Stanley Cup Winners Hockey League

Marlies de Toronto
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Sebastian Aho	20	X				100.00	66	39	88	83	70	85	89	82	86	81	84	79	83	65	71	76	99	79	0	23	3	6,500,000$
2	Chris Kreider	0		X			100.00	84	51	69	80	87	83	86	77	62	73	79	59	78	77	74	67	99	78	0	29	3	4,500,000$
3	Nick Foligno	0		X	X		100.00	91	64	72	70	76	83	85	69	79	72	68	77	69	82	89	46	99	77	0	32	1	5,400,000$
4	Jason Zucker	0		X			100.00	72	43	84	77	71	82	86	73	54	72	75	63	74	75	72	57	99	75	0	28	2	5,500,000$
5	Jesper Fast	0			X		100.00	83	39	84	67	76	81	85	66	54	68	65	83	66	77	67	43	99	74	0	28	4	1,500,000$
6	Oskar Sundqvist	0	X				100.00	79	42	83	67	85	76	84	66	77	68	69	81	66	71	67	62	99	74	0	26	1	2,250,000$
7	Zach Sanford	0		X			100.00	79	46	82	66	88	73	81	67	53	68	69	71	66	71	69	64	99	73	0	25	3	1,000,000$
8	Jake DeBrusk	0		X			100.00	59	39	88	76	74	81	83	74	56	71	78	59	76	67	69	82	99	73	0	23	5	2,000,000$
9	Erik Haula	0	X				100.00	57	39	83	71	73	81	76	68	82	67	66	64	71	77	67	43	99	70	0	29	4	2,750,000$
10	Tyson Jost	0	X				100.00	65	39	87	69	70	76	85	67	73	68	64	66	69	63	67	86	99	70	0	22	5	1,500,000$
11	Colton Parayko (A)	0				X	100.00	81	48	88	71	98	89	87	70	30	75	71	84	57	73	68	54	99	79	0	27	1	5,500,000$
12	Cam Fowler	0				X	100.00	57	38	83	74	79	89	81	73	30	77	69	72	58	77	71	69	99	75	0	28	4	5,500,000$
13	Brian Dumoulin	0				X	100.00	83	43	86	64	88	87	78	63	30	75	57	90	52	77	69	58	99	75	0	28	4	3,500,000$
14	Alec Martinez	0				X	100.00	74	42	86	67	79	87	80	66	30	74	61	76	53	82	73	37	99	74	0	33	1	3,000,000$
15	Joel Edmundson	0				X	100.00	84	55	63	66	89	85	84	65	30	71	62	81	52	73	67	62	99	74	0	27	1	2,000,000$
16	Adam Pelech	0				X	100.00	85	42	83	64	87	85	81	63	30	73	59	85	52	71	66	63	99	74	0	26	1	1,600,000$
Rayé
1	Andrei Svechnikov	0			X		100.00	82	45	71	76	82	85	89	77	53	75	75	57	78	61	65	93	99	75	0	20	3	3,000,000$
2	Mats Zuccarello	0			X		100.00	67	38	83	77	64	83	80	76	54	78	72	69	78	82	75	32	99	75	0	33	6	4,500,000$
3	Nick Ritchie	0		X			100.00	86	43	54	65	86	77	79	68	54	73	66	61	68	69	67	83	98	71	0	24	2	1,650,000$
4	Andrew Cogliano	0	X				100.00	73	38	84	69	65	78	87	64	56	63	58	73	64	82	73	48	98	71	0	33	2	3,250,000$
5	Kevan Miller	0				X	100.00	77	56	75	64	82	81	69	64	30	63	55	77	65	63	54	27	98	68	0	32	6	1,000,000$
Équipe Mineure
1	Adam Erne	0		X			100.00	89	47	77	63	80	74	87	62	58	61	59	57	63	68	65	74	98	68	0	25	3	800,000$
2	Brett Ritchie	0			X		100.00	84	50	78	61	89	73	75	59	52	57	58	60	59	73	68	62	98	67	0	27	1	1,750,000$
3	John Quenneville (R)	0	X				100.00	61	45	86	63	76	83	80	61	73	60	62	64	63	67	64	76	98	67	0	24	3	750,000$
4	Paul Bittner (R)	0	X	X			100.00	73	51	87	59	90	85	82	58	55	57	56	60	59	67	64	73	98	67	0	23	3	750,000$
5	Dominic Toninato (R)	0	X				100.00	63	47	82	61	79	80	78	59	65	58	60	62	59	71	66	57	98	67	0	26	3	750,000$
6	Jordan Kyrou (R)	0	X				100.00	57	39	89	67	69	77	76	66	58	63	64	65	68	63	64	76	98	67	0	22	3	750,000$
7	Lukas Vejdemo (R)	0	X				100.00	62	45	90	62	79	78	83	63	74	61	58	64	65	67	64	62	98	67	0	24	3	750,000$
8	Rasmus Asplund (R)	0	X				100.00	58	39	82	66	70	81	78	63	72	64	61	65	63	65	66	77	99	67	0	22	3	750,000$
9	Isaac Ratcliffe (R)	0		X			100.00	74	52	83	56	92	85	87	55	51	54	54	59	53	61	62	76	98	66	0	21	3	750,000$
10	Nicholas Merkley (R)	0			X		100.00	58	42	89	60	69	77	73	62	57	61	59	58	62	65	63	78	98	64	0	23	3	750,000$
11	Matthew Phillips (R)	0			X		100.00	53	39	87	61	57	83	78	62	58	60	59	57	62	63	61	64	98	64	0	22	3	750,000$
12	Spencer Smallman (R)	0			X		100.00	63	45	84	60	77	75	73	61	55	59	52	58	61	67	63	52	98	64	0	23	3	750,000$
13	Daniel O'Regan (R)	0	X				100.00	44	35	82	76	58	47	41	61	48	58	58	58	58	58	49	79	98	57	0	26	3	750,000$
14	Ryan Collins (R)	0				X	100.00	77	49	87	55	93	76	78	56	30	53	54	60	45	67	64	70	98	65	0	24	3	750,000$
15	Jesper Lindgren (R)	0				X	100.00	53	41	83	58	67	75	74	57	30	56	52	54	51	65	63	66	98	61	0	23	3	750,000$
16	Andrew Welinski (R)	0				X	100.00	48	35	81	65	75	47	43	50	30	41	40	56	49	60	50	71	98	52	0	27	3	750,000$
17	Casey Mittelstadt	0	X				100.00	62	39	88	66	77	81	83	64	71	63	62	65	66	63	65	87	98	69	0	21	1	875,000$
18	Henrik Borgstrom	0	X				100.00	64	43	86	64	83	80	77	66	73	61	59	63	66	65	62	81	98	68	0	23	6	1,250,000$
19	Martin Fehervary (R)	0				X	100.00	64	45	87	60	81	84	74	58	30	57	57	59	46	61	63	74	98	65	0	20	6	800,000$
20	Nick Ebert	0				X	100.00	62	47	86	57	74	82	81	56	30	55	54	58	46	71	66	59	98	64	0	26	1	750,000$

