Pawtucket Reds

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Shawmut Partnership | Morale : 40 | Moyenne d'Équipe : 64
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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
1Dylan Tamargo0X98.005317997274796949456858975099886168690
2Tommy Kropp0X100.009951496486858660104360777099744153660
3Brendan Kerl0X99.504626796775768757747971457088782775660
4Todd Alves0X100.006440677277817367235473657084694068660
5Owen Wiesehan0X100.003319877669825574686390555074386558660
6Toby Wellons (R)0X100.008626616864825471134980635092924566660
7Nick Fogler0X100.007543737264776860696441785084738539640
8Louis-Phillippe Gagne (R)0X100.006732696962826058357374595095385650640
9Russ Danzer0X100.00211996481725672394757767099992424630
10Greg Van Roekel0X100.005046627966767333505183427095773723600
11Devin Resch (R)0X100.003926997659716673157951235098476818590
12Ty Goldthwait0X99.509422566078526957204440783799991065670
13Devin Conness0X99.00235997376798561265673707094953364670
14Wayne Andrews0X100.006130527574816855266864467089914174650
15Niall Henry0X100.00426998275668163575764577099563561640
16Brandon Ainsley0X100.008632487280687154754160567099673029620
17Darin Pooley0X100.005918866865746248234432765094406919610
18Adam Climes0X100.004121877664745627283544717078903919600
Rayé
1Brandon Oard0X79.509918446679767356377587627097903146700
2Morgan Patadia0X70.20163997675674558586060647078505011600
3Reed Wethern0X100.007536586579786961213458667087474720590
4Max Lones0X100.003734256183765136295153897099674920590
5Zach Perruzzi0X100.006121776670776855422165657093795120590
6Brady Nothum (R)0X100.005130886450824981243177615070386019590
7Jonas Snay0X100.003621997761826468454933597073786920580
8Ryley Devinney0X100.002818997663786151735076377076415120580
9Anton Hessel (R)0X100.00402699696082616084360545061965320580
10Patrick Wasiuta0X100.004314987565707846795543505082716620570
11Christopher Reif0X100.004310997369696024535875237094883920560
12Darren Febbo0X77.377013896878666537294128873699993445670
13Zach Todd (R)0X100.008427525639753858593665655095906120600
MOYENNE D'ÉQUIPE97.52562477707075655640526162618972473862
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
1Brent Labuda100.00849583697985748369707968904666770
2Derick Brigman100.00746780747682889155597172835759740
Rayé
1Drew Payne100.00657870736974736785656399994319730
2Connor Haislip (R)100.00609489736096668983465057675820720
3Will Kohlhoff100.00696676847693286355637199993120690
MOYENNE D'ÉQUIPE100.0070808075728666796961677988473773
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cameron Renfrew58739375586852CAN421270,000$


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 ClimesPawtucket Reds (Pro)D2112/20/1997No184 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm245,376$0$0$No
Anton HesselPawtucket Reds (Pro)RW1910/7/1999Yes192 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm260,003$0$0$No
Brady NothumPawtucket Reds (Pro)LW184/11/2000Yes205 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm251,177$0$0$No
Brandon AinsleyPawtucket Reds (Pro)D237/23/1995No199 Lbs6 ft7NoNoNo2Avec RestrictionPro & Farm316,936$0$0$No
Brandon Oard (Sur la Masse Salariale)Pawtucket Reds (Pro)LW231/19/1996No210 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm528,000$0$0$No
Brendan KerlPawtucket Reds (Pro)C228/20/1996No193 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm407,596$0$0$No
Brent LabudaPawtucket Reds (Pro)G242/19/1994No157 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm260,000$0$0$No
Christopher ReifPawtucket Reds (Pro)C215/22/1997No179 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm223,163$0$0$No
Connor HaislipPawtucket Reds (Pro)G191/14/2000Yes180 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm273,688$0$0$No
Darin PooleyPawtucket Reds (Pro)D195/13/1999No202 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm261,037$0$0$No
