Toronto Maple Leafs

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 18 | GA: 19 | PP%: 18.75% | PK%: 83.33%
DG: Sebastien Cloutier | Morale : 46 | Moyenne d'Équipe : 70
Prochain matchs #116 vs Boston Bruins
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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 HertlXXX100.006837867883859076847779827671737948750
2Alex TuchX100.007936887691828774637571667765698248710
3Kyle PalmieriXX100.007940787670838774587380657775706843710
4Josh AndersonX100.008353766988829568566776786569706048710
5Brady Tkachuk (R)X100.008960657583818474687376587561649249700
6Jakub VranaX100.005843867774769573527172617365678448690
7Tanner PearsonX100.008143857378769372566871646973686657690
8Joel ArmiaX100.008037846788817066536768776571688048680
9Kyle TurrisX100.005446827375806872807668636978716448680
10Eric FehrXX100.006639846488698563776162805984744648670
11Jesperi Kotkaniemi (R)X100.006738856977759271787266597059629348670
12David KampfXXX100.006237886378767961786662746367644341650
13Mattias EkholmX100.006945777388909371307869865877725348750
14Dan GirardiX100.008537866280837561307262865385752546720
15John MooreX100.008139796582847464307063785277706653700
16Noah JuulsenX100.007837926279825061306054734863628038650
17Egor YakovlevX100.005736916672807165307458565375684940640
Rayé
1Carter RowneyXX100.008837916282737561746359786278703549660
2Matt HendricksXX100.008459735977645058756157755688782545630
3Ben ChiarotX93.098544736487849162307359785275694938710
4Damon SeversonX99.657841746881889567307569665869656042700
5Dean KukanX100.006836926378736962306654634871665346640
MOYENNE D'ÉQUIPE99.64754283688179806754706671637369614669
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 Grubauer100.00888583768786888786888775815048820
Rayé
MOYENNE D'ÉQUIPE100.0087878581868587868587868388414883
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 LeafsD854916010192271122.73%2320926.194151129000131100.00%000000.8600000022
2John MooreToronto Maple LeafsD8178-280181412378.33%1517622.11123520000027000.00%000000.9000000000
3Kyle PalmieriToronto Maple LeafsLW/RW7347-24071118101416.67%112818.37022221000070066.67%900001.0911000010
4Kyle TurrisToronto Maple LeafsC8426000021217719.05%113717.15101225000000153.11%17700000.8700000100
5Jakub VranaToronto Maple LeafsLW8145-220215265123.85%112315.46022318000010033.33%300000.8100000000
6Josh AndersonToronto Maple LeafsRW80551100228208210.00%216320.490338250003280050.00%1000000.6101000001
7Tanner PearsonToronto Maple LeafsLW8123080175163116.25%311914.98011117000000040.00%1000000.5000000010
8Tomas HertlToronto Maple LeafsC/LW/RW8303-175427349218.82%319224.041017250002351046.67%31500000.3100000001
9Damon SeversonToronto Maple LeafsD50332001055110.00%1210821.77011414000016000.00%000000.5500000000
10Ben ChiarotToronto Maple LeafsD8022-120030212270.00%1316720.89000624000019000.00%000000.2400000000
11Alex TuchToronto Maple LeafsRW8022-160715204120.00%214818.56000325000020030.00%2000000.2701000000
12Joel ArmiaToronto Maple LeafsRW8202-12012161821011.11%19712.23000000000181045.45%1100000.4100000000
13Brady TkachukToronto Maple LeafsLW802207537722460.00%014918.69011625000000046.15%1300000.2701001010
14Jesperi KotkaniemiToronto Maple LeafsC802200031115680.00%28310.4500000000020052.13%9400000.4800000000
15Eric FehrToronto Maple LeafsC/RW81010203775514.29%0668.25000000001170054.88%8200000.3000000000
16Carter RowneyToronto Maple LeafsC/RW6011100377360.00%2416.8400000000060057.14%700000.4900000000
17Seth HelgesonMarlies (Tor)D6011480731020.00%29215.370000500008000.00%000000.2200000000
18David KampfToronto Maple LeafsC/LW/RW3000-100021120.00%0206.9400000000000075.00%400000.0000000000
19Dean KukanToronto Maple LeafsD5000300241110.00%38016.130000300006000.00%000000.0000000000
20Dan GirardiToronto Maple LeafsD6000-220435050.00%88514.1700038000014000.00%000000.0000000000
21Noah JuulsenToronto Maple LeafsD6000-380866310.00%610517.640002900008000.00%000000.0000000000
22Matt HendricksToronto Maple LeafsC/LW1000000000000.00%055.570000000000000.00%000000.0000000000
23Egor YakovlevToronto Maple LeafsD5000-120142210.00%68517.0200027000012000.00%000000.0000000000
24Olli JuoleviMarlies (Tor)D1000-100000000.00%01515.230000000004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne155214162-610210207212291861717.22%106260416.81713206530800072713149.67%75500000.4814001154
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 Leafs63300.9332.0135900121790100.000062001
2Roberto LuongoToronto Maple Leafs20110.9172.90124006720000.667326000
Stats d'équipe Total ou en Moyenne83410.9282.2348400182510100.667388001


