Toronto Marlies
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Formation
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Informations joueurs
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Statistiques d’équipe
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Centre de jeu
	Toronto Maple Leafs 14-2-2, 30pts	3	FINAL	2	Minnesota Wild 8-10-0, 16pts

Team Stats
W6	Streak	L2
8-0-1	Home Record	5-4-0
6-2-1	Away Record	3-6-0
9-0-1	Last 10 Games	4-6-0
3.11	Buts par match	2.39
2.11	Buts contre par match	2.72
14.29%	Pourcentage en avantage numérique	20.00%
88.24%	Pourcentage en désavantage numérique	83.02%

Toronto Maple Leafs
14-2-2, 30pts

FINAL

Chicago Blackhawks
8-9-1, 17pts

Team Stats
W6	Streak	L2
8-0-1	Home Record	5-2-0
6-2-1	Away Record	3-7-1
9-0-1	Last 10 Games	6-4-0
3.11	Buts par match	3.00
2.11	Buts contre par match	3.00
14.29%	Pourcentage en avantage numérique	21.15%
88.24%	Pourcentage en désavantage numérique	84.09%

Toronto Maple Leafs
14-2-2, 30pts

2023-11-16

Pittsburgh Penguins
4-12-3, 11pts

Statistiques d’équipe
W6	Séquence	L6
8-0-1	Fiche domicile	2-6-2
6-2-1	Fiche visiteur	2-6-1
9-0-1	10 derniers matchs	2-6-2
3.11	Buts par match	1.00
2.11	Buts contre par match	1.00
14.29%	Pourcentage en avantage numérique	8.70%
88.24%	Pourcentage en désavantage numérique	80.77%

Florida Panthers
11-9-0, 22pts

2023-11-19

Toronto Maple Leafs
14-2-2, 30pts

Statistiques d’équipe
L1	Séquence	W6
6-4-0	Fiche domicile	8-0-1
5-5-0	Fiche visiteur	6-2-1
6-4-0	10 derniers matchs	9-0-1
3.10	Buts par match	3.11
3.15	Buts contre par match	3.11
22.06%	Pourcentage en avantage numérique	14.29%
80.39%	Pourcentage en désavantage numérique	88.24%

Seattle Kraken
7-12-3, 17pts

2023-11-21

Toronto Maple Leafs
14-2-2, 30pts

Statistiques d’équipe
L1	Séquence	W6
5-6-0	Fiche domicile	8-0-1
2-6-3	Fiche visiteur	6-2-1
4-5-1	10 derniers matchs	9-0-1
2.86	Buts par match	3.11
3.55	Buts contre par match	3.11
23.08%	Pourcentage en avantage numérique	14.29%
73.68%	Pourcentage en désavantage numérique	88.24%

Meneurs d'équipe
	Buts Auston Matthews 13	Passes Mitch Marner 15

	Points Brayden Point 24	Plus/Moins Oliver Bjorkstrand 8

	Victoires Frederik Andersen 11	Pourcentage d’arrêts Frederik Andersen 0.94

Statistiques d’équipe
Buts pour 56 3.11 GFG	Tirs pour 577 32.06 Avg	Pourcentage en avantage numérique 14.3% 8 GF	Début de zone offensive 36.8%
Buts contre 38 2.11 GAA	Tirs contre 624 34.67 Avg	Pourcentage en désavantage numérique 88.2%% 6 GA	Début de la zone défensive 40.1%

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	17,823
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 100
	Espoirs	28
Plafond salarial
	Cap Salarial de la Saison estimé	85,021,330$
	Plafond salarial disponible	-1,521,330$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	16,909,942$
	Dépenses annuelles à ce jour	20,574,215$
	Revenus de la saison estimés	60,124,238$
	Dépenses de la saison estimées	65,947,178$
	Compte bancaire actuel	153,426,872$
	Compte bancaire projeté	145,175,176$

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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

