Toronto Marlies
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure/Suspension

Centre de jeu
	Boston Bruins 15-2-0, 30pts	3	FINAL	5	Toronto Maple Leafs 11-5-0, 22pts

Team Stats
L1	Séquence	W3
9-1-0	Fiche domicile	9-3-0
6-1-0	Fiche visiteur	2-2-0
8-2-0	Derniers 10 matchs	6-4-0
4.71	Buts par match	4.75
2.88	Buts contre par match	3.75
19.64%	Pourcentage en avantage numérique	24.56%
87.50%	Pourcentage en désavantage numérique	77.14%

Carolina Hurricanes
8-7-0, 16pts

FINAL

Toronto Maple Leafs
11-5-0, 22pts

Team Stats
L1	Séquence	W3
5-1-0	Fiche domicile	9-3-0
3-6-0	Fiche visiteur	2-2-0
5-5-0	Derniers 10 matchs	6-4-0
3.53	Buts par match	4.75
3.40	Buts contre par match	3.75
16.67%	Pourcentage en avantage numérique	24.56%
73.08%	Pourcentage en désavantage numérique	77.14%

Toronto Maple Leafs
11-5-0, 22pts

Jour 36

Boston Bruins
15-2-0, 30pts

Statistiques d’équipe
W3	Séquence	L1
9-3-0	Fiche domicile	9-1-0
2-2-0	Fiche visiteur	6-1-0
6-4-0	10 derniers matchs	8-2-0
4.75	Buts par match	4.71
3.75	Buts contre par match	4.71
24.56%	Pourcentage en avantage numérique	19.64%
77.14%	Pourcentage en désavantage numérique	87.50%

Los Angeles Kings
7-8-1, 15pts

Jour 38

Toronto Maple Leafs
11-5-0, 22pts

Statistiques d’équipe
L1	Séquence	W3
4-2-1	Fiche domicile	9-3-0
3-6-0	Fiche visiteur	2-2-0
4-5-1	10 derniers matchs	6-4-0
3.44	Buts par match	4.75
3.63	Buts contre par match	4.75
16.07%	Pourcentage en avantage numérique	24.56%
80.77%	Pourcentage en désavantage numérique	77.14%

Toronto Maple Leafs
11-5-0, 22pts

Jour 40

Chicago Blackhawks
6-7-3, 15pts

Statistiques d’équipe
W3	Séquence	L1
9-3-0	Fiche domicile	1-3-2
2-2-0	Fiche visiteur	5-4-1
6-4-0	10 derniers matchs	5-4-1
4.75	Buts par match	2.31
3.75	Buts contre par match	2.31
24.56%	Pourcentage en avantage numérique	13.56%
77.14%	Pourcentage en désavantage numérique	75.56%

Meneurs d'équipe
	Buts Kevin Fiala 9	Passes David Pastrnak 19

	Points David Pastrnak 24	Plus/Moins Darren Raddysh 16

	Victoires Alexandar Georgiev 8	Pourcentage d’arrêts Alexandar Georgiev 0.907

Statistiques d’équipe
Buts pour 76 4.75 GFG	Tirs pour 580 36.25 Avg	Pourcentage en avantage numérique 24.6% 14 GF	Début de zone offensive 41.3%
Buts contre 60 3.75 GAA	Tirs contre 544 34.00 Avg	Pourcentage en désavantage numérique 77.1%% 16 GA	Début de la zone défensive 39.2%

