Toronto Maple Leafs

GP: 50 | W: 22 | L: 23 | OTL: 5 | P: 49
GF: 123 | GA: 132 | PP%: 15.08% | PK%: 83.04%
DG: Sebastien Cloutier | Morale : 40 | Moyenne d'Équipe : 70
Prochain matchs #776 vs Dallas Stars
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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 HertlXXX100.006837867883859076847779827671737952750
2Alex TuchX100.007936887691828774637571667765698252710
3Kyle PalmieriXX100.007940787670838774587380657775706848710
4Josh AndersonX100.008353766988829568566776786569706052710
5Brady Tkachuk (R)X100.008960657583818474687376587561649253700
6Jakub VranaX100.005843867774769573527172617365678452690
7Tanner PearsonX100.008143857378769372566871646973686658690
8Joel ArmiaX100.008037846788817066536768776571688052680
9Kyle TurrisX100.005446827375806872807668636978716452680
10Eric FehrXX100.006639846488698563776162805984744652670
11Jesperi Kotkaniemi (R)X100.006738856977759271787266597059629355670
12Carter RowneyXX100.008837916282737561746359786278703551660
13Mattias EkholmX100.006945777388909371307869865877725352750
14Brett PesceX100.006638866585868764307662905369676456730
15Dan GirardiX100.008537866280837561307262865385752540720
16Ben ChiarotX100.008544736487849162307359785275694943710
17John MooreX100.008139796582847464307063785277706657700
18Connor CliftonX100.006644816067886859306054634667645641620
Rayé
1David KampfXXX100.006237886378767961786662746367644319650
2Dean KukanX100.006836926378736962306654634871665319630
MOYENNE D'ÉQUIPE100.00744183698180836754706772637269634869
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 Luongo100.00868987868584868584868590943152840
2Philipp Grubauer100.00888583768786888786888775815052820
Rayé
MOYENNE D'ÉQUIPE100.0087878581868587868587868388415283
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'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
1Mattias EkholmToronto Maple LeafsD501227392050079114109365811.01%94127225.448614671810001183310.00%000000.6100000243
2Tomas HertlToronto Maple LeafsC/LW/RW50161935315520160166451239.64%13117523.51491335171000102324051.23%175100000.6004000123
3Josh AndersonToronto Maple LeafsRW50171532854013656150279211.33%13100420.1046104416700051403142.67%7500000.6404000242
4Brett PesceToronto Maple LeafsD48524291314047666216548.06%75117424.46279381530111164200.00%000000.4900000132
5Jakub VranaToronto Maple LeafsLW50101929860134989328011.24%368013.610223240000201052.94%3400000.8500000123
6Kyle TurrisToronto Maple LeafsC50101929860311786366111.63%382716.54391221165000002152.42%101300000.7000000111
7Brady TkachukToronto Maple LeafsLW5010162614751764911633578.62%388117.6427925160000001042.37%5900010.5914001222
8Kyle PalmieriToronto Maple LeafsLW/RW49131225-6315887314034959.29%890518.494593316800041061044.27%13100000.5514001122
9John MooreToronto Maple LeafsD5051722-5420804736132013.89%4677515.51123936000056010.00%000000.5700000021
10Alex TuchToronto Maple LeafsRW50814223140447212436846.45%9102520.513472716900041671039.18%9700000.4305000021
11Joel ArmiaToronto Maple LeafsRW5068143140574953184011.32%44939.87000000001703042.37%5900000.5700000112
12Ben ChiarotToronto Maple LeafsD4921012-15760149484119444.88%57103521.13213251530001154000.00%000000.2300000011
13Jesperi KotkaniemiToronto Maple LeafsC504610-517514555320327.55%54909.8100000000020149.19%55700000.4100100011
14Eric FehrToronto Maple LeafsC/RW50448-460114435163911.43%23847.70000020002251050.65%38300000.4200000001
