PIFFPACK - Maple Leafs

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

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Patrick Kane (A)			X		100.00	58	38	84	88	66	94	89	92	56	90	89	62	93	79	78	71	82	88	0
2	Vladimir Tarasenko			X		100.00	76	38	86	82	79	84	89	81	56	79	83	63	82	75	73	69	82	83	0
3	Anders Lee		X			100.00	79	53	72	75	90	82	95	74	67	72	78	64	76	77	89	40	82	80	0
4	Mathew Barzal	X				100.00	54	41	77	91	72	83	95	85	74	81	70	59	78	63	65	84	82	80	0
5	Josh Bailey			X		100.00	53	42	87	76	80	82	95	74	70	79	68	57	72	78	74	69	82	78	0
6	Patrick Marleau	X				100.00	69	38	84	78	84	81	95	68	72	70	68	63	68	90	83	32	78	78	0
7	J.T. Miller	X				100.00	81	39	82	74	81	77	88	73	75	78	67	59	72	71	68	79	82	77	0
8	Paul Byron		X			100.00	85	43	86	76	62	77	69	72	55	72	74	82	73	78	73	39	82	76	0
9	Sam Gagner	X				100.00	61	38	86	69	72	82	65	68	77	70	66	58	69	78	71	68	79	74	0
10	Jason Spezza	X				100.00	53	44	83	65	86	73	89	64	80	70	62	54	65	86	77	53	82	73	0
11	Morgan Rielly (A)				X	100.00	64	36	90	80	82	89	95	78	30	87	79	76	62	69	70	85	82	78	0
12	Brandon Carlo				X	100.00	84	47	74	63	91	87	85	62	30	68	56	90	51	65	63	76	78	76	0
13	Will Butcher				X	100.00	57	37	88	67	68	85	91	66	30	77	59	57	52	67	65	57	78	67	0
14	Victor Mete				X	100.00	53	35	94	68	65	79	82	66	30	70	54	65	53	61	63	72	81	66	0
Rayé
1	Evgeni Malkin (C)	X				100.00	68	51	63	89	82	84	80	86	79	88	76	53	84	82	78	56	81	84	0
2	Erik Karlsson				X	100.00	66	39	82	80	72	91	68	79	30	92	63	78	56	77	80	68	78	77	0
3	Nick Leddy				X	100.00	71	37	88	78	75	87	93	76	30	74	58	62	53	75	68	71	82	72	0

	MOYENNE D'ÉQUIPE					100.00	67	41	83	76	77	83	86	74	55	77	69	65	68	75	73	64	81	77

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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	Carter Hutton	100.00	86	94	92	74	85	84	86	85	84	86	85	84	88	26	82	83	0
Rayé
1	Pekka Rinne	100.00	92	94	92	93	91	90	92	91	90	92	91	87	91	22	81	89	0

