Canadian Hockey League

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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Jocelyn Charette
	Entraîneur	Jared Bednar
	Division	Atlantic
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Fleat Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 55
	Espoirs	8
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	258,941,832$
	Compte bancaire projeté	258,941,832$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	783-796-158 (0.451%)
	Apparitions séries éliminatoires	10
	Historique séries éliminatoires (W-L)	58-52
	Stanley Cup	2

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	Martin Necas			X		100.00	66	50	82	98	65	91	96	98	40	99	90	65	70	78	85	55	20	82	0	27	8	11,500,000$
2	Charlie Coyle	X				100.00	72	57	87	84	78	85	99	74	86	78	70	80	82	92	89	20	20	76	0	34	2	7,500,000$
3	Mikael Granlund	X				100.00	53	45	84	89	54	87	83	74	85	71	77	75	72	92	90	20	20	73	0	34	3	7,000,000$
4	Logan Cooley		X			100.00	63	46	80	90	57	84	80	78	79	69	86	71	40	68	76	80	20	73	0	22	1	925,000$
5	Alexis Lafreniere		X			100.00	64	48	85	87	61	84	99	74	40	73	74	72	73	74	79	65	20	72	0	25	3	9,000,000$
6	Claude Giroux	X				100.00	59	44	85	87	52	82	99	70	98	75	64	76	68	99	91	0	34	72	0	38	3	5,000,000$
7	Simon Holmstrom			X		100.00	45	51	86	82	67	82	97	66	40	63	70	87	69	74	78	65	20	70	0	25	6	7,500,000$
8	Frank Nazar			X		100.00	53	44	82	88	52	85	88	70	82	72	69	74	69	68	77	80	20	70	0	22	2	925,000$
9	Mason McTavish	X				100.00	70	54	79	82	73	80	94	67	84	66	69	65	99	70	75	75	20	69	0	23	1	7,000,000$
10	Cameron Hughes		X			100.00	57	54	75	86	53	74	64	68	40	70	51	70	99	84	79	40	23	66	0	30	2	1,000,000$
11	Zack Bolduc			X		100.00	91	45	83	82	55	77	96	61	40	59	63	65	40	70	74	75	20	66	0	23	1	925,000$
12	Kailer Yamamoto		X			100.00	59	40	85	84	44	74	83	61	40	54	68	70	90	80	77	50	20	65	0	28	1	2,600,000$
13	Darren Raddysh				X	100.00	62	55	70	95	64	87	93	90	40	94	87	74	40	84	86	40	20	79	0	30	2	1,500,000$
14	Brandon Montour				X	100.00	67	51	76	85	61	87	87	69	40	67	71	69	90	88	88	30	20	71	0	32	2	3,750,000$
15	Nate Schmidt				X	100.00	62	48	85	79	60	82	99	57	40	57	58	79	40	94	88	15	32	71	0	35	1	1,250,000$
16	Joel Hanley				X	100.00	54	50	77	77	52	74	89	49	40	48	50	77	40	94	84	15	20	66	0	35	1	1,000,000$
17	Nikita Zaitsev				X	100.00	83	48	83	77	61	55	50	54	40	51	56	67	40	94	75	15	18	63	0	35	1	1,500,000$
18	Andreas Englund				X	100.00	92	84	65	75	74	56	51	36	40	36	37	69	40	84	70	40	20	61	0	30	1	1,000,000$
Rayé
1	Brett Seney		X			100.00	62	42	70	83	40	75	65	57	40	62	51	62	40	84	80	40	23	61	0	30	1	1,500,000$
Équipe Mineure
1	Kevin Hayes			X		100.00	67	56	84	76	76	75	62	57	75	52	62	64	73	92	84	20	18	63	0	34	1	3,500,000$
2	Justin Bailey			X		100.00	70	56	79	75	76	80	70	49	40	40	59	70	60	86	83	35	20	61	0	31	1	1,500,000$
3	Nathan Bastian			X		100.00	95	62	78	75	78	69	68	53	40	42	64	63	40	82	76	45	20	61	0	29	2	1,000,000$
4	Stefan Noesen			X		100.00	60	67	73	76	66	74	69	53	40	49	56	61	40	90	82	25	18	60	0	33	2	2,500,000$
5	Nolan Foote		X			100.00	93	50	80	75	65	72	51	48	40	40	57	66	40	76	74	60	20	59	0	26	3	1,500,000$
6	Brett Murray		X			100.00	61	71	81	75	85	60	50	55	40	47	54	55	40	80	70	50	18	57	0	28	2	1,000,000$
7	Mitchell Stephens	X				100.00	61	49	84	75	66	78	68	41	40	38	44	53	40	82	80	45	20	55	0	29	2	1,000,000$
8	Carson Soucy				X	100.00	72	55	80	75	75	77	95	53	40	48	58	72	40	88	83	30	18	68	0	32	2	3,000,000$
9	Ryan Ellis				X	100.00	54	41	84	88	47	55	50	69	40	55	53	55	40	94	75	15	20	60	0	35	2	1,000,000$
10	Dennis Gilbert				X	100.00	91	82	72	75	75	55	50	39	40	49	30	60	40	84	70	40	20	60	0	30	1	1,000,000$
11	Robbie Russo				X	100.00	70	43	83	75	59	63	58	39	40	37	40	56	40	90	77	25	20	58	0	33	2	1,000,000$
12	Joseph Cecconi				X	100.00	75	65	76	75	75	55	50	35	40	37	33	55	40	82	69	45	20	57	0	29	2	1,000,000$
13	Roland McKeown				X	100.00	47	68	78	75	60	75	70	41	40	43	39	50	40	84	80	40	20	57	0	30	2	1,000,000$
14	Jeffrey Truchon-Viel		X			100.00	99	84	55	76	70	74	74	54	40	53	55	68	40	82	78	45	20	63	0	29	0	0$
15	Andrew Agozzino	X				100.00	67	43	81	80	48	65	55	54	70	49	58	62	90	94	80	15	20	60	0	35	0	0$
16	Rocco Grimaldi		X			100.00	52	38	84	84	40	60	50	61	40	50	51	54	40	90	75	25	20	57	0	33	0	0$
17	Rasmus Asplund	X				100.00	52	44	83	79	54	60	50	53	70	50	56	55	40	82	71	45	20	57	0	29	0	0$
18	Ty Mueller (R)	X				100.00	57	45	80	76	60	70	60	50	70	48	52	50	40	70	70	75	20	56	0	23	0	0$
19	Hudson Fasching			X		100.00	55	54	86	75	72	74	64	36	40	34	39	55	40	86	80	35	20	53	0	31	0	0$
20	Stian Solberg (R)				X	100.00	73	51	61	75	68	75	70	42	40	34	51	50	40	66	71	85	20	57	0	21	0	0$
21	Simon Lundmark				X	100.00	59	51	82	75	60	58	53	34	40	35	32	58	40	76	67	60	20	55	0	26	0	0$

