Toronto Marlies
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Toronto Maple Leafs 8-1-0, 16pts	3	FINAL	2	Buffalo Sabres 5-7-0, 10pts

Team Stats
W2	Séquence	L1
5-0-0	Fiche domicile	3-3-0
3-1-0	Fiche visiteur	2-4-0
8-1-0	Derniers 10 matchs	4-5-1
3.22	Buts par match	2.42
1.89	Buts contre par match	2.33
20.00%	Pourcentage en avantage numérique	7.32%
95.12%	Pourcentage en désavantage numérique	85.11%

Buffalo Sabres
5-7-0, 10pts

FINAL

Toronto Maple Leafs
8-1-0, 16pts

Team Stats
L1	Séquence	W2
3-3-0	Fiche domicile	5-0-0
2-4-0	Fiche visiteur	3-1-0
4-5-1	Derniers 10 matchs	8-1-0
2.42	Buts par match	3.22
2.33	Buts contre par match	1.89
7.32%	Pourcentage en avantage numérique	20.00%
85.11%	Pourcentage en désavantage numérique	95.12%

Toronto Maple Leafs
8-1-0, 16pts

Jour 29

Columbus Blue Jackets
8-2-0, 16pts

Statistiques d’équipe
W2	Séquence	W7
5-0-0	Fiche domicile	4-1-0
3-1-0	Fiche visiteur	4-1-0
8-1-0	10 derniers matchs	8-1-1
3.22	Buts par match	3.60
1.89	Buts contre par match	3.60
20.00%	Pourcentage en avantage numérique	27.45%
95.12%	Pourcentage en désavantage numérique	92.31%

Toronto Maple Leafs
8-1-0, 16pts

Jour 31

Columbus Blue Jackets
8-2-0, 16pts

Statistiques d’équipe
W2	Séquence	W7
5-0-0	Fiche domicile	4-1-0
3-1-0	Fiche visiteur	4-1-0
8-1-0	10 derniers matchs	8-1-1
3.22	Buts par match	3.60
1.89	Buts contre par match	3.60
20.00%	Pourcentage en avantage numérique	27.45%
95.12%	Pourcentage en désavantage numérique	92.31%

Columbus Blue Jackets
8-2-0, 16pts

Jour 33

Toronto Maple Leafs
8-1-0, 16pts

Statistiques d’équipe
W7	Séquence	W2
4-1-0	Fiche domicile	5-0-0
4-1-0	Fiche visiteur	3-1-0
8-1-1	10 derniers matchs	8-1-0
3.60	Buts par match	3.22
1.90	Buts contre par match	3.22
27.45%	Pourcentage en avantage numérique	20.00%
92.31%	Pourcentage en désavantage numérique	95.12%

Meneurs d'équipe
	Buts Auston Matthews 8	Passes Auston Matthews 7

	Points Auston Matthews 15	Plus/Moins Auston Matthews 7

	Victoires Frederik Andersen 8	Pourcentage d’arrêts Frederik Andersen 0.94

Statistiques d’équipe
Buts pour 29 3.22 GFG	Tirs pour 303 33.67 Avg	Pourcentage en avantage numérique 20.0% 9 GF	Début de zone offensive 40.7%
Buts contre 17 1.89 GAA	Tirs contre 282 31.33 Avg	Pourcentage en désavantage numérique 95.1%% 2 GA	Début de la zone défensive 40.0%

Informations de l'équipe
	Directeur général	Pascal Levesque
	Entraîneur	Sheldon Keefe
	Division	ATLANTIC
	Conférence	EASTERN CONFERENCE
	Capitaine	Auston Matthews
	Assistant #1	Mitch Marner
	Assistant #2	Morgan Rielly
Informations de l’aréna
	Nom	Air Canada Center
	Capacité	18,000
	Assistance	18,000
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	25
	Limite contact	46 / 100
	Espoirs	28
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	83,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	9,461,500$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	140,000,777$
	Compte bancaire projeté	140,000,777$

