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Centre de jeu
Lightning
5-7-3, 13pts
2
FINAL
6 MapleLeafs
11-2-2, 24pts
Team Stats
SOL1StreakL1
2-2-2Home Record6-1-0
3-5-1Away Record5-1-2
3-4-3Last 10 Games8-1-1
2.87Goals Per Game4.40
4.07Goals Against Per Game3.67
23.46%Power Play Percentage26.67%
72.60%Penalty Kill Percentage85.00%
MapleLeafs
11-2-2, 24pts
0
FINAL
6 Oilers
7-7-2, 16pts
Team Stats
L1StreakW2
6-1-0Home Record4-5-1
5-1-2Away Record3-2-1
8-1-1Last 10 Games4-4-2
4.40Goals Per Game2.69
3.67Goals Against Per Game2.63
26.67%Power Play Percentage14.46%
85.00%Penalty Kill Percentage78.16%
MapleLeafs
11-2-2, 24pts
Jour 32
Canucks
9-6-0, 18pts
Stats Équipe
L1SéquenceL1
6-1-0Fiche domicile7-3-0
5-1-2Fiche visiteur2-3-0
8-1-110 derniers matchs6-4-0
4.40Buts par match 3.80
3.67Buts contre par match 3.07
26.67%Pourcentage en avantage numérique25.58%
85.00%Pourcentage en désavantage numérique81.82%
MapleLeafs
11-2-2, 24pts
Jour 34
Flames
6-7-2, 14pts
Stats Équipe
L1SéquenceL1
6-1-0Fiche domicile4-3-2
5-1-2Fiche visiteur2-4-0
8-1-110 derniers matchs3-6-1
4.40Buts par match 3.20
3.67Buts contre par match 3.80
26.67%Pourcentage en avantage numérique15.87%
85.00%Pourcentage en désavantage numérique82.02%
Sabres
11-4-1, 23pts
Jour 36
MapleLeafs
11-2-2, 24pts
Stats Équipe
SOW1SéquenceL1
6-2-0Fiche domicile6-1-0
5-2-1Fiche visiteur5-1-2
8-1-110 derniers matchs8-1-1
3.56Buts par match 4.40
2.69Buts contre par match 3.67
14.61%Pourcentage en avantage numérique26.67%
86.96%Pourcentage en désavantage numérique85.00%
Meneurs d'équipe
Simon HolmstromButs
Simon Holmstrom
10
Darren RaddyshPasses
Darren Raddysh
18
Simon HolmstromPoints
Simon Holmstrom
22
Simon HolmstromPlus/Moins
Simon Holmstrom
8
Sergei BobrovskyVictoires
Sergei Bobrovsky
10
Matt MurrayPourcentage d’arrêts
Matt Murray
0.935

Stats Équipe
Buts pour
66
4.40 GFG
Tirs pour
487
32.47 Avg
Pourcentage en avantage numérique
26.7%
20 GF
Début de zone offensive
38.8%
Buts contre
55
3.67 GAA
Tirs contre
586
39.07 Avg
Pourcentage en désavantage numérique
85.0%
12 GA
Début de la zone défensive
43.8%
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
Assistance15,877
Billets de saison10,000
Information formation
Équipe Pro24
Équipe Mineure21
Limite contact 45 / 50
Espoirs8
Plafond salarial
Cap Salarial de la Saison estimé69,771,396$
Plafond salarial disponible20,228,604$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24
Finance
Revenu annuel à ce jour12,401,860$
Dépenses annuelles à ce jour12,718,269$
Revenus de la saison estimés60,237,606$
Dépenses de la saison estimées63,053,151$
Compte bancaire actuel254,709,152$
Compte bancaire projeté249,968,974$
Historique d'équipe
Saison actuelle11-2-2 (24PTS)
Historique750-769-150 (0.449%)
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 NecasX100.0058508693658797887398786558748165367802613,900,000$
2Mikael GranlundX98.0056438392508799788583728270888830367603316,000,000$
3Logan CooleyX98.006046789257849481808477714064749037740212925,000$
4Mason McTavishX100.006254808573839573867274679066758536720221925,000$
5Charlie CoyleX100.0070558478758399628458678378888630387103337,500,000$
6Simon HolmstromX100.0048548883738394704067727973707775387102477,500,000$
7Kyle PalmieriX100.0055468586578699694064746861908825387003445,500,000$
8Stefan NoesenX100.0086537683668196678360736540868435387003232,500,000$
9Alexis LafreniereX100.0074498183638399684068676773707775386902441$
10Zack BolducX100.007548808455769266405972724066718538680222925,000$
11Frank Nazar (R)X100.005344818552817965806269769064739038680213925,000$
