Toronto Maple Leafs

GP: 16 | W: 6 | L: 8 | OTL: 2 | P: 14
GF: 42 | GA: 46 | PP%: 11.36% | PK%: 77.97%
DG: Sebastien Cloutier | Morale : 44 | Moyenne d'Équipe : 69
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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
1Tomas HertlXXX100.006837867883859076847779827671737932740
2Alex TuchX100.007936887691828774637571667765698248710
3Josh AndersonX100.008353766988829568566776786569706049710
4Brady Tkachuk (R)X100.008960657583818474687376587561649245700
5Jakub VranaX100.005843867774769573527172617365678429680
6Joel ArmiaX100.008037846788817066536768776571688035680
7Kyle TurrisX100.005446827375806872807668636978716448680
8Eric FehrXX100.006639846488698563776162805984744648670
9Andre BurakovskyXX100.005937857384708972566867597367687948670
10Carter RowneyXX100.008837916282737561746359786278703548660
11Jake VirtanenX100.008642757181778369536267637265648648660
12Jesperi Kotkaniemi (R)X100.006738856977759271787266597059629348660
13Mattias EkholmX100.006945777388909371307869865877725348750
14Ben ChiarotX100.008544736487849162307359785275694948710
15Damon SeversonX100.007841746881889567307569665869656048690
16Noah JuulsenX100.007837926279825061306054734863628048650
17Seth HelgesonX100.007644695491949553305551594977695642650
18Egor YakovlevX100.005736916672807165307458565375684948640
Rayé
1David KampfXXX100.006237886378767961786662746367644334650
2Valeri Nichushkin (R)XX100.007735956786817668526659646766647934650
3Matt HendricksXX100.008459735977645058756157755688782534630
4Dean KukanX100.006836926378736962306654634871665323630
5Cameron SchillingX100.005636926077827059306054594679714440620
MOYENNE D'ÉQUIPE100.00724283688279816654686469627168644267
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 Luongo100.00868987868584868584868590943148840
2Philipp Grubauer100.00888583768786888786888775815048830
Rayé
1Petr Mrazek100.00878684758685878685878673774734810
MOYENNE D'ÉQUIPE100.0087878579868587868587867984434383
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
1Tomas HertlToronto Maple LeafsC/LW/RW1681018620124156163614.29%624715.452576320000130050.37%27000001.4602000101
2Jesperi KotkaniemiToronto Maple LeafsC164101462093538123910.53%127116.96022537000001049.59%36700001.0301000130
3Andre BurakovskyToronto Maple LeafsLW/RW16210126202154413344.55%427317.11022337000000058.33%2400000.8800000011
4Alex TuchToronto Maple LeafsRW167411220123250174514.00%337923.7112310410001421038.00%10000100.5811000100
5Kyle TurrisToronto Maple LeafsC1647111001505216297.69%832920.610228410000150052.55%43200000.6701000100
6Josh AndersonToronto Maple LeafsRW165510611551277123567.04%533020.6410111360001572042.31%2600000.6101001101
7Ben ChiarotToronto Maple LeafsD16178514041131410137.14%1630018.77000722000133000.00%000000.5300000003
8Joel ArmiaToronto Maple LeafsRW16358-3201192462512.50%417711.0900000000090039.29%8400000.9000000100
9Brady TkachukToronto Maple LeafsLW16358117564174415316.82%232420.281239410000140137.50%4800000.4901010010
10Mattias EkholmToronto Maple LeafsD16167-36015303215273.12%4041025.670001942000050000.00%000000.3400000000
11Jake VirtanenToronto Maple LeafsRW162351601892613247.69%119212.0100000000000027.27%1100000.5200000000
12Noah JuulsenToronto Maple LeafsD16325410011151762117.65%2633020.68202936000142010.00%000000.3000000000
13Egor YakovlevToronto Maple LeafsD16044420455130.00%521213.300000000000000.00%000000.3800000000
14Eric FehrToronto Maple LeafsC/RW16123-300524284123.57%216410.30000000001150054.17%9600000.3600000000
15Seth HelgesonToronto Maple LeafsD13123114032272514.29%1623317.98000213000029000.00%000000.2600000000
16Damon SeversonToronto Maple LeafsD16033-32605218269160.00%2440325.220001342000244000.00%000000.1500000001
17Jakub VranaToronto Maple LeafsLW16202-1000015265157.69%220312.73000124000050033.33%1500000.2001000000
18Cameron SchillingToronto Maple LeafsD3011200311110.00%03712.640000000002000.00%000000.5300000000
19Dean KukanToronto Maple LeafsD4000-400165230.00%27518.840001800004000.00%000000.0000000000
20Carter RowneyToronto Maple LeafsC/RW16000-420121113050.00%31247.77000000002410042.73%11000000.0000000000
Stats d'équipe Total ou en Moyenne292478613315118103563755791864408.12%170502417.217152210445700094244248.39%158300100.5318011657
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 Leafs166820.9232.7396680445730010.6676160231
Stats d'équipe Total ou en Moyenne166820.9232.7396680445730010.6676160231


