Watertown Bulls

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: John Burlingame | Morale : 62 | Moyenne d'Équipe : 64
Prochain matchs #2 vs Montpelier Cougars
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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
1Josh Stommes0X100.00171996978799057755675887099833684690
2Adam Tuttle0X98.5011996479264779737877666899992783670
3Byron McChriston0X100.0011997572928565155178669999992682670
4Jayden Shetley0X99.008524646678798648345475727097945077670
5Lee Buesing0X100.009149266780714380507973347077885877660
6Brent Strauss0X100.005617977272777230415565937081834282650
7Jim Schofield (R)0X100.008136997368775272176841605090997934640
8Greg Brown0X100.0019299727768746596460507099643535620
9Owen Buckley0X100.0092996286738166386975297099553535620
10Max Snow (R)0X100.005826997063864673847749457098444248620
11Scott Pospisil0X100.009925525978577748943151845099993718610
12Troy Wooldridge0X98.2511995481465884576575945099881481670
13Tyler Sund0X100.009934387174858930534842555099993077660
14Cody Beck (R)0X100.006832607459795258144749735078664681640
15Steven Hoshaw0X100.002811996568686732143550865069994541620
16Andrew Bergman0X100.004618827270806046174643755086424640620
Rayé
1Don Hedeen9X95.7511996569283088479297649999973158710
2Ed Pote0X95.0017199597822448699938254779999541690
3Grayson McClaren0X100.00972761687753484736585569619987229610
4Clayton Ross0X100.0037399707661875915963487092662816610
5Chris Stehlik (R)0X100.00552685786180487173437155507059559610
6Randy Meres (R)0X100.004426796861736963382993595079426620600
7Travis Dobbins0X100.004313966380777949114656707089426320590
8Rory Skibinski0X100.00539736775728958605960297098615020590
9Paul Antoniewicz0X100.004921688060713669332047887075695120580
10Jose-Antoine Bergeron0X100.003115896873748447264650527086815820570
11Jordan Budnik (R)0X100.003226996562766556423067625090555420570
12Rick Zettler0X89.133017997375754076284555957080855158690
13Alex Ketola46X94.5011996184525080366981966699702578680
14Josh Monk0X100.007620734960734882187972485060625716610
15Scot Daehler0X100.003824847070757239203732667070974919600
16Michel Jiron0X100.00523358696688563684035707085556618600
17Josh Elvington0X100.003715766669726926123836805088416820590
MOYENNE D'ÉQUIPE99.09441783677269636039556266648975444463
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
1Neal Velarde99.00736983737785868386697051923652770
2Ryan Grossack98.00656471817387887882608979914287760
Rayé
1Cory Kleinfelder100.00716361686797727159657099935119720
2Dylan Wallgren100.00708877737373656258706489894320700
MOYENNE D'ÉQUIPE99.2570717374738678747166738091434574
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Jackson83897277699966USA471255,000$