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 moyen
1	Auston Matthews (C)	0	X				100.00	64	37	93	88	85	91	87	90	89	90	94	68	91	74	83	84	99	81	2	26	4	11,000,000$
2	Mitch Marner (A)	0	X	X	X		100.00	62	45	93	85	71	92	89	89	56	92	80	87	84	74	73	76	99	79	2	27	3	10,500,000$
3	Brayden Point	0	X	X	X		100.00	61	40	84	87	65	90	88	88	80	78	86	64	80	61	65	72	99	75	2	28	3	9,000,000$
4	Zach Hyman	0		X	X		100.00	64	44	86	78	80	90	89	75	57	74	79	74	77	84	83	40	99	74	0	31	2	3,500,000$
5	Oliver Bjorkstrand	0	X	X	X		100.00	64	39	90	79	69	87	90	78	58	73	73	66	78	73	79	54	99	72	2	29	2	4,800,000$
6	Drake Batherson	0			X		100.00	76	57	85	79	83	89	84	78	55	76	73	62	76	72	73	50	99	72	1	26	1	2,000,000$
7	Frederik Gauthier	0	X		X		100.00	57	44	83	72	70	87	90	69	80	68	66	86	75	75	71	73	96	70	0	29	2	1,100,000$
8	Ilya Mikheyev	0	X	X	X		100.00	59	38	95	77	79	78	87	71	59	65	72	74	74	80	73	39	89	70	0	29	4	4,000,000$
9	Mattias Janmark	0	X	X	X		100.00	66	40	87	75	78	83	86	65	70	64	64	74	69	76	76	44	98	69	2	31	2	3,000,000$
10	Pierre Engvall	9	X	X	X		100.00	60	45	89	75	93	82	89	66	69	64	64	64	62	69	73	67	97	68	0	27	3	1,500,000$
11	Dakota Joshua	0	X	X	X		100.00	77	47	86	70	71	84	89	68	75	66	68	64	65	72	69	50	99	68	0	28	4	850,000$
12	Warren Foegele	0	X		X		100.00	72	43	81	69	80	81	88	62	58	62	64	60	68	76	71	77	83	65	2	28	3	1,800,000$
13	Morgan Rielly (A)	0				X	100.00	68	41	80	81	82	93	88	75	30	86	67	79	56	80	87	75	97	76	2	30	4	7,000,000$
14	Marc Staal	44				X	100.00	79	43	89	62	86	86	89	59	30	69	56	87	49	91	81	43	99	74	2	37	1	2,000,000$
15	Justin Holl	0				X	100.00	80	46	75	68	88	91	88	64	30	71	61	85	50	74	76	49	99	74	2	32	2	1,800,000$
16	Jake Muzzin	0				X	100.00	78	45	81	70	67	72	75	70	30	73	61	91	56	80	82	18	88	73	0	35	2	8,500,000$
17	Mario Ferraro	0				X	100.00	82	55	81	67	78	93	85	67	30	69	57	91	58	56	55	69	98	73	2	29	2	1,000,000$
18	Nikita Zaitsev	0				X	100.00	80	41	86	66	79	85	81	64	30	64	58	81	50	76	72	27	88	71	0	32	3	3,500,000$
Rayé
1	Kevin Bahl	0				X	100.00	84	60	74	64	99	82	87	59	30	66	58	74	60	66	65	83	66	70	2	23	4	900,000$
Équipe Mineure
1	Sam Lafferty	0	X		X		100.00	83	39	79	67	77	86	83	68	77	63	64	77	66	75	72	52	58	68	0	29	1	950,000$
2	Dominic Toninato	0	X	X	X		100.00	77	37	81	64	81	82	85	64	73	62	63	73	62	76	72	49	75	66	0	30	1	850,000$
3	Carl Grundstrom	0	X	X	X		100.00	88	35	89	67	75	77	85	59	66	62	68	70	60	64	61	71	63	65	2	28	1	950,000$
4	Jesper Froden	0		X	X		100.00	66	45	73	60	77	80	81	62	50	66	61	62	67	67	62	68	57	62	0	29	1	750,000$
5	Egor Afanasyev (R)	0	X				100.00	76	40	74	65	89	83	88	63	58	60	62	57	58	60	43	85	64	62	0	23	1	789,167$
6	Jason Polin (R)	0		X	X		100.00	66	55	70	71	78	78	77	66	50	58	62	63	61	56	51	59	67	62	0	24	2	833,000$
7	Jamie Devane	0	X	X	X		100.00	86	64	69	55	96	79	78	51	66	53	53	64	53	80	72	51	39	61	0	33	1	750,000$
8	Joseph LaBate	0		X	X		100.00	74	56	80	58	91	82	81	55	54	60	59	57	58	78	72	47	35	61	0	31	1	750,000$
9	Mikael Pyyhtia (R)	0		X	X		100.00	55	30	67	68	67	74	75	58	50	54	57	58	62	57	52	75	41	58	0	22	3	833,000$
10	Logan Morrison	0	X	X			100.00	60	55	66	56	67	75	74	58	50	64	60	57	57	46	51	76	58	58	0	21	3	650,000$
11	Grant Mismash (R)	0		X			100.00	63	55	79	57	71	78	70	52	50	52	53	57	60	63	43	74	46	56	0	25	1	750,000$
12	Jarid Lukosevicius	0		X	X		100.00	57	46	81	55	67	79	81	53	54	52	56	50	55	71	67	54	40	56	0	29	1	750,000$
13	Marc Del Gaizo (R)	0				X	100.00	76	45	78	67	69	82	80	61	30	70	59	75	54	63	43	76	69	66	0	24	1	850,833$
14	Shakir Mukhamadullin (R)	0				X	100.00	76	45	71	68	79	78	77	60	30	60	60	70	55	56	47	75	53	64	2	22	3	900,000$
15	Keaton Middleton	0				X	100.00	90	57	60	55	80	82	82	59	30	57	53	63	46	69	68	58	51	64	0	26	1	875,000$
16	Ryker Evans (R)	0				X	100.00	58	40	72	61	68	73	72	61	30	67	55	66	48	64	63	75	40	61	0	26	2	897,500$
17	Mason Millman (R)	0				X	100.00	66	60	71	61	64	72	77	55	30	57	58	64	60	65	65	73	38	61	0	22	4	800,000$
18	Adam Brubacher (R)	0				X	100.00	74	45	86	60	84	61	65	51	30	52	50	55	45	46	67	39	23	58	0	28	1	750,000$
19	Clifford Watson	0				X	100.00	51	89	69	57	78	77	67	56	30	50	51	63	52	52	52	44	36	58	0	30	1	750,000$
20	Jorian Donovan (R)	0				X	100.00	65	50	71	56	61	72	77	54	30	51	51	57	55	51	46	79	38	56	2	20	3	833,000$
21	Adam Brooks	0	X				100.00	65	41	89	63	70	76	78	68	65	63	60	59	53	73	72	70	38	62	2	28	3	950,000$
22	Matthew Stienburg (R)	0	X				100.00	65	55	71	56	67	72	74	50	50	51	48	55	54	47	57	73	20	54	2	23	3	833,000$

