Toronto Maple Leafs

GP: 9 | W: 3 | L: 6 | OTL: 0 | P: 6
GF: 19 | GA: 24 | PP%: 13.04% | PK%: 77.14%
DG: Sebastien Cloutier | Morale : 46 | Moyenne d'Équipe : 69
Prochain matchs #157 vs New York Rangers
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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
1Alex TuchX100.007936887691828774637571667765698249710
2Josh AndersonX100.008353766988829568566776786569706050710
3Brady Tkachuk (R)X100.008960657583818474687376587561649246700
4Kyle TurrisX100.005446827375806872807668636978716449680
5Eric FehrXX100.006639846488698563776162805984744649670
6Andre BurakovskyXX100.005937857384708972566867597367687949670
7Jesperi Kotkaniemi (R)X100.006738856977759271787266597059629349670
8Joel Eriksson EkXXX100.008439856879727066776464736663638249660
9Carter RowneyXX100.008837916282737561746359786278703549660
10Jake VirtanenX100.008642757181778369536267637265648649660
11Sam BennettXXX100.008269667076738469776866636865678849660
12Tobias RiederXX100.007636926870738067556462736571665749660
13Mattias EkholmX100.006945777388909371307869865877725349750
14Ben ChiarotX100.008544736487849162307359785275694949710
15Damon SeversonX100.007841746881889567307569665869656049690
16Noah JuulsenX100.007837926279825061306054734863628049650
17Egor YakovlevX100.005736916672807165307458565375684949640
18Cameron SchillingX100.005636926077827059306054594679714444620
Rayé
1David KampfXXX100.006237886378767961786662746367644341650
2Valeri Nichushkin (R)XX100.007735956786817668526659646766647941650
3Matt HendricksXX100.008459735977645058756157755688782541630
4Seth HelgesonX100.007644695491949553305551594977695646650
MOYENNE D'ÉQUIPE100.00744382678179806656676368627168644767
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 Luongo100.00868987868584868584868590943149840
2Philipp Grubauer100.00888583768786888786888775815049830
Rayé
1Petr Mrazek100.00878684758685878685878673774741820
MOYENNE D'ÉQUIPE100.0087878579868587868587867984434683
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill81798184686380USA4531,900,000$


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'ÉquipePOS GP 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
1Jesperi KotkaniemiToronto Maple LeafsC92574004221672412.50%115216.94011219000000047.37%20900000.9200000110
2Alex TuchToronto Maple LeafsRW9336-2208182292213.64%222224.680223210000330037.65%8500000.5400000000
3Andre BurakovskyToronto Maple LeafsLW/RW9246400211255198.00%315216.97011119000000050.00%1000000.7900000010
4Kyle TurrisToronto Maple LeafsC9235-300028256218.00%617919.950115210000140050.00%23200000.5600000000
5Josh AndersonToronto Maple LeafsRW92354952919349315.88%418820.921013180000341035.29%1700000.5300001001
6Ben ChiarotToronto Maple LeafsD90441802386130.00%714916.5700016000115000.00%000000.5400000002
7Mattias EkholmToronto Maple LeafsD9134-320917189165.56%2522925.53000922000030000.00%000000.3500000000
8Eric FehrToronto Maple LeafsC/RW912300041119335.26%210912.1200000000020045.00%2000000.5500000000
9Brady TkachukToronto Maple LeafsLW9123-3953111199145.26%117619.571124210000140038.71%3100000.3400010000
10Egor YakovlevToronto Maple LeafsD9033320142110.00%011913.290000000000000.00%000000.5000000000
11Jake VirtanenToronto Maple LeafsRW9112-260116137117.69%011713.0800000000000040.00%500000.3400000000
12Sam BennettToronto Maple LeafsC/LW/RW9112-1801123204105.00%012113.4500000000011052.00%12500000.3300000000
13Noah JuulsenToronto Maple LeafsD9202-180714731228.57%1618320.36101319000024010.00%000000.2200000000
14Joel Eriksson EkToronto Maple LeafsC/LW/RW91010001160116.67%0283.1100001000151060.00%500000.7100000000
15Cameron SchillingToronto Maple LeafsD2011200211100.00%02512.560000000001000.00%000000.8000000000
16Seth HelgesonToronto Maple LeafsD70110802116140.00%1114921.29000213000025000.00%000000.1300000000
17Damon SeversonToronto Maple LeafsD9011-3160321012480.00%1322424.94000521000225000.00%000000.0900000001
18Carter RowneyToronto Maple LeafsC/RW9000000577010.00%0566.32000000002160047.73%4400000.0000000000
19Tobias RiederToronto Maple LeafsLW/RW9000-2202740100.00%1515.7500010000000016.67%600000.0000000000
Stats d'équipe Total ou en Moyenne162193756-28010203219262792117.25%92263516.273693920700062453147.02%78900000.4200011124
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
1Roberto LuongoToronto Maple Leafs93600.9322.5753840233400010.000090230
Stats d'équipe Total ou en Moyenne93600.9322.5753840233400010.000090230


