beholdershellpepitosKingspatriots

 

 


Leftovers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Francois Bedard | Morale : 50 | Moyenne d'Équipe : 77
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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
1Tobias Rieder0XXX100.00543487384273836847828376685851025820
2Jujhar Khaira0X100.00835753438357767169808167624239050810
3Jamie McGinn0XX100.00814269357462716939798165656858050800
4Scott Laughton0XX100.00825053455450777078808165705050050780
5Scott Wilson0X100.00854072324054746742808166616361047780
6Joakim Nordstrom0X100.00813878475252786252788266675656050770
7Nail Yakupov0XX100.00613566364949697431818565734944047770
8Oscar Lindberg0XX100.00813468446552786672798260615847047770
9Phillip Di Giuseppe0X100.00853968405950767031828265724334050770
10Pontus Aberg0XX100.00452281414956836736837969635142050770
11Matt Martin0XX100.00995743519137806442807849666072050760
12Boo Nieves (R)0X100.00672966537446736278816872633732050730
13Brett Pesce0X100.00452779426475758331837290604032083850
14Robert Bortuzzo0X100.00825063488752648226807376595554047810
15Alex Biega0X100.00873661475352848329817371625351019800
16Kevin Gravel0X100.00693376467752878230817161634639050790
17Mike Reilly0X100.00442365435853848428847257634540050790
18Mark Borowiecki0XX100.00965044508452568132797170565260025790
19Ryan Sproul0X100.00393367457257768130807158634640047780
Rayé
1Markus Hannikainen0X100.00742369496137786635798059684944050730
2Filip Chytil0XXX100.00363170585663805953707864653129018720
3Austin Czarnik0X100.00403374392657816555827743684947047720
4Vinni Lettieri0X100.00673480514755786037747953643935050710
5Nic Petan0XX100.00353866393245806469808041635050050710
6Steven Fogarty (R)0X100.00733169707356775631677356654142050700
7Kalle Kossila0XXX100.00552886603640775952707457644235047670
8Chris Wideman0X100.00573963424148628729827556665147016770
9Julian Melchiori0X100.00694068598266736930726664644638050760
10Jaycob Megna0X100.00383275588457767130736763634134047750
11Yannick Weber0X100.00593369496243638126787149706253050750
12Jakub Nakladal0X100.00513485607752696931726553646150050730
13Chris Bigras0X100.00503367584750807130736762634344047720
14Dean Kukan0X100.00363272564945607330746960645344050720
MOYENNE D'ÉQUIPE100.0064366948615375714178756264494504676
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
1Michael Hutchinson100.0083836880848689868884736171046860
2Christopher Gibson100.0081916777838390858666714960047830
Rayé
1Antoine Bibeau100.0080866681818189848468714257047810
MOYENNE D'ÉQUIPE100.008187677983838985867372516304783
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn70707070707070CAN464450,000$


