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 14-7-3, 31pts	2	FINAL	1	Tampa Bay Lightning 14-9-1, 29pts

Team Stats
W4	Séquence	L1
9-4-1	Fiche domicile	8-5-0
5-3-2	Fiche visiteur	6-4-1
8-2-0	Derniers 10 matchs	6-4-0
3.75	Buts par match	3.25
3.08	Buts contre par match	3.00
21.11%	Pourcentage en avantage numérique	18.35%
78.13%	Pourcentage en désavantage numérique	82.14%

Chicago Blackhawks
9-12-4, 22pts

FINAL

Toronto Maple Leafs
14-7-3, 31pts

Team Stats
L1	Séquence	W4
3-4-3	Fiche domicile	9-4-1
6-8-1	Fiche visiteur	5-3-2
1-6-3	Derniers 10 matchs	8-2-0
2.60	Buts par match	3.75
3.80	Buts contre par match	3.08
19.01%	Pourcentage en avantage numérique	21.11%
71.84%	Pourcentage en désavantage numérique	78.13%

Nashville Predators
19-6-0, 38pts

Jour 62

Toronto Maple Leafs
14-7-3, 31pts

Statistiques d’équipe
W1	Séquence	W4
9-4-0	Fiche domicile	9-4-1
10-2-0	Fiche visiteur	5-3-2
9-1-0	10 derniers matchs	8-2-0
3.32	Buts par match	3.75
2.20	Buts contre par match	3.75
22.92%	Pourcentage en avantage numérique	21.11%
93.00%	Pourcentage en désavantage numérique	78.13%

Washington Capitals
12-8-4, 28pts

Jour 64

Toronto Maple Leafs
14-7-3, 31pts

Statistiques d’équipe
L1	Séquence	W4
7-4-2	Fiche domicile	9-4-1
5-4-2	Fiche visiteur	5-3-2
4-4-2	10 derniers matchs	8-2-0
3.46	Buts par match	3.75
3.04	Buts contre par match	3.75
18.27%	Pourcentage en avantage numérique	21.11%
81.05%	Pourcentage en désavantage numérique	78.13%

Toronto Maple Leafs
14-7-3, 31pts

Jour 65

Pittsburgh Penguins
12-12-2, 26pts

Statistiques d’équipe
W4	Séquence	L4
9-4-1	Fiche domicile	7-6-1
5-3-2	Fiche visiteur	5-6-1
8-2-0	10 derniers matchs	2-8-0
3.75	Buts par match	3.08
3.08	Buts contre par match	3.08
21.11%	Pourcentage en avantage numérique	16.96%
78.13%	Pourcentage en désavantage numérique	77.78%

Meneurs d'équipe
	Buts Ryan Nugent-Hopkins 15	Passes Elias Lindholm 22

	Points Elias Lindholm 36	Plus/Moins Ryan Nugent-Hopkins 16

	Victoires Joonas Korpisalo 13	Pourcentage d’arrêts Joonas Korpisalo 0.906

Statistiques d’équipe
Buts pour 90 3.75 GFG	Tirs pour 804 33.50 Avg	Pourcentage en avantage numérique 21.1% 19 GF	Début de zone offensive 42.6%
Buts contre 74 3.08 GAA	Tirs contre 701 29.21 Avg	Pourcentage en désavantage numérique 78.1%% 21 GA	Début de la zone défensive 38.6%

Informations de l'équipe
	Directeur général	Nick Fournier
	Entraîneur	Andre Tourigny
	Division	Atlantic
	Conférence	Eastern Conference
	Capitaine
	Assistant #1	Ryan Nugent-Hopkins
	Assistant #2
Informations de l’aréna
	Nom	Air Canada Center
	Capacité	21,000
	Assistance	17,937
	Billets de saison	8,400
Informations de la formation
	Équipe Pro	24
	Équipe Mineure	14
	Limite contact	38 / 250
	Espoirs	35
Plafond salarial
	Cap Salarial de la Saison estimé	70,859,302$
	Plafond salarial disponible	12,640,698$
	Valeur du plafond salarial spécial	2,550,000$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	25,258,424$
	Dépenses annuelles à ce jour	23,047,491$
	Revenus de la saison estimés	48,712,675$
	Dépenses de la saison estimées	49,909,374$
	Compte bancaire actuel	70,932,529$
	Compte bancaire projeté	71,148,504$

