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LHSRSM


Gulls
GP: 3 | W: 2 | L: 1
GF: 8 | GA: 4 | PP%: 0.00% | PK%: 60.00%
DG: Olivier | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #32 vs Reign
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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
1Ryan DonatoXX100.006339877273827869636770587267650466602321,900,000$
2Emil BemstromXX100.007139886872747566536567626861650506502031,633,333$
3Filip ChytilX100.006442866882768167836564667061640466502021,244,166$
4Alexandre TexierXX100.00594085687683626771666659686162046640202925,000$
5Sam BennettXX100.008355676576738264716266576567640506402322,550,000$
6Egor Korshkov (R)X100.00674689648973756254586361596764050630232925,000$
7Aleksi SaarelaXX100.00594190637084796256606159626563050620221902,500$
8Joshua Ho-SangX100.00573989666978756459625861666764050620231874,125$
9Givani SmithXX100.00645381618274735952575860596362050610212913,333$
10Trent FredericX100.006356796081757458715959616063650506102121,137,500$
11Brandon HagelX100.00564388566778735451576057546362050590212925,000$
12Brent Gates (R)X100.00654289578072715452515658546563050590221650,000$
13Brendan GuhleX100.00644588638085776130605862536566048620221888,333$
14Olli JuoleviX100.006338896577807663306453624563620516202121,913,333$
15Ian McCoshenX100.00664984598578725830575661486965050610241700,000$
16Keegan LoweX100.00635681577987895630555154467377050600261675,000$
17Michael PaliottaX100.00724982568879785430535057457367039590261650,000$
Rayé
MOYENNE D'ÉQUIPE100.0065458563787876615260606058656504962
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
1Martin Jones100.0091959384908991908991907884050750
2Kaapo Kahkonen100.0079706883787779787779786771050670
Rayé
1Felix Sandstrom100.0075525079747375747375746569050640
2Vitek Vanecek100.0073848274727173727173726771050640
MOYENNE D'ÉQUIPE100.008075738079788079788079697405068
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
1Filip ChytilGulls (ANA)C3213200061341015.38%17123.95000210000021054.84%9300000.8400000100
2Ryan DonatoGulls (ANA)C/LW303320044143110.00%08227.62000310000160044.83%8700000.7200000000
3Sam BennettGulls (ANA)C/LW312320017864816.67%17123.95000110000020071.43%700000.8400000011
4Aleksi SaarelaGulls (ANA)C/LW3022220245160.00%05317.8000000000010050.00%400000.7500000001
5Alexandre TexierGulls (ANA)C/LW320220096153313.33%05317.9100001000000036.23%6900000.7400000010
6Egor KorshkovGulls (ANA)RW32021005580525.00%05919.97000112000000050.00%400000.6700000000
7Emil BemstromGulls (ANA)LW/RW302212045103110.00%26521.68000212000050028.57%700000.6200000000
8Trent FredericGulls (ANA)C3022520454110.00%16321.3200000000000023.53%1700000.6300000000
9Brent GatesGulls (ANA)LW31011004150120.00%0186.32000000000010100.00%200001.0500000000
10Givani SmithGulls (ANA)LW/RW3011200364100.00%15117.3300000000000066.67%300000.3800000000
11Ian McCoshenGulls (ANA)D3011220729340.00%47123.8400051200003000.00%000000.2800000000
12Joshua Ho-SangGulls (ANA)RW3011200099350.00%16923.210001100000000100.00%200000.2900000000
13Olli JuoleviGulls (ANA)D3011000359130.00%58327.8900041100005000.00%000000.2400000000
14Brandon HagelGulls (ANA)LW3000000000000.00%093.1200001000000062.50%800000.0000000000
15Brendan GuhleGulls (ANA)D3000000438330.00%88327.9400031100005000.00%000000.0000000000
16Michael PaliottaGulls (ANA)D3000420500010.00%55418.120000000000000.00%000000.0000000000
17Keegan LoweGulls (ANA)D3000200521210.00%57324.4600001200004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne518162430100767112032736.67%34103920.38000221180001362046.53%30300000.4600000122
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
1Martin JonesGulls (ANA)32010.9661.152090141160000.000030111
Stats d'équipe Total ou en Moyenne32010.9661.152090141160000.000030111


