Profi League - Maple Leafs

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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
1	Patrick Kane			X		100.00	62	41	97	97	78	96	84	99	68	62	61	62	78	92	91	0	44	78	0
2	Joe Pavelski	X	X	X		100.00	74	44	85	91	84	94	99	97	98	54	59	68	71	87	87	0	54	78	0
3	Aleksander Barkov	X				100.00	64	43	98	87	86	93	80	86	92	53	56	71	78	74	74	0	54	74	0
4	Blake Comeau		X	X		100.00	80	45	79	81	69	87	82	71	86	48	46	71	75	73	74	0	54	69	0
5	James van Riemsdyk		X			100.00	67	44	86	87	73	95	78	80	61	49	52	62	63	70	73	0	54	69	0
6	David Desharnais	X				100.00	62	41	87	80	60	83	85	73	88	48	46	61	80	69	71	0	54	66	0
7	Nikolaj Ehlers (R)		X	X		100.00	61	51	87	89	64	84	68	78	62	48	48	60	50	53	53	0	54	64	0
8	Tanner Glass		X			100.00	87	99	58	67	87	72	79	65	60	39	41	63	50	71	74	0	54	64	0
9	Matt Nieto		X	X		100.00	62	42	86	80	63	74	79	66	59	43	44	68	50	63	64	0	54	63	0
10	Jordan Schroeder	X		X		100.00	60	41	68	75	49	52	65	62	60	40	40	59	53	57	58	0	54	56	0
11	Ryan Dzingel	X	X	X		100.00	71	65	67	63	53	54	65	61	60	42	41	59	50	46	46	0	54	55	0
12	Mark Giordano				X	100.00	71	43	78	92	71	96	88	85	25	52	49	81	85	92	96	0	54	76	0
13	Paul Martin				X	100.00	70	47	86	83	91	84	92	69	25	46	40	80	50	90	93	0	54	73	0
14	Sami Vatanen				X	100.00	74	43	86	91	71	86	86	81	25	51	45	78	90	75	69	0	54	72	0
15	Justin Braun				X	100.00	74	44	83	84	72	84	90	71	25	47	40	79	50	68	70	0	54	69	0
16	Damon Severson				X	100.00	71	44	83	85	74	77	79	76	25	47	39	71	50	69	66	0	57	67	0
17	Dalton Prout				X	100.00	82	88	61	76	83	73	80	69	25	41	40	76	50	63	64	0	56	66	0
18	Ryan Murphy				X	100.00	72	42	85	85	66	75	80	76	25	46	38	71	50	66	66	0	54	66	0
19	Ben Harpur (R)				X	100.00	60	82	66	66	63	59	64	53	25	25	27	59	50	47	47	0	57	51	0
Rayé
1	Manny Malhotra	X	X			100.00	79	76	78	70	58	58	61	54	65	35	36	58	50	85	87	0	48	59	0
2	Tom Kostopoulos			X		100.00	59	71	62	60	54	70	67	61	75	38	37	59	50	75	76	0	48	57	0
3	Rich Clune		X	X		100.00	79	99	58	66	56	50	61	63	57	42	38	58	50	59	60	0	48	57	0
4	John Scott		X			100.00	72	96	56	61	60	49	61	63	57	39	39	58	50	65	66	0	48	56	0
5	Matt Frattin		X	X		100.00	59	74	62	69	56	69	66	57	73	36	34	58	50	59	60	0	48	55	0
6	Blair Jones	X	X	X		100.00	69	79	64	70	59	62	62	57	70	33	37	55	50	59	60	0	48	55	0
7	Tyson Strachan				X	100.00	60	80	66	72	63	66	69	57	25	31	30	59	50	62	63	0	48	56	0
8	Dylan Reese				X	100.00	58	75	65	62	60	57	60	64	25	38	34	59	50	54	54	0	48	54	0

	MOYENNE D'ÉQUIPE					100.00	69	61	75	77	68	74	75	70	53	43	42	65	58	68	69	0	52	64

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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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Ben Bishop	99.00	77	90	98	99	83	84	78	80	82	81	75	86	87	0	54	83	0
2	Anders Lindback	100.00	69	75	92	79	67	63	69	60	72	86	59	75	71	0	54	71	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	73	83	95	89	75	74	74	70	77	84	67	81	79	0	54	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	87	85	84	85	74	74	74	CAN	48	4	1,000,000$