12Brett MurrayX100.0061718175857565554047647040767660296302731,000,000$
13Brandon MontourX100.0064537386618898704063776890848640387103133,750,000$
14Carson SoucyX100.0076557875757994534050577440848240387003133,000,000$
15Darren RaddyshX100.0052508683647993674075606640808050386902931,500,000$
16Joel HanleyX100.0064488279528179534051557840908625386803421,000,000$
17Andreas EnglundX100.0092846375697267494045546740807650416502921,000,000$
18Nikita ZaitsevX100.0083488377615550544051567740907325326503421,500,000$
Rayé
1Kevin HayesX100.0059578876797587608753676669888230206603323,500,000$
2Cameron HughesX100.0057547381537868594060576290807950196302931,000,000$
3TJ BrodieX100.0047478376597680534052557040928420206503523,500,000$
Équipe Mineure
1Nathan BastianX100.0095577975727383524048566740787655176202831,000,000$
2Riley BarberX100.0048467883586050634058685773847240176103121,000,000$
3Jeffrey Truchon-VielX100.0098844675687767474049467099787855196102811,100,000$
4Rocco GrimaldiX100.0052388484407565614070515440868135176103211,250,000$
5Andrew AgozzinoX100.0067437082486454577054605640907725176003411,500,000$
6Rasmus AsplundX100.0052448379547262537050567040787555176002811,600,000$
7Ty Mueller (R)X100.005745839052736350705545704066708517600221575,000$
8Hudson FaschingX100.0055548775727372494044546640827845175903011,000,000$
9Nolan FooteX100.0075597976686252554052585873726770175902541,500,000$
10Justin BaileyX100.0070567775777767474041535740828045175803021,500,000$
11Mitchell StephensX100.0061498675637062498946535840787455175802831,000,000$
12Dennis GilbertX100.0091825675736763534057506740807450196502921,000,000$
13Ryan EllisX100.0054418488475550694055536540907325186203431,000,000$
14Joseph CecconiX100.0075657675757873354037336540787855176202831,000,000$
15Roland McKeownX100.0047687776647368524047576840807750156202931,000,000$
16Robbie RussoX100.0070438175597671464054376240868135176203231,000,000$
17Stian Solberg (R)X100.007351868468555050404555604062599517600201575,000$
18Brett SeneyX100.0062427081406757534061445540807450195702921,500,000$
19Simon LundmarkX100.005951827562706535403237504072717018550251575,000$
MOYENNE D’ÉQUIPE99.90655379816375755852575967537977522665
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
1Matt Murray100.008550609571696968707395847740427203121,500,000$
2Pheonix Copley100.008571769355545653525491887130206403333,000,000$
Rayé
1Sergei Bobrovsky95.009396998584858486858691969110418603748,500,000$
Équipe Mineure
1Malcolm Subban100.007550609350505050505040866835195803211,000,000$
2Victor Brattstrom100.00755060935050505050506478645517580281575,000$
MOYENNE D’ÉQUIPE99.0083637192626262616163768674342868
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
1Simon HolmstromMapleLeafsRW1510122282062353113118.87%226017.4045917550002132235.29%3400001.6900000232
2Martin NecasMapleLeafsRW1581321-4155162463113112.70%129319.5724615590001171052.50%4000111.4301010111
3Mikael GranlundMapleLeafsLW1399180408344982618.37%1132024.672249530112701152.94%3400001.1200000031
4Darren RaddyshMapleLeafsD15018186801512165200.00%2533722.53099957000158000.00%000001.0700000000
5Logan CooleyMapleLeafsC1571118-380324849163414.29%735723.8741517591015771246.37%59300001.0101000212
6Mason McTavishMapleLeafsC1598178235294432132028.13%328519.0534711550002383052.14%39700011.1911010300
7Kyle PalmieriMapleLeafsLW15691514013154382113.95%328919.3225711550000350119.05%2100001.0400000011
8Brandon MontourMapleLeafsD15189-48021142810183.57%3438025.401231657000073000.00%000000.4700000000
