beholdershellpepitosKingspatriots

 

 


Zombie

GP: 11 | W: 4 | L: 7 | OTL: 0 | P: 8
GF: 30 | GA: 43 | PP%: 33.33% | PK%: 73.91%
DG: | Morale : 50 | Moyenne d'Équipe : 73
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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
1Gabriel Bourque0X100.00844073526249636739797869715551050760
2Devin Setoguchi0X100.00713863537157776033727965766854050760
3Brandon Pirri0XX100.00513765314758776965798541845040050750
4Jacob Josefson0X100.00512178515753436277797968815342050740
5William Carrier0X100.00964154477339606432788465624338050740
6Freddie Hamilton0X100.00864181586041876168748051625144050730
7Joseph Blandisi0XXX100.00644553544360815957737661714239047730
8J.T. Brown0XX100.00814957533442726259788058574945050720
9Miikka Salomaki0XX100.00862357545846566237798062625041050720
10Michael Bournival0X100.00823467635544705932717861615144050710
11Jack Skille0X100.00824173558039556133708152565848050710
12Erik Condra0XX100.00373859685443815632677358666355050680
13Taylor Beck0X100.00533363656839835631677151725345050670
14Logan Brown (R)0X100.00353393578136815735697052643432050660
15Victor Mete (R)0X100.00273989463256778029817070633736050770
16Seth Helgeson0X100.00755243609049866931726661634948050740
17Jacob Larsson0X100.00322873585259786931726556654139050720
18Aaron Ness0X100.00361958604046857030736859635244050710
Rayé
1Jean-Sebastien Dea0X100.00873351683225765839697058654537050640
MOYENNE D'ÉQUIPE100.0064366655574673634274755967504305072
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
1Alex Stalock100.0087677388919092899169836668050880
2Dustin Tokarski100.0080925579818084848472737280050840
Rayé
MOYENNE D'ÉQUIPE100.008480648486858887887178697405086
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darren Dreger70707070707070CAN513450,000$


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
1William CarrierZombie (BEH)LW118816060191745142317.78%819918.1655101432000072036.84%19105011.6000000200
2Gabriel BourqueZombie (BEH)LW113912-104016214522386.67%2427324.8726811260001390051.30%193197000.8801000010
3Devin SetoguchiZombie (BEH)RW115611-76071639192312.82%1922820.7733614350003461160.00%1575000.9600000010
4Brandon PirriZombie (BEH)C/LW11268-91007113511275.71%124622.41000219000050061.59%151112000.6500000000
5Jacob JosefsonZombie (BEH)C11437-14032233183112.12%618316.7212312000020066.87%160105000.7600000001
6Jack SkilleZombie (BEH)RW11257-1601311248238.33%718216.59011111000000133.33%6252000.7700000010
7Freddie HamiltonZombie (BEH)C11156-24012212315234.35%923421.3100000000160066.97%10993000.5100000000
8Victor MeteZombie (BEH)D11145-500025201185.00%2120018.210000000006000.00%007000.5000000000
9Miikka SalomakiZombie (BEH)LW/RW11415-1115131426131515.38%515213.9000000000001042.86%7116000.6500000000
10Seth HelgesonZombie (BEH)D11055-31801618285100.00%3730127.44011636000231000.00%0113000.3300000010
11Erik CondraZombie (BEH)LW/RW11022-1100318155110.00%315313.9100000000000042.86%795000.2600000000
12Michael BournivalZombie (BEH)LW11011-44049130100.00%61069.730113150001260056.67%3021000.1900000000
13Jacob LarssonZombie (BEH)D11000-2200145210.00%1614813.4700000000026000.00%0112000.0000000000
14Aaron NessZombie (BEH)D11000000000000.00%010.120000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne154305585-468551132173511432438.55%162261316.971119305218100081984259.25%69711573010.6501000241
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
1Alex StalockZombie (BEH)114700.9123.786512041468241000.0000110200
2Dustin TokarskiZombie (BEH)10000.8184.4427002117000.0000011000
Stats d'équipe Total ou en Moyenne124700.9103.816782043479248000.00001111200


