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Monsters

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Pomminville | Morale : 50 | Moyenne d'Équipe : 61
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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
1Otto KoivulaXX100.00684788619078726265606064616362050630
2Jayce HawrylukXX100.00714279647277716359625860636764050620
3Rudolfs BalcersX100.00573983656875726458636361646563050620
4Noah GregorX100.00684188647173666270615963646362050620
5Rodrigo AbolsX100.00714688608877765872615663606764050620
6Adam BrooksX100.00574189626776756157606058636764050610
7Dmitry SokolovX100.00533787616683855953556056616362050600
8Isaac RatcliffeX100.00745283569285875551545459536162050600
9Gabriel FontaineX100.00644387587879815753565459606563050600
10Carl GunnarssonX100.00574187638085736230676081528474050660
11Matt GrzelcykX100.00644273706484866830745972537166050660
12Carson SoucyX100.00644389659180716430636372537167050650
13Josh BrownX100.00826572639379806230615865507167050640
14Cale FleuryX100.00724388637883776230615864536261050630
15Chase PriskieX100.00564588627186885930615558466764050610
16Gustav OlofssonX100.00634187598076745730585659457166050610
17Kale ClagueX100.00574389637081726130605862546361050610
Rayé
1Jack KopackaX100.00654285588083815754565659586362050600
2Bokondji ImamaX100.00706765568280795551535457536764050590
3Kody ClarkX100.00634686588075745753565459536162050590
4Maksim SushkoX100.00584785597185875652545753596163050590
5Otto SomppiX100.00634589567977765862545457566362050590
6Ivan ChekhovichX100.00523888586079785751565455536162050580
7Skyler McKenzieX100.00514389585984825753555654586362050580
8Drake RymshaX100.00574579547278755359525156546362050570
9Ty RonningX100.00533887536373725550515452536563050570
10Andreas BorgmanX100.00625183597483845830575355466965050600
11Pierre-Olivier JosephX100.00614885597785845730565358466163050600
MOYENNE D'ÉQUIPE100.0063458560768078594758576055666405061
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
1Mikhail Berdin100.0075828073747375747375746367050640
2Dylan Ferguson100.0074525075737274737274736367050630
Rayé
1Adam Huska100.0070686689696870696870696569050630
2Antoine Bibeau100.0070605886696870696870697175050630
3Jeremy Helvig100.0060525084595860595860596569050570
MOYENNE D'ÉQUIPE100.007063618169687069687069656905062
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)C231996-05-06No185 Lbs5 ft10NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Adam HuskaMonsters (CLB)G221997-05-12No227 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Andreas BorgmanMonsters (CLB)D241995-06-18No199 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Antoine BibeauMonsters (CLB)G251994-05-01No213 Lbs6 ft3NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Bokondji ImamaMonsters (CLB)LW231996-08-03No221 Lbs6 ft1NoNoNo1Pro & Farm706,667$0$0$NoLien / Lien NHL
Cale FleuryMonsters (CLB)D201998-11-19No205 Lbs6 ft1NoNoNo2Pro & Farm883,333$0$0$No883,333$Lien / Lien NHL
Carl GunnarssonMonsters (CLB)D321986-11-09No198 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$0$0$No1,750,000$Lien / Lien NHL
Carson SoucyMonsters (CLB)D251994-07-27No210 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Chase PriskieMonsters (CLB)D231996-03-19No185 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien
Dmitry SokolovMonsters (CLB)RW211998-04-14No221 Lbs5 ft1NoNoNo2Pro & Farm830,000$0$0$No830,000$Lien / Lien NHL
Drake RymshaMonsters (CLB)C211998-08-18No187 Lbs6 ft0NoNoNo2Pro & Farm733,333$0$0$No733,333$Lien / Lien NHL
Dylan FergusonMonsters (CLB)G211998-09-20No189 Lbs6 ft1NoNoNo3Pro & Farm733,333$0$0$No733,333$733,333$Lien
Gabriel FontaineMonsters (CLB)LW221997-04-30No201 Lbs6 ft1NoNoNo1Pro & Farm736,667$0$0$NoLien / Lien NHL
Gustav OlofssonMonsters (CLB)D241994-12-01No200 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Isaac RatcliffeMonsters (CLB)LW201999-02-15No200 Lbs6 ft6NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Ivan ChekhovichMonsters (CLB)LW201999-01-04No185 Lbs5 ft1NoNoNo3Pro & Farm903,333$0$0$No903,333$903,333$Lien
Jack KopackaMonsters (CLB)LW211998-03-05No197 Lbs6 ft2NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Jayce HawrylukMonsters (CLB)C/RW231996-01-01No196 Lbs5 ft11NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Jeremy HelvigMonsters (CLB)G221997-05-25No188 Lbs6 ft4NoNoNo2Pro & Farm785,000$0$0$No785,000$Lien / Lien NHL
Josh BrownMonsters (CLB)D251994-01-21No217 Lbs6 ft5NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Kale ClagueMonsters (CLB)D211998-06-05No177 Lbs6 ft0NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Kody ClarkMonsters (CLB)RW191999-10-13No185 Lbs6 ft3NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Maksim SushkoMonsters (CLB)RW201999-02-10No181 Lbs6 ft0NoNoNo3Pro & Farm879,167$0$0$No879,167$879,167$Lien
Matt GrzelcykMonsters (CLB)D251994-01-05No174 Lbs5 ft9NoNoNo1Pro & Farm1,400,000$0$0$NoLien / Lien NHL
Mikhail BerdinMonsters (CLB)G211998-03-01No163 Lbs6 ft2NoNoNo2Pro & Farm766,666$0$0$No766,666$Lien / Lien NHL
Noah GregorMonsters (CLB)C211998-07-28No185 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Otto KoivulaMonsters (CLB)C/LW211998-09-01No219 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Otto SomppiMonsters (CLB)C211998-01-12No192 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Pierre-Olivier JosephMonsters (CLB)D201999-07-01No185 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$0$0$No1,075,833$1,075,833$Lien
Rodrigo AbolsMonsters (CLB)C231996-01-05No206 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Rudolfs BalcersMonsters (CLB)LW221997-04-08No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Skyler McKenzieMonsters (CLB)LW211998-01-20No154 Lbs5 ft8NoNoNo2Pro & Farm741,666$0$0$No741,666$Lien / Lien NHL
Ty RonningMonsters (CLB)RW211997-10-20No167 Lbs5 ft9NoNoNo2Pro & Farm750,833$0$0$No750,833$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3322.21194 Lbs6 ft11.85898,862$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Otto Koivula30014
2Jayce Hawryluk30113
3Adam Brooks25212
4Gabriel FontaineOtto Koivula15113
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt Grzelcyk30032
2Josh BrownCale Fleury30122
325131
4Kale ClagueMatt Grzelcyk15140
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Otto Koivula60014
2Jayce Hawryluk40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt Grzelcyk60023
2Josh BrownCale Fleury40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Otto Koivula60122
2Jayce Hawryluk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt Grzelcyk60122
2Josh BrownCale Fleury40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Matt Grzelcyk60122
2Otto Koivula40122Josh BrownCale Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Otto Koivula60122
2Jayce Hawryluk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt Grzelcyk60122
2Josh BrownCale Fleury40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Otto KoivulaMatt Grzelcyk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Otto KoivulaMatt Grzelcyk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Brooks, , Gabriel FontaineAdam Brooks, Gabriel Fontaine
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Kale Clague, Kale Clague
Tirs de Pénalité
, Otto Koivula, , Jayce Hawryluk,
Gardien
#1 : , #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$ 2,966,246$ 1,596,417$ 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$ 0 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