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LHSRSM


Phantoms
GP: 3 | W: 1 | L: 2
GF: 7 | GA: 9 | PP%: 12.50% | PK%: 100.00%
DG: Francois Gamache | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #25 vs Americans
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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
1Riley Nash (C)XX100.007243896177698662806359736279720506503022,750,000$
2Martin FrkX100.00634585687881756758656664697368050650261700,000$
3Christoffer EhnXX100.00764184638273856274606168626764050640231925,000$
4Boo NievesX100.00664190638676776267615860627166012630251700,000$
5Christian FischerX100.008645846283778261535663586265640506302211,075,833$
6Matt ReadX100.00574389626878736156596063598474010630331650,000$
7Keegan KolesarX100.00674988618677736057595862586563050620221905,000$
8Morgan FrostX100.00554189676678706474636158696163050620203863,333$
9Mikhail VorobyevX100.00624687617978776271605963626563050620221925,000$
10Valentin ZykovXX100.00644582637880756253586159646965050620241675,000$
11Dan HamhuisX100.006844786378808261306850744688780356403611,250,000$
12Oscar FantenbergX100.00824388637684766130625672507769014640281850,000$
13Dillon HeatheringtonX100.0068528659908280573058566051697507620241700,000$
14Chris BigrasX100.00614886607682815830595356466965024600242700,000$
Rayé
1CJ SuessX100.00584290617075775954576058597166050610251700,000$
2J.C. BeaudinXX100.00624388607779765869575961586563050610221816,667$
MOYENNE D'ÉQUIPE100.0067448662787878615560596359716703863
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
1Hunter Miska100.0077646272767577767577766973050650
2Jon Gillies100.0070878597696870696870697175050640
Rayé
MOYENNE D'ÉQUIPE100.007476748573727473727473707405065
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
1Boo NievesPhantoms (PHI)C3044-10028174120.00%25719.3100026000030065.06%8300001.3800000000
2Valentin ZykovPhantoms (PHI)LW/RW3213-20053153813.33%05317.7500016000000020.00%500001.1300000100
3Dan HamhuisPhantoms (PHI)D3112-3003866516.67%37324.560111900007000.00%000000.5400000010
4Mikhail VorobyevPhantoms (PHI)C3112020111104910.00%24615.5100001000011068.18%4400000.8600000000
5Christian FischerPhantoms (PHI)RW3011-22074124140.00%24515.3200000000000066.67%900000.4400000000
6Chris BigrasPhantoms (PHI)D3011-120613300.00%36120.410000600005000.00%000000.3300000000
7Christoffer EhnPhantoms (PHI)C/LW3101-2204472914.29%05518.6310127000020055.56%2700000.3600000000
8Matt ReadPhantoms (PHI)RW3011-10032133100.00%05618.7400006000000066.67%600000.3600000000
9Riley NashPhantoms (PHI)C/RW301102059123100.00%15719.3100037000140066.29%8900000.3500000000
10Keegan KolesarPhantoms (PHI)RW31012559350220.00%64314.630000000000000.00%000000.4600001000
11Morgan FrostPhantoms (PHI)C3101000551001010.00%35418.0800000000000066.67%1800000.3700000000
12Martin FrkPhantoms (PHI)RW3011-2203815280.00%27023.3800017000070066.67%600000.2900000000
13Dillon HeatheringtonPhantoms (PHI)D3000-120532450.00%46220.850001600005000.00%000000.0000000000
14Joel FarabeeFlyersLW1000000213130.00%11919.3800000000020050.00%200000.0000000000
15Martin NecasFlyersC/RW1000000057010.00%02222.6800020000050075.00%1200000.0000000000
16Oscar FantenbergPhantoms (PHI)D3000-300733470.00%37324.630002900007000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne4471219-161956778140431135.00%3285519.4411215750001551064.78%30100000.4400001110
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
1Hunter MiskaPhantoms (PHI)31200.9213.001800091140100.000030001
Stats d'équipe Total ou en Moyenne31200.9213.001800091140100.000030001