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex TuchToronto Maple LeafsRW231996-05-10No222 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Andre BurakovskyToronto Maple LeafsLW/RW241995-02-09No201 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,990,000$1,990,000$1,990,000$NoLien
Ben ChiarotToronto Maple LeafsD281991-05-09No219 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Brady TkachukToronto Maple LeafsLW191999-09-16Yes196 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Cameron SchillingToronto Maple LeafsD301988-10-07No182 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Carter RowneyToronto Maple LeafsC/RW301989-05-10No206 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm300,000$300,000$300,000$NoLien
Damon SeversonToronto Maple LeafsD241994-08-07No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,245,000$2,245,000$2,245,000$NoLien
David KampfToronto Maple LeafsC/LW/RW241995-01-12No188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Egor YakovlevToronto Maple LeafsD271991-09-17No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Eric FehrToronto Maple LeafsC/RW331985-09-07No209 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Jake VirtanenToronto Maple LeafsRW221996-08-17No226 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Jesperi KotkaniemiToronto Maple LeafsC182000-07-06Yes184 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Joel Eriksson EkToronto Maple LeafsC/LW/RW221997-01-29No208 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Josh AndersonToronto Maple LeafsRW251994-05-07No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,245,000$2,245,000$2,245,000$NoLien
Kyle TurrisToronto Maple LeafsC291989-08-14No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Matt HendricksToronto Maple LeafsC/LW381981-06-17No211 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Mattias EkholmToronto Maple LeafsD291990-05-24No215 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Noah JuulsenToronto Maple LeafsD221997-04-02No193 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Petr MrazekToronto Maple LeafsG271992-02-14No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Philipp GrubauerToronto Maple LeafsG271991-11-25No191 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm3,000,000$3,000,000$3,000,000$NoLien
Roberto LuongoToronto Maple LeafsG401979-04-04No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm10,000,000$10,000,000$10,000,000$NoLien
Sam BennettToronto Maple LeafsC/LW/RW231996-06-20No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Seth HelgesonToronto Maple LeafsD281990-10-08No221 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Tobias RiederToronto Maple LeafsLW/RW261993-01-10No186 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Valeri NichushkinToronto Maple LeafsLW/RW241995-03-04Yes210 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.48203 Lbs6 ft22.121,675,200$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
41,880,000$27,745,000$3,900,000$2,600,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brady TkachukKyle TurrisAlex Tuch40122
2Andre BurakovskyJesperi KotkaniemiJosh Anderson30122
3Tobias RiederSam BennettJake Virtanen20122
4Joel Eriksson EkEric FehrCarter Rowney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDamon Severson40122
2Ben ChiarotNoah Juulsen30122
3Cameron SchillingEgor Yakovlev20122
4Mattias EkholmDamon Severson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brady TkachukKyle TurrisAlex Tuch60122
2Andre BurakovskyJesperi KotkaniemiJosh Anderson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDamon Severson60122
2Ben ChiarotNoah Juulsen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carter RowneyJosh Anderson60122
2Eric FehrJoel Eriksson Ek40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDamon Severson60122
2Ben ChiarotNoah Juulsen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carter Rowney60122Mattias EkholmDamon Severson60122
2Eric Fehr40122Ben ChiarotNoah Juulsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kyle TurrisAlex Tuch60122
2Jesperi KotkaniemiBrady Tkachuk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDamon Severson60122
2Ben ChiarotNoah Juulsen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brady TkachukKyle TurrisAlex TuchMattias EkholmDamon Severson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brady TkachukKyle TurrisAlex TuchMattias EkholmDamon Severson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Eriksson Ek, Sam Bennett, Carter RowneyJoel Eriksson Ek, Sam BennettCarter Rowney
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mattias Ekholm, Damon Severson, Noah JuulsenMattias EkholmDamon Severson, Mattias Ekholm
Tirs de Pénalité
Alex Tuch, Josh Anderson, Brady Tkachuk, Kyle Turris, Jesperi Kotkaniemi
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
1Carolina Hurricanes1010000012-11010000012-10000000000000.000123000010251654035121317100.00%40100.00%013028845.14%18236849.46%5913244.70%2014277115
2Columbus Blue Jackets1010000023-1000000000001010000023-100.000246000110358141303184206116.67%20100.00%013028845.14%18236849.46%5913244.70%2315227136
3New Jersey Devils2010100067-1100010006511010000002-220.5006121810221164192915162148468112.50%4175.00%013028845.14%18236849.46%5913244.70%432850162612
4New York Islanders1010000013-21010000013-20000000000000.000123000010285101302812816200.00%4250.00%013028845.14%18236849.46%5913244.70%2216246126
5New York Rangers11000000431000000000001100000043121.0004711002020296158054121217000.00%5260.00%013028845.14%18236849.46%5913244.70%2115256126
6Pittsburgh Penguins211000005501010000023-11100000032120.50051015001310441217150922526624125.00%12375.00%013028845.14%18236849.46%5913244.70%412653152411
Total926010001924-5504010001014-442200000910-160.3331937561056712627497901341928420323313.04%35877.14%013028845.14%18236849.46%5913244.70%1961312306711354
8Washington Capitals1010000001-11010000001-10000000000000.00000000000037872203991325200.00%40100.00%013028845.14%18236849.46%5913244.70%2215256125
_Since Last GM Reset926010001924-5504010001014-442200000910-160.3331937561056712627497901341928420323313.04%35877.14%013028845.14%18236849.46%5913244.70%1961312306711354
_Vs Conference926010001924-5504010001014-442200000910-160.3331937561056712627497901341928420323313.04%35877.14%013028845.14%18236849.46%5913244.70%1961312306711354

