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OTHL - Bruins 

Bruins
GP: 7 | W: 3 | L: 4
GF: 12 | GA: 14 | PP%: 3.13% | PK%: 85.45%
DG: Chris | Morale : 50 | Moyenne d'Équipe : 58
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Gabriel Bourque (C)XX100.0089469575725271573558566641697163506203011,400,000$
2Anthony AngelloX100.007679696679747858734963646044446350610252833,750$
3Nathan WalkerX100.006862826462717362505566616344456450600272700,000$
4Kole SherwoodX100.0072746665746670535043596056444458505702411,000,000$
5Jens LookeXX100.007466926566717652504653625047475850570243750,000$
6Gabriel FontaineX100.007771905171586150634746644450505450540243736,667$
7Manuel WiedererXX100.007164866164565852655347604544445550540243736,667$
8Giorgio Estephan (R)X100.007971995271586051644651634844445650540243700,000$
9Jaycob MegnaX100.008586816086738047253641673952525450620282800,000$
10Ben Harpur (A)X100.008185726585616451254439683759595450610262800,000$
11Chris Bigras (A)X100.007571836371606354254941653957575550600261900,000$
12Michael Anderson (R)X100.0076718977716367492541416139444454505902231,775,000$
13Gustav Olofsson (R)X100.007873897273525449254339623744445350580262800,000$
14Devante Stephens (R)X100.007772886772657146253739613744445250580243743,333$
15Jake DotchinX100.007079496579565948253940613856565150570271650,000$
16Ryan CollinsX100.008281845281555748253842644044445350560253880,833$
Rayé
MOYENNE D'ÉQUIPE100.00777282647462665241454863454949565058
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
1Connor Ingram100.00696480767071727773733044447050680
2Matthew Villalta (R)100.00555555555555555555555555555550550
Rayé
MOYENNE D'ÉQUIPE100.0062606866636364666464435050635062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brewer44567174454656CAN342700,000$


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

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# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Lawson CrouseBruinsLW722401201517219299.52%416824.110001260000361038.89%7200100.4700000102
2Gabriel BourqueBruins (BOS)LW/RW71341206572914.29%016223.18000224000035007.69%1300000.4900000100
3Kole SherwoodBruins (BOS)RW730334020122261613.64%112517.9700008000010042.86%700000.4800000110
4Anthony AngelloBruins (BOS)C72132408111232016.67%115422.000001281011251148.72%15600000.3900000100
5Giorgio EstephanBruins (BOS)C721334022811125.00%011816.9100000000001038.46%1300000.5100000010
6Ben HarpurBruins (BOS)D7112112015360316.67%515622.4110132700003600 0.00%000000.2500000000
7Gustav OlofssonBruins (BOS)D70222601351020.00%710314.750000100001700 0.00%000000.3900000010
8Ryan CollinsBruins (BOS)D7022380741000.00%3568.10000000000000 0.00%000000.7100000000
9Nathan WalkerBruins (BOS)LW702214077135230.00%115622.340110260000320055.56%900000.2600000000
10Michael AndersonBruins (BOS)D7011-2601344220.00%514420.6500032401103400 0.00%000000.1400000000
11Gabriel FontaineBruins (BOS)C70112403168170.00%212918.55000130000130051.11%9000000.1500000000
12Jens LookeBruins (BOS)LW/RW7101080151115466.67%114921.310003250000210040.00%2000000.1300000000
13Manuel WiedererBruins (BOS)C/RW70112408156250.00%012517.88000124000010048.44%12800000.1600000000
14Devante StephensBruins (BOS)D7011360955010.00%710114.43000140000400 0.00%000000.2000000000
15Jake DotchinBruins (BOS)D7011360905000.00%18412.040000400011700 0.00%000000.2400000001
16Jaycob MegnaBruins (BOS)D701111551446020.00%616223.2801122900003900 0.00%000000.1200010000
17Chris BigrasBruins (BOS)D7000-12351657030.00%512918.4300042300002800 0.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1191220322412810180126147351398.16%49222818.731232228211223463146.06%50800100.2900010433
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

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# 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
1Connor IngramBruins (BOS)73400.9031.814640114145010 0.000070100
Stats d'équipe Total ou en Moyenne73400.9031.814640114145010 0.000070100