15Dan GirardiToronto Maple LeafsD48088-1028066434111290.00%6594619.7203325880000159000.00%000000.1700000000
16Tanner PearsonToronto Maple LeafsLW50358-1423551326515454.62%44939.88011327000000039.02%4100000.3200010020
17Carter RowneyToronto Maple LeafsC/RW45112-214033293016223.33%43157.0000000000070141.03%3900000.1300000001
18Connor CliftonToronto Maple LeafsD210226601795200.00%929213.9400003000016000.00%000000.1400000000
19Seth HelgesonMarlies (Tor)D6011480731020.00%29215.370000500008000.00%000000.2200000000
20David KampfToronto Maple LeafsC/LW/RW6000-100024120.00%1457.5900000000020044.44%900000.0000000000
21Dean KukanToronto Maple LeafsD5000300241110.00%38016.130000300006000.00%000000.0000000000
22Matt HendricksMarlies (Tor)C/LW1000000000000.00%055.570000000000000.00%000000.0000000000
23Olli JuoleviMarlies (Tor)D1000-100000000.00%01515.230000000004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne87912622735317471251093112114074279808.96%4231441416.40336295355168401129152822650.09%424800010.49221112122926
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 Leafs31141340.9142.42188222768790010.833183119501
2Philipp GrubauerToronto Maple Leafs1981010.9122.68114320515790100.33331931021
Stats d'équipe Total ou en Moyenne50222350.9132.5230254212714580110.762215050522


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 Maple LeafsRW231996-05-10No222 Lbs6 ft4NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Ben ChiarotToronto Maple LeafsD281991-05-09No219 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$1,272,727$NoLien
Brady TkachukToronto Maple LeafsLW191999-09-16Yes196 Lbs6 ft3NoNoNo4Pro & Farm900,000$900,000$327,273$No900,000$900,000$900,000$Lien
Brett PesceToronto Maple LeafsD241994-11-15No206 Lbs6 ft3NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Carter RowneyToronto Maple LeafsC/RW301989-05-10No206 Lbs6 ft2NoNoNo2Pro & Farm300,000$300,000$109,091$No300,000$Lien
Connor CliftonToronto Maple LeafsD241995-04-28No175 Lbs5 ft11NoNoNo4Pro & Farm300,000$300,000$109,091$No300,000$300,000$300,000$Lien
Dan GirardiToronto Maple LeafsD351984-04-29No212 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
David KampfToronto Maple LeafsC/LW/RW241995-01-12No188 Lbs6 ft2NoNoNo3Pro & Farm300,000$300,000$109,091$No300,000$300,000$Lien
Dean KukanToronto Maple LeafsD251993-07-08No186 Lbs6 ft2NoNoNo1Pro & Farm300,000$300,000$109,091$NoLien
Eric FehrToronto Maple LeafsC/RW331985-09-07No209 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$Lien
Jakub VranaToronto Maple LeafsLW231996-02-28No197 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$327,273$NoLien
Jesperi KotkaniemiToronto Maple LeafsC182000-07-06Yes184 Lbs6 ft2NoNoNo4Pro & Farm900,000$900,000$327,273$No900,000$900,000$900,000$Lien
Joel ArmiaToronto Maple LeafsRW261993-05-31No210 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$363,636$NoLien
John MooreToronto Maple LeafsD281990-11-19No210 Lbs6 ft2NoNoNo3Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$2,500,000$Lien
Josh AndersonToronto Maple LeafsRW251994-05-07No221 Lbs6 ft3NoNoNo2Pro & Farm2,245,000$2,245,000$816,364$No2,245,000$Lien
Kyle PalmieriToronto Maple LeafsLW/RW281991-02-01No185 Lbs5 ft11NoNoNo4Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$3,500,000$3,500,000$Lien
Kyle TurrisToronto Maple LeafsC291989-08-14No190 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$363,636$NoLien
Mattias EkholmToronto Maple LeafsD291990-05-24No215 Lbs6 ft4NoNoNo2Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$Lien