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	Corey Perry		X	X		100.00	67	73	70	66	85	80	85	68	50	64	67	63	65	93	82	31	61	0	0	39	3	1,999,999$
2	Jordan Staal	X	X			100.00	77	38	85	68	90	86	90	67	87	69	66	86	65	90	94	43	61	0	0	36	1	6,000,000$
3	Riley Nash	X		X		100.00	69	39	78	63	75	83	80	62	70	61	59	65	62	79	77	42	58	0	0	35	2	775,000$
4	Ryan Nugent-Hopkins (A)	X	X			100.00	66	38	86	82	76	92	90	80	76	87	78	82	79	82	74	71	61	0	0	31	5	6,250,000$
5	Ryan Reaves			X		100.00	86	89	76	65	86	73	83	63	56	59	60	61	58	86	77	22	68	0	0	37	1	1,050,000$
6	Mikael Granlund	X	X	X		99.00	69	33	89	74	67	90	88	77	76	81	65	80	71	82	73	53	61	0	0	32	1	3,750,000$
7	Tomas Hertl	X	X			99.00	71	37	85	77	86	90	85	76	86	79	75	71	78	79	73	65	50	0	0	30	2	5,500,000$
8	Elias Lindholm	X		X		100.00	71	39	92	76	80	90	89	75	86	79	72	89	77	80	73	70	61	0	0	29	3	3,850,000$
9	Joseph Blandisi		X			100.00	62	43	67	64	71	82	84	62	72	65	63	60	64	70	72	39	38	0	0	30	3	999,999$
10	Teuvo Teravainen	X	X	X		100.00	57	34	95	76	71	89	87	74	60	75	73	78	74	77	73	66	61	0	0	30	3	4,750,000$
11	Brandon Tanev	X	X	X		99.00	80	66	79	74	72	84	88	67	54	66	65	93	64	76	75	26	51	0	0	32	2	3,500,000$
12	Ross Colton	X	X	X		100.00	78	44	78	74	73	82	90	72	82	70	69	63	72	69	71	49	61	0	0	28	1	700,000$
13	Jake McCabe				X	100.00	83	58	76	68	80	91	88	65	30	76	63	85	53	76	73	57	61	0	0	30	2	4,000,000$
14	Darnell Nurse				X	100.00	77	82	73	74	89	93	90	70	30	77	71	90	57	75	72	70	65	0	0	29	3	10,400,000$
15	Ben Hutton				X	100.00	63	40	90	67	84	87	73	65	30	72	62	64	54	75	71	43	43	0	0	31	3	800,000$
16	Samuel Girard				X	100.00	70	33	94	74	64	91	85	70	30	78	62	81	54	69	67	69	47	0	0	26	2	5,000,000$
17	Jonas Siegenthaler				X	100.00	73	37	85	67	84	90	86	63	30	72	56	84	49	69	70	59	61	0	0	27	1	800,000$
18	Evan Bouchard				X	100.00	70	36	89	77	82	91	90	79	30	86	73	65	63	67	72	83	61	0	0	24	4	3,500,000$
19	Nikita Novikov (R)				X	100.00	74	41	79	59	83	63	71	56	30	60	53	58	46	61	63	49	55	0	0	21	1	867,500$
Rayé
1	Matt Duchene	X	X	X		72.23	61	36	89	81	79	88	89	79	85	80	76	67	81	87	78	53	47	0	0	33	1	8,000,000$
2	Jon Merrill				X	86.43	65	37	84	62	84	82	86	59	30	69	58	70	49	78	72	46	45	0	0	32	1	925,000$
3	Simon Edvinsson				X	87.63	81	43	73	66	94	85	84	64	30	61	63	65	52	61	63	88	45	0	0	21	2	925,000$
Équipe Mineure
1	Wayne Simmonds		X	X		100.00	40	35	40	63	35	80	90	40	20	40	40	40	30	88	76	11	50	0	0	36	3	1,999,999$
2	Derek Stepan	X		X		100.00	40	35	40	64	35	80	90	40	20	40	40	40	30	84	73	11	47	0	0	34	3	750,000$
3	Jonathan Dahlen		X			100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	26	2	750,000$
4	Jacob Perreault (R)			X		100.00	62	42	68	60	71	76	77	59	60	58	57	56	59	62	64	80	50	0	0	22	1	925,000$
5	Wade Allison			X		100.00	78	60	77	62	81	84	82	59	57	56	61	63	59	68	69	61	41	0	0	26	2	925,000$
6	Logan Hutsko (R)			X		100.00	40	35	40	61	35	80	90	40	20	40	40	40	30	64	66	11	50	0	0	25	1	892,500$
7	Filip Cederqvist (R)		X			100.00	74	40	84	58	83	78	80	57	54	56	56	59	55	64	66	53	50	0	0	24	1	850,000$
8	Josh Doan (R)			X		100.00	64	37	88	69	74	86	76	67	60	66	72	63	69	62	68	76	43	0	0	22	1	925,000$
9	Logan Morrison (R)	X				100.00	61	36	95	63	70	82	72	62	71	60	58	66	63	62	64	53	50	0	0	22	1	870,000$
10	Stephen Halliday (R)	X				100.00	77	39	94	62	86	71	60	58	74	65	50	61	54	63	64	62	50	0	0	22	1	950,000$
11	Viktor Neuchev (R)		X			100.00	64	37	95	58	73	79	70	56	62	59	57	55	58	61	63	66	50	0	0	20	1	870,000$
12	Danny DeKeyser				X	100.00	40	35	40	62	35	80	90	40	20	40	40	40	30	76	72	11	47	0	0	34	3	999,999$

	MOYENNE D’ÉQUIPE					98.33	66	44	77	67	73	83	84	63	51	65	61	66	57	72	70	50	53	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jonathan Quick	100.00	77	99	77	80	78	77	77	77	78	65	89	93	92	47	62	0	0	38	5	825,000$
2	Joonas Korpisalo	99.00	81	97	83	81	82	82	82	82	83	70	90	74	84	54	52	0	0	30	2	1,300,000$
Rayé
Équipe Mineure
1	Kevin Poulin	100.00	40	90	80	50	40	40	40	40	40	40	40	73	87	11	50	0	0	34	3	750,000$
2	Landon Bow	100.00	40	90	80	50	40	40	40	40	40	40	40	25	25	11	50	0	0	29	1	700,000$

	MOYENNE D’ÉQUIPE	99.75	60	94	80	65	60	60	60	60	60	54	65	66	72	31	54	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andre Tourigny	87	80	85	80	75	70	76	CAN	50	3	3,300,000$