	MOYENNE D’ÉQUIPE					100.00	67	53	79	81	62	73	72	57	50	55	58	65	54	83	78	42	21	64

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	Sergei Bobrovsky	100.00	93	93	99	85	73	74	73	75	74	75	92	99	87	0	20	79	0	38	3	8,500,000$
2	Matt Murray	100.00	85	50	60	95	61	59	59	58	60	63	95	88	74	30	20	66	0	32	1	1,500,000$
Rayé
Équipe Mineure
1	Pheonix Copley	100.00	85	60	64	93	53	52	54	51	50	52	91	92	72	20	20	62	0	34	2	3,000,000$
2	Malcolm Subban	100.00	75	50	60	93	50	50	50	50	50	50	40	90	70	25	20	59	0	33	0	0$
3	Victor Brattstrom	100.00	75	50	60	93	50	50	50	50	50	50	64	82	66	45	20	58	0	29	0	0$

	MOYENNE D’ÉQUIPE	100.00	83	61	69	92	57	57	57	57	57	58	76	90	74	24	20	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jared Bednar	69	99	99	99	89	76	62	CAN	54	2	6,500,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Contrat	Type	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	2045	2046	2047	Link
Alexis Lafreniere	MapleLeafs	LW	25	2001-10-11	No	191 Lbs	6 ft2	No	No	Yes	3	Pro Only	9,000,000$	9,000,000$	9,000,000$	No	9,000,000$	9,000,000$	UFA					Lien / Lien NHL
Andreas Englund	MapleLeafs	D	30	1996-01-21	No	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	UFA							Lien / Lien NHL
Brandon Montour	MapleLeafs	D	32	1994-04-11	No	199 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA						Lien / Lien NHL
Brett Seney	MapleLeafs	LW	30	1996-02-28	No	167 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	UFA							Lien / Lien NHL
Cameron Hughes	MapleLeafs	LW	30	1996-10-09	No	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	UFA						Lien / Lien NHL
Charlie Coyle	MapleLeafs	C	34	1992-03-02	No	221 Lbs	6 ft3	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	7,500,000$	UFA						Lien / Lien NHL
Claude Giroux	MapleLeafs	C	38	1988-01-12	No	186 Lbs	5 ft11	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA					Lien / Lien NHL
Darren Raddysh	MapleLeafs	D	30	1996-02-28	No	202 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	UFA						Lien / Lien NHL
Frank Nazar	MapleLeafs	RW	22	2004-01-14	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	RFA						Lien / Lien NHL
Joel Hanley	MapleLeafs	D	35	1991-06-08	No	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	UFA							Lien / Lien NHL
Kailer Yamamoto	MapleLeafs	LW	28	1998-09-29	No	178 Lbs	5 ft9	No	No	Yes	1	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	No	UFA							Lien / Lien NHL
Logan Cooley	MapleLeafs	LW	22	2004-05-04	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA							Lien / Lien NHL
Martin Necas	MapleLeafs	RW	27	1999-01-15	No	195 Lbs	6 ft3	No	No	Yes	8	Pro & Farm	11,500,000$	11,500,000$	11,500,000$	No	11,500,000$	11,500,000$	11,500,000$	11,500,000$	11,500,000$	11,500,000$	11,500,000$	Lien / Lien NHL
Mason McTavish	MapleLeafs	C	23	2003-01-30	No	219 Lbs	6 ft1	No	No	No	1	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	RFA							Lien / Lien NHL
Matt Murray	MapleLeafs	G	32	1994-05-25	No	178 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	UFA							Lien / Lien NHL
Mikael Granlund	MapleLeafs	C	34	1992-02-26	No	193 Lbs	5 ft10	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	UFA					Lien / Lien NHL
Nate Schmidt	MapleLeafs	D	35	1991-07-16	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	No	UFA							Lien / Lien NHL
Nikita Zaitsev	Magics (Tor)	D	35	1991-10-29	No	192 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,500,000$	0$	0$	No	UFA							Lien / Lien NHL
Sergei Bobrovsky	MapleLeafs	G	38	1988-09-20	No	190 Lbs	6 ft2	No	No	Yes	3	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	UFA					Lien / Lien NHL
Simon Holmstrom	MapleLeafs	RW	25	2001-05-24	No	208 Lbs	6 ft1	Yes	No	Yes	6	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$	7,500,000$	UFA		Lien / Lien NHL
Zack Bolduc	MapleLeafs	RW	23	2003-02-24	No	187 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA							Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.90	194 Lbs	6 ft0	2.19	3,922,619$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,375,000$	63,175,000$	48,500,000$	19,000,000$	19,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Logan Cooley	Claude Giroux	Martin Necas	35	0	1	4
2	Alexis Lafreniere	Mikael Granlund	Frank Nazar	30	0	2	3
3	Cameron Hughes	Charlie Coyle	Simon Holmstrom	25	1	3	1
4	Kailer Yamamoto	Mason McTavish	Zack Bolduc	10	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darren Raddysh	Brandon Montour	45	0	3	2
2	Nate Schmidt	Joel Hanley	35	1	3	1
3	Joel Hanley	Darren Raddysh	20	1	4	0
4	Brandon Montour	Nate Schmidt	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Logan Cooley	Claude Giroux	Martin Necas	60	0	0	5
2	Alexis Lafreniere	Mikael Granlund	Frank Nazar	40	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darren Raddysh	Brandon Montour	60	0	2	3
2	Nate Schmidt	Joel Hanley	40	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Charlie Coyle	Simon Holmstrom	60	1	4	0
2	Claude Giroux	Mikael Granlund	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darren Raddysh	Brandon Montour	60	1	3	1
2	Nate Schmidt	Joel Hanley	40	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Charlie Coyle	60	1	3	1	Darren Raddysh	Brandon Montour	60	1	3	1
2	Mikael Granlund	40	1	3	1	Nate Schmidt	Joel Hanley	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Charlie Coyle	Simon Holmstrom	60	0	3	2
2	Claude Giroux	Frank Nazar	40	0	3	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Darren Raddysh	Brandon Montour	60	0	2	3
2	Nate Schmidt	Joel Hanley	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Logan Cooley	Claude Giroux	Martin Necas	Darren Raddysh	Brandon Montour

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mikael Granlund	Charlie Coyle	Simon Holmstrom	Darren Raddysh	Brandon Montour

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Claude Giroux, Alexis Lafreniere, Simon Holmstrom	Claude Giroux, Alexis Lafreniere	Claude Giroux

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brandon Montour, Darren Raddysh, Nate Schmidt	Nate Schmidt	Nate Schmidt, Joel Hanley

Tirs de pénalité
Martin Necas, Charlie Coyle, Mikael Granlund, Logan Cooley, Claude Giroux

Gardien
#1 : Sergei Bobrovsky, #2 : Matt Murray, #3 : 0

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

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	RI	Lien

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Logan Cooley

AGE:22
SK:		90
EN:		84
DU:		80
PH:		78
PA:		69
SC:		86
DF:		71
Alexis Lafreniere

AGE:25
SK:		87
EN:		84
DU:		99
PH:		74
PA:		73
SC:		74
DF:		72
Cameron Hughes

AGE:30
SK:		86
EN:		74
DU:		64
PH:		68
PA:		70
SC:		51
DF:		70
Kailer Yamamoto

AGE:28
SK:		84
EN:		74
DU:		83
PH:		61
PA:		54
SC:		68
DF:		70
Jeffrey Truchon-Viel