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
Aleksi SaarelaGulls (ANA)C/LW221997-01-07No200 Lbs5 ft10NoNoNo1Pro & Farm902,500$0$0$NoLien / Lien NHL
Alexandre TexierGulls (ANA)C/LW201999-09-13No192 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brandon HagelGulls (ANA)LW211998-08-27No174 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brendan GuhleGulls (ANA)D221997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm888,333$0$0$NoLien / Lien NHL
Brent GatesGulls (ANA)LW221997-08-12Yes198 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Egor KorshkovGulls (ANA)RW231996-07-10Yes214 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Emil BemstromGulls (ANA)LW/RW201999-06-01No190 Lbs6 ft0NoNoNo3Pro & Farm1,633,333$0$0$No1,633,333$1,633,333$Lien
Felix SandstromGulls (ANA)G221997-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Filip ChytilGulls (ANA)C201999-09-05No206 Lbs6 ft2NoNoNo2Pro & Farm1,244,166$0$0$No1,244,166$Lien / Lien NHL
Givani SmithGulls (ANA)LW/RW211998-02-27No210 Lbs6 ft2NoNoNo2Pro & Farm913,333$0$0$No913,333$Lien / Lien NHL
Ian McCoshenGulls (ANA)D241995-08-05No210 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joshua Ho-SangGulls (ANA)RW231996-01-22No173 Lbs6 ft0NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Kaapo KahkonenGulls (ANA)G231996-08-16No215 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Keegan LoweGulls (ANA)D261993-03-29No191 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Martin JonesGulls (ANA)G291990-01-10No190 Lbs6 ft4NoNoNo5Pro & Farm5,750,000$0$0$No5,750,000$5,750,000$5,750,000$5,750,000$Lien / Lien NHL
Michael PaliottaGulls (ANA)D261993-04-06No207 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Olli JuoleviGulls (ANA)D211998-05-05No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$0$0$No1,913,333$Lien / Lien NHL
Ryan DonatoGulls (ANA)C/LW231996-04-09No192 Lbs6 ft0NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien / Lien NHL
Sam BennettGulls (ANA)C/LW231996-06-20No195 Lbs6 ft1NoNoNo2Pro & Farm2,550,000$0$0$No2,550,000$Lien / Lien NHL
Trent FredericGulls (ANA)C211998-02-11No203 Lbs6 ft2NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien / Lien NHL
Vitek VanecekGulls (ANA)G231996-01-09No181 Lbs6 ft1NoNoNo3Pro & Farm716,667$0$0$No716,667$716,667$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2122.62196 Lbs6 ft21.861,320,157$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emil BemstromRyan DonatoEgor Korshkov30122
2Sam BennettFilip ChytilJoshua Ho-Sang30122
3Aleksi SaarelaAlexandre TexierGivani Smith25122
4Brent GatesTrent FredericRyan Donato15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Olli JuoleviBrendan Guhle30122
2Ian McCoshenKeegan Lowe30122
3Michael PaliottaTrent Frederic25122
4Olli JuoleviBrendan Guhle15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emil BemstromRyan DonatoEgor Korshkov60122
2Sam BennettFilip ChytilJoshua Ho-Sang40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Olli JuoleviBrendan Guhle60122
2Ian McCoshenKeegan Lowe40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoEmil Bemstrom60122
2Filip ChytilSam Bennett40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Olli JuoleviBrendan Guhle60122
2Ian McCoshenKeegan Lowe40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Donato60122Olli JuoleviBrendan Guhle60122
2Emil Bemstrom40122Ian McCoshenKeegan Lowe40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoEmil Bemstrom60122
2Filip ChytilSam Bennett40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Olli JuoleviBrendan Guhle60122
2Ian McCoshenKeegan Lowe40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emil BemstromRyan DonatoEgor KorshkovOlli JuoleviBrendan Guhle
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emil BemstromRyan DonatoEgor KorshkovOlli JuoleviBrendan Guhle
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Hagel, Alexandre Texier, Aleksi SaarelaBrandon Hagel, Alexandre TexierAleksi Saarela
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Paliotta, Ian McCoshen, Keegan LoweMichael PaliottaIan McCoshen, Keegan Lowe
Tirs de Pénalité
Ryan Donato, Emil Bemstrom, Filip Chytil, Sam Bennett, Alexandre Texier
Gardien
#1 : Martin Jones, #2 : Kaapo Kahkonen


