Connexion

Maple Leafs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Chris Cunningham | Morale : 70 | Moyenne d’équipe : 67
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralChris Cunningham
EntraîneurMike Yeo
DivisionMetropolitaine
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure18
Limite contact 36 / 60
Espoirs50


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique97-58-9 (0.591%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)3-8
Coupe Stanley0


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 SPÂgeContratSalaire
1Jimmy VeseyXX100.006960957780779068736467806867670907102921,000,000$
2Nils Hoglander (R)XX100.00656092816979897570677267745555087710211900,000$
3Vasily Podkolzin (R)XX100.00706092767575997170667167715555088710212900,000$
4Taylor Raddysh (R)X100.00736096748074947770667069745555090700242900,000$
5Ryan ReavesXX100.009699857090698666706464646581810866903521,900,000$
6Chris WagnerXXX100.007765877178728367846363786564640906803121,200,000$
7Trent FredericXX100.007670747581728268816468696855550906802411,000,000$
8Jake VirtanenX100.00806076708674817070606966706363090670263900,000$
9Drew O'Connor (R)X100.00656095707869607475646667705555090660241900,000$
10Hudson FaschingX100.00736099728160606970606068655555090640272900,000$
11Jonah GadjovichXX100.00828563708465636570626263645555090640232900,000$
12A.J. GreerXX100.006060607077606060706060606055550906202521,500,000$
13Cameron York (R)X100.00666095756981608550707470805555090700212900,000$
14Braden Schneider (R)X100.00736095767972636650696871675555090680212900,000$
15Noah JuulsenX100.00606060707360606050606060605555090610253900,000$
Rayé
1Nick Merkley (R)X100.00606060707160606070606060605555090620251900,000$
MOYENNE D’ÉQUIPE100.0072658373787074696864666768585808967
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 SPÂgeContratSalaire
1Nico Daws (R)100.0075747687727670727479777270087732213900,000$
2Michael Houser100.0083627075626262626562626667090642301900,000$
Rayé
MOYENNE D’ÉQUIPE100.007968738167696667707170696908969
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo85858080887585CAN4821,000,000$


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
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


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
A.J. GreerMaple Leafs (TOR)LW/RW251996-12-14No204 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Braden SchneiderMaple Leafs (TOR)D212001-09-20Yes202 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Cameron YorkMaple Leafs (TOR)D212001-01-05Yes175 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Chris WagnerMaple Leafs (TOR)C/LW/RW311991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien
Drew O'ConnorMaple Leafs (TOR)LW241998-06-09Yes200 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Hudson FaschingMaple Leafs (TOR)RW271995-07-28No204 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jake VirtanenMaple Leafs (TOR)RW261996-08-17No229 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Jimmy VeseyMaple Leafs (TOR)LW/RW291993-05-26No206 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Jonah GadjovichMaple Leafs (TOR)LW/RW231998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Michael HouserMaple Leafs (TOR)G301992-09-13No185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Nick MerkleyMaple Leafs (TOR)RW251997-05-23Yes194 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Nico DawsMaple Leafs (TOR)G212000-12-22Yes205 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Nils HoglanderMaple Leafs (TOR)LW/RW212000-12-20Yes185 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLien
Noah JuulsenMaple Leafs (TOR)D251997-04-02No193 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Ryan ReavesMaple Leafs (TOR)LW/RW351987-01-20No225 Lbs6 ft1NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Taylor RaddyshMaple Leafs (TOR)RW241998-02-18Yes198 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Trent FredericMaple Leafs (TOR)C/LW241998-02-11No203 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Vasily PodkolzinMaple Leafs (TOR)LW/RW212001-06-24Yes190 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1825.17200 Lbs6 ft21.891,016,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vasily PodkolzinTrent FredericNils Hoglander40122
2Jimmy VeseyChris WagnerTaylor Raddysh30122
3Ryan ReavesDrew O'ConnorJake Virtanen20122
4Drew O'ConnorVasily PodkolzinJonah Gadjovich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron YorkBraden Schneider40122
2Noah JuulsenJonah Gadjovich30122
3Hudson FaschingA.J. Greer20122
4Cameron YorkBraden Schneider10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vasily PodkolzinTrent FredericNils Hoglander60122
2Jimmy VeseyChris WagnerTaylor Raddysh40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron YorkBraden Schneider60122
2Noah JuulsenJonah Gadjovich40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vasily PodkolzinNils Hoglander60122
2Jimmy VeseyTaylor Raddysh40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron YorkBraden Schneider60122
2Noah Juulsen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vasily Podkolzin60122Cameron YorkBraden Schneider60122
2Nils Hoglander40122Noah Juulsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vasily PodkolzinNils Hoglander60122
2Jimmy VeseyTaylor Raddysh40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron YorkBraden Schneider60122
2Noah Juulsen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasily PodkolzinTrent FredericNils HoglanderCameron YorkBraden Schneider
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasily PodkolzinTrent FredericNils HoglanderCameron YorkBraden Schneider
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Reaves, Jake Virtanen, Hudson FaschingRyan Reaves, Jake VirtanenHudson Fasching
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Juulsen, Cameron York, Braden SchneiderNoah JuulsenCameron York, Braden Schneider
Tirs de pénalité
Vasily Podkolzin, Nils Hoglander, Jimmy Vesey, Taylor Raddysh, Ryan Reaves
Gardien
#1 : Nico Daws, #2 : Michael Houser


