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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	Tomas Hertl	X	X			100.00	69	43	92	89	79	80	95	81	92	85	90	75	36	66	68	85	50	77	0
2	Brayden Schenn	X	X			100.00	80	58	83	85	74	79	94	79	77	86	75	66	43	74	76	78	50	74	0
3	Boone Jenner	X	X			100.00	86	46	84	84	76	75	93	73	96	74	72	84	75	69	70	78	50	73	0
4	David Krejci	X				100.00	61	41	93	80	68	76	90	77	84	92	76	55	58	82	88	75	50	72	0
5	Brendan Gallagher			X		100.00	80	53	82	86	64	74	99	82	41	68	88	62	48	71	73	80	50	72	0
6	Casey Cizikas	X				100.00	83	45	85	81	72	67	86	61	86	64	78	87	75	71	73	77	50	71	0
7	Christian Dvorak	X				100.00	74	43	93	86	69	71	81	72	92	71	65	69	25	61	61	67	50	68	0
8	Sam Bennett	X	X	X		100.00	82	89	65	83	76	65	94	71	57	65	71	60	25	64	65	70	50	67	0
9	Sean Kuraly	X	X			100.00	83	59	84	72	78	67	90	60	84	64	60	83	25	54	55	68	50	66	0
10	Tyler Pitlick			X		100.00	85	45	95	77	75	65	81	66	37	59	70	80	25	57	57	72	50	66	0
11	Noel Acciari	X		X		100.00	96	71	81	70	73	65	83	60	69	60	58	84	25	58	59	68	50	65	0
12	Brett Howden (R)	X	X	X		100.00	75	43	92	72	72	69	55	67	81	71	59	73	25	52	52	66	50	63	0
13	Alex Pietrangelo (A)				X	100.00	73	43	90	85	75	90	92	81	25	69	60	83	25	77	80	73	50	75	0
14	Zdeno Chara (C)				X	100.00	78	78	74	72	98	83	85	61	25	52	49	90	57	98	99	64	50	75	0
15	Mike Matheson				X	100.00	71	43	83	85	72	86	95	64	25	60	51	87	25	60	61	67	50	72	0
16	Patrik Nemeth				X	100.00	84	56	79	71	81	70	88	60	25	51	47	99	25	61	62	65	50	71	0
17	Shea Theodore				X	100.00	61	41	91	84	73	80	91	80	25	66	58	65	75	59	61	68	50	68	0
18	Mark Borowiecki				X	100.00	99	99	55	68	79	68	70	60	25	48	47	88	25	65	66	63	50	68	0
Rayé
1	Jordan Martinook	X	X	X		100.00	89	46	86	82	73	68	99	61	56	61	71	76	25	65	65	73	50	68	0
2	Travis Dermott				X	100.00	81	45	89	79	77	72	67	62	25	55	48	67	25	51	52	61	50	64	0

	MOYENNE D'ÉQUIPE					100.00	80	54	84	80	75	74	86	69	56	66	65	77	38	66	67	71	50	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
1	Frederik Andersen	99.00	86	93	89	92	87	85	64	84	86	86	71	66	68	83	50	80	0
2	James Reimer	100.00	64	70	70	82	68	60	56	65	65	64	82	67	68	64	50	65	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	75	82	80	87	78	73	60	75	76	75	77	67	68	74	50	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Quenneville	45	45	70	75	99	99	72	CAN	57	1	3,000,000$

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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

