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

Centre de jeu
	Maple Leafs 4-4-1, 9pts	1	FINAL	3	Canadiens 5-5-0, 10pts

Team Stats
L2	Séquence	L1
3-1-0	Fiche domicile	3-1-0
1-3-1	Fiche visiteur	2-4-0
4-4-1	Derniers 10 matchs	5-5-0
1.89	Buts par match	1.80
1.89	Buts contre par match	1.70
20.00%	Pourcentage en avantage numérique	10.00%
91.43%	Pourcentage en désavantage numérique	88.89%

Maple Leafs
4-4-1, 9pts

FINAL

Bruins
3-3-2, 8pts

Team Stats
L2	Séquence	W1
3-1-0	Fiche domicile	3-2-0
1-3-1	Fiche visiteur	0-1-2
4-4-1	Derniers 10 matchs	3-3-2
1.89	Buts par match	1.75
1.89	Buts contre par match	2.38
20.00%	Pourcentage en avantage numérique	6.67%
91.43%	Pourcentage en désavantage numérique	80.77%

Bruins
3-3-2, 8pts

2024-11-20

Maple Leafs
4-4-1, 9pts

Statistiques d’équipe
W1	Séquence	L2
3-2-0	Fiche domicile	3-1-0
0-1-2	Fiche visiteur	1-3-1
3-3-2	10 derniers matchs	4-4-1
1.75	Buts par match	1.89
2.38	Buts contre par match	1.89
6.67%	Pourcentage en avantage numérique	20.00%
80.77%	Pourcentage en désavantage numérique	91.43%

Maple Leafs
4-4-1, 9pts

2024-11-22

Bruins
3-3-2, 8pts

Statistiques d’équipe
L2	Séquence	W1
3-1-0	Fiche domicile	3-2-0
1-3-1	Fiche visiteur	0-1-2
4-4-1	10 derniers matchs	3-3-2
1.89	Buts par match	1.75
1.89	Buts contre par match	1.75
20.00%	Pourcentage en avantage numérique	6.67%
91.43%	Pourcentage en désavantage numérique	80.77%

Lightning
2-5-1, 5pts

2024-11-23

Maple Leafs
4-4-1, 9pts

Statistiques d’équipe
L1	Séquence	L2
2-3-0	Fiche domicile	3-1-0
0-2-1	Fiche visiteur	1-3-1
2-5-1	10 derniers matchs	4-4-1
1.38	Buts par match	1.89
2.63	Buts contre par match	1.89
9.09%	Pourcentage en avantage numérique	20.00%
79.17%	Pourcentage en désavantage numérique	91.43%

Meneurs d'équipe
	Buts Nicklas Backstrom 5	Passes James Neal 6

	Points Nicklas Backstrom 9	Plus/Moins Jeremy Williams 3

	Victoires Dwayne Roloson 4	Pourcentage d’arrêts Dwayne Roloson 0.881

Statistiques d’équipe
Buts pour 17 1.89 GFG	Tirs pour 162 18.00 Avg	Pourcentage en avantage numérique 20.0% 4 GF	Début de zone offensive 34.5%
Buts contre 17 1.89 GAA	Tirs contre 134 14.89 Avg	Pourcentage en désavantage numérique 91.4%% 3 GA	Début de la zone défensive 36.8%

Informations de l'équipe
	Directeur général
	Entraîneur	Dave Tippett
	Division	Northeast
	Conférence	Eastern
	Capitaine	Nicklas Backstrom
	Assistant #1	Luke Schenn
	Assistant #2	Phil Kessel
Informations de l’aréna
	Nom
	Capacité	18,000
	Assistance	12,638
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	26
	Limite contact	46 / 250
	Espoirs	34
Plafond salarial
	Cap Salarial de la Saison estimé	59,583,337$
	Plafond salarial disponible	15,416,663$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	2,374,284$
	Dépenses annuelles à ce jour	9,613,568$
	Revenus de la saison estimés	16,026,417$
	Dépenses de la saison estimées	52,273,776$
	Compte bancaire actuel	41,674,604$
	Compte bancaire projeté	1,354,325$