AGE:29
SK:		76
EN:		74
DU:		74
PH:		54
PA:		53
SC:		55
DF:		68
Brett Seney

AGE:30
SK:		83
EN:		75
DU:		65
PH:		57
PA:		62
SC:		51
DF:		62
Nolan Foote

AGE:26
SK:		75
EN:		72
DU:		51
PH:		48
PA:		40
SC:		57
DF:		66
Brett Murray

AGE:28
SK:		75
EN:		60
DU:		50
PH:		55
PA:		47
SC:		54
DF:		55
Rocco Grimaldi

AGE:33
SK:		84
EN:		60
DU:		50
PH:		61
PA:		50
SC:		51
DF:		54

Charlie Coyle

AGE:34
SK:		84
EN:		85
DU:		99
PH:		74
PA:		78
SC:		70
DF:		80
Mikael Granlund

AGE:34
SK:		89
EN:		87
DU:		83
PH:		74
PA:		71
SC:		77
DF:		75
Claude Giroux

AGE:38
SK:		87
EN:		82
DU:		99
PH:		70
PA:		75
SC:		64
DF:		76
Mason McTavish

AGE:23
SK:		82
EN:		80
DU:		94
PH:		67
PA:		66
SC:		69
DF:		65
Andrew Agozzino

AGE:35
SK:		80
EN:		65
DU:		55
PH:		54
PA:		49
SC:		58
DF:		62
Rasmus Asplund

AGE:29
SK:		79
EN:		60
DU:		50
PH:		53
PA:		50
SC:		56
DF:		55
Ty Mueller (R)

AGE:23
SK:		76
EN:		70
DU:		60
PH:		50
PA:		48
SC:		52
DF:		50
Mitchell Stephens

AGE:29
SK:		75
EN:		78
DU:		68
PH:		41
PA:		38
SC:		44
DF:		53

Martin Necas

AGE:27
SK:		98
EN:		91
DU:		96
PH:		98
PA:		99
SC:		90
DF:		65
Frank Nazar

AGE:22
SK:		88
EN:		85
DU:		88
PH:		70
PA:		72
SC:		69
DF:		74
Simon Holmstrom

AGE:25
SK:		82
EN:		82
DU:		97
PH:		66
PA:		63
SC:		70
DF:		87
Zack Bolduc

AGE:23
SK:		82
EN:		77
DU:		96
PH:		61
PA:		59
SC:		63
DF:		65
Kevin Hayes

AGE:34
SK:		76
EN:		75
DU:		62
PH:		57
PA:		52
SC:		62
DF:		64
Nathan Bastian

AGE:29
SK:		75
EN:		69
DU:		68
PH:		53
PA:		42
SC:		64
DF:		63
Justin Bailey

AGE:31
SK:		75
EN:		80
DU:		70
PH:		49
PA:		40
SC:		59
DF:		70
Stefan Noesen

AGE:33
SK:		76
EN:		74
DU:		69
PH:		53
PA:		49
SC:		56
DF:		61
Hudson Fasching

AGE:31
SK:		75
EN:		74
DU:		64
PH:		36
PA:		34
SC:		39
DF:		55

Défense #1

Défense #2

Gardien

Darren Raddysh

AGE:30
SK:		95
EN:		87
DU:		93
PH:		90
PA:		94
SC:		87
DF:		74
Brandon Montour

AGE:32
SK:		85
EN:		87
DU:		87
PH:		69
PA:		67
SC:		71
DF:		69
Nate Schmidt

AGE:35
SK:		79
EN:		82
DU:		99
PH:		57
PA:		57
SC:		58
DF:		79
Carson Soucy

AGE:32
SK:		75
EN:		77
DU:		95
PH:		53
PA:		48
SC:		58
DF:		72
Joel Hanley

AGE:35
SK:		77
EN:		74
DU:		89
PH:		49
PA:		48
SC:		50
DF:		77
Nikita Zaitsev

AGE:35
SK:		77
EN:		55
DU:		50
PH:		54
PA:		51
SC:		56
DF:		67
Andreas Englund

AGE:30
SK:		75
EN:		56
DU:		51
PH:		36
PA:		36
SC:		37
DF:		69

Dennis Gilbert

AGE:30
SK:		75
EN:		55
DU:		50
PH:		39
PA:		49
SC:		30
DF:		60
Ryan Ellis

AGE:35
SK:		88
EN:		55
DU:		50
PH:		69
PA:		55
SC:		53
DF:		55
Robbie Russo

AGE:33
SK:		75
EN:		63
DU:		58
PH:		39
PA:		37
SC:		40
DF:		56
Stian Solberg (R)

