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Meneurs d'équipe

Stats Équipe
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralJocelyn Charette
EntraîneurJared Bednar
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomFleat Center
Capacité25,000
Assistance
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure16
Limite contact 38 / 50
Espoirs5
Plafond salarial
Cap Salarial de la Saison estimé0$
Plafond salarial disponible90,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20
Finance
Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel255,467,087$
Compte bancaire projeté255,467,087$
Historique d'équipe
Saison actuelle0-0-0 (0PTS)
Historique739-767-147 (0.447%)
Apparitions séries éliminatoires 9
Historique séries éliminatoires (W-L)57-48
Stanley Cup2


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
1Martin NecasX100.0058508693658797887398786558748165257802613,900,000$
2Mikael GranlundX100.0056438392508799788583728270888830207603316,000,000$
3Logan CooleyX100.006046789257849481808477714064749023740212925,000$
4Mason McTavishX100.006254808573839573867274679066758520720221925,000$
5Charlie CoyleX100.0070558478758399628458678378888630207103337,500,000$
6Kyle PalmieriX100.0055468586578699694064746861908825207003445,500,000$
7Stefan NoesenX100.0086537683668196678360736540868435207003232,500,000$
8Alexis LafreniereX100.0074498183638399684068676773707775206902449,000,000$
9Frank Nazar (R)X100.005344818552817965806269769064739023680213925,000$
10Zack BolducX100.007548808455769266405972724066718523670222925,000$
11Kevin HayesX100.0059578876797587608753676669888230206603323,500,000$
12Rocco GrimaldiX100.0052388484407565614070515440868135206203211,250,000$
13Brandon MontourX100.0064537386618898704063776890848640207103133,750,000$
14Carson SoucyX100.0076557875757994534050577440848240206903133,000,000$
15Darren RaddyshX100.0052508683647993674075606640808050206902931,500,000$
16Joel HanleyX100.0064488279528179534051557840908625236803421,000,000$
17Andreas EnglundX100.0092846375697267494045546740807650206502921,000,000$
18Nikita ZaitsevX100.0083488377615550544051567740907325206503421,500,000$
Rayé
1Kiefer SherwoodX100.0099498184587996664062708040828145207103000$
2Nick BjugstadX100.0077558575747588578254606579888230206503300$
Équipe Mineure
1Riley BarberX100.0048467883586050634058685773847240206103121,000,000$
2Jeffrey Truchon-VielX100.0098844675687767474049467099787855206102811,100,000$
3Andrew AgozzinoX100.0067437082486454577054605640907725206003411,500,000$
4Rasmus AsplundX100.0052448379547262537050567040787555206002811,600,000$
5Ty Mueller (R)X100.005745839052736350705545704066708520600221575,000$
6Hudson FaschingX100.0055548775727372494044546640827845205903011,000,000$
7Nolan FooteX100.0075597976686252554052585873726770205902541,500,000$
8Justin BaileyX100.0070567775777767474041535740828045205803021,500,000$
9Mitchell StephensX100.0061498675637062498946535840787455205802831,000,000$
10Brett SeneyX100.0062427081406757534061445540807450185702921,500,000$
11Dennis GilbertX100.0091825675736763534057506740807450206502921,000,000$
12TJ BrodieX100.0047478376597680534052557040928420186503523,500,000$
13Stian Solberg (R)X100.007351868468555050404555604062599520600201575,000$
14Jacob LarssonX100.0059487575665550504055445040786755205602800$
MOYENNE D’ÉQUIPE100.00675279816275776055596167548078512065
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
1Sergei Bobrovsky100.009396998584858486858691969110208503748,500,000$
2Matt Murray100.008550609571696968707395847740237203121,500,000$
Rayé
Équipe Mineure
1Pheonix Copley100.008571769355545653525491887130186403333,000,000$
2Malcolm Subban100.007550609350505050505040866835205803211,000,000$
MOYENNE D’ÉQUIPE100.0085677492656565646466798977292070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jared Bednar75889496887564CAN5316,000,000$


