Toronto Leafs

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sebastien Cloutier | Morale : 50 | Moyenne d'Équipe : 70
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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 SP
1Claude GirouxXXX100.005638878469879586839078718279906453770
2Tomas HertlXXX100.006837867883859076847779827671737958750
3Alex TuchX100.007936887691828774637571667765698258710
4Kyle PalmieriXX100.007940787670838774587380657775706853710
5Josh AndersonX100.008353766988829568566776786569706058710
6Jakub VranaX100.005843867774769573527172617365678458690
7Tanner PearsonX100.008143857378769372566871646973686663690
8Brady TkachukX100.008960657583818474687376587561649226690
9Joel ArmiaX100.008037846788817066536768776571688058680
10Kyle TurrisX100.005446827375806872807668636978716458680
11Jesperi KotkaniemiX100.006738856977759271787266597059629360670
12Carter RowneyXX100.008837916282737561746359786278703556660
13David KampfXXX100.006237886378767961786662746367644333650
14Mattias EkholmX100.006945777388909371307869865877725358760
15Brett PesceX100.006638866585868764307662905369676461730
16Ben ChiarotX100.008544736487849162307359785275694934710
17Marc StaalX100.007439836189859259306856825180725251710
18John MooreX100.008139796582847464307063785277706665700
19Dean KukanX100.006836926378736962306654634871665334640
Rayé
1Dryden HuntX100.006938925873807456525754535567645239590
2Seth HelgesonX100.007644695491949553305551594977695632650
3Connor CliftonX100.006644816067886859306054634667645619620
MOYENNE D'ÉQUIPE100.00734182688182846753706670637169644969
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 SP
1Roberto Luongo100.00868987868584868584868590943146840
2Philipp Grubauer100.00888583768786888786888775815047820
Rayé
MOYENNE D'ÉQUIPE100.0087878581868587868587868388414783
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill81798184686380USA4621,900,000$