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
96OTW1193756262341928420310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
92610001924
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
50410001014
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4220000910
Derniers 10 Matchs
WLOTWOTL SOWSOL
261000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23313.04%35877.14%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
74979015671
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
13028845.14%18236849.46%5913244.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1961312306711354


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
1 - 2019-09-026Washington Capitals1Toronto Maple Leafs0LSommaire du Match
2 - 2019-09-0323Toronto Maple Leafs2Columbus Blue Jackets3LSommaire du Match
4 - 2019-09-0539Pittsburgh Penguins3Toronto Maple Leafs2LR3Sommaire du Match
7 - 2019-09-0861Toronto Maple Leafs0New Jersey Devils2LSommaire du Match
8 - 2019-09-0972Toronto Maple Leafs3Pittsburgh Penguins2WR3Sommaire du Match
9 - 2019-09-1089New York Islanders3Toronto Maple Leafs1LSommaire du Match
10 - 2019-09-11104Toronto Maple Leafs4New York Rangers3WSommaire du Match
12 - 2019-09-13119Carolina Hurricanes2Toronto Maple Leafs1LSommaire du Match
14 - 2019-09-15137New Jersey Devils5Toronto Maple Leafs6WXSommaire du Match
15 - 2019-09-16157New York Rangers-Toronto Maple Leafs-
16 - 2019-09-17163Toronto Maple Leafs-Washington Capitals-
17 - 2019-09-18178Toronto Maple Leafs-Carolina Hurricanes-
19 - 2019-09-20197Columbus Blue Jackets-Toronto Maple Leafs-
20 - 2019-09-21205Toronto Maple Leafs-New York Islanders-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24224Philadelphia Flyers-Toronto Maple Leafs-
25 - 2019-09-26238Toronto Maple Leafs-Philadelphia Flyers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance00000
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
3 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$ 41,880,000$ 17,904,000$ 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$ 25 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 178,532,219$ 178,532,219$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
*Brady TkachukAGE:19PO:92OV:70
Andre BurakovskyAGE:24PO:79OV:67
Sam BennettAGE:23PO:88OV:66
Joel Eriksson EkAGE:22PO:82OV:66
Tobias RiederAGE:26PO:57OV:66
*Valeri NichushkinAGE:24PO:79OV:65