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	Nicklas Backstrom (C)	0	X				100.00	88	74	91	99	91	99	99	99	92	99	95	92	95	75	88	87	87	86	2	22	4	6,700,000$
2	Bobby Ryan	0			X		100.00	93	84	83	88	91	99	99	99	73	88	97	81	97	75	81	87	87	82	2	22	4	5,100,000$
3	James Neal	0		X			100.00	99	94	87	92	91	99	99	99	72	88	92	84	92	75	79	87	87	82	2	22	2	2,875,000$
4	Phil Kessel (A)	0			X		100.00	72	96	99	97	79	99	99	97	78	88	97	76	97	75	81	87	87	81	2	22	4	5,400,000$
5	Kris Versteeg	0		X			100.00	77	93	95	94	79	99	99	97	74	85	87	85	87	77	78	87	87	80	2	23	2	3,083,333$
6	Nikolai Kulemin	0		X			100.00	97	77	99	90	97	99	99	95	73	82	83	85	83	77	79	87	87	80	2	23	2	2,350,000$
7	Tyler Bozak (R)	0	X				100.00	88	77	99	91	85	87	87	99	97	92	82	84	82	77	75	87	87	80	2	23	1	3,725,000$
8	Colby Armstrong	0			X		100.00	84	95	88	90	86	99	99	93	77	78	82	88	82	85	83	87	87	79	2	27	3	3,000,000$
9	Mikhail Grabovski	0	X				100.00	77	76	99	98	79	91	91	92	89	91	80	79	80	81	81	87	87	79	2	25	2	2,900,000$
10	Clarke MacArthur	0		X			100.00	81	93	91	91	83	99	99	92	74	81	83	77	83	79	80	87	87	78	2	24	1	1,100,000$
11	John Mitchell	0	X				100.00	91	95	93	90	89	91	91	91	87	84	75	85	75	79	80	87	87	78	2	24	1	725,000$
12	Jeremy Williams (R)	0			X		100.00	80	77	99	88	82	70	70	99	67	76	93	78	93	81	81	87	87	76	2	25	1	500,000$
13	Dion Phaneuf	0				X	100.00	99	95	83	94	94	99	99	88	67	85	88	87	88	79	83	87	87	82	2	24	4	6,500,000$
14	Francois Beauchemin	0				X	100.00	87	94	96	90	92	99	99	83	88	86	77	94	77	89	89	87	87	82	2	29	2	3,800,000$
15	Tomas Kaberle	0				X	100.00	80	76	99	99	93	99	99	93	67	98	81	77	81	93	94	87	87	82	2	31	1	4,250,000$
16	Trevor Daley	0				X	100.00	78	96	99	99	86	98	98	87	67	83	79	91	79	83	79	87	87	81	2	26	1	2,300,000$
17	Luke Schenn (A)	0				X	100.00	99	98	91	88	94	98	98	82	67	79	77	88	77	67	72	87	87	79	2	20	1	2,975,000$
18	Carl Gunnarsson (R)	0				X	100.00	86	76	99	90	86	81	81	84	67	87	77	93	77	77	76	87	87	78	2	23	1	800,000$
Rayé
Équipe Mineure
1	Chris Neil	0			X		100.00	99	90	42	75	92	96	96	93	77	78	79	77	79	91	88	87	87	76	2	30	1	750,000$
2	Fredrik Sjostrom	0		X			100.00	89	77	99	93	95	92	92	87	67	75	70	84	70	83	79	87	87	76	2	26	1	750,000$
3	Tim Kennedy (R)	0		X			100.00	85	73	91	91	75	99	99	88	76	79	77	78	77	77	75	87	87	76	2	23	1	500,000$
4	Luca Caputi (R)	0		X			100.00	87	75	95	90	88	82	82	96	73	81	73	77	73	73	73	87	87	75	2	21	1	743,000$
5	Michael Zigomanis (R)	0	X				100.00	81	98	81	81	87	73	73	95	91	77	73	89	73	87	84	87	87	75	2	28	1	500,000$
6	Christian Hanson (R)	0	X				100.00	90	75	95	81	89	83	83	93	88	76	71	83	71	77	73	87	87	74	2	23	1	569,624$
7	Jared Boll	0			X		100.00	97	94	48	91	92	96	96	93	67	69	71	75	71	77	77	87	87	74	2	23	1	725,000$
8	Michal Repik (R)	0			X		100.00	86	75	99	93	78	80	80	93	89	72	77	78	77	73	71	87	87	74	2	21	1	500,000$
9	Mike Brown	0			X		100.00	94	98	70	83	87	95	95	84	67	67	73	82	73	91	77	87	87	74	2	24	1	537,500$
10	Brad Winchester	0		X			100.00	99	94	61	76	99	90	90	85	70	72	70	77	70	87	83	87	87	73	2	28	1	750,000$
11	Colton Orr	0			X		100.00	93	92	42	75	97	99	99	85	77	68	71	76	71	85	79	87	87	72	2	27	3	1,000,000$
12	Brendan Witt	0				X	100.00	99	95	82	82	97	76	76	73	67	72	73	88	73	99	99	87	87	77	2	34	1	750,000$
13	Jeff Finger	0				X	100.00	97	99	94	81	91	80	80	83	67	82	73	88	73	91	86	87	87	77	2	30	2	3,500,000$
14	Mike Komisarek	0				X	100.00	99	96	82	83	99	72	72	69	67	75	67	87	67	85	85	87	87	75	2	27	4	4,500,000$
15	Boris Valabik	0				X	100.00	84	98	70	87	99	74	74	80	67	73	67	85	67	77	76	87	87	74	2	23	1	500,000$
16	Brett Lebda	0				X	100.00	80	75	97	88	83	88	88	81	67	76	69	78	69	85	81	87	87	74	2	27	2	1,450,000$
17	David Schlemko (R)	0				X	100.00	77	75	97	93	83	77	77	88	67	82	73	79	73	75	76	87	87	74	2	22	1	750,000$
18	Oscar Moller	0	X				100.00	84	77	99	91	81	81	81	87	74	72	75	76	75	71	74	87	87	72	2	20	1	500,000$
19	Jay Rosehill (R)	0		X			100.00	96	90	42	78	94	70	70	75	71	70	71	77	71	79	77	87	87	69	2	24	1	500,000$
20	Tim Brent (R)	0	X				100.00	87	78	99	85	82	62	62	67	80	67	67	76	67	81	79	87	87	67	2	25	1	575,000$
21	Brayden Irwin (R)	0	X				100.00	75	76	99	79	95	63	63	67	78	67	67	78	67	75	74	87	87	66	2	22	1	500,000$
22	Nazem Kadri (R)	0	X				100.00	73	77	99	93	73	62	62	67	74	67	67	77	67	69	75	87	87	66	2	19	3	1,720,000$
23	Alexander Sulzer (R)	0				X	100.00	79	77	99	79	89	68	68	68	67	73	67	81	67	81	83	87	87	70	2	25	1	650,000$
24	Matt Lashoff (R)	0				X	100.00	74	96	76	89	89	63	63	67	67	67	67	76	67	77	78	87	87	68	2	23	1	500,000$

