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Monsters

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Pomminville | Morale : 50 | Moyenne d'Équipe : 60
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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
1Juho LammikkoXX100.00693789627976656169645670576563053630
2Otto KoivulaXX100.00753789629093896164595863596163050630
3Lee Stempniak (C)X100.00543593607170615956615862578676050620
4Jayce HawrylukXX100.00744290597273695864565763586563050610
5Tye McGinn (A)X100.00733982558792885456525458547769050610
6Adam BrooksX100.00503789605792885962575952596563050600
7Jack KopackaX100.00653594598082745861565457556163050600
8Nikita ScherbakX100.00593789617974625955575856556764050600
9Gabriel FontaineX100.00643692567894935458555356526362050590
10Josh JoorisX100.00633690547794955354525254537769050590
11Matt GrzelcykX100.00635072686585796630736265546965047650
12Andreas BorgmanX100.00813984637486806230665664526764050640
13Cale Fleury (R)X100.00663690627891876030595658556163050620
14Josh BrownX100.00816372599276615930565766476965050620
15Cody Goloubef (A)X100.00643983607779665930575459467870050610
16Brett LernoutX100.00743787558994955330525159486764050600
17Kale ClagueX100.00543886597090845830605356486163050590
Rayé
1Dmitry SokolovXX100.00533595586691875752565853576163050590
2Brad MorrisonX100.00533692566989835561545357526362050580
3Bokondji ImamaX100.00704467558281755452515356546563050580
4Felix GirardX100.00584177567293915558545153526965050580
5Otto SomppiX100.00633690547978725358525254536163050580
6Ryan BourqueX100.00503886556691875456535258547568050580
7Drake RymshaX100.00574275557278725462535154526163050570
8Skyler McKenzieX100.00523787565987815556545352556163050570
9Ty RonningX100.00543789546378725352515456526362050570
10Brandon CrawleyX100.00654566567889835430555259456362050580
11Gustav BourammanX100.00593692547378725330525155526362050570
MOYENNE D'ÉQUIPE100.0063398558758579574956555853676405060
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
1Antoine Bibeau100.0074757386737274737274736973050650
2Mikhail Berdin100.0078727073777678777678776165049650
Rayé
1Jeremy Helvig100.0073636184727173727173726367050630
2Adam Huska100.0067666489666567666567666367050610
MOYENNE D'ÉQUIPE100.007369678372717372717372646805064
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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'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
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 Type Salaire Actuel Cap 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
Adam BrooksMonsters (CLB)C221996-05-06No180 Lbs5 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Adam HuskaMonsters (CLB)G211997-05-12No227 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Andreas BorgmanMonsters (CLB)D231995-06-18No199 Lbs6 ft0NoNoNo1Pro & Farm1,775,000$0$0$NoLien / Lien NHL
Antoine BibeauMonsters (CLB)G241994-05-01No213 Lbs6 ft3NoNoNo2Pro & Farm675,000$0$0$No675,000$Lien / Lien NHL
Bokondji ImamaMonsters (CLB)LW221996-08-03No221 Lbs6 ft1NoNoNo2Pro & Farm706,667$0$0$No706,667$Lien / Lien NHL
Brad MorrisonMonsters (CLB)C211997-01-04No171 Lbs6 ft0NoNoNo3Pro & Farm743,333$0$0$No743,333$743,333$Lien / Lien NHL
Brandon CrawleyMonsters (CLB)D211997-02-02No204 Lbs6 ft1NoNoNo2Pro & Farm866,666$0$0$No866,666$Lien / Lien NHL
Brett LernoutMonsters (CLB)D231995-09-24No214 Lbs6 ft4NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Cale FleuryMonsters (CLB)D191998-10-19Yes201 Lbs6 ft1NoNoNo3Pro & Farm883,333$0$0$No883,333$883,333$Lien / Lien NHL
Cody GoloubefMonsters (CLB)D281989-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Dmitry SokolovMonsters (CLB)LW/RW201998-04-14No221 Lbs5 ft1NoNoNo3Pro & Farm830,000$0$0$No830,000$830,000$Lien / Lien NHL
Drake RymshaMonsters (CLB)C201998-08-18No187 Lbs6 ft0NoNoNo3Pro & Farm733,333$0$0$No733,333$733,333$Lien / Lien NHL