#	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	92	88	85	91	87	89	89	88	93	68	91	73	82	85	72	78	2	26	4	11,000,000$
2	Mitch Marner (A)	0	X	X	X		100.00	62	45	91	85	71	92	89	88	56	91	78	87	84	73	72	77	67	77	2	26	3	10,500,000$
3	Brayden Point	0	X	X	X		100.00	61	40	84	87	65	90	88	87	81	77	85	64	80	59	64	74	72	72	2	27	3	9,000,000$
4	Zach Hyman	0		X	X		100.00	64	44	85	78	80	90	89	75	57	74	79	73	77	82	81	42	63	72	0	31	2	3,500,000$
5	Drake Batherson	0			X		100.00	75	57	84	79	83	89	84	77	55	75	72	63	76	70	72	52	68	70	1	25	1	2,000,000$
6	Anthony Mantha	0	X	X	X		100.00	66	44	88	77	97	85	79	73	60	68	73	68	79	78	76	71	63	69	2	29	2	5,700,000$
7	Frederik Gauthier	0	X		X		100.00	58	44	82	72	70	87	90	70	80	69	68	88	75	73	69	75	62	69	0	28	2	1,100,000$
8	Oliver Bjorkstrand	0	X	X	X		100.00	64	39	89	79	69	87	90	77	58	71	72	66	78	72	78	56	68	69	2	28	2	4,800,000$
9	Trevor Moore	0	X	X	X		100.00	64	34	93	76	69	87	86	72	70	71	64	77	69	76	71	36	63	68	0	28	1	1,700,000$
10	Mattias Janmark	0	X	X	X		100.00	66	40	86	75	78	83	86	67	71	65	66	76	69	74	75	46	62	67	2	30	2	3,000,000$
11	Pierre Engvall	9	X	X	X		100.00	61	45	88	75	93	82	89	68	69	66	66	66	62	67	72	69	44	66	0	27	3	1,500,000$
12	Dakota Joshua	0	X	X	X		100.00	78	47	85	70	71	84	89	70	75	68	69	66	65	71	68	51	64	66	0	27	4	850,000$
13	Morgan Rielly (A)	0				X	100.00	67	41	80	81	82	93	88	75	30	88	66	78	56	79	86	76	64	74	2	29	4	7,000,000$
14	Marc Staal	44				X	100.00	79	43	88	63	87	86	89	58	30	69	57	86	49	89	80	45	65	72	2	36	1	2,000,000$
15	Justin Holl	0				X	100.00	79	46	75	68	88	91	88	64	30	71	61	84	50	73	75	50	65	72	2	31	2	1,800,000$
16	Jake Muzzin	0				X	99.00	77	45	80	70	67	72	75	69	30	72	62	90	56	79	80	19	51	70	0	34	2	8,500,000$
17	Mario Ferraro	0				X	100.00	81	55	81	67	78	93	85	65	30	67	58	90	58	55	54	70	64	70	2	29	2	1,000,000$
18	Nikita Zaitsev	0				X	99.00	79	41	85	66	79	85	81	64	30	65	59	81	50	75	71	28	63	69	0	32	3	3,500,000$
Rayé
1	Warren Foegele	0	X		X		100.00	73	43	80	69	80	81	88	64	58	63	66	62	68	75	70	79	51	64	2	27	3	1,800,000$
Équipe Mineure
1	Sam Lafferty	0	X		X		100.00	83	39	78	67	77	86	83	66	77	62	62	79	66	73	70	54	32	67	0	28	1	950,000$
2	Dominic Toninato	0	X	X	X		100.00	77	37	80	64	81	82	85	62	73	60	62	74	62	75	71	50	41	65	0	29	1	850,000$
3	Carl Grundstrom	0	X	X	X		100.00	88	35	88	66	75	77	85	57	66	60	66	70	60	62	59	73	34	64	2	28	1	950,000$
4	Jesper Froden	0		X	X		100.00	66	45	72	60	77	80	81	62	50	66	60	63	67	65	60	69	31	62	0	29	1	750,000$
5	Adam Brooks	0	X				100.00	65	41	88	63	70	76	78	66	65	61	58	60	53	71	70	72	32	62	2	27	3	950,000$
6	Egor Afanasyev (R)	0	X				100.00	76	40	73	63	87	83	88	62	58	59	60	58	58	58	41	86	28	61	0	22	1	789,167$
7	Jamie Devane	0	X	X	X		100.00	87	64	69	55	96	79	78	52	66	54	53	65	53	78	70	52	27	61	0	32	1	750,000$
8	Joseph LaBate	0		X	X		100.00	75	56	79	58	91	82	81	55	55	59	59	58	58	77	71	48	27	61	0	30	1	750,000$
9	Mikael Pyyhtia (R)	0		X	X		100.00	55	30	66	66	65	74	75	60	50	55	58	60	62	55	50	76	31	58	0	21	3	833,000$
10	Grant Mismash (R)	0		X			100.00	65	55	78	56	70	78	70	53	50	54	54	59	60	61	41	75	28	56	0	24	1	750,000$
11	Jarid Lukosevicius	0		X	X		100.00	58	46	80	55	67	79	81	54	54	53	57	51	55	70	66	55	28	56	0	28	1	750,000$
12	Matthew Stienburg (R)	0	X				100.00	66	55	70	55	66	72	74	52	50	52	50	57	54	45	55	74	31	54	2	23	3	833,000$
13	Kevin Bahl	0				X	100.00	84	60	74	62	99	82	87	58	30	65	59	75	60	64	64	85	32	69	2	23	4	900,000$
14	Keaton Middleton	0				X	100.00	90	57	60	55	79	82	82	58	30	56	53	63	46	67	66	59	31	63	0	25	1	875,000$
15	Shakir Mukhamadullin (R)	0				X	100.00	77	45	70	66	77	78	77	55	30	55	54	59	55	54	45	76	32	61	2	21	3	900,000$
16	Ryker Evans (R)	0				X	100.00	59	40	71	61	68	73	72	60	30	66	54	66	48	62	61	76	30	61	0	25	2	897,500$
17	Marc Del Gaizo (R)	0				X	100.00	76	45	78	61	68	77	78	60	30	60	55	64	54	61	41	77	32	61	0	24	1	850,833$
18	Mason Millman (R)	0				X	100.00	66	60	71	60	63	72	77	56	30	57	58	64	60	64	64	74	32	60	0	22	4	800,000$
19	Clifford Watson	0				X	100.00	51	89	69	57	78	77	67	56	30	51	51	64	52	51	51	46	28	58	0	29	1	750,000$
20	Jorian Donovan (R)	0				X	100.00	66	50	70	55	60	72	77	55	30	52	52	58	55	50	45	80	31	56	2	19	3	833,000$
21	Adam Brubacher (R)	0				X	100.00	75	45	85	60	84	61	65	52	30	53	51	56	45	45	66	40	25	58	0	27	1	750,000$

	MOYENNE D’ÉQUIPE						99.89	69	44	85	75	79	87	86	72	56	73	69	75	68	73	73	58	63	70

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	96.00	95	97	91	94	95	94	96	95	94	95	94	83	88	50	68	90	2	34	1	4,000,000$
2	Joseph Woll (R)	0	100.00	80	72	70	84	79	78	80	79	78	80	79	64	68	67	68	75	2	25	3	975,000$
Rayé
Équipe Mineure
1	Antoine Bibeau	0	100.00	88	66	72	84	69	68	70	69	68	70	69	71	75	58	40	70	0	29	2	925,000$
2	Arturs SilovS (R)	0	100.00	68	72	77	86	67	68	68	67	68	71	75	55	55	80	37	67	0	22	4	950,000$
3	David Hrenak	0	100.00	77	68	66	68	69	70	67	66	69	64	50	45	55	60	31	65	0	26	4	925,000$

