Stanley Cup Winners Hockey League

TORONTO Maple Leafs
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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Tyson Jost	0	X				100.00	65	39	87	69	70	76	85	67	73	68	64	66	69	63	67	86	99	70	0	22	5	1,500,000$
2	Casey Mittelstadt	0	X				100.00	62	39	88	66	77	81	83	64	71	63	62	65	66	63	65	87	99	69	0	21	1	875,000$
3	Adam Erne	0		X			100.00	89	47	77	63	80	74	87	62	58	61	59	57	63	68	65	74	99	68	0	25	3	800,000$
4	Henrik Borgstrom	0	X				100.00	64	43	86	64	83	80	77	66	73	61	59	63	66	65	62	81	99	68	0	23	6	1,250,000$
5	Brett Ritchie	0			X		100.00	84	50	78	61	89	73	75	59	52	57	58	60	59	73	68	62	99	67	0	27	1	1,750,000$
6	John Quenneville (R)	0	X				100.00	61	45	86	63	76	83	80	61	73	60	62	64	63	67	64	76	99	67	0	24	3	750,000$
7	Paul Bittner (R)	0	X	X			100.00	73	51	87	59	90	85	82	58	55	57	56	60	59	67	64	73	99	67	0	23	3	750,000$
8	Dominic Toninato (R)	0	X				100.00	63	47	82	61	79	80	78	59	65	58	60	62	59	71	66	57	99	67	0	26	3	750,000$
9	Jordan Kyrou (R)	0	X				100.00	57	39	89	67	69	77	76	66	58	63	64	65	68	63	64	76	99	67	0	22	3	750,000$
10	Lukas Vejdemo (R)	0	X				100.00	62	45	90	62	79	78	83	63	74	61	58	64	65	67	64	62	99	67	0	24	3	750,000$
11	Rasmus Asplund (R)	0	X				100.00	58	39	82	66	70	81	78	63	72	64	61	65	63	65	66	77	99	67	0	22	3	750,000$
12	Isaac Ratcliffe (R)	0		X			100.00	74	52	83	56	92	85	87	55	51	54	54	59	53	61	62	76	99	66	0	21	3	750,000$
13	Matthew Phillips (R)	0			X		100.00	53	39	87	61	57	83	78	62	58	60	59	57	62	63	61	64	99	64	0	22	3	750,000$
14	Spencer Smallman (R)	0			X		100.00	63	45	84	60	77	75	73	61	55	59	52	58	61	67	63	52	99	64	0	23	3	750,000$
15	Daniel O'Regan (R)	0	X				100.00	44	35	82	76	58	47	41	61	48	58	58	58	58	58	49	79	99	57	0	26	3	750,000$
16	Ryan Collins (R)	0				X	100.00	77	49	87	55	93	76	78	56	30	53	54	60	45	67	64	70	99	65	0	24	3	750,000$
17	Martin Fehervary (R)	0				X	100.00	64	45	87	60	81	84	74	58	30	57	57	59	46	61	63	74	99	65	0	20	6	800,000$
18	Nick Ebert	0				X	100.00	62	47	86	57	74	82	81	56	30	55	54	58	46	71	66	59	99	64	0	26	1	750,000$
19	Jesper Lindgren (R)	0				X	100.00	53	41	83	58	67	75	74	57	30	56	52	54	51	65	63	66	99	61	0	23	3	750,000$
20	Andrew Welinski (R)	0				X	100.00	48	35	81	65	75	47	43	50	30	41	40	56	49	60	50	71	99	52	0	27	3	750,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	64	44	85	62	77	76	76	60	54	58	57	61	59	65	63	71	99	65

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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	Ville Husso (R)	100.00	74	84	82	84	73	72	74	73	72	74	73	69	73	61	99	68	0
2	Marcus Hogberg (R)	100.00	73	75	73	91	72	71	73	72	71	73	72	71	75	62	99	67	0
3	Veini Vehvilainen (R)	100.00	71	82	80	71	70	69	71	70	69	71	70	65	69	62	99	65	0
Rayé
1	Brandon Halverson (R)	100.00	60	58	56	88	59	58	60	59	58	60	59	67	71	67	99	56	0

