Toronto Maple Leafs

GP: 31 | W: 12 | L: 15 | OTL: 4 | P: 28
GF: 78 | GA: 92 | PP%: 16.53% | PK%: 84.51%
DG: Sebastien Cloutier | Morale : 39 | Moyenne d'Équipe : 70
Prochain matchs #481 vs Vancouver Canucks
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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 HertlXXX100.006837867883859076847779827671737947750
2Alex TuchX100.007936887691828774637571667765698247710
3Kyle PalmieriXX100.007940787670838774587380657775706842710
4Josh AndersonX100.008353766988829568566776786569706047710
5Brady Tkachuk (R)X100.008960657583818474687376587561649248700
6Jakub VranaX100.005843867774769573527172617365678447690
7Tanner PearsonX100.008143857378769372566871646973686652690
8Joel ArmiaX100.008037846788817066536768776571688047680
9Kyle TurrisX100.005446827375806872807668636978716447680
10Eric FehrXX100.006639846488698563776162805984744647670
11Jesperi Kotkaniemi (R)X100.006738856977759271787266597059629350670
12Carter RowneyXX100.008837916282737561746359786278703546660
13Mattias EkholmX100.006945777388909371307869865877725347750
14Brett PesceX100.006638866585868764307662905369676451730
15Dan GirardiX100.008537866280837561307262865385752534720
16Ben ChiarotX100.008544736487849162307359785275694938710
17John MooreX100.008139796582847464307063785277706652700
18Connor CliftonX100.006644816067886859306054634667645635620
Rayé
1David KampfXXX100.006237886378767961786662746367644320650
2Egor YakovlevX100.005736916672807165307458565375684919640
3Dean KukanX100.006836926378736962306654634871665323630
MOYENNE D'ÉQUIPE100.00734183698180826753706672637269624269
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 Luongo100.00868987868584868584868590943147840
2Philipp Grubauer100.00888583768786888786888775815047820
Rayé
MOYENNE D'ÉQUIPE100.0087878581868587868587868388414783
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
1Mattias EkholmToronto Maple LeafsD319192817160407771193812.68%7080325.917512451130001123210.00%000000.7000000133
2Josh AndersonToronto Maple LeafsRW311314275380873699216913.13%759219.124610371020005792146.81%4700000.9103000222
3Kyle TurrisToronto Maple LeafsC316172342037359253810.17%251516.6327914103000001152.07%62800000.8900000101
4Tomas HertlToronto Maple LeafsC/LW/RW3112102201151210899327812.12%1273423.703472410400051483050.09%111200000.6003000013
5Jakub VranaToronto Maple LeafsLW31615210406316220479.68%244014.200223220000101060.87%2300000.9500000011
6Brady TkachukToronto Maple LeafsLW31512170315113287518276.67%156118.100551898000000050.00%4200000.6113001110
7Brett PesceToronto Maple LeafsD29313169602141347348.82%5069323.932572085011192100.00%000000.4600000030
8Alex TuchToronto Maple LeafsRW3151015114032487821546.41%567921.912351810400011060036.92%6500000.4404000010
9John MooreToronto Maple LeafsD3131013-1134057302481312.50%3250816.41123733000042000.00%000000.5100000011
10Kyle PalmieriToronto Maple LeafsLW/RW306713-1221548489624576.25%752017.36134241000003650043.01%9300000.5013001010
11Ben ChiarotToronto Maple LeafsD30156-1748091233015313.33%3763321.131011991000193000.00%000000.1900000011
12Eric FehrToronto Maple LeafsC/RW31336-42082825122812.00%22457.91000010002211049.62%26200000.4900000001
13Tanner PearsonToronto Maple LeafsLW31246-1117541234713324.26%334511.15011324000000045.16%3100000.3500010010
14Joel ArmiaToronto Maple LeafsRW31415-520323437122110.81%12909.36000000000471045.16%3100000.3400000011
15Jesperi KotkaniemiToronto Maple LeafsC31235-11957343516195.71%33009.6900000000020050.72%34900000.3300100001
16Carter RowneyToronto Maple LeafsC/RW26112-2801420207175.00%31816.9800000000070147.83%2300000.2200000001
17Dan GirardiToronto Maple LeafsD29022-131404729173170.00%3554618.85000925000098000.00%000000.0700000000
18Seth HelgesonMarlies (Tor)D6011480731020.00%29215.370000500008000.00%000000.2200000000
19David KampfToronto Maple LeafsC/LW/RW6000-100024120.00%1457.5900000000020044.44%900000.0000000000
20Dean KukanToronto Maple LeafsD5000300241110.00%38016.130000300006000.00%000000.0000000000
21Connor CliftonToronto Maple LeafsD2000-220111000.00%02512.930000000000000.00%000000.0000000000
22Matt HendricksMarlies (Tor)C/LW1000000000000.00%055.570000000000000.00%000000.0000000000
23Egor YakovlevToronto Maple LeafsD6000-120252210.00%610116.8600027000012000.00%000000.0000000000
24Olli JuoleviMarlies (Tor)D1000-100000000.00%01515.230000000004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne54381147228-48289256717269172776268.83%284895816.5023436624310270111997412449.91%271500000.5121611251716
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
1Philipp GrubauerToronto Maple Leafs177910.9132.64102320455200100.33331714021
2Roberto LuongoToronto Maple Leafs145630.9013.0885820444460000.846131417200
Stats d'équipe Total ou en Moyenne31121540.9082.84188140899660100.750163131221