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Alexis LafreniereMapleLeafsLW242001-10-11No196 Lbs6 ft2NoNoNo4Pro Only9,000,000$9,000,000$9,000,000$No9,000,000$9,000,000$9,000,000$
RFA
Lien / Lien NHL
Andreas EnglundMapleLeafsD291996-01-21No200 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$
UFA
Lien / Lien NHL
Brandon MontourMapleLeafsD311994-04-11No199 Lbs6 ft0NoNoYes3Pro & Farm3,750,000$3,750,000$3,750,000$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Carson SoucyMapleLeafsD311994-07-27No208 Lbs6 ft5YesNoYes3Pro & Farm3,000,000$3,000,000$3,000,000$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Charlie CoyleMapleLeafsC331992-03-02No215 Lbs6 ft3NoNoYes3Pro Only7,500,000$7,500,000$7,500,000$No7,500,000$7,500,000$
UFA
Lien / Lien NHL
Darren RaddyshMapleLeafsD291996-02-28No202 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$1,500,000$
UFA
Lien / Lien NHL
Frank NazarMapleLeafsC212004-01-14Yes190 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$925,000$No925,000$925,000$
RFA
Lien / Lien NHL
Joel HanleyMapleLeafsD341991-06-08No186 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$
UFA
Lien / Lien NHL
Kevin HayesMapleLeafsRW331992-05-08No216 Lbs6 ft5YesNoYes2Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$
UFA
Lien / Lien NHL
Kiefer SherwoodMapleLeafsLW301995-03-31No194 Lbs6 ft0NoNoNo0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Kyle PalmieriMapleLeafsLW341991-02-01No195 Lbs5 ft11NoNoYes4Pro Only5,500,000$5,500,000$5,500,000$No5,500,000$5,500,000$5,500,000$
UFA
Lien / Lien NHL
Logan CooleyMapleLeafsC212004-05-04No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$No925,000$
RFA
Lien / Lien NHL
Martin NecasMapleLeafsRW261999-01-15No195 Lbs6 ft3NoNoYes1Pro & Farm3,900,000$3,900,000$3,900,000$No
RFA
Lien / Lien NHL
Mason McTavishMapleLeafsC222003-01-30No219 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$925,000$No
RFA
Lien / Lien NHL
Matt MurrayMapleLeafsG311994-05-25No178 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$
UFA
Lien / Lien NHL
Mikael GranlundMapleLeafsLW331992-02-26No185 Lbs5 ft10NoNoYes1Pro Only6,000,000$6,000,000$6,000,000$No
UFA
Lien / Lien NHL
Nick BjugstadMapleLeafsC331992-07-17No205 Lbs6 ft5NoNoYes0Pro & Farm
UFA
0$0$NoLien / Lien NHL
Nikita ZaitsevMapleLeafsD341991-10-29No192 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$
UFA
Lien / Lien NHL
Rocco GrimaldiMapleLeafsLW321993-02-08No179 Lbs5 ft6NoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$No
UFA
Lien / Lien NHL
Sergei BobrovskyMapleLeafsG371988-09-20No190 Lbs6 ft2NoNoYes4Pro Only8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$
UFA
Lien / Lien NHL
Stefan NoesenMapleLeafsRW321993-02-12No205 Lbs6 ft1YesNoYes3Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Zack BolducMapleLeafsRW222003-02-24No187 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.64197 Lbs6 ft12.182,936,364$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
64,600,000$52,525,000$42,175,000$23,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael GranlundLogan CooleyMartin Necas40014
2Kyle PalmieriMason McTavishStefan Noesen30023
3Alexis LafreniereCharlie CoyleZack Bolduc20122
4Rocco GrimaldiFrank NazarKevin Hayes10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourCarson Soucy45023
2Darren RaddyshJoel Hanley35122
3Andreas EnglundNikita Zaitsev20131
4Brandon MontourCarson Soucy0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael GranlundLogan CooleyMartin Necas60122
2Kyle PalmieriMason McTavishStefan Noesen40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourCarson Soucy60122
2Darren RaddyshJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyMikael Granlund60122
2Mason McTavishKyle Palmieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourCarson Soucy60122
2Darren RaddyshJoel Hanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Cooley60122Brandon MontourCarson Soucy60122
2Mason McTavish40122Darren RaddyshJoel Hanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyMikael Granlund60122
2Mason McTavishKyle Palmieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourCarson Soucy60122
2Darren RaddyshJoel Hanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael GranlundLogan CooleyMartin NecasBrandon MontourCarson Soucy
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael GranlundLogan CooleyMartin NecasBrandon MontourCarson Soucy
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charlie Coyle, Stefan Noesen, Kyle PalmieriCharlie Coyle, Stefan NoesenCharlie Coyle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Hanley, Andreas Englund, Nikita ZaitsevJoel HanleyJoel Hanley, Andreas Englund
Tirs de pénalité
Martin Necas, Mikael Granlund, Logan Cooley, Mason McTavish, Charlie Coyle
Gardien
#1 : Sergei Bobrovsky, #2 : Matt Murray