AGE:21
SK:		75
EN:		75
DU:		70
PH:		42
PA:		34
SC:		51
DF:		50
Joseph Cecconi

AGE:29
SK:		75
EN:		55
DU:		50
PH:		35
PA:		37
SC:		33
DF:		55
Roland McKeown

AGE:30
SK:		75
EN:		75
DU:		70
PH:		41
PA:		43
SC:		39
DF:		50
Simon Lundmark

AGE:26
SK:		75
EN:		58
DU:		53
PH:		34
PA:		35
SC:		32
DF:		58

Sergei Bobrovsky

AGE:38
SK:		93
AG:		73
RB:		74
SC:		73
HS:		75
RT:		74
DF:		75
Matt Murray

AGE:32
SK:		85
AG:		61
RB:		59
SC:		59
HS:		58
RT:		60
DF:		63
Pheonix Copley

AGE:34
SK:		85
AG:		53
RB:		52
SC:		54
HS:		51
RT:		50
DF:		52
Malcolm Subban

AGE:33
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Victor Brattstrom

AGE:29
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Brad Gardiner	MapleLeafs	2037	103
Carter Sotheran	MapleLeafs	2037	165
Elijah Neuenschwander	MapleLeafs	2039	139
Evan Passmore	MapleLeafs	2039	201
Jacob Rombach	MapleLeafs	2039	65
Melvin Strahl	MapleLeafs	2037	196
Will Reynolds	MapleLeafs	2039	108
Zeb Lindgren	MapleLeafs	2039	170

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

MapleLeafs Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Andy Sutton	1643	287	493	780	-11	1228	2120	2055	2955	9.71%	1005	27097	16.49	49	85	134	302	9	6	15	45	44	22	50.77%	2	0.58	7	36
2	Alex Steen	545	340	403	743	127	296	488	2226	2625	12.95%	268	13415	24.62	104	166	270	713	14	6	20	83	59	12	52.18%	18	1.11	7	39
3	Alec Martinez	1322	198	531	729	-169	1208	1964	1430	2315	8.55%	1699	26843	20.31	110	196	306	1335	4	9	13	32	18	9	0.00%	3	0.54	2	2
4	R.J. Umberger	729	270	392	662	62	735	1380	1722	2407	11.22%	279	15437	21.18	77	142	219	512	7	2	9	69	36	18	54.26%	2	0.86	9	43
5	Mike Cammalleri	578	216	258	474	-59	148	312	1573	1934	11.17%	82	11584	20.04	71	109	180	477	2	4	6	26	33	14	48.48%	7	0.82	11	37

MapleLeafs Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Tuukka Rask	962	464	387	75	0.905	3.07	55718	152	32	2853	30113	2726	44	19	0.716	303
2	Sergei Bobrovsky	362	150	167	26	0.896	3.48	20464	32	13	1187	11452	0	15	3	0.667	78
3	Daniel Lacosta	94	45	31	8	0.903	3.06	5099	36	2	260	2667	1055	6	1	0.615	26
4	Pheonix Copley	78	34	34	8	0.893	3.48	4468	16	0	259	2428	0	4	4	0.667	6
5	Evgeni Nabokov	84	33	41	4	0.897	3.19	4779	12	1	254	2472	0	2	2	0.808	26