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Elias Lindholm	Toronto Maple Leafs	C/RW	24	14	22	36	15	12	0	39	52	111	26	61	12.61%	8	475	19.82	3	3	6	20	71	0	0	0	0	12	4	1	54.91%	652	1	1.51	1	2	0	4	1	3
2	Ryan Nugent-Hopkins	Toronto Maple Leafs	C/LW	24	15	14	29	16	6	0	40	40	92	30	54	16.30%	5	499	20.83	2	3	5	18	71	0	1	1	2	30	3	1	47.95%	73	0	1.16	0	2	0	4	4	0
3	Mikael Granlund	Toronto Maple Leafs	C/LW/RW	24	7	15	22	6	16	0	43	56	79	13	53	8.86%	5	510	21.27	3	2	5	15	72	0	1	1	1	40	0	1	50.00%	50	0	0.86	1	2	0	1	1	1
4	Teuvo Teravainen	Toronto Maple Leafs	C/LW/RW	24	9	12	21	5	0	0	10	42	93	32	67	9.68%	7	467	19.49	1	4	5	12	73	0	0	0	0	0	2	1	40.00%	25	0	0.90	1	2	0	1	1	0
5	Tomas Hertl	Toronto Maple Leafs	C/LW	22	8	10	18	7	10	0	50	45	70	22	43	11.43%	2	447	20.33	2	4	6	13	68	0	0	0	3	29	1	1	49.66%	580	0	0.81	1	2	0	0	2	2
6	Matt Duchene	Toronto Maple Leafs	C/LW/RW	22	4	12	16	14	10	0	10	30	70	15	45	5.71%	3	424	19.31	0	2	2	10	62	0	0	0	0	5	0	0	52.00%	50	0	0.75	0	2	0	0	1	1
7	Jordan Staal	Toronto Maple Leafs	C/LW	24	3	12	15	6	10	0	22	66	47	17	35	6.38%	12	371	15.49	0	1	1	0	5	0	1	1	1	96	2	0	55.89%	526	0	0.81	0	0	0	1	0	0
8	Samuel Girard	Toronto Maple Leafs	D	21	7	7	14	3	12	0	20	20	21	5	14	33.33%	23	444	21.16	3	4	7	12	58	0	0	0	0	61	1	1	0%	0	0	0.63	0	0	0	1	1	1
9	Evan Bouchard	Toronto Maple Leafs	D	24	2	12	14	-4	10	0	19	24	22	16	15	9.09%	20	510	21.25	1	6	7	14	74	0	0	0	0	24	0	0	0%	0	0	0.55	0	0	0	0	1	1
10	Jake McCabe	Toronto Maple Leafs	D	24	7	6	13	7	24	0	53	23	35	9	20	20.00%	49	557	23.24	3	2	5	18	71	1	0	1	2	73	0	0	0%	0	0	0.47	0	0	0	2	0	0
11	Darnell Nurse	Toronto Maple Leafs	D	27	3	9	12	1	34	0	60	30	19	9	7	15.79%	39	471	17.45	0	0	0	0	0	0	0	0	0	98	0	0	0%	0	0	0.51	0	0	0	0	0	1
12	Jonas Siegenthaler	Toronto Maple Leafs	D	24	1	9	10	3	20	0	41	18	17	5	8	5.88%	37	479	19.97	0	0	0	0	1	1	1	2	1	70	0	0	0%	0	0	0.42	0	0	0	0	1	0
13	Brandon Tanev	Toronto Maple Leafs	C/LW/RW	24	5	3	8	6	16	0	32	28	53	10	35	9.43%	10	346	14.43	0	0	0	0	0	0	0	0	1	84	1	0	26.09%	23	0	0.46	0	0	0	0	0	0
14	Ross Colton	Toronto Maple Leafs	C/LW/RW	24	4	4	8	4	12	0	24	11	33	6	19	12.12%	1	254	10.60	0	1	1	1	6	0	0	0	0	0	0	0	52.63%	38	0	0.63	0	2	0	0	0	1
15	Jon Merrill	Toronto Maple Leafs	D	21	1	6	7	15	2	0	8	9	9	2	5	11.11%	20	386	18.43	0	1	1	1	2	0	0	0	0	65	0	0	0%	0	0	0.36	0	0	0	0	0	2
16	Simon Edvinsson	Toronto Maple Leafs	D	21	1	2	3	13	30	0	43	3	9	4	4	11.11%	12	370	17.67	0	0	0	5	60	0	0	0	0	5	0	0	0%	0	0	0.16	0	0	0	0	0	0
17	Ryan Reaves	Toronto Maple Leafs	RW	20	0	2	2	-2	11	5	16	2	8	3	12	0%	0	84	4.22	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0.47	0	0	1	0	0	0
18	Corey Perry	Toronto Maple Leafs	LW/RW	24	1	0	1	-5	2	0	7	11	20	5	12	5.00%	4	144	6.04	0	0	0	0	2	0	0	0	1	12	0	0	53.33%	15	0	0.14	0	2	0	0	0	0
19	Riley Nash	Toronto Maple Leafs	C/RW	23	0	1	1	-6	4	0	4	9	9	0	5	0%	0	109	4.78	0	0	0	0	0	0	0	0	0	1	0	0	44.85%	136	0	0.18	0	0	0	0	0	0
20	Ben Hutton	Toronto Maple Leafs	D	7	1	0	1	2	0	0	3	2	4	0	2	25.00%	3	109	15.61	1	0	1	3	20	0	0	0	0	8	0	0	0%	0	0	0.18	0	0	0	0	0	0
21	Joseph Blandisi	Toronto Maple Leafs	LW	3	0	0	0	0	0	0	0	0	0	2	1	0%	0	6	2.01	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
22	Wade Allison	Toronto Marlies (TOR)	RW	4	0	0	0	-4	2	0	4	0	2	0	2	0%	1	26	6.70	0	0	0	0	0	0	0	0	0	0	0	0	0%	2	0	0	0	0	0	0	0	0
23	Josh Doan	Toronto Marlies (TOR)	RW	1	0	0	0	-1	0	0	0	0	0	1	0	0%	0	7	7.02	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0
24	Nikita Novikov	Toronto Maple Leafs	D	3	0	0	0	1	0	0	6	0	0	0	1	0%	0	31	10.62	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				459	93	158	251	102	243	5	554	521	823	232	520	11.30%	261	7539	16.43	19	33	52	142	723	2	4	6	12	720	14	6	52.07%	2176	1	0.67	4	16	1	14	13	13