	MOYENNE D'ÉQUIPE					100.00	70	44	82	66	78	79	79	65	53	65	62	67	62	69	66	65	98	70

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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	Âge	Contrat	Salaire
1	Robin Lehner	100.00	95	94	92	95	94	93	95	94	93	95	94	77	83	59	99	83	0	29	3	4,500,000$
Rayé
1	Juuse Saros	100.00	91	95	93	68	90	89	91	90	89	91	90	69	73	59	99	78	0	25	3	2,000,000$
Équipe Mineure
1	Ville Husso (R)	100.00	74	84	82	84	73	72	74	73	72	74	73	69	73	61	98	68	0	25	3	750,000$
2	Marcus Hogberg (R)	100.00	73	75	73	91	72	71	73	72	71	73	72	71	75	62	98	67	0	25	3	750,000$
3	Veini Vehvilainen (R)	100.00	71	82	80	71	70	69	71	70	69	71	70	65	69	62	98	64	0	23	3	750,000$
4	Brandon Halverson (R)	100.00	60	58	56	88	59	58	60	59	58	60	59	67	71	67	98	57	0	24	3	750,000$

	MOYENNE D'ÉQUIPE	100.00	77	81	79	83	76	75	77	76	75	77	76	70	74	62	98	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Michel Therrien	73	74	74	73	82	82	56	CAN	58	1	700,000$

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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	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

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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	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Pelech	TORONTO Maple Leafs	D	26	8/16/1994	No	99 Kg	191 CM	No	No	No	1	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$	No						Lien
Alec Martinez	TORONTO Maple Leafs	D	33	7/26/1987	No	95 Kg	185 CM	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No						Lien
Andrei Svechnikov	TORONTO Maple Leafs	RW	20	3/26/2000	No	89 Kg	188 CM	No	No	No	3	Pro & Farm	3,000,000$	3,000,000$	750,000$	750,000$	3,000,000$	3,000,000$	No	3,000,000$	3,000,000$				Lien
Andrew Cogliano	TORONTO Maple Leafs	C	33	6/14/1987	No	80 Kg	178 CM	No	No	No	2	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$					Lien
Brian Dumoulin	TORONTO Maple Leafs	D	28	9/6/1991	No	94 Kg	193 CM	No	No	No	4	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	3,500,000$			Lien
Cam Fowler	TORONTO Maple Leafs	D	28	12/5/1991	No	94 Kg	185 CM	No	No	No	4	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$	5,500,000$	5,500,000$			Lien
Chris Kreider	TORONTO Maple Leafs	LW	29	4/30/1991	No	99 Kg	191 CM	No	No	No	3	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$				Lien
Colton Parayko	TORONTO Maple Leafs	D	27	5/12/1993	No	105 Kg	198 CM	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No						Lien
Erik Haula	TORONTO Maple Leafs	C	29	3/23/1991	No	88 Kg	183 CM	No	No	No	4	Pro & Farm	2,750,000$	2,750,000$	2,750,000$	2,750,000$	2,750,000$	2,750,000$	No	2,750,000$	2,750,000$	2,750,000$			Lien
Jake DeBrusk	TORONTO Maple Leafs	LW	23	10/17/1996	No	85 Kg	183 CM	No	No	No	5	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$		Lien
Jason Zucker	TORONTO Maple Leafs	LW	28	1/16/1992	No	87 Kg	180 CM	No	No	No	2	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$					Lien
Jesper Fast	TORONTO Maple Leafs	RW	28	12/2/1991	No	87 Kg	185 CM	No	No	No	4	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	1,500,000$	1,500,000$			Lien
Joel Edmundson	TORONTO Maple Leafs	D	27	6/28/1993	No	98 Kg	193 CM	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No						Lien