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$567,914$NoLien
Ben ChiarotToronto Maple LeafsD281991-05-09No219 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Brady TkachukToronto Maple LeafsLW191999-09-16Yes196 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Brett PesceToronto Maple LeafsD241994-11-15No206 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Carter RowneyToronto Maple LeafsC/RW301989-05-10No206 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm300,000$300,000$189,305$NoLien
Connor CliftonToronto Maple LeafsD241995-04-28No175 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Dan GirardiToronto Maple LeafsD351984-04-29No212 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
David KampfToronto Maple LeafsC/LW/RW241995-01-12No188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Dean KukanToronto Maple LeafsD251993-07-08No186 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Egor YakovlevToronto Maple LeafsD271991-09-17No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$300,000$189,305$NoLien
Eric FehrToronto Maple LeafsC/RW331985-09-07No209 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
Jakub VranaToronto Maple LeafsLW231996-02-28No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$567,914$NoLien
Jesperi KotkaniemiToronto Maple LeafsC182000-07-06Yes184 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$567,914$NoLien
Joel ArmiaToronto Maple LeafsRW261993-05-31No210 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
John MooreToronto Maple LeafsD281990-11-19No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Josh AndersonToronto Maple LeafsRW251994-05-07No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,245,000$2,245,000$1,416,631$NoLien
Kyle PalmieriToronto Maple LeafsLW/RW281991-02-01No185 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Kyle TurrisToronto Maple LeafsC291989-08-14No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$631,016$NoLien
Mattias EkholmToronto Maple LeafsD291990-05-24No215 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$3,155,080$NoLien
Philipp GrubauerToronto Maple LeafsG271991-11-25No191 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm3,000,000$3,000,000$1,893,048$NoLien
Roberto LuongoToronto Maple LeafsG401979-04-04No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm10,000,000$10,000,000$6,310,160$NoLien
Tanner PearsonToronto Maple LeafsLW261992-08-10No201 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,577,540$NoLien
Tomas HertlToronto Maple LeafsC/LW/RW251993-11-12No215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,208,556$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2326.78202 Lbs6 ft22.172,167,174$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,845,000$35,145,000$8,700,000$5,900,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brady TkachukTomas HertlAlex Tuch40122
2Jakub VranaKyle TurrisJosh Anderson30122
3Tanner PearsonJesperi KotkaniemiKyle Palmieri20122
4Carter RowneyEric FehrJoel Armia10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmBrett Pesce40122
2Ben ChiarotDan Girardi30122
3John MooreConnor Clifton20122
4Mattias EkholmDan Girardi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlAlex Tuch60122
2Brady TkachukKyle TurrisJosh Anderson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi60122
2Ben ChiarotJohn Moore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlAlex Tuch60122
2Kyle PalmieriJosh Anderson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi60122
2Ben ChiarotJohn Moore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Hertl60122Mattias EkholmJohn Moore60122
2Alex Tuch40122Ben ChiarotDan Girardi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlAlex Tuch60122
2Kyle PalmieriJosh Anderson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi60122
2Ben ChiarotJohn Moore40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlAlex TuchMattias EkholmDan Girardi
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle PalmieriTomas HertlAlex TuchMattias EkholmDan Girardi
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Pearson, Jakub Vrana, Joel ArmiaTanner Pearson, Jakub VranaJoel Armia
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Moore, Mattias Ekholm, Ben ChiarotJohn MooreMattias Ekholm, Ben Chiarot
Tirs de Pénalité
Tomas Hertl, Alex Tuch, Kyle Palmieri, Josh Anderson, Brady Tkachuk
Gardien
#1 : Philipp Grubauer, #2 : Roberto Luongo


