Version obsolète du STHS! Veuillez mettre à jour votre version!
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
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 Pro24
Équipe Mineure21
Limite contact 45 / 60
Espoirs61


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique215-326-54 (0.361%)
Apparitions en séries éliminatoires 4
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
1Jujhar Khaira0XX100.00987085788166616165464780256465050690281975,000$
2Ryan McLeod0X100.006342947776648467734947772555560506702300$
3Steven Fogarty0XXX100.00787684627668706278434366544646050650291750,000$
4Greg McKegg0XXX100.00774495717058565855474677256565050640301900,000$
5Jonny Brodzinski0X100.006342867378586461654746712553530506302900$
6Vinni Lettieri0XX100.00784393676763677051494859255353050630271750,000$
7Mason Shaw0X100.00636755676771736480434359594444050630231750,000$
8Anthony Angello0X100.00807982667963655750393966534646050620261725,000$
9Julien Gauthier0X100.00854694778456656034474661255757050610241775,000$
10Nic Petan0XX100.00614092796256646844484565256060050610271750,000$
11Joel Kiviranta0XX100.008244938066546758254845642555550506002611,050,000$
12Klim Kostin0XX100.008859837479535858444847612549490506002311,075,833$
13Dean Kukan0X100.007543887770696464254339752563630506202911,650,000$
14Alec Regula (R)0X100.007945777078756467253939782545450496202200$
15Haydn Fleury0X100.008259887678696758254039807562620506102611,300,000$
16Braden Schneider (R)0X100.007958927577676255254339722547470505902111,325,000$
17Zachary Jones (R)0X100.006140997062666361254238737546460505902100$
18Gabriel Carlsson0X100.00694391787860576025423971255858050590251750,000$
19Nils Lundkvist (R)0X100.006742997666645864254138662546460505802211,775,000$
20Libor Hajek0X100.006342867675616154254038722556560505702400$
Rayé
1Darren Raddysh0X100.00767481677466705325333365415353050560261750,000$
MOYENNE D’ÉQUIPE100.0075528773736365614244426935535405061
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)0100.00505164885051505551513045450505602300$
2Michael Hutchinson0100.00484455804948505449493059600505403211,008,000$
Rayé
1Jack LaFontaine (R)0100.00464050824648515351513044440505302411,000,000$
MOYENNE D’ÉQUIPE100.004845568348495054505030495005054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn94867957717650USA574450,000$