Juuse Saros	TORONTO Maple Leafs	G	25	4/19/1995	No	82 Kg	180 CM	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	750,000$	750,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$				Lien
Kevan Miller	TORONTO Maple Leafs	D	32	11/15/1987	No	95 Kg	188 CM	No	No	No	6	Pro & Farm	1,000,000$	1,000,000$	750,000$	750,000$	1,000,000$	1,000,000$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	Lien
Mats Zuccarello	TORONTO Maple Leafs	RW	33	9/1/1987	No	81 Kg	173 CM	No	No	No	6	Pro & Farm	4,500,000$	4,500,000$	750,000$	750,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	Lien
Nick Foligno	TORONTO Maple Leafs	LW/RW	32	10/31/1987	No	95 Kg	183 CM	No	No	No	1	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	5,400,000$	5,400,000$	5,400,000$	No						Lien
Nick Ritchie	TORONTO Maple Leafs	LW	24	12/5/1995	No	105 Kg	188 CM	No	No	No	2	Pro & Farm	1,650,000$	1,650,000$	1,650,000$	1,650,000$	1,650,000$	1,650,000$	No	1,650,000$					Lien
Oskar Sundqvist	TORONTO Maple Leafs	C	26	3/23/1994	No	95 Kg	191 CM	No	No	No	1	Pro & Farm	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	No						Lien
Robin Lehner	TORONTO Maple Leafs	G	29	7/24/1991	No	109 Kg	193 CM	No	No	No	3	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$				Lien
Sebastian Aho	TORONTO Maple Leafs	C	23	7/26/1997	No	80 Kg	183 CM	No	No	No	3	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$				Lien
Tyson Jost	TORONTO Maple Leafs	C	22	3/14/1998	No	85 Kg	180 CM	No	No	No	5	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$		Lien
Zach Sanford	TORONTO Maple Leafs	LW	25	11/9/1994	No	94 Kg	193 CM	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	1,000,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.39	92 Kg	185 CM	2.96	3,213,043$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
73,900,000$	54,150,000$	43,750,000$	22,250,000$	9,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Sebastian Aho	Nick Foligno	31	1	2	2
2	Chris Kreider	Tyson Jost		26	1	2	2
3	Jake DeBrusk	Oskar Sundqvist	Jason Zucker	23	1	1	3
4	Zach Sanford	Erik Haula	Jesper Fast	20	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Parayko	Cam Fowler	31	1	2	2
2	Alec Martinez	Brian Dumoulin	26	1	2	2
3	Adam Pelech	Joel Edmundson	23	1	2	2
4	Colton Parayko	Cam Fowler	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Zucker	Sebastian Aho		55	1	1	3
2	Chris Kreider	Erik Haula		45	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Parayko	Cam Fowler	55	1	2	2
2	Brian Dumoulin	Alec Martinez	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Oskar Sundqvist	Jesper Fast	55	1	2	2
2	Erik Haula	Zach Sanford	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Dumoulin	Cam Fowler	55	1	2	2
2	Colton Parayko	Joel Edmundson	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Oskar Sundqvist	55	1	2	2	Colton Parayko	Cam Fowler	55	1	2	2
2	Erik Haula	45	1	2	2	Brian Dumoulin	Alec Martinez	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sebastian Aho	Chris Kreider	55	1	2	2
2	Oskar Sundqvist	Jason Zucker	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colton Parayko	Cam Fowler	55	1	2	2
2	Brian Dumoulin	Alec Martinez	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kreider	Sebastian Aho		Colton Parayko	Cam Fowler