	MOYENNE D’ÉQUIPE		98.00	88	85	81	89	87	86	88	87	86	88	87	74	78	59	68	83

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Brayden Point	Toronto Maple Leafs	C/LW/RW	18	11	13	24	7	6	0	14	15	66	16	48	16.67%	4	312	17.38	2	3	5	14	54	0	0	4	0	49.37%	239	25	3	0	1	1.53	1	1	0	4	0	2
2	Auston Matthews	Toronto Maple Leafs	C	18	13	10	23	6	4	0	15	20	72	19	41	18.06%	6	316	17.61	3	3	6	11	53	0	2	4	1	57.14%	350	22	3	0	2	1.45	0	1	0	2	1	2
3	Mitch Marner	Toronto Maple Leafs	C/LW/RW	18	6	15	21	6	2	0	13	23	56	20	43	10.71%	9	325	18.10	1	3	4	10	53	0	8	0	1	45.45%	22	26	6	0	0	1.29	1	1	0	0	1	2
4	Drake Batherson	Toronto Maple Leafs	RW	18	6	7	13	7	4	0	27	16	38	11	18	15.79%	8	313	17.40	0	2	2	5	41	1	16	1	2	38.89%	18	8	3	0	0	0.83	0	0	0	2	0	0
5	Oliver Bjorkstrand	Toronto Maple Leafs	C/LW/RW	18	5	7	12	8	2	0	12	12	34	10	25	14.71%	10	295	16.44	0	1	1	3	41	0	0	2	1	47.22%	36	14	5	0	0	0.81	0	0	0	0	1	0
6	Morgan Rielly	Toronto Maple Leafs	D	18	1	7	8	4	10	0	17	25	32	17	15	3.13%	32	417	23.20	1	0	1	5	55	1	30	0	0	0.00%	0	10	11	0	0	0.38	0	0	0	0	1	1
7	Marc Staal	Toronto Maple Leafs	D	18	1	5	6	7	4	0	13	22	14	11	8	7.14%	18	323	17.95	0	0	0	0	1	0	44	0	0	0.00%	0	2	12	0	0	0.37	0	0	0	0	0	0
8	Justin Holl	Toronto Maple Leafs	D	18	2	4	6	5	14	0	28	26	18	11	9	11.11%	20	352	19.60	1	1	2	4	39	0	0	0	0	0.00%	0	2	11	0	0	0.34	0	0	0	0	0	0
9	Jake Muzzin	Toronto Maple Leafs	D	17	0	5	5	4	8	0	22	19	24	12	5	0.00%	21	364	21.45	0	1	1	2	52	0	26	0	0	0.00%	0	3	16	0	0	0.27	0	0	0	0	0	0
10	Mario Ferraro	Toronto Maple Leafs	D	18	1	4	5	3	10	0	20	19	14	7	11	7.14%	20	328	18.25	0	0	0	0	1	2	27	0	0	0.00%	0	1	22	0	0	0.30	0	0	0	0	0	1
11	Anthony Mantha	Toronto Maple Leafs	C/LW/RW	18	2	2	4	0	4	0	17	6	44	25	28	4.55%	3	240	13.36	0	0	0	0	2	1	20	1	0	57.14%	7	20	6	1	0	0.33	0	0	0	0	0	1
12	Trevor Moore	Toronto Maple Leafs	C/LW/RW	18	1	3	4	-1	0	0	9	9	35	14	30	2.86%	5	204	11.37	0	0	0	0	0	0	0	0	1	80.00%	5	9	1	0	0	0.39	0	0	0	1	0	0
13	Dakota Joshua	Toronto Maple Leafs	C/LW/RW	18	3	1	4	2	9	5	14	6	34	15	18	8.82%	2	166	9.26	0	0	0	0	0	0	0	1	1	50.00%	8	7	2	0	0	0.48	0	0	1	1	0	1
14	Mattias Janmark	Toronto Maple Leafs	C/LW/RW	18	1	2	3	-1	4	0	14	23	21	4	21	4.76%	7	276	15.39	0	0	0	0	1	2	60	0	0	46.99%	266	9	5	0	0	0.22	0	0	0	0	0	0
15	Nikita Zaitsev	Toronto Maple Leafs	D	18	0	2	2	7	8	0	17	21	13	11	9	0.00%	19	375	20.87	0	0	0	0	40	1	53	0	0	0.00%	0	3	12	0	0	0.11	0	0	0	0	0	0
16	Zach Hyman	Toronto Maple Leafs	LW/RW	18	0	2	2	7	4	0	22	23	14	9	17	0.00%	4	357	19.85	0	0	0	3	40	1	52	0	0	54.55%	22	8	4	0	0	0.11	0	0	0	0	0	0
17	Frederik Gauthier	Toronto Maple Leafs	C/RW	18	1	0	1	2	8	0	10	12	21	10	19	4.76%	6	158	8.80	0	0	0	0	1	0	0	0	0	50.00%	4	2	3	0	0	0.13	0	0	0	0	1	0
18	Pierre Engvall	Toronto Maple Leafs	C/LW/RW	5	1	0	1	1	0	0	2	3	9	2	4	11.11%	0	49	9.94	0	0	0	0	0	0	2	0	1	46.15%	13	4	0	0	0	0.40	0	0	0	0	0	0
19	Warren Foegele	Toronto Maple Leafs	C/RW	14	0	1	1	1	6	0	10	4	17	6	11	0.00%	1	150	10.75	0	0	0	0	0	0	15	0	0	40.58%	69	5	3	0	0	0.13	0	0	0	0	0	0
20	Kevin Bahl	Toronto Marlies (TOR)	D	1	0	0	0	0	0	0	1	1	1	1	0	0.00%	0	18	18.45	0	0	0	0	3	0	0	0	0	0.00%	0	0	1	0	0	0.00%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				325	55	90	145	75	107	5	297	305	577	231	380	9.53%	195	5350	16.46	8	14	22	57	486	9	359	13	8	50.71%	1059	180	129	1	3	0.54	2	3	1	10	5	10

