Montpelier Cougars

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Green Mountain Marriott | Morale : 46 | Moyenne d'Équipe : 64
Prochain matchs #2 vs Watertown Bulls
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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
1Byron Saler0X98.759736558268844578598387457099615475720
2Craig Nelligan0X100.0011996474607579697777756299991264700
3Kyle Ancona0X97.509928466277143184839092498499992048700
4Brad Sims0X99.50301996175526073938581538699991654690
5Julius Bourassa0X100.009212866375315268807368807299992367680
6Henry Rosen0X98.5011995681214381988180807499992656680
7Mike Eckrich0X100.007199787375717925880687089593677680
8Jarrett Herzog0X100.007521657471794889855290387090645279670
9Dario Cicale0X100.009110915484456665976064735099971271660
10Colin Soucy0X100.005521936965766360544978605076514327620
11Tim Valtierra0X100.00992847687653492470595176729999768610
12Brody Gulick0X100.007430556676696978223777377099795721610
13Ricky Stenerson0X96.38361699797085454164346977099826621680
14Ron Grennan0X98.001199637963645449626894729999442670
15Stephen Kennefick0X100.00201996678767269705375617099992157650
16Clint Traeger0X100.00376996681728173766277537088753771650
17Morgan Duffy0X100.006830627275787551164643707085613063650
18Clint Creamer0X100.006530727568716941232948717071646221610
Rayé
1Riley Kubiak0X100.00311899657475614414844767098994619590
2Garrett Lever (R)0X100.004726997662797953482883315095845119590
3Austin Lachowski (R)0X100.005726746268815668516773195087376820590
4Sebastian Albertsen0X100.007130956673756849145054477099795220580
5Axel Stigsson (R)0X100.003726777955823058686532625069757020570
6Derian Plouffe (R)0X100.003536746772756153372680575084675120570
7Ryan Kim0X100.004013997374775442183171427080995520560
8Corey Hutchenson0X100.003521996767664654675176227099555720560
9Henry Smith (R)0X100.005326857357756256652571217099885220550
10Brock Maschmeyer0X100.005148886260737251234147755072447419600
11Trent Westenberger0X100.00773252656884514133948677095365020600
MOYENNE D'ÉQUIPE99.61512083687267596150546859669278424163
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
1Darren Bradbury100.00677273767299677574707099961665760
2Blaine Phillips98.00784064707192659977636984995156740
Rayé
1Phillipe Deschamps100.00748369726885857376625086425719720
2Adam Harber (R)100.00658965696091737589665094504920720
3Shayne Caranza100.00676169757082816678636455805820700
MOYENNE D'ÉQUIPE99.6070696872689074787965618473463673
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Dawson83837376667654USA403275,000$


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
Adam HarberMontpelier Cougars (Bur)G201/13/1999Yes158 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm264,138$0$0$No
Austin LachowskiMontpelier Cougars (Bur)RW203/25/1998Yes226 Lbs6 ft7NoNoNo3Contrat d'EntréePro & Farm258,453$0$0$No
Axel StigssonMontpelier Cougars (Bur)LW2012/7/1998Yes165 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm272,055$0$0$No
Blaine PhillipsMontpelier Cougars (Bur)G281/12/1991No166 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm308,550$0$0$No
Brad SimsMontpelier Cougars (Bur)C3611/10/1982No206 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Brock MaschmeyerMontpelier Cougars (Bur)D267/31/1992No191 Lbs5 ft7NoNoNo2Avec RestrictionPro & Farm257,936$0$0$No
Brody GulickMontpelier Cougars (Bur)C224/20/1996No204 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm302,303$0$0$No
Byron SalerMontpelier Cougars (Bur)LW2412/9/1994No155 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm600,000$0$0$No
Clint CreamerMontpelier Cougars (Bur)D205/5/1998No177 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm243,064$0$0$No
Clint TraegerMontpelier Cougars (Bur)D2312/16/1995No213 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm333,333$0$0$No
Colin SoucyMontpelier Cougars (Bur)LW2010/10/1998No192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm340,553$0$0$No