	MOYENNE D'ÉQUIPE	100.00	70	75	73	84	69	68	70	69	68	70	69	68	72	63	99	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kevin Dineen	69	69	69	69	81	81	56	CAN	58	3	300,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	S1	S2	S3
1	Adam Erne	TORONTO Marlies (TOR)	LW	63	36	47	83	11	20	0	171	86	288	74	198	12.50%	58	1130	17.95	5	9	14	41	131	1	23	5	2	62.65%	83	2	0	2	1.47	1	3	6	7	4
2	Brett Ritchie	TORONTO Marlies (TOR)	RW	63	39	40	79	11	24	0	99	90	286	92	223	13.64%	55	1105	17.55	5	10	15	40	131	0	0	4	1	54.05%	74	0	0	2	1.43	0	1	3	3	5
3	Ryan Collins	TORONTO Marlies (TOR)	D	63	14	62	76	6	114	0	265	92	150	50	89	9.33%	164	1375	21.83	6	6	12	53	105	1	46	1	0	0.00%	0	2	2	0	1.11	0	0	3	4	6
4	Matthew Phillips	TORONTO Marlies (TOR)	RW	63	29	19	48	18	2	0	14	65	224	55	152	12.95%	53	741	11.76	0	0	0	0	0	0	0	2	0	47.62%	42	0	1	3	1.30	0	0	2	2	1
5	Isaac Ratcliffe	TORONTO Marlies (TOR)	LW	63	16	28	44	18	24	0	129	57	169	46	129	9.47%	40	740	11.76	0	0	0	0	0	0	0	1	0	40.00%	50	0	2	0	1.19	0	0	0	3	3
6	Paul Bittner	TORONTO Marlies (TOR)	C/LW	63	33	8	41	-9	30	0	181	95	296	96	189	11.15%	118	1005	15.95	5	2	7	66	161	0	0	3	0	48.39%	62	1	0	3	0.82	0	0	5	0	3
7	Andrew Welinski	TORONTO Marlies (TOR)	D	63	6	30	36	8	28	0	82	46	44	20	29	13.64%	107	891	14.16	0	0	0	0	0	2	33	0	0	0.00%	0	0	2	0	0.81	0	0	1	0	1
8	John Quenneville	TORONTO Marlies (TOR)	C	63	22	2	24	-12	14	0	76	101	192	53	120	11.46%	90	653	10.37	0	0	0	0	0	0	0	1	0	61.81%	728	0	2	2	0.73	0	0	1	1	1
9	Jesper Lindgren	TORONTO Marlies (TOR)	D	31	2	7	9	-3	31	5	51	21	14	7	9	14.29%	32	399	12.88	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.45	0	0	0	0	0
10	Dominic Toninato	TORONTO Marlies (TOR)	C	63	0	0	0	0	0	0	0	1	2	0	0	0.00%	1	8	0.14	0	0	0	2	8	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0
11	Jordan Kyrou	TORONTO Marlies (TOR)	C	63	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.01	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				661	197	243	440	48	287	5	1068	654	1665	493	1138	11.83%	718	8052	12.18	21	27	48	202	537	4	103	17	3	58.90%	1039	5	9	12	1.09	1	4	21	20	24

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Marcus Hogberg	TORONTO Marlies (TOR)	63	18	36	9	0.924	3.43	3744	12	3	214	2811	28	9	2	0.722	18	63	63	9	10	4
Stats d'équipe Total ou en Moyenne			63	18	36	9	0.924	3.43	3744	12	3	214	2811	28	9	2	0.722	18	63	63	9	10	4