Darren Febbo (Sur la Masse Salariale)Pawtucket Reds (Pro)D2812/3/1990No207 Lbs6 ft7NoNoNo1Sans RestrictionPro & Farm482,500$0$0$No
Derick BrigmanPawtucket Reds (Pro)G222/3/1997No177 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm258,425$0$0$No
Devin ConnessPawtucket Reds (Pro)D213/21/1997No187 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm398,510$0$0$No
Devin ReschPawtucket Reds (Pro)LW198/16/1999Yes189 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm293,820$0$0$No
Drew PaynePawtucket Reds (Pro)G302/19/1988No192 Lbs5 ft9NoNoNo2Sans RestrictionPro & Farm330,000$0$0$No
Dylan TamargoPawtucket Reds (Pro)LW2112/28/1997No173 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm345,709$0$0$No
Greg Van RoekelPawtucket Reds (Pro)LW217/1/1997No167 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm257,912$0$0$No
Jonas SnayPawtucket Reds (Pro)RW213/24/1997No172 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm274,776$0$0$No
Louis-Phillippe GagnePawtucket Reds (Pro)RW184/4/2000Yes197 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm349,495$0$0$No
Max LonesPawtucket Reds (Pro)RW2212/4/1996No236 Lbs6 ft10NoNoNo1Contrat d'EntréePro & Farm261,050$0$0$No
Morgan Patadia (Sur la Masse Salariale)Pawtucket Reds (Pro)LW2411/24/1994No183 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm240,000$0$0$No
Niall HenryPawtucket Reds (Pro)D249/24/1994No172 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm305,250$0$0$No
Nick FoglerPawtucket Reds (Pro)C201/25/1999No192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm353,966$0$0$No
Owen WiesehanPawtucket Reds (Pro)RW2012/28/1998No193 Lbs6 ft8NoNoNo3Contrat d'EntréePro & Farm449,519$0$0$No
Patrick WasiutaPawtucket Reds (Pro)LW206/10/1998No176 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm237,170$0$0$No
Reed WethernPawtucket Reds (Pro)RW2310/7/1995No211 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm303,914$0$0$No
Russ DanzerPawtucket Reds (Pro)C258/20/1993No215 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm335,775$0$0$No
Ryley DevinneyPawtucket Reds (Pro)C211/17/1998No182 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm251,668$0$0$No
Toby WellonsPawtucket Reds (Pro)C183/14/2000Yes203 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm442,788$0$0$No
Todd AlvesPawtucket Reds (Pro)RW227/20/1996No193 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm336,262$0$0$No
Tommy KroppPawtucket Reds (Pro)RW235/7/1995No230 Lbs6 ft9NoNoNo1Avec RestrictionPro & Farm460,000$0$0$No
Ty GoldthwaitPawtucket Reds (Pro)D306/1/1988No217 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm425,000$0$0$No
Wayne AndrewsPawtucket Reds (Pro)D224/17/1996No179 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm333,333$0$0$No
Will KohlhoffPawtucket Reds (Pro)G295/5/1989No213 Lbs6 ft9NoNoNo1Sans RestrictionPro & Farm225,000$0$0$No
Zach PerruzziPawtucket Reds (Pro)C2212/20/1996No201 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm231,241$0$0$No
Zach ToddPawtucket Reds (Pro)D261/24/1993Yes180 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm244,898$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3622.25193 Lbs6 ft42.11318,193$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan TamargoBrendan KerlOwen Wiesehan40122
2Greg Van RoekelToby WellonsTodd Alves30122
3Devin ReschNick FoglerTommy Kropp20122
4Dylan TamargoRuss DanzerLouis-Phillippe Gagne10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin ConnessTy Goldthwait40122
2Wayne AndrewsNiall Henry30122
3Brandon AinsleyDarin Pooley20122
4Adam ClimesDevin Conness10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan TamargoBrendan KerlOwen Wiesehan60122
2Greg Van RoekelToby WellonsTodd Alves40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin ConnessTy Goldthwait60122
2Wayne AndrewsNiall Henry40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dylan TamargoOwen Wiesehan60122