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Frederik Andersen	Toronto Maple Leafs	15	11	2	2	0.940	2.11	912	1	32	536	260	1	0.667	3	15	2	4	3	0
2	Joseph Woll	Toronto Maple Leafs	3	3	0	0	0.932	2.00	180	1	6	88	52	1	0.00%	0	3	15	0	1	1
Statistiques d’équipe totales ou en moyenne			18	14	2	2	0.939	2.09	1093	2	38	624	312	2		3	18	17	4	4	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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Anthony Mantha	Toronto Maple Leafs	C/LW/RW	29	1994-09-16	No	234 Lbs	6 ft5	No	No	No	Yes	2	Pro Only	5,700,000$	4,334,375$	5,700,000$	4,334,375$	5,700,000$	4,334,375$	No	5,700,000$			Lien / Lien NHL
Auston Matthews	Toronto Maple Leafs	C	26	1997-09-17 09:20:37	No	205 Lbs	6 ft3	No	No	No	No	4	Pro Only	11,000,000$	8,364,583$	11,000,000$	8,364,583$	11,000,000$	8,364,583$	No	11,000,000$	11,000,000$	11,000,000$	Lien / Lien NHL
Brayden Point	Toronto Maple Leafs	C/LW/RW	27	1996-03-13 03:57:19	No	165 Lbs	5 ft10	No	No	No	Yes	3	Pro Only	9,000,000$	6,843,750$	9,000,000$	6,843,750$	9,000,000$	6,843,750$	No	9,000,000$	9,000,000$		Lien / Lien NHL
Dakota Joshua	Toronto Maple Leafs	C/LW/RW	27	1996-05-15	No	206 Lbs	6 ft3	No	No	No	Yes	4	Pro & Farm	850,000$	646,354$	850,000$	646,354$	850,000$	646,354$	No	850,000$	850,000$	850,000$	Lien
Drake Batherson	Toronto Maple Leafs	RW	25	1998-04-27	No	200 Lbs	6 ft3	No	No	No	No	1	Pro Only	2,000,000$	1,520,833$	2,000,000$	1,520,833$	2,000,000$	1,520,833$	No				Lien
Frederik Andersen	Toronto Maple Leafs	G	34	1989-10-02	No	238 Lbs	6 ft4	No	No	No	Yes	1	Pro Only	4,000,000$	3,041,667$	4,000,000$	3,041,667$	4,000,000$	3,041,667$	No				Lien / Lien NHL
Frederik Gauthier	Toronto Maple Leafs	C/RW	28	1995-04-26	No	200 Lbs	6 ft0	No	No	No	Yes	2	Pro & Farm	1,100,000$	836,458$	1,100,000$	836,458$	1,100,000$	836,458$	No	1,100,000$			Lien / Lien NHL
Jake Muzzin	Toronto Maple Leafs	D	34	1989-02-21 05:15:06	No	227 Lbs	6 ft3	No	No	No	Yes	2	Pro Only	8,500,000$	6,463,542$	8,500,000$	6,463,542$	8,500,000$	6,463,542$	No	8,500,000$
Joseph Woll	Toronto Maple Leafs	G	25	1998-07-12	Yes	203 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	975,000$	741,406$	975,000$	741,406$	975,000$	741,406$	No	975,000$	975,000$		Lien
Justin Holl	Toronto Maple Leafs	D	31	1992-01-30	No	210 Lbs	6 ft4	No	No	No	Yes	2	Pro & Farm	1,800,000$	1,368,750$	1,800,000$	1,368,750$	1,800,000$	1,368,750$	No	1,800,000$			Lien
Marc Staal	Toronto Maple Leafs	D	36	1987-01-13	No	208 Lbs	6 ft4	No	No	No	Yes	1	Pro Only	2,000,000$	1,520,833$	2,000,000$	1,520,833$	2,000,000$	1,520,833$	No				Lien / Lien NHL
Mario Ferraro	Toronto Maple Leafs	D	29	1994-09-17 01:37:03	No	209 Lbs	6 ft0	No	No	No	Yes	2	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$			Lien
Mattias Janmark	Toronto Maple Leafs	C/LW/RW	30	1992-12-08	No	205 Lbs	6 ft1	No	No	No	Yes	2	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No	3,000,000$			Lien NHL
Mitch Marner (contrat à 1 volet)	Toronto Maple Leafs	C/LW/RW	26	1997-05-05 09:30:02	No	170 Lbs	5 ft10	No	No	No	No	3	Pro Only	10,500,000$	7,984,375$	10,500,000$	7,984,375$	10,500,000$	7,984,375$	No	10,500,000$	10,500,000$		Lien / Lien NHL
Morgan Rielly	Toronto Maple Leafs	D	29	1994-03-09	No	219 Lbs	6 ft1	No	No	No	Yes	4	Pro Only	7,000,000$	5,322,917$	7,000,000$	5,322,917$	7,000,000$	5,322,917$	No	7,000,000$	7,000,000$	7,000,000$	Lien / Lien NHL
Nikita Zaitsev	Toronto Maple Leafs	D	32	1991-10-29	No	192 Lbs	6 ft1	No	No	No	Yes	3	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No	3,500,000$	3,500,000$		Lien / Lien NHL
Oliver Bjorkstrand	Toronto Maple Leafs	C/LW/RW	28	1995-04-10	No	177 Lbs	6 ft0	No	No	No	Yes	2	Pro Only	4,800,000$	3,650,000$	4,800,000$	3,650,000$	4,800,000$	3,650,000$	No	4,800,000$			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	No	No	3	Pro & Farm	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No	1,500,000$	1,500,000$
Trevor Moore	Toronto Maple Leafs	C/LW/RW	28	1995-03-31	No	185 Lbs	5 ft10	No	No	No	Yes	1	Pro & Farm	1,700,000$	1,292,708$	1,700,000$	1,292,708$	1,700,000$	1,292,708$	No				Lien
Warren Foegele	Toronto Maple Leafs	C/RW	27	1996-04-01 03:05:33	No	198 Lbs	6 ft2	No	No	No	Yes	3	Pro Only	1,800,000$	1,368,750$	1,800,000$	1,368,750$	1,800,000$	1,368,750$	No	1,800,000$	1,800,000$		Lien
Zach Hyman	Toronto Maple Leafs	LW/RW	31	1992-06-09	No	211 Lbs	6 ft1	No	No	No	Yes	2	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No	3,500,000$			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.00	204 Lbs	6 ft2	2.38	4,058,333$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
85,225,000$	75,525,000$	46,125,000$	18,850,000$	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	Trevor Moore	Mattias Janmark	Anthony Mantha	23	1	2	2
4	Frederik Gauthier	Pierre Engvall	Dakota Joshua	15	1	2	2

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

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

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	Jake Muzzin	60	1	2	2
2	Justin Holl	Nikita Zaitsev	40	1	2	2

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	Drake Batherson	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Nikita Zaitsev	Jake Muzzin	60	1	4	0
2	Mario Ferraro	Morgan Rielly	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	Jake Muzzin	Nikita Zaitsev	60	1	4	0
2	Pierre Engvall	40	1	4	0	Justin Holl	Morgan Rielly	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mattias Janmark	Anthony Mantha	60	1	2	2
2	Pierre Engvall	Trevor Moore	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	Marc Staal	Nikita Zaitsev	40	1	2	2

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

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Zach Hyman	Mattias Janmark	Anthony Mantha	Jake Muzzin	Morgan Rielly

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mitch Marner, Auston Matthews , Anthony Mantha	Brayden Point , Oliver Bjorkstrand	Mattias Janmark