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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	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Patrick Kane	Maple Leafs		RW	4	1	7	8	3	0	0	0	12	4	5	8.33%	1	17.:.45	0	2	2	0	0	0	0	0	0	33.33%	3	7	0	0	0	2.25	1	1
2	Joe Pavelski	Maple Leafs		C/LW/RW	4	4	4	8	0	2	0	8	15	12	18	26.67%	3	25.:.25	1	1	2	0	0	0	13	0	0	55.29%	85	11	2	0	1	1.57	0	1
3	Mark Giordano	Maple Leafs		D	4	3	2	5	1	5	5	8	12	6	9	25.00%	10	27.:.16	1	0	1	0	0	0	7	0	1	0.00%	0	4	6	1	0	0.92	1	1
4	Blake Comeau	Maple Leafs		LW/RW	4	2	3	5	4	2	0	6	7	0	1	28.57%	1	18.:.11	0	0	0	1	0	1	2	1	0	50.00%	4	1	2	0	0	1.37	0	1
5	Aleksander Barkov	Maple Leafs		C	4	1	3	4	1	0	0	3	17	2	7	5.88%	5	19.:.58	0	1	1	0	1	1	4	1	0	52.46%	61	13	1	0	0	1.00	0	1
6	Nikolaj Ehlers	Maple Leafs		LW/RW	4	2	1	3	0	2	0	6	6	1	5	33.33%	2	19.:.23	1	0	1	0	0	0	1	0	0	0.00%	2	5	2	0	0	0.77	0	0
7	Paul Martin	Maple Leafs		D	4	1	1	2	0	2	0	3	5	1	2	20.00%	9	21.:.42	0	0	0	0	0	0	10	0	0	0.00%	0	3	4	0	0	0.46	0	0
8	James van Riemsdyk	Maple Leafs		LW	4	0	2	2	0	0	0	6	8	1	7	0.00%	1	18.:.31	0	1	1	0	0	0	0	0	0	0.00%	3	10	0	0	0	0.54	0	2
9	Damon Severson	Maple Leafs		D	4	0	1	1	2	0	0	3	1	1	2	0.00%	4	13.:.27	0	0	0	0	1	1	0	0	0	0.00%	0	0	3	0	0	0.37	0	0
10	Tanner Glass	Maple Leafs		LW	4	0	1	1	2	2	0	10	1	0	2	0.00%	0	14.:.10	0	0	0	0	0	0	0	0	0	100.00%	2	0	1	0	0	0.35	0	0
11	Matt Nieto	Maple Leafs		LW/RW	4	1	0	1	1	0	0	1	6	4	4	16.67%	1	14.:.24	0	0	0	0	0	0	5	0	0	16.67%	6	1	2	0	0	0.35	0	0
12	Ryan Murphy	Maple Leafs		D	4	0	1	1	1	0	0	5	3	2	3	0.00%	5	14.:.53	0	0	0	0	0	0	5	0	0	0.00%	0	0	5	0	0	0.34	0	0
13	Justin Braun	Maple Leafs		D	4	1	0	1	0	4	0	6	6	3	2	16.67%	8	18.:.46	0	0	0	0	0	0	7	0	1	0.00%	0	0	6	0	0	0.27	0	0
14	Ben Harpur	Maple Leafs		D	4	0	0	0	2	2	0	3	1	0	1	0.00%	2	04.:.55	0	0	0	0	0	0	2	0	0	0.00%	0	0	1	0	0	0.00	0	0
15	Dalton Prout	Maple Leafs		D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
16	David Desharnais	Maple Leafs		C	4	0	0	0	0	0	0	1	7	4	7	0.00%	3	17.:.38	0	0	0	0	0	0	16	0	0	47.83%	23	8	2	0	0	0.00	0	0
17	Ryan Dzingel	Maple Leafs		C/LW/RW	4	0	0	0	-1	2	0	1	0	0	1	0.00%	2	06.:.08	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0	0
18	Sami Vatanen	Maple Leafs		D	4	0	0	0	1	0	0	4	11	7	6	0.00%	6	21.:.05	0	0	0	0	0	0	10	0	0	0.00%	0	2	6	0	0	0.00	0	1
19	Jordan Schroeder	Maple Leafs		C/RW	4	0	0	0	-1	0	0	2	0	2	0	0.00%	1	06.:.02	0	0	0	0	0	0	0	0	0	50.00%	22	0	1	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		75	16	26	42	16	23	5	76	87	118	50	82	13.56%	64	1198	15.99	3	5	8	14	101	1	2	3	3	86	2	2	50.71%	211	66	45	1	1	0.70	2	8	0	0	0	2	1	3