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


Charte de profondeur
Ailier gaucheCentreAilier droit
Mikael Granlund
Mikael Granlund
AGE:33
SK:92
EN:87
DU:99
PH:78
PA:83
SC:72
DF:82
Kiefer Sherwood
Kiefer Sherwood
AGE:30
SK:84
EN:79
DU:96
PH:66
PA:62
SC:70
DF:80
Kyle Palmieri
Kyle Palmieri
AGE:34
SK:86
EN:86
DU:99
PH:69
PA:64
SC:74
DF:68
Alexis Lafreniere
Alexis Lafreniere
AGE:24
SK:83
EN:83
DU:99
PH:68
PA:68
SC:67
DF:67
Rocco Grimaldi
Rocco Grimaldi
AGE:32
SK:84
EN:75
DU:65
PH:61
PA:70
SC:51
DF:54
Jeffrey Truchon-Viel
Jeffrey Truchon-Viel
AGE:28
SK:75
EN:77
DU:67
PH:47
PA:49
SC:46
DF:70
Nolan Foote
Nolan Foote
AGE:25
SK:76
EN:62
DU:52
PH:55
PA:52
SC:58
DF:58
Brett Seney
Brett Seney
AGE:29
SK:81
EN:67
DU:57
PH:53
PA:61
SC:44
DF:55
Logan Cooley
Logan Cooley
AGE:21
SK:92
EN:84
DU:94
PH:81
PA:84
SC:77
DF:71
Mason McTavish
Mason McTavish
AGE:22
SK:85
EN:83
DU:95
PH:73
PA:72
SC:74
DF:67
Charlie Coyle
Charlie Coyle
AGE:33
SK:78
EN:83
DU:99
PH:62
PA:58
SC:67
DF:83
Frank Nazar (R)
Frank Nazar
AGE:21
SK:85
EN:81
DU:79
PH:65
PA:62
SC:69
DF:76
Nick Bjugstad
Nick Bjugstad
AGE:33
SK:75
EN:75
DU:88
PH:57
PA:54
SC:60
DF:65
Ty Mueller (R)
Ty Mueller
AGE:22
SK:90
EN:73
DU:63
PH:50
PA:55
SC:45
DF:70
Rasmus Asplund
Rasmus Asplund
AGE:28
SK:79
EN:72
DU:62
PH:53
PA:50
SC:56
DF:70
Andrew Agozzino
Andrew Agozzino
AGE:34
SK:82
EN:64
DU:54
PH:57
PA:54
SC:60
DF:56
Mitchell Stephens
Mitchell Stephens
AGE:28
SK:75
EN:70
DU:62
PH:49
PA:46
SC:53
DF:58
Martin Necas
Martin Necas
AGE:26
SK:93
EN:87
DU:97
PH:88
PA:98
SC:78
DF:65
Stefan Noesen
Stefan Noesen
AGE:32
SK:83
EN:81
DU:96
PH:67
PA:60
SC:73
DF:65
Zack Bolduc
Zack Bolduc
AGE:22
SK:84
EN:76
DU:92
PH:66
PA:59
SC:72
DF:72
Kevin Hayes
Kevin Hayes
AGE:33
SK:76
EN:75
DU:87
PH:60
PA:53
SC:67
DF:66
Riley Barber
Riley Barber
AGE:31
SK:83
EN:60
DU:50
PH:63
PA:58
SC:68
DF:57
Hudson Fasching
Hudson Fasching
AGE:30
SK:75
EN:73
DU:72
PH:49
PA:44
SC:54
DF:66
Justin Bailey
Justin Bailey
AGE:30
SK:75
EN:77
DU:67
PH:47
PA:41
SC:53
DF:57