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

Tirs de pénalité
Mitch Marner, Auston Matthews , Brayden Point , Oliver Bjorkstrand, Anthony Mantha

Gardien
#1 : Joseph Woll, #2 : Frederik Andersen, #3 : 0

Lignes d’attaque personnalisées en prolongation
Mitch Marner, Auston Matthews , Brayden Point , Zach Hyman, Oliver Bjorkstrand, Anthony Mantha, Anthony Mantha, Drake Batherson, Pierre Engvall , Trevor Moore, Mattias Janmark

Lignes de défense personnalisées en prolongation
Morgan Rielly, Jake Muzzin, Mario Ferraro, Nikita Zaitsev, 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	Boston Bruins	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	0	2	1	2	33	11	8	13	4	43	15	8	16	2	0	0.00%	4	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	19	11	31	8	14	7
2	Buffalo Sabres	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	0	3	1	0	37	7	15	15	0	27	12	4	17	3	1	33.33%	2	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	24	15	18	7	16	8
3	Calgary Flames	1	0	0	0	1	0	0	0	6	5	1	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	3	1	1	1	36	10	12	13	1	35	10	2	14	5	0	0.00%	1	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	21	14	22	8	16	8
4	Chicago Blackhawks	2	2	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	10	16	0	1	1	3	2	0	69	16	22	31	0	64	24	12	30	9	2	22.22%	6	1	83.33%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	43	28	46	16	29	15
5	Dallas Stars	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	1	0	3	0	33	8	15	10	0	35	13	6	16	2	0	0.00%	3	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	21	13	21	8	16	7
6	Detroit Redwings	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	0	0	3	0	26	6	13	7	0	35	14	4	15	5	0	0.00%	2	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	18	10	24	10	17	8
7	Florida Panthers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	1	0	0	0	33	8	10	15	0	31	9	2	10	1	0	0.00%	1	1	0.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	22	14	20	7	16	8
8	Los Angeles Kings	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	2	2	0	0	26	10	6	10	0	38	13	6	16	2	1	50.00%	3	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	16	9	27	9	16	7
9	Minnesota Wild	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	3	1	3	0	59	22	16	21	0	80	15	8	44	3	0	0.00%	4	1	75.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	42	25	43	16	34	16
10	Montreal Canadiens	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	3	1	0	0	36	11	13	12	0	32	14	9	27	5	1	20.00%	2	1	50.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	27	20	18	6	13	7
11	Nashville Predators	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	7	11	0	0	0	2	1	1	36	11	10	13	2	37	10	6	25	4	0	0.00%	3	1	66.67%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	23	13	21	9	17	9
12	Ottawa Senators	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	0	1	2	0	28	13	8	7	0	33	4	12	13	4	0	0.00%	6	1	83.33%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	22	14	22	7	14	8
13	Tampa Bay Lightning	2	0	0	0	0	2	0	0	3	5	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0.500	3	4	7	0	0	1	2	0	0	59	19	23	16	1	56	21	20	30	6	3	50.00%	10	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	45	27	46	17	33	15
14	Vancouver Canucks	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	1	2	3	0	1	1	0	0	0	27	11	3	13	0	41	14	6	11	3	0	0.00%	3	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	22	15	23	8	13	6
15	Washington Capitals	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	0	1	1	0	39	10	14	15	0	37	7	2	13	2	0	0.00%	1	0	100.00%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	23	15	20	8	15	7
	Total	18	11	2	0	2	2	1	0	56	38	18	9	7	0	0	1	1	0	0	30	16	14	9	4	2	0	1	1	1	0	26	22	4	30	0.833	56	90	146	0	2	16	19	18	4	577	173	188	211	8	624	195	107	297	56	8	14.29%	51	6	88.24%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	395	247	409	150	288	142
	_Since Last GM Reset	18	11	2	0	2	2	1	0	56	38	18	9	7	0	0	1	1	0	0	30	16	14	9	4	2	0	1	1	1	0	26	22	4	30	0.833	56	90	146	0	2	16	19	18	4	577	173	188	211	8	624	195	107	297	56	8	14.29%	51	6	88.24%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	395	247	409	150	288	142
	_Vs Conference	9	4	2	0	0	2	1	0	24	19	5	4	3	0	0	0	1	0	0	12	5	7	5	1	2	0	0	1	1	0	12	14	-2	12	0.667	24	35	59	0	0	5	10	8	2	291	85	104	100	5	294	96	61	141	28	5	17.86%	28	3	89.29%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	203	128	203	73	142	71
	_Vs Division	8	4	1	0	0	2	1	0	22	14	8	4	3	0	0	0	1	0	0	12	5	7	4	1	1	0	0	1	1	0	10	9	1	12	0.750	22	32	54	0	0	5	9	7	2	252	75	90	85	5	257	89	59	128	26	5	19.23%	27	3	88.89%	0	203	386	52.59%	212	421	50.36%	122	243	50.21%	180	113	182	64	126	63

			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
18	30	W6	56	90	146	577	624	195	107	297	0	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	11	2	2	2	1	0	56	38

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	7	0	1	1	0	0	30	16

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	2	1	1	1	0	26	22

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
9	0	0	1	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
56	8	14.29%	51	6	88.24%	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
173	188	211	8	16	19	18	4

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
203	386	52.59%	212	421	50.36%	122	243	50.21%