9Carson SoucyMapleLeafsD15178-23353616247104.17%2836024.030441455000160010.00%000000.4400001001
10Charlie CoyleMapleLeafsC15358-6407292641811.54%417011.3400000000041055.50%19100000.9400000000
11Joel HanleyMapleLeafsD15336712040171131327.27%2333822.58213856000060000.00%000000.3500000010
12Stefan NoesenMapleLeafsRW15516-516028113092216.67%315810.5500000000021033.33%1200000.7600000001
13Alexis LafreniereMapleLeafsLW151452120176295233.45%417811.9200006000070030.00%1000000.5601000010
14Andreas EnglundMapleLeafsD15033-23154345330.00%1220613.7400001000016000.00%000000.2900100000
15Nikita ZaitsevMapleLeafsD13033-160972230.00%1715511.990000000000000.00%000000.3900000100
16Zack BolducMapleLeafsRW1512324093561620.00%1765.0700000000000042.86%700000.7900000000
17Frank NazarMapleLeafsC15123200120133127.69%3765.0800000000000050.60%8300000.7900000001
18Brett MurrayMapleLeafsLW8000-300015050.00%0516.420000000000000.00%100000.0000000000
19Cameron HughesMapleLeafsLW7000200244000.00%0385.560000000000000.00%000000.0000000000
20Dennis GilbertMagics (Tor)D2000-120220020.00%12713.780000100001000.00%000000.0000000000
21Kevin HayesMapleLeafsRW2000000000000.00%000.380000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2706511818371922033433448712432813.35%182436616.172037571275781121453710748.84%142300120.841412191110
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
1Sergei BobrovskyMapleLeafs1410220.9053.7584800535550101.0004141100
2Matt MurrayMapleLeafs11000.9352.0060002310000.0000114000
Statistiques d’équipe totales ou en moyenne1511220.9063.6390800555860101.00041515100


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 ft2YesNoYes4Pro Only1$1$1$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$825,843$No1,000,000$
UFA
Lien / Lien NHL
Brandon MontourMapleLeafsD311994-04-11No199 Lbs6 ft0NoNoYes3Pro & Farm3,750,000$3,750,000$3,096,910$No3,750,000$3,750,000$
UFA
Lien / Lien NHL
Brett MurrayMapleLeafsLW271998-07-20No228 Lbs6 ft5NoNoNo3Pro & Farm1,000,000$1,000,000$825,843$No1,000,000$1,000,000$
UFA
Lien / Lien NHL
Cameron HughesMapleLeafsLW291996-10-09No183 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$1,000,000$825,843$No1,000,000$1,000,000$
UFA
Lien / Lien NHL
Carson SoucyMapleLeafsD311994-07-27No208 Lbs6 ft5YesNoYes3Pro & Farm3,000,000$3,000,000$2,477,528$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Charlie CoyleMapleLeafsC331992-03-02No215 Lbs6 ft3NoNoYes3Pro Only7,500,000$7,500,000$6,193,820$No7,500,000$7,500,000$
UFA
Lien / Lien NHL
Darren RaddyshMapleLeafsD291996-02-28No202 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$1,500,000$1,238,764$No1,500,000$1,500,000$
UFA
Lien / Lien NHL
Frank NazarMapleLeafsC212004-01-14Yes190 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$763,904$No925,000$925,000$
RFA
Lien / Lien NHL
Joel HanleyMapleLeafsD341991-06-08No186 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$825,843$No1,000,000$
UFA
Lien / Lien NHL
Kevin HayesMapleLeafsRW331992-05-08No216 Lbs6 ft5YesNoYes2Pro & Farm3,500,000$3,500,000$2,890,449$No3,500,000$
UFA
Lien / Lien NHL
Kyle PalmieriMapleLeafsLW341991-02-01No195 Lbs5 ft11NoNoYes4Pro Only5,500,000$5,500,000$4,542,135$No5,500,000$5,500,000$5,500,000$
UFA
Lien / Lien NHL
Logan CooleyMapleLeafsC212004-05-04No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$763,904$No925,000$
RFA
Lien / Lien NHL
Martin NecasMapleLeafsRW261999-01-15No195 Lbs6 ft3NoNoYes1Pro & Farm3,900,000$3,900,000$3,220,787$No
RFA
Lien / Lien NHL
Mason McTavishMapleLeafsC222003-01-30No219 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$763,904$No
RFA
Lien / Lien NHL