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex TuchToronto LeafsRW231996-05-10No222 Lbs6 ft4NoNoNo1Pro & Farm900,000$900,000$900,000$NoLien
Ben ChiarotToronto LeafsD281991-05-09No219 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Brady TkachukToronto LeafsLW191999-09-16No196 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$900,000$No900,000$900,000$Lien
Brett PesceToronto LeafsD241994-11-15No206 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$3,500,000$NoLien
Carter RowneyToronto LeafsC/RW301989-05-10No206 Lbs6 ft2NoNoNo1Pro & Farm300,000$300,000$300,000$NoLien
Claude GirouxToronto LeafsC/LW/RW311988-01-12No185 Lbs5 ft11NoNoNo3Pro & Farm6,500,000$6,500,000$6,500,000$No6,500,000$6,500,000$Lien
Connor CliftonToronto LeafsD241995-04-28No175 Lbs5 ft11NoNoNo3Pro & Farm300,000$300,000$300,000$No300,000$300,000$Lien
David KampfToronto LeafsC/LW/RW241995-01-12No188 Lbs6 ft2NoNoNo2Pro & Farm300,000$300,000$300,000$No300,000$Lien
Dean KukanToronto LeafsD251993-07-08No186 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Dryden HuntToronto LeafsLW231995-11-24No191 Lbs6 ft0NoNoNo1Pro & Farm300,000$300,000$300,000$NoLien
Jakub VranaToronto LeafsLW231996-02-28No197 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Jesperi KotkaniemiToronto LeafsC182000-07-06No184 Lbs6 ft2NoNoNo3Pro & Farm900,000$900,000$900,000$No900,000$900,000$Lien
Joel ArmiaToronto LeafsRW261993-05-31No210 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
John MooreToronto LeafsD281990-11-19No210 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$Lien
Josh AndersonToronto LeafsRW251994-05-07No221 Lbs6 ft3NoNoNo1Pro & Farm2,245,000$2,245,000$2,245,000$NoLien
Kyle PalmieriToronto LeafsLW/RW281991-02-01No185 Lbs5 ft11NoNoNo3Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$3,500,000$Lien
Kyle TurrisToronto LeafsC291989-08-14No190 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Marc StaalToronto LeafsD321987-01-13No213 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Mattias EkholmToronto LeafsD291990-05-24No215 Lbs6 ft4NoNoNo1Pro & Farm5,000,000$5,000,000$5,000,000$NoLien
Philipp GrubauerToronto LeafsG271991-11-25No191 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Roberto LuongoToronto LeafsG401979-04-04No215 Lbs6 ft3NoNoNo1Pro & Farm10,000,000$10,000,000$10,000,000$NoLien
Seth HelgesonToronto LeafsD281990-10-08No221 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$500,000$No500,000$Lien
Tanner PearsonToronto LeafsLW261992-08-10No201 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Tomas HertlToronto LeafsC/LW/RW251993-11-12No215 Lbs6 ft2NoNoNo1Pro & Farm3,500,000$3,500,000$3,500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.46202 Lbs6 ft21.211,714,375$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
41,145,000$15,400,000$12,100,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlAlex Tuch40122
2Jakub VranaKyle TurrisJosh Anderson30122
3Tanner PearsonJesperi KotkaniemiJoel Armia20122
4Brady TkachukCarter RowneyDavid Kampf10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce40122
2Ben ChiarotMarc Staal30122
3John MooreDean Kukan20122
4Mattias EkholmBrett Pesce10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlAlex Tuch60122
2Jakub VranaKyle TurrisJosh Anderson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Ben ChiarotMarc Staal40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlAlex Tuch60122
2Kyle PalmieriJosh Anderson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Ben ChiarotMarc Staal40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Hertl60122Mattias EkholmBrett Pesce60122
2Alex Tuch40122Ben ChiarotMarc Staal40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlAlex Tuch60122
2Kyle PalmieriJosh Anderson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Ben ChiarotMarc Staal40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlAlex TuchMattias EkholmBrett Pesce
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlAlex TuchMattias EkholmBrett Pesce
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Pearson, Brady Tkachuk, Joel ArmiaTanner Pearson, Brady TkachukJoel Armia
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Moore, Dean Kukan, Ben ChiarotJohn MooreDean Kukan, Ben Chiarot
Tirs de Pénalité
Tomas Hertl, Alex Tuch, Kyle Palmieri, Josh Anderson, Jakub Vrana
Gardien
#1 : Roberto Luongo, #2 : Philipp Grubauer


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
LigueDomicileVisiteur
# 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 PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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 Match 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 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 41,145,000$ 9,050,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 16 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 152,915,168$ 152,915,168$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Claude GirouxAGE:31PO:64OV:77
Tomas HertlAGE:25PO:79OV:75
Kyle PalmieriAGE:28PO:68OV:71
Brady TkachukAGE:19PO:92OV:69
Jakub VranaAGE:23PO:84OV:69
Tanner PearsonAGE:26PO:66OV:69
David KampfAGE:24PO:43OV:65
Matt HendricksAGE:38PO:25OV:62
Connor BrickleyAGE:27PO:61OV:61
John McCarthyAGE:32PO:52OV:61
Kerby RychelAGE:24PO:78OV:59
Brett PollockAGE:23PO:62OV:59
Dryden HuntAGE:23PO:52OV:59
Tom SestitoAGE:31PO:53OV:58
Tyrell GoulbourneAGE:25PO:63OV:57
David PopeAGE:24PO:60OV:57
Claude GirouxAGE:31PO:64OV:77
Tomas HertlAGE:25PO:79OV:75
Kyle TurrisAGE:29PO:64OV:68
Jesperi KotkaniemiAGE:18PO:93OV:67
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65
Matt HendricksAGE:38PO:25OV:62
Connor BrickleyAGE:27PO:61OV:61
Stefan MatteauAGE:25PO:76OV:59
Brett PollockAGE:23PO:62OV:59
Sean MaloneAGE:24PO:61OV:58
Claude GirouxAGE:31PO:64OV:77
Tomas HertlAGE:25PO:79OV:75
Alex TuchAGE:23PO:82OV:71
Kyle PalmieriAGE:28PO:68OV:71
Josh AndersonAGE:25PO:60OV:71
Joel ArmiaAGE:26PO:80OV:68
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65
Connor BrickleyAGE:27PO:61OV:61
Brett PollockAGE:23PO:62OV:59
Tyrell GoulbourneAGE:25PO:63OV:57