Informations de l'équipe
	Directeur général	Alexandre Taillon
	Entraîneur	Markus Naslund
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine	David Pastrnak
	Assistant #1	Mikko Rantanen
	Assistant #2	Shea Theodore
Informations de l’aréna
	Nom	Scotiabank Arena
	Capacité	19,000
	Assistance	18,350
	Billets de saison	17,670
Informations de la formation
	Équipe Pro	26
	Équipe Mineure	16
	Limite contact	42 / 60
	Espoirs	10
Plafond salarial
	Cap Salarial de la Saison estimé	89,900,000$
	Plafond salarial disponible	5,600,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
Finance
	Revenu annuel à ce jour	21,515,754$
	Dépenses annuelles à ce jour	16,363,440$
	Revenus de la saison estimés	51,996,406$
	Dépenses de la saison estimées	73,511,953$
	Compte bancaire actuel	27,970,312$
	Compte bancaire projeté	17,713,709$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP	Âge	Contrat	Salaire
1	David Pastrnak (C)			X		100.00	72	46	72	87	79	90	91	96	44	92	94	70	93	85	81	0	50	85	0	29	5	11,250,000$
2	Mikko Rantanen (A)			X		99.00	69	43	68	81	86	91	90	93	80	89	90	75	88	84	76	0	50	83	0	29	5	12,000,000$
3	Tom Wilson			X		100.00	81	76	59	80	87	88	91	86	50	78	84	80	83	87	82	0	50	81	0	31	5	6,500,000$
4	Jamie Benn	X	X			100.00	77	62	69	77	81	86	94	86	89	81	79	76	81	91	93	0	50	80	0	36	1	1,000,000$
5	Kevin Fiala		X	X		99.00	71	42	72	81	81	87	90	90	51	81	87	69	86	85	75	0	50	80	0	29	4	7,875,000$
6	Martin Necas	X	X	X		99.00	71	41	85	82	81	88	88	90	57	86	83	69	85	79	69	0	50	80	0	26	1	6,500,000$
7	Artturi Lehkonen		X	X		100.00	66	43	77	86	73	90	86	84	50	76	81	73	84	82	72	0	50	78	0	30	2	4,500,000$
8	Phillip Danault	X				100.00	72	43	85	76	79	88	91	84	79	80	72	79	77	85	81	0	50	78	0	32	2	5,500,000$
9	Joel Armia		X	X		100.00	73	41	85	75	84	85	89	79	49	73	73	75	75	85	75	0	50	76	0	32	2	2,500,000$
10	Blake Lizotte	X	X	X		100.00	74	43	81	83	71	83	85	74	75	70	70	73	76	76	66	0	50	73	0	27	1	1,850,000$
11	Joel Kiviranta		X			100.00	80	43	89	81	74	83	85	74	46	66	72	75	75	73	63	0	50	73	0	29	1	1,250,000$
12	Luke Glendening	X				100.00	78	47	86	75	73	83	92	70	88	62	66	76	71	87	77	0	50	73	0	36	1	775,000$
13	Jakob Chychrun				X	99.00	71	43	69	84	84	88	88	88	40	79	84	78	85	82	72	0	50	80	0	27	5	9,000,000$
14	Dmitry Kulikov				X	100.00	77	42	72	75	80	88	94	75	40	72	66	81	72	91	81	0	50	77	0	35	3	1,150,000$
15	Shea Theodore (A)				X	99.00	61	41	84	75	80	90	87	85	40	84	71	76	77	84	74	0	50	77	0	30	5	7,425,000$
16	Darren Raddysh				X	99.00	67	42	89	75	78	84	80	81	40	78	70	75	75	63	53	0	50	74	0	29	1	975,000$
17	Andreas Englund				X	100.00	75	81	61	73	82	82	82	69	40	64	62	72	68	82	72	0	50	72	0	29	1	775,000$
18	Uvis Balinskis				X	100.00	71	49	81	73	77	82	72	73	40	69	66	72	70	55	50	0	50	70	0	29	1	850,000$
Rayé
1	Jesper Boqvist	X	X	X		100.00	81	40	92	79	78	83	84	74	63	70	71	72	74	73	63	0	50	73	0	27	2	1,500,000$
2	Kevin Rooney	X				100.00	77	41	87	73	76	79	84	68	70	63	64	72	68	80	70	0	50	70	0	32	1	775,000$
3	Oskar Back	X				100.00	67	40	87	71	78	75	71	67	71	69	60	70	66	54	50	0	50	67	0	25	2	825,000$
4	Scott Perunovich				X	100.00	59	42	82	76	71	82	72	68	40	69	62	70	69	62	53	0	50	69	0	27	1	775,000$
Équipe Mineure
1	Adam Beckman		X	X		100.00	58	42	71	64	64	65	63	64	44	61	60	53	63	52	50	0	50	60	0	24	1	775,000$
2	Konsta Helenius	X				100.00	59	41	66	62	61	58	57	62	55	61	57	58	61	50	50	0	50	59	0	19	2	975,000$
3	Dennis Gilbert				X	100.00	73	65	65	72	84	81	77	68	40	66	61	71	67	76	66	0	50	71	0	29	1	875,000$
4	Ethan Bear				X	100.00	64	43	74	72	68	76	72	68	40	65	63	70	68	78	57	0	50	68	0	28	1	775,000$
5	Dennis Cholowski				X	100.00	56	40	78	70	76	76	73	68	40	66	62	65	67	68	61	0	50	67	0	27	1	775,000$
6	Jack St. Ivany				X	100.00	65	44	70	70	77	77	63	64	40	59	58	69	64	56	50	0	50	66	0	26	2	775,000$
7	Nikolas Matinpalo				X	100.00	64	41	74	69	78	76	66	66	40	60	60	67	65	56	50	0	50	66	0	27	2	875,000$
8	David Jiricek				X	100.00	65	42	74	68	74	67	62	63	40	60	56	67	62	57	50	0	50	64	0	21	1	918,333$
9	Max Wanner				X	100.00	63	43	65	67	64	62	59	60	40	53	54	66	60	50	50	0	50	61	0	22	1	828,333$
10	Ian Moore				X	100.00	61	40	62	62	63	59	57	56	40	54	54	61	57	51	50	0	50	59	0	23	1	925,000$
11	Marshall Warren				X	100.00	56	42	63	62	61	62	61	60	40	58	56	59	59	51	50	0	50	59	0	24	1	825,000$
12	Jeff Malott		X			100.00	64	52	59	65	67	70	68	66	45	64	62	64	64	57	51	0	50	64	0	29	1	775,000$
13	Graeme Clarke			X		100.00	57	43	68	68	61	65	64	66	44	63	61	56	65	52	50	0	50	62	0	24	1	775,000$
14	Justin Sourdif			X		100.00	57	46	63	69	59	64	62	64	43	62	58	58	64	51	50	0	50	61	0	23	2	825,000$
15	Cross Hanas		X			100.00	58	42	69	65	61	64	62	60	42	54	54	54	60	51	50	0	50	58	0	23	0	0$

	MOYENNE D’ÉQUIPE					99.84	68	46	74	74	74	78	77	73	51	69	68	69	71	70	63	0	50	71

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP	Âge	Contrat	Salaire
1	Frederik Andersen	96.00	72	82	80	92	79	81	82	83	82	77	77	87	80	0	50	75	0	36	1	2,750,000$
2	Pheonix Copley	100.00	73	75	77	72	74	74	74	72	74	75	71	83	68	0	50	68	0	33	1	775,000$
Rayé
1	Alexandar Georgiev	100.00	88	91	93	74	93	86	82	81	84	91	86	79	72	0	50	78	0	29	1	825,000$
2	Pavel Cajan	100.00	67	56	56	62	62	62	64	60	64	61	55	50	50	0	50	57	0	23	0	0$
Équipe Mineure
1	Keith Petruzzelli	100.00	67	59	57	65	63	61	62	58	62	63	52	54	50	0	50	57	0	26	0	0$