	MOYENNE D’ÉQUIPE						100.00	87	86	87	88	88	86	86	87	75	79	77	82	77	80	80	87	87	76

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	Dwayne Roloson	0	100.00	99	99	77	97	99	97	97	99	99	93	98	99	99	18	87	92	2	40	1	750,000$
2	Jaroslav Halak	0	100.00	99	99	76	93	99	99	99	99	99	98	99	93	88	52	87	92	2	25	1	750,000$
Rayé
Équipe Mineure
1	Jean-Sebastien Giguere	0	100.00	94	98	93	97	96	98	98	97	98	95	97	98	95	32	87	92	2	33	1	6,000,000$
2	Jonas Gustavsson (R)	0	100.00	95	95	88	99	95	97	97	96	97	94	96	85	83	47	87	90	2	25	2	1,350,000$

	MOYENNE D’ÉQUIPE		100.00	97	98	84	97	97	98	98	98	98	95	98	94	91	37	87	92

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Tippett	94	94	83	93	91	87	70	CAN	49	4	2,304,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSS	S1	S2	S3
1	Nicklas Backstrom	Maple Leafs	C	9	5	4	9	0	2	5	5	26	15	15	19.23%	0	188	20.94	0	3	3	0	13	2	42	2	0	45.95%	148	12	1	0.96	1	1	1	2
2	Bobby Ryan	Maple Leafs	RW	9	3	5	8	0	10	3	6	15	3	8	20.00%	0	139	15.48	2	1	3	5	13	0	0	0	1	33.33%	12	11	1	1.15	1	0	1	0
3	James Neal	Maple Leafs	LW	9	2	6	8	0	2	10	4	18	8	12	11.11%	3	187	20.88	1	2	3	2	13	1	41	0	0	41.67%	12	13	5	0.85	1	0	0	1
4	Jeremy Williams	Maple Leafs	RW	9	2	1	3	3	2	4	1	11	3	7	18.18%	0	83	9.24	0	0	0	0	0	0	0	0	0	100.00%	1	11	1	0.72	0	1	0	0
5	Clarke MacArthur	Maple Leafs	LW	9	0	2	2	3	0	3	0	4	7	6	0%	1	89	9.98	0	0	0	0	0	0	4	0	0	50.00%	2	8	1	0.45	0	0	0	0
6	Francois Beauchemin	Maple Leafs	D	9	0	2	2	3	2	5	12	4	3	2	0%	7	224	24.97	0	0	0	1	17	0	35	0	0	0%	0	0	10	0.18	1	0	0	0
7	John Mitchell	Maple Leafs	C	9	0	2	2	3	4	5	4	1	0	3	0%	0	87	9.72	0	0	0	0	0	0	2	0	0	57.50%	40	4	2	0.46	0	0	0	0
8	Kris Versteeg	Maple Leafs	LW	9	0	2	2	-1	0	5	5	10	9	10	0%	0	155	17.29	0	1	1	0	13	1	17	0	0	50.00%	10	8	2	0.26	0	0	0	0
9	Mikhail Grabovski	Maple Leafs	C	9	1	1	2	-2	4	7	3	12	3	9	8.33%	1	115	12.87	0	0	0	0	0	0	0	0	0	47.92%	48	7	1	0.35	0	0	0	0
10	Phil Kessel	Maple Leafs	RW	9	1	1	2	-1	4	4	2	14	6	5	7.14%	0	131	14.63	0	1	1	0	13	0	0	0	0	50.00%	4	14	2	0.30	0	1	0	0
11	Tomas Kaberle	Maple Leafs	D	9	0	2	2	0	4	7	0	4	3	2	0%	6	189	21.03	0	0	0	0	9	1	23	0	0	0%	0	3	4	0.21	0	0	0	0
12	Tyler Bozak	Maple Leafs	C	9	1	1	2	-1	4	8	5	7	5	8	14.29%	2	148	16.49	1	0	1	2	13	1	12	1	0	54.29%	70	6	3	0.27	0	0	0	0
13	Carl Gunnarsson	Maple Leafs	D	9	0	1	1	-3	0	4	10	1	2	3	0%	1	126	14.11	0	0	0	0	0	0	0	0	0	0%	0	0	2	0.16	0	0	0	0
14	Colby Armstrong	Maple Leafs	RW	9	1	0	1	-2	2	7	3	8	3	7	12.50%	2	115	12.88	0	0	0	0	0	0	0	1	0	0%	1	5	1	0.17	0	0	1	0
15	Dion Phaneuf	Maple Leafs	D	9	1	0	1	3	14	8	4	9	1	3	11.11%	11	218	24.24	0	0	0	0	18	0	25	0	0	0%	0	3	12	0.09	0	0	0	1
16	Luke Schenn	Maple Leafs	D	9	0	1	1	-3	12	6	2	3	1	2	0%	2	132	14.76	0	0	0	0	0	0	5	0	0	0%	0	0	4	0.15	0	0	0	0
17	Nikolai Kulemin	Maple Leafs	LW	9	0	1	1	-2	2	8	5	11	4	9	0%	1	118	13.14	0	0	0	0	0	0	0	0	0	0%	3	9	4	0.17	0	0	0	0
18	Trevor Daley	Maple Leafs	D	9	0	0	0	0	0	10	8	4	2	2	0%	11	194	21.66	0	0	0	0	10	0	32	0	0	0%	0	0	10	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				162	17	32	49	0	68	109	79	162	78	113	10.49%	48	2648	16.35	4	8	12	10	139	6	243	4	1	48.43%	351	114	66	0.37	4	3	3	4