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	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Joonas Korpisalo	Toronto Maple Leafs	23	13	6	2	0.906	2.73	1277	2	58	614	1	1	0.625	16	22	2	2	1
2	Jonathan Quick	Toronto Maple Leafs	5	1	1	1	0.849	4.43	176	0	13	86	0	0	0	0	2	22	0	0
Statistiques d’équipe totales ou en moyenne			28	14	7	3	0.899	2.93	1453	2	71	700	1	1		16	24	24	2	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	Date de la Dernière Transaction	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
Ben Hutton	Toronto Maple Leafs	D	31	1993-04-20	CAN	No	201 Lbs	6 ft3	No	No	N/A		No	No	3		False	False	Pro & Farm	800,000$	556,345$	800,000$	556,345$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Brandon Tanev	Toronto Maple Leafs	C/LW/RW	32	1991-12-31	CAN	No	189 Lbs	6 ft0	No	No	Trade	2024-05-31	No	No	2	2024-05-19	False	False	Pro & Farm	3,500,000$	2,434,010$	3,500,000$	2,434,010$	No	3,500,000$	-	-	-	-	-	-	-	-	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Corey Perry	Toronto Maple Leafs	LW/RW	39	1985-07-28	CAN	No	208 Lbs	6 ft3	No	No	N/A		No	No	3		False	False	Pro Only	1,999,999$	1,390,862$	1,999,999$	1,390,862$	No	1,999,999$	1,999,999$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Darnell Nurse	Toronto Maple Leafs	D	29	1995-02-04	CAN	No	215 Lbs	6 ft4	No	No	Trade	2024-11-22	No	No	3	2024-05-19	False	False	Pro & Farm	10,400,000$	7,232,487$	10,400,000$	7,232,487$	No	10,400,000$	10,400,000$	-	-	-	-	-	-	-	10,400,000$	10,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Elias Lindholm	Toronto Maple Leafs	C/RW	29	1994-12-02	SWE	No	202 Lbs	6 ft1	No	No	Trade	2024-05-31	No	No	3		False	False	Pro & Farm	3,850,000$	2,677,411$	3,850,000$	2,677,411$	No	3,850,000$	3,850,000$	-	-	-	-	-	-	-	3,850,000$	3,850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Evan Bouchard	Toronto Maple Leafs	D	24	1999-10-20	CAN	No	192 Lbs	6 ft3	No	No	N/A		No	No	4	2024-05-19	False	False	Pro & Farm	3,500,000$	2,434,010$	3,500,000$	2,434,010$	No	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	-	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jake McCabe	Toronto Maple Leafs	D	30	1993-10-12	USA	No	211 Lbs	6 ft1	No	No	Trade	2024-05-31	No	No	2	2024-05-19	False	False	Pro & Farm	4,000,000$	2,781,726$	4,000,000$	2,781,726$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jon Merrill (sur la masse salariale)	Toronto Maple Leafs	D	32	1992-02-03	USA	No	204 Lbs	6 ft3	No	No	Trade	2024-09-16	No	No	1		False	False	Pro & Farm	925,000$	643,274$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jonas Siegenthaler	Toronto Maple Leafs	D	27	1997-05-06	CHE	No	218 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	800,000$	556,345$	800,000$	556,345$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jonathan Quick	Toronto Maple Leafs	G	38	1986-01-21	USA	No	215 Lbs	6 ft1	No	No	Trade	2024-01-02	No	No	5	2024-05-19	False	False	Pro & Farm	825,000$	573,731$	825,000$	573,731$	No	825,000$	825,000$	825,000$	825,000$	-	-	-	-	-	825,000$	825,000$	825,000$	825,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Joonas Korpisalo	Toronto Maple Leafs	G	30	1994-04-28	FIN	No	189 Lbs	6 ft3	No	No	Trade	2024-09-14	No	No	2		False	False	Pro & Farm	1,300,000$	904,061$	1,300,000$	904,061$	No	1,300,000$	-	-	-	-	-	-	-	-	1,300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jordan Staal	Toronto Maple Leafs	C/LW	36	1988-07-27	CAN	No	220 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	6,000,000$	4,172,589$	6,000,000$	4,172,589$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Joseph Blandisi	Toronto Maple Leafs	LW	30	1994-07-18	CAN	No	184 Lbs	6 ft0	No	No	N/A		No	No	3		False	False	Pro & Farm	999,999$	695,431$	999,999$	695,431$	No	999,999$	999,999$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Matt Duchene (sur la masse salariale)	Toronto Maple Leafs	C/LW/RW	33	1991-07-28	CAN	No	210 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	8,000,000$	5,563,452$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mikael Granlund	Toronto Maple Leafs	C/LW/RW	32	1992-02-26	FIN	No	185 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	3,750,000$	2,607,868$	3,750,000$	2,607,868$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Nikita Novikov	Toronto Maple Leafs	D	21	2003-07-25	RUS	Yes	196 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2024-08-20	False	False	Pro & Farm	867,500$	603,287$	867,500$	603,287$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Riley Nash	Toronto Maple Leafs	C/RW	35	1989-05-09	CAN	No	187 Lbs	6 ft1	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	775,000$	538,959$	775,000$	538,959$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Ross Colton	Toronto Maple Leafs	C/LW/RW	28	1996-09-11	USA	No	194 Lbs	6 ft0	No	No	Trade	2024-02-19	No	No	1		False	False	Pro & Farm	700,000$	486,802$	700,000$	486,802$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Ryan Nugent-Hopkins	Toronto Maple Leafs	C/LW	31	1993-04-12	CAN	No	192 Lbs	6 ft1	No	No	N/A		No	No	5	2024-05-19	False	False	Pro & Farm	6,250,000$	4,346,447$	6,250,000$	4,346,447$	No	6,250,000$	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	6,250,000$	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Ryan Reaves	Toronto Maple Leafs	RW	37	1987-01-20	CAN	No	226 Lbs	6 ft2	No	No	Trade	2024-09-25	No	No	1		False	False	Pro & Farm	1,050,000$	730,203$	1,050,000$	730,203$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Samuel Girard	Toronto Maple Leafs	D	26	1998-05-12	CAN	No	170 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	5,000,000$	3,477,157$	5,000,000$	3,477,157$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Simon Edvinsson (sur la masse salariale)	Toronto Maple Leafs	D	21	2003-02-05	SWE	No	209 Lbs	6 ft6	No	No	N/A		No	No	2		False	False	Pro & Farm	925,000$	643,274$	0$	0$	Yes	925,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Teuvo Teravainen	Toronto Maple Leafs	C/LW/RW	30	1994-09-11	FIN	No	191 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	4,750,000$	3,303,299$	4,750,000$	3,303,299$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Tomas Hertl	Toronto Maple Leafs	C/LW	30	1993-11-12	CZE	No	215 Lbs	6 ft3	No	No	Trade	2024-02-19	No	No	2		False	False	Pro Only	5,500,000$	3,824,873$	5,500,000$	3,824,873$	No	5,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	30.46	201 Lbs	6 ft2	2.25	3,186,146$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
76,467,498$	54,374,998$	33,374,998$	10,575,000$	7,075,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Ryan Nugent-Hopkins	Elias Lindholm	Brandon Tanev	35	0	1	4
2	Teuvo Teravainen	Tomas Hertl	Mikael Granlund	35	0	1	4
3	Corey Perry	Jordan Staal	Ross Colton	23	1	3	1
4	Brandon Tanev	Riley Nash	Ryan Reaves	7	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake McCabe	Evan Bouchard	40	1	2	2
2	Samuel Girard	Jonas Siegenthaler	40	1	2	2
3	Ben Hutton	Nikita Novikov	20	1	2	2
4	Jake McCabe	Jonas Siegenthaler	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Ryan Nugent-Hopkins	Elias Lindholm	Ross Colton	50	0	0	5
2	Teuvo Teravainen	Tomas Hertl	Mikael Granlund	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake McCabe	Evan Bouchard	60	0	1	4
2	Ben Hutton	Samuel Girard	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jordan Staal	Brandon Tanev	60	0	4	1
2	Tomas Hertl	Mikael Granlund	40	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Samuel Girard	Jonas Siegenthaler	50	1	4	0
2	Jake McCabe	Ben Hutton	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Tomas Hertl	50	0	5	0	Evan Bouchard	Jonas Siegenthaler	50	0	5	0
2	Jordan Staal	50	0	5	0	Jake McCabe	Ben Hutton	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Elias Lindholm	Mikael Granlund	50	0	2	3
2	Ryan Nugent-Hopkins	Teuvo Teravainen	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jonas Siegenthaler	Evan Bouchard	50	0	3	2
2	Samuel Girard	Jake McCabe	50	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Nugent-Hopkins	Elias Lindholm	Mikael Granlund	Evan Bouchard	Samuel Girard

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Nugent-Hopkins	Tomas Hertl	Mikael Granlund	Evan Bouchard	Jake McCabe

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mikael Granlund, Teuvo Teravainen, Ryan Nugent-Hopkins	Teuvo Teravainen, Mikael Granlund	Ryan Nugent-Hopkins

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Evan Bouchard, Jonas Siegenthaler, Samuel Girard	Evan Bouchard	Jonas Siegenthaler, Evan Bouchard

Tirs de pénalité
Mikael Granlund, Ryan Nugent-Hopkins, Tomas Hertl, Elias Lindholm, Teuvo Teravainen