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%0570107553.02%552113448.68%22946749.04%745266213818
2Buffalo Sabres2020000059-41010000023-11010000036-300.0005914003200592319170671818399111.11%9366.67%0570107553.02%552113448.68%22946749.04%463047162613
3Chicago Blackhawks1000000134-1000000000001000000134-110.5003690011102898115334826200.00%40100.00%0570107553.02%552113448.68%22946749.04%2516257136
4Colorado Avalanche2020000026-41010000001-11010000025-300.000246002000512813100521720339111.11%10190.00%0570107553.02%552113448.68%22946749.04%453049152512
5Columbus Blue Jackets211000007521010000034-11100000041320.5007111800313066271326058178547114.29%4175.00%0570107553.02%552113448.68%22946749.04%483545142513
6Detroit Red Wings21100000642000000000002110000064220.50061117002220663024120601628538225.00%14192.86%0570107553.02%552113448.68%22946749.04%432853162310
7Los Angeles Kings11000000651110000006510000000000021.000611170022203910161302566256233.33%3233.33%0570107553.02%552113448.68%22946749.04%2618206137
8Minnesota Wild1010000013-21010000013-20000000000000.00012300010029912802891620400.00%20100.00%0570107553.02%552113448.68%22946749.04%2416237125
9Montreal Canadiens211000005501010000023-11100000032120.500581300041068212126067222244600.00%11281.82%0570107553.02%552113448.68%22946749.04%453148142512
10New York Islanders1010000023-1000000000001010000023-100.000235001100215412037111814400.00%9188.89%0570107553.02%552113448.68%22946749.04%1911288115
11Ottawa Senators11000000211110000002110000000000021.00024600101046221113024114295120.00%20100.00%0570107553.02%552113448.68%22946749.04%2415237126
12Philadelphia Flyers30200010711-41010000013-22010001068-220.333710170011419121254010911728817114.29%14192.86%0570107553.02%552113448.68%22946749.04%724871234119
13Phoenix Coyotes11000000422000000000001100000042221.00048120010302757150291012237228.57%50100.00%0570107553.02%552113448.68%22946749.04%2114257126
14Pittsburgh Penguins11000000431000000000001100000043121.00048120021103313128031625325120.00%4250.00%0570107553.02%552113448.68%22946749.04%2216257115
15San Jose Sharks1000000123-11000000123-10000000000010.500235002000231056438111634300.00%8275.00%0570107553.02%552113448.68%22946749.04%2314278136
16St. Louis Blues2010000137-41000000134-11010000003-310.25035800120055252094511810319222.22%4175.00%0570107553.02%552113448.68%22946749.04%493347142814
17Tampa Bay Lightning11000000321110000003210000000000021.00034700012029710120291014217114.29%7185.71%0570107553.02%552113448.68%22946749.04%2215258115
Total311015011137892-141547011023543-81668000114349-6280.45278136214003021252902322275293279662763217111212016.53%1422284.51%0570107553.02%552113448.68%22946749.04%727491758237398196
19Vegas Golden Knights210001006601000010023-11100000043130.750610160031204819189280232442500.00%110100.00%0570107553.02%552113448.68%22946749.04%493347152714
20Washington Capitals20101000440100010002111010000023-120.5004812001021502213132782822445240.00%11281.82%0570107553.02%552113448.68%22946749.04%402756142311
_Since Last GM Reset311015011137892-141547011023543-81668000114349-6280.45278136214003021252902322275293279662763217111212016.53%1422284.51%0570107553.02%552113448.68%22946749.04%727491758237398196
_Vs Conference20711010105156-5935010002124-31146000103032-2180.450518713800181417260220717621212630178209477761317.11%951683.16%0570107553.02%552113448.68%22946749.04%460312491153252123
_Vs Division1156000002730-3633000001516-1523000001214-2100.4552747740010107034111910911303359910825248816.67%53983.02%0570107553.02%552113448.68%22946749.04%2561732648413968