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Dwayne Roloson	Maple Leafs	9	4	4	1	0.881	1.77	543	2	2	16	134	57	0	0	0.333	3	9	0	1	1	0
Statistiques d’équipe totales ou en moyenne			9	4	4	1	0.881	1.77	543	2	2	16	134	57	0	0		3	9	0	1	1	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Bobby Ryan	Maple Leafs	RW	22	2002-11-03	USA	No	208 Lbs	6 ft2	No	No	Assign Manually	No	No	4		False	False	Pro & Farm	5,100,000$	4,307,767$	5,100,000$	4,307,767$	No	5,100,000$	5,100,000$	5,100,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Carl Gunnarsson	Maple Leafs	D	23	2001-11-03	SWE	Yes	196 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	800,000$	675,728$	800,000$	675,728$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Clarke MacArthur	Maple Leafs	LW	24	2000-11-03	CAN	No	191 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	1,100,000$	929,126$	1,100,000$	929,126$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Colby Armstrong	Maple Leafs	RW	27	1997-11-03	CAN	No	195 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	3,000,000$	2,533,981$	3,000,000$	2,533,981$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Dion Phaneuf	Maple Leafs	D	24	2000-11-03	CAN	No	214 Lbs	6 ft3	No	No	N/A	No	No	4		False	False	Pro & Farm	6,500,000$	5,490,291$	6,500,000$	5,490,291$	No	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Dwayne Roloson	Maple Leafs	G	40	1984-11-03	CAN	No	180 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	633,495$	750,000$	633,495$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Francois Beauchemin	Maple Leafs	D	29	1995-11-03	CAN	No	213 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	3,800,000$	3,209,709$	3,800,000$	3,209,709$	No	3,800,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
James Neal	Maple Leafs	LW	22	2002-11-03	CAN	No	208 Lbs	6 ft2	No	No	Assign Manually	No	No	2		False	False	Pro & Farm	2,875,000$	2,428,398$	2,875,000$	2,428,398$	No	2,875,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jaroslav Halak	Maple Leafs	G	25	1999-11-03	SVK	No	179 Lbs	5 ft11	No	No	Assign Manually	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	633,495$	750,000$	633,495$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jeremy Williams	Maple Leafs	RW	25	1999-11-03	CAN	Yes	188 Lbs	5 ft11	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	500,000$	422,330$	500,000$	422,330$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
John Mitchell	Maple Leafs	C	24	2000-11-03	CAN	No	204 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	725,000$	612,379$	725,000$	612,379$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kris Versteeg	Maple Leafs	LW	23	2001-11-03	CAN	No	182 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	3,083,333$	2,604,369$	3,083,333$	2,604,369$	No	3,083,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Luke Schenn	Maple Leafs	D	20	2004-11-03	CAN	No	215 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	2,975,000$	2,512,864$	2,975,000$	2,512,864$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mikhail Grabovski	Maple Leafs	C	25	1999-11-03	DEU	No	183 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	2,900,000$	2,449,515$	2,900,000$	2,449,515$	No	2,900,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nicklas Backstrom	Maple Leafs	C	22	2002-11-03	SWE	No	210 Lbs	6 ft1	No	No	Assign Manually	No	No	4		False	False	Pro & Farm	6,700,000$	5,659,223$	6,700,000$	5,659,223$	No	6,700,000$	6,700,000$	6,700,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nikolai Kulemin	Maple Leafs	LW	23	2001-11-03	RUS	No	225 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	2,350,000$	1,984,951$	2,350,000$	1,984,951$	No	2,350,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Phil Kessel	Maple Leafs	RW	22	2002-11-03	USA	No	180 Lbs	5 ft11	No	No	N/A	No	No	4		False	False	Pro & Farm	5,400,000$	4,561,165$	5,400,000$	4,561,165$	No	5,400,000$	5,400,000$	5,400,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Tomas Kaberle	Maple Leafs	D	31	1993-11-03	CZE	No	214 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	4,250,000$	3,589,806$	4,250,000$	3,589,806$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Trevor Daley	Maple Leafs	D	26	1998-11-03	CAN	No	199 Lbs	5 ft11	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	2,300,000$	1,942,718$	2,300,000$	1,942,718$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tyler Bozak	Maple Leafs	C	23	2001-11-03	CAN	Yes	195 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	3,725,000$	3,146,359$	3,725,000$	3,146,359$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	25.00	199 Lbs	6 ft1	1.95	2,979,167$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,583,333$	41,708,333$	26,700,000$	23,700,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	James Neal	Nicklas Backstrom	Bobby Ryan	40	1	2	2
2	Kris Versteeg	Tyler Bozak	Phil Kessel	30	1	2	2
3	Nikolai Kulemin	Mikhail Grabovski	Colby Armstrong	20	1	2	2
4	Clarke MacArthur	John Mitchell	Jeremy Williams	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dion Phaneuf	Francois Beauchemin	40	1	2	2
2	Tomas Kaberle	Trevor Daley	30	1	2	2
3	Luke Schenn	Carl Gunnarsson	20	1	2	2
4	Dion Phaneuf	Francois Beauchemin	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	James Neal	Nicklas Backstrom	Bobby Ryan	60	1	2	2
2	Kris Versteeg	Tyler Bozak	Phil Kessel	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dion Phaneuf	Francois Beauchemin	60	1	2	2
2	Tomas Kaberle	Trevor Daley	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nicklas Backstrom	James Neal	60	1	2	2
2	Tyler Bozak	Kris Versteeg	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dion Phaneuf	Francois Beauchemin	60	1	2	2
2	Tomas Kaberle	Trevor Daley	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nicklas Backstrom	60	1	2	2	Dion Phaneuf	Francois Beauchemin	60	1	2	2
2	Tyler Bozak	40	1	2	2	Tomas Kaberle	Trevor Daley	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nicklas Backstrom	James Neal	60	1	2	2
2	Tyler Bozak	Kris Versteeg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dion Phaneuf	Francois Beauchemin	60	1	2	2
2	Tomas Kaberle	Trevor Daley	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
James Neal	Nicklas Backstrom	Bobby Ryan	Dion Phaneuf	Francois Beauchemin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
James Neal	Nicklas Backstrom	Bobby Ryan	Dion Phaneuf	Francois Beauchemin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kris Versteeg, Nikolai Kulemin, Tyler Bozak	Kris Versteeg, Nikolai Kulemin	Kris Versteeg