Gardien
#1 : Joonas Korpisalo, #2 : Jonathan Quick

Lignes d’attaque personnalisées en prolongation
Ryan Nugent-Hopkins, Mikael Granlund, Elias Lindholm, Tomas Hertl, Teuvo Teravainen, Brandon Tanev, Brandon Tanev, Jordan Staal, Ross Colton, Corey Perry, Riley Nash

Lignes de défense personnalisées en prolongation
Evan Bouchard, Samuel Girard, Jonas Siegenthaler, Jake McCabe, Ben Hutton

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	2	0	1	0	0	0	0	1	3	6	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	3	6	9	1	0	1	2	0	2	54	16	23	12	11	50	18	22	39	7	2	28.57%	10	1	90.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	48	32	50	15	26	13
2	Chicago Blackhawks	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	11	18	0	0	2	2	3	0	28	10	10	8	0	26	4	8	30	7	3	42.86%	4	0	100.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	24	16	22	7	13	7
3	Columbus Blue Jackets	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	0	0	1	2	25	4	8	10	11	29	5	4	18	7	1	14.29%	2	0	100.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	26	18	25	7	12	6
4	Detroit Red Wings	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	1	2	1	0	37	14	11	12	0	30	4	8	23	2	0	0.00%	4	3	25.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	25	18	22	6	12	5
5	Edmonton Oilers	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	11	19	0	0	2	4	2	0	53	11	23	19	0	22	13	8	24	4	1	25.00%	4	1	75.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	28	20	19	6	11	6
6	Florida Panthers	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	1	1	2	0	48	17	14	17	0	28	8	4	21	3	0	0.00%	1	0	100.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	29	22	18	5	11	6
7	Los Angeles Kings	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	25	7	11	7	0	38	15	16	20	2	1	50.00%	8	2	75.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	21	14	25	6	13	6
8	Minnesota Wild	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	0	0	2	0	41	7	15	19	0	33	10	4	20	7	1	14.29%	2	1	50.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	25	17	23	7	11	5
9	Montreal Canadiens	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	9	13	22	0	0	5	1	3	0	64	18	28	18	0	68	14	18	47	7	1	14.29%	8	3	62.50%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	48	32	44	15	27	13
10	New Jersey Devils	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	5	8	0	0	1	1	1	0	43	17	16	8	2	25	7	14	17	6	1	16.67%	6	2	66.67%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	26	18	22	7	12	6
11	New York Rangers	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	3	1	0	0	34	12	8	14	0	33	8	14	24	2	0	0.00%	6	0	100.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	22	15	25	7	12	5
12	Ottawa Senators	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	0	3	0	36	17	8	11	0	36	14	8	19	3	0	0.00%	4	1	75.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	22	14	24	7	13	6
13	Pittsburgh Penguins	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	0	3	0	0	35	15	9	11	0	27	15	6	16	5	1	20.00%	3	0	100.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	23	16	25	8	11	5
14	Seattle Kraken	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	7	12	0	0	2	2	1	0	33	12	6	15	0	28	12	6	19	3	1	33.33%	2	1	50.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	26	19	21	7	11	5
15	St. Louis Blues	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	11	17	0	0	2	4	0	0	54	21	25	8	0	54	20	16	35	6	1	16.67%	8	1	87.50%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	51	35	44	15	24	12
16	Tampa Bay Lightning	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	12	19	0	0	3	3	1	0	62	20	26	16	0	52	20	14	49	5	1	20.00%	6	2	66.67%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	51	36	43	14	25	12
17	Utah Hockey Club	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	2	1	0	0	34	19	9	6	0	35	9	8	20	3	1	33.33%	4	1	75.00%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	25	18	23	6	11	5
18	Vegas Golden Knights	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	1	1	1	0	31	9	15	7	0	27	10	11	20	4	0	0.00%	3	1	66.67%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	27	20	19	6	12	6
19	Washington Capitals	1	0	0	0	1	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	7	6	1	2	1.000	7	12	19	0	0	1	1	4	1	44	12	15	15	2	31	7	6	16	4	1	25.00%	3	0	100.00%	1	485	916	52.95%	419	829	50.54%	229	404	56.68%	26	19	23	7	14	6
20	Winnipeg Jets	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	7	12	0	0	2	2	1	0	23	7	5	11	0	29	9	16	17	3	2	66.67%	8	1	87.50%	1	485	916	52.95%	419	829	50.54%	229	404	56.68%	22	14	24	7	13	6
	Total	24	13	7	0	1	1	0	2	90	74	16	14	9	4	0	0	0	0	1	58	42	16	10	4	3	0	1	1	0	1	32	32	0	31	0.646	90	149	239	1	0	31	31	27	5	804	265	285	244	26	701	222	211	494	90	19	21.11%	96	21	78.13%	2	485	916	52.95%	419	829	50.54%	229	404	56.68%	604	423	549	174	302	152
	_Since Last GM Reset	24	13	7	0	1	1	0	2	90	74	16	14	9	4	0	0	0	0	1	58	42	16	10	4	3	0	1	1	0	1	32	32	0	31	0.646	90	149	239	1	0	31	31	27	5	804	265	285	244	26	701	222	211	494	90	19	21.11%	96	21	78.13%	2	485	916	52.95%	419	829	50.54%	229	404	56.68%	604	423	549	174	302	152
	_Vs Conference	14	6	4	0	1	1	0	2	50	50	0	7	4	2	0	0	0	0	1	28	24	4	7	2	2	0	1	1	0	1	22	26	-4	17	0.607	50	87	137	1	0	18	15	16	5	482	162	166	144	26	409	120	118	289	51	8	15.69%	53	12	77.36%	1	485	916	52.95%	419	829	50.54%	229	404	56.68%	351	246	324	103	180	89
	_Vs Division	9	5	3	0	0	0	0	1	32	32	0	5	3	1	0	0	0	0	1	21	18	3	4	2	2	0	0	0	0	0	11	14	-3	11	0.611	32	56	88	1	0	13	9	10	2	301	102	110	86	11	264	78	74	198	27	4	14.81%	33	10	69.70%	0	485	916	52.95%	419	829	50.54%	229	404	56.68%	225	157	203	64	116	57

			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
24	31	W4	90	149	239	804	701	222	211	494	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	13	7	1	1	0	2	90	74

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	9	4	0	0	0	1	58	42

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	3	1	1	0	1	32	32

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	2	1	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
90	19	21.11%	96	21	78.13%	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
265	285	244	26	31	31	27	5

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
485	916	52.95%	419	829	50.54%	229	404	56.68%