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 Waiver Possible 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 CMNoNoNoNo0Pro & Farm0$0$NoLien
Anthony AngelloLeftovers (Tru)RW263/6/1996No209 Lbs196 CMNoNoNoNo1Pro & Farm725,000$725,000$0$0$NoLien / Lien NHL
Braden SchneiderLeftovers (Tru)D219/20/2001Yes209 Lbs188 CMNoNoNoNo1Pro & Farm1,325,000$1,325,000$0$0$NoLien
Darren RaddyshLeftovers (Tru)D262/28/1996No200 Lbs185 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Dean KukanLeftovers (Tru)D297/8/1993No186 Lbs188 CMNoNoNoNo1Pro & Farm1,650,000$1,650,000$0$0$NoLien / Lien NHL
Gabriel CarlssonLeftovers (Tru)D251/2/1997No203 Lbs196 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Greg McKeggLeftovers (Tru)C/LW/RW306/17/1992No192 Lbs183 CMNoNoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Haydn FleuryLeftovers (Tru)D267/8/1996No208 Lbs191 CMNoNoNoNo1Pro & Farm1,300,000$1,300,000$0$0$NoLien / Lien NHL
Jack LaFontaineLeftovers (Tru)G241/6/1998Yes209 Lbs191 CMNoNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Joel KivirantaLeftovers (Tru)LW/RW263/23/1996No180 Lbs180 CMNoNoNoNo1Pro & Farm1,050,000$1,050,000$0$0$NoLien / Lien NHL
Jonny BrodzinskiLeftovers (Tru)RW296/19/1993No215 Lbs185 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Jujhar KhairaLeftovers (Tru)C/LW288/13/1994No212 Lbs193 CMNoNoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Julien GauthierLeftovers (Tru)RW2410/15/1997No227 Lbs193 CMNoNoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Klim KostinLeftovers (Tru)LW/RW235/5/1999No212 Lbs191 CMNoNoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien / Lien NHL
Libor HajekLeftovers (Tru)D242/4/1998No203 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mason ShawLeftovers (Tru)C2311/2/1998No180 Lbs175 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Michael HutchinsonLeftovers (Tru)G323/1/1990No198 Lbs191 CMNoNoNoNo1Pro & Farm1,008,000$1,008,000$0$0$NoLien / Lien NHL
Nic PetanLeftovers (Tru)LW/RW273/22/1995No175 Lbs175 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nils LundkvistLeftovers (Tru)D227/27/2000Yes187 Lbs178 CMNoNoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Ryan McLeodLeftovers (Tru)C239/21/1999No207 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien
Steven FogartyLeftovers (Tru)C/LW/RW294/19/1993No204 Lbs191 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Ukko-Pekka LuukkonenLeftovers (Tru)G233/8/1999Yes220 Lbs193 CMNoNoNoNo0Pro & Farm0$0$NoLien
Vinni LettieriLeftovers (Tru)C/RW272/6/1995No185 Lbs180 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Zachary JonesLeftovers (Tru)D2110/18/2000Yes172 Lbs178 CMNoNoNoNo0Pro & Farm0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.42200 Lbs188 CM0.75752,451$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven FogartyJujhar KhairaVinni Lettieri34014
2Greg McKeggRyan McLeodJonny Brodzinski31113
3Nic PetanGreg McKeggAnthony Angello21221
4Joel KivirantaMason ShawJulien Gauthier14131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanHaydn Fleury36122
2Gabriel CarlssonBraden Schneider35122
3Zachary JonesNils Lundkvist29122
4Gabriel CarlssonHaydn Fleury0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven FogartyJujhar KhairaVinni Lettieri60122
2Greg McKeggRyan McLeodJonny Brodzinski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary JonesHaydn Fleury60122
2Gabriel CarlssonBraden Schneider40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaSteven Fogarty60122
2Ryan McLeodGreg McKegg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanHaydn Fleury60122
2Libor HajekBraden Schneider40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jujhar Khaira60122Nils LundkvistHaydn Fleury60122
2Ryan McLeod40122Libor HajekBraden Schneider40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaSteven Fogarty60122
2Ryan McLeodGreg McKegg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanHaydn Fleury60122
2Zachary JonesBraden Schneider40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyJujhar KhairaVinni LettieriNils LundkvistHaydn Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyJujhar KhairaVinni LettieriNils LundkvistHaydn Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinni Lettieri, Jonny Brodzinski, Mason ShawVinni Lettieri, Jonny BrodzinskiVinni Lettieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Braden Schneider, Zachary Jones, Nils LundkvistBraden SchneiderBraden Schneider, Zachary Jones
Tirs de pénalité
Jujhar Khaira, Ryan McLeod, Steven Fogarty, Greg McKegg, Vinni Lettieri
Gardien
#1 : Ukko-Pekka Luukkonen, #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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,805,883$ 1,525,883$ 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 des joueurs (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
1Trevor Moore2502322094411311442943690825.55%251398615.94212950454481415643.17292.21413
2Christian Fischer1861902053951323040136371526.57%286399421.4844428610279163112248.37241.98116
3Brock McGinn250157197354-3180385358104415.04%220515520.62446611020979165016744.7381.37621
4Johan Larsson20712818731518710632736072217.73%164467622.592944731421111225614465.77101.35419
5Andreas Johnsson971571573142241418114448432.44%129214822.1527305789112213546.51232.92510

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
2Anthony Stolarz1328429110.9133.24758643409469428463720.81760
3Curtis McElhinney84562080.9282.45507440207288017711510.75024
4Garret Sparks84274980.8863.7249582130726911396250.79434
5Hunter Miska47112010.7927.141940202311110631310.7504

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
202184235301412512729-21742132401211283337-5442102900201229392-163565128081320301711781613301110261030943222813102048916022799634.41%24011552.08%10721154446.70%559133042.03%840185045.41%1877121818856501303648
2022825960229481415066441332010324436937441264012623718129014681411211935032942862231427738879009637432631241288133827010840.00%1453377.24%11608128247.43%790177244.58%833157852.79%1626105221346511228594
Total Saison régulière58317232602715162726652758-93291107136016107151457125520229265190011591212081503-29547226654387705281010088357796217761598858405754348196077512430411435192649025.44%197152673.31%8653501063750.30%55691148748.48%4859942051.58%12531796613941465287994331
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 des joueurs (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