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$818,182$NoLien
Ben Chiarot (Sur la Masse Salariale)Toronto Maple LeafsD281991-05-09No219 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$0$0$YesLien
Brady TkachukToronto Maple LeafsLW191999-09-16Yes196 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Carter RowneyToronto Maple LeafsC/RW301989-05-10No206 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm300,000$300,000$272,727$NoLien
Damon SeversonToronto Maple LeafsD241994-08-07No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,245,000$2,245,000$2,040,909$NoLien
Dan GirardiToronto Maple LeafsD351984-04-29No212 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
David KampfToronto Maple LeafsC/LW/RW241995-01-12No188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Dean KukanToronto Maple LeafsD251993-07-08No186 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Egor YakovlevToronto Maple LeafsD271991-09-17No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Eric FehrToronto Maple LeafsC/RW331985-09-07No209 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
Jakub VranaToronto Maple LeafsLW231996-02-28No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$818,182$NoLien
Jesperi KotkaniemiToronto Maple LeafsC182000-07-06Yes184 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Joel ArmiaToronto Maple LeafsRW261993-05-31No210 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
John MooreToronto Maple LeafsD281990-11-19No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Josh AndersonToronto Maple LeafsRW251994-05-07No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,245,000$2,245,000$2,040,909$NoLien
Kyle PalmieriToronto Maple LeafsLW/RW281991-02-01No185 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Kyle TurrisToronto Maple LeafsC291989-08-14No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
Matt HendricksToronto Maple LeafsC/LW381981-06-17No211 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$500,000$454,545$NoLien
Mattias EkholmToronto Maple LeafsD291990-05-24No215 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Noah JuulsenToronto Maple LeafsD221997-04-02No193 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
Philipp GrubauerToronto Maple LeafsG271991-11-25No191 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm3,000,000$3,000,000$2,727,273$NoLien
Roberto LuongoToronto Maple LeafsG401979-04-04No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm10,000,000$10,000,000$9,090,909$NoLien
Tanner PearsonToronto Maple LeafsLW261992-08-10No201 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Tomas HertlToronto Maple LeafsC/LW/RW251993-11-12No215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2427.17203 Lbs6 ft22.042,053,750$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,290,000$31,845,000$8,900,000$5,600,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle PalmieriTomas HertlAlex Tuch40122
2Brady TkachukKyle TurrisJosh Anderson30122
3Jakub VranaJesperi KotkaniemiJoel Armia20122
4Tanner PearsonEric FehrDavid Kampf10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi40122
2John Moore30122
3Noah JuulsenEgor Yakovlev20122
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
2John Moore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlKyle Palmieri60122
2Alex TuchJosh Anderson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi60122
2John Moore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Hertl60122Mattias EkholmDan Girardi60122
2Kyle Palmieri40122John Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas HertlKyle Palmieri60122
2Alex TuchJosh Anderson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mattias EkholmDan Girardi60122
2John 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
Jakub Vrana, Tanner Pearson, Joel ArmiaJakub Vrana, Tanner PearsonJoel Armia
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, Egor Yakovlev, Noah JuulsenEgor Yakovlev,
Tirs de Pénalité
Tomas Hertl, Kyle Palmieri, Alex Tuch, Josh Anderson, 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
1Columbus Blue Jackets11000000413000000000001100000041321.0004711002110291199028124283133.33%20100.00%015731949.22%16331851.26%5110648.11%2215247136
2Detroit Red Wings1010000012-1000000000001010000012-100.000123000010311111903091621300.00%8187.50%015731949.22%16331851.26%5110648.11%2215268115
3Minnesota Wild1010000013-21010000013-20000000000000.00012300010029912802891620400.00%20100.00%015731949.22%16331851.26%5110648.11%2416237125
4Montreal Canadiens1010000023-11010000023-10000000000000.00023500020041111416040141624300.00%8275.00%015731949.22%16331851.26%5110648.11%2415236126
5Ottawa Senators11000000211110000002110000000000021.00024600101046221113024114295120.00%20100.00%015731949.22%16331851.26%5110648.11%2415237126
6St. Louis Blues1000000134-11000000134-10000000000010.5003580012003717136429116145240.00%2150.00%015731949.22%16331851.26%5110648.11%2618247137
7Tampa Bay Lightning11000000321110000003210000000000021.00034700012029710120291014217114.29%7185.71%015731949.22%16331851.26%5110648.11%2215258115
Total834000011819-1522000011113-23120000076170.43818314900576026910087814251908617332618.75%36683.33%015731949.22%16331851.26%5110648.11%186126199629950
9Washington Capitals1010000023-1000000000001010000023-100.0002460010102712780431410162150.00%5180.00%015731949.22%16331851.26%5110648.11%1913287115
_Since Last GM Reset834000011819-1522000011113-23120000076170.43818314900576026910087814251908617332618.75%36683.33%015731949.22%16331851.26%5110648.11%186126199629950
_Vs Conference6330000014122321000007613120000076160.5001424380044602037462670194706413923417.39%32584.38%015731949.22%16331851.26%5110648.11%13591151467336
_Vs Division42200000880321000007611010000012-140.50081321001340147514650012344509518211.11%25484.00%015731949.22%16331851.26%5110648.11%936297314824