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Erne	TORONTO Marlies (TOR)	LW	25	4/20/1995	No	96 Kg	185 CM	No	No	No	3	Pro & Farm	800,000$	169,492$	800,000$	169,492$	0$	0$	No	800,000$	800,000$				Lien
Andrew Welinski	TORONTO Marlies (TOR)	D	27	4/27/1993	Yes	91 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Brandon Halverson	TORONTO Marlies (TOR)	G	24	3/29/1996	Yes	95 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Brett Ritchie	TORONTO Marlies (TOR)	RW	27	7/1/1993	No	100 Kg	193 CM	No	No	No	1	Pro & Farm	1,750,000$	370,763$	1,750,000$	370,763$	0$	0$	No						Lien
Casey Mittelstadt	TORONTO Marlies (TOR)	C	21	11/22/1998	No	90 Kg	185 CM	No	No	No	1	Pro & Farm	875,000$	185,381$	750,000$	158,898$	0$	0$	No						Lien
Daniel O'Regan	TORONTO Marlies (TOR)	C	26	1/30/1994	Yes	82 Kg	175 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Dominic Toninato	TORONTO Marlies (TOR)	C	26	3/9/1994	Yes	87 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Henrik Borgstrom	TORONTO Marlies (TOR)	C	23	8/6/1997	No	90 Kg	191 CM	No	No	No	6	Pro & Farm	1,250,000$	264,831$	750,000$	158,898$	0$	0$	No	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	Lien
Isaac Ratcliffe	TORONTO Marlies (TOR)	LW	21	2/15/1999	Yes	91 Kg	198 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Jesper Lindgren	TORONTO Marlies (TOR)	D	23	5/19/1997	Yes	75 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
John Quenneville	TORONTO Marlies (TOR)	C	24	4/16/1996	Yes	89 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Jordan Kyrou	TORONTO Marlies (TOR)	C	22	5/5/1998	Yes	80 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Lukas Vejdemo	TORONTO Marlies (TOR)	C	24	1/25/1996	Yes	88 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Marcus Hogberg	TORONTO Marlies (TOR)	G	25	11/25/1994	Yes	95 Kg	196 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Martin Fehervary	TORONTO Marlies (TOR)	D	20	10/6/1999	Yes	91 Kg	188 CM	No	No	No	6	Pro & Farm	800,000$	169,492$	750,000$	158,898$	0$	0$	No	800,000$	800,000$	800,000$	800,000$	800,000$
Matthew Phillips	TORONTO Marlies (TOR)	RW	22	4/6/1998	Yes	64 Kg	170 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Nick Ebert	TORONTO Marlies (TOR)	D	26	5/11/1994	No	91 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No						Lien
Paul Bittner	TORONTO Marlies (TOR)	C/LW	23	11/4/1996	Yes	93 Kg	196 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Rasmus Asplund	TORONTO Marlies (TOR)	C	22	12/3/1997	Yes	86 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Ryan Collins	TORONTO Marlies (TOR)	D	24	5/6/1996	Yes	98 Kg	196 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Spencer Smallman	TORONTO Marlies (TOR)	RW	23	9/9/1996	Yes	90 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Tyson Jost	TORONTO Marlies (TOR)	C	22	3/14/1998	No	85 Kg	180 CM	No	No	No	5	Pro & Farm	1,500,000$	317,797$	1,500,000$	317,797$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$		Lien
Veini Vehvilainen	TORONTO Marlies (TOR)	G	23	2/13/1997	Yes	82 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Ville Husso	TORONTO Marlies (TOR)	G	25	2/6/1995	Yes	93 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	23.67	89 Kg	188 CM	3.08	853,125$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Erne		Brett Ritchie	31	1	2	2
2	Paul Bittner			26	1	2	2
3	Isaac Ratcliffe		Matthew Phillips	23	1	2	2
4		John Quenneville		20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Collins	31	1	2	2
2			26	1	2	2
3		Andrew Welinski	23	1	2	2
4		Ryan Collins	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Erne		Brett Ritchie	55	1	2	2
2	Paul Bittner			45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Collins	55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2		Adam Erne	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Collins	55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2		Ryan Collins	55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2		Adam Erne	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Collins	55	1	2	2
2			45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Erne		Brett Ritchie		Ryan Collins