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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 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	Ben Bishop	Maple Leafs	4	3	0	1	90.5%	2.93	246	0	0	12	126	65	0	0	85.7%	7	4	0	0	1	0
Stats d'équipe Total ou en Moyenne	4	3	0	1	0.905	2.93	246	0	0	12	126	65	0	0	0.857	7	4	0	0	1	0

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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	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Link
Aleksander Barkov	C	21	02.09.1995 16:26:23	No	213 Lbs	6 ft3	No	No	1	Pro & Farm	1,500,000$	0$									Lien
Anders Lindback	G	28	03.01.1988	No	215 Lbs	6 ft6	No	No	1	Pro Only	800,000$	0$									Lien
Ben Bishop	G	29	21.11.1986	No	209 Lbs	6 ft7	Yes	No	4	Pro & Farm	6,000,000$	0$	6,000,000$	6,000,000$	6,000,000$						Lien
Ben Harpur	D	21	12.01.1995 15:44:24	Yes	214 Lbs	6 ft6	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Blair Jones	C/LW/RW	30	27.09.1986	No	216 Lbs	6 ft2	No	No	1	Pro & Farm	500,000$	0$									Lien
Blake Comeau	LW/RW	30	18.02.1986	No	202 Lbs	6 ft1	No	No	3	Pro & Farm	2,400,000$	0$	2,400,000$	2,400,000$							Lien
Dalton Prout (Contrat à 1 Volet)	D	26	13.03.1990 0:09:41	No	222 Lbs	6 ft3	No	No	3	Pro & Farm	1,200,000$	0$	1,200,000$	1,200,000$							Lien
Damon Severson	D	22	07.08.1994 1:31:41	No	205 Lbs	6 ft2	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$								Lien
David Desharnais	C	30	14.09.1986	No	186 Lbs	5 ft7	No	No	1	Pro & Farm	3,000,000$	0$									Lien
Dylan Reese	D	32	29.08.1984	No	205 Lbs	6 ft1	No	No	1	Pro & Farm	500,000$	0$									Lien
James van Riemsdyk	LW	27	04.05.1989	No	200 Lbs	6 ft3	No	No	3	Pro & Farm	4,600,000$	0$	4,600,000$	4,600,000$							Lien
Joe Pavelski	C/LW/RW	32	11.07.1984	No	190 Lbs	5 ft11	No	No	3	Pro & Farm	7,000,000$	0$	7,000,000$	7,000,000$							Lien
John Scott	LW	34	26.09.1982	No	260 Lbs	6 ft8	No	No	1	Pro & Farm	500,000$	0$									Lien
Jordan Schroeder	C/RW	26	29.09.1990	No	176 Lbs	5 ft9	No	No	1	Pro & Farm	800,000$	0$									Lien
Justin Braun	D	29	10.02.1987	No	205 Lbs	6 ft2	No	No	3	Pro & Farm	3,600,000$	0$	3,600,000$	3,600,000$							Lien
Manny Malhotra	C/LW	36	18.05.1980	No	207 Lbs	6 ft2	No	No	1	Pro & Farm	700,000$	0$									Lien
Mark Giordano	D	33	03.10.1983	No	200 Lbs	6 ft0	No	No	4	Pro & Farm	6,500,000$	0$	6,500,000$	6,500,000$	6,500,000$						Lien
Matt Frattin	LW/RW	28	03.01.1988 14:41:30	No	205 Lbs	6 ft0	No	No	1	Pro & Farm	700,000$	0$									Lien
Matt Nieto	LW/RW	23	05.11.1992 2:46:41	No	190 Lbs	5 ft11	No	No	1	Pro & Farm	1,000,000$	0$									Lien