Matt MurrayMapleLeafsG311994-05-25No178 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$1,500,000$1,238,764$No1,500,000$
UFA
Lien / Lien NHL
Mikael GranlundMapleLeafsLW331992-02-26No185 Lbs5 ft10NoNoYes1Pro Only6,000,000$6,000,000$4,955,056$No
UFA
Lien / Lien NHL
Nikita ZaitsevMapleLeafsD341991-10-29No192 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$1,500,000$1,238,764$No1,500,000$
UFA
Lien / Lien NHL
Pheonix CopleyMapleLeafsG331992-01-18No196 Lbs6 ft4YesNoYes3Pro & Farm3,000,000$3,000,000$2,477,528$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Sergei Bobrovsky (sur la masse salariale)MapleLeafsG371988-09-20No190 Lbs6 ft2NoNoYes4Pro Only8,500,000$8,500,000$7,019,663$No8,500,000$8,500,000$8,500,000$
UFA
Lien / Lien NHL
Simon HolmstromMapleLeafsRW242001-05-24No215 Lbs6 ft2YesNoYes7Pro Only7,500,000$7,500,000$6,193,820$No7,500,000$7,500,000$7,500,000$7,500,000$7,500,000$7,500,000$
UFA
Lien / Lien NHL
Stefan NoesenMapleLeafsRW321993-02-12No205 Lbs6 ft1YesNoYes3Pro & Farm2,500,000$2,500,000$2,064,607$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
TJ BrodieMapleLeafsD351990-06-07No187 Lbs6 ft2NoNoYes2Pro & Farm3,500,000$3,500,000$2,890,449$No3,500,000$
UFA
Lien / Lien NHL
Zack BolducMapleLeafsRW222003-02-24No187 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$763,904$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2429.38198 Lbs6 ft22.712,931,250$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
70,350,001$68,525,000$54,675,000$30,500,000$7,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael GranlundLogan CooleyMartin Necas35014
2Kyle PalmieriMason McTavishSimon Holmstrom35023
3Alexis LafreniereCharlie CoyleStefan Noesen20122
4Brett MurrayFrank NazarZack Bolduc10041
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 Necas60005
2Kyle PalmieriMason McTavishSimon Holmstrom40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourCarson Soucy60023
2Darren RaddyshJoel Hanley40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyMartin Necas60122
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 Granlund60023
2Mason McTavishKyle Palmieri40023
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
Simon Holmstrom, Charlie Coyle, Stefan NoesenSimon Holmstrom, Charlie CoyleSimon Holmstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Hanley, Andreas Englund, Nikita ZaitsevJoel HanleyJoel Hanley, Andreas Englund
Tirs de pénalité
Martin Necas, Alexis Lafreniere, Logan Cooley, Mason McTavish, Simon Holmstrom
Gardien
#1 : Matt Murray, #2 : Pheonix Copley


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
1Blackhawks10000010541100000105410000000000021.00057120004012851755431614173133.33%60100.00%026454548.44%30661549.76%12524451.23%2216297125
2Canadiens1000010023-1000000000001000010023-110.500246000110288911029181324800.00%40100.00%026454548.44%30661549.76%12524451.23%2014278115
3Flyers220000001284110000005321100000075241.0001222340041707320213207628244312541.67%12283.33%026454548.44%30661549.76%12524451.23%452948162612
4Hurricanes1010000056-11010000056-10000000000000.0005101500230039102270441424234125.00%7185.71%026454548.44%30661549.76%12524451.23%2316257115
5Islanders10001000761000000000001000100076121.000713200023113992361421210346233.33%5180.00%026454548.44%30661549.76%12524451.23%2214266125
6Lightning2200000011472200000011470000000000041.0001120310014606712302507218225119631.58%10280.00%026454548.44%30661549.76%12524451.23%493444152513
7Oilers1010000006-6000000000001010000006-600.00000000000019496051121226200.00%6183.33%026454548.44%30661549.76%12524451.23%1810297125