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
395	247	409	150	288	142

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
2 - 2023-10-02	5	Montreal Canadiens	1	Toronto Maple Leafs	4	BW			Sommaire du match
5 - 2023-10-05	26	Minnesota Wild	3	Toronto Maple Leafs	4	BW			Sommaire du match
7 - 2023-10-07	38	Chicago Blackhawks	0	Toronto Maple Leafs	3	BW			Sommaire du match
10 - 2023-10-10	52	Toronto Maple Leafs	1	Florida Panthers	2	AL			Sommaire du match
12 - 2023-10-12	70	Toronto Maple Leafs	2	Tampa Bay Lightning	3	AL	X		Sommaire du match
15 - 2023-10-15	83	Toronto Maple Leafs	2	Washington Capitals	5	AL			Sommaire du match
17 - 2023-10-17	108	Toronto Maple Leafs	4	Dallas Stars	2	AW			Sommaire du match
19 - 2023-10-19	119	Toronto Maple Leafs	4	Nashville Predators	3	AW	X		Sommaire du match
22 - 2023-10-22	139	Los Angeles Kings	3	Toronto Maple Leafs	4	BW			Sommaire du match
24 - 2023-10-24	145	Toronto Maple Leafs	4	Boston Bruins	3	AW	X	X	Sommaire du match
26 - 2023-10-26	165	Buffalo Sabres	1	Toronto Maple Leafs	4	BW			Sommaire du match
28 - 2023-10-28	177	Tampa Bay Lightning	2	Toronto Maple Leafs	1	BL	X		Sommaire du match
30 - 2023-10-30	190	Ottawa Senators	1	Toronto Maple Leafs	3	BW			Sommaire du match
32 - 2023-11-01	207	Calgary Flames	5	Toronto Maple Leafs	6	BW	X		Sommaire du match
33 - 2023-11-02	215	Vancouver Canucks	0	Toronto Maple Leafs	1	BW			Sommaire du match
39 - 2023-11-08	251	Toronto Maple Leafs	3	Detroit Redwings	1	AW			Sommaire du match
41 - 2023-11-10	267	Toronto Maple Leafs	3	Minnesota Wild	2	AW			Sommaire du match
46 - 2023-11-15	295	Toronto Maple Leafs	3	Chicago Blackhawks	1	AW			Sommaire du match
47 - 2023-11-16	311	Toronto Maple Leafs	-	Pittsburgh Penguins	-
50 - 2023-11-19	329	Florida Panthers	-	Toronto Maple Leafs	-
52 - 2023-11-21	346	Seattle Kraken	-	Toronto Maple Leafs	-
54 - 2023-11-23	364	Boston Bruins	-	Toronto Maple Leafs	-
59 - 2023-11-28	395	Toronto Maple Leafs	-	Ottawa Senators	-
61 - 2023-11-30	413	Nashville Predators	-	Toronto Maple Leafs	-
63 - 2023-12-02	429	Toronto Maple Leafs	-	New York Islanders	-
64 - 2023-12-03	432	Toronto Maple Leafs	-	New York Rangers	-
66 - 2023-12-05	449	Columbus Blue Jackets	-	Toronto Maple Leafs	-
68 - 2023-12-07	467	Pittsburgh Penguins	-	Toronto Maple Leafs	-
71 - 2023-12-10	489	New York Rangers	-	Toronto Maple Leafs	-
73 - 2023-12-12	498	Toronto Maple Leafs	-	Buffalo Sabres	-
75 - 2023-12-14	518	Toronto Maple Leafs	-	Columbus Blue Jackets	-
79 - 2023-12-18	531	Ottawa Senators	-	Toronto Maple Leafs	-
81 - 2023-12-20	546	Toronto Maple Leafs	-	Columbus Blue Jackets	-
82 - 2023-12-21	561	Carolina Hurricanes	-	Toronto Maple Leafs	-
85 - 2023-12-24	585	Toronto Maple Leafs	-	Los Angeles Kings	-
86 - 2023-12-25	588	Toronto Maple Leafs	-	Anaheim Ducks	-
89 - 2023-12-28	607	Toronto Maple Leafs	-	San Jose Sharks	-
92 - 2023-12-31	627	San Jose Sharks	-	Toronto Maple Leafs	-
94 - 2024-01-02	646	Toronto Maple Leafs	-	New York Islanders	-
96 - 2024-01-04	663	Colorado Avalanche	-	Toronto Maple Leafs	-
97 - 2024-01-05	670	Detroit Redwings	-	Toronto Maple Leafs	-
99 - 2024-01-07	688	Toronto Maple Leafs	-	Edmonton Oilers	-
101 - 2024-01-09	697	Toronto Maple Leafs	-	Calgary Flames	-
103 - 2024-01-11	710	Toronto Maple Leafs	-	Vancouver Canucks	-
104 - 2024-01-12	723	Toronto Maple Leafs	-	Seattle Kraken	-
107 - 2024-01-15	740	Winnipeg Jets	-	Toronto Maple Leafs	-
110 - 2024-01-18	763	Toronto Maple Leafs	-	Winnipeg Jets	-
119 - 2024-01-27	782	New York Islanders	-	Toronto Maple Leafs	-
121 - 2024-01-29	792	Dallas Stars	-	Toronto Maple Leafs	-
124 - 2024-02-01	813	Toronto Maple Leafs	-	Ottawa Senators	-
127 - 2024-02-04	827	St. Louis Blues	-	Toronto Maple Leafs	-
129 - 2024-02-06	843	Philadelphia Flyers	-	Toronto Maple Leafs	-
131 - 2024-02-08	858	Anaheim Ducks	-	Toronto Maple Leafs	-
133 - 2024-02-10	867	Toronto Maple Leafs	-	St. Louis Blues	-
135 - 2024-02-12	887	Toronto Maple Leafs	-	Arizona Coyotes	-
136 - 2024-02-13	898	Toronto Maple Leafs	-	Las Vegas Golden Knights	-
138 - 2024-02-15	908	Toronto Maple Leafs	-	Colorado Avalanche	-
141 - 2024-02-18	931	Las Vegas Golden Knights	-	Toronto Maple Leafs	-
143 - 2024-02-20	946	Arizona Coyotes	-	Toronto Maple Leafs	-
145 - 2024-02-22	964	New York Rangers	-	Toronto Maple Leafs	-
147 - 2024-02-24	978	Boston Bruins	-	Toronto Maple Leafs	-
149 - 2024-02-26	990	Buffalo Sabres	-	Toronto Maple Leafs	-
150 - 2024-02-27	993	Toronto Maple Leafs	-	Boston Bruins	-
152 - 2024-02-29	1015	Toronto Maple Leafs	-	Montreal Canadiens	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157 - 2024-03-05	1050	Toronto Maple Leafs	-	Philadelphia Flyers	-
159 - 2024-03-07	1067	Carolina Hurricanes	-	Toronto Maple Leafs	-
162 - 2024-03-10	1086	Toronto Maple Leafs	-	Philadelphia Flyers	-
163 - 2024-03-11	1095	Toronto Maple Leafs	-	Washington Capitals	-
166 - 2024-03-14	1118	Edmonton Oilers	-	Toronto Maple Leafs	-
167 - 2024-03-15	1127	Toronto Maple Leafs	-	Carolina Hurricanes	-
169 - 2024-03-17	1139	New Jersey Devils	-	Toronto Maple Leafs	-
171 - 2024-03-19	1155	Washington Capitals	-	Toronto Maple Leafs	-
173 - 2024-03-21	1171	Toronto Maple Leafs	-	Buffalo Sabres	-
175 - 2024-03-23	1185	Florida Panthers	-	Toronto Maple Leafs	-
177 - 2024-03-25	1197	Tampa Bay Lightning	-	Toronto Maple Leafs	-
180 - 2024-03-28	1223	Toronto Maple Leafs	-	Montreal Canadiens	-
182 - 2024-03-30	1237	Pittsburgh Penguins	-	Toronto Maple Leafs	-
183 - 2024-03-31	1243	Toronto Maple Leafs	-	New Jersey Devils	-
185 - 2024-04-02	1260	New Jersey Devils	-	Toronto Maple Leafs	-
187 - 2024-04-04	1277	Detroit Redwings	-	Toronto Maple Leafs	-
190 - 2024-04-07	1297	Toronto Maple Leafs	-	Florida Panthers	-
191 - 2024-04-08	1304	Toronto Maple Leafs	-	Tampa Bay Lightning	-