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kreider	Sebastian Aho	Nick Foligno	Colton Parayko	Cam Fowler

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Jason Zucker, Jesper Fast	, Jason Zucker

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alec Martinez, Joel Edmundson, Adam Pelech	Alec Martinez	Alec Martinez, Joel Edmundson

Tirs de Pénalité
Sebastian Aho, Chris Kreider, , Oskar Sundqvist,

Gardien
#1 : Robin Lehner, #2 :

Lignes d'Attaque Perso. en Prol.
Sebastian Aho, , Oskar Sundqvist, Chris Kreider, , Jason Zucker, Jason Zucker, Jesper Fast, Erik Haula, Zach Sanford, Jake DeBrusk

Lignes de Défense Perso. en Prol.
Colton Parayko, Cam Fowler, Brian Dumoulin, Alec Martinez, Joel Edmundson

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

	Ligue												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 Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
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 Éxtérieurs
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 Match 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

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	5000	1000
Prix des Billets	195	190	185	180	225
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
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
40	0 - 0.00%	0$	0$	19000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	73,900,000$	66,400,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	23	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	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	242,790,041$	242,790,041$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	89,650,000$	89,650,000$	-56,000,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Chris Kreider	AGE:29	PO:67	OV:78
Nick Foligno	AGE:32	PO:46	OV:77
Jason Zucker	AGE:28	PO:57	OV:75
Jake DeBrusk	AGE:23	PO:82	OV:73
Zach Sanford	AGE:25	PO:64	OV:73
Nick Ritchie	AGE:24	PO:83	OV:71
Adam Erne	AGE:25	PO:74	OV:68
*Paul Bittner	AGE:23	PO:73	OV:67
*Isaac Ratcliffe	AGE:21	PO:76	OV:66