	MOYENNE D’ÉQUIPE	99.20	73	73	73	73	74	73	73	71	73	73	68	71	64	0	50	67

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Markus Naslund	1	1	1	1	1	1	1	SWE	52	5	1$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FL	S1	S2	S3
1	David Pastrnak	Toronto Maple Leafs	RW	15	5	19	24	14	6	0	18	27	66	16	42	7.58%	2	263	17.56	0	2	2	2	14	0	0	0	0	17	0	2	50.85%	59	0	0	1.82	0	3	0	1
2	Martin Necas	Toronto Maple Leafs	C/LW/RW	16	8	14	22	12	4	0	17	24	40	13	30	20.00%	4	322	20.18	2	2	4	10	49	1	0	1	1	53	3	0	45.97%	385	0	0	1.36	0	2	0	2
3	Kevin Fiala	Toronto Maple Leafs	LW/RW	16	9	11	20	12	4	0	22	24	41	14	34	21.95%	3	304	19.04	0	3	3	10	49	0	0	0	0	33	0	0	43.75%	80	2	0	1.31	0	0	1	1
4	Dmitry Kulikov	Toronto Maple Leafs	D	16	3	14	17	16	26	0	50	12	14	5	14	21.43%	23	332	20.78	1	2	3	8	48	0	0	0	0	42	1	0	0%	0	0	0	1.02	0	1	2	0
5	Mikko Rantanen	Toronto Maple Leafs	RW	16	7	9	16	-1	8	0	16	28	66	17	43	10.61%	2	334	20.92	6	3	9	15	47	0	0	0	1	53	2	0	47.83%	23	0	0	0.96	0	0	0	0
6	Jakob Chychrun	Toronto Maple Leafs	D	16	3	11	14	-2	24	0	43	18	40	13	18	7.50%	30	390	24.40	0	3	3	18	49	0	2	2	0	48	0	1	0%	0	1	0	0.72	0	0	1	0
7	Darren Raddysh	Toronto Maple Leafs	D	16	4	9	13	16	4	0	11	12	28	3	10	14.29%	23	343	21.44	1	2	3	11	48	0	0	0	0	52	1	0	0%	0	0	0	0.76	0	0	1	2
8	Jamie Benn	Toronto Maple Leafs	C/LW	16	5	8	13	-1	21	5	32	37	36	14	33	13.89%	0	276	17.26	0	3	3	8	48	0	0	0	0	0	2	0	58.59%	384	0	1	0.94	1	1	0	0
9	Tom Wilson	Toronto Maple Leafs	RW	16	8	5	13	5	14	0	34	27	41	15	39	19.51%	4	274	17.18	1	1	2	6	34	1	0	1	3	50	1	0	43.40%	106	0	0	0.95	0	2	1	0
10	Shea Theodore	Toronto Maple Leafs	D	16	5	7	12	-2	4	0	11	14	23	7	14	21.74%	32	396	24.80	3	2	5	12	49	0	0	0	0	54	0	1	0%	0	0	0	0.60	0	0	0	3
11	Artturi Lehkonen	Toronto Maple Leafs	LW/RW	16	6	5	11	0	2	0	11	12	49	10	36	12.24%	3	279	17.44	0	4	4	11	48	0	0	0	0	1	0	0	33.33%	15	0	0	0.79	0	0	0	0
12	Phillip Danault	Toronto Maple Leafs	C	16	3	7	10	3	0	0	5	23	36	8	27	8.33%	1	188	11.77	0	0	0	0	0	0	0	0	0	0	1	0	54.00%	250	0	0	1.06	0	1	0	1
13	Blake Lizotte	Toronto Maple Leafs	C/LW/RW	16	3	3	6	2	4	0	8	15	20	3	7	15.00%	0	107	6.75	0	0	0	0	0	0	0	0	0	1	0	0	53.17%	126	0	0	1.11	0	0	0	0
14	Joel Armia	Toronto Maple Leafs	LW/RW	16	2	4	6	3	4	0	7	8	33	8	27	6.06%	3	201	12.60	0	0	0	0	0	0	0	0	0	13	0	0	31.03%	29	0	0	0.60	0	0	0	0
15	Uvis Balinskis	Toronto Maple Leafs	D	16	1	4	5	4	0	0	5	5	7	5	10	14.29%	13	235	14.74	0	0	0	0	0	0	0	0	0	21	0	0	0%	0	0	0	0.42	0	0	0	0
16	Luke Glendening	Toronto Maple Leafs	C	11	1	3	4	0	4	0	7	7	17	2	0	5.88%	1	87	7.96	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	9	0	0	0.91	0	0	0	0
17	Andreas Englund	Toronto Maple Leafs	D	16	1	1	2	4	18	0	22	2	7	3	4	14.29%	12	220	13.80	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	0	0	0.18	0	0	0	0
18	Jesper Boqvist	Toronto Maple Leafs	C/LW/RW	6	1	1	2	2	0	0	3	1	2	1	2	50.00%	1	33	5.55	0	0	0	0	0	0	0	0	0	0	0	0	0%	4	0	0	1.20	0	0	1	0
19	Joel Kiviranta	Toronto Maple Leafs	LW	16	1	1	2	1	2	0	6	5	14	10	11	7.14%	0	84	5.30	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	6	0	0	0.47	0	0	0	0
Statistiques d’équipe totales ou en moyenne				288	76	136	212	88	149	5	328	301	580	167	401	13.10%	157	4678	16.24	14	27	41	111	487	2	2	4	5	450	11	4	50.68%	1476	3	1	0.91	1	10	7	10

