Connexion

Leftovers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Francois Bedard | Morale : 50 | Moyenne d’équipe : 63
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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 Pro20
Équipe Mineure22
Limite contact 42 / 60
Espoirs69


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 McLeod0X100.00694389777667856880504877255960050690242798,000$
2Morgan Barron (R)0XXX100.008256867283658061394947797552520506802421,775,000$
3Steven Fogarty0XXX100.00777972627978826379424266584646050680301750,000$
4Nicolas Petan0XX100.00656273706274757180474765656060050680281750,000$
5Mason Shaw (R)0X100.00809964676759806152494778255151050670241750,000$
6Will Cuylle (R)0X100.00787977647978826250393966624444050670212902,500$
7Vinni Lettieri0XX100.00736982676968686880434367655353050660281750,000$
8Klim Kostin0XX100.009391687481567959364948632557570506402411,075,833$
9Jonny Brodzinski0X100.00654386737854785775474666255556050620301915,000$
10Julien Gauthier0X100.00834696778452725736474862256161050610251775,000$
11Vitali Kravtsov (R)0XX100.00674292747059546225474660254848050590232875,000$
12Zachary Jones0X100.00614191706468836025474670754747050620222925,000$
13Kevin Gravel (R)0X100.00754494707864825425464580255859050620312762,500$
14Haydn Fleury0X100.007544857677615558254645767564640506102711,300,000$
15Libor Hajek0X100.00764491767562545325464671255757050590252800,000$
16Gabriel Carlsson0X100.00777580787564694925383865375858050570261750,000$
17Alec Regula0X100.00747766707767715225404062404646050570232894,167$
Rayé
1Joel Kiviranta0XX100.008244838063638061344647812560610506602711,050,000$
MOYENNE D’ÉQUIPE100.0075608272746474604545457043545405064
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
1Michael Hutchinson0100.00605455806554836165607860610506503311,008,000$
Rayé
1Eetu Makiniemi (R)0100.0049445568505350545453304444050540242925,000$
MOYENNE D’ÉQUIPE100.005549557458546758605754525305060
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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alec RegulaLeftovers (Tru)D238/5/2000No203 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------No--------Lien
Eetu MakiniemiLeftovers (Tru)G244/19/1999Yes176 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------
Gabriel CarlssonLeftovers (Tru)D261/2/1997No192 Lbs196 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Haydn FleuryLeftovers (Tru)D277/8/1996No208 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No------------------Lien / Lien NHL
Joel KivirantaLeftovers (Tru)LW/RW273/23/1996No175 Lbs178 CMNoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No------------------Lien / Lien NHL
Jonny BrodzinskiLeftovers (Tru)RW306/19/1993No215 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm915,000$0$0$No------------------Lien / Lien NHL
Julien GauthierLeftovers (Tru)RW2510/15/1997No227 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Kevin GravelLeftovers (Tru)D313/6/1992Yes205 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien
Klim KostinLeftovers (Tru)LW/RW245/5/1999No212 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm1,075,833$0$0$No------------------Lien / Lien NHL
Libor HajekLeftovers (Tru)D252/4/1998No203 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Mason ShawLeftovers (Tru)C2411/2/1998Yes181 Lbs175 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Michael HutchinsonLeftovers (Tru)G333/1/1990No198 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm1,008,000$0$0$No------------------Lien / Lien NHL
Morgan BarronLeftovers (Tru)C/LW/RW2412/2/1998Yes220 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm1,775,000$0$0$No1,775,000$--------No--------Lien
Nicolas PetanLeftovers (Tru)LW/RW283/22/1995No175 Lbs175 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ryan McLeodLeftovers (Tru)C249/21/1999No201 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm798,000$0$0$No798,000$--------No--------Lien
Steven FogartyLeftovers (Tru)C/LW/RW304/19/1993No210 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Vinni LettieriLeftovers (Tru)C/RW282/6/1995No191 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Vitali KravtsovLeftovers (Tru)LW/RW2312/23/1999Yes183 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------No--------Lien
Will CuylleLeftovers (Tru)LW215/2/2002Yes204 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------No--------
Zachary JonesLeftovers (Tru)D2210/18/2000No175 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.95198 Lbs188 CM1.45926,550$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleSteven FogartyVinni Lettieri34014
2Nicolas PetanRyan McLeodJonny Brodzinski31113
3Morgan BarronJulien Gauthier21221
4Klim KostinMason ShawVitali Kravtsov14131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaZachary Jones36122
2Haydn FleuryLibor Hajek35122
3Gabriel CarlssonKevin Gravel29122
4Alec RegulaZachary Jones0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven FogartyMorgan BarronVinni Lettieri60122
2Nicolas PetanRyan McLeodJonny Brodzinski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaZachary Jones60122
2Haydn FleuryLibor Hajek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan McLeodWill Cuylle60122
2Mason ShawNicolas Petan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaZachary Jones60122
2Haydn FleuryLibor Hajek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Will Cuylle60122Alec RegulaZachary Jones60122
2Ryan McLeod40122Haydn FleuryLibor Hajek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan BarronSteven Fogarty60122
2Ryan McLeodNicolas Petan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaZachary Jones60122
2Haydn FleuryLibor Hajek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyMorgan BarronVinni LettieriAlec RegulaZachary Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyMorgan BarronVinni LettieriAlec RegulaZachary Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, , Vinni LettieriMason Shaw, Mason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Libor Hajek, Gabriel Carlsson, Alec RegulaLibor HajekLibor Hajek, Gabriel Carlsson
Tirs de pénalité
Will Cuylle, Ryan McLeod, Steven Fogarty, Nicolas Petan, Mason Shaw
Gardien
#1 : , #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%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
45 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,853,100$ 1,823,100$ 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

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

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

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

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