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Trevor Daley, Luke Schenn, Carl Gunnarsson	Trevor Daley	Trevor Daley, Luke Schenn

Tirs de pénalité
Nicklas Backstrom, Bobby Ryan, James Neal, Phil Kessel, Kris Versteeg

Gardien
#1 : Dwayne Roloson, #2 : Jaroslav Halak

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	Bruins	3	1	2	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	2	0	2	2	0	2	0	0	0	0	0	4	7	-3	2	0.333	6	11	17	0	1	1	2	3	0	45	9	12	24	0	46	11	30	30	7	1	14.29%	15	1	93.33%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	67	43	64	24	48	22
2	Canadiens	4	3	1	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	4	5	-1	6	0.750	9	18	27	0	1	4	3	2	0	73	22	20	31	0	58	24	24	56	5	2	40.00%	13	2	84.62%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	88	58	84	33	66	31
3	Flyers	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	21	7	6	8	0	15	4	10	10	3	0	0.00%	4	0	100.00%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	23	15	20	8	15	7
4	Hurricanes	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	1	0	0	23	2	9	10	5	15	9	6	13	5	1	20.00%	3	0	100.00%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	27	17	20	8	17	8
	Total	9	4	4	0	0	0	0	1	17	17	0	4	3	1	0	0	0	0	0	8	3	5	5	1	3	0	0	0	0	1	9	14	-5	9	0.500	17	32	49	0	2	5	7	5	0	162	40	47	73	5	134	48	70	109	20	4	20.00%	35	3	91.43%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	207	135	190	74	147	70
	_Since Last GM Reset	9	4	4	0	0	0	0	1	17	17	0	4	3	1	0	0	0	0	0	8	3	5	5	1	3	0	0	0	0	1	9	14	-5	9	0.500	17	32	49	0	2	5	7	5	0	162	40	47	73	5	134	48	70	109	20	4	20.00%	35	3	91.43%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	207	135	190	74	147	70
	_Vs Conference	9	4	4	0	0	0	0	1	17	17	0	4	3	1	0	0	0	0	0	8	3	5	5	1	3	0	0	0	0	1	9	14	-5	9	0.500	17	32	49	0	2	5	7	5	0	162	40	47	73	5	134	48	70	109	20	4	20.00%	35	3	91.43%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	207	135	190	74	147	70
	_Vs Division	7	4	3	0	0	0	0	0	15	13	2	3	3	0	0	0	0	0	0	7	1	6	4	1	3	0	0	0	0	0	8	12	-4	8	0.571	15	29	44	0	2	5	5	5	0	118	31	32	55	0	104	35	54	86	12	3	25.00%	28	3	89.29%	0	67	121	55.37%	65	129	50.39%	38	101	37.62%	156	102	148	57	114	54