2Brendan KerlTodd Alves40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin ConnessTy Goldthwait60122
2Wayne AndrewsNiall Henry40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dylan Tamargo60122Devin ConnessTy Goldthwait60122
2Owen Wiesehan40122Wayne AndrewsNiall Henry40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan TamargoOwen Wiesehan60122
2Brendan KerlTodd Alves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin ConnessTy Goldthwait60122
2Wayne AndrewsNiall Henry40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan TamargoBrendan KerlOwen WiesehanDevin ConnessTy Goldthwait
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan TamargoBrendan KerlOwen WiesehanDevin ConnessTy Goldthwait
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tommy Kropp, Nick Fogler, Louis-Phillippe GagneTommy Kropp, Nick FoglerLouis-Phillippe Gagne
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Ainsley, Darin Pooley, Adam ClimesBrandon AinsleyDarin Pooley, Adam Climes
Tirs de Pénalité
Dylan Tamargo, Owen Wiesehan, Brendan Kerl, Todd Alves, Tommy Kropp
Gardien
#1 : Brent Labuda, #2 : Derick Brigman


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$ 2,551,114$ 2,551,114$ 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
16802834104400272285-1340121861300128150-2240161643100144135966272459731017495994265789686887221247582664414742998327.76%3217078.19%71081201053.78%982189651.79%710126855.99%166388416327801571773
07-0880314204300231259-2840151903300112123-1140162301000119136-17622313675980475747842062735697620102303773191815892283716.23%2926876.71%14699156844.58%773169545.60%560124045.16%146564015508511794874
08-0980284242400247294-4740142311100129157-2840141931300118137-19602473916381357100882215365076771521237677790715841913518.32%2835979.15%8718158145.41%795177544.79%557125244.49%1451632332018001796876
09-10802834103500237266-2940171832000124132-840111671500113134-2166237389626117392693223874173173630248480248915962034220.69%1854675.14%7721154846.58%785169946.20%561125344.77%1504679506927331805903
10-1180293497100284277740121972000138151-13401715251001461262067284470754438594987250385880181034252087134117271864725.27%1353375.56%3751176542.55%755180541.83%496113943.55%153573515838191737854
11-1280343361600288292-4402213302001441152940122031400144177-33742884687561193891051267592386887212267588242914812044522.06%1854774.59%4918186549.22%979194250.41%606119350.80%154575716318091665826
12-13803129965002712710402010532001401202040111943300131151-2071271448719229091846258690583081833267084938214182055426.34%1784375.84%4883190446.38%915193347.34%572114649.91%159578315687871697866
13-14803628664003313022940201331300164147174016153510016715512783315468772011010610962977113091990622287796753916582184822.02%1954079.49%7980211146.42%920209443.94%618131646.96%167490516127581557775
14-158043249310037130764402115310001841582640229621001871493895371597968001391121173301910851031886172994100574517512034823.65%2775879.06%41025202850.54%1093225448.49%696137850.51%167992216527621514749
15-1680303492500307330-2340151841200157170-1340151651300150160-106930750681320981169122895106691589024298196856516222294720.52%2825879.43%111015200650.60%1135226650.09%697137850.58%166188716627661536771
16-1780263783600269299-304017155120014914724092232400120152-32602694557243084811013260292679187015257681074614992556425.10%2866278.32%6978186852.36%975193250.47%625123050.81%165386716287641579798
17-1880284053400256287-314019163110013713074092422300119157-3861256418674427586923243982880979210246778853214942204821.82%2436274.49%6999179255.75%1018198651.26%623119052.35%164286116107671588807
Total Saison Régulière9603724118544480033643469-105480204197431719001706170064801682144227290016581769-11182933645514887820171053113611314430806107431002797872493139810318823718893264159822.64%286264677.43%81107682204648.84%111252327747.79%73211498348.86%1907295562452212402198429878