Connexion

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 : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 60
Espoirs43


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique168-213-47 (0.393%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)5-4
Coupe Stanley0


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
1Ryan McLeod0X100.00634294777664846773494777255556050670231925,000$
2Morgan Barron (R)0XXX100.008346907283566757614745657546460506202311,775,000$
3Julien Gauthier0X100.00854694778456656034474661255757050610242775,000$
4Haydn Fleury0X100.008259887678696758254039807562620506102621,300,000$
5Mark Borowiecki0X100.00999935747962655725403887636969050610331650,000$
6Zachary Jones (R)0X100.00614099706266636125423873754646050590211925,000$
7Libor Hajek0X100.00634286767561615425403872255656050570241894,166$
8Alex Biega0X100.007169757069565951253131654065650505303400$
Rayé
1Jujhar Khaira0XX100.00987085788166616165464780256465050680282975,000$
2Luke Kunin0XX100.009295678372668662434848692564650506802432,300,000$
3Steven Fogarty0XXX100.00787684627668706278434366544646050650292750,000$
4Greg McKegg0XXX100.00774495717058565855474677256565050640302900,000$
5Jonny Brodzinski0X100.00634286737858646165474671255353050630291650,000$
6Vinni Lettieri0XX100.00784393676763677051494859255353050630272750,000$
7Mason Shaw (R)0X100.00636755676771736480434359594444050630232750,000$
8Anthony Angello0X100.00807982667963655750393966534646050620262725,000$
9Nic Petan0XX100.00614092796256646844484565256060050610272750,000$
10Klim Kostin0XX100.008859837479535858444847612549490506002321,075,833$
11Jaycob Megna (R)0X100.00814688688578776125413990255757050650292750,000$
12Dean Kukan0X100.007543887770696464254339752563630506202921,650,000$
13Alec Regula (R)0X100.00794577707875646725393978254545050620221894,167$
14Braden Schneider (R)0X100.007958927577676255254339722547470505902121,325,000$
15Nils Lundkvist (R)0X100.006742997666645864254138662546460505802221,775,000$
16Darren Raddysh (R)0X100.00767481677466705325333365415353050560262750,000$
MOYENNE D’ÉQUIPE100.0077578473746466604243427138555505062
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 SPÂgeContratSalaire
1Ukko-Pekka Luukkonen (R)100.0050516488505150555151304545050560231910,833$
Rayé
1Michael Hutchinson100.00484455804948505449493059600505403221,008,000$
MOYENNE D’ÉQUIPE100.004948608450505055505030525305055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn94867957717650USA561450,000$


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
Alec RegulaLeftovers (Tru)D228/5/2000Yes208 Lbs193 CMNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Alex BiegaLeftovers (Tru)D344/4/1988No199 Lbs178 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Anthony AngelloLeftovers (Tru)RW263/6/1996No209 Lbs196 CMNoNoNo2Pro & Farm725,000$725,000$0$0$No725,000$Lien / Lien NHL
Braden SchneiderLeftovers (Tru)D219/20/2001Yes209 Lbs188 CMNoNoNo2Pro & Farm1,325,000$1,325,000$0$0$No1,325,000$
Darren RaddyshLeftovers (Tru)D262/28/1996Yes200 Lbs185 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Dean KukanLeftovers (Tru)D297/8/1993No186 Lbs188 CMNoNoNo2Pro & Farm1,650,000$1,650,000$0$0$No1,650,000$Lien / Lien NHL
Greg McKeggLeftovers (Tru)C/LW/RW306/17/1992No192 Lbs183 CMNoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Haydn FleuryLeftovers (Tru)D267/8/1996No208 Lbs191 CMNoNoNo2Pro & Farm1,300,000$1,300,000$0$0$No1,300,000$Lien / Lien NHL
Jaycob MegnaLeftovers (Tru)D2912/10/1992Yes221 Lbs198 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Jonny BrodzinskiLeftovers (Tru)RW296/19/1993No215 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Jujhar KhairaLeftovers (Tru)C/LW288/13/1994No212 Lbs193 CMNoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Lien / Lien NHL
Julien GauthierLeftovers (Tru)RW2410/15/1997No227 Lbs193 CMNoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Klim KostinLeftovers (Tru)LW/RW235/5/1999No212 Lbs191 CMNoNoNo2Pro & Farm1,075,833$1,075,833$0$0$No1,075,833$Lien / Lien NHL
Libor HajekLeftovers (Tru)D242/4/1998No203 Lbs188 CMNoNoNo1Pro & Farm894,166$894,166$0$0$NoLien / Lien NHL
Luke KuninLeftovers (Tru)C/RW2412/4/1997No193 Lbs183 CMNoNoNo3Pro & Farm2,300,000$2,300,000$0$0$No2,300,000$2,300,000$Lien / Lien NHL
Mark BorowieckiLeftovers (Tru)D337/12/1989No207 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Mason ShawLeftovers (Tru)C2311/2/1998Yes180 Lbs175 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Michael HutchinsonLeftovers (Tru)G323/1/1990No198 Lbs191 CMNoNoNo2Pro & Farm1,008,000$1,008,000$0$0$No1,008,000$Lien / Lien NHL
Morgan BarronLeftovers (Tru)C/LW/RW2312/2/1998Yes220 Lbs193 CMNoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Nic PetanLeftovers (Tru)LW/RW273/22/1995No175 Lbs175 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nils LundkvistLeftovers (Tru)D227/27/2000Yes187 Lbs178 CMNoNoNo2Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$Lien
Ryan McLeodLeftovers (Tru)C239/21/1999No207 Lbs188 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Steven FogartyLeftovers (Tru)C/LW/RW294/19/1993No204 Lbs191 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Ukko-Pekka LuukkonenLeftovers (Tru)G233/8/1999Yes220 Lbs193 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Vinni LettieriLeftovers (Tru)C/RW272/6/1995No185 Lbs180 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Zachary JonesLeftovers (Tru)D2110/18/2000Yes172 Lbs178 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.08202 Lbs188 CM1.65997,423$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
134014
2Morgan Barron31113
321221
4Ryan McLeodJulien Gauthier14131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex Biega36122
235122
3Libor Hajek29122
4Libor Hajek0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Julien Gauthier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Libor Hajek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Julien Gauthier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Libor Hajek60122
2Alex Biega40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Libor Hajek60122
240122Alex Biega40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Libor Hajek60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Libor Hajek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Libor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Libor Hajek,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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$ 2,593,300$ 2,283,300$ 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$ 0 0$ 0$