Défense #1Défense #2Gardien
Brandon Montour
Brandon Montour
AGE:31
SK:86
EN:88
DU:98
PH:70
PA:63
SC:77
DF:68
Darren Raddysh
Darren Raddysh
AGE:29
SK:83
EN:79
DU:93
PH:67
PA:75
SC:60
DF:66
Carson Soucy
Carson Soucy
AGE:31
SK:75
EN:79
DU:94
PH:53
PA:50
SC:57
DF:74
Joel Hanley
Joel Hanley
AGE:34
SK:79
EN:81
DU:79
PH:53
PA:51
SC:55
DF:78
Andreas Englund
Andreas Englund
AGE:29
SK:75
EN:72
DU:67
PH:49
PA:45
SC:54
DF:67
Dennis Gilbert
Dennis Gilbert
AGE:29
SK:75
EN:67
DU:63
PH:53
PA:57
SC:50
DF:67
Nikita Zaitsev
Nikita Zaitsev
AGE:34
SK:77
EN:55
DU:50
PH:54
PA:51
SC:56
DF:77
TJ Brodie
TJ Brodie
AGE:35
SK:76
EN:76
DU:80
PH:53
PA:52
SC:55
DF:70
Stian Solberg (R)
Stian Solberg
AGE:20
SK:84
EN:55
DU:50
PH:50
PA:45
SC:55
DF:60
Jacob Larsson
Jacob Larsson
AGE:28
SK:75
EN:55
DU:50
PH:50
PA:55
SC:44
DF:50
Sergei Bobrovsky
Sergei Bobrovsky
AGE:37
SK:93
AG:84
RB:85
SC:84
HS:86
RT:85
DF:86
Matt Murray
Matt Murray
AGE:31
SK:85
AG:71
RB:69
SC:69
HS:68
RT:70
DF:73
Pheonix Copley
Pheonix Copley
AGE:33
SK:85
AG:55
RB:54
SC:56
HS:53
RT:52
DF:54
Malcolm Subban
Malcolm Subban
AGE:32
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Espoirs
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Brad GardinerMapleLeafs2037103
Carter SotheranMapleLeafs2037165
Jacob RombachMapleLeafs203965
Melvin StrahlMapleLeafs2037196
Will ReynoldsMapleLeafs2039108

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2039
2040
2041
2042



MapleLeafs 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
1Andy Sutton1643287493780-1112282120205529559.71%10052709716.494985134302961545442250.77%20.58736
2Alex Steen5453404037431272964882226262512.95%2681341524.621041662707131462083591252.18%181.11739
3Alec Martinez1322198531729-16912081964143023158.55%16992684320.3111019630613354913321890.00%30.5422
4R.J. Umberger7292703926626273513801722240711.22%2791543721.187714221951272969361854.26%20.86943
5Mike Cammalleri578216258474-591483121573193411.17%821158420.047110918047724626331448.48%70.821137

MapleLeafs 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
1Tuukka Rask962464387750.9053.075571815232285330113272644190.716303
2Sergei Bobrovsky282107139170.8963.5015717227917880201130.64356
3Daniel Lacosta94453180.9033.06509936226026671055610.61526
4Pheonix Copley78343480.8933.48446816025924280440.6676
5Evgeni Nabokov84334140.8973.19477912125424720220.80826