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3128L57813621490296627632171100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
31101511137892
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
154711023543
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
166800114349
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1212016.53%1422284.51%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
322275293273021252
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
570107553.02%552113448.68%22946749.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
727491758237398196


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 Leafs-Vancouver Canucks-
72 - 2019-11-12494Toronto Maple Leafs-Calgary Flames-
74 - 2019-11-14506Toronto Maple Leafs-Edmonton Oilers-
77 - 2019-11-17525Buffalo Sabres-Toronto Maple Leafs-
80 - 2019-11-20550Toronto Maple Leafs-New York Rangers-
81 - 2019-11-21557Detroit Red Wings-Toronto Maple Leafs-
83 - 2019-11-23569Carolina Hurricanes-Toronto Maple Leafs-
87 - 2019-11-27583Toronto Maple Leafs-New Jersey Devils-
88 - 2019-11-28594New York Rangers-Toronto Maple Leafs-
91 - 2019-12-01616Toronto Maple Leafs-Minnesota Wild-
93 - 2019-12-03633Toronto Maple Leafs-Winnipeg Jets-
95 - 2019-12-05646New York Islanders-Toronto Maple Leafs-
97 - 2019-12-07659Edmonton Oilers-Toronto Maple Leafs-
99 - 2019-12-09675Winnipeg Jets-Toronto Maple Leafs-
103 - 2019-12-13707Toronto Maple Leafs-Florida Panthers-
105 - 2019-12-15715New Jersey Devils-Toronto Maple Leafs-
107 - 2019-12-17728Calgary Flames-Toronto Maple Leafs-
109 - 2019-12-19747Chicago Blackhawks-Toronto Maple Leafs-
118 - 2019-12-28770Toronto Maple Leafs-Nashville Predators-
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
Assistance85,73071,47328,32356,87713,970
Attendance PCT95.26%95.30%94.41%94.80%93.13%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 17092 - 94.95% 636,029$9,540,441$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
18,259,424$ 49,845,000$ 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
49,845,000$ 17,554,096$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
16,536,764$ 118 276,711$ 32,651,898$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
32,776,273$ 49,845,000$ 169,744,809$ 153,505,300$



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:57
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
Egor YakovlevAGE:27PO:49OV: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



[2019-12-06 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.
[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).



[2019-12-07 10:31:03] Matt Hendricks of Toronto Maple Leafs was sent down to farm.
[2019-12-07 10:31:01] Toronto Maple Leafs placed Matt Hendricks on waivers.
[2019-12-07 10:30:17] Toronto Maple Leafs are expected to be over the salary cap by 345 000 $!
[2019-12-07 10:30:08] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-12-06 08:42:54] Toronto Maple Leafs are expected to be over the salary cap by 345 000 $!
[2019-12-06 08:42:08] Toronto Maple Leafs are expected to be over the salary cap by 345 000 $!
[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).
[2019-12-04 09:52:06] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-12-03 08:31:45] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-30 05:12:49] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-27 12:49:00] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-23 07:34:18] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-19 11:40:43] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-16 09:37:15] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-13 07:51:27] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-10 09:35:21] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-09 09:54:46] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-07 05:01:29] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-05 05:08:33] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-11-02 09:39:15] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-29 09:13:25] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-10-29 09:13:24] Auto Roster Partial Function has been run for Toronto Maple Leafs.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
14311015011137892-141547011023543-81668000114349-62878136214003021252902322275293279662763217111212016.53%1422284.51%0570107553.02%552113448.68%22946749.04%727491758237398196
Total Saison Régulière311015011137892-141547011023543-81668000114349-62878136214003021252902322275293279662763217111212016.53%1422284.51%0570107553.02%552113448.68%22946749.04%727491758237398196