Corey HutchensonMontpelier Cougars (Bur)RW211/8/1998No198 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm236,011$0$0$No
Craig NelliganMontpelier Cougars (Bur)LW379/15/1981No197 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm550,000$0$0$No
Dario CicaleMontpelier Cougars (Bur)C298/20/1989No246 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm382,500$0$0$No
Darren BradburyMontpelier Cougars (Bur)G2911/22/1989No195 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm700,000$0$0$No
Derian PlouffeMontpelier Cougars (Bur)RW241/15/1995Yes187 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm250,440$0$0$No
Garrett LeverMontpelier Cougars (Bur)RW198/27/1999Yes191 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm299,865$0$0$No
Henry RosenMontpelier Cougars (Bur)RW349/19/1984No232 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm350,000$0$0$No
Henry SmithMontpelier Cougars (Bur)LW213/26/1997Yes181 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm244,179$0$0$No
Jarrett HerzogMontpelier Cougars (Bur)LW2111/10/1997No189 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm269,443$0$0$No
Julius BourassaMontpelier Cougars (Bur)C356/20/1983No204 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm600,000$0$0$No
Kyle AnconaMontpelier Cougars (Bur)LW356/24/1983No213 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Mike EckrichMontpelier Cougars (Bur)RW246/4/1994No173 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm277,500$0$0$No
Morgan DuffyMontpelier Cougars (Bur)D2112/26/1997No184 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm255,856$0$0$No
Phillipe DeschampsMontpelier Cougars (Bur)G195/27/1999No166 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm250,195$0$0$No
Ricky StenersonMontpelier Cougars (Bur)D218/11/1997No176 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm328,776$0$0$No
Riley KubiakMontpelier Cougars (Bur)RW232/22/1995No202 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm210,000$0$0$No
Ron GrennanMontpelier Cougars (Bur)D297/6/1989No215 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm455,000$0$0$No
Ryan KimMontpelier Cougars (Bur)LW227/3/1996No188 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm222,072$0$0$No
Sebastian AlbertsenMontpelier Cougars (Bur)RW2512/22/1993No193 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm215,000$0$0$No
Shayne CaranzaMontpelier Cougars (Bur)G228/17/1996No189 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm230,111$0$0$No
Stephen KennefickMontpelier Cougars (Bur)D247/9/1994No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm321,750$0$0$No
Tim ValtierraMontpelier Cougars (Bur)RW283/3/1990No196 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm325,000$0$0$No
Trent WestenbergerMontpelier Cougars (Bur)D205/12/1998No214 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm243,940$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3424.76194 Lbs6 ft22.12335,236$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Byron SalerBrad SimsHenry Rosen40122
2Kyle AnconaJulius BourassaMike Eckrich30122
3Craig NelliganDario CicaleTim Valtierra20122
4Jarrett HerzogBrody GulickByron Saler10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ricky StenersonRon Grennan40122
2Clint TraegerMorgan Duffy30122
3Stephen KennefickClint Creamer20122
4Ricky StenersonRon Grennan10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Byron SalerBrad SimsHenry Rosen60122
2Kyle AnconaJulius BourassaMike Eckrich40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ricky StenersonRon Grennan60122
2Clint TraegerMorgan Duffy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Byron SalerKyle Ancona60122
2Craig NelliganHenry Rosen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ricky StenersonRon Grennan60122
2Clint TraegerMorgan Duffy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Byron Saler60122Ricky StenersonRon Grennan60122
2Kyle Ancona40122Clint TraegerMorgan Duffy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Byron SalerKyle Ancona60122