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
1Reign32100000844110000003212110000052340.66781624012420120364130131163410761200.00%5260.00%06012747.24%5913145.04%224548.89%785387264421
Total32100000844110000003212110000052340.66781624012420120364130131163410761200.00%5260.00%06012747.24%5913145.04%224548.89%785387264421
_Since Last GM Reset32100000844110000003212110000052340.66781624012420120364130131163410761200.00%5260.00%06012747.24%5913145.04%224548.89%785387264421
_Vs Conference32100000844110000003212110000052340.66781624012420120364130131163410761200.00%5260.00%06012747.24%5913145.04%224548.89%785387264421

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
34W18162412011634107601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
321000084
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000052
Derniers 10 Matchs
WLOTWOTL SOWSOL
200100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1200.00%5260.00%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
364130132420
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
6012747.24%5913145.04%224548.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
785387264421


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
2 - 2021-04-078Gulls4Reign0WSommaire du Match
4 - 2021-04-0916Gulls1Reign2LXSommaire du Match
6 - 2021-04-1124Reign2Gulls3WSommaire du Match
8 - 2021-04-1332Reign-Gulls-
10 - 2021-04-1540Gulls-Reign-
12 - 2021-04-1748Reign-Gulls-
14 - 2021-04-1956Gulls-Reign-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,772,328$ 1,527,416$ 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$ 8 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
282244207333216293-7741161802131112140-284182405202104153-49482163675832178785012223275574470351312891481215033295917.93%2965880.41%0924239438.60%1114319034.92%496132437.46%1675111522616421035479
382195301144183316-13341122301131101153-52417300001382163-81381833114943167545772458795784868433951116564215253315416.31%2505179.60%2793241732.81%1135367830.86%423123234.33%14859882502633976429
482363102256212194184123110112312192294113200113391102-1172212370582346965711323837447848277126047991394200254510118.53%6008685.67%51341286246.86%1441326944.08%517118943.48%1977131819756481035516
582125901226181329-148415300020490164-74417290102291165-74241813034843179504982393760779824644181121728318301813217.68%1263373.81%0734222233.03%1005354828.33%387127730.31%147810432574569915391
682442603144334234100412113020321791225741231301112155112438833459693014137999111382212561280126159270582246821312075325.60%1933780.83%32023347958.15%1499278353.86%733131755.66%2196159117505471024539
78243280133432124081412115001131611214041221301221160119418632156688711128108815379111611283132050265873650920242183917.89%2194479.91%32063337461.14%1544281754.81%765134257.00%2231163617175411015535
882511803145428198230412580311322391132412610000322051079810242877111991819012011112406213231349136757245072640819011664426.51%1803083.33%12032330961.41%1461252957.77%853141260.41%242618521586491961520
882511803145428198230412580311322391132412610000322051079810242877111991819012011112406213231349136757245072640819011664426.51%1803083.33%12032330961.41%1461252957.77%853141260.41%242618521586491961520
9824225013563572561014124100122219112368411815001341661333310535760095715151108928353311471195117069352398636420101794122.91%1603478.75%01527316648.23%1512356542.41%644136947.04%192513902075554981479
Total Saison Régulière738322300022173443266022584023691721360131016221401109730436915016409718211259116198665266046557315163310898027138828736926495479707521276508091528816827232246720.11%220440381.72%15134692653250.77%121722790843.61%56711187447.76%178231278718031511789084412
Séries
41257000002526-15230000011101734000001416-2102545700168101286758710915413124245315981515.31%971584.54%112140330.02%19051037.25%6816940.24%27017032610616277
6514000001324-1120200000610-431200000714-721320330052511544751421425373281351218.33%13284.62%16817040.00%9022839.47%348540.00%10770147396732
725169000008171101275000003934513940000042375328115123210292624286627727629023912270196729711318.31%951287.37%047695549.84%494106946.21%20340949.63%615420624195334168
8624000001619-3312000001011-13120000068-24162945001015023410163700239733214516743.75%16381.25%111725146.61%11323148.92%399839.80%14097144417437
9321000008441100000032121100000523481624012420120364130131163410761200.00%5260.00%06012747.24%5913145.04%224548.89%785387264421
Total Séries51262500000143144-12311120000069672281513000007477-352143261404125241464166053651854165193357451114002093617.22%2263484.96%3842190644.18%946216943.61%36680645.41%12128121329409684337