	MOYENNE D'ÉQUIPE	100.00	89	94	92	84	88	87	89	88	87	89	88	86	90	24	82	86

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Hartley	72	70	75	73	87	81	59	CAN	58	3	3,500,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Anders Lee	Maple Leafs	LW	27	1990-07-03	No	231 Lbs	6 ft3	No	No	No	0	Avec Restriction	Pro & Farm		0$	0$	No	Lien
Brandon Carlo	Maple Leafs	D	20	1996-11-26	No	212 Lbs	6 ft5	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Carter Hutton	Maple Leafs	G	31	1985-12-19	No	198 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	2,750,000$	2,750,000$	2,750,000$	No	Lien
Erik Karlsson	Maple Leafs	D	27	1990-05-31	No	190 Lbs	6 ft0	No	No	No	0	Avec Restriction	Pro & Farm		0$	0$	No	Lien
Evgeni Malkin	Maple Leafs	C	31	1986-07-31	No	195 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	9,500,000$	9,500,000$	9,500,000$	No	Lien
J.T. Miller	Maple Leafs	C	24	1993-03-14	No	218 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	No	Lien
Jason Spezza	Maple Leafs	C	34	1983-06-13	No	215 Lbs	6 ft3	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Josh Bailey	Maple Leafs	RW	27	1989-10-02	No	212 Lbs	6 ft1	No	No	No	5	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	No	Lien
Mathew Barzal	Maple Leafs	C	20	1997-05-26	No	187 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	863,333$	No	Lien
Morgan Rielly	Maple Leafs	D	23	1994-03-09	No	221 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	No	Lien
Nick Leddy	Maple Leafs	D	26	1991-03-20	No	207 Lbs	6 ft0	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	Lien
Patrick Kane	Maple Leafs	RW	28	1988-11-19	No	177 Lbs	5 ft10	No	No	No	4	Sans Restriction	Pro & Farm	10,500,000$	10,500,000$	10,500,000$	No	Lien
Patrick Marleau	Maple Leafs	C	38	1979-09-15	No	218 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,250,000$	6,250,000$	6,250,000$	No	Lien
Paul Byron	Maple Leafs	LW	28	1989-04-27	No	163 Lbs	5 ft9	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Pekka Rinne	Maple Leafs	G	34	1982-11-03	No	217 Lbs	6 ft5	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien
Sam Gagner	Maple Leafs	C	28	1989-08-10	No	200 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	1,125,000$	1,125,000$	1,125,000$	No	Lien
Victor Mete	Maple Leafs	D	19	1998-06-07	No	183 Lbs	5 ft9	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	750,000$	No	Lien
Vladimir Tarasenko	Maple Leafs	RW	25	1991-12-13	No	225 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	7,500,000$	7,500,000$	7,500,000$	No	Lien
Will Butcher	Maple Leafs	D	22	1995-01-06	No	190 Lbs	5 ft10	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	26.95	203 Lbs	6 ft1	1.74	3,157,281$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
59,988,333$	52,125,000$	48,250,000$	28,250,000$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrick Kane		Josh Bailey	40	1	2	2
2	Patrick Marleau		Vladimir Tarasenko	30	1	2	2
3	Anders Lee	Mathew Barzal	J.T. Miller	20	1	2	2
4	Paul Byron	Sam Gagner		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2	Morgan Rielly	Brandon Carlo	30	1	2	2
3	Will Butcher	Victor Mete	20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrick Kane		Josh Bailey	60	1	2	2
2	Patrick Marleau	Mathew Barzal	Vladimir Tarasenko	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Morgan Rielly	Brandon Carlo	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Patrick Kane	60	1	2	2
2	Josh Bailey	Vladimir Tarasenko	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Morgan Rielly	Brandon Carlo	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Spezza	60	1	2	2			60	1	2	2
2	Patrick Kane	40	1	2	2	Morgan Rielly	Brandon Carlo	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Patrick Kane	60	1	2	2
2	Josh Bailey	Vladimir Tarasenko	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Morgan Rielly	Brandon Carlo	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrick Kane		Josh Bailey

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Patrick Kane	Jason Spezza	Josh Bailey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jason Spezza, Mathew Barzal, Anders Lee	Jason Spezza, Mathew Barzal	Anders Lee

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Will Butcher, Victor Mete, Morgan Rielly	Will Butcher	Victor Mete, Morgan Rielly

Tirs de Pénalité
, Patrick Kane, Josh Bailey, Vladimir Tarasenko,

Gardien
#1 : , #2 : Carter Hutton

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	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	4000	1000
Prix des Billets	101	62	45	30	195
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$	18000	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$	59,988,333$	59,702,619$	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$	12	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$	-9,496,989$	-9,496,989$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Anders Lee	AGE:27	PO:40	OV:80
Paul Byron	AGE:28	PO:39	OV:76
Charles Hudon	AGE:23	PO:66	OV:67
Tomas Jurco	AGE:24	PO:71	OV:66

Evgeni Malkin	AGE:31	PO:56	OV:84
Mathew Barzal	AGE:20	PO:84	OV:80
Patrick Marleau	AGE:38	PO:32	OV:78
J.T. Miller	AGE:24	PO:79	OV:77
Colin White	AGE:20	PO:82	OV:74
Colin Wilson	AGE:27	PO:69	OV:74
Sam Gagner	AGE:28	PO:68	OV:74
Jason Spezza	AGE:34	PO:53	OV:73
Nick Cousins	AGE:24	PO:63	OV:72
Colton Sceviour	AGE:28	PO:48	OV:70
Luke Kunin	AGE:19	PO:84	OV:68
Michael McCarron	AGE:22	PO:79	OV:64
Brendan Gaunce	AGE:23	PO:77	OV:63
Dominic Turgeon	AGE:21	PO:66	OV:61

