Profi League - Maple Leafs

Marlies
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Patrick Kane	X		X		100.00	57	30	94	91	87	96	98	95	41	61	58	61	73	91	91	0	41	76	0
2	Aleksander Barkov	X				100.00	59	30	97	81	87	92	82	88	84	54	54	70	87	71	71	0	41	72	0
3	Blake Comeau		X	X		100.00	73	33	89	71	79	82	95	80	72	44	43	72	61	87	87	0	41	69	0
4	Nikolaj Ehlers (R)		X	X		100.00	59	33	94	80	80	87	96	87	32	53	52	60	59	64	64	0	41	68	0
5	Anthony Mantha (R)		X	X		100.00	60	48	91	70	81	81	72	79	53	46	50	61	58	58	58	0	54	63	0
6	Ryan Dzingel	X	X	X		100.00	65	33	95	70	76	79	85	78	51	45	46	62	57	60	60	0	41	63	0
7	Andreas Martinsen		X	X		100.00	83	46	92	64	75	71	81	72	55	40	40	67	56	61	61	0	29	62	0
8	Nic Dowd	X				100.00	75	35	93	64	73	76	81	71	72	45	42	60	57	58	58	0	41	62	0
9	Jordan Schroeder	X		X		100.00	61	30	98	66	72	71	60	74	55	43	43	58	58	63	63	0	41	59	0
10	Colin McDonald			X		100.00	65	35	94	61	73	70	56	65	35	32	36	59	57	63	63	0	26	55	0
11	Chris DeSousa	X				100.00	60	67	45	66	67	62	67	47	59	20	26	53	46	44	44	0	37	47	0
12	Mark Giordano				X	100.00	72	34	90	88	87	91	97	90	34	50	46	83	61	89	99	0	41	78	0
13	Sami Vatanen				X	100.00	73	30	94	80	80	88	88	84	34	49	41	79	59	72	72	0	41	72	0
14	Justin Braun				X	100.00	78	30	94	73	79	88	97	78	34	42	40	80	58	80	80	0	31	71	0
15	Damon Severson (R)				X	100.00	72	37	91	76	81	87	93	82	34	49	39	73	58	67	67	0	31	70	0
16	Anthony DeAngelo (R)				X	100.00	68	30	87	79	81	85	62	87	30	44	42	71	81	55	55	0	34	67	0
17	Ben Chiarot				X	100.00	75	34	92	71	79	82	80	76	33	42	39	76	57	65	65	0	19	67	0
18	Ben Harpur (R)				X	100.00	70	30	98	52	68	83	55	60	32	35	35	65	54	55	55	0	20	57	0
19	Ethan Prow (R)				X	100.00	74	68	87	62	68	63	67	49	25	30	20	60	37	44	44	0	14	53	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	68	38	90	72	78	81	80	76	46	43	42	67	60	66	66	0	35	65

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Ben Bishop	100.00	75	96	86	94	71	74	74	73	75	73	88	81	81	0	41	78	0
2	Daniel Vladar (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	0	20	55	0
Rayé
1	Matt Hackett	100.00	49	48	60	66	49	55	50	54	55	54	30	46	46	0	15	51	0