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
Dean KukanToronto Maple LeafsD251993-07-08No186 Lbs6 ft2NoNoNo1Avec 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
Jakub VranaToronto Maple LeafsLW231996-02-28No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Jesperi KotkaniemiToronto Maple LeafsC182000-07-06Yes184 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Joel ArmiaToronto Maple LeafsRW261993-05-31No210 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$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
Seth HelgesonToronto Maple LeafsD281990-10-08No221 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Tomas HertlToronto Maple LeafsC/LW/RW251993-11-12No215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$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
2626.54204 Lbs6 ft22.041,741,538$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
45,280,000$29,845,000$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
3Tomas HertlJoel ArmiaJake Virtanen20122
4Jakub VranaEric FehrCarter Rowney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDamon Severson40122
2Ben ChiarotNoah Juulsen30122
3Seth HelgesonEgor 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 FehrAlex Tuch40122
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
Brady Tkachuk, Kyle Turris, Carter RowneyAlex Tuch, Brady TkachukCarter 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 Hurricanes2020000025-31010000012-11010000013-200.0002460001105327197077252342100.00%9277.78%027457048.07%31862450.96%11323947.28%422854142310
2Columbus Blue Jackets2020000068-21010000045-11010000023-100.0006915001230661827210651784210110.00%4175.00%027457048.07%31862450.96%11323947.28%443048152613
3New Jersey Devils2010100067-1100010006511010000002-220.5006121810221164192915162148468112.50%4175.00%027457048.07%31862450.96%11323947.28%432850162612
4New York Islanders211000006601010000013-21100000053220.50061117003030662414280592314414125.00%7271.43%027457048.07%31862450.96%11323947.28%463347142512
5New York Rangers22000000743110000003121100000043141.0007121900214075133428090241845300.00%8362.50%027457048.07%31862450.96%11323947.28%473247132513
6Philadelphia Flyers210001008711000010034-11100000053230.75081624003140872836221581620355120.00%10190.00%027457048.07%31862450.96%11323947.28%513646142512
7Pittsburgh Penguins211000005501010000023-11100000032120.50051015001310441217150922526624125.00%12375.00%027457048.07%31862450.96%11323947.28%412653152411
Total1658011014246-4815011002024-48430000122220140.43842781201013101825351701931661257416213235444511.36%591377.97%027457048.07%31862450.96%11323947.28%367251397120204100
9Washington Capitals2010000124-21010000001-11000000123-110.250246001011802917301071181541900.00%50100.00%027457048.07%31862450.96%11323947.28%503547142613
_Since Last GM Reset1658011014246-4815011002024-48430000122220140.43842781201013101825351701931661257416213235444511.36%591377.97%027457048.07%31862450.96%11323947.28%367251397120204100
_Vs Conference1658011014246-4815011002024-48430000122220140.43842781201013101825351701931661257416213235444511.36%591377.97%027457048.07%31862450.96%11323947.28%367251397120204100