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
9	9	L2	17	32	49	162	134	48	70	109	0	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	4	0	0	0	1	17	17

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	3	0	0	0	1	9	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	0	0	1

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
20	4	20.00%	35	3	91.43%	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
40	47	73	5	5	7	5	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
67	121	55.37%	65	129	50.39%	38	101	37.62%

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
207	135	190	74	147	70

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
1 - 2024-11-04	1	Maple Leafs	3	Canadiens	2	W			Sommaire du match
6 - 2024-11-09	9	Canadiens	0	Maple Leafs	2	W			Sommaire du match
7 - 2024-11-10	16	Bruins	0	Maple Leafs	2	W			Sommaire du match
8 - 2024-11-11	24	Flyers	2	Maple Leafs	1	L			Sommaire du match
9 - 2024-11-12	28	Maple Leafs	2	Bruins	4	L			Sommaire du match
11 - 2024-11-14	34	Maple Leafs	1	Hurricanes	2	L	X	X	Sommaire du match
12 - 2024-11-15	40	Canadiens	1	Maple Leafs	3	W			Sommaire du match
14 - 2024-11-17	46	Maple Leafs	1	Canadiens	3	L			Sommaire du match
15 - 2024-11-18	50	Maple Leafs	2	Bruins	3	L			Sommaire du match
17 - 2024-11-20	55	Bruins	-	Maple Leafs	-
19 - 2024-11-22	64	Maple Leafs	-	Bruins	-
20 - 2024-11-23	68	Lightning	-	Maple Leafs	-
21 - 2024-11-24	73	Maple Leafs	-	Lightning	-
22 - 2024-11-25	80	Flyers	-	Maple Leafs	-
24 - 2024-11-27	87	Maple Leafs	-	Red Wings	-
26 - 2024-11-29	93	Sharks	-	Maple Leafs	-
28 - 2024-12-01	100	Bruins	-	Maple Leafs	-
29 - 2024-12-02	104	Maple Leafs	-	Flyers	-
30 - 2024-12-03	111	Maple Leafs	-	Red Wings	-
32 - 2024-12-05	115	Avalanche	-	Maple Leafs	-
33 - 2024-12-06	122	Maple Leafs	-	Blackhawks	-
35 - 2024-12-08	128	Blackhawks	-	Maple Leafs	-
36 - 2024-12-09	133	Maple Leafs	-	Canucks	-
39 - 2024-12-12	139	Bruins	-	Maple Leafs	-
41 - 2024-12-14	148	Canadiens	-	Maple Leafs	-
42 - 2024-12-15	154	Maple Leafs	-	Flames	-
44 - 2024-12-17	159	Canucks	-	Maple Leafs	-
45 - 2024-12-18	166	Maple Leafs	-	Canadiens	-
47 - 2024-12-20	171	Maple Leafs	-	Flyers	-
48 - 2024-12-21	176	Canadiens	-	Maple Leafs	-
51 - 2024-12-24	184	Lightning	-	Maple Leafs	-
52 - 2024-12-25	191	Maple Leafs	-	Flames	-
53 - 2024-12-26	196	Flames	-	Maple Leafs	-
54 - 2024-12-27	204	Red Wings	-	Maple Leafs	-
55 - 2024-12-28	211	Maple Leafs	-	Avalanche	-
57 - 2024-12-30	216	Maple Leafs	-	Canadiens	-
58 - 2024-12-31	221	Canucks	-	Maple Leafs	-
59 - 2025-01-01	227	Bruins	-	Maple Leafs	-
61 - 2025-01-03	232	Maple Leafs	-	Lightning	-
65 - 2025-01-07	240	Maple Leafs	-	Canadiens	-
66 - 2025-01-08	244	Maple Leafs	-	Hurricanes	-
67 - 2025-01-09	249	Hurricanes	-	Maple Leafs	-
69 - 2025-01-11	256	Maple Leafs	-	Hurricanes	-
70 - 2025-01-12	261	Canadiens	-	Maple Leafs	-
72 - 2025-01-14	266	Maple Leafs	-	Avalanche	-
73 - 2025-01-15	273	Hurricanes	-	Maple Leafs	-
75 - 2025-01-17	278	Maple Leafs	-	Blackhawks	-
76 - 2025-01-18	283	Blackhawks	-	Maple Leafs	-
78 - 2025-01-20	292	Maple Leafs	-	Sharks	-
79 - 2025-01-21	296	Sharks	-	Maple Leafs	-
80 - 2025-01-22	304	Maple Leafs	-	Canucks	-
81 - 2025-01-23	308	Flames	-	Maple Leafs	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
84 - 2025-01-26	316	Lightning	-	Maple Leafs	-
86 - 2025-01-28	324	Maple Leafs	-	Sharks	-
87 - 2025-01-29	327	Maple Leafs	-	Flyers	-
89 - 2025-01-31	334	Red Wings	-	Maple Leafs	-
92 - 2025-02-03	342	Avalanche	-	Maple Leafs	-
94 - 2025-02-05	348	Hurricanes	-	Maple Leafs	-
96 - 2025-02-07	353	Maple Leafs	-	Bruins	-
97 - 2025-02-08	356	Maple Leafs	-	Lightning	-
99 - 2025-02-10	364	Flyers	-	Maple Leafs	-
101 - 2025-02-12	368	Maple Leafs	-	Bruins	-