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 TuttleWatertown Bulls (Syr)RW3411/28/1984No211 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm425,000$0$0$No
Alex Ketola (Sur la Masse Salariale)Watertown Bulls (Syr)D297/21/1989No234 Lbs6 ft7NoNoNo1Sans RestrictionPro & Farm396,000$0$0$No
Andrew BergmanWatertown Bulls (Syr)D193/16/1999No204 Lbs6 ft9NoNoNo3Contrat d'EntréePro & Farm277,496$0$0$No
Brent StraussWatertown Bulls (Syr)RW204/21/1998No186 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm427,043$0$0$No
Byron McChristonWatertown Bulls (Syr)LW285/21/1990No178 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm400,000$0$0$No
Chris StehlikWatertown Bulls (Syr)C184/12/2000Yes169 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm264,655$0$0$No
Clayton RossWatertown Bulls (Syr)C2311/22/1995No190 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm272,500$0$0$No
Cody BeckWatertown Bulls (Syr)D1911/6/1999Yes184 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm369,615$0$0$No
Cory KleinfelderWatertown Bulls (Syr)G271/6/1992No168 Lbs5 ft7NoNoNo1Avec RestrictionPro & Farm275,000$0$0$No
Don HedeenWatertown Bulls (Syr)LW2912/1/1989No183 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm691,200$0$0$No
Dylan WallgrenWatertown Bulls (Syr)G257/18/1993No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm233,192$0$0$No
Ed Pote (Sur la Masse Salariale)Watertown Bulls (Syr)C311/31/1988No221 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm510,000$0$0$No
Grayson McClarenWatertown Bulls (Syr)C264/24/1992No202 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm315,000$0$0$No
Greg BrownWatertown Bulls (Syr)RW234/7/1995No194 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm265,750$0$0$No
Jayden ShetleyWatertown Bulls (Syr)RW228/20/1996No208 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm410,625$0$0$No
Jim SchofieldWatertown Bulls (Syr)C185/7/2000Yes213 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm419,231$0$0$No
Jordan BudnikWatertown Bulls (Syr)LW194/5/1999Yes206 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm247,052$0$0$No
Jose-Antoine BergeronWatertown Bulls (Syr)RW213/18/1997No191 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm218,435$0$0$No
Josh ElvingtonWatertown Bulls (Syr)D2112/16/1997No201 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm237,402$0$0$No
Josh MonkWatertown Bulls (Syr)D264/5/1992No188 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm254,123$0$0$No
Josh StommesWatertown Bulls (Syr)C255/25/1993No202 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm525,000$0$0$No
Lee BuesingWatertown Bulls (Syr)C215/20/1997No208 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm250,414$0$0$No
Max SnowWatertown Bulls (Syr)LW195/2/1999Yes200 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm304,702$0$0$No
Michel JironWatertown Bulls (Syr)D218/29/1997No199 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm247,770$0$0$No
Neal VelardeWatertown Bulls (Syr)G225/14/1996No184 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm550,000$0$0$No
Owen BuckleyWatertown Bulls (Syr)LW259/24/1993No232 Lbs6 ft8NoNoNo2Avec RestrictionPro & Farm260,000$0$0$No
Paul AntoniewiczWatertown Bulls (Syr)C2112/25/1997No166 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm266,206$0$0$No
Randy MeresWatertown Bulls (Syr)C1912/16/1999Yes195 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm253,387$0$0$No
Rick Zettler (Sur la Masse Salariale)Watertown Bulls (Syr)D204/26/1998No196 Lbs6 ft7NoNoNo2Contrat d'EntréePro & Farm278,576$0$0$No
Rory SkibinskiWatertown Bulls (Syr)LW215/3/1997No199 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm232,842$0$0$No
Ryan GrossackWatertown Bulls (Syr)G251/21/1994No218 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm270,000$0$0$No
Scot DaehlerWatertown Bulls (Syr)D217/27/1997No193 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm231,467$0$0$No
Scott PospisilWatertown Bulls (Syr)RW301/9/1989No216 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm320,000$0$0$No
Steven HoshawWatertown Bulls (Syr)D283/21/1990No213 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm245,097$0$0$No
Travis DobbinsWatertown Bulls (Syr)RW235/17/1995No216 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm225,000$0$0$No
Troy WooldridgeWatertown Bulls (Syr)D298/1/1989No240 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm450,000$0$0$No
Tyler SundWatertown Bulls (Syr)D279/28/1991No187 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm400,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3723.65199 Lbs6 ft31.95330,264$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Byron McChristonJayden Shetley40122
2Max SnowJosh StommesAdam Tuttle30122
3Owen BuckleyLee BuesingBrent Strauss20122
4Jim SchofieldGreg Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy Wooldridge40122
2Tyler SundCody Beck30122
3Andrew BergmanSteven Hoshaw20122
4Troy Wooldridge10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Byron McChristonJayden Shetley60122
2Max SnowJosh StommesAdam Tuttle40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy Wooldridge60122
2Tyler SundCody Beck40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Josh Stommes60122
2Jayden ShetleyByron McChriston40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy Wooldridge60122
2Tyler SundCody Beck40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Troy Wooldridge60122
2Josh Stommes40122Tyler SundCody Beck40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Josh Stommes60122
2Jayden ShetleyByron McChriston40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy Wooldridge60122
2Tyler SundCody Beck40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Byron McChristonJayden ShetleyTroy Wooldridge
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Byron McChristonJayden ShetleyTroy Wooldridge
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Pospisil, Lee Buesing, Brent StraussScott Pospisil, Lee BuesingBrent Strauss
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Bergman, Steven Hoshaw, Tyler SundAndrew BergmanSteven Hoshaw, Tyler Sund
Tirs de Pénalité
, Josh Stommes, Jayden Shetley, Byron McChriston, Adam Tuttle
Gardien
#1 : Ryan Grossack, #2 : Neal Velarde


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$ 2,886,302$ 2,886,302$ 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
168036281123002712502140219622001461093740151950100125141-1683271443714208495902251791584173526239272337815972985919.80%1673976.65%31124201055.92%947170955.41%645116955.18%172592915727581571809
07-0880244075400257292-354015182320014313494092252200114158-445525741166810631008952237658846707262388754143217642454819.59%2684882.09%7846173548.76%779159048.99%690133451.72%152367915528411780886
08-0980224257400251297-4640102133300114142-2840122124100137155-1849251404655007192817229576478172624241274969116321943417.53%2474980.16%9856163652.32%845165351.12%686129053.18%1532713328617701768875
09-1080412177400300248524022844200163125384019133320013712314893004557550277119977244371492776240240583547915272195926.94%1843083.70%9980170857.38%887167752.89%739129557.07%1565740498826821774892
10-1180303654500309317-8401814332001621461640122221300147171-246530950781613821141094252681186882720251191246315841573924.84%1704573.53%4932175952.98%879171951.13%674122954.84%155876615538171727843
11-1280253866500277313-3640121835200139156-1740132031300138157-19562774447213071971036242380183775728259689051815251953920.00%2245177.23%3849171649.48%856178447.98%574122147.01%156976515778071701847
12-13802334126500304321-174014164420015615154091882300148170-2258304492796201001138562781104790579534275889747517042174822.12%2116569.19%4993197350.33%935192748.52%632128049.38%166186715937861628808
13-1480224067500293333-404081856300139163-2440142211200154170-1650293485778119299957260295786375824289289290715792044522.06%3438974.05%6994189552.45%972198848.89%681128652.95%159780516397921613796
14-1580322410860030429864015105730014514324017145130015915547430448679011104959782859113087782527310994694916881993819.10%2854883.16%71008201050.15%1041213548.76%673130151.73%165089116967781522736
15-16803530744003183081040191532100162152104016154230015615607731851082820109100105430021164959857223112108262616772334619.74%2535379.05%71056210350.21%998207648.07%686129053.18%162486916947711531747
16-178027351422002842795401715620001581411740102080200126138-1268284470754001001097322787103489183725275491767816042365222.03%2935979.86%51018198551.28%977202748.20%689127254.17%163588617227781515736
17-18802732125400248255-740151482100121117440121843300127138-1166248402650107881845244486078376041255183862314932063516.99%3005282.67%61003177156.63%998183854.30%644117554.81%158782617147951574757
Total Saison Régulière96034440010263510034163511-954801861765243230017481679694801582245020280016681832-1647903416550989251471031121411086330916108551037893463373188010435821919374260354220.82%294562878.68%70116592230152.28%111142212350.24%80131514252.92%1923297412459012380197099738