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
604	423	549	174	302	152

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	SO	Lien
6	6	Toronto Maple Leafs	4	Montreal Canadiens	7	L			Sommaire du match
7	15	Toronto Maple Leafs	3	New Jersey Devils	4	L	X		Sommaire du match
9	26	Pittsburgh Penguins	4	Toronto Maple Leafs	3	L			Sommaire du match
13	58	Los Angeles Kings	6	Toronto Maple Leafs	1	L			Sommaire du match
16	79	New York Rangers	2	Toronto Maple Leafs	4	W			Sommaire du match
18	91	Tampa Bay Lightning	2	Toronto Maple Leafs	5	W			Sommaire du match
19	97	Toronto Maple Leafs	1	Columbus Blue Jackets	2	L	X	X	Sommaire du match
21	110	St. Louis Blues	1	Toronto Maple Leafs	3	W			Sommaire du match
23	125	Toronto Maple Leafs	1	Boston Bruins	3	L			Sommaire du match
25	143	Toronto Maple Leafs	5	Winnipeg Jets	2	W			Sommaire du match
28	161	Seattle Kraken	3	Toronto Maple Leafs	5	W			Sommaire du match
30	181	Toronto Maple Leafs	3	St. Louis Blues	1	W			Sommaire du match
31	189	Toronto Maple Leafs	2	Minnesota Wild	3	L			Sommaire du match
33	195	Boston Bruins	3	Toronto Maple Leafs	2	L	X	X	Sommaire du match
36	220	Detroit Red Wings	6	Toronto Maple Leafs	4	L			Sommaire du match
37	227	Montreal Canadiens	3	Toronto Maple Leafs	5	W			Sommaire du match
40	245	Ottawa Senators	4	Toronto Maple Leafs	5	W			Sommaire du match
41	253	Toronto Maple Leafs	7	Washington Capitals	6	W	X		Sommaire du match
44	274	Edmonton Oilers	1	Toronto Maple Leafs	8	W			Sommaire du match
48	301	Vegas Golden Knights	4	Toronto Maple Leafs	3	L			Sommaire du match
52	333	Utah Hockey Club	2	Toronto Maple Leafs	3	W			Sommaire du match
55	352	Toronto Maple Leafs	4	Florida Panthers	3	W			Sommaire du match
58	378	Toronto Maple Leafs	2	Tampa Bay Lightning	1	W			Sommaire du match
60	394	Chicago Blackhawks	1	Toronto Maple Leafs	7	W			Sommaire du match
62	406	Nashville Predators	-	Toronto Maple Leafs	-
64	419	Washington Capitals	-	Toronto Maple Leafs	-
65	433	Toronto Maple Leafs	-	Pittsburgh Penguins	-
68	446	Toronto Maple Leafs	-	New Jersey Devils	-
70	459	Anaheim Ducks	-	Toronto Maple Leafs	-
72	479	Toronto Maple Leafs	-	Detroit Red Wings	-
73	490	Buffalo Sabres	-	Toronto Maple Leafs	-
76	508	Toronto Maple Leafs	-	Dallas Stars	-
78	521	Toronto Maple Leafs	-	Buffalo Sabres	-
79	532	New York Islanders	-	Toronto Maple Leafs	-
81	546	Winnipeg Jets	-	Toronto Maple Leafs	-
85	559	Toronto Maple Leafs	-	Detroit Red Wings	-
86	571	Washington Capitals	-	Toronto Maple Leafs	-
89	590	New York Islanders	-	Toronto Maple Leafs	-
91	607	Toronto Maple Leafs	-	New York Islanders	-
93	623	Boston Bruins	-	Toronto Maple Leafs	-
94	635	Philadelphia Flyers	-	Toronto Maple Leafs	-
96	644	Toronto Maple Leafs	-	Philadelphia Flyers	-
98	659	Toronto Maple Leafs	-	Carolina Hurricanes	-
100	672	Vancouver Canucks	-	Toronto Maple Leafs	-
103	693	Dallas Stars	-	Toronto Maple Leafs	-
105	707	New Jersey Devils	-	Toronto Maple Leafs	-
107	726	Toronto Maple Leafs	-	Montreal Canadiens	-
109	744	Tampa Bay Lightning	-	Toronto Maple Leafs	-
111	757	Columbus Blue Jackets	-	Toronto Maple Leafs	-
114	780	Toronto Maple Leafs	-	Ottawa Senators	-
118	807	Minnesota Wild	-	Toronto Maple Leafs	-
121	833	Toronto Maple Leafs	-	Edmonton Oilers	-
124	853	Toronto Maple Leafs	-	Calgary Flames	-
126	869	Toronto Maple Leafs	-	Seattle Kraken	-
128	884	Toronto Maple Leafs	-	Vancouver Canucks	-
142	900	Carolina Hurricanes	-	Toronto Maple Leafs	-
143	912	Toronto Maple Leafs	-	Chicago Blackhawks	-
145	918	Toronto Maple Leafs	-	Boston Bruins	-
148	945	Toronto Maple Leafs	-	New York Rangers	-
150	961	Toronto Maple Leafs	-	Pittsburgh Penguins	-
151	971	San Jose Sharks	-	Toronto Maple Leafs	-
153	985	Toronto Maple Leafs	-	Vegas Golden Knights	-
156	1007	Toronto Maple Leafs	-	Colorado Avalanche	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158	1024	Toronto Maple Leafs	-	Utah Hockey Club	-
161	1040	Florida Panthers	-	Toronto Maple Leafs	-
163	1059	Ottawa Senators	-	Toronto Maple Leafs	-
165	1076	Calgary Flames	-	Toronto Maple Leafs	-
167	1087	Colorado Avalanche	-	Toronto Maple Leafs	-
168	1091	Toronto Maple Leafs	-	New York Rangers	-
170	1114	Toronto Maple Leafs	-	Nashville Predators	-
173	1130	Philadelphia Flyers	-	Toronto Maple Leafs	-
175	1152	Toronto Maple Leafs	-	San Jose Sharks	-
177	1165	Toronto Maple Leafs	-	Los Angeles Kings	-
178	1176	Toronto Maple Leafs	-	Anaheim Ducks	-
181	1194	Florida Panthers	-	Toronto Maple Leafs	-
184	1216	Columbus Blue Jackets	-	Toronto Maple Leafs	-
187	1237	Toronto Maple Leafs	-	Florida Panthers	-
188	1245	Toronto Maple Leafs	-	Tampa Bay Lightning	-
191	1269	Montreal Canadiens	-	Toronto Maple Leafs	-
192	1279	Toronto Maple Leafs	-	Carolina Hurricanes	-
194	1292	Toronto Maple Leafs	-	Buffalo Sabres	-
196	1308	Detroit Red Wings	-	Toronto Maple Leafs	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6200	5600	4000	4000	1200
Prix des billets	90	55	40	30	230
Assistance	85,244	74,196	36,486	43,036	12,161
Attendance PCT	98.21%	94.64%	65.15%	76.85%	72.39%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
27	17937 - 85.42%	1,804,173$	25,258,424$	21000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
23,047,491$	68,467,498$	65,627,020$	3,300,000$0$	2,550,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
338,160$	21,981,382$	0$	21	3