Philipp GrubauerToronto Maple LeafsG271991-11-25No191 Lbs6 ft1NoNoNo1Pro & Farm3,000,000$3,000,000$1,090,909$NoLien
Roberto LuongoToronto Maple LeafsG401979-04-04No215 Lbs6 ft3NoNoNo2Pro & Farm10,000,000$10,000,000$3,636,364$No10,000,000$Lien
Tanner PearsonToronto Maple LeafsLW261992-08-10No201 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Tomas HertlToronto Maple LeafsC/LW/RW251993-11-12No215 Lbs6 ft2NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.77202 Lbs6 ft22.092,252,045$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,545,000$34,845,000$8,400,000$5,600,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlJosh Anderson40122
2Brady TkachukKyle TurrisAlex Tuch30122
3Jakub VranaJesperi KotkaniemiJoel Armia20122
4Tanner PearsonEric FehrCarter Rowney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce40122
2Dan GirardiBen Chiarot30122
3John MooreConnor Clifton20122
4Mattias EkholmBrett Pesce10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlJosh Anderson60122
2Brady TkachukKyle TurrisAlex Tuch40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Dan GirardiBen Chiarot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlJosh Anderson60122
2Alex TuchKyle Palmieri40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Dan GirardiBen Chiarot40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Hertl60122Mattias EkholmBrett Pesce60122
2Josh Anderson40122Dan GirardiBen Chiarot40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlJosh Anderson60122
2Alex TuchKyle Palmieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce60122
2Dan GirardiBen Chiarot40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlJosh AndersonMattias EkholmBrett Pesce
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlJosh AndersonMattias EkholmBrett Pesce
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jakub Vrana, Tanner Pearson, Joel ArmiaJakub Vrana, Tanner PearsonJoel Armia
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Moore, Connor Clifton, Dan GirardiJohn MooreConnor Clifton, Dan Girardi
Tirs de Pénalité
Tomas Hertl, Josh Anderson, Alex Tuch, Kyle Palmieri, Brady Tkachuk
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
1Boston Bruins3120000069-32110000067-11010000002-220.333611170041107316243308822226613323.08%10280.00%0881169851.88%859175249.03%38475151.13%745266213818
2Buffalo Sabres31200000811-3211000005501010000036-320.3338152300431082322624010222287010110.00%13561.54%0881169851.88%859175249.03%38475151.13%684672233818
3Calgary Flames22000000835110000004221100000041341.00081523001430651829180521110559222.22%5260.00%0881169851.88%859175249.03%38475151.13%554242122111
4Carolina Hurricanes1010000024-21010000024-20000000000000.0002240010101652902578234125.00%4175.00%0881169851.88%859175249.03%38475151.13%2215257125
5Chicago Blackhawks21000001550110000002111000000134-130.75051015001310531517215491216398112.50%70100.00%0881169851.88%859175249.03%38475151.13%503347152613
6Colorado Avalanche2020000026-41010000001-11010000025-300.000246002000512813100521720339111.11%10190.00%0881169851.88%859175249.03%38475151.13%453049152512
7Columbus Blue Jackets211000007521010000034-11100000041320.5007111800313066271326058178547114.29%4175.00%0881169851.88%859175249.03%38475151.13%483545142513
8Detroit Red Wings3120000067-11010000003-32110000064220.333611170022208936322108422426711218.18%21480.95%0881169851.88%859175249.03%38475151.13%694674243616
9Edmonton Oilers211000006511010000034-11100000031220.50061016002310592418170621822555240.00%11190.91%0881169851.88%859175249.03%38475151.13%442849142512