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	PCT	GAA	MP	PIM	GA	SA	A	PS %	ST	BG	S1
1	Alexandar Georgiev	Toronto Maple Leafs	11	8	3	0.907	3.38	621	2	35	378	2	0	11	0	1
2	Frederik Andersen	Toronto Maple Leafs	6	3	2	0.849	4.45	337	0	25	166	0	0	5	11	0
Statistiques d’équipe totales ou en moyenne			17	11	5	0.890	3.75	959	2	60	544	2		16	11	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Alexandar Georgiev	Toronto Maple Leafs	G	29	1996-02-10	BGR	No	178 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-09-15	False	False	Pro & Farm	825,000$	674,609$	825,000$	674,609$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Andreas Englund	Toronto Maple Leafs	D	29	1996-01-21	SWE	No	200 Lbs	6 ft4	No	No	Assign Manually	No	Yes	1	2025-06-29	False	False	Pro & Farm	775,000$	633,724$	775,000$	633,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Artturi Lehkonen	Toronto Maple Leafs	LW/RW	30	1995-07-04	FIN	No	179 Lbs	5 ft11	No	No	Assign Manually	No	No	2	2025-05-26	False	False	Pro & Farm	4,500,000$	3,679,688$	4,500,000$	3,679,688$	No	4,500,000$	-	-	-	-	-	-	-	-	4,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Blake Lizotte	Toronto Maple Leafs	C/LW/RW	27	1997-12-13	USA	No	173 Lbs	5 ft9	No	No	Assign Manually	No	Yes	1	2025-05-26	False	False	Pro & Farm	1,850,000$	1,512,760$	1,850,000$	1,512,760$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Darren Raddysh	Toronto Maple Leafs	D	29	1996-02-28	CAN	No	202 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	975,000$	797,266$	975,000$	797,266$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
David Pastrnak	Toronto Maple Leafs	RW	29	1996-05-25	CZE	No	200 Lbs	6 ft0	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	11,250,000$	9,199,219$	11,250,000$	9,199,219$	No	11,250,000$	11,250,000$	11,250,000$	11,250,000$	-	-	-	-	-	11,250,000$	11,250,000$	11,250,000$	11,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Dmitry Kulikov	Toronto Maple Leafs	D	35	1990-10-29	RUS	No	212 Lbs	6 ft1	No	No	Assign Manually	No	No	3	2025-05-26	False	False	Pro & Farm	1,150,000$	940,365$	1,150,000$	940,365$	No	1,150,000$	1,150,000$	-	-	-	-	-	-	-	1,150,000$	1,150,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Frederik Andersen	Toronto Maple Leafs	G	36	1989-10-02	DNK	No	229 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2025-06-29	False	False	Pro & Farm	2,750,000$	2,248,698$	2,750,000$	2,248,698$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jakob Chychrun	Toronto Maple Leafs	D	27	1998-03-31	USA	No	216 Lbs	6 ft2	No	No	Assign Manually	No	No	5	2025-06-29	False	False	Pro & Farm	9,000,000$	7,359,375$	9,000,000$	7,359,375$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	9,000,000$	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Jamie Benn	Toronto Maple Leafs	C/LW	36	1989-07-18	CAN	No	206 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-06-29	False	False	Pro & Farm	1,000,000$	817,708$	1,000,000$	817,708$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jesper Boqvist	Toronto Maple Leafs	C/LW/RW	27	1998-10-30	SWE	No	190 Lbs	6 ft1	No	No	Assign Manually	No	Yes	2	2025-06-29	False	False	Pro & Farm	1,500,000$	1,226,562$	1,500,000$	1,226,562$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Joel Armia	Toronto Maple Leafs	LW/RW	32	1993-05-31	FIN	No	216 Lbs	6 ft3	No	No	Assign Manually	No	No	2	2025-07-02	False	False	Pro & Farm	2,500,000$	2,044,271$	2,500,000$	2,044,271$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Joel Kiviranta	Toronto Maple Leafs	LW	29	1996-03-23	FIN	No	185 Lbs	5 ft11	No	No	Assign Manually	No	Yes	1	2025-08-19	False	False	Pro & Farm	1,250,000$	1,022,135$	1,250,000$	1,022,135$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Kevin Fiala	Toronto Maple Leafs	LW/RW	29	1996-07-22	CHE	No	205 Lbs	6 ft0	No	No	Assign Manually	No	No	4	2025-05-26	False	False	Pro & Farm	7,875,000$	6,439,453$	7,875,000$	6,439,453$	No	7,875,000$	7,875,000$	7,875,000$	-	-	-	-	-	-	7,875,000$	7,875,000$	7,875,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Kevin Rooney	Toronto Maple Leafs	C	32	1993-05-21	USA	No	190 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2025-10-09	False	False	Pro & Farm	775,000$	633,724$	775,000$	633,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Luke Glendening	Toronto Maple Leafs	C	36	1989-04-28	USA	No	190 Lbs	5 ft11	No	No	Assign Manually	No	Yes	1	2025-10-09	False	False	Pro & Farm	775,000$	633,724$	775,000$	633,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Martin Necas	Toronto Maple Leafs	C/LW/RW	26	1999-01-15	CZE	No	195 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	6,500,000$	5,315,104$	6,500,000$	5,315,104$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Mikko Rantanen	Toronto Maple Leafs	RW	29	1996-10-29	FIN	No	215 Lbs	6 ft4	No	No	Assign Manually	No	No	5	2025-06-29	False	False	Pro & Farm	12,000,000$	9,812,500$	12,000,000$	9,812,500$	No	12,000,000$	12,000,000$	12,000,000$	12,000,000$	-	-	-	-	-	12,000,000$	12,000,000$	12,000,000$	12,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Oskar Back	Toronto Maple Leafs	C	25	2000-03-12	SWE	No	202 Lbs	6 ft4	No	No	Assign Manually	No	No	2	2025-06-29	False	False	Pro & Farm	825,000$	674,609$	825,000$	674,609$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Pavel Cajan	Toronto Maple Leafs	G	23	2002-10-13	CZE	No	176 Lbs	6 ft2	No	No	Assign Manually	No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Pheonix Copley	Toronto Maple Leafs	G	33	1992-01-18	USA	No	198 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2025-06-29	False	False	Pro & Farm	775,000$	633,724$	775,000$	633,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Phillip Danault	Toronto Maple Leafs	C	32	1993-02-24	CAN	No	200 Lbs	6 ft1	No	No	Assign Manually	No	No	2	2025-05-26	False	False	Pro & Farm	5,500,000$	4,497,396$	5,500,000$	4,497,396$	No	5,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Scott Perunovich	Toronto Maple Leafs	D	27	1998-08-18	USA	No	175 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2025-07-02	False	False	Pro & Farm	775,000$	633,724$	775,000$	633,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Shea Theodore	Toronto Maple Leafs	D	30	1995-08-03	CAN	No	197 Lbs	6 ft2	No	No	Assign Manually	No	No	5	2025-06-29	False	False	Pro & Farm	7,425,000$	6,071,484$	7,425,000$	6,071,484$	No	7,425,000$	7,425,000$	7,425,000$	7,425,000$	-	-	-	-	-	7,425,000$	7,425,000$	7,425,000$	7,425,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Tom Wilson	Toronto Maple Leafs	RW	31	1994-03-29	CAN	No	225 Lbs	6 ft4	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	6,500,000$	5,315,104$	6,500,000$	5,315,104$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Uvis Balinskis	Toronto Maple Leafs	D	29	1996-08-01	LVA	No	196 Lbs	6 ft0	No	No	Assign Manually	No	Yes	1	2025-05-26	False	False	Pro & Farm	850,000$	695,052$	850,000$	695,052$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
26	29.88	198 Lbs	6 ft1	2.12	3,457,692$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
89,900,000$	70,025,000$	55,200,000$	54,050,000$	46,175,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kevin Fiala	Martin Necas	David Pastrnak	30	1	2	2
2	Artturi Lehkonen	Jamie Benn	Mikko Rantanen	30	1	2	2
3	Joel Armia	Phillip Danault	Tom Wilson	25	1	2	2
4	Luke Glendening	Blake Lizotte	Joel Kiviranta	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jakob Chychrun	Shea Theodore	30	1	2	2
2	Dmitry Kulikov	Darren Raddysh	30	1	2	2
3	Andreas Englund	Uvis Balinskis	25	1	2	2
4	Jakob Chychrun	Shea Theodore	15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kevin Fiala	Martin Necas	Tom Wilson	50	1	2	2
2	Artturi Lehkonen	Jamie Benn	Mikko Rantanen	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jakob Chychrun	Shea Theodore	50	1	2	2
2	Dmitry Kulikov	Darren Raddysh	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Fiala	Mikko Rantanen	50	1	2	2
2	Tom Wilson	Martin Necas	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jakob Chychrun	Shea Theodore	50	1	2	2
2	Dmitry Kulikov	Darren Raddysh	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Martin Necas	50	1	2	2	Jakob Chychrun	Shea Theodore	50	1	2	2
2	Mikko Rantanen	50	1	2	2	Dmitry Kulikov	Darren Raddysh	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Fiala	Mikko Rantanen	50	1	2	2
2	Tom Wilson	Martin Necas	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jakob Chychrun	Shea Theodore	50	1	2	2
2	Dmitry Kulikov	Darren Raddysh	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kevin Fiala	Martin Necas	David Pastrnak	Jakob Chychrun	Shea Theodore