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
87L3183149269251908617300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83400011819
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52200011113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000076
Derniers 10 Matchs
WLOTWOTL SOWSOL
340001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32618.75%36683.33%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
100878145760
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
15731949.22%16331851.26%5110648.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
186126199629950


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 Bruins-Toronto Maple Leafs-
20 - 2019-09-21129Columbus Blue Jackets-Toronto Maple Leafs-
21 - 2019-09-22133Toronto Maple Leafs-Boston Bruins-
24 - 2019-09-25156San Jose Sharks-Toronto Maple Leafs-
25 - 2019-09-26163Toronto Maple Leafs-Montreal Canadiens-
28 - 2019-09-29180Washington Capitals-Toronto Maple Leafs-
32 - 2019-10-03210Toronto Maple Leafs-Philadelphia Flyers-
35 - 2019-10-06228Los Angeles Kings-Toronto Maple Leafs-
37 - 2019-10-08237Vegas Golden Knights-Toronto Maple Leafs-
39 - 2019-10-10254Philadelphia Flyers-Toronto Maple Leafs-
40 - 2019-10-11267Toronto Maple Leafs-Chicago Blackhawks-
43 - 2019-10-14282Toronto Maple Leafs-New York Islanders-
45 - 2019-10-16294Boston Bruins-Toronto Maple Leafs-
46 - 2019-10-17308Toronto Maple Leafs-Pittsburgh Penguins-
49 - 2019-10-20329Toronto Maple Leafs-Vegas Golden Knights-
51 - 2019-10-22343Toronto Maple Leafs-Phoenix Coyotes-
53 - 2019-10-24351Toronto Maple Leafs-Colorado Avalanche-
57 - 2019-10-28379Toronto Maple Leafs-Detroit Red Wings-
59 - 2019-10-30396Toronto Maple Leafs-Buffalo Sabres-
60 - 2019-10-31406Buffalo Sabres-Toronto Maple Leafs-
63 - 2019-11-03428Toronto Maple Leafs-Philadelphia Flyers-
64 - 2019-11-04434Colorado Avalanche-Toronto Maple Leafs-
67 - 2019-11-07454Toronto Maple Leafs-St. Louis Blues-
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
Assistance28,65023,8069,50319,5474,718
Attendance PCT95.50%95.22%95.03%97.74%94.36%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 17245 - 95.80% 702,069$3,510,343$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,029,253$ 45,790,000$ 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
45,790,000$ 3,852,245$ 0$ 23 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
25,274,470$ 170 255,027$ 43,354,590$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
43,526,103$ 45,790,000$ 177,995,322$ 159,743,689$