8Panthers11000000321110000003210000000000021.0003690011102868140311510124250.00%5260.00%026454548.44%30661549.76%12524451.23%2014277125
9Predators11000000651000000000001100000065121.00061016003120452491204191615300.00%70100.00%126454548.44%30661549.76%12524451.23%2114276115
10Rangers11000000523110000005230000000000021.00058130021203210101203698304125.00%30100.00%026454548.44%30661549.76%12524451.23%2114257126
11Sabres1000010034-1000000000001000010034-110.500369001110271011424091425300.00%5180.00%026454548.44%30661549.76%12524451.23%2214267125
12Senators20002000752000000000002000200075241.00071219001312621919213812225347228.57%10280.00%026454548.44%30661549.76%12524451.23%473348142513
Total15720321066551175100010342113821032003234-2240.8006611818400172322448713717816511586182192334752026.67%801285.00%126454548.44%30661549.76%12524451.23%33422638711218689
_Since Last GM Reset15720321066551175100010342113821032003234-2240.8006611818400172322448713717816511586182192334752026.67%801285.00%126454548.44%30661549.76%12524451.23%33422638711218689
_Vs Conference126103200554015651000002917126100320026233200.833551011560014182033951041431426451145150276671928.36%611181.97%026454548.44%30661549.76%12524451.23%2721843019114972
_Vs Division73002200261883300000014684000220012120120.8572648740041010221255678552538284146411024.39%34779.41%026454548.44%30661549.76%12524451.23%160110175528642

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1524L16611818448758618219233400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
157232106655
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75100103421
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82132003234
Derniers 10 matchs
WLOTWOTL SOWSOL
611110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
752026.67%801285.00%1
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
137178165111723224
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
26454548.44%30661549.76%12524451.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
33422638711218689


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
18MapleLeafs2Canadiens3ALXSommaire du match
328Lightning2MapleLeafs5BWSommaire du match
542Hurricanes6MapleLeafs5BLSommaire du match
648MapleLeafs7Islanders6AWXSommaire du match
865MapleLeafs2Senators1AWXSommaire du match
1187MapleLeafs7Flyers5AWSommaire du match
13102Panthers2MapleLeafs3BWSommaire du match
15119Rangers2MapleLeafs5BWSommaire du match
18138MapleLeafs3Sabres4ALXSommaire du match
19146MapleLeafs6Predators5AWSommaire du match
22169MapleLeafs5Senators4AWXSommaire du match
23178Flyers3MapleLeafs5BWSommaire du match
25191Blackhawks4MapleLeafs5BWXXSommaire du match
27207Lightning2MapleLeafs6BWSommaire du match
29218MapleLeafs0Oilers6ALSommaire du match
32242MapleLeafs-Canucks-
34255MapleLeafs-Flames-
36273Sabres-MapleLeafs-
38286MapleLeafs-Islanders-
39293Oilers-MapleLeafs-
41309Sabres-MapleLeafs-
43326Canadiens-MapleLeafs-
45342Capitals-MapleLeafs-
47356MapleLeafs-Blues-
50369MapleLeafs-Mammoth-
52394MapleLeafs-GoldenKnights-
54401MapleLeafs-Avalanche-
56420MapleLeafs-Rangers-
57425MapleLeafs-Canadiens-
60451Senators-MapleLeafs-
62467Ducks-MapleLeafs-
64482Penguins-MapleLeafs-
65487MapleLeafs-RedWings-
70505Capitals-MapleLeafs-
73520Mammoth-MapleLeafs-
75537MapleLeafs-Panthers-
76546MapleLeafs-Lightning-
79566Avalanche-MapleLeafs-
81584Bruins-MapleLeafs-
83595MapleLeafs-Devils-
86620Predators-MapleLeafs-
88636Canucks-MapleLeafs-
90651Wild-MapleLeafs-
95688Islanders-MapleLeafs-
96690MapleLeafs-BlueJackets-
98712RedWings-MapleLeafs-