10Florida Panthers11000000413000000000001100000041321.000481200112031781602771020500.00%50100.00%0881169851.88%859175249.03%38475151.13%2718207126
11Los Angeles Kings11000000651110000006510000000000021.000611170022203910161302566256233.33%3233.33%0881169851.88%859175249.03%38475151.13%2618206137
12Minnesota Wild211000003301010000013-21100000020220.500358011110561917200492022491000.00%50100.00%0881169851.88%859175249.03%38475151.13%473246142512
13Montreal Canadiens211000005501010000023-11100000032120.500581300041068212126067222244600.00%11281.82%0881169851.88%859175249.03%38475151.13%453148142512
14Nashville Predators1010000012-1000000000001010000012-100.00011200001035815120217825300.00%4250.00%0881169851.88%859175249.03%38475151.13%2114247146
15New Jersey Devils21100000734110000005051010000023-120.50071219012320531414250421514457228.57%70100.00%0881169851.88%859175249.03%38475151.13%442951152412
16New York Islanders2020000037-41010000014-31010000023-100.00035800120045101025063193629800.00%17476.47%0881169851.88%859175249.03%38475151.13%392456162411
17New York Rangers2110000045-1110000003211010000013-220.5004711102110491620130731926451300.00%13192.31%0881169851.88%859175249.03%38475151.13%483247152412
18Ottawa Senators11000000211110000002110000000000021.00024600101046221113024114295120.00%20100.00%0881169851.88%859175249.03%38475151.13%2415237126
19Philadelphia Flyers30200010711-41010000013-22010001068-220.333710170011419121254010911728817114.29%14192.86%0881169851.88%859175249.03%38475151.13%724871234119
20Phoenix Coyotes11000000422000000000001100000042221.00048120010302757150291012237228.57%50100.00%0881169851.88%859175249.03%38475151.13%2114257126
21Pittsburgh Penguins11000000431000000000001100000043121.00048120021103313128031625325120.00%4250.00%0881169851.88%859175249.03%38475151.13%2216257115
22San Jose Sharks1000000123-11000000123-10000000000010.500235002000231056438111634300.00%8275.00%0881169851.88%859175249.03%38475151.13%2314278136
23St. Louis Blues2010000137-41000000134-11010000003-310.25035800120055252094511810319222.22%4175.00%0881169851.88%859175249.03%38475151.13%493347142814
24Tampa Bay Lightning11000000321110000003210000000000021.00034700012029710120291014217114.29%7185.71%0881169851.88%859175249.03%38475151.13%2215258115
Total50202301114123132-925911011035967-8251112000116465-1490.490123216339124338402139446843747138145942150511351993015.08%2303983.04%0881169851.88%859175249.03%38475151.13%11787981211380639315
26Vancouver Canucks1010000004-4000000000001010000004-400.00000000000016556030111414300.00%7185.71%0881169851.88%859175249.03%38475151.13%2315237126
27Vegas Golden Knights210001006601000010023-11100000043130.750610160031204819189280232442500.00%110100.00%0881169851.88%859175249.03%38475151.13%493347152714
28Washington Capitals20101000440100010002111010000023-120.5004812001021502213132782822445240.00%11281.82%0881169851.88%859175249.03%38475151.13%402756142311
29Winnipeg Jets210000015321000000112-11100000041330.750510150021204613161111391316409222.22%7185.71%0881169851.88%859175249.03%38475151.13%483248162713
_Since Last GM Reset50202301114123132-925911011035967-8251112000116465-1490.490123216339124338402139446843747138145942150511351993015.08%2303983.04%0881169851.88%859175249.03%38475151.13%11787981211380639315
_Vs Conference291116010107278-61568010003539-41458000103739-2260.44872124196112521242821269241304128822443096701131614.16%1432681.82%0881169851.88%859175249.03%38475151.13%671455710222364178