	MOYENNE D'ÉQUIPE	100.00	60	66	67	72	58	61	60	61	62	61	58	61	61	0	25	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	76	83	89	84	75	74	72	CAN	49	3	1,000,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Aleksander Barkov	Maple Leafs	C	22	02.09.1995 16:26:23	No	213 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	6,300,000$	6,300,000$	6,300,000$	6,300,000$
Andreas Martinsen	Maple Leafs	LW/RW	27	12.06.1990	No	220 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro Only	600,000$
Anthony DeAngelo	Maple Leafs	D	22	24.10.1995	Yes	183 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,400,000$	1,400,000$	1,400,000$
Anthony Mantha	Maple Leafs	LW/RW	23	16.09.1994 14:57:16	Yes	221 Lbs	6 ft5	No	No	No	2	Avec Restriction	Pro & Farm	1,100,000$	1,100,000$
Ben Bishop	Maple Leafs	C/RW	31	21.11.1986	No	214 Lbs	6 ft7	Yes	No	No	3	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$
Ben Chiarot	Maple Leafs	D	26	09.05.1992 17:34:31	No	219 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro Only	1,200,000$	1,200,000$
Ben Harpur	Maple Leafs	D	23	12.01.1995 15:44:24	Yes	222 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	1,100,000$	1,100,000$
Blake Comeau	Maple Leafs	LW/RW	32	18.02.1986	No	202 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	2,400,000$	2,400,000$
Chris DeSousa	Maple Leafs	C	27	19.10.1990	No	190 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	600,000$				Lien
Colin McDonald	Maple Leafs	RW	33	30.09.1984	No	219 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	600,000$
Damon Severson	Maple Leafs	D	23	07.08.1994 1:31:41	Yes	205 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,300,000$
Daniel Vladar	Maple Leafs	LW	20	20.08.1997 13:59:30	Yes	187 Lbs	6 ft5	No	No	No	4	Contrat d'Entrée	Pro & Farm	100,000$	100,000$	100,000$	100,000$
Ethan Prow	Maple Leafs	D	25	17.11.1992 12:31:13	Yes	185 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	100,000$	100,000$	100,000$	100,000$	Lien
Jordan Schroeder	Maple Leafs	C/RW	27	29.09.1990	No	184 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	1,300,000$
Justin Braun	Maple Leafs	D	31	10.02.1987	No	205 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	3,600,000$	3,600,000$
Mark Giordano	Maple Leafs	D	34	03.10.1983	No	198 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	6,500,000$	6,500,000$	6,500,000$
Matt Hackett	Maple Leafs	D	28	07.03.1990	No	171 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$			Lien
Nic Dowd	Maple Leafs	C	27	27.05.1990	No	196 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro Only	900,000$	900,000$
Nikolaj Ehlers	Maple Leafs	LW/RW	22	14.02.1996 14:55:11	Yes	172 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,700,000$	1,700,000$
Patrick Kane	Maple Leafs	C/RW	29	19.11.1988	No	177 Lbs	5 ft11	Yes	No	No	2	Sans Restriction	Pro & Farm	10,000,000$	10,000,000$
Ryan Dzingel	Maple Leafs	C/LW/RW	26	09.03.1992	No	187 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$
Sami Vatanen	Maple Leafs	D	26	03.06.1991 2:49:08	No	183 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	3,800,000$	3,800,000$	3,800,000$	3,800,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	26.55	198 Lbs	6 ft2	2.27	2,418,182$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
53,200,000$	48,800,000$	24,200,000$	10,300,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anthony Mantha	Aleksander Barkov	Patrick Kane	40	0	2	3
2	Blake Comeau	Chris DeSousa	Nikolaj Ehlers	30	0	2	3
3	Ryan Dzingel	Andreas Martinsen	Colin McDonald	20	1	2	2
4	Patrick Kane	Nic Dowd	Jordan Schroeder	10	1	3	1

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Nikolaj Ehlers	Aleksander Barkov	Patrick Kane	60	0	0	5
2	Anthony Mantha	Patrick Kane	Nikolaj Ehlers	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Anthony DeAngelo	60	0	1	4
2	Sami Vatanen	Justin Braun	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Aleksander Barkov	Nikolaj Ehlers	60	1	3	1
2	Nic Dowd	Blake Comeau	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Giordano	Anthony DeAngelo	60	1	3	1
2	Sami Vatanen	Justin Braun	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Aleksander Barkov	60	1	3	1	Mark Giordano	Ben Chiarot	60	1	4	0
2	Nic Dowd	40	1	3	1	Sami Vatanen	Justin Braun	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Aleksander Barkov	Patrick Kane	60	0	1	4
2	Nic Dowd	Blake Comeau	40	0	1	4

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anthony Mantha	Aleksander Barkov	Patrick Kane	Mark Giordano	Sami Vatanen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Dzingel	Nic Dowd	Blake Comeau	Mark Giordano	Sami Vatanen

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Patrick Kane, Aleksander Barkov, Blake Comeau	Patrick Kane, Blake Comeau	Blake Comeau