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
48,712,675$	137	364,302$	49,909,374$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
50,818,162$	70,932,529$	71,148,504$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
70,859,302$	12,640,698$	83,500,000$	9,159,302$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Ryan Nugent-Hopkins	AGE:31	PO:71	OV:0
Teuvo Teravainen	AGE:30	PO:66	OV:0
Viktor Neuchev (R)	AGE:20	PO:66	OV:0
Tomas Hertl	AGE:30	PO:65	OV:0
Matt Duchene	AGE:33	PO:53	OV:0
Mikael Granlund	AGE:32	PO:53	OV:0
Filip Cederqvist (R)	AGE:24	PO:53	OV:0
Ross Colton	AGE:28	PO:49	OV:0
Jordan Staal	AGE:36	PO:43	OV:0
Joseph Blandisi	AGE:30	PO:39	OV:0
Corey Perry	AGE:39	PO:31	OV:0
Brandon Tanev	AGE:32	PO:26	OV:0
Wayne Simmonds	AGE:36	PO:11	OV:0
Jonathan Dahlen	AGE:26	PO:11	OV:0

Ryan Nugent-Hopkins	AGE:31	PO:71	OV:0
Elias Lindholm	AGE:29	PO:70	OV:0
Teuvo Teravainen	AGE:30	PO:66	OV:0
Tomas Hertl	AGE:30	PO:65	OV:0
Stephen Halliday (R)	AGE:22	PO:62	OV:0
Matt Duchene	AGE:33	PO:53	OV:0
Mikael Granlund	AGE:32	PO:53	OV:0
Logan Morrison (R)	AGE:22	PO:53	OV:0
Ross Colton	AGE:28	PO:49	OV:0
Jordan Staal	AGE:36	PO:43	OV:0
Riley Nash	AGE:35	PO:42	OV:0
Brandon Tanev	AGE:32	PO:26	OV:0
Derek Stepan	AGE:34	PO:11	OV:0

Jacob Perreault (R)	AGE:22	PO:80	OV:0
Josh Doan (R)	AGE:22	PO:76	OV:0
Elias Lindholm	AGE:29	PO:70	OV:0
Teuvo Teravainen	AGE:30	PO:66	OV:0
Wade Allison	AGE:26	PO:61	OV:0
Matt Duchene	AGE:33	PO:53	OV:0
Mikael Granlund	AGE:32	PO:53	OV:0
Ross Colton	AGE:28	PO:49	OV:0
Riley Nash	AGE:35	PO:42	OV:0
Corey Perry	AGE:39	PO:31	OV:0
Brandon Tanev	AGE:32	PO:26	OV:0
Ryan Reaves	AGE:37	PO:22	OV:0
Wayne Simmonds	AGE:36	PO:11	OV:0
Derek Stepan	AGE:34	PO:11	OV:0
Logan Hutsko (R)	AGE:25	PO:11	OV:0

Défense #1

Défense #2

Gardien

Simon Edvinsson	AGE:21	PO:88	OV:0
Evan Bouchard	AGE:24	PO:83	OV:0
Darnell Nurse	AGE:29	PO:70	OV:0
Samuel Girard	AGE:26	PO:69	OV:0
Jonas Siegenthaler	AGE:27	PO:59	OV:0

Jake McCabe	AGE:30	PO:57	OV:0
Nikita Novikov (R)	AGE:21	PO:49	OV:0
Jon Merrill	AGE:32	PO:46	OV:0
Ben Hutton	AGE:31	PO:43	OV:0
Danny DeKeyser	AGE:34	PO:11	OV:0

Joonas Korpisalo	AGE:30	PO:54	OV:0
Jonathan Quick	AGE:38	PO:47	OV:0
Kevin Poulin	AGE:34	PO:11	OV:0
Landon Bow	AGE:29	PO:11	OV:0

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	Information	Date de la Dernière Transaction	Lien
Aatu Jamsen	Toronto Maple Leafs	0	0
Aku Raty	Toronto Maple Leafs	0	0
Antti Tuomisto	Toronto Maple Leafs	0	0
Dereck Baribeau	Toronto Maple Leafs	0	0
Domenick Fensore	Toronto Maple Leafs	0	0
Eli Zummack	Toronto Maple Leafs	0	0
Elmeri Laakso	Toronto Maple Leafs	0	0
German Rubtsov	Toronto Maple Leafs	0	0
Hugo Leufvenius	Toronto Maple Leafs	0	0
Hugo Ollas	Toronto Maple Leafs	0	0
Jack Randl	Toronto Maple Leafs	0	0
Jayden Halbgewachs	Toronto Maple Leafs	0	0
Jere Lassila	Toronto Maple Leafs	0	0
Jeremy McKenna	Toronto Maple Leafs	0	0
Joey Keane	Toronto Maple Leafs	0	0
Jonathan Dahlen	Toronto Maple Leafs	0	0
Kirill Kirsanov	Toronto Maple Leafs	0	0
Kyle Topping	Toronto Maple Leafs	0	0
Libor Nemec	Toronto Maple Leafs	0	0
Lucas Feuk	Toronto Maple Leafs	0	0
Ludvig Persson	Toronto Maple Leafs	0	0
Ludviq Hedstrom	Toronto Maple Leafs	0	0
Marcus Westfalt	Toronto Maple Leafs	0	0
Massimo Rizzo	Toronto Maple Leafs	0	0
Maxim Mayorov	Toronto Maple Leafs	0	0
Nikita Buruyanov	Toronto Maple Leafs	0	0
Nikita Guslistov	Toronto Maple Leafs	0	0
Niko Huuhtanen	Toronto Maple Leafs	0	0
Oliver Moberg	Toronto Maple Leafs	0	0
Roddy Ross	Toronto Maple Leafs	0	0
Ryan O'Reilly	Toronto Maple Leafs	0	0
Toni Utunen	Toronto Maple Leafs	0	0
Valtteri Karnaranta	Toronto Maple Leafs	0	0
Wade Allison	Toronto Maple Leafs	0	0
Zachary Émond	Toronto Maple Leafs	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22	TOR	STL	NAS	CBJ NAS TAM TOR	PIT TAM	CBJ TOR	TAM DET
23	TOR	TOR	TOR	TOR	TOR	TOR	TOR
24	TOR	TOR	TOR	TOR	TOR	TOR	TOR
25	TOR	TOR	TOR	TOR	TOR	TOR	TOR
26	TOR	TOR	TOR	TOR	TOR	TOR	TOR
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Toronto Maple Leafs Historique de transactions