MapleLeafs Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
Saison régulière
2017	82	39	30	0	2	2	2	7	274	268	6	41	25	10	0	1	1	1	3	149	112	37	41	14	20	0	1	1	1	4	125	156	-31	84	274	443	717	1	2	0	77	91	102	2710	0	861	899	928	2618	880	1028	1847	300	46	15.33%	215	36	83.26%	7	1023	1972	51.88%	1041	2067	50.36%	726	1429	50.80%	1739	983	1907	829	1496	754
2018	82	49	25	0	3	1	1	3	268	215	53	41	29	8	0	2	0	1	1	146	97	49	41	20	17	0	1	1	0	2	122	118	4	105	268	449	717	1	3	0	81	98	85	2680	0	873	927	864	2659	884	599	1674	220	48	21.82%	124	19	84.68%	4	1101	2014	54.67%	1055	2069	50.99%	716	1368	52.34%	1723	988	1755	727	1467	748
2019	82	38	28	0	4	6	0	6	225	218	7	41	21	13	0	1	2	0	4	118	104	14	41	17	15	0	3	4	0	2	107	114	-7	90	225	374	599	2	3	0	47	86	88	2575	0	658	928	964	2480	842	698	1712	218	30	13.76%	169	24	85.80%	4	1067	2041	52.28%	1032	1935	53.33%	602	1171	51.41%	1702	939	1715	770	1559	779
2020	82	28	30	0	6	2	5	11	261	265	-4	41	14	13	0	4	0	3	7	141	133	8	41	14	17	0	2	2	2	4	120	132	-12	70	261	416	677	2	3	0	52	98	100	2571	0	733	899	888	2544	849	585	1745	206	46	22.33%	135	29	78.52%	2	1074	2007	53.51%	974	1863	52.28%	651	1247	52.21%	1729	962	1727	756	1562	792
2021	82	44	26	0	1	0	6	5	281	238	43	41	22	15	0	0	0	2	2	138	124	14	41	22	11	0	1	0	4	3	143	114	29	90	281	485	766	3	3	0	106	92	76	2872	0	955	987	906	2555	760	933	1659	452	96	21.24%	364	75	79.40%	2	1777	3265	54.43%	1653	3036	54.45%	702	1303	53.88%	1974	1362	1960	627	1039	516
2022	82	28	42	0	4	0	2	6	232	288	-56	41	17	16	0	2	0	2	4	126	135	-9	41	11	26	0	2	0	0	2	106	153	-47	64	232	422	654	1	1	0	88	83	55	2554	0	893	854	786	2605	802	1065	1763	411	76	18.49%	409	92	77.51%	3	1617	3019	53.56%	1645	3106	52.96%	642	1315	48.82%	1872	1265	2059	636	1037	505
2023	82	30	40	0	4	1	1	6	247	265	-18	41	17	20	0	1	0	0	3	140	131	9	41	13	20	0	3	1	1	3	107	134	-27	69	247	447	694	4	4	0	86	87	69	2521	0	833	851	801	2625	764	1142	1614	421	80	19.00%	408	85	79.17%	1	1525	2955	51.61%	1579	3151	50.11%	660	1294	51.00%	1889	1283	2041	632	1036	502
2024	82	40	32	0	3	1	3	3	290	281	9	41	21	15	0	2	1	1	1	146	141	5	41	19	17	0	1	0	2	2	144	140	4	96	290	502	792	1	2	0	98	97	89	2878	0	959	969	923	2556	810	980	1810	465	94	20.22%	392	87	77.81%	5	1659	3244	51.14%	1418	2971	47.73%	693	1382	50.14%	1903	1295	2023	620	1034	507
2025	82	44	28	0	1	2	3	4	328	299	29	41	26	11	0	0	2	1	1	162	152	10	41	18	17	0	1	0	2	3	166	147	19	102	328	570	898	4	0	0	130	108	86	2878	0	1009	890	964	2848	812	905	1738	393	90	22.90%	396	77	80.56%	9	1590	3138	50.67%	1683	3198	52.63%	686	1377	49.82%	1869	1257	2052	631	1045	510
2026	82	41	29	0	1	4	5	2	343	282	61	41	21	15	0	1	2	1	1	179	138	41	41	20	14	0	0	2	4	1	164	144	20	100	343	586	929	2	2	0	112	112	113	2938	0	966	981	971	2693	783	1034	1888	424	103	24.29%	436	101	76.83%	9	1625	3232	50.28%	1542	3106	49.65%	722	1406	51.35%	1915	1304	2005	622	1039	510
2027	82	31	35	0	2	3	7	4	257	278	-21	41	14	19	0	1	1	3	3	118	144	-26	41	17	16	0	1	2	4	1	139	134	5	87	257	443	700	2	3	0	92	82	74	2566	0	846	865	827	2670	767	1112	1854	452	94	20.80%	484	95	80.37%	3	1507	3006	50.13%	1542	3177	48.54%	708	1345	52.64%	1906	1298	2052	633	1026	497
