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Toronto Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Niclas Karlsson | Morale : 50 | Moyenne d’équipe : 58
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralNiclas Karlsson
EntraîneurJack Capuano
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité7,500
Assistance
Billets de saison750


Informations de la formation

Équipe Pro12
Équipe Mineure12
Limite contact 24 / 50
Espoirs26


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique161-175-30 (0.440%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)8 - 8 (0.500%)
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
1Aatu Raty0XX100.00914391685366866796736667445043040640231775,000$
2Sheldon Dries12X100.00613493645550836475616663586254050580322875,000$
3Dans Locmelis0XX100.00603495625850766455596363574444050560222960,000$
4Ryan Tverberg64XX100.00645487615750866355605963544646050560241850,000$
5Connor Clattenburg0X100.00798561526050705445525156474343050530212928,333$
6Caedan Bankier13X100.00593393565750875675555852514545050520231850,000$
7Sam Rinzel0X100.00775587717675807125646477504643047660221941,667$
8Zeev Buium0X100.00676288737577937025686174434741047650201966,500$
9Philippe Myers57X100.00824287618565725825575579365649047640291850,000$
10Aleksi Heimosalmi8X100.00645385585650805625545070474545050540231850,000$
11Samuel Johannesson22X100.00623491605750675725565161484847050530251870,000$
12Ryan Johnson33X100.00625285585250825625545160474646050520242775,000$
Rayé
MOYENNE D’ÉQUIPE100.0069488762625780614659586549484604858
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
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano6868677385721USA6021,235,000$


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
Aatu Raty (contrat à 1 volet)Toronto Marlies (TOR)C/RW232002-11-14FINNo86 Kg188 CMNoNoTrade2026-06-08YesNo12025-07-01FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Aleksi HeimosalmiToronto Marlies (TOR)D232003-05-08FINNo77 Kg180 CMNoNoProspectYesNo12026-07-14FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Caedan BankierToronto Marlies (TOR)C232003-01-26CANNo77 Kg183 CMNoNoProspectYesNo12026-07-14FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Connor ClattenburgToronto Marlies (TOR)LW212005-05-02CANNo86 Kg185 CMNoNoDraftNoNo22026-06-07FalseFalsePro & Farm928,333$928,333$0$0$No928,333$--------928,333$--------No--------Lien / Lien NHL
Dans LocmelisToronto Marlies (TOR)LW/RW222004-01-21LATNo80 Kg183 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm960,000$960,000$0$0$No960,000$--------960,000$--------No--------Lien
Philippe Myers (contrat à 1 volet)Toronto Marlies (TOR)D291997-01-25CANNo100 Kg198 CMNoNoAssign ManuallyYesNo12025-01-06FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Ryan JohnsonToronto Marlies (TOR)D242001-07-24USANo73 Kg173 CMNoNoProspectNoNo22025-07-06FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Ryan TverbergToronto Marlies (TOR)LW/RW242002-01-30CANNo82 Kg180 CMNoNoProspectYesNo12026-07-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Sam RinzelToronto Marlies (TOR)D222004-06-25USANo80 Kg193 CMNoNoProspectNoNo12025-11-23FalseFalsePro & Farm941,667$941,667$0$0$No---------------------------Lien / Lien NHL
Samuel JohannessonToronto Marlies (TOR)D252000-12-27SWENo80 Kg180 CMNoNoProspectNoNo12025-07-06FalseFalsePro & Farm870,000$870,000$0$0$No---------------------------Lien / Lien NHL
Sheldon Dries (contrat à 1 volet)Toronto Marlies (TOR)C321994-04-23USANo81 Kg175 CMNoNoAssign ManuallyYesNo22026-06-07FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Zeev BuiumToronto Marlies (TOR)D202005-12-07USANo83 Kg183 CMNoNoProspectNoNo12025-11-17FalseFalsePro & Farm966,500$966,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1224.0082 Kg183 CM1.33874,292$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
228122
322131
419131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ryan Johnson35122
3Samuel Johannesson25122
4Ryan Johnson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel Johannesson60005
2Ryan Johnson40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150140
250140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan JohnsonSamuel Johannesson50230
250230
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15014050230
250140Ryan JohnsonSamuel Johannesson50230
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150113
250113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Johnson50122
2Samuel Johannesson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Johannesson, Ryan Johnson, , Samuel Johannesson
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , Samuel Johannesson, , Ryan Johnson