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anthony AngelloBruins (BOS)C251996-03-06No209 Lbs6 ft5NoNoNo2Pro & Farm833,750$0$0$No833,750$Lien / Lien NHL
Ben HarpurBruins (BOS)D261995-01-12No222 Lbs6 ft6NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Chris BigrasBruins (BOS)D261995-02-22No190 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Connor IngramBruins (BOS)G241997-03-31No204 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Devante StephensBruins (BOS)D241997-01-02Yes190 Lbs6 ft2NoNoNo3Pro & Farm743,333$0$0$No743,333$743,333$Lien / Lien NHL
Gabriel BourqueBruins (BOS)LW/RW301990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm1,400,000$0$0$NoLien / Lien NHL
Gabriel FontaineBruins (BOS)C241997-04-30No191 Lbs6 ft1NoNoNo3Pro & Farm736,667$0$0$No736,667$736,667$Lien / Lien NHL
Giorgio EstephanBruins (BOS)C241997-02-03Yes196 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Gustav OlofssonBruins (BOS)D261994-12-01Yes194 Lbs6 ft3NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Jake DotchinBruins (BOS)D271994-03-24No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Jaycob MegnaBruins (BOS)D281992-12-10No225 Lbs6 ft6NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Jens LookeBruins (BOS)LW/RW241997-04-11No180 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Kole SherwoodBruins (BOS)RW241997-01-22No201 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Manuel WiedererBruins (BOS)C/RW241996-11-21No170 Lbs6 ft0NoNoNo3Pro & Farm736,667$0$0$No736,667$736,667$Lien / Lien NHL
Matthew VillaltaBruins (BOS)G221999-06-03 12:28:47 PMYes187 Lbs6 ft4NoNoNo2Pro & Farm778,333$0$0$No778,333$
Michael AndersonBruins (BOS)D221999-05-25Yes196 Lbs6 ft0NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Nathan WalkerBruins (BOS)LW271994-02-06No175 Lbs5 ft9NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Ryan CollinsBruins (BOS)D251996-05-06No212 Lbs6 ft5NoNoNo3Pro & Farm880,833$0$0$No880,833$880,833$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1825.11198 Lbs6 ft22.22883,866$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony AngelloGabriel Bourque40023
2Nathan WalkerManuel WiedererJens Looke30032
3Giorgio EstephanGabriel FontaineKole Sherwood20032
4Giorgio EstephanGabriel Bourque10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaBen Harpur40122
2Chris BigrasMichael Anderson30122
3Devante StephensGustav Olofsson20122
4Jake DotchinRyan Collins10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony AngelloGabriel Bourque60122
2Nathan WalkerManuel WiedererJens Looke40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaBen Harpur60122
2Chris BigrasMichael Anderson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel Bourque60122
2Anthony AngelloNathan Walker40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaBen Harpur60122
2Chris BigrasMichael Anderson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jaycob MegnaBen Harpur60122
2Gabriel Bourque40122Chris BigrasMichael Anderson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel Bourque60122
2Anthony AngelloNathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaBen Harpur60122
2Chris BigrasMichael Anderson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony AngelloGabriel BourqueJaycob MegnaBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony AngelloGabriel BourqueJaycob MegnaBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kole Sherwood, Gabriel Fontaine, Jens LookeKole Sherwood, Gabriel FontaineJens Looke
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Devante Stephens, Gustav Olofsson, Jake DotchinDevante StephensGustav Olofsson, Jake Dotchin
Tirs de Pénalité
, Gabriel Bourque, Anthony Angello, Nathan Walker, Jens Looke
Gardien
#1 : Connor Ingram, #2 : Matthew Villalta
Lignes d'Attaque Perso. en Prol.
, Gabriel Bourque, Anthony Angello, Nathan Walker, Jens Looke, Kole Sherwood, Kole Sherwood, Manuel Wiederer, Gabriel Fontaine, Giorgio Estephan,
Lignes de Défense Perso. en Prol.
Jaycob Megna, Ben Harpur, Chris Bigras, Michael Anderson, Devante Stephens


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
1Thunderbirds734000001214-23300000084440400000410-660.42912203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446
Total734000001214-23300000084440400000410-660.42912203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446
_Since Last GM Reset734000001214-23300000084440400000410-660.42912203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446
_Vs Conference734000001214-23300000084440400000410-660.42912203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L11220321471454912818001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
330000084
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4040000410
Derniers 10 Matchs
WLOTWOTL SOWSOL
142000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3213.13%55885.45%1
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
553741144332
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
10119152.88%9221542.79%4110240.20%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172117198559446


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 - 2020-10-242Bruins1Thunderbirds2LSommaire du Match
3 - 2020-10-2610Bruins1Thunderbirds2LSommaire du Match
5 - 2020-10-2818Thunderbirds0Bruins2WSommaire du Match
7 - 2020-10-3026Thunderbirds1Bruins2WXSommaire du Match
9 - 2020-11-0134Bruins2Thunderbirds4LSommaire du Match
11 - 2020-11-0342Thunderbirds3Bruins4WXSommaire du Match
13 - 2020-11-0550Bruins0Thunderbirds2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets1000
Assistance3,3433,000
Assistance PCT55.72%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
38 2114 - 70.48% 111,433$334,300$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,590,958$ 1,505,958$ 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
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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
20208242290243226517095412213022021377859412016002301289236100265482747015108827092019673678656291451423121717963155417.14%5156986.60%131385228060.75%1154206155.99%735120860.84%233016821642527986541
Total Saison Régulière8242290243226517095412213022021377859412016002301289236100265482747015108827092019673678656291451423121717963155417.14%5156986.60%131385228060.75%1154206155.99%735120860.84%233016821642527986541
2020734000001214-23300000084440400000410-6612203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446
Total Séries734000001214-23300000084440400000410-6612203201433214755374114145491281803213.13%55885.45%110119152.88%9221542.79%4110240.20%172117198559446