	MOYENNE D’ÉQUIPE						100.00	70	45	85	74	79	86	87	71	53	72	68	75	67	74	74	57	94	72

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 moyen
1	Frederik Andersen	0	100.00	95	97	91	94	95	95	97	96	95	95	94	85	90	49	99	92	2	34	1	4,000,000$
2	Joseph Woll (R)	0	100.00	80	72	70	84	79	78	81	79	78	80	79	65	69	66	99	76	2	25	3	975,000$
Rayé
Équipe Mineure
1	Arturs Silovs (R)	0	100.00	68	80	80	86	78	78	78	78	78	71	75	55	55	80	69	73	0	23	4	950,000$
2	Antoine Bibeau	0	100.00	88	66	72	84	69	69	71	71	68	70	69	73	77	57	85	71	0	30	2	925,000$
3	David Hrenak	0	100.00	77	68	66	68	69	70	67	66	69	64	50	45	55	60	20	64	0	27	4	925,000$

	MOYENNE D’ÉQUIPE		100.00	88	85	81	89	87	87	89	88	87	88	87	75	80	58	99	84

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sheldon Keefe	81	88	93	82	64	60	83	CAN	42	1	1,500,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Auston Matthews	Toronto Maple Leafs	C	9	8	7	15	7	0	8	10	43	14	24	18.60%	0	163	18.18	2	3	5	14	39	0	3	3	1	59.20%	201	23	1	1	1.83	3	1	2
2	Mitch Marner	Toronto Maple Leafs	C/LW/RW	9	8	7	15	7	0	10	9	40	12	23	20.00%	1	166	18.49	4	2	6	10	39	0	5	3	1	23.08%	13	22	9	1	1.80	1	3	1
3	Brayden Point	Toronto Maple Leafs	C/LW/RW	9	6	4	10	6	8	6	8	44	13	14	13.64%	1	149	16.64	2	1	3	10	31	0	0	0	0	45.71%	105	20	0	1	1.34	0	2	0
4	Zach Hyman	Toronto Maple Leafs	LW/RW	9	2	6	8	7	6	7	15	15	7	8	13.33%	7	200	22.23	1	1	2	7	31	0	49	0	0	57.14%	14	8	1	0	0.80	1	0	1
5	Drake Batherson	Toronto Maple Leafs	RW	9	2	5	7	6	4	6	5	7	4	10	28.57%	3	154	17.17	0	1	1	0	39	0	0	0	0	22.22%	9	7	1	0	0.91	0	0	1
6	Oliver Bjorkstrand	Toronto Maple Leafs	C/LW/RW	9	2	4	6	6	4	5	9	18	5	14	11.11%	3	147	16.40	0	2	2	6	30	0	0	1	0	20.00%	5	5	2	0	0.81	1	0	0
7	Mario Ferraro	Toronto Maple Leafs	D	9	0	4	4	0	4	21	16	8	6	10	0%	12	185	20.57	0	2	2	3	28	0	5	0	0	0%	0	0	6	0	0.43	0	0	0
8	Marc Staal	Toronto Maple Leafs	D	9	0	3	3	1	6	13	14	13	4	4	0%	5	171	19.06	0	1	1	0	10	0	19	0	0	0%	0	1	6	0	0.35	0	0	0
9	Jake Muzzin	Toronto Maple Leafs	D	8	0	2	2	4	10	18	18	4	8	6	0%	16	168	21.05	0	0	0	1	27	0	24	0	0	0%	0	0	8	0	0.24	0	0	0
10	Morgan Rielly	Toronto Maple Leafs	D	9	0	2	2	0	8	15	20	13	2	4	0%	15	246	27.42	0	1	1	2	41	1	42	0	0	0%	0	5	9	0	0.16	0	0	0
11	Nikita Zaitsev	Toronto Maple Leafs	D	9	0	1	1	0	6	21	25	12	6	6	0%	16	181	20.17	0	1	1	0	32	1	9	0	0	0%	0	0	6	0	0.11	0	0	0
12	Pierre Engvall	Toronto Maple Leafs	C/LW/RW	9	0	1	1	-3	2	4	11	16	4	12	0%	4	106	11.84	0	0	0	0	0	1	14	0	0	44.00%	75	6	0	0	0.19	0	0	0
13	Dakota Joshua	Toronto Maple Leafs	C/LW/RW	9	1	0	1	-3	0	5	3	14	2	14	7.14%	4	84	9.43	0	0	0	0	0	0	0	1	0	50.00%	2	3	0	0	0.24	0	0	1
14	Frederik Gauthier	Toronto Maple Leafs	C/RW	9	0	0	0	-5	4	6	7	19	2	11	0%	5	101	11.30	0	0	0	0	0	0	0	0	0	25.00%	4	5	2	0	0	0	0	0
15	Mattias Janmark	Toronto Maple Leafs	C/LW/RW	9	0	0	0	-5	0	4	18	11	5	10	0%	1	160	17.79	0	0	0	0	0	1	52	0	0	45.99%	137	5	3	0	0	0	0	0
16	Warren Foegele	Toronto Maple Leafs	C/RW	9	0	0	0	-3	4	8	5	4	1	2	0%	1	86	9.57	0	0	0	0	0	0	0	0	0	28.57%	7	2	0	0	0	0	0	0
17	Ilya Mikheyev	Toronto Maple Leafs	C/LW/RW	9	0	0	0	-5	0	4	8	19	6	17	0%	4	127	14.13	0	0	0	0	0	1	14	0	0	75.00%	4	16	1	0	0	0	0	0
18	Justin Holl	Toronto Maple Leafs	D	9	0	0	0	4	12	19	11	2	2	2	0%	10	187	20.81	0	0	0	0	0	0	37	0	0	0%	0	0	9	0	0	0	0	0
19	Kevin Bahl	Toronto Maple Leafs	D	1	0	0	0	1	4	2	1	1	1	0	0%	1	20	20.80	0	0	0	0	0	0	2	0	0	0%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				162	29	46	75	25	82	182	213	303	104	191	9.57%	109	2810	17.35	9	15	24	53	352	5	282	8	2	49.31%	576	128	64	3	0.53	6	6	6