Leftovers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Johan Larsson20712818731518710632736072217.73%164467622.592944731421111225614465.77101.35419
2Andrej Nestrasil21088151239139228527957315.36%102416719.8419436211075123818649.4131.15615
3Brock McGinn16685138223417027825071411.90%154350321.112845731623693313544.7441.27518
4Tyler Motte1661031112147211031919263016.35%96288917.402729561411121212741.5781.4805
5Markus Granlund238801161967110414031860113.31%156384416.1515274297325159356.0821.02310

Leftovers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Darcy Kuemper1599650130.9262.16957468344465325191140.69656
2Curtis McElhinney84562080.9282.45507440207288017711510.75024
3Garret Sparks84274980.8863.7249582130726911396250.79434
4Jhonas Enroth179700.8973.519400055534291000.6673
5Linus Ullmark10000.8245.1435003177000.00%0

Leftovers Statistiques de l'Équipe de Carrière

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
20168456180033437426910542327001202021426042241100214172127451253746771051351391101226272695284190850238986683915692777828.16%2794284.95%131068178060.00%952159759.61%652123752.71%2138148717366241202610
201784293905146245378-13342161702034119191-7242132203112126187-61832454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
2018823930053143992221774124802313214100114411522030011851226397399713111212159126108729141069936887352830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
201984194903454223365-14242111803334131166-35428310012092199-1076222339161451977147123001107997492952274595876816553527320.74%3729973.39%91075203752.77%856181947.06%562113849.38%1978131119016681221594
202084502001553421216205422970042023895143422113011331831216212042162710481013814912892815934980873522886114644413613429327.19%2295874.67%10764155249.23%749161446.41%613120450.91%1864123620006761224593
Total Saison régulière41713121302413132315731651-78208828501310513873755118209491280113810700896-196372157326744247610544501491551261541574213409929213400499534488273140828420.17%155635777.06%594242799353.07%4361849451.34%3212609052.74%935359649540334563763202
Séries éliminatoires
2016161150000055352076100000321220954000002323022551021570221211125561691891899431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2020159600000523814752000002417784400000282171852681200015231225331921651532360121020166531833.96%110100.00%113831543.81%11128738.68%7119436.60%29119842311720791
Total Séries éliminatoires954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565

Leftovers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Joey Anderson152383140244012019.17%2528218.8375122900008146.1232.2000
2Dylan Sikura1562127301113807.50%628318.9237101400000255.5601.9000
3Tom Kuhnhackl16615214624114313.95%123614.8035870000108.3301.7700
4Andrej Nestrasil165121702923559.09%1435322.0828101300010052.0200.9600
5John Moore1641216049243810.53%1938323.94325111011200.00%00.8400

Leftovers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Darcy Kuemper1611500.9192.169742235431218000.00%0
2Curtis McElhinney159510.9372.489212038601393500.00%0