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#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Casey Cizikas	Maple Leafs	C	8	4	4	8	7	2	9	27	29	11	27	13.79%	0	138	17.34	0	2	2	3	16	1	26	1	55.20%	221	1.15	2	1	0
2	Mike Matheson	Maple Leafs	D	8	1	4	5	1	4	15	15	12	5	8	8.33%	9	177	22.23	1	0	1	7	17	0	20	0	0.00%	0	0.56	0	0	0
3	Sean Kuraly	Maple Leafs	C/LW	8	2	3	5	7	0	8	11	11	1	9	18.18%	0	106	13.29	0	0	0	0	0	0	11	0	50.00%	10	0.94	0	0	0
4	Alex Pietrangelo	Maple Leafs	D	8	0	4	4	-2	6	21	19	16	9	14	0.00%	12	198	24.83	0	1	1	9	22	0	15	0	0.00%	0	0.40	0	0	0
5	Tyler Pitlick	Maple Leafs	RW	8	2	2	4	5	2	9	6	20	2	12	10.00%	1	105	13.19	0	0	0	0	0	0	0	1	83.33%	6	0.76	0	1	0
6	Shea Theodore	Maple Leafs	D	8	1	2	3	-3	0	3	4	8	2	7	12.50%	6	173	21.71	0	0	0	5	21	0	3	0	0.00%	0	0.35	0	0	0
7	Mark Borowiecki	Maple Leafs	D	8	0	3	3	-3	12	24	3	4	1	5	0.00%	4	128	16.01	0	0	0	0	0	0	15	0	0.00%	0	0.47	0	0	0
8	Tomas Hertl	Maple Leafs	C/LW	8	2	1	3	-5	0	5	24	24	12	25	8.33%	1	159	19.93	0	0	0	5	19	0	0	0	60.62%	193	0.38	0	0	1
9	Brayden Schenn	Maple Leafs	C/LW	8	1	1	2	-5	2	18	16	20	9	14	5.00%	0	162	20.32	0	0	0	5	19	0	3	0	50.00%	14	0.25	0	0	0
10	Boone Jenner	Maple Leafs	C/LW	8	2	0	2	-3	0	10	21	28	9	22	7.14%	2	143	18.00	1	0	1	5	17	0	11	0	45.00%	20	0.28	1	0	0
11	Zdeno Chara	Maple Leafs	D	6	0	1	1	2	4	17	3	7	3	5	0.00%	9	108	18.08	0	0	0	3	10	0	11	0	0.00%	0	0.18	0	0	0
12	Brendan Gallagher	Maple Leafs	RW	8	0	1	1	-6	4	16	8	24	9	21	0.00%	0	147	18.44	0	1	1	4	15	0	0	0	42.86%	14	0.14	0	0	0
13	Patrik Nemeth	Maple Leafs	D	8	0	1	1	-3	0	3	3	6	0	4	0.00%	11	132	16.55	0	0	0	0	0	1	21	0	0.00%	0	0.15	0	0	0
14	Noel Acciari	Maple Leafs	C/RW	8	0	0	0	-3	2	7	7	7	1	3	0.00%	1	65	8.17	0	0	0	0	1	0	17	0	40.00%	15	0.00	0	0	0
15	Christian Dvorak	Maple Leafs	C	8	0	0	0	-3	0	1	10	7	3	11	0.00%	0	47	5.88	0	0	0	0	0	0	0	0	66.10%	59	0.00	0	0	0
16	David Krejci	Maple Leafs	C	8	0	0	0	-3	0	2	14	22	4	11	0.00%	2	135	16.99	0	0	0	1	19	0	0	0	58.91%	202	0.00	0	0	0
17	Travis Dermott	Maple Leafs	D	2	0	0	0	0	2	5	0	1	0	0	0.00%	0	39	19.84	0	0	0	0	2	0	2	0	0.00%	0	0.00	0	0	0
18	Jordan Martinook	Maple Leafs	C/LW/RW	8	0	0	0	-3	2	0	2	7	3	3	0.00%	0	46	5.78	0	0	0	0	0	0	0	0	0.00%	1	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				136	15	27	42	-20	42	173	193	253	84	201	5.93%	58	2217	16.30	2	4	6	47	184	2	162	2	57.62%	755	0.38	3	2	1

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	PIM	SO	GA	SA	ST	BG	S1	S3
1	Frederik Andersen	Maple Leafs	7	2	5	0.918	2.72	419	2	1	19	231	7	1	1	1
2	James Reimer	Maple Leafs	1	0	1	0.882	4.00	60	0	0	4	34	1	7	0	0
Stats d'équipe Total ou en Moyenne			8	2	6	0.913	2.88	479	2	1	23	265	8	8	1	1