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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Frederik Andersen	Toronto Maple Leafs	9	8	1	0	0.940	1.77	576	0	2	17	282	127	0	0	0	0	9	0	3	1	0
Statistiques d’équipe totales ou en moyenne			9	8	1	0	0.940	1.77	576	0	2	17	282	127	0	0		0	9	0	3	1	0

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 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
Auston Matthews	Toronto Maple Leafs	C	26	1997-09-17 09:20:37	No	205 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	11,000,000$	3,666,667$	11,000,000$	3,666,667$	11,000,000$	3,666,667$	No	11,000,000$	11,000,000$	11,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Brayden Point	Toronto Maple Leafs	C/LW/RW	28	1996-03-13 03:57:19	No	165 Lbs	5 ft10	No	No	N/A	No	No	3	Pro Only	9,000,000$	3,000,000$	9,000,000$	3,000,000$	9,000,000$	3,000,000$	No	9,000,000$	9,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Dakota Joshua	Toronto Maple Leafs	C/LW/RW	28	1996-05-15	No	206 Lbs	6 ft3	No	No	N/A	No	No	4	Pro & Farm	850,000$	283,333$	850,000$	283,333$	850,000$	283,333$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Drake Batherson	Toronto Maple Leafs	RW	26	1998-04-27	No	200 Lbs	6 ft3	No	No	N/A	No	No	1	Pro Only	2,000,000$	666,667$	2,000,000$	666,667$	2,000,000$	666,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Frederik Andersen	Toronto Maple Leafs	G	34	1989-10-02	No	238 Lbs	6 ft4	No	No	N/A	No	No	1	Pro Only	4,000,000$	1,333,333$	4,000,000$	1,333,333$	4,000,000$	1,333,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Frederik Gauthier	Toronto Maple Leafs	C/RW	29	1995-04-26	No	200 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	1,100,000$	366,667$	1,100,000$	366,667$	1,100,000$	366,667$	No	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Ilya Mikheyev	Toronto Maple Leafs	C/LW/RW	29	1994-10-10	No	192 Lbs	6 ft1	No	No	N/A	No	No	4	Pro Only	4,000,000$	1,333,333$	4,000,000$	1,333,333$	4,000,000$	1,333,333$	No	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jake Muzzin	Toronto Maple Leafs	D	35	1989-02-21 05:15:06	No	227 Lbs	6 ft3	No	No	N/A	No	No	2	Pro Only	8,500,000$	2,833,333$	8,500,000$	2,833,333$	8,500,000$	2,833,333$	No	8,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joseph Woll	Toronto Maple Leafs	G	25	1998-07-12	Yes	203 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	975,000$	325,000$	975,000$	325,000$	975,000$	325,000$	No	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Justin Holl	Toronto Maple Leafs	D	32	1992-01-30	No	210 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	1,800,000$	600,000$	1,800,000$	600,000$	1,800,000$	600,000$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Kevin Bahl	Toronto Maple Leafs	D	23	2000-06-27 05:50:37	No	230 Lbs	6 ft6	No	No	N/A	No	No	4	Pro & Farm	900,000$	300,000$	900,000$	300,000$	900,000$	300,000$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Marc Staal	Toronto Maple Leafs	D	37	1987-01-13	No	208 Lbs	6 ft4	No	No	N/A	No	No	1	Pro Only	2,000,000$	666,667$	2,000,000$	666,667$	2,000,000$	666,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mario Ferraro	Toronto Maple Leafs	D	29	1994-09-17 01:37:03	No	209 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	1,000,000$	333,333$	1,000,000$	333,333$	1,000,000$	333,333$	No	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mattias Janmark	Toronto Maple Leafs	C/LW/RW	31	1992-12-08	No	205 Lbs	6 ft1	No	No	N/A	No	No	2	Pro Only	3,000,000$	1,000,000$	3,000,000$	1,000,000$	3,000,000$	1,000,000$	No	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Mitch Marner (contrat à 1 volet)	Toronto Maple Leafs	C/LW/RW	27	1997-05-05 09:30:02	No	170 Lbs	5 ft10	No	No	N/A	No	No	3	Pro Only	10,500,000$	3,500,000$	10,500,000$	3,500,000$	10,500,000$	3,500,000$	No	10,500,000$	10,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Morgan Rielly	