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mark Giordano, Justin Braun, Sami Vatanen	Mark Giordano	Mark Giordano, Sami Vatanen

Tirs de Pénalité
Patrick Kane, Chris DeSousa, Aleksander Barkov, Blake Comeau, Anthony Mantha

Gardien
#1 : Ben Bishop, #2 : Daniel Vladar

Lignes d'Attaque Perso. en Prol.
Patrick Kane, Jordan Schroeder, Aleksander Barkov, Blake Comeau, Nikolaj Ehlers, Andreas Martinsen, Andreas Martinsen, Anthony Mantha, Ryan Dzingel, Nic Dowd, Chris DeSousa

Lignes de Défense Perso. en Prol.
Mark Giordano, Anthony DeAngelo, Sami Vatanen, Justin Braun, Damon Severson

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	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	GF%	SH%	SV%	PDO	PDOBRK
	Total	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

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	Matchup			Result	Detail

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	0.00%	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
41	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
53,200,000$	11,340,000$	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$	16,224,872$	16,224,872$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Blake Comeau	AGE:32	PO:0	OV:69
*Nikolaj Ehlers	AGE:22	PO:0	OV:68
*Anthony Mantha	AGE:23	PO:0	OV:63
Ryan Dzingel	AGE:26	PO:0	OV:63
Andreas Martinsen	AGE:27	PO:0	OV:62
Chad Nehring	AGE:30	PO:0	OV:55
Cole Ully	AGE:23	PO:0	OV:53
Garrett Thompson	AGE:28	PO:0	OV:53
Mark McNeill	AGE:25	PO:0	OV:53
Matt Mangene	AGE:29	PO:0	OV:53
Marc Hagel	AGE:29	PO:0	OV:51
Austin Fyten	AGE:27	PO:0	OV:50
Alex Krushelnyski	AGE:27	PO:0	OV:50
Domenic Monardo	AGE:29	PO:0	OV:50
Danny Hobbs	AGE:28	PO:0	OV:50

Patrick Kane	AGE:29	PO:0	OV:76
Aleksander Barkov	AGE:22	PO:0	OV:72
Ryan Dzingel	AGE:26	PO:0	OV:63
Nic Dowd	AGE:27	PO:0	OV:62
Jordan Schroeder	AGE:27	PO:0	OV:59
Chase Balisy	AGE:26	PO:0	OV:58
*Blake Coleman	AGE:26	PO:0	OV:57
Chad Nehring	AGE:30	PO:0	OV:55
Mark McNeill	AGE:25	PO:0	OV:53
Matt Mangene	AGE:29	PO:0	OV:53
Marc Hagel	AGE:29	PO:0	OV:51
Austin Fyten	AGE:27	PO:0	OV:50
Domenic Monardo	AGE:29	PO:0	OV:50
Danny Hobbs	AGE:28	PO:0	OV:50
Matt Leitner	AGE:27	PO:0	OV:48
Chris DeSousa	AGE:27	PO:0	OV:47

Patrick Kane	AGE:29	PO:0	OV:76
Blake Comeau	AGE:32	PO:0	OV:69
*Nikolaj Ehlers	AGE:22	PO:0	OV:68
*Anthony Mantha	AGE:23	PO:0	OV:63
Ryan Dzingel	AGE:26	PO:0	OV:63
Andreas Martinsen	AGE:27	PO:0	OV:62
Jordan Schroeder	AGE:27	PO:0	OV:59
Chase Balisy	AGE:26	PO:0	OV:58
Colin McDonald	AGE:33	PO:0	OV:55
Chad Nehring	AGE:30	PO:0	OV:55
Cole Ully	AGE:23	PO:0	OV:53
Mark McNeill	AGE:25	PO:0	OV:53
Matt Mangene	AGE:29	PO:0	OV:53
Marc Hagel	AGE:29	PO:0	OV:51
Austin Fyten	AGE:27	PO:0	OV:50
Domenic Monardo	AGE:29	PO:0	OV:50
Danny Hobbs	AGE:28	PO:0	OV:50
Joe Devin	AGE:30	PO:0	OV:47