_Vs Division1477000003436-2844000001821-36330000016151140.500346195001212100418141132145042111614231757814.04%691479.71%0881169851.88%859175249.03%38475151.13%33222633110717686

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5049L112321633913941459421505113512
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5020231114123132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2591111035967
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
25111200116465
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1993015.08%2303983.04%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
468437471384338402
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
881169851.88%859175249.03%38475151.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11787981211380639315


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 - 2019-09-021Ottawa Senators1Toronto Maple Leafs2WSommaire du Match
3 - 2019-09-0416Toronto Maple Leafs4Columbus Blue Jackets1WSommaire du Match
4 - 2019-09-0519Montreal Canadiens3Toronto Maple Leafs2LSommaire du Match
6 - 2019-09-0734St. Louis Blues4Toronto Maple Leafs3LXXSommaire du Match
9 - 2019-09-1047Tampa Bay Lightning2Toronto Maple Leafs3WSommaire du Match
11 - 2019-09-1267Toronto Maple Leafs1Detroit Red Wings2LSommaire du Match
14 - 2019-09-1585Minnesota Wild3Toronto Maple Leafs1LSommaire du Match
15 - 2019-09-1693Toronto Maple Leafs2Washington Capitals3LSommaire du Match
18 - 2019-09-19116Boston Bruins4Toronto Maple Leafs2LSommaire du Match
20 - 2019-09-21129Columbus Blue Jackets4Toronto Maple Leafs3LSommaire du Match
21 - 2019-09-22133Toronto Maple Leafs0Boston Bruins2LSommaire du Match
24 - 2019-09-25156San Jose Sharks3Toronto Maple Leafs2LXXSommaire du Match
25 - 2019-09-26163Toronto Maple Leafs3Montreal Canadiens2WSommaire du Match
28 - 2019-09-29180Washington Capitals1Toronto Maple Leafs2WXSommaire du Match
32 - 2019-10-03210Toronto Maple Leafs3Philadelphia Flyers2WXXSommaire du Match
35 - 2019-10-06228Los Angeles Kings5Toronto Maple Leafs6WSommaire du Match
37 - 2019-10-08237Vegas Golden Knights3Toronto Maple Leafs2LXSommaire du Match
39 - 2019-10-10254Philadelphia Flyers3Toronto Maple Leafs1LSommaire du Match
40 - 2019-10-11267Toronto Maple Leafs3Chicago Blackhawks4LXXSommaire du Match
43 - 2019-10-14282Toronto Maple Leafs2New York Islanders3LSommaire du Match
45 - 2019-10-16294Boston Bruins3Toronto Maple Leafs4WSommaire du Match
46 - 2019-10-17308Toronto Maple Leafs4Pittsburgh Penguins3WR3Sommaire du Match
49 - 2019-10-20329Toronto Maple Leafs4Vegas Golden Knights3WSommaire du Match
51 - 2019-10-22343Toronto Maple Leafs4Phoenix Coyotes2WSommaire du Match
53 - 2019-10-24351Toronto Maple Leafs2Colorado Avalanche5LSommaire du Match
57 - 2019-10-28379Toronto Maple Leafs5Detroit Red Wings2WSommaire du Match
59 - 2019-10-30396Toronto Maple Leafs3Buffalo Sabres6LSommaire du Match
60 - 2019-10-31406Buffalo Sabres3Toronto Maple Leafs2LSommaire du Match
63 - 2019-11-03428Toronto Maple Leafs3Philadelphia Flyers6LSommaire du Match
64 - 2019-11-04434Colorado Avalanche1Toronto Maple Leafs0LSommaire du Match
67 - 2019-11-07454Toronto Maple Leafs0St. Louis Blues3LSommaire du Match
70 - 2019-11-10481Toronto Maple Leafs0Vancouver Canucks4LSommaire du Match
72 - 2019-11-12494Toronto Maple Leafs4Calgary Flames1WSommaire du Match
74 - 2019-11-14506Toronto Maple Leafs3Edmonton Oilers1WSommaire du Match
77 - 2019-11-17525Buffalo Sabres2Toronto Maple Leafs3WSommaire du Match