Toronto Maple Leafs	D	30	1994-03-09	No	219 Lbs	6 ft1	No	No	N/A	No	No	4	Pro Only	7,000,000$	2,333,333$	7,000,000$	2,333,333$	7,000,000$	2,333,333$	No	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nikita Zaitsev	Toronto Maple Leafs	D	32	1991-10-29	No	192 Lbs	6 ft1	No	No	N/A	No	No	3	Pro Only	3,500,000$	1,166,667$	3,500,000$	1,166,667$	3,500,000$	1,166,667$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Oliver Bjorkstrand	Toronto Maple Leafs	C/LW/RW	29	1995-04-10	No	177 Lbs	6 ft0	No	No	N/A	No	No	2	Pro Only	4,800,000$	1,600,000$	4,800,000$	1,600,000$	4,800,000$	1,600,000$	No	4,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Pierre Engvall	Toronto Maple Leafs	C/LW/RW	27	1996-05-31 14:56:14	No	219 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	1,500,000$	500,000$	1,500,000$	500,000$	1,500,000$	500,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Warren Foegele	Toronto Maple Leafs	C/RW	28	1996-04-01 03:05:33	No	198 Lbs	6 ft2	No	No	N/A	No	No	3	Pro Only	1,800,000$	600,000$	1,800,000$	600,000$	1,800,000$	600,000$	No	1,800,000$	1,800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Zach Hyman	Toronto Maple Leafs	LW/RW	31	1992-06-09	No	211 Lbs	6 ft1	No	No	N/A	No	No	2	Pro Only	3,500,000$	1,166,667$	3,500,000$	1,166,667$	3,500,000$	1,166,667$	No	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.33	204 Lbs	6 ft2	2.62	3,939,286$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,725,000$	74,725,000$	51,025,000$	23,750,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Zach Hyman	Auston Matthews	Mitch Marner	32	1	2	2
2	Oliver Bjorkstrand	Brayden Point	Drake Batherson	30	1	2	2
3	Ilya Mikheyev	Mattias Janmark	Frederik Gauthier	23	0	2	3
4	Dakota Joshua	Pierre Engvall	Warren Foegele	15	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	Mario Ferraro	36	1	2	2
2	Jake Muzzin	Justin Holl	34	1	2	2
3	Marc Staal	Nikita Zaitsev	30	1	2	2
4	Morgan Rielly	Justin Holl	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mitch Marner	Auston Matthews	Drake Batherson	60	1	2	2
2	Zach Hyman	Brayden Point	Oliver Bjorkstrand	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	Jake Muzzin	60	0	2	3
2	Mario Ferraro	Nikita Zaitsev	40	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mattias Janmark	Zach Hyman	60	1	4	0
2	Pierre Engvall	Ilya Mikheyev	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	Justin Holl	60	1	4	0
2	Jake Muzzin	Marc Staal	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mattias Janmark	60	1	4	0	Justin Holl	Morgan Rielly	60	1	4	0
2	Pierre Engvall	40	1	4	0	Jake Muzzin	Marc Staal	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mattias Janmark	Ilya Mikheyev	60	1	2	2
2	Pierre Engvall	Frederik Gauthier	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mario Ferraro	Jake Muzzin	60	1	2	2
2	Morgan Rielly	Justin Holl	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brayden Point	Auston Matthews	Mitch Marner	Morgan Rielly	Mario Ferraro

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Zach Hyman	Mattias Janmark	Ilya Mikheyev	Mario Ferraro	Morgan Rielly

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mitch Marner, Auston Matthews , Mattias Janmark	Ilya Mikheyev, Oliver Bjorkstrand	Mattias Janmark

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jake Muzzin, Morgan Rielly, Justin Holl	Jake Muzzin	Jake Muzzin, Morgan Rielly

Tirs de pénalité
Mitch Marner, Auston Matthews , Drake Batherson, Oliver Bjorkstrand, Ilya Mikheyev

Gardien
#1 : Frederik Andersen, #2 : Joseph Woll

Lignes d’attaque personnalisées en prolongation
Mitch Marner, Auston Matthews , Brayden Point , Zach Hyman, Oliver Bjorkstrand, Ilya Mikheyev, Ilya Mikheyev, Drake Batherson, Pierre Engvall , Frederik Gauthier, Mattias Janmark

Lignes de défense personnalisées en prolongation
Morgan Rielly, Jake Muzzin, Mario Ferraro, Marc Staal, Justin Holl