David KampfAGE:24PO:43OV:65
Tyson JostAGE:21PO:86OV:64
Matt HendricksAGE:38PO:25OV:63
John McCarthyAGE:32PO:52OV:61
Tom SestitoAGE:31PO:53OV:58
Dryden HuntAGE:23PO:52OV:58
*David PopeAGE:24PO:60OV:56
Kyle TurrisAGE:29PO:64OV:68
*Jesperi KotkaniemiAGE:18PO:93OV:67
Eric FehrAGE:33PO:46OV:67
Sam BennettAGE:23PO:88OV:66
Joel Eriksson EkAGE:22PO:82OV:66
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65
Tyson JostAGE:21PO:86OV:64
Matt HendricksAGE:38PO:25OV:63
Stefan MatteauAGE:25PO:76OV:59
Sean MaloneAGE:24PO:61OV:57
Alex TuchAGE:23PO:82OV:71
Josh AndersonAGE:25PO:60OV:71
Andre BurakovskyAGE:24PO:79OV:67
Eric FehrAGE:33PO:46OV:67
Sam BennettAGE:23PO:88OV:66
Jake VirtanenAGE:22PO:86OV:66
Joel Eriksson EkAGE:22PO:82OV:66
Tobias RiederAGE:26PO:57OV:66
Carter RowneyAGE:30PO:35OV:66
Tage ThompsonAGE:21PO:80OV:65
*Valeri NichushkinAGE:24PO:79OV:65
David KampfAGE:24PO:43OV:65

Défense #1Défense #2Gardien
Mattias EkholmAGE:29PO:53OV:75
Ben ChiarotAGE:28PO:49OV:71
Damon SeversonAGE:24PO:60OV:69
Noah JuulsenAGE:22PO:80OV:65
Seth HelgesonAGE:28PO:56OV:65
Egor YakovlevAGE:27PO:49OV:64
Cameron SchillingAGE:30PO:44OV:62
*Olli JuoleviAGE:21PO:84OV:61
Keaton ThompsonAGE:23PO:56OV:59
Roberto LuongoAGE:40PO:31OV:84
Philipp GrubauerAGE:27PO:50OV:83
Petr MrazekAGE:27PO:47OV:82
Jack CampbellAGE:27PO:74OV:77
Scott DarlingAGE:30PO:42OV:77
Chad JohnsonAGE:33PO:35OV:76
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
Andre BenoitToronto Maple Leafs
Andrew MillerToronto Maple Leafs
Andy MieleToronto Maple Leafs
Austen BrassardToronto Maple Leafs
Brandon BolligToronto Maple Leafs
Brandon BurlonToronto Maple Leafs
Brett SterlingToronto Maple Leafs
Cale MakarToronto Maple Leafs139
Conor TimminsToronto Maple Leafs1313
David ShieldsToronto Maple Leafs
Dylan LabbeToronto Maple Leafs
Grant BesseToronto Maple Leafs9151
Jared BollToronto Maple Leafs
John-Michael LilesToronto Maple Leafs
Karl StolleryToronto Maple Leafs
Kyle FlanaganToronto Maple Leafs
Mark MacMillanToronto Maple Leafs
Mark StreitToronto Maple Leafs
Matt CarleToronto Maple Leafs
Matt LashoffToronto Maple Leafs
Max ReinhartToronto Maple Leafs
Michael MathesonToronto Maple Leafs
Miro AaltonenToronto Maple Leafs
Pierre-Cedric LabrieToronto Maple Leafs
Pierre-Olivier JosephToronto Maple Leafs1333
Quentin ShoreToronto Maple Leafs
Ryan GarbuttToronto Maple Leafs
Ryan HamiltonToronto Maple Leafs
Ryan PennyToronto Maple Leafs