2Craig NelliganHenry Rosen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ricky StenersonRon Grennan60122
2Clint TraegerMorgan Duffy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Byron SalerBrad SimsHenry RosenRicky StenersonRon Grennan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Byron SalerBrad SimsHenry RosenRicky StenersonRon Grennan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin Soucy, Jarrett Herzog, Dario CicaleColin Soucy, Jarrett HerzogDario Cicale
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Stephen Kennefick, Clint Creamer, Clint TraegerStephen KennefickClint Creamer, Clint Traeger
Tirs de Pénalité
Byron Saler, Kyle Ancona, Craig Nelligan, Henry Rosen, Brad Sims
Gardien
#1 : Blaine Phillips, #2 : Darren Bradbury


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
1 - 2019-09-022Montpelier Cougars-Watertown Bulls-
3 - 2019-09-0410Montpelier Cougars-Watertown Bulls-
5 - 2019-09-0618Watertown Bulls-Montpelier Cougars-
7 - 2019-09-0826Watertown Bulls-Montpelier Cougars-
9 - 2019-09-1034Montpelier Cougars-Watertown Bulls-
11 - 2019-09-1242Watertown Bulls-Montpelier Cougars-
13 - 2019-09-1450Montpelier Cougars-Watertown Bulls-



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$ 2,849,506$ 2,849,506$ 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
1680313075700282287-540141734200135145-1040171341500147142569282458740418898915254887483182023249184630115852885619.44%1493179.19%51067189356.37%1049185856.46%665120655.14%170592016047521555813
07-0880333961100256265-940172111000130130040161850100126135-97225640766301651058512186692766716122362785117015902155123.72%2454980.00%12864165952.08%753156848.02%612125448.80%148767315778311765873
08-0980343084400287295-840171731200147156-94017135320014013917628746675301691041104232369782976730250682954915712165525.46%1974477.66%7820166349.31%836163751.07%662132949.81%1517689343718151781903
09-1080283486400290305-1540141861100143146-340141625300147159-12642904607500173113986278183797294527252388958618092224419.82%1734176.30%5916182050.33%783166746.97%673136249.41%1594782524527751733858
10-1180332711450026925910402211511001411251640111663400128134-67726942969815541051064259581290484633253384351417311903116.32%1944974.74%5943182651.64%990192551.43%605116052.16%157477215818171708842
11-128041275340031728235402413111001631333040171442300154149587317529846209611610233041109799893016283689436217472165826.85%1854078.38%41099208752.66%1004201849.75%662129351.20%170393815807601551768
12-13803031124300271288-1740141563200135147-1240161661100136141-5722714467172281100864271793892282037268786955016982134822.54%2264281.42%6932195047.79%990198349.92%574118448.48%162583216037991643812
13-14802929136300312316-440131663200147161-1440161373100165155107131250581740123978662907113591482632277289846215451985025.25%2114877.25%61071200853.34%1032200851.39%670131051.15%162984316117841642825
14-15803130134200315320-540151392100157160-340161742100158160-2753155128271090118103430111038104590226301996350217172415924.48%2054876.59%91081214250.47%1059210150.40%672132150.87%166088516587631551781
15-168038286530033429935402115040001721373540171361300162162082334548882101111101085315211611085877293015104256616372324820.69%2364780.08%41164217753.47%1059211650.05%667130551.11%163687516697691537758
16-1780303981200281308-2740181660000146139740122321200135169-3468281450731308696981267396486582915269192734615672505722.80%1543676.62%5901195346.13%772172844.68%620129048.06%165890116757501515758
17-18803134573002782744401716331001461301640141824200132144-1267278462740018591957257587781186324266781637215842395221.76%1743182.18%3861190045.32%775171545.19%578123646.76%162385916737631546775
Total Saison Régulière96038937810250410034923498-64802061884924130017621709534801831905326280017301789-59880349256729164181210211253116850325091112210942101413043210210601628019781272060922.39%234950678.46%71117192307850.78%111022232449.73%76601525050.23%1941599752492012383195339771