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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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Alex Pietrangelo	Maple Leafs	D	29	1990-01-18	No	210 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	8,250,000$	8,250,000$	7,495,968$	No	Lien
Boone Jenner	Maple Leafs	C/LW	26	1993-06-14	No	206 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	3,750,000$	3,750,000$	3,407,258$	No	Lien
Brayden Schenn	Maple Leafs	C/LW	28	1991-08-21	No	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	5,451,613$	No	Lien
Brendan Gallagher	Maple Leafs	RW	27	1992-05-05	No	181 Lbs	5 ft9	No	No	No	5	Avec Restriction	Pro & Farm	5,100,000$	5,100,000$	4,633,871$	No	Lien
Brett Howden	Maple Leafs	C/LW/RW	21	1998-03-29	Yes	193 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	863,333$	863,333$	784,426$	No	Lien
Casey Cizikas	Maple Leafs	C	28	1991-02-27	No	200 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	3,300,000$	3,300,000$	2,998,387$	No	Lien
Christian Dvorak	Maple Leafs	C	23	1996-02-02	No	195 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,106,667$	1,106,667$	1,005,520$	No	Lien
David Krejci	Maple Leafs	C	33	1986-04-28	No	188 Lbs	6 ft0	Yes	No	No	3	Sans Restriction	Pro & Farm	6,750,000$	6,750,000$	6,133,065$	No	Lien
Frederik Andersen	Maple Leafs	G	30	1989-10-02	No	230 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,543,011$	No	Lien
James Reimer	Maple Leafs	G	31	1988-03-15	No	217 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,180,108$	No	Lien
Jordan Martinook	Maple Leafs	C/LW/RW	27	1992-07-24	No	204 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	1,817,204$	No	Lien
Mark Borowiecki	Maple Leafs	D	30	1989-07-12	No	207 Lbs	6 ft1	Yes	No	No	2	Sans Restriction	Pro & Farm	1,850,000$	1,850,000$	1,680,914$	No	Lien
Mike Matheson	Maple Leafs	D	25	1994-02-27	No	192 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	925,000$	840,457$	No	Lien
Noel Acciari	Maple Leafs	C/RW	27	1992-03-31	No	208 Lbs	5 ft10	No	No	No	3	Avec Restriction	Pro & Farm	1,666,667$	1,666,667$	1,514,337$	No	Lien
Patrik Nemeth	Maple Leafs	D	27	1992-02-07	No	219 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	2,725,806$	No	Lien
Sam Bennett	Maple Leafs	C/LW/RW	23	1996-06-19	No	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,700,000$	1,700,000$	1,544,624$	No	Lien
Sean Kuraly	Maple Leafs	C/LW	26	1993-01-20	No	213 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	925,000$	840,457$	No	Lien
Shea Theodore	Maple Leafs	D	24	1995-08-03	No	195 Lbs	6 ft2	No	No	No	5	Avec Restriction	Pro & Farm	5,200,000$	5,200,000$	4,724,731$	No	Lien
Tomas Hertl	Maple Leafs	C/LW	25	1993-11-12	No	215 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	4,997,312$	No	Lien
Travis Dermott	Maple Leafs	D	22	1996-12-21	No	215 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	863,333$	863,333$	784,426$	No	Lien
Tyler Pitlick	Maple Leafs	RW	28	1991-10-31	No	200 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	1,135,753$	No	Lien
Zdeno Chara	Maple Leafs	D	42	1977-03-18	No	250 Lbs	6 ft11	No	No	No	1	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	6,360,215$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.36	206 Lbs	6 ft1	2.27	3,431,818$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
75,500,000$	56,593,333$	34,880,000$	18,550,000$	10,300,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brayden Schenn	Tomas Hertl	Brendan Gallagher	35	1	2	2
2	Boone Jenner	David Krejci	Sam Bennett	30	1	2	2
3	Sean Kuraly	Casey Cizikas	Tyler Pitlick	25	1	2	2
4	Brett Howden	Christian Dvorak	Noel Acciari	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Shea Theodore	40	1	2	2
2	Zdeno Chara	Mike Matheson	35	1	2	2
3	Patrik Nemeth	Mark Borowiecki	25	2	2	1
4	Alex Pietrangelo	Shea Theodore	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brayden Schenn	David Krejci	Tomas Hertl	65	0	1	4
2	Boone Jenner	Casey Cizikas	Brendan Gallagher	35	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Shea Theodore	60	0	2	3
2	Zdeno Chara	Mike Matheson	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Casey Cizikas	Tomas Hertl	60	0	4	1
2	Boone Jenner	Noel Acciari	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mike Matheson	Zdeno Chara	60	0	4	1
2	Mark Borowiecki	Patrik Nemeth	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Cizikas	60	0	5	0	Mike Matheson	Zdeno Chara	60	0	5	0
2	Boone Jenner	40	0	5	0	Mark Borowiecki	Patrik Nemeth	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tomas Hertl	Brayden Schenn	60	1	2	2
2	David Krejci	Brendan Gallagher	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Shea Theodore	60	0	4	1
2	Zdeno Chara	Mike Matheson	40	0	4	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brayden Schenn	David Krejci	Tomas Hertl	Alex Pietrangelo	Shea Theodore