Choix au Repêchage

Année R1R2R3R4R5R6
15Tor
16Tor MTL
17Tor
18Tor
19Tor Tor Tor Tor Tor Tor



[2019-08-11 14:26:24] - Egor Yakovlev was added to Toronto Maple Leafs.
[2019-08-10 15:04:19] - TRADE : From Vegas Golden Knights to Toronto Maple Leafs : Ben Chiarot (71).
[2019-08-10 15:04:19] - TRADE : From Toronto Maple Leafs to Vegas Golden Knights : Oliver Kylington (62).
[2019-07-28 16:45:13] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Jack Campbell (77).
[2019-07-24 16:33:09] - Marlies hired Dan Bylsma for 100 000 $ for 4 year(s).
[2019-07-24 16:32:56] - Marlies fired Randy Cunneyworth.
[2019-07-02 10:42:34] - TRADE : From New York Islanders to Toronto Maple Leafs : Philipp Grubauer (83).
[2019-07-02 10:37:31] - TRADE : From Toronto Maple Leafs to Ottawa Senators : Mark Letestu (64), Matt Read (60), Y:18-RND:6-STL.
[2019-06-27 19:55:28] - TRADE : From Chicago Blackhawks to Toronto Maple Leafs : Alex Tuch (71), David Kampf (65), Noah Juulsen (65).
[2019-06-27 19:55:28] - TRADE : From Toronto Maple Leafs to Chicago Blackhawks : Jakub Vrana (69), Julius Honka (62), Pavel Zacha (67).
[2019-06-22 09:11:06] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Mike Matheson (70), Y:16-RND:1-Nas.
[2019-06-22 09:11:06] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Mattias Ekholm (75), Kyle Turris (68).
[2019-06-20 16:43:02] - Mike Matheson was added to Toronto Maple Leafs.
[2019-06-20 15:03:27] - Valeri Nichushkin was added to Toronto Maple Leafs.
[2019-06-20 15:03:26] - Olli Juolevi was added to Toronto Maple Leafs.
[2019-06-20 15:03:26] - David Pope was added to Toronto Maple Leafs.



[2019-09-16 12:34:27] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-09-16 12:34:27] Scott Darling of Toronto Maple Leafs was sent to farm.
[2019-09-16 12:34:27] Olli Juolevi of Toronto Maple Leafs was sent down to farm.
[2019-09-16 12:34:27] David Pope of Toronto Maple Leafs was sent down to farm.
[2019-09-16 12:34:27] Dryden Hunt of Toronto Maple Leafs was sent down to farm.
[2019-09-16 12:34:27] Tyson Jost of Toronto Maple Leafs was sent down to farm.
[2019-09-06 13:57:53] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-09-06 13:57:53] Auto Roster Partial Function has been run for Toronto Maple Leafs.
[2019-08-11 14:26:27] Toronto Maple Leafs roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-08-11 14:26:24] Egor Yakovlev was added to Toronto Maple Leafs.
[2019-08-10 15:04:19] TRADE : From Vegas Golden Knights to Toronto Maple Leafs : Ben Chiarot (71).
[2019-08-10 15:04:19] TRADE : From Toronto Maple Leafs to Vegas Golden Knights : Oliver Kylington (62).
[2019-07-29 23:41:06] Auto Lines Function has been run for Toronto Maple Leafs.
[2019-07-29 23:41:03] Auto Roster Partial Function has been run for Toronto Maple Leafs.
[2019-07-29 23:41:03] Seth Helgeson of Toronto Maple Leafs was sent to pro.
[2019-07-29 23:41:02] Toronto Maple Leafs roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 2 Dressed. 6 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Too many Goalie available in Pro Team! 3 Dressed. Maximum is 2. Some errors will be automatically fixed.
[2019-07-29 15:27:57] Toronto Maple Leafs roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 2 Dressed. 6 Required. Not enough Players available in Pro Team! 10 Dressed. 18 Required. Too many Goalie available in Pro Team! 3 Dressed. Maximum is 2. Some errors will be automatically fixed.



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