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	Buffalo Sabres	5	4	1	0	0	0	0	0	14	9	5	3	3	0	0	0	0	0	0	9	4	5	2	1	1	0	0	0	0	0	5	5	0	8	0.800	14	23	37	0	2	4	6	3	1	152	46	51	50	5	142	52	42	95	18	3	16.67%	21	0	100.00%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	113	74	120	40	71	36
2	Ottawa Senators	4	4	0	0	0	0	0	0	15	8	7	2	2	0	0	0	0	0	0	7	5	2	2	2	0	0	0	0	0	0	8	3	5	8	1.000	15	23	38	0	0	3	7	3	2	151	37	49	43	22	140	57	40	87	27	6	22.22%	20	2	90.00%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	99	61	105	38	66	33
	Total	9	8	1	0	0	0	0	0	29	17	12	5	5	0	0	0	0	0	0	16	9	7	4	3	1	0	0	0	0	0	13	8	5	16	0.889	29	46	75	0	2	7	13	6	3	303	83	100	93	27	282	109	82	182	45	9	20.00%	41	2	95.12%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	213	135	226	79	137	69
	_Since Last GM Reset	9	8	1	0	0	0	0	0	29	17	12	5	5	0	0	0	0	0	0	16	9	7	4	3	1	0	0	0	0	0	13	8	5	16	0.889	29	46	75	0	2	7	13	6	3	303	83	100	93	27	282	109	82	182	45	9	20.00%	41	2	95.12%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	213	135	226	79	137	69
	_Vs Conference	9	8	1	0	0	0	0	0	29	17	12	5	5	0	0	0	0	0	0	16	9	7	4	3	1	0	0	0	0	0	13	8	5	16	0.889	29	46	75	0	2	7	13	6	3	303	83	100	93	27	282	109	82	182	45	9	20.00%	41	2	95.12%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	213	135	226	79	137	69
	_Vs Division	9	8	1	0	0	0	0	0	29	17	12	5	5	0	0	0	0	0	0	16	9	7	4	3	1	0	0	0	0	0	13	8	5	16	0.889	29	46	75	0	2	7	13	6	3	303	83	100	93	27	282	109	82	182	45	9	20.00%	41	2	95.12%	0	106	234	45.30%	122	230	53.04%	56	111	50.45%	213	135	226	79	137	69

			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
9	16	W2	29	46	75	303	282	109	82	182	0	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	8	1	0	0	0	0	29	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	16	9

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	13	8

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
8	1	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
45	9	20.00%	41	2	95.12%	0

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
83	100	93	27	7	13	6	3

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
106	234	45.30%	122	230	53.04%	56	111	50.45%

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
213	135	226	79	137	69

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	OT	Lien
1	2	Ottawa Senators	2	Toronto Maple Leafs	3	BW	X	Sommaire du match
3	10	Ottawa Senators	3	Toronto Maple Leafs	4	BW	X	Sommaire du match
5	18	Toronto Maple Leafs	4	Ottawa Senators	2	AW		Sommaire du match
7	26	Toronto Maple Leafs	4	Ottawa Senators	1	AW		Sommaire du match
15	58	Buffalo Sabres	0	Toronto Maple Leafs	1	BW		Sommaire du match
17	62	Buffalo Sabres	4	Toronto Maple Leafs	7	BW		Sommaire du match
19	66	Toronto Maple Leafs	2	Buffalo Sabres	3	AL		Sommaire du match
21	70	Toronto Maple Leafs	3	Buffalo Sabres	2	AW	X	Sommaire du match
23	74	Buffalo Sabres	0	Toronto Maple Leafs	1	BW		Sommaire du match
29	85	Toronto Maple Leafs	-	Columbus Blue Jackets	-
31	87	Toronto Maple Leafs	-	Columbus Blue Jackets	-
33	89	Columbus Blue Jackets	-	Toronto Maple Leafs	-
35	91	Columbus Blue Jackets	-	Toronto Maple Leafs	-
37	93	Toronto Maple Leafs	-	Columbus Blue Jackets	-
39	95	Columbus Blue Jackets	-	Toronto Maple Leafs	-
41	97	Toronto Maple Leafs	-	Columbus Blue Jackets	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	30,000	25,000	10,000	20,000	5,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
36	18000 - 100.00%	1,892,300$	9,461,500$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	82,725,000$	82,725,000$	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
0$	0$	20,918,585$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	14	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	140,000,777$	140,000,777$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	83,500,000$	83,500,000$	-61,700,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Mitch Marner	AGE:27	PO:76	OV:79
Brayden Point	AGE:28	PO:72	OV:75
Zach Hyman	AGE:31	PO:40	OV:74
Oliver Bjorkstrand	AGE:29	PO:54	OV:72
Ilya Mikheyev	AGE:29	PO:39	OV:70
Mattias Janmark	AGE:31	PO:44	OV:69
Pierre Engvall	AGE:27	PO:67	OV:68
Dakota Joshua	AGE:28	PO:50	OV:68
Dominic Toninato	AGE:30	PO:49	OV:66
Carl Grundstrom	AGE:28	PO:71	OV:65
Jesper Froden	AGE:29	PO:68	OV:62
Jason Polin (R)	AGE:24	PO:59	OV:62
Jamie Devane	AGE:33	PO:51	OV:61
Joseph LaBate	AGE:31	PO:47	OV:61
Logan Morrison	AGE:21	PO:76	OV:58
Mikael Pyyhtia (R)	AGE:22	PO:75	OV:58
Grant Mismash (R)	AGE:25	PO:74	OV:56
Jarid Lukosevicius	AGE:29	PO:54	OV:56