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	53,813	44,229	17,974	35,393	9,000
Attendance PCT	99.65%	98.29%	99.86%	98.31%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
32	17823 - 99.02%	1,878,882$	16,909,942$	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
20,574,215$	85,225,000$	85,225,000$	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
443,880$	20,214,850$	5,052,562$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
60,124,238$	146	451,693$	65,947,178$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
68,375,934$	153,426,872$	145,175,176$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
85,021,330$	-1,521,330$	83,500,000$	23,321,330$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Mitch Marner	AGE:26	PO:77	OV:77
Brayden Point	AGE:27	PO:74	OV:72
Zach Hyman	AGE:31	PO:42	OV:72
Anthony Mantha	AGE:29	PO:71	OV:69
Oliver Bjorkstrand	AGE:28	PO:56	OV:69
Trevor Moore	AGE:28	PO:36	OV:68
Mattias Janmark	AGE:30	PO:46	OV:67
Pierre Engvall	AGE:27	PO:69	OV:66
Dakota Joshua	AGE:27	PO:51	OV:66
Dominic Toninato	AGE:29	PO:50	OV:65
Carl Grundstrom	AGE:28	PO:73	OV:64
Jesper Froden	AGE:29	PO:69	OV:62
Jamie Devane	AGE:32	PO:52	OV:61
Joseph LaBate	AGE:30	PO:48	OV:61
Mikael Pyyhtia (R)	AGE:21	PO:76	OV:58
Grant Mismash (R)	AGE:24	PO:75	OV:56
Jarid Lukosevicius	AGE:28	PO:55	OV:56

Auston Matthews	AGE:26	PO:85	OV:78
Mitch Marner	AGE:26	PO:77	OV:77
Brayden Point	AGE:27	PO:74	OV:72
Frederik Gauthier	AGE:28	PO:75	OV:69
Anthony Mantha	AGE:29	PO:71	OV:69
Oliver Bjorkstrand	AGE:28	PO:56	OV:69
Trevor Moore	AGE:28	PO:36	OV:68
Sam Lafferty	AGE:28	PO:54	OV:67
Mattias Janmark	AGE:30	PO:46	OV:67
Pierre Engvall	AGE:27	PO:69	OV:66
Dakota Joshua	AGE:27	PO:51	OV:66
Dominic Toninato	AGE:29	PO:50	OV:65
Warren Foegele	AGE:27	PO:79	OV:64
Carl Grundstrom	AGE:28	PO:73	OV:64
Adam Brooks	AGE:27	PO:72	OV:62
Egor Afanasyev (R)	AGE:22	PO:86	OV:61
Jamie Devane	AGE:32	PO:52	OV:61
Matthew Stienburg (R)	AGE:23	PO:74	OV:54

Mitch Marner	AGE:26	PO:77	OV:77
Brayden Point	AGE:27	PO:74	OV:72
Zach Hyman	AGE:31	PO:42	OV:72
Drake Batherson	AGE:25	PO:52	OV:70
Frederik Gauthier	AGE:28	PO:75	OV:69
Anthony Mantha	AGE:29	PO:71	OV:69
Oliver Bjorkstrand	AGE:28	PO:56	OV:69
Trevor Moore	AGE:28	PO:36	OV:68
Sam Lafferty	AGE:28	PO:54	OV:67
Mattias Janmark	AGE:30	PO:46	OV:67
Pierre Engvall	AGE:27	PO:69	OV:66
Dakota Joshua	AGE:27	PO:51	OV:66
Dominic Toninato	AGE:29	PO:50	OV:65
Warren Foegele	AGE:27	PO:79	OV:64
Carl Grundstrom	AGE:28	PO:73	OV:64
Jesper Froden	AGE:29	PO:69	OV:62
Jamie Devane	AGE:32	PO:52	OV:61
Joseph LaBate	AGE:30	PO:48	OV:61
Mikael Pyyhtia (R)	AGE:21	PO:76	OV:58
Jarid Lukosevicius	AGE:28	PO:55	OV:56

Défense #1

Défense #2

Gardien

Morgan Rielly	AGE:29	PO:76	OV:74
Justin Holl	AGE:31	PO:50	OV:72
Marc Staal	AGE:36	PO:45	OV:72
Mario Ferraro	AGE:29	PO:70	OV:70
Jake Muzzin	AGE:34	PO:19	OV:70
Kevin Bahl	AGE:23	PO:85	OV:69
Nikita Zaitsev	AGE:32	PO:28	OV:69
Keaton Middleton	AGE:25	PO:59	OV:63

Marc Del Gaizo (R)	AGE:24	PO:77	OV:61
Shakir Mukhamadullin (R)	AGE:21	PO:76	OV:61
Ryker Evans (R)	AGE:25	PO:76	OV:61
Mason Millman (R)	AGE:22	PO:74	OV:60
Clifford Watson	AGE:29	PO:46	OV:58
Adam Brubacher (R)	AGE:27	PO:40	OV:58
Jorian Donovan (R)	AGE:19	PO:80	OV:56

Frederik Andersen	AGE:34	PO:50	OV:90
Joseph Woll (R)	AGE:25	PO:67	OV:75
Antoine Bibeau	AGE:29	PO:58	OV:70
Arturs SilovS (R)	AGE:22	PO:80	OV:67
David Hrenak	AGE:26	PO:60	OV:65