Patrick Kane	AGE:28	PO:71	OV:88
Vladimir Tarasenko	AGE:25	PO:69	OV:83
Josh Bailey	AGE:27	PO:69	OV:78
Zack Kassian	AGE:26	PO:70	OV:69

Défense #1

Défense #2

Gardien

Morgan Rielly	AGE:23	PO:85	OV:78
Erik Karlsson	AGE:27	PO:68	OV:77
Brandon Carlo	AGE:20	PO:76	OV:76
Nick Leddy	AGE:26	PO:71	OV:72
Mirco Mueller	AGE:22	PO:81	OV:70
Eric Gryba	AGE:29	PO:52	OV:68

Will Butcher	AGE:22	PO:57	OV:67
Brian Lashoff	AGE:27	PO:46	OV:67
Victor Mete	AGE:19	PO:72	OV:66
Christian Jaros	AGE:21	PO:56	OV:66
Rinat Valiev	AGE:22	PO:65	OV:65
Anton Lindholm	AGE:22	PO:54	OV:62

Pekka Rinne	AGE:34	PO:22	OV:89
Carter Hutton	AGE:31	PO:26	OV:83
Charlie Lindgren	AGE:23	PO:47	OV:72
Ville Husso	AGE:22	PO:72	OV:68

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
Anton Slepyshev	Maple Leafs
Gustav Olofsson	Maple Leafs
Nail Yakupov	Maple Leafs
Rina Valiev	Maple Leafs	2014	68
Ryan Mantha	Maple Leafs
Ville Husso	Maple Leafs
Zachary Fucale	Maple Leafs

Choix au Repêchage

Année	R2	R4	R5
5	TOR	TOR
6	TOR	TOR	TOR
7	TOR	TOR	TOR

[2019-07-01 15:33:31] - TRADE : From Oilers to Maple Leafs : Erik Karlsson (77).
[2019-07-01 15:33:31] - TRADE : From Maple Leafs to Oilers : Dylan Strome (78), Trevor Daley (71), Brendan Lemieux (70).
[2019-06-21 22:16:37] - Ryan Mantha has been deleted from Maple Leafs.
[2019-06-21 22:16:32] - Henrik Zetterberg has been deleted from Maple Leafs.
[2019-05-25 22:23:24] - Marlies was eliminated at round 4 of year 2.
[2019-05-07 20:57:53] - Maple Leafs was eliminated at round 2 of year 2.
[2019-02-07 21:44:45] - TRADE : From Lightning to Maple Leafs : Henrik Zetterberg (83), Trevor Daley (75).
[2019-02-07 21:44:45] - TRADE : From Maple Leafs to Lightning : John Moore (73), Phillip Danault (72), Y:5-RND:5-TOR.
[2019-02-07 21:43:48] - TRADE : From Islanders to Maple Leafs : Patrick Marleau (82).
[2019-02-07 21:43:48] - TRADE : From Maple Leafs to Islanders : Artem Anisimov (72).
[2019-01-18 21:36:07] - New Record for Team's Most Shots (48) in 1 Game for Maple Leafs!
[2018-12-10 12:10:46] - TRADE : From Maple Leafs to Stars : Y:7-RND:3-TOR.
[2018-12-10 12:10:46] - TRADE : From Stars to Maple Leafs : Brandon Carlo (71).
[2018-12-08 14:58:20] - TRADE : From Panthers to Maple Leafs : Will Butcher (68).
[2018-12-08 14:58:20] - TRADE : From Maple Leafs to Panthers : Joel Armia (69).
[2018-11-13 15:03:36] - New Record for Team's Most Hits (33) in 1 Game for Maple Leafs!
[2018-11-08 23:54:24] - New Record for Team's Most Points (23) in 1 Game for Maple Leafs!
[2018-11-08 23:54:24] - New Record for Team's Most Assists (15) in 1 Game for Maple Leafs!
[2018-11-08 23:54:24] - New Record for Team's Most Goals (8) in 1 Game for Maple Leafs!
[2018-10-08 21:07:35] - Colin White has been selected as assistant for Marlies.
[2018-10-08 21:07:35] - Unknown Player is no longer as assistant for Marlies.
[2018-10-08 21:07:35] - Dylan Strome has been selected as assistant for Marlies.
[2018-10-08 21:07:35] - Unknown Player is no longer as assistant for Marlies.
[2018-10-08 21:07:35] - Charles Hudon has been selected as captain for Marlies.
[2018-10-08 21:07:35] - Unknown Player is no longer captain for Marlies.
[2018-10-08 21:07:35] - Morgan Rielly has been selected as assistant for Maple Leafs.
[2018-10-08 21:07:35] - Unknown Player is no longer as assistant for Maple Leafs.
[2018-10-08 21:07:35] - Patrick Kane has been selected as assistant for Maple Leafs.
[2018-10-08 21:07:35] - Unknown Player is no longer as assistant for Maple Leafs.
[2018-10-08 21:07:35] - Evgeni Malkin has been selected as captain for Maple Leafs.
[2018-10-08 21:07:35] - Unknown Player is no longer captain for Maple Leafs.
[2018-10-08 11:50:23] - TRADE : From Stars to Maple Leafs : Anton Lindholm (68), Mathew Barzal (83), Phillip Danault (71).
[2018-10-08 11:50:23] - TRADE : From Maple Leafs to Stars : Josh Morrissey (75), Kasperi Kapanen (65), Lawson Crouse (59), Logan Brown (58), Y:5-RND:3-TOR, Y:6-RND:3-TOR.
[2018-10-05 10:53:16] - Colin Wilson was added to Maple Leafs.
[2018-10-05 10:52:28] - Jason Spezza was added to Maple Leafs.
[2018-10-01 23:43:57] - Sam Gagner was added to Maple Leafs.
[2018-09-27 22:10:34] - Nail Yakupov has been added to Maple Leafs.
[2018-09-25 22:20:33] - TRADE : From Maple Leafs to Senateurs : Tomas Tatar (73).
[2018-09-25 22:20:33] - TRADE : From Senateurs to Maple Leafs : Joel Armia (69).
[2018-09-23 19:40:49] - Dmitry Kulikov was released.
[2018-09-23 19:40:49] - Maple Leafs paid 0 $ to release Dmitry Kulikov.

