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Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGarrett
EntraîneurDerek Lalonde
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 51
Espoirs48


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Denver Barkey (R)XX100.00754288796265867537736266254747695066N02132,500,000$
2Rutger McGroarty (R)XX100.0076449479776169634261646725464667506302221,450,000$
3Nate Danielson (R)X100.0061419577735864725964587025464664506302121,886,667$
4Lenni Hameenaho (R)XX100.006742877072628564266457662547476350620213950,000$
5Nick AbruzzeseX100.007263946463707266806662645945456550620272850,000$
6Jack StudnickaXX100.007543927669477662495055692558596150610271875,000$
7Martin ChromiakX100.007770936670575664505965666244446650610233850,000$
8Akil ThomasX100.007971966671494662786258675546466350600261850,000$
9Curtis Douglas (R)XX100.00809937729746666039575569254747605060N0263900,000$
10Zayde WisdomX100.007670896170798555694858635544446150590242850,000$
11Ethan Cardwell (R)XX100.007066806266555461505760625745456150580231925,000$
12Jacob Bernard-DockerX100.0075548771736580622545478425636362506702621,600,000$
13Donovan Sebrango (R)X100.008399577783666162255447782548486150660243900,000$
14Dennis CholowskiX100.00594295697865536225504775256162595062N0283900,000$
15Kyle CapobiancoX100.00634291717359586525484873255758595062N0293900,000$
16Jeremy DaviesX100.007069716069808756255246614446465750600291900,000$
17Hunter McDonald (R)X100.0080876259877381452535396237444451505902421,200,000$
Rayé
1Spencer SmallmanX100.007775826375504958505656645344445950570292800,000$
2Matvey PetrovX100.008175966275565852504851654844445750560231813,333$
3Tanner Dickinson (R)X100.007365936265677251644751604844445650560241878,333$
4Will LockwoodX100.007467896667515056705058625544445950560281775,000$
5Sean DayX100.0087839763837177492541416739444455506102800$
6Cade Webber (R)X100.008585846185525544253439653744445150570253825,000$
MOYENNE D’ÉQUIPE100.00756585687461675944535367394848605061
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jiri Patera100.00475063835752545450463044445150540272900,000$
2Jesper Vikman100.00374050844239504641383044444250470241858,000$
Rayé
1Domenic DiVincentiis (R)100.00415063764848504946423044444750500223905,556$
MOYENNE D’ÉQUIPE100.0042475981494651504642304444475050
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde71707574817568USA542500,000$