Défense #1

Défense #2

Gardien

Mark Giordano	AGE:34	PO:0	OV:78
Sami Vatanen	AGE:26	PO:0	OV:72
Justin Braun	AGE:31	PO:0	OV:71
*Damon Severson	AGE:23	PO:0	OV:70
*Anthony DeAngelo	AGE:22	PO:0	OV:67
Ben Chiarot	AGE:26	PO:0	OV:67
*Robert Hagg	AGE:23	PO:0	OV:59
*Ben Harpur	AGE:23	PO:0	OV:57

Darren Dietz	AGE:24	PO:0	OV:54
Justin Holl	AGE:26	PO:0	OV:54
*Ethan Prow	AGE:25	PO:0	OV:53
*Jacob Middleton	AGE:22	PO:0	OV:53
Jan Kostalek	AGE:23	PO:0	OV:52
*Sam Jardine	AGE:24	PO:0	OV:50
*Nick Seeler	AGE:24	PO:0	OV:49

Ben Bishop	AGE:31	PO:0	OV:78
*Mason McDonald	AGE:22	PO:0	OV:56
*Daniel Vladar	AGE:20	PO:0	OV:55
Matt Hackett	AGE:28	PO:0	OV:51
*Evan Cowley	AGE:25	PO:0	OV:42

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
Adam Ruzicka	Maple Leafs	2017	116
Blake Kessel	Maple Leafs
Brendan O'Donnell	Maple Leafs
Brett Howden	Maple Leafs	2016	19
Calle Andersson	Maple Leafs
Chaz Reddekopp	Maple Leafs	2015	215
Chris Martenet	Maple Leafs	2015	119
Christian Jaros	Maple Leafs	2015	142
Conor Timmins	Maple Leafs	2017	27
Eemeli Rasanen	Maple Leafs	2017	47
Eetu Tuulola	Maple Leafs	2016	79
Eric Knodel	Maple Leafs
Eric Roy	Maple Leafs	2013	128
Fredrik Pettersson-Wentzel	Maple Leafs
Gabriel Beaupre	Maple Leafs
Greg Scott	Maple Leafs
Jeremy Lauzon	Maple Leafs	2015	56
Joe Basaraba	Maple Leafs
John Westin	Maple Leafs
Jonah Gadjovich	Maple Leafs	2017	58
Jonne Tammela	Maple Leafs	2015	179
Kailer Yamamoto	Maple Leafs	2017	24
Kelly Summers	Maple Leafs	2014	210
Marcel Muller	Maple Leafs
Max Gardiner	Maple Leafs
Oskar Lindblom	Maple Leafs	2014	96
Pierre Engvall	Maple Leafs	2014	186
Pierre-Olivier Joseph	Maple Leafs	2017	52
Ryan Donato	Maple Leafs	2014	49
Ryan Mantha	Maple Leafs	2014	156
Ukko-Pekka Luukkonen	Maple Leafs	2017	44
Vojtech Budik	Maple Leafs	2016	199
missed pick	Maple Leafs	2017	197

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	CAR TOR	TOR FLA	TOR	TOR	TOR	PHI	PHI TOR
2019	TOR	TOR	TOR FLA	TOR BUF	TOR	TOR	TOR
2020	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2021	TOR	TOR	TOR	TOR	TOR	TOR	TOR
2022	TOR	TOR	TOR	TOR	TOR	TOR	TOR