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Boone Jenner	Casey Cizikas	Tomas Hertl	Alex Pietrangelo	Zdeno Chara

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Boone Jenner, Tomas Hertl, Casey Cizikas	Tomas Hertl, Brayden Schenn	Casey Cizikas

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zdeno Chara, Alex Pietrangelo, Mike Matheson	Alex Pietrangelo	Mike Matheson, Alex Pietrangelo

Tirs de Pénalité
Tomas Hertl, Brayden Schenn, Boone Jenner, Casey Cizikas, Shea Theodore

Gardien
#1 : Frederik Andersen, #2 : James Reimer

Lignes d'Attaque Perso. en Prol.
Boone Jenner, Casey Cizikas, Tomas Hertl, Brayden Schenn, Brendan Gallagher, David Krejci, David Krejci, , Christian Dvorak, Tyler Pitlick, Noel Acciari

Lignes de Défense Perso. en Prol.
Alex Pietrangelo, Zdeno Chara, Mike Matheson, Shea Theodore, Patrik Nemeth

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
1	Blue Jackets	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	0	2	2	0	40	7	17	16	0	24	10	8	25	1	0	0.00%	3	0	100.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	27	18	20	7	12	6
2	Blues	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	0	1	0	34	17	14	3	0	34	4	6	18	4	1	25.00%	3	1	66.67%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	25	18	21	7	12	6
3	Canadiens	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	25	4	6	15	0	32	5	10	40	2	0	0.00%	4	0	100.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	22	15	24	7	12	6
4	Capitals	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	0	1	0	34	10	7	17	0	36	11	6	16	3	0	0.00%	3	1	66.67%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	23	16	24	7	12	6
5	Lightning	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	31	13	5	13	0	39	9	8	19	1	0	0.00%	4	0	100.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	23	15	23	6	13	6
6	Red Wings	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	34	8	13	13	0	41	2	10	28	2	0	0.00%	5	1	80.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	26	18	21	7	11	5
7	Senators	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	1	1	0	0	43	16	18	9	0	20	7	0	30	7	1	14.29%	0	0	0.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	30	22	15	6	13	7
	Total	8	2	6	0	0	0	0	0	16	23	-7	5	1	4	0	0	0	0	0	10	15	-5	3	1	2	0	0	0	0	0	6	8	-2	4	0.250	16	28	44	0	1	5	4	7	0	268	84	84	100	0	265	62	56	195	21	2	9.52%	26	5	80.77%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	203	141	175	56	100	51
9	Wild	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	0	2	0	27	9	4	14	0	39	14	8	19	1	0	0.00%	4	2	50.00%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	23	14	23	7	13	6
	_Since Last GM Reset	8	2	6	0	0	0	0	0	16	23	-7	5	1	4	0	0	0	0	0	10	15	-5	3	1	2	0	0	0	0	0	6	8	-2	4	0.250	16	28	44	0	1	5	4	7	0	268	84	84	100	0	265	62	56	195	21	2	9.52%	26	5	80.77%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	203	141	175	56	100	51
	_Vs Conference	6	2	4	0	0	0	0	0	11	13	-2	3	1	2	0	0	0	0	0	5	5	0	3	1	2	0	0	0	0	0	6	8	-2	4	0.333	11	19	30	0	1	3	4	4	0	207	58	66	83	0	192	44	42	158	16	1	6.25%	19	2	89.47%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	154	107	130	42	74	38
	_Vs Division	4	1	3	0	0	0	0	0	6	8	-2	3	1	2	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	2	0.250	6	11	17	0	1	3	2	1	0	133	41	42	50	0	132	23	28	117	12	1	8.33%	13	1	92.31%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	103	72	85	27	50	25

			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
8	4	L6	16	28	44	268	265	62	56	195	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	16	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	10	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	6	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
21	2	9.52%	26	5	80.77%	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
84	84	100	0	5	4	7	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
201	338	59.47%	166	316	52.53%	72	114	63.16%