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
Aaron NessZombie (BEH)D281990-05-18No184 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Alex StalockZombie (BEH)G311987-07-28No191 Lbs183 CMNoNoNo1Sans RestrictionPro & Farm1,920,000$0$0$NoLien / Lien NHL
Brandon PirriZombie (BEH)C/LW271991-04-10No186 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Devin SetoguchiZombie (BEH)RW311987-01-01No205 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien
Dustin TokarskiZombie (BEH)G291989-09-16No204 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm720,000$0$0$NoLien
Erik CondraZombie (BEH)LW/RW321986-08-06No188 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm1,800,000$0$0$NoLien / Lien NHL
Freddie HamiltonZombie (BEH)C261992-01-01No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm613,000$0$0$NoLien / Lien NHL
Gabriel BourqueZombie (BEH)LW281990-09-23No206 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
J.T. BrownZombie (BEH)LW/RW281990-07-02No169 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Jack SkilleZombie (BEH)RW311987-05-19No216 Lbs185 CMNoNoNo3Sans RestrictionPro & Farm825,000$0$0$NoLien / Lien NHL
Jacob JosefsonZombie (BEH)C271991-03-02No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Jacob LarssonZombie (BEH)D211997-04-29No195 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jean-Sebastien DeaZombie (BEH)C241994-02-08No175 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm598,333$0$0$NoLien / Lien NHL
Joseph BlandisiZombie (BEH)C/LW/RW241994-07-18No182 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm680,000$0$0$NoLien
Logan BrownZombie (BEH)C201998-03-05Yes220 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm1,604,166$0$0$NoLien
Michael BournivalZombie (BEH)LW261992-05-31No198 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Miikka SalomakiZombie (BEH)LW/RW251993-03-09No203 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm613,000$0$0$NoLien / Lien NHL
Seth HelgesonZombie (BEH)D271990-10-08No221 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm588,000$0$0$NoLien
Taylor BeckZombie (BEH)LW271991-05-13No203 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Victor MeteZombie (BEH)D201998-06-07Yes184 Lbs175 CMNoNoNo2Contrat d'EntréePro & Farm870,000$0$0$NoLien
William CarrierZombie (BEH)LW231994-12-20No212 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm856,667$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2126.43197 Lbs183 CM1.38923,246$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel BourqueBrandon PirriDevin Setoguchi40122
2Brandon PirriGabriel BourqueWilliam Carrier30122
3Freddie HamiltonJacob JosefsonJack Skille20122
4Erik CondraFreddie HamiltonMiikka Salomaki10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson40122
2Victor Mete30122
3Seth Helgeson20122
4Jacob Larsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William CarrierGabriel BourqueDevin Setoguchi60122
2Devin SetoguchiGabriel BourqueWilliam Carrier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson60122
2Seth Helgeson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel BourqueDevin Setoguchi60122
2Freddie HamiltonGabriel Bourque40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson60122
2Jacob Larsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Gabriel Bourque60122Victor Mete60122
2Devin Setoguchi40122Seth Helgeson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel BourqueWilliam Carrier60122
2Michael BournivalGabriel Bourque40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson60122
2Victor Mete40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Devin SetoguchiBrandon PirriGabriel BourqueSeth Helgeson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Devin SetoguchiBrandon PirriGabriel BourqueSeth Helgeson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
William Carrier, Gabriel Bourque, Michael BournivalWilliam Carrier, Gabriel BourqueMichael Bournival
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Larsson, Aaron Ness, Victor Mete,
Tirs de Pénalité
Gabriel Bourque, Brandon Pirri, Jacob Josefson, Freddie Hamilton, William Carrier
Gardien
#1 : Alex Stalock, #2 : Dustin Tokarski