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kevin Fiala	Martin Necas	David Pastrnak	Jakob Chychrun	Shea Theodore

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Joel Kiviranta, Phillip Danault, Joel Armia	Joel Kiviranta, Phillip Danault	Joel Armia

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Andreas Englund, Uvis Balinskis, Dmitry Kulikov	Andreas Englund	Uvis Balinskis, Dmitry Kulikov

Tirs de pénalité
David Pastrnak, Mikko Rantanen, Tom Wilson, Martin Necas, Kevin Fiala

Gardien
#1 : Frederik Andersen, #2 : Pheonix Copley

Lignes d’attaque personnalisées en prolongation
David Pastrnak, Mikko Rantanen, Tom Wilson, Martin Necas, Kevin Fiala, Jamie Benn, Artturi Lehkonen, Phillip Danault, Joel Armia, Blake Lizotte

Lignes de défense personnalisées en prolongation
Jakob Chychrun, Shea Theodore, Dmitry Kulikov, Darren Raddysh, Andreas Englund

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	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
1	Boston Bruins	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	1	4	0	0	37	12	20	5	0	32	13	8	14	3	0	0.00%	4	1	75.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	20	13	26	7	12	6
2	Buffalo Sabres	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	17	27	0	0	1	5	4	0	71	17	26	28	0	62	18	24	58	6	1	16.67%	11	2	81.82%	1	327	610	53.61%	275	579	47.50%	146	287	50.87%	44	30	50	14	24	12
3	Calgary Flames	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	2	2	0	0	33	13	13	7	0	33	6	8	18	4	2	50.00%	4	2	50.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	25	18	22	6	12	6
4	Carolina Hurricanes	1	1	0	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	13	21	0	0	3	1	4	0	34	9	8	17	0	40	15	14	22	2	1	50.00%	6	2	66.67%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	24	17	21	6	13	6
5	Columbus Blue Jackets	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	0	1	2	0	44	7	18	19	0	46	9	10	18	4	1	25.00%	5	1	80.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	22	16	25	6	11	4
6	Detroit Red Wings	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	15	24	0	0	3	4	2	0	65	18	23	24	0	72	22	18	38	4	2	50.00%	9	1	88.89%	1	327	610	53.61%	275	579	47.50%	146	287	50.87%	45	32	51	13	22	10
7	Montreal Canadiens	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	1	2	0	29	9	5	15	0	51	10	10	11	4	2	50.00%	5	0	100.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	21	14	27	7	11	5
8	Nashville Predators	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	0	3	0	41	16	12	13	0	32	18	10	31	5	1	20.00%	5	1	80.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	21	13	25	7	13	6
9	New Jersey Devils	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	1	2	2	0	43	16	12	15	0	36	13	8	22	1	0	0.00%	4	2	50.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	24	17	23	6	11	6
10	New York Rangers	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	14	22	0	0	2	2	4	0	51	10	25	16	0	35	7	8	22	5	1	20.00%	4	1	75.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	24	17	23	7	12	6
11	Philadelphia Flyers	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	1	1	0	34	13	12	9	0	23	9	12	18	5	0	0.00%	6	1	83.33%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	25	17	21	7	12	6
12	Pittsburgh Penguins	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	28	8	8	12	0	20	7	9	19	5	1	20.00%	2	0	100.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	24	17	23	6	12	6
13	Seattle Kraken	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	0	1	0	20	5	7	8	0	28	4	8	16	4	0	0.00%	4	2	50.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	20	13	26	7	13	6
14	Utah Mammoth	1	1	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	9	4	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	17	26	0	0	2	4	3	0	50	12	24	14	0	34	6	4	21	5	2	40.00%	1	0	100.00%	0	327	610	53.61%	275	579	47.50%	146	287	50.87%	27	20	19	6	12	6
	Total	16	11	5	0	0	0	0	0	76	60	16	12	9	3	0	0	0	0	0	62	46	16	4	2	2	0	0	0	0	0	14	14	0	22	0.688	76	136	212	0	0	19	28	29	0	580	165	213	202	0	544	157	151	328	57	14	24.56%	70	16	77.14%	2	327	610	53.61%	275	579	47.50%	146	287	50.87%	372	260	390	112	196	97
	_Since Last GM Reset	16	11	5	0	0	0	0	0	76	60	16	12	9	3	0	0	0	0	0	62	46	16	4	2	2	0	0	0	0	0	14	14	0	22	0.688	76	136	212	0	0	19	28	29	0	580	165	213	202	0	544	157	151	328	57	14	24.56%	70	16	77.14%	2	327	610	53.61%	275	579	47.50%	146	287	50.87%	372	260	390	112	196	97
	_Vs Conference	12	9	3	0	0	0	0	0	56	42	14	8	7	1	0	0	0	0	0	42	28	14	4	2	2	0	0	0	0	0	14	14	0	18	0.750	56	100	156	0	0	12	22	22	0	436	119	157	160	0	417	123	121	242	39	9	23.08%	56	11	80.36%	2	327	610	53.61%	275	579	47.50%	146	287	50.87%	278	194	296	84	145	71
	_Vs Division	6	6	0	0	0	0	0	0	28	16	12	4	4	0	0	0	0	0	0	19	11	8	2	2	0	0	0	0	0	0	9	5	4	12	1.000	28	50	78	0	0	6	14	8	0	202	56	74	72	0	217	63	60	121	17	5	29.41%	29	4	86.21%	2	327	610	53.61%	275	579	47.50%	146	287	50.87%	131	90	156	42	71	34