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
Boo NievesPhantoms (PHI)C251994-01-23No214 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
CJ SuessPhantoms (PHI)LW251994-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Chris BigrasPhantoms (PHI)D241995-02-22No191 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Christian FischerPhantoms (PHI)RW221997-04-15No214 Lbs6 ft2NoNoNo1Pro & Farm1,075,833$0$0$NoLien / Lien NHL
Christoffer EhnPhantoms (PHI)C/LW231996-04-05No195 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Dan HamhuisPhantoms (PHI)D361982-12-13No204 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Dillon HeatheringtonPhantoms (PHI)D241995-05-09No220 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Hunter MiskaPhantoms (PHI)G241995-07-07No175 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
J.C. BeaudinPhantoms (PHI)C/LW221997-03-25No196 Lbs6 ft1NoNoNo1Pro & Farm816,667$0$0$NoLien / Lien NHL
Jon GilliesPhantoms (PHI)G251994-01-22No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Keegan KolesarPhantoms (PHI)RW221997-04-08No227 Lbs6 ft2NoNoNo1Pro & Farm905,000$0$0$NoLien / Lien NHL
Martin FrkPhantoms (PHI)RW261993-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matt ReadPhantoms (PHI)RW331986-06-14No188 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Mikhail VorobyevPhantoms (PHI)C221997-01-05No194 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Morgan FrostPhantoms (PHI)C201999-05-14No170 Lbs5 ft11NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Oscar FantenbergPhantoms (PHI)D281991-10-07No206 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Riley NashPhantoms (PHI)C/RW301989-05-09No185 Lbs6 ft2NoNoNo2Pro & Farm2,750,000$0$0$No2,750,000$Lien / Lien NHL
Valentin ZykovPhantoms (PHI)LW/RW241995-05-15No220 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1825.28201 Lbs6 ft11.22924,213$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Christoffer EhnRiley NashMartin Frk30122
2Valentin ZykovBoo NievesMatt Read30122
3Morgan FrostMikhail VorobyevChristian Fischer25122
4Martin FrkMorgan FrostKeegan Kolesar15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oscar FantenbergDan Hamhuis30122
2Dillon HeatheringtonChris Bigras30122
3Keegan Kolesar25122
4Oscar FantenbergDan Hamhuis15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Christoffer EhnRiley NashMartin Frk60122
2Valentin ZykovBoo NievesMatt Read40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oscar FantenbergDan Hamhuis60122
2Dillon HeatheringtonChris Bigras40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin FrkRiley Nash60122
2Christoffer EhnMatt Read40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oscar FantenbergDan Hamhuis60122
2Dillon HeatheringtonChris Bigras40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Martin Frk60122Oscar FantenbergDan Hamhuis60122
2Riley Nash40122Dillon HeatheringtonChris Bigras40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin FrkRiley Nash60122
2Christoffer EhnMatt Read40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oscar FantenbergDan Hamhuis60122
2Dillon HeatheringtonChris Bigras40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Christoffer EhnRiley NashMartin FrkOscar FantenbergDan Hamhuis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Christoffer EhnRiley NashMartin FrkOscar FantenbergDan Hamhuis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Fischer, Mikhail Vorobyev, Boo NievesChristian Fischer, Mikhail VorobyevBoo Nieves
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dillon Heatherington, Chris Bigras, Oscar FantenbergDillon HeatheringtonChris Bigras, Oscar Fantenberg
Tirs de Pénalité
Martin Frk, Riley Nash, Christoffer Ehn, Matt Read, Christian Fischer
Gardien
#1 : Hunter Miska, #2 : Jon Gillies


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
1Americans3120000079-22110000067-11010000012-120.3337121900133014044504601143219688112.50%70100.00%09714666.44%6511357.52%334278.57%856458193518
Total3120000079-22110000067-11010000012-120.3337121900133014044504601143219688112.50%70100.00%09714666.44%6511357.52%334278.57%856458193518
_Since Last GM Reset3120000079-22110000067-11010000012-120.3337121900133014044504601143219688112.50%70100.00%09714666.44%6511357.52%334278.57%856458193518
_Vs Conference3120000079-22110000067-11010000012-120.3337121900133014044504601143219688112.50%70100.00%09714666.44%6511357.52%334278.57%856458193518