Sebastian Aho	AGE:23	PO:76	OV:79
Oskar Sundqvist	AGE:26	PO:62	OV:74
Andrew Cogliano	AGE:33	PO:48	OV:71
Tyson Jost	AGE:22	PO:86	OV:70
Erik Haula	AGE:29	PO:43	OV:70
Casey Mittelstadt	AGE:21	PO:87	OV:69
Henrik Borgstrom	AGE:23	PO:81	OV:68
*Rasmus Asplund	AGE:22	PO:77	OV:67
*John Quenneville	AGE:24	PO:76	OV:67
*Jordan Kyrou	AGE:22	PO:76	OV:67
*Paul Bittner	AGE:23	PO:73	OV:67
*Lukas Vejdemo	AGE:24	PO:62	OV:67
*Dominic Toninato	AGE:26	PO:57	OV:67
*Daniel O'Regan	AGE:26	PO:79	OV:57

Nick Foligno	AGE:32	PO:46	OV:77
Andrei Svechnikov	AGE:20	PO:93	OV:75
Mats Zuccarello	AGE:33	PO:32	OV:75
Jesper Fast	AGE:28	PO:43	OV:74
Brett Ritchie	AGE:27	PO:62	OV:67
*Nicholas Merkley	AGE:23	PO:78	OV:64
*Matthew Phillips	AGE:22	PO:64	OV:64
*Spencer Smallman	AGE:23	PO:52	OV:64

Défense #1

Défense #2

Gardien

Colton Parayko	AGE:27	PO:54	OV:79
Cam Fowler	AGE:28	PO:69	OV:75
Brian Dumoulin	AGE:28	PO:58	OV:75
Adam Pelech	AGE:26	PO:63	OV:74
Joel Edmundson	AGE:27	PO:62	OV:74
Alec Martinez	AGE:33	PO:37	OV:74

Kevan Miller	AGE:32	PO:27	OV:68
*Martin Fehervary	AGE:20	PO:74	OV:65
*Ryan Collins	AGE:24	PO:70	OV:65
Nick Ebert	AGE:26	PO:59	OV:64
*Jesper Lindgren	AGE:23	PO:66	OV:61
*Andrew Welinski	AGE:27	PO:71	OV:52

Robin Lehner	AGE:29	PO:59	OV:83
Juuse Saros	AGE:25	PO:59	OV:78
*Ville Husso	AGE:25	PO:61	OV:68
*Marcus Hogberg	AGE:25	PO:62	OV:67
*Veini Vehvilainen	AGE:23	PO:62	OV:64
*Brandon Halverson	AGE:24	PO:67	OV:57

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
Alex Laferriere	TORONTO Maple Leafs
Alexander Romanov	TORONTO Maple Leafs	31	56
Anton Andersson	TORONTO Maple Leafs
Arvid Henrikson	TORONTO Maple Leafs	27	68
Bowen Byram	TORONTO Maple Leafs	33	3
Braden Schneider	TORONTO Maple Leafs
David Farrance	TORONTO Maple Leafs	29
Denis Sminov	TORONTO Maple Leafs
Dylan Peterson	TORONTO Maple Leafs
Erik Nystrom	TORONTO Maple Leafs	20	87
Grant Mismash	TORONTO Maple Leafs	29	52
Jackson Kunz	TORONTO Maple Leafs
Jasper Weatherby	TORONTO Maple Leafs	31	134
Joe Morrow	TORONTO Maple Leafs
John Ludvig	TORONTO Maple Leafs	33	159
Joni Jurmo	TORONTO Maple Leafs
Julius Bergman	TORONTO Maple Leafs
Julius Nattinen	TORONTO Maple Leafs	25	26
Karl Henriksson	TORONTO Maple Leafs	33	55
Lukas Parik	TORONTO Maple Leafs	33	133
Luke Martin	TORONTO Maple Leafs	29	60
Marco Rossi	TORONTO Maple Leafs
Mattias Norlinder	TORONTO Maple Leafs	33	81
Maxim Chudinov	TORONTO Maple Leafs
Michael Vukojevic	TORONTO Maple Leafs	33	107
Nail Yakupov	TORONTO Maple Leafs
Nikita Scherbak	TORONTO Maple Leafs
Noel Hoefenmayer	TORONTO Maple Leafs
Ostap Safin	TORONTO Maple Leafs
Petrus Palmu	TORONTO Maple Leafs
Raphael Lavoie	TORONTO Maple Leafs	33	29
Ryan Murphy	TORONTO Maple Leafs
Sean Farrell	TORONTO Maple Leafs
Simon Fernholm	TORONTO Maple Leafs	20	96
Toni Utunen	TORONTO Maple Leafs	31	160
Ty Smilanic	TORONTO Maple Leafs