Nikolaj Ehlers	LW/RW	20	14.02.1996 14:55:11	Yes	168 Lbs	6 ft0	No	No	3	Pro & Farm	1,700,000$	0$	1,700,000$	1,700,000$							Lien
Patrick Kane	RW	27	19.11.1988	No	177 Lbs	5 ft11	Yes	No	3	Pro & Farm	10,000,000$	0$	10,000,000$	10,000,000$							Lien
Paul Martin	D	35	05.03.1981	No	200 Lbs	6 ft1	No	No	1	Pro & Farm	3,800,000$	0$									Lien
Rich Clune	LW/RW	29	25.04.1987	No	207 Lbs	5 ft10	No	No	1	Pro & Farm	500,000$	0$									Lien
Ryan Dzingel	C/LW/RW	24	09.03.1992	No	188 Lbs	6 ft0	No	No	1	Pro & Farm	1,200,000$	0$									Lien
Ryan Murphy	D	23	31.03.1993 2:48:17	No	185 Lbs	5 ft11	No	No	1	Pro & Farm	1,200,000$	0$									Lien
Sami Vatanen	D	25	03.06.1991 2:49:08	No	180 Lbs	5 ft10	No	No	1	Pro & Farm	3,100,000$	0$									Lien
Tanner Glass	LW	32	29.11.1983	No	210 Lbs	6 ft1	No	No	1	Pro Only	1,000,000$	0$									Lien
Tom Kostopoulos	RW	37	24.01.1979	No	197 Lbs	6 ft0	No	No	1	Pro & Farm	500,000$	0$									Lien
Tyson Strachan	D	31	30.10.1984	No	215 Lbs	6 ft3	No	No	1	Pro & Farm	500,000$	0$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	28.28	202 Lbs	6 ft1	2	2,282,759$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Joe Pavelski	Blake Comeau	Patrick Kane	40	1	2	2
2	Aleksander Barkov	James van Riemsdyk	Nikolaj Ehlers	30	1	2	2
3	David Desharnais	Tanner Glass	Matt Nieto	20	1	2	2
4	Jordan Schroeder	Ryan Dzingel	Joe Pavelski	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Paul Martin	40	1	2	2
2	Sami Vatanen	Justin Braun	30	1	2	2
3	Damon Severson	Ryan Murphy	20	1	2	2
4	Ben Harpur	Mark Giordano	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Joe Pavelski	Blake Comeau	Patrick Kane	60	1	2	2
2	Aleksander Barkov	James van Riemsdyk	Nikolaj Ehlers	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Sami Vatanen	60	1	2	2
2	Paul Martin	Justin Braun	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joe Pavelski	David Desharnais	60	1	2	2
2	Aleksander Barkov	Blake Comeau	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Paul Martin	60	1	2	2
2	Sami Vatanen	Justin Braun	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Joe Pavelski	60	1	2	2	Mark Giordano	Paul Martin	60	1	2	2
2	Patrick Kane	40	1	2	2	Sami Vatanen	Justin Braun	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joe Pavelski	Patrick Kane	60	1	2	2
2	Aleksander Barkov	James van Riemsdyk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Paul Martin	60	1	2	2
2	Sami Vatanen	Justin Braun	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Joe Pavelski	Blake Comeau	Patrick Kane	Mark Giordano	Paul Martin