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	110	70	45	30	300
Assistance	18,870	14,097	5,600	9,603	2,381
Attendance PCT	78.63%	70.49%	70.00%	60.02%	59.53%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
27	12638 - 70.21%	593,571$	2,374,284$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
9,613,568$	59,583,333$	0$	2,304,000$0$	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
578,479$	9,255,664$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
16,026,417$	87	600,848$	52,273,776$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
56,346,696$	41,674,604$	1,354,325$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
59,583,337$	15,416,663$	75,000,000$	24,583,337$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

James Neal	AGE:22	PO:87	OV:82
Kris Versteeg	AGE:23	PO:87	OV:80
Nikolai Kulemin	AGE:23	PO:87	OV:80
Clarke MacArthur	AGE:24	PO:87	OV:78
Fredrik Sjostrom	AGE:26	PO:87	OV:76
Tim Kennedy (R)	AGE:23	PO:87	OV:76
Luca Caputi (R)	AGE:21	PO:87	OV:75
Brad Winchester	AGE:28	PO:87	OV:73
Jay Rosehill (R)	AGE:24	PO:87	OV:69

Nicklas Backstrom	AGE:22	PO:87	OV:86
Tyler Bozak (R)	AGE:23	PO:87	OV:80
Mikhail Grabovski	AGE:25	PO:87	OV:79
John Mitchell	AGE:24	PO:87	OV:78
Michael Zigomanis (R)	AGE:28	PO:87	OV:75
Christian Hanson (R)	AGE:23	PO:87	OV:74
Oscar Moller	AGE:20	PO:87	OV:72
Tim Brent (R)	AGE:25	PO:87	OV:67
Brayden Irwin (R)	AGE:22	PO:87	OV:66
Nazem Kadri (R)	AGE:19	PO:87	OV:66

Bobby Ryan	AGE:22	PO:87	OV:82
Phil Kessel	AGE:22	PO:87	OV:81
Colby Armstrong	AGE:27	PO:87	OV:79
Chris Neil	AGE:30	PO:87	OV:76
Jeremy Williams (R)	AGE:25	PO:87	OV:76
Jared Boll	AGE:23	PO:87	OV:74
Michal Repik (R)	AGE:21	PO:87	OV:74
Mike Brown	AGE:24	PO:87	OV:74
Colton Orr	AGE:27	PO:87	OV:72

Défense #1

Défense #2

Gardien

Dion Phaneuf	AGE:24	PO:87	OV:82
Francois Beauchemin	AGE:29	PO:87	OV:82
Tomas Kaberle	AGE:31	PO:87	OV:82
Trevor Daley	AGE:26	PO:87	OV:81
Luke Schenn	AGE:20	PO:87	OV:79
Carl Gunnarsson (R)	AGE:23	PO:87	OV:78
Brendan Witt	AGE:34	PO:87	OV:77

Jeff Finger	AGE:30	PO:87	OV:77
Mike Komisarek	AGE:27	PO:87	OV:75
Boris Valabik	AGE:23	PO:87	OV:74
Brett Lebda	AGE:27	PO:87	OV:74
David Schlemko (R)	AGE:22	PO:87	OV:74
Alexander Sulzer (R)	AGE:25	PO:87	OV:70
Matt Lashoff (R)	AGE:23	PO:87	OV:68

Jaroslav Halak	AGE:25	PO:52	OV:92
Jean-Sebastien Giguere	AGE:33	PO:32	OV:92
Dwayne Roloson	AGE:40	PO:18	OV:92
Jonas Gustavsson (R)	AGE:25	PO:47	OV:90