2030	82	21	49	0	4	2	2	4	192	266	-74	41	11	24	0	2	1	1	2	94	122	-28	41	10	25	0	2	1	1	2	98	144	-46	60	192	347	539	0	5	0	61	61	64	2034	0	680	653	682	2756	835	977	1898	421	71	16.86%	433	99	77.14%	1	1118	2630	42.51%	1328	3193	41.59%	503	1254	40.11%	1829	1211	2074	647	1056	514
2031	82	19	50	0	1	2	7	3	207	297	-90	41	11	23	0	0	1	5	1	101	126	-25	41	8	27	0	1	1	2	2	106	171	-65	59	207	360	567	1	3	0	67	78	54	2142	0	709	694	718	2794	804	1029	1825	359	54	15.04%	447	113	74.72%	3	1335	2736	48.79%	1477	3177	46.49%	610	1302	46.85%	1859	1244	2067	630	1047	506
2032	82	16	52	0	2	1	3	8	199	321	-122	41	10	25	0	1	0	2	3	108	155	-47	41	6	27	0	1	1	1	5	91	166	-75	51	199	354	553	1	1	0	68	67	59	2232	0	726	710	763	2989	842	1090	1939	356	63	17.70%	472	102	78.39%	2	1340	2700	49.63%	1601	3383	47.32%	614	1293	47.49%	1769	1153	2159	635	1050	501
2033	82	23	49	0	1	3	2	4	216	306	-90	41	13	24	0	1	1	0	2	111	142	-31	41	10	25	0	0	2	2	2	105	164	-59	59	216	384	600	1	2	0	66	79	68	2201	0	673	764	749	2935	790	1028	1772	360	67	18.61%	428	79	81.54%	4	1266	2656	47.67%	1497	3255	45.99%	604	1306	46.25%	1725	1120	2167	647	1062	501
2034	82	11	60	0	2	2	5	2	177	336	-159	41	6	27	0	1	2	4	1	85	159	-74	41	5	33	0	1	0	1	1	92	177	-85	40	177	308	485	1	1	0	75	43	52	2026	0	647	652	702	3173	890	1111	1808	368	65	17.66%	452	93	79.42%	5	1283	2618	49.01%	1620	3393	47.75%	636	1316	48.33%	1679	1085	2236	652	1041	483
2035	82	26	47	0	1	1	3	4	227	314	-87	41	17	17	0	1	0	3	3	131	144	-13	41	9	30	0	0	1	0	1	96	170	-74	65	227	396	623	0	0	0	74	76	73	2367	0	747	797	811	2725	833	922	1899	390	70	17.95%	407	79	80.59%	3	1328	2834	46.86%	1389	2970	46.77%	630	1349	46.70%	1875	1253	2034	629	1050	519
2036	82	29	42	0	4	2	2	3	258	297	-39	41	15	21	0	1	0	2	2	127	142	-15	41	14	21	0	3	2	0	1	131	155	-24	75	258	462	720	0	3	0	89	92	71	2407	0	733	803	843	2838	807	1047	1761	409	77	18.83%	437	88	79.86%	3	1373	2738	50.15%	1637	3228	50.71%	636	1342	47.39%	1843	1259	2091	628	1025	491
2037	82	30	38	0	4	7	2	1	250	294	-44	41	11	21	0	4	2	2	1	117	147	-30	41	19	17	0	0	5	0	0	133	147	-14	80	250	441	691	4	0	94	70	80	7	2338	799	724	798	26	2697	741	994	1815	378	66	17.46%	403	87	78.41%	8	1409	2709	52.01%	1511	2968	50.91%	643	1281	50.20%	1931	1319	1989	614	1038	511
2038	82	34	35	0	7	2	0	4	240	255	-15	41	20	16	0	1	1	0	3	127	128	-1	41	14	19	0	6	1	0	1	113	127	-14	88	240	435	675	3	3	89	73	71	8	2431	824	826	749	46	2646	789	938	1687	392	63	16.07%	406	70	82.76%	3	1489	2871	51.86%	1596	3091	51.63%	611	1239	49.31%	1912	1301	2016	622	1027	504
2039	82	35	29	0	7	5	2	4	301	286	15	41	19	16	0	1	2	2	1	160	145	15	41	16	13	0	6	3	0	3	141	141	0	97	301	525	826	0	6	97	104	91	11	2628	862	893	846	48	2765	794	876	1834	373	81	21.72%	390	77	80.26%	5	1422	2905	48.95%	1495	3107	48.12%	686	1388	49.42%	1879	1289	2064	607	1021	495