MapleLeafs 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
2017823930022272742686412510011131491123741142001114125156-31842744437171207791102271008618999282618880102818473004615.33%2153683.26%71023197251.88%1041206750.36%726142950.80%173998319078291496754
201882492503113268215534129802011146974941201701102122118410526844971713081988526800873927864265988459916742204821.82%1241984.68%41101201454.67%1055206950.99%716136852.34%172398817557271467748
2019823828046062252187412113012041181041441171503402107114-79022537459923047868825750658928964248084269817122183013.76%1692485.80%41067204152.28%1032193553.33%602117151.41%170293917157701559779
2020822830062511261265-441141304037141133841141702224120132-1270261416677230529810025710733899888254484958517452064622.33%1352978.52%21074200753.51%974186352.28%651124752.21%172996217277561562792
202182442601065281238434122150002213812414412211010431431142990281485766330106927628720955987906255576093316594529621.24%3647579.40%21777326554.43%1653303654.45%702130353.88%1974136219606271039516
202282284204026232288-5641171602024126135-941112602002106153-4764232422654110888355255408938547862605802106517634117618.49%4099277.51%31617301953.56%1645310652.96%642131548.82%1872126520596361037505
202382304004116247265-1841172001003140131941132003113107134-2769247447694440868769252108338518012625764114216144218019.00%4088579.17%11525295551.61%1579315150.11%660129451.00%1889128320416321036502
20248240320313329028194121150211114614154119170102214414049629050279212098978928780959969923255681098018104659420.22%3928777.81%51659324451.14%1418297147.73%693138250.14%1903129520236201034507
202582442801234328299294126110021116215210411817010231661471910232857089840013010886287801009890964284881290517383939022.90%3967780.56%91590313850.67%1683319852.63%686137749.82%1869125720526311045510
20268241290145234328261412115012111791384141201400241164144201003435869292201121121132938096698197126937831034188842410324.29%43610176.83%91625323250.28%1542310649.65%722140651.35%1915130420056221039510
202782313502374257278-2141141901133118144-2641171601241139134587257443700230928274256608468658272670767111218544529420.80%4849580.37%31507300650.13%1542317748.54%708134552.64%1906129820526331026497
203082214904224192266-744111240211294122-284110250211298144-466019234753905061616420340680653682275683597718984217116.86%4339977.14%11118263042.51%1328319341.59%503125440.11%1829121120746471056514
203182195001273207297-9041112300151101126-254182701122106171-6559207360567130677854214207096947182794804102918253595415.04%44711374.72%31335273648.79%1477317746.49%610130246.85%1859124420676301047506
203282165202138199321-12241102501023108155-47416270111591166-7551199354553110686759223207267107632989842109019393566317.70%47210278.39%21340270049.63%1601338347.32%614129347.49%1769115321596351050501
203382234901324216306-9041132401102111142-3141102500222105164-5959216384600120667968220106737647492935790102817723606718.61%4287981.54%41266265647.67%1497325545.99%604130646.25%1725112021676471062501
203482116002252177336-159416270124185159-74415330101192177-8540177308485110754352202606476527023173890111118083686517.66%4529379.42%51283261849.01%1620339347.75%636131648.33%1679108522366521041483
203582264701134227314-8741171701033131144-13419300010196170-746522739662300074767323670747797811272583392218993907017.95%4077980.59%31328283446.86%1389297046.77%630134946.70%1875125320346291050519
203682294204223258297-3941152101022127142-1541142103201131155-2475258462720030899271240707338038432838807104717614097718.83%4378879.86%31373273850.15%1637322850.71%636134247.39%1843125920916281025491
203782303804721250294-4441112104221117147-3041191700500133147-1480250441691409470807233879972479826269774199418153786617.46%4038778.41%81409270952.01%1511296850.91%643128150.20%1931131919896141038511
203882343507204240255-1541201601103127128-141141906101113127-1488240435675338973718243182482674946264678993816873926316.07%4067082.76%31489287151.86%1596309151.63%611123949.31%1912130120166221027504
Total Saison régulière164062176705744619049725583-61182034135302717344825642676-11282028041403027274224082907-499153449728624135963444183161216811393499211623160511667015162544061628419217357087395139918.92%7417153079.37%81275065438550.58%288205833749.40%129952631949.37%366532389040139131952274511158
Séries éliminatoires
201725169000008364191192000004124171477000004240232831382210003224238570259324240788269262618701217.14%621379.03%231965448.78%32964650.93%20839452.79%57032224631079495244
2018734000001421-741300000915-63210000056-161422360004731900606763235871061311715.88%28292.86%07815849.37%9619250.00%6210559.05%134681566713267
20197340000022211413000001014-432100000127562237590106882220728565215769214225624.00%21385.71%010718458.15%8515654.49%489848.98%147821476512461
2020734000002122-13120000011110422000001011-16213556000777234083747719976461302328.70%15286.67%09619150.26%7015146.36%4810844.44%146831506212262
20211156000002635-9633000001718-152300000917-81026487400081072910881089433910512520152917.31%571180.70%016534447.97%20040849.02%7416744.31%2311542958413263
2024624000002128-730300000916-732100000121204213859100105522507586622055910511729517.24%341264.71%011624746.96%12123351.93%6411257.14%14195145457636
20251275000004336765100000261511624000001721-41443761190001217134300123145125410117180269751013.33%651084.62%123250645.85%23049946.09%8719145.55%28118533710016582
2026241680000098791911830000051341713850000047452329817627401042272683803052472648762493285961112926.13%1402681.43%045689451.01%508102449.61%19742945.92%545367624185315149
2027624000001621-5312000001012-23120000069-3416274300050101620565253186547813019526.32%37489.19%08821341.31%10520650.97%439047.78%12682160457535
Total Séries éliminatoires10557480000034432717512922000001841592554282600000160168-81143445979411201261051023449011211188104334531092132223344217918.76%4598381.92%31657339148.86%1744351549.62%831169449.06%23241442448317361642801

MapleLeafs 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
1Alexander Korolyuk45083138221962626186168579.68%269797817.73121931562351116650.53%20.5500
2Alex Steen543540759133723332110.90%28136925.36813217401167350.78%11.1000
3R.J. Umberger7427386578116313720613.11%19152920.67612184100056351.05%00.8500
4Mike Cammalleri4825285313122812819213.02%693119.41213154900023148.73%11.1400
5Johan Franzen4819264512241107415612.18%6101821.2274114910136142.71%00.8800

MapleLeafs 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
1Tuukka Rask78403260.9003.224656422502509251810.0000
2Ray Emery2616450.9192.3716222064788310200.0000
3Ray Emery41100.9193.051770091110000.0000
4Brian Boucher20000.9203.8731002250000.0000
5Daniel Lacosta10000.9173.0020001124000.0000