beholdershellpepitosKingspatriots

 

 


Requins

GP: 15 | W: 10 | L: 5 | OTL: 0 | P: 20
GF: 80 | GA: 45 | PP%: 30.30% | PK%: 86.36%
DG: Karl Freniere | Morale : 50 | Moyenne d'Équipe : 77
Prochain matchs #94 vs Giants
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Brendan Perlini0X100.00573568317268837137808673784235050820
2Christian Dvorak0X100.00583473234876837185828172684236050820
3Austin Watson0X100.00864745497758836550798172605752050800
4Ondrej Kase0X100.00462570283761767639848570774134050790
5Connor Brickley0X100.00844259436654836836828065634437050780
6David Kampf0X100.00472367475559856787827962644638050770
7Cedric Paquette0X100.00864353466549606881798158594944050760
8Nicholas Baptiste0X100.00494060396544856835788366634542050760
9Frederik Gauthier0X100.00694060618841766084717842634439050710
10Evgeny Svechnikov0X100.00713752577240786034727758734137050700
11Emerson Etem0XX100.00613970707339835631677053725244050670
12Vince Dunn (R)0X100.00374066435762838633857461644034050810
13Joe Morrow0X100.00684063455660848428827366635042047810
14Scott Harrington0X100.00643872497048828129787266614952050780
15Brendan Guhle0X100.00433364495465727630756971643835050770
16Andy Welinski (R)0X100.00463283566654777030726756654242050730
17Tyler Wotherspoon0X100.00443475607040716931726650645044050690
Rayé
MOYENNE D'ÉQUIPE100.0060376547645479704678776266454005076
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
1Tristan Jarry100.0085927289888890889089714261050880
Rayé
MOYENNE D'ÉQUIPE100.008592728988889088908971426105088
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN454450,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brendan PerliniRequins (COU)LW15251641181001962109315622.94%3837324.92591418490115622244.44%1261624042.1900000601
2Nicholas BaptisteRequins (COU)RW1511233412255151160183918.33%622314.9368141249000001027.27%11101003.0400100023
3Christian DvorakRequins (COU)C158263414100164054143014.81%3830920.604101465010111761062.01%279216002.2000000041
4Cedric PaquetteRequins (COU)C158917910023245892013.79%1722515.0300025000031067.84%171137111.5100000000
5Connor BrickleyRequins (COU)C1561016-3180192644193613.64%1126317.56145645000011042.60%2231114001.2200000101
6Austin WatsonRequins (COU)LW159615-23115314761233114.75%1929219.5341512450113281043.24%371412001.0200012001
7Ondrej KaseRequins (COU)LW15871554014554194114.81%1723715.81000001013222050.00%10412001.2600000001
8Evgeny SvechnikovRequins (COU)RW1501212-312010193013360.00%826217.47033645000000040.00%15173000.9200000000
9Frederik GauthierRequins (COU)C153710840171529102110.34%101419.41000000000311064.10%78143001.4200000011
10Emerson EtemRequins (COU)LW/RW151674801410227194.55%620413.6200000000000066.67%3204000.6900000000
11Vince DunnRequins (COU)D15055460519201080.00%1722414.990001500005000.00%035000.4400000000
12Andy WelinskiRequins (COU)D1513450021291111.11%71318.760000000000000.00%002000.6100000000
13Scott HarringtonRequins (COU)D1504444013246650.00%1722515.050000500006000.00%024000.3500000000
14Tyler WotherspoonRequins (COU)D15000420053030.00%1503.360000000000000.00%012000.0000000000
Stats d'équipe Total ou en Moyenne21080134214791442018535955918034614.31%212316515.07203555633022242223910254.77%953127109151.3500112779
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
1Tristan JarryRequins (COU)1510310.9312.619210040580322200.0000150340
Stats d'équipe Total ou en Moyenne1510310.9312.619210040580322200.0000150340