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
203	141	175	56	100	51

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	Lien
1 - 2019-10-04	3	Senators	0	Maple Leafs	2	W	Sommaire du Match
3 - 2019-10-06	13	Maple Leafs	4	Blue Jackets	2	W	Sommaire du Match
4 - 2019-10-07	29	Canadiens	3	Maple Leafs	2	L	Sommaire du Match
6 - 2019-10-09	35	Blues	4	Maple Leafs	3	L	Sommaire du Match
9 - 2019-10-12	56	Lightning	2	Maple Leafs	1	L	Sommaire du Match
11 - 2019-10-14	66	Maple Leafs	1	Red Wings	3	L	Sommaire du Match
14 - 2019-10-17	88	Wild	6	Maple Leafs	2	L	Sommaire du Match
15 - 2019-10-18	97	Maple Leafs	1	Capitals	3	L	Sommaire du Match
18 - 2019-10-21	123	Bruins	-	Maple Leafs	-
20 - 2019-10-23	132	Blue Jackets	-	Maple Leafs	-
21 - 2019-10-24	133	Maple Leafs	-	Bruins	-
24 - 2019-10-27	158	Sharks	-	Maple Leafs	-
25 - 2019-10-28	166	Maple Leafs	-	Canadiens	-
28 - 2019-10-31	187	Capitals	-	Maple Leafs	-
32 - 2019-11-04	214	Maple Leafs	-	Flyers	-
35 - 2019-11-07	232	Kings	-	Maple Leafs	-
37 - 2019-11-09	247	Golden Knights	-	Maple Leafs	-
39 - 2019-11-11	261	Flyers	-	Maple Leafs	-
40 - 2019-11-12	265	Maple Leafs	-	Blackhawks	-
43 - 2019-11-15	283	Maple Leafs	-	Islanders	-
45 - 2019-11-17	297	Bruins	-	Maple Leafs	-
46 - 2019-11-18	309	Maple Leafs	-	Penguins	-
49 - 2019-11-21	330	Maple Leafs	-	Golden Knights	-
51 - 2019-11-23	333	Maple Leafs	-	Coyotes	-
53 - 2019-11-25	350	Maple Leafs	-	Avalanche	-
57 - 2019-11-29	381	Maple Leafs	-	Red Wings	-
59 - 2019-12-01	393	Maple Leafs	-	Sabres	-
60 - 2019-12-02	415	Sabres	-	Maple Leafs	-
63 - 2019-12-05	430	Maple Leafs	-	Flyers	-
64 - 2019-12-06	437	Avalanche	-	Maple Leafs	-
67 - 2019-12-09	460	Maple Leafs	-	Blues	-
70 - 2019-12-12	481	Maple Leafs	-	Canucks	-
72 - 2019-12-14	490	Maple Leafs	-	Flames	-
74 - 2019-12-16	504	Maple Leafs	-	Oilers	-
77 - 2019-12-19	531	Sabres	-	Maple Leafs	-
80 - 2019-12-22	551	Maple Leafs	-	Rangers	-
81 - 2019-12-23	562	Red Wings	-	Maple Leafs	-
83 - 2019-12-25	578	Hurricanes	-	Maple Leafs	-
87 - 2019-12-29	587	Maple Leafs	-	Devils	-
88 - 2019-12-30	599	Rangers	-	Maple Leafs	-
91 - 2020-01-02	622	Maple Leafs	-	Wild	-
93 - 2020-01-04	638	Maple Leafs	-	Jets	-
95 - 2020-01-06	650	Islanders	-	Maple Leafs	-
97 - 2020-01-08	662	Oilers	-	Maple Leafs	-
99 - 2020-01-10	677	Jets	-	Maple Leafs	-
103 - 2020-01-14	705	Maple Leafs	-	Panthers	-
105 - 2020-01-16	723	Devils	-	Maple Leafs	-
107 - 2020-01-18	737	Flames	-	Maple Leafs	-
109 - 2020-01-20	753	Blackhawks	-	Maple Leafs	-
118 - 2020-01-29	770	Maple Leafs	-	Predators	-
120 - 2020-01-31	777	Maple Leafs	-	Stars	-
123 - 2020-02-03	804	Senators	-	Maple Leafs	-
125 - 2020-02-05	811	Panthers	-	Maple Leafs	-
127 - 2020-02-07	826	Maple Leafs	-	Rangers	-
129 - 2020-02-09	842	Ducks	-	Maple Leafs	-
130 - 2020-02-10	847	Maple Leafs	-	Canadiens	-
133 - 2020-02-13	875	Coyotes	-	Maple Leafs	-
135 - 2020-02-15	889	Stars	-	Maple Leafs	-
137 - 2020-02-17	902	Maple Leafs	-	Senators	-
138 - 2020-02-18	906	Maple Leafs	-	Sabres	-
140 - 2020-02-20	924	Maple Leafs	-	Penguins	-
142 - 2020-02-22	938	Penguins	-	Maple Leafs	-
144 - 2020-02-24	956	Hurricanes	-	Maple Leafs	-
147 - 2020-02-27	979	Maple Leafs	-	Lightning	-
149 - 2020-02-29	986	Maple Leafs	-	Panthers	-
151 - 2020-03-02	1010	Canucks	-	Maple Leafs	-
154 - 2020-03-05	1025	Maple Leafs	-	Sharks	-
156 - 2020-03-07	1036	Maple Leafs	-	Kings	-
157 - 2020-03-08	1043	Maple Leafs	-	Ducks	-
161 - 2020-03-12	1077	Lightning	-	Maple Leafs	-
163 - 2020-03-14	1091	Predators	-	Maple Leafs	-
165 - 2020-03-16	1099	Maple Leafs	-	Bruins	-
168 - 2020-03-19	1129	Devils	-	Maple Leafs	-
170 - 2020-03-21	1145	Islanders	-	Maple Leafs	-
172 - 2020-03-23	1162	Blue Jackets	-	Maple Leafs	-
174 - 2020-03-25	1174	Panthers	-	Maple Leafs	-
176 - 2020-03-27	1188	Maple Leafs	-	Lightning	-
177 - 2020-03-28	1192	Maple Leafs	-	Hurricanes	-
179 - 2020-03-30	1213	Maple Leafs	-	Senators	-
182 - 2020-04-02	1238	Maple Leafs	-	Capitals	-
184 - 2020-04-04	1253	Red Wings	-	Maple Leafs	-
186 - 2020-04-06	1270	Canadiens	-	Maple Leafs	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	4000	3000	1000
Prix des Billets	166	136	116	65	250
Assistance	28,362	18,921	14,652	14,301	4,665
Attendance PCT	94.54%	75.68%	73.26%	95.34%	93.30%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
36	16180 - 85.16%	2,215,359$	11,076,795$	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
6,840,454$	75,500,000$	75,500,000$	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
405,914$	6,566,261$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
79,752,924$	169	422,043$	71,325,267$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
72,800,975$	75,165,727$	139,376,883$	148,251,592$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Tomas Hertl	AGE:25	PO:85	OV:77
Brayden Schenn	AGE:28	PO:78	OV:74
Boone Jenner	AGE:26	PO:78	OV:73
Jordan Martinook	AGE:27	PO:73	OV:68
Sam Bennett	AGE:23	PO:70	OV:67
Sean Kuraly	AGE:26	PO:68	OV:66
*Brett Howden	AGE:21	PO:66	OV:63
*Lukas Radil	AGE:29	PO:66	OV:60
Henrik Samuelsson	AGE:25	PO:55	OV:57