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Erne		Brett Ritchie		Ryan Collins

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dominic Toninato, Jordan Kyrou, Lukas Vejdemo	Dominic Toninato, Jordan Kyrou	Lukas Vejdemo

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Andrew Welinski,		Andrew Welinski,

Tirs de Pénalité
, , , Adam Erne, Brett Ritchie

Gardien
#1 : , #2 : Marcus Hogberg

Lignes d'Attaque Perso. en Prol.
, , , Adam Erne, Brett Ritchie, John Quenneville, John Quenneville, Paul Bittner, Dominic Toninato, Jordan Kyrou, Lukas Vejdemo

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

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	BELLEVILLE Senators	1	1	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	3	5	2	1.000	8	14	22	0	0	95	61	45	1	48	601	568	648	25	31	8	6	32	3	2	66.67%	3	1	66.67%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
2	BRIDGEPORT Sound Tigers	4	0	3	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	4	5	-1	2	0	2	0	0	0	0	0	0	3	-3	2	0.250	4	4	8	0	0	95	61	45	1	59	601	568	648	25	168	63	8	44	15	0	0.00%	4	1	75.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
3	BROOKLYN Wolfpack	5	1	3	0	0	1	0	0	10	19	-9	2	1	1	0	0	0	0	0	3	3	0	3	0	2	0	0	1	0	0	7	16	-9	3	0.300	10	13	23	0	0	95	61	45	1	146	601	568	648	25	197	55	57	143	20	2	10.00%	21	10	52.38%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
4	CAROLINA Checkers	2	2	0	0	0	0	0	0	17	1	16	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	9	0	9	4	1.000	17	26	43	0	1	95	61	45	1	113	601	568	648	25	51	25	2	51	1	0	0.00%	1	0	100.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
5	CHICAGO Wolves	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	2	4	0	0	95	61	45	1	39	601	568	648	25	86	24	6	28	8	0	0.00%	3	1	66.67%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
6	COLORADO Eagles	5	0	4	0	0	0	0	1	13	21	-8	3	0	2	0	0	0	0	1	10	15	-5	2	0	2	0	0	0	0	0	3	6	-3	1	0.100	13	18	31	0	0	95	61	45	1	100	601	568	648	25	232	86	22	93	13	4	30.77%	10	3	70.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
7	GRAND RAPIDS Griffins	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	8	13	0	0	95	61	45	1	47	601	568	648	25	100	26	4	29	7	0	0.00%	1	1	0.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
8	HERSEY Bears	3	1	1	0	0	0	0	1	9	14	-5	0	0	0	0	0	0	0	0	0	0	0	3	1	1	0	0	0	0	1	9	14	-5	3	0.500	9	15	24	0	0	95	61	45	1	95	601	568	648	25	153	57	16	53	7	2	28.57%	8	2	75.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
9	IOWA Wild	2	0	2	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	95	61	45	1	52	601	568	648	25	85	25	14	31	2	0	0.00%	7	3	57.14%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
10	LAVAL Rocket	3	0	2	0	0	1	0	0	6	14	-8	2	0	2	0	0	0	0	0	3	10	-7	1	0	0	0	0	1	0	0	3	4	-1	1	0.167	6	7	13	0	0	95	61	45	1	50	601	568	648	25	169	59	18	47	8	0	0.00%	6	2	66.67%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
11	LEHIGH VALLEY Phantoms	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	6	11	0	0	95	61	45	1	41	601	568	648	25	117	44	8	40	3	1	33.33%	3	2	33.33%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
12	MANITOBA Moose	2	0	1	0	0	0	0	1	3	9	-6	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	1	6	-5	1	0.250	3	4	7	0	0	95	61	45	1	52	601	568	648	25	116	31	10	53	3	0	0.00%	5	1	80.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