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
16	22	W3	76	136	212	580	544	157	151	328	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	11	5	0	0	0	0	76	60

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	9	3	0	0	0	0	62	46

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	14	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	4	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
57	14	24.56%	70	16	77.14%	2

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
165	213	202	0	19	28	29	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
327	610	53.61%	275	579	47.50%	146	287	50.87%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
372	260	390	112	196	97

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	Lien
2	4	Montreal Canadiens	3	Toronto Maple Leafs	4	W	Sommaire du match
5	25	Toronto Maple Leafs	4	Detroit Red Wings	2	W	Sommaire du match
7	43	Detroit Red Wings	2	Toronto Maple Leafs	5	W	Sommaire du match
8	49	Nashville Predators	3	Toronto Maple Leafs	5	W	Sommaire du match
10	61	New York Rangers	2	Toronto Maple Leafs	8	W	Sommaire du match
12	79	Seattle Kraken	6	Toronto Maple Leafs	2	L	Sommaire du match
15	98	New Jersey Devils	3	Toronto Maple Leafs	5	W	Sommaire du match
18	123	Toronto Maple Leafs	5	Buffalo Sabres	3	W	Sommaire du match
19	132	Buffalo Sabres	3	Toronto Maple Leafs	5	W	Sommaire du match
22	151	Calgary Flames	5	Toronto Maple Leafs	4	L	Sommaire du match
23	166	Toronto Maple Leafs	3	Columbus Blue Jackets	5	L	Sommaire du match
26	188	Toronto Maple Leafs	2	Philadelphia Flyers	4	L	Sommaire du match
28	199	Pittsburgh Penguins	5	Toronto Maple Leafs	2	L	Sommaire du match
30	213	Utah Mammoth	4	Toronto Maple Leafs	9	W	Sommaire du match
33	234	Boston Bruins	3	Toronto Maple Leafs	5	W	Sommaire du match
34	246	Carolina Hurricanes	7	Toronto Maple Leafs	8	W	Sommaire du match
36	256	Toronto Maple Leafs	-	Boston Bruins	-
38	269	Los Angeles Kings	-	Toronto Maple Leafs	-
40	291	Toronto Maple Leafs	-	Chicago Blackhawks	-
43	307	St. Louis Blues	-	Toronto Maple Leafs	-
45	319	Columbus Blue Jackets	-	Toronto Maple Leafs	-
47	337	Toronto Maple Leafs	-	Montreal Canadiens	-
51	369	Toronto Maple Leafs	-	Columbus Blue Jackets	-
53	386	Toronto Maple Leafs	-	Washington Capitals	-
54	396	Toronto Maple Leafs	-	Pittsburgh Penguins	-
57	413	Toronto Maple Leafs	-	Florida Panthers	-
59	431	Toronto Maple Leafs	-	Carolina Hurricanes	-
61	444	Montreal Canadiens	-	Toronto Maple Leafs	-
63	461	Tampa Bay Lightning	-	Toronto Maple Leafs	-
66	480	San Jose Sharks	-	Toronto Maple Leafs	-
68	499	Edmonton Oilers	-	Toronto Maple Leafs	-
71	520	Chicago Blackhawks	-	Toronto Maple Leafs	-
73	539	Toronto Maple Leafs	-	Washington Capitals	-
75	558	Toronto Maple Leafs	-	Nashville Predators	-
76	568	Toronto Maple Leafs	-	Dallas Stars	-
78	575	Pittsburgh Penguins	-	Toronto Maple Leafs	-
82	590	Ottawa Senators	-	Toronto Maple Leafs	-
83	601	Toronto Maple Leafs	-	Detroit Red Wings	-
85	617	New Jersey Devils	-	Toronto Maple Leafs	-
87	634	Winnipeg Jets	-	Toronto Maple Leafs	-
89	651	Toronto Maple Leafs	-	New York Islanders	-
92	672	Florida Panthers	-	Toronto Maple Leafs	-
94	686	Toronto Maple Leafs	-	Philadelphia Flyers	-
96	702	Vancouver Canucks	-	Toronto Maple Leafs	-
98	723	Toronto Maple Leafs	-	Colorado Avalanche	-
99	733	Toronto Maple Leafs	-	Utah Mammoth	-
101	748	Toronto Maple Leafs	-	Vegas Golden Knights	-
103	762	Toronto Maple Leafs	-	Winnipeg Jets	-
105	774	Minnesota Wild	-	Toronto Maple Leafs	-
107	788	Detroit Red Wings	-	Toronto Maple Leafs	-
109	802	Vegas Golden Knights	-	Toronto Maple Leafs	-
111	819	Colorado Avalanche	-	Toronto Maple Leafs	-
113	831	Buffalo Sabres	-	Toronto Maple Leafs	-
115	857	Toronto Maple Leafs	-	Seattle Kraken	-
117	869	Toronto Maple Leafs	-	Vancouver Canucks	-
119	885	Toronto Maple Leafs	-	Calgary Flames	-
120	891	Toronto Maple Leafs	-	Edmonton Oilers	-
142	912	Toronto Maple Leafs	-	Tampa Bay Lightning	-
143	921	Toronto Maple Leafs	-	Florida Panthers	-
145	939	Ottawa Senators	-	Toronto Maple Leafs	-
147	954	Philadelphia Flyers	-	Toronto Maple Leafs	-
149	971	Toronto Maple Leafs	-	New Jersey Devils	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150	975	Toronto Maple Leafs	-	New York Rangers	-
152	994	Tampa Bay Lightning	-	Toronto Maple Leafs	-
155	1014	Toronto Maple Leafs	-	Montreal Canadiens	-
157	1029	Anaheim Ducks	-	Toronto Maple Leafs	-
159	1047	Toronto Maple Leafs	-	Buffalo Sabres	-
160	1060	Toronto Maple Leafs	-	Minnesota Wild	-
162	1068	New York Islanders	-	Toronto Maple Leafs	-
165	1094	Carolina Hurricanes	-	Toronto Maple Leafs	-
166	1106	Toronto Maple Leafs	-	Ottawa Senators	-
169	1120	Toronto Maple Leafs	-	Boston Bruins	-
170	1136	New York Rangers	-	Toronto Maple Leafs	-
173	1160	Toronto Maple Leafs	-	St. Louis Blues	-
175	1176	Toronto Maple Leafs	-	Anaheim Ducks	-
178	1202	Toronto Maple Leafs	-	San Jose Sharks	-
180	1217	Toronto Maple Leafs	-	Los Angeles Kings	-
184	1245	Washington Capitals	-	Toronto Maple Leafs	-
185	1252	Toronto Maple Leafs	-	New York Islanders	-
187	1270	Florida Panthers	-	Toronto Maple Leafs	-
189	1285	Dallas Stars	-	Toronto Maple Leafs	-
191	1304	Toronto Maple Leafs	-	Ottawa Senators	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	2000
Prix des billets	90	60	45	30	190
Assistance	69,263	58,031	23,144	46,629	23,130
Attendance PCT	96.20%	96.72%	96.43%	97.14%	96.38%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
29	18350 - 96.58%	1,792,980$	21,515,754$	19000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
16,363,440$	89,900,000$	89,900,000$	1$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
89,900,000$	16,363,440$	0$	25	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
51,996,406$	157	468,229$	73,511,953$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
74,450,289$	27,970,312$	17,713,709$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
89,900,000$	5,600,000$	95,500,000$	19,300,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jamie Benn	AGE:36	PO:0	OV:80
Kevin Fiala	AGE:29	PO:0	OV:80
Martin Necas	AGE:26	PO:0	OV:80
Artturi Lehkonen	AGE:30	PO:0	OV:78
Joel Armia	AGE:32	PO:0	OV:76
Blake Lizotte	AGE:27	PO:0	OV:73
Jesper Boqvist	AGE:27	PO:0	OV:73
Joel Kiviranta	AGE:29	PO:0	OV:73
Jeff Malott	AGE:29	PO:0	OV:64
Adam Beckman	AGE:24	PO:0	OV:60
Cross Hanas	AGE:23	PO:0	OV:58