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Joe Pavelski	Blake Comeau	Patrick Kane	Mark Giordano	Paul Martin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
David Desharnais, Tanner Glass, Matt Nieto	David Desharnais, Tanner Glass	Matt Nieto

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Damon Severson, Ryan Murphy, Ben Harpur	Damon Severson	Ryan Murphy, Ben Harpur

Tirs de Pénalité
Joe Pavelski, Patrick Kane, Aleksander Barkov, Blake Comeau, James van Riemsdyk

Gardien
#1 : Ben Bishop, #2 : Anders Lindback

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

#	VS Équipe	GP	W	OTL	SOW	GF	GA	Diff	P	PCT	G	A	TP	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	Senators	1	0	1	0	1	2	-1	1	0.500	1	2	3	0	1	0	0	30	7	7	14	2	37	11	6	21	3	0	0.00%	3	0	100.00%	0	27	65	41.54%	52	89	58.43%	28	57	49.12%	21	14	26	7	14	6
2	Blues	1	1	0	0	7	4	3	2	1.000	7	11	18	0	4	3	0	31	12	12	7	0	26	28	11	18	4	2	50.00%	5	1	80.00%	1	27	65	41.54%	52	89	58.43%	28	57	49.12%	22	13	21	8	16	8
3	Blackhawks	1	0	0	1	6	5	1	2	1.000	6	9	15	1	1	3	2	25	7	5	10	10	35	11	2	20	2	1	50.00%	1	0	100.00%	0	27	65	41.54%	52	89	58.43%	28	57	49.12%	20	12	26	9	17	8
4	Kings	1	1	0	0	3	1	2	2	1.000	3	4	7	0	1	2	0	32	10	14	8	0	28	14	4	17	3	0	0.00%	3	1	66.67%	0	27	65	41.54%	52	89	58.43%	28	57	49.12%	24	16	21	7	13	7
	Vs Division	1	0	1	0	1	2	-1	1	0.500	1	2	3	0	1	0	0	30	7	7	14	2	37	11	6	21	3	0	0.00%	3	0	100.00%	0	27	65	41.54%	52	89	58.43%	28	57	49.12%	21	14	26	7	14	6
	Vs Conference	1	0	1	0	1	2	-1	1	0.500	1	2	3	0	1	0	0	30	7	7	14	2	37	11	6	21	3	0	0.00%	3	0	100.00%	0	27	65	41.54%	52	89	58.43%	28	57	49.12%	21	14	26	7	14	6
	Since Last GM Reset	4	2	1	1	17	12	5	7	0.875	17	26	43	1	7	8	2	118	36	38	39	12	126	64	23	76	12	3	25.00%	12	2	83.33%	1	27	65	41.54%	52	89	58.43%	28	57	49.12%	89	56	95	32	62	31
	Total	4	2	1	1	17	12	5	7	0.875	17	26	43	1	7	8	2	118	36	38	39	12	126	64	23	76	12	3	25.00%	12	2	83.33%	1	27	65	41.54%	52	89	58.43%	28	57	49.12%	89	56	95	32	62	31

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	7	SOW1	17	26	43	118	126	64	23	76	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	0	0	1	1	0	17	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	0	1	0	13	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	1	0	0	4	3

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	0	0	1	1	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
12	3	25.00%	12	2	83.33%	1

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
36	38	39	12	1	7	8	2

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
27	65	41.54%	52	89	58.43%	28	57	49.12%

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
89	56	95	32	62	31

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22	@	Maple Leafs3,Kings1	RECAP
Sat, Nov 23	@	Maple Leafs1,Senators2 (OT)	RECAP
Tue, Nov 26	@	Blues4,Maple Leafs7	RECAP
Wed, Nov 27	@	Blackhawks5,Maple Leafs6 (SO)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7151	3764	4705	1882	1317
Prix des Billets	90	55	35	25	180
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	18819	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
66,200,000$	19,615,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	36,054,746$	36,054,746$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Joe Pavelski	AGE:32	PO:0	OV:78
Blake Comeau	AGE:30	PO:0	OV:69
James van Riemsdyk	AGE:27	PO:0	OV:69
*Nikolaj Ehlers	AGE:20	PO:0	OV:64
Tanner Glass	AGE:32	PO:0	OV:64
Matt Nieto	AGE:23	PO:0	OV:63
Manny Malhotra	AGE:36	PO:0	OV:59
Rich Clune	AGE:29	PO:0	OV:57
John Scott	AGE:34	PO:0	OV:56
Matt Frattin	AGE:28	PO:0	OV:55
Blair Jones	AGE:30	PO:0	OV:55
Ryan Dzingel	AGE:24	PO:0	OV:55
Chase Balisy	AGE:24	PO:0	OV:52
*Cole Ully	AGE:21	PO:0	OV:51
*Ben Johnson	AGE:22	PO:0	OV:51
Greger Hanson	AGE:28	PO:0	OV:48
Mike Liambas	AGE:27	PO:0	OV:46

Joe Pavelski	AGE:32	PO:0	OV:78
Aleksander Barkov	AGE:21	PO:0	OV:74
David Desharnais	AGE:30	PO:0	OV:66
Manny Malhotra	AGE:36	PO:0	OV:59
*Mark McNeill	AGE:23	PO:0	OV:59
Jordan Schroeder	AGE:26	PO:0	OV:56
Blair Jones	AGE:30	PO:0	OV:55
Ryan Dzingel	AGE:24	PO:0	OV:55
*Brayden Irwin	AGE:28	PO:0	OV:55
Chase Balisy	AGE:24	PO:0	OV:52
Blake Coleman	AGE:24	PO:0	OV:50
Shane Bakker	AGE:28	PO:0	OV:48
Ryan Cruthers	AGE:32	PO:0	OV:46