80 - 2019-11-20550Toronto Maple Leafs1New York Rangers3LSommaire du Match
81 - 2019-11-21557Detroit Red Wings3Toronto Maple Leafs0LSommaire du Match
83 - 2019-11-23569Carolina Hurricanes4Toronto Maple Leafs2LSommaire du Match
87 - 2019-11-27583Toronto Maple Leafs2New Jersey Devils3LSommaire du Match
88 - 2019-11-28594New York Rangers2Toronto Maple Leafs3WSommaire du Match
91 - 2019-12-01616Toronto Maple Leafs2Minnesota Wild0WSommaire du Match
93 - 2019-12-03633Toronto Maple Leafs4Winnipeg Jets1WSommaire du Match
95 - 2019-12-05646New York Islanders4Toronto Maple Leafs1LSommaire du Match
97 - 2019-12-07659Edmonton Oilers4Toronto Maple Leafs3LSommaire du Match
99 - 2019-12-09675Winnipeg Jets2Toronto Maple Leafs1LXXSommaire du Match
103 - 2019-12-13707Toronto Maple Leafs4Florida Panthers1WSommaire du Match
105 - 2019-12-15715New Jersey Devils0Toronto Maple Leafs5WSommaire du Match
107 - 2019-12-17728Calgary Flames2Toronto Maple Leafs4WSommaire du Match
109 - 2019-12-19747Chicago Blackhawks1Toronto Maple Leafs2WSommaire du Match
118 - 2019-12-28770Toronto Maple Leafs1Nashville Predators2LSommaire du Match
120 - 2019-12-30776Toronto Maple Leafs-Dallas Stars-
123 - 2020-01-02796Ottawa Senators-Toronto Maple Leafs-
125 - 2020-01-04809Florida Panthers-Toronto Maple Leafs-
127 - 2020-01-06825Toronto Maple Leafs-New York Rangers-
129 - 2020-01-08839Anaheim Ducks-Toronto Maple Leafs-
130 - 2020-01-09846Toronto Maple Leafs-Montreal Canadiens-
133 - 2020-01-12867Phoenix Coyotes-Toronto Maple Leafs-
135 - 2020-01-14881Dallas Stars-Toronto Maple Leafs-
137 - 2020-01-16901Toronto Maple Leafs-Ottawa Senators-
138 - 2020-01-17913Toronto Maple Leafs-Buffalo Sabres-
140 - 2020-01-19921Toronto Maple Leafs-Pittsburgh Penguins-
142 - 2020-01-21933Pittsburgh Penguins-Toronto Maple Leafs-
144 - 2020-01-23951Carolina Hurricanes-Toronto Maple Leafs-
147 - 2020-01-26970Toronto Maple Leafs-Tampa Bay Lightning-
149 - 2020-01-28987Toronto Maple Leafs-Florida Panthers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301003Vancouver Canucks-Toronto Maple Leafs-
154 - 2020-02-021028Toronto Maple Leafs-San Jose Sharks-
156 - 2020-02-041041Toronto Maple Leafs-Los Angeles Kings-
157 - 2020-02-051048Toronto Maple Leafs-Anaheim Ducks-
161 - 2020-02-091070Tampa Bay Lightning-Toronto Maple Leafs-
163 - 2020-02-111083Nashville Predators-Toronto Maple Leafs-
165 - 2020-02-131101Toronto Maple Leafs-Boston Bruins-
168 - 2020-02-161123New Jersey Devils-Toronto Maple Leafs-
170 - 2020-02-181137New York Islanders-Toronto Maple Leafs-
172 - 2020-02-201155Columbus Blue Jackets-Toronto Maple Leafs-
174 - 2020-02-221170Florida Panthers-Toronto Maple Leafs-
176 - 2020-02-241185Toronto Maple Leafs-Tampa Bay Lightning-
177 - 2020-02-251195Toronto Maple Leafs-Carolina Hurricanes-
179 - 2020-02-271209Toronto Maple Leafs-Ottawa Senators-
182 - 2020-03-011231Toronto Maple Leafs-Washington Capitals-
184 - 2020-03-031242Detroit Red Wings-Toronto Maple Leafs-
186 - 2020-03-051262Montreal Canadiens-Toronto Maple Leafs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance140,936118,71047,19293,69023,339
Attendance PCT93.96%94.97%94.38%93.69%93.36%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 16955 - 94.19% 618,774$15,469,343$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
32,017,982$ 49,545,000$ 16,621,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,545,000$ 30,804,654$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