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
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,830,000$ 1,830,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Maple Leafs Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sonny Milano97447011463184622336212.15%17185519.131011214410177042.3611.2323
2Kyle Turris77407311314127731534511.59%27187324.338202849011115059.6311.2113
3Jimmy Vesey8949631123266625444011.14%34206523.2113162973202118251.1821.0802
4Michael Rasmussen8241539437185525030713.36%19147217.95814225101108155.7511.2800
5Nils Hoglander7243499234181122204449.68%27160022.245101572000103650.3501.1514

Maple Leafs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Laurent Brossoit66491430.9073.1439218120522160430.7504
2Pheonix Copley100484260.8983.9656322137236410610.78614
3Oskar Dansk100200.9322.8032100152220000.00%0

Maple Leafs Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
4825021073103742731014123130311018814444412780420018612957119374668104231140130969329610771113109218280780879522833137724.60%3638077.96%51710309655.23%1597297253.73%782143554.49%2058146218685721008510
202182353701531311324-13411915004211601471341162201110151177-268431153684711118105845307710011021103830327695363422282395221.76%2806377.50%21401297147.16%1333304343.81%645143744.89%1923135320155701013498
Total Saison régulière1648558088416855978882422803531348291578243300531033730631203685120418894225823518014637320782134213048608317611429451155212923.37%64314377.76%73111606751.28%2930601548.71%1427287249.69%398128163883114220221008
Séries éliminatoires
4734000002833-5404000001321-83300000015123628507800991003201021041140239547420719315.79%32971.88%021530470.72%17724173.44%9513371.43%185135146478744
2021404000001625-920200000714-720200000911-201629450045701243940450190683212510440.00%15566.67%03812829.69%6618036.67%268430.95%7955108285123
Total Séries éliminatoires1138000004458-14606000002035-15532000002423164479123001314170444141144159042912210633229724.14%471470.21%025343258.56%24342157.72%12121755.76%2651902557613967

Maple Leafs Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jimmy Vesey115712-148415010.00%423421.281231100000032.0001.0300
2Trent Frederic113811622125535.66%418917.24011700000061.8901.1600
3Kyle Turris75510-303484211.90%117825.56112400042080.6911.1200
4Milan Lucic755104625112718.52%214420.64101500000167.7401.3800
5Nils Hoglander4527-324132321.74%79423.68123200000051.1101.4800

Maple Leafs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley113800.8655.3763700574230000.00%0
2Oskar Dansk10000.8332.862100160000.00%0