[2019-07-01 15:33:31] TRADE : From Oilers to Maple Leafs : Erik Karlsson (77).
[2019-07-01 15:33:31] TRADE : From Maple Leafs to Oilers : Dylan Strome (78), Trevor Daley (71), Brendan Lemieux (70).
[2019-06-21 22:16:37] Ryan Mantha has been deleted from Maple Leafs.
[2019-06-21 22:16:32] Henrik Zetterberg has been deleted from Maple Leafs.
[2019-05-26 21:42:03] Current fund for Maple Leafs is under 0 $.
[2019-05-25 22:24:24] Current fund for Maple Leafs is under 0 $.
[2019-05-25 22:23:24] Ville Husso from Marlies is back from Exhaustion.
[2019-05-25 22:23:24] Ville Husso from Marlies injured (Exhaustion)
[2019-05-24 22:08:01] Current fund for Maple Leafs is under 0 $.
[2019-05-23 21:54:41] Current fund for Maple Leafs is under 0 $.
[2019-05-22 21:09:31] Current fund for Maple Leafs is under 0 $.
[2019-05-20 21:43:15] Current fund for Maple Leafs is under 0 $.
[2019-05-20 21:42:50] Charles Hudon from Marlies is back from Exhaustion.
[2019-05-20 21:42:50] Anton Lindholm from Marlies is back from Exhaustion.
[2019-05-19 23:04:30] Current fund for Maple Leafs is under 0 $.
[2019-05-19 23:04:06] Anton Lindholm from Marlies is injured from Exhaustion.
[2019-05-19 23:04:06] Charles Hudon from Marlies is injured from Exhaustion.

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
Séries
2	12	6	6	0	0	0	0	0	28	24	4	6	3	3	0	0	0	0	0	15	14	1	6	3	3	0	0	0	0	0	13	10	3	12	28	53	81	0	0	8	10	9	1	376	131	109	127	9	441	155	82	242	60	10	16.67%	41	4	90.24%	0	158	327	48.32%	170	360	47.22%	77	150	51.33%	266	151	265	112	211	108
Total Séries	12	6	6	0	0	0	0	0	28	24	4	6	3	3	0	0	0	0	0	15	14	1	6	3	3	0	0	0	0	0	13	10	3	12	28	53	81	0	0	8	10	9	1	376	131	109	127	9	441	155	82	242	60	10	16.67%	41	4	90.24%	0	158	327	48.32%	170	360	47.22%	77	150	51.33%	266	151	265	112	211	108