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: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: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:63
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
Dan GirardiAGE:35PO:25OV:72
Ben ChiarotAGE:28PO:49OV:71
John MooreAGE:28PO:66OV:70
Damon SeversonAGE:24PO:60OV:70
Noah JuulsenAGE:22PO:80OV:65
Seth HelgesonAGE:28PO:56OV:64
Dean KukanAGE:25PO:53OV:64
Egor YakovlevAGE:27PO:49OV:64
Cameron SchillingAGE:30PO:44OV:62
*Olli JuoleviAGE:21PO:84OV:61
Keaton ThompsonAGE:23PO:56OV:59
Roberto LuongoAGE:40PO:31OV:84
Philipp GrubauerAGE:27PO:50OV:82
Jack CampbellAGE:27PO:74OV:77
Scott DarlingAGE:30PO:42OV:77
Chad JohnsonAGE:33PO:35OV:76
Troy GrosenickAGE:29PO:43OV:74

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Andre BenoitToronto Maple Leafs
Andrew MillerToronto Maple Leafs
Andy MieleToronto Maple Leafs
Austen BrassardToronto Maple Leafs
Brandon BolligToronto Maple Leafs
Brandon BurlonToronto Maple Leafs
Brett SterlingToronto Maple Leafs
Cale MakarToronto Maple Leafs139
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



[2019-10-13 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).
[2019-06-22 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.



[2019-10-16 11:49:27] Damon Severson from Toronto Maple Leafs is back from Left Knee Injury.
[2019-10-16 11:49:26] Game 93 - Ben Chiarot from Toronto Maple Leafs is injured (Upper Body) and is out for 1 week.
[2019-10-16 11:49:03] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-15 12:19:44] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-15 12:19:44] Olli Juolevi of Toronto Maple Leafs was sent down to farm.
[2019-10-15 12:19:44] Seth Helgeson of Toronto Maple Leafs was sent down to farm.
[2019-10-15 12:19:38] Toronto Maple Leafs placed Seth Helgeson on waivers.
[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).
[2019-10-12 11:07:04] Noah Juulsen from Toronto Maple Leafs is back from Strained Right Elbow Injury.
[2019-10-12 11:06:04] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-12 11:06:04] Olli Juolevi of Toronto Maple Leafs was sent to pro.
[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).
[2019-10-10 07:43:47] Game 47 - Damon Severson from Toronto Maple Leafs is injured (Left Knee) and is out for 1 week.
[2019-10-10 07:43:05] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-07 07:41:18] Game 34 - Noah Juulsen from Toronto Maple Leafs is injured (Strained Right Elbow) and is out for 1 week.
[2019-10-07 07:40:58] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-06 09:45:40] Egor Yakovlev from Toronto Maple Leafs is back from Bruised Right Shoulder Injury.
[2019-10-04 09:09:14] Auto Lines Partial Function has been run for Toronto Maple Leafs.
[2019-10-04 09:09:14] Auto Roster Partial Function has been run for Toronto Maple Leafs.
[2019-10-02 12:40:26] Game 1 - Egor Yakovlev from Toronto Maple Leafs is injured (Bruised Right Shoulder) and is out for 1 week.
[2019-10-02 12:39:29] Successfully loaded Toronto Maple Leafs lines done with STHS Client - 3.1.6.6
[2019-10-02 12:39:29] Petr Mrazek of Toronto Maple Leafs was sent to farm.
[2019-10-02 12:39:29] Valeri Nichushkin of Toronto Maple Leafs was sent down to farm.
[2019-10-02 12:39:29] Cameron Schilling of Toronto Maple Leafs was sent down to farm.
[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.



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
14834000011819-1522000011113-231200000761718314900576026910087814251908617332618.75%36683.33%015731949.22%16331851.26%5110648.11%186126199629950
Total Saison Régulière834000011819-1522000011113-231200000761718314900576026910087814251908617332618.75%36683.33%015731949.22%16331851.26%5110648.11%186126199629950