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 Pays 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 Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Akil ThomasMarlies (TOR)C262000-01-02CANNo195 Lbs6 ft0NoNoFree Agent2025-08-17NoNo12026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Cade WebberMarlies (TOR)D252001-01-05USAYes220 Lbs6 ft6NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm825,000$825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien / Lien NHL
Curtis DouglasMarlies (TOR)LW/RW262000-03-06CANYes242 Lbs6 ft9YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Dennis CholowskiMaple LeafsD281998-02-15CANNo210 Lbs6 ft2YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$900,000$900,000$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Denver BarkeyMarlies (TOR)C/LW212005-04-27CANYes171 Lbs5 ft10YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------YesYes-------Lien / Lien NHL
Domenic DiVincentiisMarlies (TOR)G222004-03-04CANYes194 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm905,556$905,556$0$0$No905,556$905,556$-------905,556$905,556$-------NoNo-------Lien / Lien NHL
Donovan SebrangoMarlies (TOR)D242002-01-12CANYes223 Lbs6 ft2NoNoFree Agent2025-08-12NoNo32026-06-20FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien / Lien NHL
Ethan CardwellMarlies (TOR)LW/RW232002-08-30CANYes180 Lbs5 ft11NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Hunter McDonaldMarlies (TOR)D242002-05-11USAYes238 Lbs6 ft4NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien / Lien NHL
Jack StudnickaMarlies (TOR)C/RW271999-02-18CANNo187 Lbs6 ft1NoNoFree AgentNoNo12024-06-24FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D262000-06-30CANNo196 Lbs6 ft1NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$--------1,600,000$--------No--------Lien / Lien NHL
Jeremy DaviesMarlies (TOR)D291996-12-04CANNo190 Lbs5 ft11NoNoFree AgentNoNo12024-06-24FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien / Lien NHL
Jesper VikmanMarlies (TOR)G242002-03-11SWENo205 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-16FalseFalsePro & Farm858,000$858,000$0$0$No---------------------------Lien
Jiri PateraMarlies (TOR)G271999-02-24CZENo212 Lbs6 ft3NoNoFree AgentNoNo22026-06-20FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Kyle CapobiancoMarlies (TOR)D291997-08-13CANNo194 Lbs6 ft3YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Lenni HameenahoMarlies (TOR)LW/RW212004-11-07FINYes195 Lbs6 ft1NoNoAssign ManuallyNoNo32026-05-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Martin ChromiakMarlies (TOR)RW232002-08-20SVKNo190 Lbs6 ft0NoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Matvey PetrovMarlies (TOR)LW232003-03-12RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12026-06-12FalseFalsePro & Farm813,333$813,333$0$0$No---------------------------Lien / Lien NHL
Nate DanielsonMarlies (TOR)C212004-09-27CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,886,667$1,886,667$0$0$No1,886,667$--------1,886,667$--------No--------Lien / Lien NHL
Nick AbruzzeseMarlies (TOR)C271999-06-04USANo178 Lbs5 ft10NoNoFree Agent2025-08-17NoNo22026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Rutger McGroartyMarlies (TOR)LW/RW222004-03-30USAYes212 Lbs6 ft1NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,450,000$1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------Lien / Lien NHL
Sean DayMarlies (TOR)D281998-01-09BELNo225 Lbs6 ft3NoNoN/ANoNo02025-08-19FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Spencer SmallmanMarlies (TOR)RW291996-09-09CANNo205 Lbs6 ft1NoNoFree AgentNoNo22025-06-15FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Tanner DickinsonMarlies (TOR)C242002-03-05USAYes176 Lbs6 ft0NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm878,333$878,333$0$0$No---------------------------Lien / Lien NHL
Will LockwoodMarlies (TOR)RW281998-06-20USANo185 Lbs5 ft11NoNoAssign ManuallyNoNo12026-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Zayde WisdomMarlies (TOR)C242002-07-07CANNo195 Lbs5 ft11NoNoFree AgentNoNo22026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.04201 Lbs6 ft21.961,001,611$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denver BarkeyNate DanielsonJack Studnicka40122
2Rutger McGroartyNick AbruzzeseMartin Chromiak30122
3Lenni HameenahoZayde WisdomCurtis Douglas20122
4Ethan CardwellAkil ThomasDenver Barkey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango40122
2Dennis CholowskiKyle Capobianco30122
3Jeremy DaviesHunter McDonald20122
4Jacob Bernard-DockerDonovan Sebrango10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denver BarkeyNate DanielsonJack Studnicka60122
2Rutger McGroartyNick AbruzzeseMartin Chromiak40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nate DanielsonDenver Barkey60122
2Nick AbruzzeseRutger McGroarty40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nate Danielson60122Jacob Bernard-DockerDonovan Sebrango60122
2Nick Abruzzese40122Dennis CholowskiKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nate DanielsonDenver Barkey60122
2Nick AbruzzeseRutger McGroarty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denver BarkeyNate DanielsonJack StudnickaJacob Bernard-DockerDonovan Sebrango
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denver BarkeyNate DanielsonJack StudnickaJacob Bernard-DockerDonovan Sebrango
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Abruzzese, Jack Studnicka, Martin ChromiakNick Abruzzese, Jack StudnickaNick Abruzzese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Capobianco, Jeremy Davies, Hunter McDonaldKyle CapobiancoKyle Capobianco, Jeremy Davies
Tirs de pénalité
Denver Barkey, Rutger McGroarty, Nate Danielson, Lenni Hameenaho, Nick Abruzzese
Gardien
#1 : Jiri Patera, #2 : Jesper Vikman, #3 : 0
Lignes d’attaque personnalisées en prolongation
Denver Barkey, Rutger McGroarty, Nate Danielson, Lenni Hameenaho, Nick Abruzzese, Jack Studnicka, Martin Chromiak, Curtis Douglas, Akil Thomas, Zayde Wisdom
Lignes de défense personnalisées en prolongation
Jacob Bernard-Docker, Donovan Sebrango, Dennis Cholowski, Kyle Capobianco, Jeremy Davies


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 billets350
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,839,188$ 2,839,188$ 500,000$0$
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$




Marlies 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

Marlies 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

Marlies 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
Total Saison régulière0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Séries éliminatoires
20257340000017143312000007614220000010826173148017640140464048615737135137461226.09%60985.00%010320650.00%12524451.23%5010348.54%162105190589245
Total Séries éliminatoires7340000017143312000007614220000010826173148017640140464048615737135137461226.09%60985.00%010320650.00%12524451.23%5010348.54%162105190589245

Marlies 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
1Luke Evangelista7369-102192213.64%017725.35347900010033.33%01.0100
2Jack Studnicka73470416271816.67%017925.65336700010053.80%00.7800
3Jacob Bernard-Docker7167-14412911.11%916824.0815670000100%00.8300
4Sean Day7224-122251922.22%616623.8022470000000%00.4800
5Spencer Smallman72240623450.00%0486.90112200000043.75%01.6600

Marlies 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
1Jiri Patera73130.9111.89445011415701000