Felix GirardMonsters (CLB)C241994-05-09No196 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Gabriel FontaineMonsters (CLB)C211997-04-30No201 Lbs6 ft1NoNoNo2Pro & Farm736,667$0$0$No736,667$Lien / Lien NHL
Gustav BourammanMonsters (CLB)D211997-01-24No194 Lbs6 ft0NoNoNo2Pro & Farm806,666$0$0$No806,666$Lien / Lien NHL
Jack KopackaMonsters (CLB)LW201998-03-05No197 Lbs6 ft2NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Jayce HawrylukMonsters (CLB)C/RW221996-01-01No196 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jeremy HelvigMonsters (CLB)G211997-05-25No188 Lbs6 ft4NoNoNo3Pro & Farm785,000$0$0$No785,000$785,000$Lien / Lien NHL
Josh BrownMonsters (CLB)D241994-01-21No215 Lbs6 ft5NoNoNo2Pro & Farm675,000$0$0$No675,000$Lien / Lien NHL
Josh JoorisMonsters (CLB)RW281990-07-14No198 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Juho LammikkoMonsters (CLB)C/LW221996-01-29No191 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Kale ClagueMonsters (CLB)D201998-06-05No177 Lbs6 ft0NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Lien / Lien NHL
Lee StempniakMonsters (CLB)RW351983-02-04No195 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Matt GrzelcykMonsters (CLB)D241994-01-05No174 Lbs5 ft9NoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien / Lien NHL
Mikhail BerdinMonsters (CLB)G201998-03-01No163 Lbs6 ft2NoNoNo3Pro & Farm766,666$0$0$No766,666$766,666$Lien / Lien NHL
Nikita ScherbakMonsters (CLB)RW221995-12-30No192 Lbs6 ft2NoNoNo1Pro & Farm1,063,333$0$0$NoLien / Lien NHL
Otto KoivulaMonsters (CLB)LW/RW201998-09-01No219 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Otto SomppiMonsters (CLB)C201998-01-12No192 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Ryan BourqueMonsters (CLB)LW271991-01-03No185 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Skyler McKenzieMonsters (CLB)LW201998-01-20No154 Lbs5 ft8NoNoNo3Pro & Farm741,666$0$0$No741,666$741,666$Lien / Lien NHL
Ty RonningMonsters (CLB)RW201997-10-20No167 Lbs5 ft9NoNoNo3Pro & Farm750,833$0$0$No750,833$750,833$Lien / Lien NHL
Tye McGinnMonsters (CLB)LW281990-07-29No218 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3222.59195 Lbs6 ft02.06840,443$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Otto KoivulaJuho LammikkoLee Stempniak30014
2Tye McGinnJayce HawrylukNikita Scherbak30113
3Jack KopackaAdam BrooksJosh Jooris25212
4Juho LammikkoGabriel FontaineOtto Koivula15113
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykAndreas Borgman30032
2Josh BrownCale Fleury30122
3Cody GoloubefBrett Lernout25131
4Kale ClagueMatt Grzelcyk15140
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Otto KoivulaJuho LammikkoLee Stempniak60014
2Tye McGinnJayce HawrylukNikita Scherbak40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykAndreas Borgman60023
2Josh BrownCale Fleury40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Juho LammikkoOtto Koivula60122
2Lee StempniakJayce Hawryluk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykAndreas Borgman60122
2Josh BrownCale Fleury40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Juho Lammikko60122Matt GrzelcykAndreas Borgman60122
2Otto Koivula40122Josh BrownCale Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Juho LammikkoOtto Koivula60122
2Lee StempniakJayce Hawryluk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykAndreas Borgman60122
2Josh BrownCale Fleury40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Otto KoivulaJuho LammikkoLee StempniakMatt GrzelcykAndreas Borgman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Otto KoivulaJuho LammikkoLee StempniakMatt GrzelcykAndreas Borgman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Brooks, Jack Kopacka, Gabriel FontaineAdam Brooks, Jack KopackaGabriel Fontaine
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cody Goloubef, Brett Lernout, Kale ClagueCody GoloubefBrett Lernout, Kale Clague
Tirs de Pénalité