13	MILWAUKEE Admirals	3	0	2	0	0	1	0	0	3	9	-6	2	0	1	0	0	1	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0.167	3	4	7	1	0	95	61	45	1	47	601	568	648	25	167	46	24	57	1	1	100.00%	11	1	90.91%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
14	ONTARIO Reign	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	6	10	0	0	95	61	45	1	36	601	568	648	25	70	15	2	19	1	0	0.00%	0	0	0.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
15	PROVIDENCE Bruins	5	0	5	0	0	0	0	0	8	18	-10	2	0	2	0	0	0	0	0	3	6	-3	3	0	3	0	0	0	0	0	5	12	-7	0	0.000	8	11	19	1	0	95	61	45	1	79	601	568	648	25	204	59	22	77	24	2	8.33%	8	4	50.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
16	ROCKFORD IceHogs	3	2	0	0	0	1	0	0	17	13	4	2	2	0	0	0	0	0	0	14	9	5	1	0	0	0	0	1	0	0	3	4	-1	5	0.833	17	25	42	0	0	95	61	45	1	110	601	568	648	25	120	36	14	55	3	0	0.00%	7	3	57.14%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
17	SAN ANTONIO Rampage	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	10	18	0	0	95	61	45	1	38	601	568	648	25	44	6	2	14	4	1	25.00%	1	1	0.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
18	SAN DIEGO Gulls	4	4	0	0	0	0	0	0	37	5	32	2	2	0	0	0	0	0	0	16	3	13	2	2	0	0	0	0	0	0	21	2	19	8	1.000	37	58	95	0	1	95	61	45	1	382	601	568	648	25	63	12	14	98	3	1	33.33%	6	0	100.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
19	SCRANTON Penguins	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	4	8	0	0	95	61	45	1	34	601	568	648	25	104	34	10	28	7	0	0.00%	4	1	75.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
20	STOCKTON Flames	2	1	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	0	6	-6	1	1	0	0	0	0	0	0	5	3	2	2	0.500	5	7	12	0	0	95	61	45	1	33	601	568	648	25	109	31	4	27	5	1	20.00%	2	1	50.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
21	SYRACUSE Crunch	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	3	6	0	0	95	61	45	1	21	601	568	648	25	77	18	8	19	3	0	0.00%	4	0	100.00%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
22	TUSCON Roadrunners	5	2	2	0	0	0	0	1	20	20	0	2	0	2	0	0	0	0	0	3	10	-7	3	2	0	0	0	0	0	1	17	10	7	5	0.500	20	35	55	0	0	95	61	45	1	152	601	568	648	25	260	63	18	79	13	3	23.08%	9	1	88.89%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
23	UTICA Comets	3	1	2	0	0	0	0	0	9	9	0	2	0	2	0	0	0	0	0	4	9	-5	1	1	0	0	0	0	0	0	5	0	5	2	0.333	9	15	24	0	1	95	61	45	1	50	601	568	648	25	177	56	36	51	13	2	15.38%	17	3	82.35%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
	Total	63	17	36	0	0	5	1	4	202	226	-24	32	8	19	0	0	2	1	2	98	121	-23	31	9	17	0	0	3	0	2	104	105	-1	45	0.357	202	299	501	2	3	95	61	45	1	1824	601	568	648	25	2900	879	325	1168	167	22	13.17%	141	42	70.21%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
	_Since Last GM Reset	63	17	36	0	0	5	1	4	202	226	-24	32	8	19	0	0	2	1	2	98	121	-23	31	9	17	0	0	3	0	2	104	105	-1	45	0.357	202	299	501	2	3	95	61	45	1	1824	601	568	648	25	2900	879	325	1168	167	22	13.17%	141	42	70.21%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
	_Vs Conference	44	12	24	0	0	4	1	3	144	153	-9	22	6	13	0	0	1	1	1	70	79	-9	22	6	11	0	0	3	0	2	74	74	0	33	0.375	144	215	359	2	2	95	61	45	1	1308	601	568	648	25	1954	598	251	811	124	18	14.52%	108	31	71.30%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
	_Vs Division	15	5	13	0	0	1	0	2	75	48	27	8	1	7	0	0	0	0	0	27	33	-6	7	4	6	0	0	1	0	2	48	15	33	13	0.433	75	121	196	0	2	95	61	45	1	653	601	568	648	25	679	177	74	274	35	7	20.00%	34	5	85.29%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301