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
32L17121914011432196800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
312000079
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000067
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000012
Derniers 10 Matchs
WLOTWOTL SOWSOL
120000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8112.50%70100.00%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
44504601330
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
9714666.44%6511357.52%334278.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
856458193518


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 - 2021-04-061Americans5Phantoms1LSommaire du Match
3 - 2021-04-089Americans2Phantoms5WSommaire du Match
5 - 2021-04-1017Phantoms1Americans2LSommaire du Match
7 - 2021-04-1225Phantoms-Americans-
9 - 2021-04-1433Americans-Phantoms-
11 - 2021-04-1641Phantoms-Americans-
13 - 2021-04-1849Americans-Phantoms-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,663,583$ 899,667$ 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
282512004241285192934124100312114895534127100112013797401022855067910911371939271993387089536215264496314483918421.48%3926184.44%31672284958.69%1431258355.40%755128558.75%2133147217626061065558
382452803213240188524124150101011991284121130220312197249024042366346987068529421008984931322366711100117103185316.67%4266784.27%51842307159.98%1597273058.50%698121157.64%2120149117996011031529
482472500253268176924127900122140766441201600131128100289426847574315116737410296210199159996324707601592203558810317.52%6619186.23%111884321958.53%1788316756.46%703124856.33%1975131119416661048525
58255190123228417910541269002221469551412910010101388454110284506790091208377530809801030105432224061454519562234419.73%2445477.87%31832294362.25%1372248755.17%729125058.32%2216162617245441014530
682393402133295209864119180101215111041412016011211449945782955368315312385827330110701045115457278279449521752154621.40%2142886.92%31456310946.83%1328294045.17%632127949.41%2179157517705381010531
7824720012573201971234130800012178849441171201245142113299432056388328138938312359911661187120091278282449321712074220.29%2133484.04%51741324553.65%1472297749.45%743133255.78%2194160417765451011525
88238310112935928277411817001141661402641201401015193142517635956792613156116847386412731307124877339499638618541783318.54%1713480.12%41794319956.08%1719319953.74%799140956.71%204815211967532963481
88238310112935928277411817001141661402641201401015193142517635956792613156116847386412731307124877339499638618541783318.54%1713480.12%41794319956.08%1719319953.74%799140956.71%204815211967532963481
9825414012384392581814134400021243112131412010012171961465012643977212110618414510612429414241428139889299986746318682044924.02%2024080.20%22166352161.52%1695296357.21%887145161.13%220916481796528972501
Total Saison Régulière7384142220141528452849196388636922010705613181457943514369194115099152713921020372846284949157764145212048527517430625101461007310127554245797206632417071250248719.46%269444383.56%40161812835557.07%141212624553.80%67451187456.80%191271377216505509690824664
Séries
21165000003435-16420000020164523000001419-51234629600101211130797103106137992168193501224.00%571082.46%015533146.83%16039540.51%8217147.95%2541762688013967
323167000007454201082000003020101385000004434103274133207112318303810261257277156782043704901141614.04%1442483.33%249688655.98%44382453.76%19635255.68%561380557180305151
41165000002925453200000151236330000014131122951801171010236712298127203951172852866868.82%1131190.27%125545056.67%25147952.40%9715961.01%2681722829314267
5624000001521-631200000912-33120000069-34152641006432168544043312204810617618738.89%35974.29%06221029.52%7824831.45%329434.04%14293187528538
6514000001718-12110000086230300000912-32173148009440134513449021056381481300.00%19478.95%04115326.80%7521335.21%247830.77%9963139386128
71165000003435-16420000019145523000001521-612346094011110103467126160155263771218726440820.00%38878.95%027248456.20%21438855.15%9917556.57%2992192487413367
93120000079-22110000067-11010000012-127121900133014044504601143219688112.50%70100.00%09714666.44%6511357.52%334278.57%856458193518
Total Séries703832000002101971334221200000107872036162000000103110-77621037558523676171112393755742803932373670107316253115016.08%4136684.02%31378266051.80%1286266048.35%563107152.57%171011701741538904439