Jamie Benn	AGE:36	PO:0	OV:80
Martin Necas	AGE:26	PO:0	OV:80
Phillip Danault	AGE:32	PO:0	OV:78
Blake Lizotte	AGE:27	PO:0	OV:73
Jesper Boqvist	AGE:27	PO:0	OV:73
Luke Glendening	AGE:36	PO:0	OV:73
Kevin Rooney	AGE:32	PO:0	OV:70
Oskar Back	AGE:25	PO:0	OV:67
Konsta Helenius	AGE:19	PO:0	OV:59

David Pastrnak	AGE:29	PO:0	OV:85
Mikko Rantanen	AGE:29	PO:0	OV:83
Tom Wilson	AGE:31	PO:0	OV:81
Kevin Fiala	AGE:29	PO:0	OV:80
Martin Necas	AGE:26	PO:0	OV:80
Artturi Lehkonen	AGE:30	PO:0	OV:78
Joel Armia	AGE:32	PO:0	OV:76
Blake Lizotte	AGE:27	PO:0	OV:73
Jesper Boqvist	AGE:27	PO:0	OV:73
Graeme Clarke	AGE:24	PO:0	OV:62
Justin Sourdif	AGE:23	PO:0	OV:61
Adam Beckman	AGE:24	PO:0	OV:60

Défense #1

Défense #2

Gardien

Jakob Chychrun	AGE:27	PO:0	OV:80
Dmitry Kulikov	AGE:35	PO:0	OV:77
Shea Theodore	AGE:30	PO:0	OV:77
Darren Raddysh	AGE:29	PO:0	OV:74
Andreas Englund	AGE:29	PO:0	OV:72
Dennis Gilbert	AGE:29	PO:0	OV:71
Uvis Balinskis	AGE:29	PO:0	OV:70
Scott Perunovich	AGE:27	PO:0	OV:69

Ethan Bear	AGE:28	PO:0	OV:68
Dennis Cholowski	AGE:27	PO:0	OV:67
Jack St. Ivany	AGE:26	PO:0	OV:66
Nikolas Matinpalo	AGE:27	PO:0	OV:66
David Jiricek	AGE:21	PO:0	OV:64
Max Wanner	AGE:22	PO:0	OV:61
Ian Moore	AGE:23	PO:0	OV:59
Marshall Warren	AGE:24	PO:0	OV:59