Tomas Hertl	AGE:25	PO:85	OV:77
Brayden Schenn	AGE:28	PO:78	OV:74
Boone Jenner	AGE:26	PO:78	OV:73
David Krejci	AGE:33	PO:75	OV:72
Casey Cizikas	AGE:28	PO:77	OV:71
Jordan Martinook	AGE:27	PO:73	OV:68
Christian Dvorak	AGE:23	PO:67	OV:68
Sam Bennett	AGE:23	PO:70	OV:67
Sean Kuraly	AGE:26	PO:68	OV:66
Noel Acciari	AGE:27	PO:68	OV:65
*Brett Howden	AGE:21	PO:66	OV:63
*Steven Lorentz	AGE:23	PO:55	OV:56

Brendan Gallagher	AGE:27	PO:80	OV:72
Jordan Martinook	AGE:27	PO:73	OV:68
Sam Bennett	AGE:23	PO:70	OV:67
Tyler Pitlick	AGE:28	PO:72	OV:66
Noel Acciari	AGE:27	PO:68	OV:65
*Jeremy Bracco	AGE:22	PO:67	OV:65
*Brett Howden	AGE:21	PO:66	OV:63
Jimmy Hayes	AGE:29	PO:64	OV:63
*Lukas Radil	AGE:29	PO:66	OV:60
Henrik Samuelsson	AGE:25	PO:55	OV:57
*Spencer Smallman	AGE:23	PO:55	OV:55

Défense #1

Défense #2

Gardien

Alex Pietrangelo	AGE:29	PO:73	OV:75
Zdeno Chara	AGE:42	PO:64	OV:75
Mike Matheson	AGE:25	PO:67	OV:72
Patrik Nemeth	AGE:27	PO:65	OV:71
Shea Theodore	AGE:24	PO:68	OV:68

