Leftovers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Francois Bedard | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralFrancois Bedard
EntraîneurDavid Quinn
DivisionLafleur
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure23
Limite contact 55 / 60
Espoirs40


Historique d'équipe

Saison actuelle0-0
Historique314-307-61 (0.460%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)16-9
Stanley Cup0


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
1Luke Kunin0X100.007663798371718762565048702559590476802221,425,000$
2Jujhar Khaira0X100.008661827881637968474846732561610506702621,200,000$
3Vinni Lettieri0X100.00756081677073856362434272634747050670252700,000$
4Steven Fogarty0X100.00756588627770867461434364574545050660272700,000$
5Joakim Nordstrom0X100.008251907470637657284746752568700506502821,000,000$
6Anthony Angello0X100.00767969667974785873383864604444050650242925,000$
7Boo Nieves0X100.00786690767963705859454472485959050650262700,000$
8Pontus Aberg0XX100.00726084767073786242454461625455050650272700,000$
9Klim Kostin (R)0XXX100.007674657074747657723939655945450506402121,075,833$
10Austin Czarnik0X100.006357858058636467624544686762630506402711,250,000$
11Greg McKegg0X100.00755190717055805951474768256364050630282750,000$
12Markus Hannikainen0X100.00796795647257596153424268574950050620272750,000$
13Mark Borowiecki0XX100.009960656876727066444239822566670506403111,440,000$
14Mike Reilly0X100.007242867873756867254438612560600506202721,500,000$
15Alex Biega0X100.00894485706871646139423870536565050610322990,000$
16Joe Hicketts0X100.00736692666175815729373766384949050590242700,000$
17Dean Kukan0X100.00684689687066546325423862255960050590272725,000$
18Robert Bortuzzo0X100.008153827082636854254139662566680505903111,656,000$
Rayé
1Tobias Rieder0XXX100.00684196846760785931484672256768050640272700,000$
2Nic Petan0XX100.00614693796255576553494575255959050620252775,000$
3Scott Wilson0X100.007570867366585862424342695858590506202811,050,000$
4Phillip Di Giuseppe0X100.00815288797354745633464465255757050610262700,000$
5Kalle Kossila0XXX100.00746589536461545569404063584646050600271650,000$
6Mason Marchment0X100.00777965607760595850383864644444050600252700,000$
7Joakim Nygard (R)0X100.00654191906557616144494661254747050590272925,000$
8Libor Hajek0X100.00734387677568745725423882254747050600221894,166$
9Anthony Bitetto0X100.00917084707864625825413875756465047600302650,000$
10Jaycob Megna0X100.00827383608670805128343371395252050570271650,000$
11Kevin Gravel0X100.00806991708056555025333267385657050530282700,000$
MOYENNE D’ÉQUIPE100.0077598471726570604443416942565605062
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
1Christopher Gibson100.0058638372586252615856304545050610
2Michael Hutchinson100.0050616781584751525257785959050570
Rayé
1Antoine Bibeau (R)100.0049527282444850565045304444050550
MOYENNE D’ÉQUIPE100.005259747853525156535346494905058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn94867957717650USA543450,000$