Alexandar Georgiev	AGE:29	PO:0	OV:78
Frederik Andersen	AGE:36	PO:0	OV:75
Pheonix Copley	AGE:33	PO:0	OV:68
Keith Petruzzelli	AGE:26	PO:0	OV:57
Pavel Cajan	AGE:23	PO:0	OV:57

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Anton Frondell	Toronto Maple Leafs	2025	16	Fantasy Draft	Lien
Aram Minnetian	Toronto Maple Leafs	2025	272	Fantasy Draft	Lien
Charlie Cerrato	Toronto Maple Leafs	2025	144	Fantasy Draft	Lien
Danny Nelson	Toronto Maple Leafs	2025	113	Fantasy Draft	Lien
Gustav Hillstrom	Toronto Maple Leafs	2025	177	Fantasy Draft	Lien
Isaak Howard	Toronto Maple Leafs	2025	49	Fantasy Draft	Lien
Nathan Quinn	Toronto Maple Leafs	2025	305	Fantasy Draft	Lien
Ryker Lee	Toronto Maple Leafs	2025	80	Fantasy Draft	Lien
Sean Barnhill	Toronto Maple Leafs	2025	208	Fantasy Draft	Lien
William Whitelaw	Toronto Maple Leafs	2025	241	Fantasy Draft	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Toronto Maple Leafs Historique de transactions

[2025-11-05 08:10:05] New Record for Team's Most Points (26) in 1 Game for Toronto Maple Leafs!
[2025-11-05 08:10:05] New Record for Team's Most Assists (17) in 1 Game for Toronto Maple Leafs!
[2025-11-05 08:10:05] New Record for Team's Most Goals (9) in 1 Game for Toronto Maple Leafs!
[2025-10-24 08:05:52] New Record for Team's Most Penalties Minutes (16) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Shots (51) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Points (22) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Assists (14) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Goals (8) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Points (22) in 1 Game for Toronto Maple Leafs!
[2025-10-16 08:09:09] New Record for Team's Most Goals (8) in 1 Game for Toronto Maple Leafs!
[2025-10-14 08:27:24] New Record for Team's Most Hits (31) in 1 Game for Toronto Maple Leafs!
[2025-10-14 08:27:24] New Record for Team's Most Shots Blocked (18) in 1 Game for Toronto Maple Leafs!
[2025-10-14 08:27:24] New Record for Team's Most Shots (41) in 1 Game for Toronto Maple Leafs!
[2025-10-14 08:27:24] New Record for Team's Most Points (14) in 1 Game for Toronto Maple Leafs!
[2025-10-14 08:27:24] New Record for Team's Most Assists (9) in 1 Game for Toronto Maple Leafs!
[2025-10-13 09:30:47] New Record for Team's Most Goals (5) in 1 Game for Toronto Maple Leafs!
[2025-10-10 08:04:49] New Record for Team's Most Hits (24) in 1 Game for Toronto Maple Leafs!
[2025-10-10 08:04:49] New Record for Team's Most Penalties Minutes (12) in 1 Game for Toronto Maple Leafs!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (12) in 1 Game for Toronto Maple Leafs!
[2025-10-10 08:04:49] New Record for Team's Most Shots (33) in 1 Game for Toronto Maple Leafs!
[2025-10-09 19:02:40] Shea Theodore has been selected as assistant for Toronto Maple Leafs.
[2025-10-09 19:02:40] Unknown Player is no longer as assistant for Toronto Maple Leafs.
[2025-10-09 19:02:40] Mikko Rantanen has been selected as assistant for Toronto Maple Leafs.
[2025-10-09 19:02:40] Unknown Player is no longer as assistant for Toronto Maple Leafs.
[2025-10-09 19:02:40] David Pastrnak has been selected as captain for Toronto Maple Leafs.
[2025-10-09 19:02:40] Unknown Player is no longer captain for Toronto Maple Leafs.
[2025-10-09 18:58:52] Luke Glendening was added to Toronto Maple Leafs.
[2025-10-09 18:57:29] Kevin Rooney was added to Toronto Maple Leafs.
[2025-10-08 08:13:55] New Record for Team's Most Hits (11) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Penalties Minutes (10) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Shots Blocked (10) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Shots (29) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Points (12) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Assists (8) in 1 Game for Toronto Maple Leafs!
[2025-10-08 08:13:55] New Record for Team's Most Goals (4) in 1 Game for Toronto Maple Leafs!
[2025-10-05 15:31:00] Mac Hollowell was released.
[2025-09-19 15:17:47] Chris Driedger was released.
[2025-09-19 15:17:47] Ryan Johansen was released.
[2025-09-19 15:17:47] Luke Glendening was released.
[2025-09-19 15:17:47] Kevin Rooney was released.
[2025-09-19 15:17:47] Jujhar Khaira was released.
[2025-09-19 15:17:47] Jacob Doty was released.
[2025-09-19 15:17:47] Dan Renouf was released.
[2025-09-19 15:17:47] Cam Atkinson was released.
[2025-09-19 15:17:47] Brendan Furry was released.
[2025-09-13 20:34:36] Toronto Marlies hired Mats Sundin for $1 for 5 year(s).
[2025-09-13 20:34:26] Toronto Maple Leafs hired Markus Naslund for $1 for 5 year(s).

Pas de blessure ou de suspension.

Toronto Maple Leafs Leaders statistiques des joueurs (saison régulière)

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#	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

Toronto Maple Leafs Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Toronto Maple Leafs Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
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

Toronto Maple Leafs Leaders statistiques des joueurs (séries éliminatoires)

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#	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

Toronto Maple Leafs Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Toronto Maple Leafs
	GP: 16 \| W: 11 \| L: 5 \| OTL: 0 \| P: 22 GF: 76 \| GA: 60 \| PP%: 24.56% \| PK%: 77.14% DG: Alexandre Taillon \| Morale : 50 \| Moyenne d’équipe : 75 Prochains matchs #256 vs Boston Bruins