99725Rangers-MapleLeafs-
101740Panthers-MapleLeafs-
103752MapleLeafs-Devils-
106770MapleLeafs-Panthers-
108792MapleLeafs-Lightning-
110800MapleLeafs-Hurricanes-
113820MapleLeafs-Bruins-
115841RedWings-MapleLeafs-
117847MapleLeafs-Sabres-
120870MapleLeafs-Wild-
123895Sharks-MapleLeafs-
125910Bruins-MapleLeafs-
127924Flyers-MapleLeafs-
128931MapleLeafs-BlueJackets-
129944MapleLeafs-Hurricanes-
131963BlueJackets-MapleLeafs-
134981MapleLeafs-Ducks-
135995MapleLeafs-Sharks-
1371003MapleLeafs-Kings-
1401020MapleLeafs-Bruins-
1411034Devils-MapleLeafs-
1441057GoldenKnights-MapleLeafs-
1471073MapleLeafs-Penguins-
1491093Stars-MapleLeafs-
1531113Flames-MapleLeafs-
1541123Jets-MapleLeafs-
1571142MapleLeafs-Jets-
1611167Blues-MapleLeafs-
1631181Penguins-MapleLeafs-
1661198Kings-MapleLeafs-
1681215MapleLeafs-Capitals-
1691218MapleLeafs-RedWings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711233MapleLeafs-Stars-
1731242MapleLeafs-Blackhawks-
1741255Senators-MapleLeafs-
1771269Canadiens-MapleLeafs-


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
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
Brett Murray
Brett Murray
AGE:27
SK:75
EN:75
DU:65
PH:55
PA:47
SC:64
DF:70
Cameron Hughes
Cameron Hughes
AGE:29
SK:81
EN:78
DU:68
PH:59
PA:60
SC:57
DF:62
Jeffrey Truchon-Viel
Jeffrey Truchon-Viel
AGE:28
SK:75
EN:77
DU:67
PH:47
PA:49
SC:46
DF:70
Rocco Grimaldi
Rocco Grimaldi
AGE:32
SK:84
EN:75
DU:65
PH:61
PA:70
SC:51
DF:54
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
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
Simon Holmstrom
Simon Holmstrom
AGE:24
SK:83
EN:83
DU:94
PH:70
PA:67
SC:72
DF:79
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
Nathan Bastian
Nathan Bastian
AGE:28
SK:75
EN:73
DU:83
PH:52
PA:48
SC:56
DF:67
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
Carson Soucy
Carson Soucy
AGE:31
SK:75
EN:79
DU:94
PH:53
PA:50
SC:57
DF:74
Darren Raddysh
Darren Raddysh
AGE:29
SK:83
EN:79
DU:93
PH:67
PA:75
SC:60
DF:66
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
Joseph Cecconi
Joseph Cecconi
AGE:28
SK:75
EN:78
DU:73
PH:35
PA:37
SC:33
DF:65
Roland McKeown
Roland McKeown
AGE:29
SK:76
EN:73
DU:68
PH:52
PA:47
SC:57
DF:68
Robbie Russo
Robbie Russo
AGE:32
SK:75
EN:76
DU:71
PH:46
PA:54
SC:37
DF:62
Ryan Ellis
Ryan Ellis
AGE:34
SK:88
EN:55
DU:50
PH:69
PA:55
SC:53
DF:65
Stian Solberg (R)
Stian Solberg
AGE:20
SK:84
EN:55
DU:50
PH:50
PA:45
SC:55
DF:60
Simon Lundmark
Simon Lundmark
AGE:25
SK:75
EN:70
DU:65
PH:35
PA:32
SC:37
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
Victor Brattstrom
Victor Brattstrom
AGE:28
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Elijah NeuenschwanderMapleLeafs2039139
Evan PassmoreMapleLeafs2039201
Jacob RombachMapleLeafs203965
Melvin StrahlMapleLeafs2037196
Will ReynoldsMapleLeafs2039108
Zeb LindgrenMapleLeafs2039170

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
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 Bobrovsky296117141190.8963.5116565227970935701230.66760
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
203915720321066551175100010342113821032003234-2246611818400172322448713717816511586182192334752026.67%801285.00%126454548.44%30661549.76%12524451.23%33422638711218689
Total Saison régulière165562876906046629050385638-60082734635402717354825982697-9982828241503329274224402941-501155850388742137803444200163517031397504081760162291683515173549921646619409360427470141919.00%7497154279.43%82277705493050.56%291265895249.41%131202656349.39%369882411740526133082293211247
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