Auston Matthews	AGE:26	PO:84	OV:81
Mitch Marner	AGE:27	PO:76	OV:79
Brayden Point	AGE:28	PO:72	OV:75
Oliver Bjorkstrand	AGE:29	PO:54	OV:72
Frederik Gauthier	AGE:29	PO:73	OV:70
Ilya Mikheyev	AGE:29	PO:39	OV:70
Mattias Janmark	AGE:31	PO:44	OV:69
Pierre Engvall	AGE:27	PO:67	OV:68
Sam Lafferty	AGE:29	PO:52	OV:68
Dakota Joshua	AGE:28	PO:50	OV:68
Dominic Toninato	AGE:30	PO:49	OV:66
Warren Foegele	AGE:28	PO:77	OV:65
Carl Grundstrom	AGE:28	PO:71	OV:65
Egor Afanasyev (R)	AGE:23	PO:85	OV:62
Adam Brooks	AGE:28	PO:70	OV:62
Jamie Devane	AGE:33	PO:51	OV:61
Logan Morrison	AGE:21	PO:76	OV:58
Matthew Stienburg (R)	AGE:23	PO:73	OV:54

Mitch Marner	AGE:27	PO:76	OV:79
Brayden Point	AGE:28	PO:72	OV:75
Zach Hyman	AGE:31	PO:40	OV:74
Oliver Bjorkstrand	AGE:29	PO:54	OV:72
Drake Batherson	AGE:26	PO:50	OV:72
Frederik Gauthier	AGE:29	PO:73	OV:70
Ilya Mikheyev	AGE:29	PO:39	OV:70
Mattias Janmark	AGE:31	PO:44	OV:69
Pierre Engvall	AGE:27	PO:67	OV:68
Sam Lafferty	AGE:29	PO:52	OV:68
Dakota Joshua	AGE:28	PO:50	OV:68
Dominic Toninato	AGE:30	PO:49	OV:66
Warren Foegele	AGE:28	PO:77	OV:65
Carl Grundstrom	AGE:28	PO:71	OV:65
Jesper Froden	AGE:29	PO:68	OV:62
Jason Polin (R)	AGE:24	PO:59	OV:62
Jamie Devane	AGE:33	PO:51	OV:61
Joseph LaBate	AGE:31	PO:47	OV:61
Mikael Pyyhtia (R)	AGE:22	PO:75	OV:58
Jarid Lukosevicius	AGE:29	PO:54	OV:56

Défense #1

Défense #2

Gardien

Morgan Rielly	AGE:30	PO:75	OV:76
Justin Holl	AGE:32	PO:49	OV:74
Marc Staal	AGE:37	PO:43	OV:74
Mario Ferraro	AGE:29	PO:69	OV:73
Jake Muzzin	AGE:35	PO:18	OV:73
Nikita Zaitsev	AGE:32	PO:27	OV:71
Kevin Bahl	AGE:23	PO:83	OV:70
Marc Del Gaizo (R)	AGE:24	PO:76	OV:66

Shakir Mukhamadullin (R)	AGE:22	PO:75	OV:64
Keaton Middleton	AGE:26	PO:58	OV:64
Ryker Evans (R)	AGE:26	PO:75	OV:61
Mason Millman (R)	AGE:22	PO:73	OV:61
Clifford Watson	AGE:30	PO:44	OV:58
Adam Brubacher (R)	AGE:28	PO:39	OV:58
Jorian Donovan (R)	AGE:20	PO:79	OV:56

Frederik Andersen	AGE:34	PO:49	OV:92
Joseph Woll (R)	AGE:25	PO:66	OV:76
Arturs Silovs (R)	AGE:23	PO:80	OV:73
Antoine Bibeau	AGE:30	PO:57	OV:71
David Hrenak	AGE:27	PO:60	OV:64

Espoirs

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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
Aiden Mcdonough	Toronto Maple Leafs	2019	201
Albin Grewe	Toronto Maple Leafs	2019	66
Angus MacDonell	Toronto Maple Leafs	2023	213
Arseny Gritsyuk	Toronto Maple Leafs	2019	139
Axel Rindell	Toronto Maple Leafs	2020	177
Blake Biondi	Toronto Maple Leafs	2020	112
Brandon Svoboda	Toronto Maple Leafs	2023	85
Bryce Misley	Toronto Maple Leafs	2017	116
Calle Clang	Toronto Maple Leafs	2020	80
Cameron MacDonald	Toronto Maple Leafs	2021	158
Cameron Whynot	Toronto Maple Leafs	2021	89
Dylan James	Toronto Maple Leafs	2022	53
Filip Eriksson	Toronto Maple Leafs	2023	181
Hank Kempf	Toronto Maple Leafs	2021	217
Jack Walker	Toronto Maple Leafs	2016	152
Josh Filmon	Toronto Maple Leafs	2022	181
Kalle Vaisanen	Toronto Maple Leafs	2021	121
Kirill Maksimov	Toronto Maple Leafs	2017	146
Linus Oberg	Toronto Maple Leafs	2020	212
Lucas Ciona	Toronto Maple Leafs	2021	185
Lucas Elvenes	Toronto Maple Leafs	2017	127
Nathan Gaucher	Toronto Maple Leafs	2022	21
Nikolai Chebykin	Toronto Maple Leafs	2016	182
Noah Laba	Toronto Maple Leafs	2022	117
Owen Mehlenbacher	Toronto Maple Leafs	2022	213
Paul Fischer	Toronto Maple Leafs	2023	149
Tom Willander	Toronto Maple Leafs	2023	21
Vladislav Firstov	Toronto Maple Leafs	2019	42