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
Capacité50002500
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
36 0 - 0%0$0$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 799,150$ 799,150$ 1,235,000$0$
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$




Toronto 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
1Alex Steeves21065100165-78227139550712.82%49359717.131932519200019553.03%00.92710
2Arnaud Durandeau1415379132-138124830446811.32%82316922.4813253865000146441.73%20.83510
3Joey Anderson1445061111-35214128046910.66%31270118.76131932143000411545.48%10.8233
4Marc McLaughlin2373865103-15873093853909.74%49329613.9111213273112186252.21%00.6246
5Sheldon Rempal1425051101-176915122449510.10%18246717.3716203612400004336.75%20.82511

Toronto 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
1Joseph Woll88503240.9092.82508112323926260010.73719
2Jonas Johansson72402470.9112.6942998219321660240.64445
3Malcolm Subban67253750.8783.373703222081710178430.82417
4Strauss Mann56193220.9093.4131314017819481195120.73923
5Cole Kehler46152730.8763.2726034114211430330.70010

Toronto 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
202172203806341187224-373610190222199119-203610190412088105-176418733051733645360141843594614613381882500103013254715812.31%4196883.77%41185228551.86%1121214452.29%559108551.52%173611621705568921460
202272322401474225204213616130122210710253616110025211810216882253886134285676523234576476579071221665867915692844917.25%2915680.76%11294235055.06%1270231754.81%597112553.07%170211511723562955470
2023723128072312252214361712031211191081136141604110106113-7852254086332181676714231174474278553242371891518792766623.91%3497279.37%21135237347.83%1228260447.16%519114645.29%163910911776562951464
202472154105452189254-6536111703122105120-15364240233084134-50561893084976029708017214648580182268267190733915561174437.61%1224761.48%2610129147.25%609131946.17%46198346.90%132863715787041457734
202572204402231200259-593691902231106115-93611250000094144-5053200345545127871467178056860459824195458773311793716116.44%3137177.32%51067221848.11%1026217947.09%562119646.99%163310651743575971481
Total Saison régulière3601181750211522910261162-13618063800118117536564-2818055950107112490598-108346102617792805168337328318751042531553526360825411146337036967508151927818.30%149431478.98%1452911051750.31%52541056349.74%2698553548.74%803951088527297452572612
Séries éliminatoires
202295400000303004310000016124523000001418-410305686101191003409813910123147511820625624.00%47882.98%118133054.85%16331451.91%9216456.10%2161462116911756
20237340000026260321000001394413000001317-462649750011852216736655222768190203281035.71%32971.88%09722243.69%12327444.89%4111934.45%166111191559446
Total Séries éliminatoires168800000565607520000029218936000002735-8165610516110221715255617120515624590156208409531630.19%791778.48%127855250.36%28658848.64%13328347.00%382258402125211103

Toronto 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
1Sheldon Rempal1661521242233659.23%432120.112681510133036.67%11.3100
2Justin Brazeau169514-1834183923.08%522313.94000000000040.00%01.2600
3Gabriel Carlsson1611112-162618224.55%2437323.34167140110000%00.6400
4Oliver Wahlstrom9831121330174816.67%118720.78213600000050.00%01.1800
5Rudolfs Balcers7639302103318.18%211917.095161200001024.74%01.5000

Toronto 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
1Joseph Woll74210.9093.12423002224100100
2Strauss Mann73310.9063.45452002627600000
3Jonas Johansson21100.9033.501200077200000