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
Andrew Crescenzi	Maple Leafs	0	0
Andrew MacWilliam	Maple Leafs	0	0
Barron Smith	Maple Leafs	0	0
Ben Scrivens	Maple Leafs	0	0
Ben Winnett	Maple Leafs	0	0
Brad Ross	Maple Leafs	0	0
Christian Hanson	Maple Leafs	0	0
Dale Mitchell	Maple Leafs	0	0
Daniel Brodin	Maple Leafs	0	0
Eric Knodel	Maple Leafs	0	0
Grant Rollheiser	Maple Leafs	0	0
Greg McKegg	Maple Leafs	0	0
Greg Scott	Maple Leafs	0	0
James Reimer	Maple Leafs	0	0
Jamie Devane	Maple Leafs	0	0
Jarome Flaake	Maple Leafs	0	0
Jerry D'Amigo	Maple Leafs	0	0
Jesse Blacker	Maple Leafs	0	0
Josh Nicholls	Maple Leafs	0	0
Juraj Mikus	Maple Leafs	0	0
Jussi Rynnas	Maple Leafs	0	0
Keith Aulie	Maple Leafs	0	0
Kenny Ryan	Maple Leafs	0	0
KorbinianHolzer	Maple Leafs	0	0
Leo Komarov	Maple Leafs	0	0
Marcel Mueller	Maple Leafs	0	0
Matt Frattin	Maple Leafs	0	0
Mikhail Stefanovich	Maple Leafs	0	0
Petter Granberg	Maple Leafs	0	0
Richard Greenop	Maple Leafs	0	0
Robert Slaney	Maple Leafs	0	0
Sam Carrick	Maple Leafs	0	0
Simon Gysbers	Maple Leafs	0	0
Sondre Olden	Maple Leafs	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2011		Tor		Tor	Tor	Tor	Tor
2012	Tor	Tor		Tor	Tor	Tor
2013	Tor	Tor	Tor	Tor	Tor	Tor	Tor
2014	Tor	Tor	Tor	Tor	Tor	Tor	Tor
2015	Tor	Tor	Tor	Tor	Tor	Tor	Tor
Choix au repêchage conditionnel

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

Maple Leafs Historique de transactions

[11/18/2024 7:38:35 AM] - New Record for Team's Most Hits (19) in 1 Game for Maple Leafs!
[11/18/2024 7:38:35 AM] - New Record for Team's Most Hits (19) in 1 Game for Maple Leafs!
[11/16/2024 7:26:03 AM] - New Record for Team's Most Shots (26) in 1 Game for Maple Leafs!
[11/15/2024 7:29:31 AM] - New Record for Team's Most Shots Blocked (9) in 1 Game for Maple Leafs!
[11/15/2024 7:29:31 AM] - New Record for Team's Most Shots (23) in 1 Game for Maple Leafs!
[11/12/2024 7:17:56 AM] - New Record for Team's Most Shots (21) in 1 Game for Maple Leafs!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Penalties Minutes (16) in 1 Game for Maple Leafs!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Hits (14) in 1 Game for Maple Leafs!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Shots Blocked (8) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Hits (10) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Penalties Minutes (8) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Shots (17) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Points (9) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Assists (6) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Goals (3) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Hits (10) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Penalties Minutes (8) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Points (9) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Assists (6) in 1 Game for Maple Leafs!
[11/5/2024 7:56:37 AM] - New Record for Team's Most Goals (3) in 1 Game for Maple Leafs!
[10/21/2024 7:37:18 AM] - Alexander Sulzer was added to Maple Leafs.
[10/19/2024 7:26:29 AM] - Jeff Finger is no longer as assistant for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Jeff Finger has been selected as assistant for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Unknown Player is no longer as assistant for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Chris Neil has been selected as assistant for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Unknown Player is no longer as assistant for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Boris Valabik has been selected as captain for Toronto Marlies.
[10/19/2024 7:26:23 AM] - Unknown Player is no longer captain for Toronto Marlies.
[10/16/2024 9:21:25 AM] - Tim Kennedy was added to Maple Leafs.
[10/16/2024 9:19:10 AM] - Jeremy Williams was added to Maple Leafs.

[11/19/2024 7:25:31 AM] Auto Roster Partial Function has been run for Maple Leafs.
[11/19/2024 7:25:31 AM] Toronto Marlies roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[11/19/2024 7:25:27 AM] Successfully loaded Maple Leafs lines done with Web Base Client.
[11/18/2024 7:38:35 AM] New Record for Team's Most Hits (19) in 1 Game for Maple Leafs!
[11/18/2024 7:38:35 AM] New Record for Team's Most Hits (19) in 1 Game for Maple Leafs!
[11/16/2024 7:26:03 AM] New Record for Team's Most Shots (26) in 1 Game for Maple Leafs!
[11/15/2024 7:29:31 AM] New Record for Team's Most Shots Blocked (9) in 1 Game for Maple Leafs!
[11/15/2024 7:29:31 AM] New Record for Team's Most Shots (23) in 1 Game for Maple Leafs!
[11/12/2024 7:17:56 AM] New Record for Team's Most Shots (21) in 1 Game for Maple Leafs!
[11/11/2024 7:26:38 AM] New Record for Team's Most Penalties Minutes (16) in 1 Game for Maple Leafs!
[11/10/2024 7:15:22 AM] New Record for Team's Most Hits (14) in 1 Game for Maple Leafs!
[11/10/2024 7:15:22 AM] New Record for Team's Most Shots Blocked (8) in 1 Game for Maple Leafs!

Pas de blessure ou de suspension.

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

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

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

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

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

	Maple Leafs
	GP: 9 \| W: 4 \| L: 4 \| OTL: 1 \| P: 9 GF: 17 \| GA: 17 \| PP%: 20.00% \| PK%: 91.43% DG: \| Morale : 1 \| Moyenne d’équipe : 81 Prochains matchs #55 vs Bruins