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
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex BiegaLeftovers (Tru)D301988-04-04No193 Lbs178 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Antoine BibeauLeftovers (Tru)G241994-05-01No213 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien
Austin CzarnikLeftovers (Tru)C251992-12-12No160 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm1,250,000$0$0$NoLien
Boo NievesLeftovers (Tru)C241994-01-23Yes212 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brett PesceLeftovers (Tru)D231994-11-15No200 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm809,167$0$0$NoLien / Lien NHL
Chris BigrasLeftovers (Tru)D231995-02-22No190 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm874,125$0$0$NoLien / Lien NHL
Chris WidemanLeftovers (Tru)D281990-01-07No183 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Christopher GibsonLeftovers (Tru)G251992-12-27No188 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Dean KukanLeftovers (Tru)D251993-07-08No186 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Filip ChytilLeftovers (Tru)C/LW/RW191999-09-05No202 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,275,000$0$0$NoLien
Jakub NakladalLeftovers (Tru)D301987-12-30No212 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm1,110,000$0$0$NoLien / Lien NHL
Jamie McGinnLeftovers (Tru)LW/RW301988-08-05No205 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Jaycob MegnaLeftovers (Tru)D251992-12-10No219 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Joakim NordstromLeftovers (Tru)C261992-02-25No189 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,275,000$0$0$NoLien / Lien NHL
Jujhar KhairaLeftovers (Tru)LW241994-08-13No214 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Julian MelchioriLeftovers (Tru)D261991-12-06No214 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Kalle KossilaLeftovers (Tru)C/LW/RW251993-04-14No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Kevin GravelLeftovers (Tru)D261992-03-06No212 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Mark BorowieckiLeftovers (Tru)LW/D291989-07-12No207 Lbs185 CMNoNoNo2Sans RestrictionPro & Farm1,440,000$0$0$NoLien / Lien NHL
Markus HannikainenLeftovers (Tru)LW251993-03-26No200 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Matt MartinLeftovers (Tru)LW/RW291989-05-08No220 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Michael HutchinsonLeftovers (Tru)G281990-03-02No202 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Mike ReillyLeftovers (Tru)D251993-07-13No195 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Nail YakupovLeftovers (Tru)LW/RW241993-10-06No195 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm962,500$0$0$NoLien / Lien NHL
Nic PetanLeftovers (Tru)C/LW231995-03-22No179 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Oscar LindbergLeftovers (Tru)C/RW261991-10-29No202 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,700,000$0$0$NoLien / Lien NHL
Phillip Di GiuseppeLeftovers (Tru)RW241993-10-09No200 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Pontus AbergLeftovers (Tru)LW/RW251993-09-23No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Robert BortuzzoLeftovers (Tru)D291989-03-18No216 Lbs193 CMNoNoNo2Sans RestrictionPro & Farm1,656,000$0$0$NoLien / Lien NHL
Ryan SproulLeftovers (Tru)D251993-01-13No205 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm687,500$0$0$NoLien / Lien NHL
Scott LaughtonLeftovers (Tru)C/LW241994-05-30No190 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm962,500$0$0$NoLien / Lien NHL
Scott WilsonLeftovers (Tru)RW261992-04-24No183 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm1,050,000$0$0$NoLien / Lien NHL
Steven FogartyLeftovers (Tru)C251993-04-19Yes209 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Tobias RiederLeftovers (Tru)C/LW/RW251993-01-10No188 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm2,225,000$0$0$NoLien / Lien NHL
Vinni LettieriLeftovers (Tru)C231995-02-06No195 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Yannick WeberLeftovers (Tru)D301988-09-23No200 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm1,224,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3625.64199 Lbs185 CM1.33931,272$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jujhar KhairaOscar LindbergTobias Rieder26014
2Pontus AbergScott LaughtonPhillip Di Giuseppe25113
3Jamie McGinnJoakim NordstromScott Wilson25113
4Matt MartinBoo NievesNail Yakupov24131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceRobert Bortuzzo38122
2Alex BiegaMark Borowiecki37122
3Kevin GravelRyan Sproul25122
4Robert BortuzzoRyan Sproul0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jujhar KhairaScott LaughtonJamie McGinn60113
2Pontus AbergOscar LindbergScott Wilson40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceRobert Bortuzzo60122
2Ryan SproulAlex Biega40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tobias RiederPhillip Di Giuseppe60122
2Oscar LindbergPontus Aberg40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulKevin Gravel60122
2Mark BorowieckiAlex Biega40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tobias Rieder60122Alex BiegaRobert Bortuzzo60122
2Scott Laughton40122Kevin GravelRyan Sproul40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Boo NievesMatt Martin60122
2Scott LaughtonTobias Rieder40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelBrett Pesce60212
2Mark BorowieckiAlex Biega40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jujhar KhairaScott LaughtonJamie McGinnMark BorowieckiRyan Sproul
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tobias RiederJoakim NordstromJamie McGinnBrett PesceAlex Biega
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Pontus Aberg, Nail Yakupov, Joakim NordstromJoakim Nordstrom, Jujhar KhairaBoo Nieves
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Biega, Brett Pesce, Kevin GravelKevin GravelKevin Gravel, Mark Borowiecki
Tirs de Pénalité
Oscar Lindberg, Jujhar Khaira, Tobias Rieder, Scott Wilson, Scott Laughton
Gardien
#1 : Michael Hutchinson, #2 : Christopher Gibson


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,352,580$ 2,691,896$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
20168446220732444219225042297021122548616842171505212188106829244277412160413813416111260683388985451221481993918532756222.55%3235682.66%141033165662.38%987159162.04%783121764.34%2097138617146651277661
2017842439073653042455942161405313169104654282502052135141-648304530834231121017818256282685183191231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201784165205506136447-311429220440377232-155427300110359215-156321362423782432485111180555558263558248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
201882244803421473374994115200222026117388419280120121220111484738241297222001451238302911659109402529221056130115222716122.51%54914573.59%251112178462.33%1211197461.35%880141562.19%1895123318526531204603
Total Saison Régulière334110161022151016135512589716769630131048761595166167419809568594663-6922013552370372561348242841348100023379323232602259933356534706730110920918.85%148230879.22%603872653559.25%4015674359.54%2890492958.63%774449427344271151712616
Séries
2016954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
201640400000322-192020000037-420200000015-15033600030077292123416958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
2017514000001119-82110000076130300000413-92111829004250191654776317473569311327.27%29968.97%17710573.33%8212864.06%446765.67%12484111376734
2018514000001827-9211000001210230300000617-112183452009630154674339521871948426311.54%371267.57%04510742.06%8314955.70%447757.14%10361132457435
Total Séries23716000005186-351156000003233-112210000001953-3414518713800221414171527418124416808296278434701014.29%1163272.41%325946256.06%32557456.62%17229558.31%541356551182325160