.45%1534731575230541760865
10-11804025807002822532940238504001541203440171730300128133-5882824617435278115890256485389479324244684937514522085124.52%1484172.30%3936187050.05%855173649.25%555115248.18%159177915317941726868
11-1280253994300276294-1840112342000136158-2240141652300140136459276441717227699974248878682386019262087441914622044220.59%2005970.50%3932180151.75%972187051.98%649118854.63%156576215937991695853
12-1380323493200304318-1440161453200152153-140162040000152165-13733045098131096112933262490392977220279292946814672094923.44%2104578.57%41016190753.28%952194149.05%621124449.92%155476716368021664835
13-148041295140033730532402410303001871474040171921100150158-8873375448813011411610612847110890881615278089344617712103717.62%1934477.20%41102200155.07%992186253.28%722129055.97%165286215877651591802
14-1580372881600328300284019146010016714819401814215001611529823285418691112297108131201184986938122974101439216902174922.58%1532881.70%31203213356.40%1082200054.10%702130653.75%174597816097341505773
15-16803430943003162932340161542300167162540181552000149131187731651883400941229642896107194085530300593340314732295825.33%1823879.12%71109202054.90%1089201354.10%699130053.77%164385816217581593822
16-1780352614320027725225401514920001311229402012512001461301684277462739218597923257991885378622257384960515082567027.34%2515876.89%51005190452.78%899180849.72%625120951.70%161783816727851585793
17-1880322414820026824820401413751001281235401811731001401251578268434702108092888252383784179352259284444514922105526.19%2063483.50%8997179355.61%1023190753.64%632120452.49%157979917037881606808
Total Saison Régulière96041536410241380035073336171480213168582021001794166612848020219644211700171316704393235075709921622151050128611304131776109351074098052963154510362645618983269362123.06%240253077.94%64119342269752.58%114282217451.54%78731494552.68%1924097112560312863197779930