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andy WelinskiRequins (COU)D251993-04-27Yes206 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm690,000$0$0$NoLien
Austin WatsonRequins (COU)LW261992-01-13No204 Lbs193 CMNoNoNo3Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Brendan GuhleRequins (COU)D211997-07-29No196 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien
Brendan PerliniRequins (COU)LW221996-04-27No211 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,363,333$0$0$NoLien / Lien NHL
Cedric PaquetteRequins (COU)C251993-08-13No198 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm812,500$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C221996-02-02No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Connor BrickleyRequins (COU)C261992-02-25No203 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
David KampfRequins (COU)C231995-01-12No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Emerson EtemRequins (COU)LW/RW261992-06-16No212 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Evgeny SvechnikovRequins (COU)RW211996-10-31No212 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien
Frederik GauthierRequins (COU)C231995-04-26No232 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm863,333$0$0$NoLien
Joe MorrowRequins (COU)D251992-12-09No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Nicholas BaptisteRequins (COU)RW231995-08-04No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm878,333$0$0$NoLien
Ondrej KaseRequins (COU)LW221995-11-08No185 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm706,667$0$0$NoLien / Lien NHL
Scott HarringtonRequins (COU)D251993-03-10No207 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm632,000$0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G231995-04-29No194 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm905,000$0$0$NoLien / Lien NHL
Tyler WotherspoonRequins (COU)D251993-03-12No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Vince DunnRequins (COU)D211996-10-29Yes203 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1823.56203 Lbs188 CM1.50880,713$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste40122
2Austin WatsonConnor BrickleyEvgeny Svechnikov30122
3Ondrej KaseCedric PaquetteEmerson Etem20122
4Frederik GauthierBrendan Perlini10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Vince DunnScott Harrington30122
3Andy Welinski20122
4Tyler Wotherspoon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste60122
2Austin WatsonConnor BrickleyEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince DunnScott Harrington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince DunnScott Harrington40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brendan Perlini6012260122
2Christian Dvorak40122Vince DunnScott Harrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince DunnScott Harrington40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas Baptiste
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas Baptiste
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cedric Paquette, , Frederik GauthierCedric Paquette, Frederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, , Tyler WotherspoonAndy Welinski, Tyler Wotherspoon
Tirs de Pénalité
Brendan Perlini, Christian Dvorak, Austin Watson, Ondrej Kase, Connor Brickley
Gardien
#1 : Tristan Jarry, #2 :


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
1Giants422000002116521100000109121100000117440.5002137580024203601272201721541314049325026623.08%16381.25%119135354.11%20737455.35%12423153.68%350236359120218109
2Jardiniers64200000272253300000017611312000001016-680.6672742690024203601942201721541322684747232825.00%27485.19%119135354.11%20737455.35%12423153.68%350236359120218109
3Pirates541000003272533000000274232110000053280.800325587002420360238220172154132198646648675.00%23291.30%019135354.11%20737455.35%12423153.68%350236359120218109
Total1510500000804535871000005419357340000026260200.6678013421400242036055922017215413585219152186662030.30%66986.36%219135354.11%20737455.35%12423153.68%350236359120218109
_Since Last GM Reset1510500000804535871000005419357340000026260200.6678013421400242036055922017215413585219152186662030.30%66986.36%219135354.11%20737455.35%12423153.68%350236359120218109
_Vs Conference1510500000804535871000005419357340000026260200.6678013421400242036055922017215413585219152186662030.30%66986.36%219135354.11%20737455.35%12423153.68%350236359120218109
_Vs Division11830000059293066000000441034523000001519-4160.727599715600242036043222017215413445170120136401435.00%50688.00%119135354.11%20737455.35%12423153.68%350236359120218109

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1520W18013421455958521915218600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1510500008045
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
87100005419
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
73400002626
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
662030.30%66986.36%2
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
220172154132420360
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
19135354.11%20737455.35%12423153.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
350236359120218109


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 - 2019-04-036Pirates2Requins15WSommaire du Match
2 - 2019-04-0414Pirates1Requins6WSommaire du Match
3 - 2019-04-0522Requins4Pirates1WSommaire du Match
4 - 2019-04-0630Requins1Pirates2LXSommaire du Match
5 - 2019-04-0738Pirates1Requins6WSommaire du Match
8 - 2019-04-1060Jardiniers1Requins5WSommaire du Match
9 - 2019-04-1164Jardiniers3Requins7WSommaire du Match
10 - 2019-04-1268Requins5Jardiniers11LSommaire du Match
11 - 2019-04-1372Requins1Jardiniers3LSommaire du Match
12 - 2019-04-1476Jardiniers2Requins5WSommaire du Match
13 - 2019-04-1580Requins4Jardiniers2WSommaire du Match
15 - 2019-04-1786Requins3Giants5LSommaire du Match
16 - 2019-04-1888Requins8Giants2WSommaire du Match
17 - 2019-04-1990Giants2Requins1LSommaire du Match
18 - 2019-04-2092Giants7Requins9WSommaire du Match
19 - 2019-04-2194Requins-Giants-
20 - 2019-04-2296Giants-Requins-
21 - 2019-04-2398Requins-Giants-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
33 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,585,284$ 1,413,217$ 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$ 3 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
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
20188250230333048424024441324013102651011644118190202021913980100484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
Total Saison Régulière3341401410101819615941203391167885305885913527386167528805101116816765280159427644358513570510485391090937563594345319110066358837346135116229525.39%151232778.37%733805685155.54%3648687753.05%2871508756.44%783451207324268550592532
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
20181510500000804535871000005419357340000026260208013421400242036055922017215413585219152186662030.30%66986.36%219135354.11%20737455.35%12423153.68%350236359120218109
Total Séries3719180000014112813191360000086533318612000005575-203814123938000424353312484304123871913074544575391483322.30%1623280.25%743781253.82%45588151.65%29053554.21%851575885290521250