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
1Casse-Tete40400000718-112020000048-420200000310-700.0007132000119911061151309791665530421317.69%15473.33%013722660.62%16429555.59%11217663.64%2331492868316083
2Evil Saints743000002325-244000000149530300000916-780.57123426500119912451151309793131096174201050.00%31874.19%013722660.62%16429555.59%11217663.64%2331492868316083
Total1147000003043-136420000018171505000001226-1480.364305585001199135111513097947916491116331133.33%461273.91%013722660.62%16429555.59%11217663.64%2331492868316083
_Since Last GM Reset1147000003043-136420000018171505000001226-1480.364305585001199135111513097947916491116331133.33%461273.91%013722660.62%16429555.59%11217663.64%2331492868316083
_Vs Conference1147000003043-136420000018171505000001226-1480.364305585001199135111513097947916491116331133.33%461273.91%013722660.62%16429555.59%11217663.64%2331492868316083

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
118L43055853514791649111600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
114700003043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200001817
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
50500001226
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
331133.33%461273.91%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
11513097911991
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
13722660.62%16429555.59%11217663.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2331492868316083


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 - 2019-04-034Evil Saints1Zombie2WSommaire du Match
2 - 2019-04-0412Evil Saints3Zombie4WSommaire du Match
3 - 2019-04-0520Zombie3Evil Saints4LSommaire du Match
4 - 2019-04-0628Zombie3Evil Saints4LSommaire du Match
5 - 2019-04-0736Evil Saints2Zombie3WXSommaire du Match
6 - 2019-04-0844Zombie3Evil Saints8LSommaire du Match
7 - 2019-04-0952Evil Saints3Zombie5WSommaire du Match
8 - 2019-04-1057Zombie3Casse-Tete6LSommaire du Match
9 - 2019-04-1161Zombie0Casse-Tete4LSommaire du Match
10 - 2019-04-1265Casse-Tete3Zombie2LSommaire du Match
11 - 2019-04-1369Casse-Tete5Zombie2LSommaire du Match



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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,938,817$ 1,268,083$ 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
20168453210115354319434942301100010284107177422310011432598717210654395715000518218517010275292891987262213980094417052938227.99%2685679.10%181175173367.80%1013153366.08%896133167.32%2133143816686521278668
201784313703661242224184217180123110610514214190243013611917622424216632482698210246081880080959243684160121382894716.26%2857175.09%4957167957.00%854166051.45%51299851.30%1925119718476881322675
20178457100443631614816842312032131776711042268012231398158114316548864081031188812275889190693262237386731218463136219.81%1532384.97%5898179749.97%734150948.64%551104152.93%2030134217776651288661
201882432702262399211188412710020202208913141161700242179122578639968410832314214110812263592888079966289098365614782956522.03%3186180.82%21906162355.82%1081193255.95%675116857.79%1790110218836811295656
Total Saison Régulière3341849501013201215007777231671054106474787368419167795404913871340930436815002610411042050951344844106053565350534122499838349125137167119025621.51%102421179.39%483936683257.61%3682663455.50%2634453858.04%788050817175268851852660
Séries
2016624000001419-53120000078-131200000711-4414243800445120059636315185526312427311.11%241058.33%010013772.99%8312466.94%497169.01%1661071335710856
201651400000619-132110000036-330300000313-10261016001500107394028017580408022313.64%20670.00%0218225.61%4411239.29%286245.16%8644135457839
2017954000001919043100000103752300000916-71019264504477128689831068199756822819315.79%34488.24%012818170.72%8213162.60%599661.46%2471671726213273
201719145000006933361091000005015359540000019181286912419302222421262321220119614510175108395771215.58%55689.09%118441844.02%15535643.54%12523353.65%463302406158295149
20181147000003043-136420000018171505000001226-148305585001199135111513097947916491116331133.33%461273.91%013722660.62%16429555.59%11217663.64%2331492868316083
Total Séries502624000001381335251870000088493925817000005084-345213823937706424942515675145174904615485463709431783217.98%1793878.77%1570104454.60%528101851.87%37363858.46%11967711134407775401