			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
63	45	OTL1	202	299	501	1824	2900	879	325	1168	2	3

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	17	36	0	5	1	4	202	226

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	8	19	0	2	1	2	98	121

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	9	17	0	3	0	2	104	105

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	2	0	2	0	3

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
167	22	13.17%	141	42	70.21%	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
601	568	648	25	95	61	45	1

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
409	1502	27.23%	604	2710	22.29%	248	975	25.44%

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
1153	823	1990	417	674	301

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
1 - 2021-01-17	9	TORONTO Marlies	4	HERSEY Bears	2	W				Sommaire du Match
2 - 2021-01-18	15	UTICA Comets	5	TORONTO Marlies	3	L			R3	Sommaire du Match
4 - 2021-01-20	30	PROVIDENCE Bruins	4	TORONTO Marlies	2	L				Sommaire du Match
6 - 2021-01-22	52	TORONTO Marlies	9	TUSCON Roadrunners	3	W				Sommaire du Match
7 - 2021-01-23	62	ROCKFORD IceHogs	3	TORONTO Marlies	5	W				Sommaire du Match
8 - 2021-01-24	75	TORONTO Marlies	1	BROOKLYN Wolfpack	2	L				Sommaire du Match
10 - 2021-01-26	88	COLORADO Eagles	6	TORONTO Marlies	4	L				Sommaire du Match
13 - 2021-01-29	108	COLORADO Eagles	5	TORONTO Marlies	3	L				Sommaire du Match
14 - 2021-01-30	121	TORONTO Marlies	3	BROOKLYN Wolfpack	4	L	X			Sommaire du Match
15 - 2021-01-31	133	LAVAL Rocket	6	TORONTO Marlies	3	L				Sommaire du Match
16 - 2021-02-01	141	TORONTO Marlies	2	HERSEY Bears	8	L				Sommaire du Match
17 - 2021-02-02	149	TORONTO Marlies	0	PROVIDENCE Bruins	4	L				Sommaire du Match
19 - 2021-02-04	168	TUSCON Roadrunners	5	TORONTO Marlies	2	L				Sommaire du Match
20 - 2021-02-05	181	TORONTO Marlies	5	UTICA Comets	0	W			R3	Sommaire du Match
22 - 2021-02-07	195	UTICA Comets	4	TORONTO Marlies	1	L				Sommaire du Match
24 - 2021-02-09	210	IOWA Wild	4	TORONTO Marlies	0	L				Sommaire du Match
26 - 2021-02-11	223	TORONTO Marlies	3	BROOKLYN Wolfpack	10	L				Sommaire du Match
27 - 2021-02-12	236	CAROLINA Checkers	1	TORONTO Marlies	8	W				Sommaire du Match
29 - 2021-02-14	252	TORONTO Marlies	1	MANITOBA Moose	6	L				Sommaire du Match
30 - 2021-02-15	260	TORONTO Marlies	1	CHICAGO Wolves	2	L				Sommaire du Match
31 - 2021-02-16	272	SAN ANTONIO Rampage	3	TORONTO Marlies	8	W				Sommaire du Match
32 - 2021-02-17	289	TORONTO Marlies	3	ROCKFORD IceHogs	4	L	X			Sommaire du Match
34 - 2021-02-19	299	STOCKTON Flames	6	TORONTO Marlies	0	L				Sommaire du Match