Défense #1Défense #2Gardien
Mattias EkholmAGE:29PO:53OV:76
Brett PesceAGE:24PO:64OV:73
Marc StaalAGE:32PO:52OV:71
Ben ChiarotAGE:28PO:49OV:71
John MooreAGE:28PO:66OV:70
Seth HelgesonAGE:28PO:56OV:65
Dean KukanAGE:25PO:53OV:64
Connor CliftonAGE:24PO:56OV:62
Cameron SchillingAGE:30PO:44OV:62
Ashton SautnerAGE:25PO:51OV:61
Keaton ThompsonAGE:23PO:56OV:59
Roberto LuongoAGE:40PO:31OV:84
Philipp GrubauerAGE:27PO:50OV:82
Jack CampbellAGE:27PO:74OV:78
Scott DarlingAGE:30PO:42OV:77
Chad JohnsonAGE:33PO:35OV:75
Troy GrosenickAGE:29PO:43OV:74

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Andy MieleToronto Leafs
Cale MakarToronto Leafs139

Choix au Repêchage

Année R1R2R3R4R5R6
16Tor MTL
17Tor
18Tor
19Tor Tor Tor



[2020-05-20 18:02:41] - Team Name Change : Toronto Maple Leafs changed name to Toronto Leafs
[2020-05-19 19:53:39] - TRADE : From Winnipeg Jets to Toronto Maple Leafs : Claude Giroux (77).
[2020-05-19 19:53:39] - TRADE : From Toronto Maple Leafs to Winnipeg Jets : Olli Juolevi (61), Pierre-Olivier Joseph (P).
[2020-04-05 10:18:56] - Marlies didn't make playoff for year 14.
[2020-04-05 10:18:56] - Toronto Maple Leafs didn't make playoff for year 14.
[2020-03-27 09:51:33] - Ryan Penny has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:30] - Ryan Hamilton has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:28] - Ryan Garbutt has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:25] - Quentin Shore has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:22] - Pierre-Cedric Labrie has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:20] - Miro Aaltonen has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:15] - Michael Matheson has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:13] - Max Reinhart has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:11] - Matt Lashoff has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:08] - Matt Carle has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:05] - Mark Streit has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:02] - Mark MacMillan has been deleted from Toronto Maple Leafs.
[2020-03-27 09:51:00] - Kyle Flanagan has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:57] - Karl Stollery has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:55] - John-Michael Liles has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:52] - Jared Boll has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:48] - Grant Besse has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:45] - Dylan Labbe has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:42] - David Shields has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:39] - Brett Sterling has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:36] - Brandon Burlon has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:33] - Brandon Bollig has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:30] - Austen Brassard has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:25] - Andrew Miller has been deleted from Toronto Maple Leafs.
[2020-03-27 09:50:22] - Andre Benoit has been deleted from Toronto Maple Leafs.
[2020-02-23 12:00:47] - TRADE : From Vegas Golden Knights to Toronto Maple Leafs : Tyrell Goulbourne (57), Ashton Sautner (61), Brett Pollock (59), Connor Brickley (61), Kerby Rychel (59).
[2020-02-23 12:00:47] - TRADE : From Toronto Maple Leafs to Vegas Golden Knights : Y:18-RND:6-Col.
[2020-02-19 04:58:02] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Y:19-RND:3-Flo.
[2020-02-19 04:58:02] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Marc Staal (71).
[2020-02-17 04:59:33] - TRADE : From Toronto Maple Leafs to Florida Panthers : Dan Girardi (72).
[2020-02-17 04:59:33] - TRADE : From Florida Panthers to Toronto Maple Leafs : Y:19-RND:3-Flo.
[2020-02-07 12:27:07] - TRADE : From Toronto Maple Leafs to Minnesota Wild : Eric Fehr (67).
[2020-02-07 12:27:07] - TRADE : From Minnesota Wild to Toronto Maple Leafs : Y:18-RND:6-Col.
[2020-02-03 13:07:33] - New Record for Team's Most Hits (41) in 1 Game for Toronto Maple Leafs!






Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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