Juho Lammikko, Otto Koivula, Lee Stempniak, Jayce Hawryluk, Tye McGinn
Gardien
#1 : Antoine Bibeau, #2 : Mikhail Berdin


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 SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,689,417$ 2,686,917$ 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$ 12 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
282452602252289234554125120002215311934412014022301361152190289511800141059978929981028994953412275685113916284058120.00%4448979.95%51671302955.17%1414274651.49%692128353.94%2082144018386171046534
282303805423269271-241181701212143136741122104211126135-9602694677363510393667254085884281835265880357812703467621.97%2314680.09%31266257949.09%1195266044.92%656136048.24%1924131919736101064531
38246170517627819286412290404214399444124801134135934292278488766051048577202852931890990982285661104016383577019.61%4316185.85%71699299956.65%1394266152.39%663125952.66%2131148118066031064547
3824024011610258226324125110003213811028411513011381201164802584457032210873701329901023965956114251371172113953516217.66%2595678.38%21643301354.53%1266252450.16%667126952.56%2153152217985841053548
482392804047246239741279010221341003441121903025112139-2778246443689328985641225968518688507524537571318190959511419.16%5339681.99%41543303650.82%1304275747.30%612128347.70%2109145918506251024523
582541302265298169129412790001414784634127402251151856610829851881609113104731530309541007103387212065259720252334218.03%2584482.95%21855289364.12%1467240561.00%825129263.85%2273165516805481030548
682481606354373237136412080333418612561412880302018711275963736651038191411259614386211641295135885264675565521342175525.35%2855281.75%42111346660.91%1597279157.22%829140958.84%2288167316855401010534
782551800243329214115412690013217211557412990011115799581103295819100713596949343811371182110349241173752720872225424.32%2335476.82%41971325160.63%1497255558.59%801138757.75%2305168116145361035560
8824624020463832371464122902026205119864124150002017811860923837131096061691099914366312061201123162255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
8824624020463832371464122902026205119864124150002017811860923837131096061691099914366312061201123162255673045220611724526.16%2004279.00%11892312460.56%1378249255.30%848143858.97%240418061574498997547
Total Saison Régulière82044922802915475231062256850410234102013623321626112650041021512601692420148011303508983106554486501055123697881612731632103581044510523708244737221747918208307064420.98%307458281.07%33175433051457.49%138902608353.25%74411341855.46%2207815847173975662103255421
Séries
223167000008450341284000004225171183000004225173284149233013225261838268279275165881943644111292620.16%1241786.29%253888760.65%44874460.22%20635757.70%601414495175301156
2624000001522-73120000089-131200000713-641528430053612076072732218669511218527.78%33875.76%011722053.18%10020947.85%5110150.50%147100143437437
31046000002537-12514000001022-1253200000151508254772001158131712291995399106140239521019.23%54885.19%111733035.45%13343030.93%4614232.39%2211512657312158
340400000715-82020000027-52020000058-307132000223012335493901343748732314.35%22768.18%07013651.47%6413647.06%286543.08%946395315025
440400000713-62020000058-32020000025-3071320001330117543231013254951072229.09%40977.50%07514751.02%6715842.41%346353.97%9059100314823
58440000020200422000009904220000011110820375700411412808999848259636321436616.67%28775.00%014531645.89%12226046.92%6714047.86%2011371916210653
612570000035341624000001315-26330000022193103565100001411100426145153127144511310030343511.63%45686.67%022944251.81%24947951.98%11019057.89%2751912988915073
7514000001120-931200000912-32020000028-6211193000326015835674610207504415717529.41%20670.00%08818348.09%9621544.65%378245.12%12788126386834
Total Séries72324000000204211-73715220000098107-935171800000106104264204371575017262664246680884277442238268394916163406017.65%3666881.42%31379266151.82%1279263148.61%579114050.79%175912061716547922462