Patrick Kane	AGE:27	PO:0	OV:78
Joe Pavelski	AGE:32	PO:0	OV:78
Blake Comeau	AGE:30	PO:0	OV:69
*Nikolaj Ehlers	AGE:20	PO:0	OV:64
Matt Nieto	AGE:23	PO:0	OV:63
*Mark McNeill	AGE:23	PO:0	OV:59
Tom Kostopoulos	AGE:37	PO:0	OV:57
Rich Clune	AGE:29	PO:0	OV:57
Jordan Schroeder	AGE:26	PO:0	OV:56
Matt Frattin	AGE:28	PO:0	OV:55
Blair Jones	AGE:30	PO:0	OV:55
Ryan Dzingel	AGE:24	PO:0	OV:55
Chase Balisy	AGE:24	PO:0	OV:52
Kenny Ryan	AGE:25	PO:0	OV:52
*Cole Ully	AGE:21	PO:0	OV:51
*Justin Holl	AGE:24	PO:0	OV:51
Joel Rechlicz	AGE:29	PO:0	OV:47

Défense #1

Défense #2

Gardien

Mark Giordano	AGE:33	PO:0	OV:76
Paul Martin	AGE:35	PO:0	OV:73
Sami Vatanen	AGE:25	PO:0	OV:72
Justin Braun	AGE:29	PO:0	OV:69
Damon Severson	AGE:22	PO:0	OV:67
Dalton Prout	AGE:26	PO:0	OV:66
Ryan Murphy	AGE:23	PO:0	OV:66
*Darren Dietz	AGE:23	PO:0	OV:63

Tyson Strachan	AGE:31	PO:0	OV:56
*Anthony DeAngelo	AGE:20	PO:0	OV:55
Dylan Reese	AGE:32	PO:0	OV:54
*Calle Andersson	AGE:22	PO:0	OV:53
*Ben Harpur	AGE:21	PO:0	OV:51
*Jan Kostalek	AGE:21	PO:0	OV:51
*Justin Holl	AGE:24	PO:0	OV:51
*Robert Hagg	AGE:21	PO:0	OV:51

Ben Bishop	AGE:29	PO:0	OV:83
Anders Lindback	AGE:28	PO:0	OV:71
Jeff Lerg	AGE:30	PO:0	OV:65
*Mason McDonald	AGE:20	PO:0	OV:63
*Pat Nagle	AGE:29	PO:0	OV:50

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Andrew Engelage	Maple Leafs
Anthony Cirelli	Maple Leafs	2015	112
Blake Kessel	Maple Leafs
Brendan O'Donnell	Maple Leafs
Brett Howden	Maple Leafs	2016	19
Chaz Reddekopp	Maple Leafs	2015	215
Chris Martenet	Maple Leafs	2015	119
Dale Mitchell	Maple Leafs
Daniel Vladar	Maple Leafs	2015	89
Eetu Tuulola	Maple Leafs	2016	79
Eric Knodel	Maple Leafs
Eric Roy	Maple Leafs	2013	128
Evan Cowley	Maple Leafs	2013	173
Fredrik Pettersson-Wentzel	Maple Leafs
Gabriel Beaupre	Maple Leafs
Grant Rollheiser	Maple Leafs
Greg Scott	Maple Leafs
Jack Dougherty	Maple Leafs	2014	36
Jacob Middleton	Maple Leafs	2014	148
Jeremy Lauzon	Maple Leafs	2015	56
Jerome Flaake	Maple Leafs
Joe Basaraba	Maple Leafs
John Westin	Maple Leafs
Jonne Tammela	Maple Leafs	2015	179
Josh Nicholls	Maple Leafs
Juraj Mikus	Maple Leafs
Kelly Summers	Maple Leafs	2014	210
Marcel Muller	Maple Leafs
Markus Niemelainen	Maple Leafs	2016	60
Max Gardiner	Maple Leafs
Nick Seeler	Maple Leafs	2011	153
Oskar Lindblom	Maple Leafs	2014	96
Pierre Engvall	Maple Leafs	2014	186
Ryan Donato	Maple Leafs	2014	49
Ryan Mantha	Maple Leafs	2014	156
Spencer Abbott	Maple Leafs
Tommi Kivisto	Maple Leafs
Vojtech Budik	Maple Leafs	2016	199

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	TOR	CAR TOR		TOR	TOR	TOR	TOR
2018	CAR TOR	TOR	TOR	TOR	TOR	TOR	TOR
2019	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2020	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2021	TOR	TOR	TOR	TOR	TOR	TOR	TOR