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
9	TOR	TOR	TOR SEA	TOR	TOR	TOR	TOR
10	TOR	TOR	TOR	TOR	TOR	TOR	TOR
11	TOR	TOR	TOR	TOR	TOR	TOR	TOR
12	TOR	TOR	TOR	TOR	TOR	TOR	TOR
13	TOR	TOR	TOR	TOR	TOR	TOR	TOR
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

[2024-04-24 15:04:24] - Toronto Marlies didn't make playoff for year 8.
[2024-04-01 07:25:49] - Jason Polin was added to Toronto Maple Leafs.
[2024-03-21 09:06:46] - Logan Morrison was added to Toronto Maple Leafs.
[2024-02-04 08:54:44] - TRADE : From Toronto Maple Leafs to Seattle Kraken : Anthony Mantha (69), Trevor Moore (68).
[2024-02-04 08:54:44] - TRADE : From Seattle Kraken to Toronto Maple Leafs : Ilya Mikheyev (69), Y:9-RND:3-SEA.
[2023-10-15 07:55:33] - Grant Mismash was added to Toronto Maple Leafs.
[2023-10-15 07:55:30] - Jarid Lukosevicius was added to Toronto Maple Leafs.
[2023-10-15 07:55:24] - Adam Brubacher was added to Toronto Maple Leafs.
[2023-10-12 13:44:33] - Joseph LaBate was added to Toronto Maple Leafs.
[2023-10-12 13:44:28] - Jesper Froden was added to Toronto Maple Leafs.
[2023-10-12 13:44:25] - Jamie Devane was added to Toronto Maple Leafs.
[2023-10-12 13:43:01] - Clifford Watson was added to Toronto Maple Leafs.
[2023-09-05 19:08:35] - Toronto Marlies hired Andrew Brunette for 1 000 000 $ for 3 year(s).
[2023-08-31 19:05:35] - Aiden Mcdonough has been added to Toronto Maple Leafs.

[2024-05-16 10:27:56] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-16 10:27:42] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-15 09:01:22] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-05-15 09:00:51] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-05-14 07:20:15] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:108.171.75.32 .
[2024-05-14 07:17:03] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:108.171.75.32 .
[2024-05-13 08:38:57] Last 7 Days Pro Star : 1 - Mitch Marner of Toronto Maple Leafs (6-2-8) / 2 - Auston Matthews of Toronto Maple Leafs (3-5-8) / 3 - J.T. Miller of Chicago Blackhawks (2-6-8)
[2024-05-13 08:38:51] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-13 08:37:56] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-11 07:32:40] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:108.171.75.32 .
[2024-05-11 07:32:07] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:108.171.75.32 .
[2024-05-10 07:34:52] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-05-10 07:30:30] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-05-09 08:52:09] Pro Game #62 - Brayden Point from Toronto Maple Leafs has scored a Hat Trick!
[2024-05-09 08:52:09] Pro Game #62 - Mitch Marner from Toronto Maple Leafs has scored a Hat Trick!
[2024-05-09 08:52:00] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-09 08:51:45] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-09 08:51:35] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:174.93.18.64 .
[2024-05-08 08:57:58] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:204.48.78.125 .
[2024-05-08 08:57:05] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:204.48.78.125 .
[2024-05-06 09:52:32] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:74.15.119.81 .
[2024-05-06 09:50:06] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:74.15.119.81 .
[2024-04-29 09:47:39] Last 7 Days Pro Star : 1 - Mark Scheifele of Winnipeg Jets (6-2-8) / 2 - Jacob Markstrom of Washington Capitals (0,972) / 3 - Auston Matthews of Toronto Maple Leafs (5-2-7)
[2024-04-28 15:47:41] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.122.42.247 .
[2024-04-28 15:47:28] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.122.42.247 .
[2024-04-28 07:11:49] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:173.179.100.196 .
[2024-04-28 07:09:41] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:173.179.100.196 .
[2024-04-27 07:30:51] Jake Muzzin from Toronto Maple Leafs is back from Left Leg Injury.
[2024-04-27 07:30:50] Pro Game #10 - Auston Matthews from Toronto Maple Leafs has scored a Hat Trick!
[2024-04-26 09:26:11] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:204.48.92.20 .
[2024-04-26 09:21:41] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:204.48.92.20 .
[2024-04-26 09:21:41] Kevin Bahl of Toronto Maple Leafs was sent to pro.
[2024-04-25 11:18:54] Game 2 - Jake Muzzin from Toronto Maple Leafs is injured (Left Leg) and is out for 1 week.
[2024-04-25 11:18:50] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-25 11:18:25] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-25 11:17:54] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-20 07:44:29] Toronto Maple Leafs are expected to be over the salary cap by $193,517!

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: 9 \| W: 8 \| L: 1 GF: 29 \| GA: 17 \| PP%: 20.00% \| PK%: 95.12% DG: Pascal Levesque \| Morale : 99 \| Moyenne d’équipe : 73 #85 vs Columbus Blue Jackets