Mark Borowiecki	AGE:30	PO:63	OV:68
Travis Dermott	AGE:22	PO:61	OV:64
Cody Goloubef	AGE:29	PO:57	OV:61
Ryan Stanton	AGE:30	PO:53	OV:60

Frederik Andersen	AGE:30	PO:83	OV:80
James Reimer	AGE:31	PO:64	OV:65
*Dylan Wells	AGE:21	PO:58	OV:58
Jared Coreau	AGE:28	PO:54	OV:58
Zachary Fucale	AGE:24	PO:57	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
Akira Schmid	Maple Leafs	2018	133
Alex Vlasic	Maple Leafs	2019	52
Brandon Crawley	Maple Leafs	2017	158
Brendan De Jong	Maple Leafs	2017	187
Brendan Warren	Maple Leafs	2015	126
Carter Gylander	Maple Leafs	2019	206
Cedric Pare	Maple Leafs	2017	203
Cody Glass	Maple Leafs	2017	4
Conor Timmins	Maple Leafs	2017	34
Curtis Douglas	Maple Leafs	2018	115
Gustav Berglund	Maple Leafs	2019	211
Ilya Nikolaev	Maple Leafs	2019	63
Jack McBain	Maple Leafs	2018	59
Jack Rathbone	Maple Leafs	2017	132
Jack Studnicka	Maple Leafs	2017	67
Jake Marchment	Maple Leafs	2014	177
Jeremy Davies	Maple Leafs	2016	168
Jeremy Swayman	Maple Leafs	2017	138
Jiri Patera	Maple Leafs	2017	183
Joe Cecconi	Maple Leafs	2015	177
Jonathan Davidsson	Maple Leafs	2017	196
Jonathan Walker	Maple Leafs	2016	157
Josh Nodler	Maple Leafs	2019	175
Keaton Middleton	Maple Leafs	2016	138
Konstantin Volkov	Maple Leafs	2016	176
Layton Ahac	Maple Leafs	2019	82
Liam Gorman	Maple Leafs	2018	192
Marcus Davidsson	Maple Leafs	2017	47
Matt Brassard	Maple Leafs	2017	211
Mike Koster	Maple Leafs	2019	169
Nick Campoli	Maple Leafs	2017	186
Nick Leivermann	Maple Leafs	2017	207
Oleg Sosunov	Maple Leafs	2016	165
Olivier Rodrigue	Maple Leafs	2018	71
Ryder Donovan	Maple Leafs	2019	103
Samuel Walker	Maple Leafs	2017	212
Santtu Kinnunen	Maple Leafs	2018	209
Sean Day	Maple Leafs	2016	73
Sebastian Walfridsson	Maple Leafs	2017	180
Simon Kjellberg	Maple Leafs	2018	185
Stepan Falkovsky	Maple Leafs	2016	169
Thomas Harley	Maple Leafs	2019	21
Vladislav Kolyachonok	Maple Leafs	2019	48

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2020	TOR	TOR	TOR	CHI TOR	FLA	PHL DET TOR	PHL
2021	TOR	TOR	TOR	TOR	TOR	TOR	OTT
2022	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2023	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2024	TOR	TOR	TOR	TOR	TOR	TOR	TOR