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total
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	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

Toronto Maple Leafs Historique de transactions

[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.
[2023-07-31 11:16:27] - Jake Muzzin was added to Toronto Maple Leafs.
[2023-07-31 11:14:58] - Jake Muzzin has been added to Toronto Maple Leafs.
[2023-07-20 13:45:05] - Josh Leivo was released.
[2023-07-20 13:45:05] - Toronto Maple Leafs paid 0 $ to release Josh Leivo.
[2023-07-20 11:56:03] - Vladimir Bobylyov has been deleted from Toronto Maple Leafs.
[2023-07-20 11:55:12] - Shakir Mukhamadullin was added to Toronto Maple Leafs.
[2023-07-20 11:53:40] - Patrick Virta has been deleted from Toronto Maple Leafs.
[2023-07-20 11:52:05] - Mikael Pyyhtia was added to Toronto Maple Leafs.
[2023-07-20 11:50:20] - Matthew Stienburg was added to Toronto Maple Leafs.
[2023-07-20 11:48:57] - Martins Dzierkals has been deleted from Toronto Maple Leafs.
[2023-07-20 11:47:35] - Seth Griffith was released.
[2023-07-20 11:47:35] - Toronto Maple Leafs paid 0 $ to release Seth Griffith.
[2023-07-20 11:46:33] - John Stevens was released.
[2023-07-20 11:46:33] - Toronto Maple Leafs paid 0 $ to release John Stevens.
[2023-07-20 11:45:37] - Jarid Lukosevicius was released.
[2023-07-20 11:45:37] - Toronto Maple Leafs paid 0 $ to release Jarid Lukosevicius.
[2023-07-20 11:44:08] - Jorian Donovan was added to Toronto Maple Leafs.
[2023-07-20 11:35:20] - Vladislav Firstov was released by Toronto Maple Leafs
[2023-07-20 11:34:57] - Vladislav Firstov has been added to Toronto Maple Leafs.
[2023-07-19 16:25:18] - Jacob Ingham was released by Toronto Maple Leafs
[2023-07-19 16:21:00] - TJ Brennan was released by Toronto Maple Leafs
[2023-07-19 16:19:56] - Nathan Beaulieu was released.
[2023-07-19 16:19:56] - Toronto Maple Leafs paid 0 $ to release Nathan Beaulieu .
[2023-07-19 16:17:07] - Ty Stanton was released by Toronto Maple Leafs
[2023-07-19 16:07:07] - Jake Muzzin was released by Toronto Maple Leafs
[2023-07-16 09:42:12] - Byron Froese was released.
[2023-07-16 09:42:12] - Toronto Maple Leafs paid 0 $ to release Byron Froese.
[2023-07-16 09:41:48] - Craig Anderson was released.
[2023-07-16 09:41:48] - Toronto Maple Leafs paid 0 $ to release Craig Anderson.

[2023-11-27 18:20:51] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-27 18:20:10] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.226.228.229 .
[2023-11-27 18:19:35] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.226.228.229 .
[2023-11-27 18:18:28] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.226.228.229 .
[2023-11-27 18:18:05] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2023-11-27 18:17:58] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.226.228.229 .
[2023-11-27 18:17:43] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.226.228.229 .
[2023-11-26 12:23:32] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-25 15:45:32] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-25 15:45:13] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2023-11-25 15:29:39] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-25 15:29:12] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2023-11-25 15:28:18] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2023-11-25 15:27:12] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2023-11-25 15:26:55] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2023-11-23 20:23:14] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-23 20:14:04] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-23 20:13:44] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:67.69.76.242 .
[2023-11-23 20:13:24] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:67.69.76.242 .
[2023-11-23 20:13:12] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:67.69.76.242 .
[2023-11-23 06:13:44] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-21 18:54:03] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-20 20:44:13] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-20 20:43:42] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2023-11-20 20:43:34] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-20 20:43:05] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-19 07:01:15] Toronto Maple Leafs are expected to be over the salary cap by 1 521 330 $!
[2023-11-19 07:00:42] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:66.130.41.31 .
[2023-11-19 06:56:18] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:66.130.41.31 .
[2023-11-19 06:55:03] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:66.130.41.31 .
[2023-11-19 06:55:02] Kevin Bahl of Toronto Maple Leafs was sent down to farm.
[2023-11-18 11:04:29] Toronto Maple Leafs are expected to be over the salary cap by 2 252 658 $!
[2023-11-17 19:53:34] Toronto Maple Leafs are expected to be over the salary cap by 2 252 658 $!
[2023-11-16 18:51:49] Toronto Maple Leafs are expected to be over the salary cap by 2 252 658 $!
[2023-11-16 18:51:30] Jake Muzzin from Toronto Maple Leafs is back from Bruised Left Shoulder Injury.
[2023-11-15 18:44:33] Toronto Maple Leafs are expected to be over the salary cap by 2 252 658 $!
[2023-11-15 18:44:12] 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.
[2023-11-15 18:44:02] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-15 18:41:16] Auto Lines Partial Function has been run for Toronto Marlies.
[2023-11-15 18:41:13] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-15 18:40:55] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-15 18:40:54] Kevin Bahl of Toronto Maple Leafs was sent to pro.
[2023-11-15 18:40:54] Pierre Engvall of Toronto Maple Leafs was sent to pro.
[2023-11-14 17:38:35] Toronto Maple Leafs are expected to be over the salary cap by 252 658 $!
[2023-11-14 17:33:11] Toronto Maple Leafs are expected to be over the salary cap by 252 658 $!
[2023-11-14 17:29:03] Toronto Maple Leafs are expected to be over the salary cap by 252 658 $!
[2023-11-14 17:28:44] 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.

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: 18 \| W: 14 \| L: 2 \| OTL: 2 \| P: 30 GF: 56 \| GA: 38 \| PP%: 14.29% \| PK%: 88.24% DG: Pascal Levesque \| Morale : 57 \| Moyenne d’équipe : 71 Prochains matchs #311 vs Pittsburgh Penguins

Année	R1	R2	R3	R4	R5	R6	R7
9	TOR	TOR	TOR	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

Année	R1	R2	R3	R4	R5	R6	R7
9	TOR	TOR	TOR	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

Année	R1	R2	R3	R4	R5	R6	R7
9	TOR	TOR	TOR	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