Total Saison régulière	1722	656	796	0	64	49	63	94	5273	5869	-596	861	360	369	0	28	19	36	49	2724	2821	-97	861	296	427	0	36	30	27	45	2549	3048	-499	1631	5273	9149	14422	34	50	280	1716	1772	1404	52549	2485	16944	17516	15210	57171	17078	20093	37542	7768	1480	19.05%	7807	1607	79.42%	86	28928	57290	50.49%	30315	61444	49.34%	13681	27707	49.38%	38532	25180	42203	13803	23767	11653
Séries éliminatoires
2017	25	16	9	0	0	0	0	0	83	64	19	11	9	2	0	0	0	0	0	41	24	17	14	7	7	0	0	0	0	0	42	40	2	32	83	138	221	0	0	0	32	24	23	857	0	259	324	240	788	269	262	618	70	12	17.14%	62	13	79.03%	2	319	654	48.78%	329	646	50.93%	208	394	52.79%	570	322	2463	1079	495	244
2018	7	3	4	0	0	0	0	0	14	21	-7	4	1	3	0	0	0	0	0	9	15	-6	3	2	1	0	0	0	0	0	5	6	-1	6	14	22	36	0	0	0	4	7	3	190	0	60	67	63	235	87	106	131	17	1	5.88%	28	2	92.86%	0	78	158	49.37%	96	192	50.00%	62	105	59.05%	134	68	156	67	132	67
2019	7	3	4	0	0	0	0	0	22	21	1	4	1	3	0	0	0	0	0	10	14	-4	3	2	1	0	0	0	0	0	12	7	5	6	22	37	59	0	1	0	6	8	8	222	0	72	85	65	215	76	92	142	25	6	24.00%	21	3	85.71%	0	107	184	58.15%	85	156	54.49%	48	98	48.98%	147	82	147	65	124	61
2020	7	3	4	0	0	0	0	0	21	22	-1	3	1	2	0	0	0	0	0	11	11	0	4	2	2	0	0	0	0	0	10	11	-1	6	21	35	56	0	0	0	7	7	7	234	0	83	74	77	199	76	46	130	23	2	8.70%	15	2	86.67%	0	96	191	50.26%	70	151	46.36%	48	108	44.44%	146	83	150	62	122	62
2021	11	5	6	0	0	0	0	0	26	35	-9	6	3	3	0	0	0	0	0	17	18	-1	5	2	3	0	0	0	0	0	9	17	-8	10	26	48	74	0	0	0	8	10	7	291	0	88	108	94	339	105	125	201	52	9	17.31%	57	11	80.70%	0	165	344	47.97%	200	408	49.02%	74	167	44.31%	231	154	295	84	132	63
2024	6	2	4	0	0	0	0	0	21	28	-7	3	0	3	0	0	0	0	0	9	16	-7	3	2	1	0	0	0	0	0	12	12	0	4	21	38	59	1	0	0	10	5	5	225	0	75	86	62	205	59	105	117	29	5	17.24%	34	12	64.71%	0	116	247	46.96%	121	233	51.93%	64	112	57.14%	141	95	145	45	76	36
2025	12	7	5	0	0	0	0	0	43	36	7	6	5	1	0	0	0	0	0	26	15	11	6	2	4	0	0	0	0	0	17	21	-4	14	43	76	119	0	0	0	12	17	13	430	0	123	145	125	410	117	180	269	75	10	13.33%	65	10	84.62%	1	232	506	45.85%	230	499	46.09%	87	191	45.55%	281	185	337	100	165	82
2026	24	16	8	0	0	0	0	0	98	79	19	11	8	3	0	0	0	0	0	51	34	17	13	8	5	0	0	0	0	0	47	45	2	32	98	176	274	0	1	0	42	27	26	838	0	305	247	264	876	249	328	596	111	29	26.13%	140	26	81.43%	0	456	894	51.01%	508	1024	49.61%	197	429	45.92%	545	367	624	185	315	149
2027	6	2	4	0	0	0	0	0	16	21	-5	3	1	2	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	6	9	-3	4	16	27	43	0	0	0	5	0	10	162	0	56	52	53	186	54	78	130	19	5	26.32%	37	4	89.19%	0	88	213	41.31%	105	206	50.97%	43	90	47.78%	126	82	160	45	75	35
2039	5	1	4	0	0	0	0	0	12	25	-13	2	1	1	0	0	0	0	0	7	8	-1	3	0	3	0	0	0	0	0	5	17	-12	2	12	21	33	0	0	2	3	6	1	143	51	33	55	4	171	56	52	109	19	4	21.05%	19	6	68.42%	0	79	168	47.02%	87	183	47.54%	41	87	47.13%	100	66	138	38	66	29
Total Séries éliminatoires	110	58	52	0	0	0	0	0	356	352	4	53	30	23	0	0	0	0	0	191	167	24	57	28	29	0	0	0	0	0	165	185	-20	116	356	618	974	1	2	2	129	111	103	3592	51	1154	1243	1047	3624	1148	1374	2443	440	83	18.86%	478	89	81.38%	3	1736	3559	48.78%	1831	3698	49.51%	872	1781	48.96%	2424	1508	4622	1775	1708	831