[2019-11-07 4:48:36 PM] - TRADE : From Maple Leafs to Ducks : Zach Aston-Reese (66).
[2019-11-07 4:48:36 PM] - TRADE : From Ducks to Maple Leafs : Sam Bennett (68).
[2019-11-04 5:21:29 PM] - Tate Olson has been deleted from Maple Leafs.
[2019-10-16 4:34:50 PM] - Team Name Change : Toronto Maple Leafs changed name to Maple Leafs
[2019-10-10 3:58:59 PM] - TRADE : From Detroit Red Wings to Toronto Maple Leafs : James Reimer (65), Y:2020-RND:6-DET.
[2019-10-10 3:58:59 PM] - TRADE : From Toronto Maple Leafs to Detroit Red Wings : Aaron Dell (57), Y:2020-RND:7-TOR.
[2019-10-05 2:17:40 PM] - Toronto Maple Leafs drafts Gustav Berglund as the #211 overall pick in the Entry Draft of year 2019.
[2019-10-04 10:13:46 PM] - Jared Coreau signed with Toronto Maple Leafs for $700,000 for 3 year(s).
[2019-10-04 10:13:46 PM] - Jared Coreau was added to Toronto Maple Leafs.
[2019-09-21 8:34:44 PM] - David Krejci signed with Toronto Maple Leafs for $6,750,000 for 3 year(s) / Option : No Trade & Signing Bonus of $5,062,500.
[2019-09-21 8:34:44 PM] - David Krejci was added to Toronto Maple Leafs.
[2019-09-14 9:10:20 AM] - Mark Borowiecki signed with Toronto Maple Leafs for $1,850,000 for 2 year(s) / Option : No Trade & Signing Bonus of $800,000.
[2019-09-14 9:10:20 AM] - Mark Borowiecki was added to Toronto Maple Leafs.
[2019-09-13 8:14:10 PM] - Stephen Gionta was released by Toronto Maple Leafs
[2019-09-12 7:38:37 PM] - Emil Johansson was released by Toronto Maple Leafs
[2019-09-07 7:44:18 PM] - Ben Lovejoy was released by Toronto Maple Leafs
[2019-08-15 5:34:25 PM] - Lukas Radil was added to Toronto Maple Leafs.
[2019-08-07 8:30:23 PM] - Toronto Maple Leafs drafts Carter Gylander as the #206 overall pick in the Entry Draft of year 2019.
[2019-08-04 9:53:00 PM] - Toronto Maple Leafs drafts Josh Nodler as the #175 overall pick in the Entry Draft of year 2019.
[2019-08-03 10:39:20 AM] - Toronto Maple Leafs drafts Mike Koster as the #169 overall pick in the Entry Draft of year 2019.
[2019-07-31 8:32:23 PM] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Y:2020-RND:6-PHL.
[2019-07-31 8:32:23 PM] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Y:2019-RND:7-FLA.

[2019-11-07 4:48:59 PM] Sam Bennett of Maple Leafs was sent to pro.
[2019-11-07 4:48:36 PM] TRADE : From Maple Leafs to Ducks : Zach Aston-Reese (66).
[2019-11-07 4:48:36 PM] TRADE : From Ducks to Maple Leafs : Sam Bennett (68).
[2019-11-07 4:44:41 PM] Auto Lines Partial Function has been run for Maple Leafs.
[2019-11-05 4:50:28 PM] Marlies lines for next game are empty. Current rosters/lines are not erased. But, Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-04 5:24:41 PM] Marlies lines for next game are empty. Current rosters/lines are not erased. But, Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-04 5:24:40 PM] Lukas Radil from Marlies has scored a Hat Trick!
[2019-11-04 5:21:29 PM] Tate Olson has been deleted from Maple Leafs.
[2019-11-03 4:11:10 PM] Auto Lines Partial Function has been run for Maple Leafs.
[2019-11-02 5:12:52 PM] Zdeno Chara from Maple Leafs is back from Bruised Left Shoulder Injury.
[2019-11-01 4:07:37 PM] Marlies lines for next game are empty. Current rosters/lines are not erased. But, Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-01 4:07:35 PM] Jimmy Hayes from Marlies has scored a Hat Trick!
[2019-10-30 4:47:32 PM] Marlies lines for next game are empty. Current rosters/lines are not erased. But, Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-29 4:36:46 PM] Maple Leafs roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-10-28 4:16:20 PM] Last 7 Days Pro Star : 1 - Filip Forsberg of Sharks (4-1-5) / 2 - Casey Cizikas of Maple Leafs (3-4-7) / 3 - Evgeny Kuznetsov of Sharks (2-5-7)
[2019-10-27 8:41:07 PM] Spencer Smallman from Marlies has scored a Hat Trick!
[2019-10-27 8:41:07 PM] Game 35 - Zdeno Chara from Maple Leafs is injured (Bruised Left Shoulder) and is out for 2 weeks.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

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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
2019	8	2	6	0	0	0	0	0	16	23	-7	5	1	4	0	0	0	0	0	10	15	-5	3	1	2	0	0	0	0	0	6	8	-2	4	16	28	44	0	1	5	4	7	0	268	84	84	100	0	265	62	56	195	21	2	9.52%	26	5	80.77%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	203	141	175	56	100	51
Total Saison Régulière	8	2	6	0	0	0	0	0	16	23	-7	5	1	4	0	0	0	0	0	10	15	-5	3	1	2	0	0	0	0	0	6	8	-2	4	16	28	44	0	1	5	4	7	0	268	84	84	100	0	265	62	56	195	21	2	9.52%	26	5	80.77%	0	201	338	59.47%	166	316	52.53%	72	114	63.16%	203	141	175	56	100	51