[12.09.2016 4:51:47] - Maple Leafs drafts Markus Niemelainen as the #60 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:10:21] - Anders Lindback was added to Maple Leafs.
[14.09.2016 7:10:21] - Anders Lindback signed with Maple Leafs for 800 000 Kč for 1 year(s) with 0 Kč in bonus.
[14.09.2016 7:25:37] - Maple Leafs drafts Eetu Tuulola as the #79 overall pick in the Entry Draft of year 2016.
[20.09.2016 5:55:39] - Anthony DeAngelo was added to Maple Leafs.
[20.09.2016 5:55:40] - TRADE : From Hurricanes to Maple Leafs : Anthony DeAngelo (54), Y:2017-RND:2-CAR, Y:2018-RND:1-CAR.
[20.09.2016 5:55:40] - TRADE : From Maple Leafs to Hurricanes : Phil Kessel (71), Dennis Wideman (69).
[22.09.2016 7:42:34] - Maple Leafs drafts MISSED PICK as the #109 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:44:42] - Marlies hired Sheldon Keefe for 100 000 Kč for 5 year(s).
[06.10.2016 6:58:24] - Maple Leafs drafts MISSED PICK as the #167 overall pick in the Entry Draft of year 2016.
[06.10.2016 6:58:46] - Maple Leafs drafts MISSED PICK as the #169 overall pick in the Entry Draft of year 2016.
[10.10.2016 12:16:42] - Maple Leafs drafts Vojtech Budik as the #199 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:21:45] - TRADE : From Maple Leafs to Senators : MISSED PICK (P), MISSED PICK (P).
[12.10.2016 6:21:45] - TRADE : From Senators to Maple Leafs : 3 000 000 Kč (Money).
[12.10.2016 6:24:44] - TRADE : From Maple Leafs to Avalanche : MISSED PICK (P).
[12.10.2016 6:24:44] - TRADE : From Avalanche to Maple Leafs : 1 000 000 Kč (Money).
[15.10.2016 7:20:16] - Mason McDonald was added to Maple Leafs.
[15.10.2016 7:24:32] - Mike Liambas was added to Maple Leafs.
[15.10.2016 7:24:32] - Mike Liambas signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:01] - Ryan Cruthers was added to Maple Leafs.
[15.10.2016 7:25:01] - Ryan Cruthers signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:15] - Greger Hanson was added to Maple Leafs.
[15.10.2016 7:25:15] - Greger Hanson signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:30] - Joel Rechlicz was added to Maple Leafs.
[15.10.2016 7:25:30] - Joel Rechlicz signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:55] - Shane Bakker was added to Maple Leafs.
[15.10.2016 7:25:55] - Shane Bakker signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:27:19] - Pat Nagle was added to Maple Leafs.
[15.10.2016 7:27:19] - Pat Nagle signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 22:24:42] - Dalton Prout was added to Maple Leafs.
[15.10.2016 22:24:42] - TRADE : From Maple Leafs to Kings : Y:2017-RND:3-TOR.
[15.10.2016 22:24:42] - TRADE : From Kings to Maple Leafs : Dalton Prout (66).
[16.10.2016 22:57:19] - Dylan Reese was added to Maple Leafs.
[16.10.2016 22:57:19] - Dylan Reese signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:33] - Tyson Strachan was added to Maple Leafs.
[16.10.2016 22:57:33] - Tyson Strachan signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:46] - Jeff Lerg was added to Maple Leafs.
[16.10.2016 22:57:46] - Jeff Lerg signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:58] - Blair Jones was added to Maple Leafs.
[16.10.2016 22:57:58] - Blair Jones signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:58:12] - Matt Frattin was added to Maple Leafs.
[16.10.2016 22:58:12] - Matt Frattin signed with Maple Leafs for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:22:20] - Rich Clune was added to Maple Leafs.
[17.10.2016 21:22:20] - Rich Clune signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:13] - John Scott was added to Maple Leafs.
[17.10.2016 21:23:13] - John Scott signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:26] - Tom Kostopoulos was added to Maple Leafs.
[17.10.2016 21:23:26] - Tom Kostopoulos signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:38] - Manny Malhotra was added to Maple Leafs.
[17.10.2016 21:23:38] - Manny Malhotra signed with Maple Leafs for 700 000 Kč for 1 year(s) with 0 Kč in bonus.

Pas de Blessure ou de Suspension.

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	Ligue											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