MapleLeafs Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	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
1	Alexander Korolyuk	450	83	138	221	96	262	618	616	857	9.68%	269	7978	17.73	12	19	31	56	2	3	5	11	16	6	50.53%	2	0.55
2	Alex Steen	54	35	40	75	9	13	37	233	321	10.90%	28	1369	25.36	8	13	21	74	0	1	1	6	7	3	50.78%	1	1.10
3	R.J. Umberger	74	27	38	65	7	81	163	137	206	13.11%	19	1529	20.67	6	12	18	41	0	0	0	5	6	3	51.05%	0	0.85
4	Mike Cammalleri	48	25	28	53	13	12	28	128	192	13.02%	6	931	19.41	2	13	15	49	0	0	0	2	3	1	48.73%	1	1.14
5	Johan Franzen	48	19	26	45	12	24	110	74	156	12.18%	6	1018	21.22	7	4	11	49	1	0	1	3	6	1	42.71%	0	0.88

MapleLeafs Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Tuukka Rask	78	40	32	6	0.900	3.22	4656	4	2	250	2509	251	8	1
2	Ray Emery	26	16	4	5	0.919	2.37	1622	2	0	64	788	310	2	0
3	Ray Emery	4	1	1	0	0.919	3.05	177	0	0	9	111	0	0	0
4	Sergei Bobrovsky	5	1	4	0	0.831	5.57	248	0	0	23	136	0	0	0
5	Brian Boucher	2	0	0	0	0.920	3.87	31	0	0	2	25	0	0	0