9,900,380$ 68 275,107$ 18,707,276$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
18,781,901$ 49,545,000$ 161,865,373$ 152,983,852$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Tomas HertlAGE:25PO:79OV:75
Kyle PalmieriAGE:28PO:68OV:71
*Brady TkachukAGE:19PO:92OV:70
Jakub VranaAGE:23PO:84OV:69
Tanner PearsonAGE:26PO:66OV:69
David KampfAGE:24PO:43OV:65
Matt HendricksAGE:38PO:25OV:62
John McCarthyAGE:32PO:52OV:61
Tom SestitoAGE:31PO:53OV:58
Dryden HuntAGE:23PO:52OV:58
*David PopeAGE:24PO:60OV:56
Tomas HertlAGE:25PO:79OV:75
Kyle TurrisAGE:29PO:64OV:68
*Jesperi KotkaniemiAGE:18PO:93OV:67
Eric FehrAGE:33PO:46OV:67
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65
Matt HendricksAGE:38PO:25OV:62
Stefan MatteauAGE:25PO:76OV:59
Sean MaloneAGE:24PO:61OV:58
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
Eric FehrAGE:33PO:46OV:67
Carter RowneyAGE:30PO:35OV:66
David KampfAGE:24PO:43OV:65

Défense #1Défense #2Gardien
Mattias EkholmAGE:29PO:53OV:75
Brett PesceAGE:24PO:64OV:73
Dan GirardiAGE:35PO:25OV:72
Ben ChiarotAGE:28PO:49OV:71
John MooreAGE:28PO:66OV:70
Seth HelgesonAGE:28PO:56OV:64
Dean KukanAGE:25PO:53OV:63
Connor CliftonAGE:24PO:56OV:62
Cameron SchillingAGE:30PO:44OV:62
*Olli JuoleviAGE:21PO:84OV:61
Keaton ThompsonAGE:23PO:56OV:59
Roberto LuongoAGE:40PO:31OV:84
Philipp GrubauerAGE:27PO:50OV:82
Jack CampbellAGE:27PO:74OV:77
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
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
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



[2019-12-14 09:30:45] - TRADE : From Toronto Maple Leafs to Phoenix Coyotes : Egor Yakovlev (63).
[2019-12-06 08:42:06] - TRADE : From Chicago Blackhawks to Toronto Maple Leafs : Brett Pesce (73), Connor Clifton (62).
[2019-12-06 08:42:06] - TRADE : From Toronto Maple Leafs to Chicago Blackhawks : Damon Severson (69), Noah Juulsen (65).
[2019-10-13 10:44:29] - TRADE : From Toronto Maple Leafs to Calgary Flames : Petr Mrazek (81), Conor Timmins (P), Y:19-RND:4-Tor, Y:19-RND:5-Tor, Y:19-RND:6-Tor.
[2019-10-13 10:44:29] - TRADE : From Calgary Flames to Toronto Maple Leafs : Tanner Pearson (69), John Moore (70), Dan Girardi (72).
[2019-10-10 07:44:54] - TRADE : From Toronto Maple Leafs to Nashville Predators : Andre Burakovsky (67), Jake Virtanen (66), Valeri Nichushkin (65).
[2019-10-10 07:44:54] - TRADE : From Nashville Predators to Toronto Maple Leafs : Kyle Palmieri (71).
[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.



[2020-01-02 11:03:57] Brady Tkachuk from Toronto Maple Leafs has scored a Hat Trick!
[2020-01-02 11:02:57] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.2.0.5
[2019-12-31 11:29:13] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.2.0.0
[2019-12-28 16:30:55] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-12-27 07:38:00] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-12-23 17:10:01] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-12-20 13:30:52] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-12-14 09:30:45] TRADE : From Toronto Maple Leafs to Phoenix Coyotes : Egor Yakovlev (63).



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
1450202301114123132-925911011035967-8251112000116465-149123216339124338402139446843747138145942150511351993015.08%2303983.04%0881169851.88%859175249.03%38475151.13%11787981211380639315
Total Saison Régulière50202301114123132-925911011035967-8251112000116465-149123216339124338402139446843747138145942150511351993015.08%2303983.04%0881169851.88%859175249.03%38475151.13%11787981211380639315