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
35	TOR	TOR	TOR	TOR	TOR	TOR	TOR
36	TOR	TOR	TOR	TOR	TOR	TOR	TOR
37	TOR	TOR	TOR	TOR	TOR	TOR	TOR
38	TOR	TOR	TOR	TOR	TOR	TOR	TOR
39	TOR	TOR	TOR	TOR	TOR	TOR	TOR

La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[11/21/2020 6:45:33 PM] - TORONTO Maple Leafs was eliminated at round 1 of year 34.
[11/17/2020 8:05:16 PM] - Marlies de Toronto didn't make playoff for year 34.
[11/1/2020 7:01:11 AM] - Jackson Kunz has been added to TORONTO Maple Leafs.
[11/1/2020 7:01:04 AM] - Joni Jurmo has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:57 AM] - Alex Laferriere has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:47 AM] - Dylan Peterson has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:39 AM] - Sean Farrell has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:30 AM] - Ty Smilanic has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:18 AM] - Braden Schneider has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:10 AM] - Marco Rossi has been added to TORONTO Maple Leafs.
[10/13/2020 8:29:15 PM] - David Farrance has been added to TORONTO Maple Leafs.
[9/7/2020 5:32:20 PM] - New Record for Team's Most Hits (38) in 1 Game for TORONTO Maple Leafs!
[7/5/2020 9:00:48 PM] - Joe Morrow has been added to TORONTO Maple Leafs.
[7/5/2020 9:00:38 PM] - Joe Morrow was released by TORONTO Maple Leafs
[6/17/2020 8:43:32 PM] - Ville Husso was added to TORONTO Maple Leafs.
[6/17/2020 8:43:29 PM] - Veini Vehvilainen was added to TORONTO Maple Leafs.
[6/17/2020 8:43:26 PM] - Spencer Smallman was added to TORONTO Maple Leafs.
[6/17/2020 8:43:21 PM] - Ryan Collins was added to TORONTO Maple Leafs.
[6/17/2020 8:43:18 PM] - Rasmus Asplund was added to TORONTO Maple Leafs.
[6/17/2020 8:43:14 PM] - Paul Bittner was added to TORONTO Maple Leafs.
[6/17/2020 8:43:08 PM] - Nicholas Merkley was added to TORONTO Maple Leafs.
[6/17/2020 8:43:03 PM] - Matthew Phillips was added to TORONTO Maple Leafs.
[6/17/2020 8:42:43 PM] - Martin Fehervary was added to TORONTO Maple Leafs.
[6/17/2020 8:42:39 PM] - Lukas Vejdemo was added to TORONTO Maple Leafs.
[6/17/2020 8:42:32 PM] - Jordan Kyrou was added to TORONTO Maple Leafs.
[6/17/2020 8:42:29 PM] - John Quenneville was added to TORONTO Maple Leafs.
[6/17/2020 8:42:23 PM] - Jesper Lindgren was added to TORONTO Maple Leafs.
[6/17/2020 8:42:06 PM] - Isaac Ratcliffe was added to TORONTO Maple Leafs.
[6/17/2020 8:42:02 PM] - Dominic Toninato was added to TORONTO Maple Leafs.
[6/17/2020 8:41:57 PM] - Daniel O'Regan was added to TORONTO Maple Leafs.
[6/17/2020 8:41:49 PM] - Brandon Halverson was added to TORONTO Maple Leafs.
[6/17/2020 8:41:37 PM] - Andrew Welinski was added to TORONTO Maple Leafs.
[6/17/2020 8:33:18 PM] - Julius Bergman has been added to TORONTO Maple Leafs.
[6/17/2020 8:33:11 PM] - Julius Bergman was released by TORONTO Maple Leafs
[6/17/2020 8:32:50 PM] - Ryan Murphy has been added to TORONTO Maple Leafs.
[6/17/2020 8:32:43 PM] - Ryan Murphy was released by TORONTO Maple Leafs
[6/17/2020 8:32:12 PM] - Nikita Scherbak has been added to TORONTO Maple Leafs.
[6/17/2020 8:32:03 PM] - Nikita Scherbak was released by TORONTO Maple Leafs
[6/17/2020 8:31:18 PM] - Nail Yakupov has been added to TORONTO Maple Leafs.
[6/17/2020 8:31:07 PM] - Nail Yakupov was released by TORONTO Maple Leafs
[6/15/2020 8:24:37 PM] - Marcus Hogberg was added to TORONTO Maple Leafs.
[5/8/2020 9:26:17 PM] - Marlies de Toronto didn't make playoff for year 33.
[5/8/2020 9:26:17 PM] - TORONTO Maple Leafs didn't make playoff for year 33.
[4/15/2020 10:08:15 PM] - John Carlson has been selected as captain for TORONTO Maple Leafs.
[4/15/2020 10:08:15 PM] - Unknown Player is no longer captain for TORONTO Maple Leafs.
[4/15/2020 8:29:30 PM] - TRADE : From EDMONTON Oilers to TORONTO Maple Leafs : Sebastian Aho (78).
[4/15/2020 8:29:30 PM] - TRADE : From TORONTO Maple Leafs to EDMONTON Oilers : John Carlson (82).
[4/15/2020 8:23:01 PM] - TRADE : From TORONTO Maple Leafs to CALGARY Flames : Evgenii Dadonov (75), Rasmus Sandin (P).
[4/15/2020 8:23:01 PM] - TRADE : From CALGARY Flames to TORONTO Maple Leafs : Cam Fowler (72), Jake DeBrusk (72), Nick Ritchie (72), Zach Sanford (68), Y:34-RND:3-CHI.