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1614W1427812053557416213235410
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
165811014246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
81511002024
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84300012222
Derniers 10 Matchs
WLOTWOTL SOWSOL
431101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
44511.36%591377.97%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
170193166121310182
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
27457048.07%31862450.96%11323947.28%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
367251397120204100


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 Rangers1Toronto Maple Leafs3WSommaire du Match
16 - 2019-09-17163Toronto Maple Leafs2Washington Capitals3LXXSommaire du Match
17 - 2019-09-18178Toronto Maple Leafs1Carolina Hurricanes3LSommaire du Match
19 - 2019-09-20197Columbus Blue Jackets5Toronto Maple Leafs4LSommaire du Match
20 - 2019-09-21205Toronto Maple Leafs5New York Islanders3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24224Philadelphia Flyers4Toronto Maple Leafs3LXSommaire du Match
25 - 2019-09-26238Toronto Maple Leafs5Philadelphia Flyers3WSommaire du Match



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
0 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$ 45,280,000$ 17,621,000$ 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$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 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
Tomas HertlAGE:25PO:79OV:74
*Brady TkachukAGE:19PO:92OV:70
Jakub VranaAGE:23PO:84OV:68
Andre BurakovskyAGE:24PO:79OV:67
*Valeri NichushkinAGE:24PO:79OV:65
David KampfAGE:24PO:43OV:65
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
Tomas HertlAGE:25PO:79OV:74
Kyle TurrisAGE:29PO:64OV:68
Eric FehrAGE:33PO:46OV:67
*Jesperi KotkaniemiAGE:18PO:93OV:66
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65
Matt HendricksAGE:38PO:25OV:63
Stefan MatteauAGE:25PO:76OV:59
Sean MaloneAGE:24PO:61OV:57
Tomas HertlAGE:25PO:79OV:74
Alex TuchAGE:23PO:82OV:71
Josh AndersonAGE:25PO:60OV:71
Joel ArmiaAGE:26PO:80OV:68
Andre BurakovskyAGE:24PO:79OV:67
Eric FehrAGE:33PO:46OV:67
Jake VirtanenAGE:22PO:86OV:66
Carter RowneyAGE:30PO:35OV:66
*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
Dean KukanAGE:25PO:53OV:63
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:81
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
16Tor MTL
17Tor
18Tor
19Tor Tor Tor Tor Tor Tor



[2019-09-21 05:10:06] - TRADE : From Toronto Maple Leafs to Nashville Predators : Tyson Jost (64), Joel Eriksson Ek (66), Tobias Rieder (66), Y:15-RND:1-Tor.
[2019-09-21 05:10:06] - TRADE : From Nashville Predators to Toronto Maple Leafs : Tomas Hertl (75), Dean Kukan (63).
[2019-09-20 11:45:47] - TRADE : From Toronto Maple Leafs to Chicago Blackhawks : Sam Bennett (66), Tage Thompson (65).
[2019-09-20 11:45:47] - TRADE : From Chicago Blackhawks to Toronto Maple Leafs : Jakub Vrana (68), Joel Armia (68).
[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.



[2019-09-22 05:12:34] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-09-21 05:10:06] TRADE : From Toronto Maple Leafs to Nashville Predators : Tyson Jost (64), Joel Eriksson Ek (66), Tobias Rieder (66), Y:15-RND:1-Tor.
[2019-09-21 05:10:06] TRADE : From Nashville Predators to Toronto Maple Leafs : Tomas Hertl (75), Dean Kukan (63).
[2019-09-21 05:08:27] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-09-21 05:08:27] Auto Roster Partial Function has been run for Toronto Maple Leafs.
[2019-09-20 11:45:47] TRADE : From Toronto Maple Leafs to Chicago Blackhawks : Sam Bennett (66), Tage Thompson (65).
[2019-09-20 11:45:47] TRADE : From Chicago Blackhawks to Toronto Maple Leafs : Jakub Vrana (68), Joel Armia (68).
[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).



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