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’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
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 Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex BiegaLeftovers (Tru)D321988-04-04No193 Lbs178 CMNoNoNo2Pro & Farm990,000$565,714$0$0$No990,000$Lien / Lien NHL
Anthony AngelloLeftovers (Tru)C241996-03-06No209 Lbs196 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Anthony BitettoLeftovers (Tru)D301990-07-14No210 Lbs185 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Antoine BibeauLeftovers (Tru)G261994-05-01Yes207 Lbs191 CMNoNoNo2Pro & Farm675,000$385,714$0$0$No675,000$Lien NHL
Austin CzarnikLeftovers (Tru)C271992-12-12No160 Lbs175 CMNoNoNo1Pro & Farm1,250,000$714,285$0$0$NoLien / Lien NHL
Boo NievesLeftovers (Tru)C261994-01-23No212 Lbs191 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Christopher GibsonLeftovers (Tru)G271992-12-27No188 Lbs185 CMNoNoNo1Pro & Farm675,000$385,714$0$0$NoLien / Lien NHL
Dean KukanLeftovers (Tru)D271993-07-08No186 Lbs188 CMNoNoNo2Pro & Farm725,000$414,285$0$0$No725,000$Lien / Lien NHL
Greg McKeggLeftovers (Tru)C281992-06-17No191 Lbs183 CMNoNoNo2Pro & Farm750,000$428,571$0$0$No750,000$Lien / Lien NHL
Jaycob MegnaLeftovers (Tru)D271992-12-10No225 Lbs198 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Joakim NordstromLeftovers (Tru)C281992-02-25No189 Lbs185 CMNoNoNo2Pro & Farm1,000,000$571,428$0$0$No1,000,000$Lien / Lien NHL
Joakim NygardLeftovers (Tru)LW271993-01-08Yes179 Lbs183 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Joe HickettsLeftovers (Tru)D241996-05-04No175 Lbs173 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Jujhar KhairaLeftovers (Tru)LW261994-08-13No214 Lbs193 CMNoNoNo2Pro & Farm1,200,000$685,714$0$0$No1,200,000$Lien / Lien NHL
Kalle KossilaLeftovers (Tru)C/LW/RW271993-04-14No175 Lbs180 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Kevin GravelLeftovers (Tru)D281992-03-06No212 Lbs193 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Klim KostinLeftovers (Tru)C/LW/RW211999-05-05Yes196 Lbs191 CMNoNoNo2Pro & Farm1,075,833$614,761$0$0$No1,075,833$Lien / Lien NHL
Libor HajekLeftovers (Tru)D221998-02-03No202 Lbs188 CMNoNoNo1Pro & Farm894,166$510,952$0$0$NoLien / Lien NHL
Luke KuninLeftovers (Tru)C221997-12-04No193 Lbs183 CMNoNoNo2Pro & Farm1,425,000$814,285$0$0$No1,425,000$Lien / Lien NHL
Mark BorowieckiLeftovers (Tru)LW/D311989-07-12No207 Lbs185 CMNoNoNo1Pro & Farm1,440,000$822,857$0$0$NoLien / Lien NHL
Markus HannikainenLeftovers (Tru)LW271993-03-25No190 Lbs188 CMNoNoNo2Pro & Farm750,000$428,571$0$0$No750,000$Lien / Lien NHL
Mason MarchmentLeftovers (Tru)LW251995-03-06No204 Lbs193 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Michael HutchinsonLeftovers (Tru)G301990-03-01No202 Lbs191 CMNoNoNo2Pro & Farm840,000$480,000$0$0$No840,000$Lien / Lien NHL
Mike ReillyLeftovers (Tru)D271993-07-12No195 Lbs188 CMNoNoNo2Pro & Farm1,500,000$857,142$0$0$No1,500,000$Lien / Lien NHL
Nic PetanLeftovers (Tru)C/LW251995-03-21No179 Lbs175 CMNoNoNo2Pro & Farm775,000$442,857$0$0$No775,000$Lien / Lien NHL
Phillip Di GiuseppeLeftovers (Tru)RW261993-10-09No201 Lbs183 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Pontus AbergLeftovers (Tru)LW/RW271993-09-22No196 Lbs180 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Robert BortuzzoLeftovers (Tru)D311989-03-18No216 Lbs193 CMNoNoNo1Pro & Farm1,656,000$946,285$0$0$NoLien / Lien NHL
Scott WilsonLeftovers (Tru)RW281992-04-24No183 Lbs180 CMNoNoNo1Pro & Farm1,050,000$600,000$0$0$NoLien / Lien NHL
Steven FogartyLeftovers (Tru)C271993-04-18No206 Lbs191 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Tobias RiederLeftovers (Tru)C/LW/RW271993-01-09No186 Lbs180 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Vinni LettieriLeftovers (Tru)C251995-02-06No195 Lbs180 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3226.72196 Lbs185 CM1.75899,094$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergLuke KuninGreg McKegg40014
2Markus HannikainenAnthony AngelloAustin Czarnik30113
3Jujhar KhairaJoakim NordstromSteven Fogarty20221
4Vinni LettieriBoo NievesAnthony Angello10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiAlex Biega40122
2Robert BortuzzoDean Kukan30122
3Joe HickettsMike Reilly20122
4Mike ReillyMark Borowiecki10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jujhar KhairaVinni LettieriPontus Aberg60122
2Markus HannikainenAnthony AngelloAustin Czarnik40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiAlex Biega60122
2Robert BortuzzoDean Kukan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaVinni Lettieri60122
2Anthony AngelloJoakim Nordstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiAlex Biega60122
2Robert BortuzzoDean Kukan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Czarnik60122Mark BorowieckiAlex Biega60122
2Vinni Lettieri40122Robert BortuzzoDean Kukan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaVinni Lettieri60122
2Anthony AngelloJoakim Nordstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiAlex Biega60122
2Robert BortuzzoDean Kukan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaVinni LettieriKlim KostinMark BorowieckiAlex Biega
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaAustin CzarnikPontus AbergMark BorowieckiAlex Biega
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Czarnik, Greg McKegg, Jujhar KhairaAustin Czarnik, Greg McKeggBoo Nieves
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Hicketts, Dean Kukan, Mark BorowieckiJoe HickettsMark Borowiecki, Dean Kukan
Tirs de pénalité
Jujhar Khaira, Vinni Lettieri, Anthony Angello, Joakim Nordstrom, Boo Nieves
Gardien
#1 : Christopher Gibson, #2 : Michael Hutchinson