[24.03.2018 22:04:20] - Marlies didn't make playoff for year 2017.
[24.03.2018 22:04:20] - Maple Leafs didn't make playoff for year 2017.
[24.02.2018 20:08:57] - TRADE : From Panthers to Maple Leafs : Y:2019-RND:3-FLA.
[24.02.2018 20:08:57] - TRADE : From Maple Leafs to Panthers : Markus Niemelainen (P).
[15.02.2018 21:20:50] - TRADE : From Maple Leafs to Jets : 3 Kč (Money).
[15.02.2018 21:20:50] - TRADE : From Jets to Maple Leafs : Matt Hackett (51).
[15.02.2018 21:20:49] - Matt Hackett was added to Maple Leafs.
[12.02.2018 20:40:07] - Evan Cowley was added to Maple Leafs.
[11.02.2018 20:42:05] - TRADE : From Predators to Maple Leafs : Y:2018-RND:3-TOR.
[11.02.2018 20:42:05] - TRADE : From Maple Leafs to Predators : Anton Khudobin (72).
[10.02.2018 23:26:30] - TRADE : From Maple Leafs to Panthers : Alexander Steen (73).
[10.02.2018 23:26:30] - TRADE : From Panthers to Maple Leafs : Pierre-Olivier Joseph (P), Y:2018-RND:2-FLA.
[17.01.2018 20:49:30] - TRADE : From Maple Leafs to Flyers : Steve Ott (64), Drew Miller (63).
[17.01.2018 20:49:30] - TRADE : From Flyers to Maple Leafs : Y:2018-RND:6-PHI, Y:2018-RND:7-PHI.
[17.01.2018 20:48:55] - TRADE : From Maple Leafs to Sabres : Paul Martin (73).
[17.01.2018 20:48:55] - TRADE : From Sabres to Maple Leafs : Y:2019-RND:4-BUF, Conditional Draft Pick - Y:2018-RND:6-BUF.
[08.01.2018 21:13:12] - TRADE : From Flyers to Maple Leafs : Anthony Mantha (63), Jonah Gadjovich (P).
[08.01.2018 21:13:12] - TRADE : From Maple Leafs to Flyers : James van Riemsdyk (71), Y:2018-RND:3-TBL.
[08.01.2018 21:13:11] - Anthony Mantha was added to Maple Leafs.
[04.12.2017 20:34:09] - TRADE : From Penguins to Maple Leafs : Alexander Steen (73), Ethan Prow (53), Joe Devin (47), Matt Leitner (48), Adam Ruzicka (P), Christian Jaros (P).
[04.12.2017 20:34:09] - TRADE : From Maple Leafs to Penguins : Joe Pavelski (76).
[04.12.2017 20:34:08] - Matt Leitner was added to Maple Leafs.
[04.12.2017 20:34:08] - Joe Devin was added to Maple Leafs.
[04.12.2017 20:34:08] - Ethan Prow was added to Maple Leafs.
[04.12.2017 20:34:08] - Alexander Steen was added to Maple Leafs.
[29.10.2017 20:35:51] - New Record for Team's Most Shots Blocked (27) in 1 Game for Maple Leafs!
[26.10.2017 21:55:54] - TRADE : From Maple Leafs to Lightning : Anthony Cirelli (P).
[26.10.2017 21:55:54] - TRADE : From Lightning to Maple Leafs : Y:2018-RND:3-TBL.

[16.05.2018 20:45:07] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[11.05.2018 20:49:41] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[10.05.2018 23:04:59] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:08] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:44] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:28] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:40] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:34] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:46] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:18] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:45] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[12.04.2018 20:31:00] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:31] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[10.04.2018 20:34:53] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[06.04.2018 20:32:47] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[04.04.2018 20:44:42] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[04.04.2018 20:30:44] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[02.04.2018 20:58:18] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2
[02.04.2018 20:52:59] Successfully loaded Maple Leafs lines done with STHS Client - 3.1.2.2

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	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
2017	82	20	46	0	6	4	4	2	208	308	-100	41	14	20	0	3	2	1	1	116	136	-20	41	6	26	0	3	2	3	1	92	172	-80	40	208	323	531	2	0	70	75	53	14	2357	791	794	749	56	2544	1049	276	1755	172	33	19.19%	138	46	66.67%	2	625	1336	46.78%	635	1312	48.40%	495	1082	45.75%	1826	1182	1883	638	1258	636
Total Saison Régulière	82	20	46	0	6	4	4	2	208	308	-100	41	14	20	0	3	2	1	1	116	136	-20	41	6	26	0	3	2	3	1	92	172	-80	40	208	323	531	2	0	70	75	53	14	2357	791	794	749	56	2544	1049	276	1755	172	33	19.19%	138	46	66.67%	2	625	1336	46.78%	635	1312	48.40%	495	1082	45.75%	1826	1182	1883	638	1258	636