[12/30/2020 7:42:24 PM] (11 750 000 $) was added to TORONTO Maple Leafs bank account.
[12/30/2020 7:40:12 PM] TORONTO Maple Leafs roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[11/27/2020 6:38:16 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/27/2020 6:35:41 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/21/2020 6:45:26 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/21/2020 6:45:17 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/20/2020 7:18:17 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/20/2020 7:18:08 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/19/2020 8:18:20 PM] TORONTO Maple Leafs lines for next game are empty. Current rosters/lines are not erased.
[11/18/2020 6:22:25 PM] TORONTO Maple Leafs lines for next game are empty. Current rosters/lines are not erased.
[11/17/2020 8:01:30 PM] Last 7 Days Farm Star : 1 - Nic Petan of WILKIES-BARRIE Penguins (4-2-6) / 2 - Marcus Hogberg of Marlies de Toronto (0,971) / 3 - Connor Bunnaman of CHICAGO Wolves (1-4-5)
[11/17/2020 8:01:11 PM] TORONTO Maple Leafs lines for next game are empty. Current rosters/lines are not erased.
[11/15/2020 7:00:34 AM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased.
[11/13/2020 7:50:41 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased.
[11/10/2020 7:34:04 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased. But, TORONTO Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/9/2020 7:56:20 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased. But, TORONTO Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/6/2020 8:41:36 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased.
[11/4/2020 9:20:41 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased. But, TORONTO Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/2/2020 6:17:28 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased.
[11/1/2020 4:34:54 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased. But, TORONTO Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/1/2020 4:34:46 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/1/2020 4:34:36 PM] Successfully loaded TORONTO Maple Leafs lines done with Web Base Client and SQLite Database.
[11/1/2020 7:01:11 AM] Jackson Kunz has been added to TORONTO Maple Leafs.
[11/1/2020 7:01:04 AM] Joni Jurmo has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:57 AM] Alex Laferriere has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:47 AM] Dylan Peterson has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:39 AM] Sean Farrell has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:30 AM] Ty Smilanic has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:18 AM] Braden Schneider has been added to TORONTO Maple Leafs.
[11/1/2020 7:00:10 AM] Marco Rossi has been added to TORONTO Maple Leafs.
[10/31/2020 11:04:04 PM] Marlies de Toronto lines for next game are empty. Current rosters/lines are not erased.