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
TotalDomicileVisiteur
# 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 pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 matchs 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
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,877,100$ 2,832,683$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




TotalDomicileVisiteur
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
2016845618003343742691054232700120202142604224110021417212745125374677105135013911012227260952841908238986683915692777828.16%2794284.95%131068178060.00%952159759.61%652123752.71%2138148717366241202610
2016834522073244391912484128702112251851664217150521218810682115439768120704013813315925770822880845219181092918282736222.71%3185582.70%141019163962.17%965156761.58%774120664.18%2065136316996581263654
201784293905146245378-13342161702034119191-7242132203112126187-618324541866314081758022000697754716259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
2017842439073653042455942161405313169104654282502052135141-6823045308342301121017825620826851831231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
20188243240424546528917641271000031240124116411614042142251656010946583112960201901581093221011661051975263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
20188224480342147337499411520022202611738841928012012122011163473824129722020014512330290116591094029221056130115222716122.51%54914573.59%251112178462.33%1211197461.35%880141562.19%1895123318526531204603
201984215204142282322-4042152002041169139304263202101113183-7061282511793000978295279009679019072824932109716673047625.00%54314074.22%14986182054.18%1045194153.84%598116451.37%1924124219246851230599
202084146503101319539-2204293201000172244-724253302101147295-14836319524843001029811642811939896963172565105878916323307723.33%39413266.50%8919165655.50%764142053.80%752141953.00%1950124518126741290646
Total Saison régulière667256307033182528290126072943331581270147161115831202381334981800191191713181405-87674290150837984820102105592077021916939749171516139204327299721313481235953922.85%317173376.88%12378971387556.92%76911351656.90%56441007656.01%1585610355144825321100545068
Séries éliminatoires
2016161150000055352076100000321220954000002323022551021570202121115560169189189431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2016954000001918153200000101004220000098110193251000936293011370106247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
Total Séries éliminatoires25169000007453211293000004222201376000003231132741342080203024178490282259295678238279503832125.30%981683.67%332054358.93%29849959.72%18631259.62%655450509191359185