[11/22/2024 7:32:21 AM] - TRADE : From Carolina Hurricanes to Toronto Maple Leafs : $1 (Money).
[11/22/2024 7:32:21 AM] - TRADE : From Toronto Maple Leafs to Carolina Hurricanes : Matt Murray, Y:22-RND:5-TOR.
[11/22/2024 7:31:36 AM] - TRADE : From San Jose Sharks to Toronto Maple Leafs : Darnell Nurse.
[11/22/2024 7:31:36 AM] - TRADE : From Toronto Maple Leafs to San Jose Sharks : Y:22-RND:2-TOR, Y:22-RND:3-TOR.
[10/23/2024 8:16:34 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Y:22-RND:3-NAS.
[10/23/2024 8:16:34 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Y:22-RND:3-STL.
[9/25/2024 8:25:30 PM] - TRADE : From San Jose Sharks to Toronto Maple Leafs : Ryan Reaves.
[9/25/2024 8:25:30 PM] - TRADE : From Toronto Maple Leafs to San Jose Sharks : Y:22-RND:7-TOR.
[9/16/2024 5:24:15 PM] - TRADE : From Vancouver Canucks to Toronto Maple Leafs : Jon Merrill.
[9/16/2024 5:24:15 PM] - TRADE : From Toronto Maple Leafs to Vancouver Canucks : Y:22-RND:6-DET.
[9/14/2024 10:31:42 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Joonas Korpisalo.
[9/14/2024 10:31:42 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Dennis Hildeby, Y:22-RND:3-NAS, Y:22-RND:4-DET.
[9/13/2024 11:12:05 PM] - Toronto Maple Leafs hired Andre Tourigny for $3,300,000 for 3 year(s).
[9/12/2024 10:00:08 PM] - Joey Keane was released.
[9/12/2024 10:00:08 PM] - Toronto Maple Leafs paid $0 to release Joey Keane.
[9/12/2024 9:59:55 PM] - Dylan Sikura was released.
[9/12/2024 9:59:55 PM] - Toronto Maple Leafs paid $0 to release Dylan Sikura.
[9/12/2024 9:59:47 PM] - Mike Smith was released.
[9/12/2024 9:59:47 PM] - Toronto Maple Leafs paid $0 to release Mike Smith.
[9/12/2024 9:59:38 PM] - Patric Hornqvist was released.
[9/12/2024 9:59:38 PM] - Toronto Maple Leafs paid $0 to release Patric Hornqvist.
[8/20/2024 8:51:15 PM] - Viktor Neuchev has been deleted from Toronto Maple Leafs.
[8/20/2024 8:51:12 PM] - Stephen Halliday has been deleted from Toronto Maple Leafs.
[8/20/2024 8:51:05 PM] - Nikita V. Novikov has been deleted from Toronto Maple Leafs.
[8/20/2024 8:50:58 PM] - Logan Morrison has been deleted from Toronto Maple Leafs.
[8/20/2024 8:50:45 PM] - Dennis Hildeby has been deleted from Toronto Maple Leafs.
[8/18/2024 1:11:52 PM] - Viktor Neuchev was added to Toronto Maple Leafs.
[8/18/2024 1:11:45 PM] - Stephen Halliday was added to Toronto Maple Leafs.
[8/18/2024 1:11:39 PM] - Nikita Novikov was added to Toronto Maple Leafs.
[8/18/2024 1:11:32 PM] - Logan Morrison was added to Toronto Maple Leafs.
[8/18/2024 1:11:25 PM] - Dennis Hildeby was added to Toronto Maple Leafs.

[11/22/2024 7:32:21 AM] TRADE : From Carolina Hurricanes to Toronto Maple Leafs : $1 (Money).
[11/22/2024 7:32:21 AM] TRADE : From Toronto Maple Leafs to Carolina Hurricanes : Matt Murray, Y:22-RND:5-TOR.
[11/22/2024 7:31:36 AM] TRADE : From San Jose Sharks to Toronto Maple Leafs : Darnell Nurse.
[11/22/2024 7:31:36 AM] TRADE : From Toronto Maple Leafs to San Jose Sharks : Y:22-RND:2-TOR, Y:22-RND:3-TOR.
[11/22/2024 7:30:44 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/20/2024 9:39:31 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/20/2024 9:39:08 AM] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:70.81.109.165 .
[11/18/2024 8:06:12 AM] Game 352 - Matt Duchene from Toronto Maple Leafs is injured (Broken Nose) and is out for 2 weeks.
[11/18/2024 8:06:01 AM] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:70.26.233.47 .
[11/18/2024 8:06:01 AM] Nikita Novikov of Toronto Maple Leafs was sent to pro.
[11/17/2024 9:45:47 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[11/15/2024 7:37:12 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/15/2024 7:37:12 AM] Game 333 - Jon Merrill from Toronto Maple Leafs is injured (Left Hand) and is out for 2 weeks.
[11/15/2024 7:37:12 AM] Game 333 - Simon Edvinsson from Toronto Maple Leafs is injured (Abdominal Strain) and is out for 2 weeks.
[11/12/2024 7:16:12 AM] Last 7 Days Pro Star : 1 - Cale Makar of Columbus Blue Jackets (3-7-10) / 2 - William Nylander of Anaheim Ducks (4-1-5) / 3 - Elias Lindholm of Toronto Maple Leafs (3-2-5)
[11/10/2024 9:14:39 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/8/2024 7:11:38 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[11/7/2024 7:20:52 AM] Samuel Girard from Toronto Maple Leafs is back from Bruised Right Shoulder Injury.
[11/7/2024 7:20:52 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[11/6/2024 7:20:45 AM] Pro Game #274 - Elias Lindholm from Toronto Maple Leafs has scored a Hat Trick!
[11/5/2024 7:14:40 AM] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[11/4/2024 7:14:20 AM] Last 7 Days Pro Star : 1 - Jack Eichel of Anaheim Ducks (5-3-8) / 2 - Jared McCann of Calgary Flames (5-1-6) / 3 - Mikael Granlund of Toronto Maple Leafs (2-6-8)

Matt Duchene est dehors pour 1 semaine à cause de Broken Nose Injury.
Jon Merrill est dehors pour 4 jours à cause de Left Hand Injury.
Simon Edvinsson est dehors pour 4 jours à cause de Abdominal Strain Injury.

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: 24 \| W: 14 \| L: 7 \| OTL: 3 \| P: 31 GF: 90 \| GA: 74 \| PP%: 21.11% \| PK%: 78.13% DG: Nick Fournier \| Morale : 55 \| Moyenne d’équipe : N/A Prochains matchs #406 vs Nashville Predators