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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
Saison Régulière
34	80	32	29	0	3	7	5	4	219	216	3	40	13	17	0	3	2	2	3	107	109	-2	40	19	12	0	0	5	3	1	112	107	5	91	219	388	607	1	10	70	75	66	11	2209	734	751	686	66	2361	660	677	1848	296	50	16.89%	276	52	81.16%	0	1271	2634	48.25%	1343	2838	47.32%	572	1228	46.58%	1909	1317	1932	597	1022	508
34	80	32	29	0	3	7	5	4	221	218	3	40	13	17	0	3	2	2	3	107	109	-2	40	19	12	0	0	5	3	1	114	109	5	91	221	392	613	1	10	69	77	67	11	2205	733	749	685	66	2365	663	683	1846	298	51	17.11%	278	51	81.65%	0	1271	2638	48.18%	1352	2845	47.52%	577	1239	46.57%	1908	1316	1933	597	1022	508
Total Saison Régulière	160	64	58	0	6	14	10	8	440	434	6	80	26	34	0	6	4	4	6	214	218	-4	80	38	24	0	0	10	6	2	226	216	10	182	440	780	1220	2	20	139	152	133	22	4414	1467	1500	1371	132	4726	1323	1360	3694	594	101	17.00%	554	103	81.41%	0	2542	5272	48.22%	2695	5683	47.42%	1149	2467	46.57%	3818	2634	3865	1194	2044	1017
Séries
34	4	0	4	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	4	6	-2	0	8	15	23	0	0	5	0	3	0	127	46	46	35	0	130	34	28	105	16	2	12.50%	13	2	84.62%	0	73	160	45.63%	70	156	44.87%	25	64	39.06%	93	62	103	31	53	25
Total Séries	4	0	4	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	4	6	-2	0	8	15	23	0	0	5	0	3	0	127	46	46	35	0	130	34	28	105	16	2	12.50%	13	2	84.62%	0	73	160	45.63%	70	156	44.87%	25	64	39.06%	93	62	103	31	53	25

Année	R1	R2	R3	R4	R5	R6	R7
35	TOR	TOR	TOR	TOR	TOR	TOR	TOR
36	TOR	TOR	TOR	TOR	TOR	TOR	TOR
37	TOR	TOR	TOR	TOR	TOR	TOR	TOR
38	TOR	TOR	TOR	TOR	TOR	TOR	TOR
39	TOR	TOR	TOR	TOR	TOR	TOR	TOR

Année	R1	R2	R3	R4	R5	R6	R7
35	TOR	TOR	TOR	TOR	TOR	TOR	TOR
36	TOR	TOR	TOR	TOR	TOR	TOR	TOR
37	TOR	TOR	TOR	TOR	TOR	TOR	TOR
38	TOR	TOR	TOR	TOR	TOR	TOR	TOR
39	TOR	TOR	TOR	TOR	TOR	TOR	TOR

Année	R1	R2	R3	R4	R5	R6	R7
35	TOR	TOR	TOR	TOR	TOR	TOR	TOR
36	TOR	TOR	TOR	TOR	TOR	TOR	TOR
37	TOR	TOR	TOR	TOR	TOR	TOR	TOR
38	TOR	TOR	TOR	TOR	TOR	TOR	TOR
39	TOR	TOR	TOR	TOR	TOR	TOR	TOR