35 - 2021-02-20	313	TORONTO Marlies	2	COLORADO Eagles	3	L				Sommaire du Match
36 - 2021-02-21	324	TUSCON Roadrunners	5	TORONTO Marlies	1	L				Sommaire du Match
38 - 2021-02-23	340	COLORADO Eagles	4	TORONTO Marlies	3	L	X	X		Sommaire du Match
39 - 2021-02-24	349	TORONTO Marlies	2	LEHIGH VALLEY Phantoms	5	L				Sommaire du Match
41 - 2021-02-26	368	BRIDGEPORT Sound Tigers	3	TORONTO Marlies	1	L				Sommaire du Match
42 - 2021-02-27	376	TORONTO Marlies	5	TUSCON Roadrunners	3	W				Sommaire du Match
44 - 2021-03-01	392	TORONTO Marlies	1	COLORADO Eagles	3	L				Sommaire du Match
45 - 2021-03-02	402	BROOKLYN Wolfpack	2	TORONTO Marlies	1	L				Sommaire du Match
47 - 2021-03-04	417	GRAND RAPIDS Griffins	3	TORONTO Marlies	4	W				Sommaire du Match
48 - 2021-03-05	432	TORONTO Marlies	0	BRIDGEPORT Sound Tigers	1	L				Sommaire du Match
50 - 2021-03-07	445	TORONTO Marlies	5	STOCKTON Flames	3	W				Sommaire du Match
51 - 2021-03-08	452	TORONTO Marlies	8	BELLEVILLE Senators	3	W			R3	Sommaire du Match
52 - 2021-03-09	465	PROVIDENCE Bruins	2	TORONTO Marlies	1	L				Sommaire du Match
54 - 2021-03-11	480	LAVAL Rocket	4	TORONTO Marlies	0	L				Sommaire du Match
55 - 2021-03-12	496	SYRACUSE Crunch	7	TORONTO Marlies	3	L				Sommaire du Match
56 - 2021-03-13	508	TORONTO Marlies	0	BRIDGEPORT Sound Tigers	2	L				Sommaire du Match
58 - 2021-03-15	524	BROOKLYN Wolfpack	1	TORONTO Marlies	2	W				Sommaire du Match
59 - 2021-03-16	534	TORONTO Marlies	1	GRAND RAPIDS Griffins	3	L				Sommaire du Match
61 - 2021-03-18	549	SCRANTON Penguins	5	TORONTO Marlies	3	L				Sommaire du Match
62 - 2021-03-19	562	TORONTO Marlies	9	CAROLINA Checkers	0	W				Sommaire du Match
64 - 2021-03-21	573	LEHIGH VALLEY Phantoms	4	TORONTO Marlies	3	L				Sommaire du Match
65 - 2021-03-22	588	TORONTO Marlies	2	IOWA Wild	6	L				Sommaire du Match
66 - 2021-03-23	600	ROCKFORD IceHogs	6	TORONTO Marlies	9	W				Sommaire du Match
67 - 2021-03-24	612	TORONTO Marlies	1	MILWAUKEE Admirals	3	L				Sommaire du Match
69 - 2021-03-26	623	TORONTO Marlies	3	LAVAL Rocket	4	L	X			Sommaire du Match
70 - 2021-03-27	636	CHICAGO Wolves	4	TORONTO Marlies	1	L				Sommaire du Match
72 - 2021-03-29	650	TORONTO Marlies	2	PROVIDENCE Bruins	4	L				Sommaire du Match
73 - 2021-03-30	659	TORONTO Marlies	10	SAN DIEGO Gulls	0	W				Sommaire du Match
75 - 2021-04-01	673	SAN DIEGO Gulls	2	TORONTO Marlies	6	W				Sommaire du Match
77 - 2021-04-03	691	MILWAUKEE Admirals	3	TORONTO Marlies	0	L				Sommaire du Match
78 - 2021-04-04	704	TORONTO Marlies	11	SAN DIEGO Gulls	2	W				Sommaire du Match
80 - 2021-04-06	716	MILWAUKEE Admirals	3	TORONTO Marlies	2	L	X			Sommaire du Match
81 - 2021-04-07	732	MANITOBA Moose	3	TORONTO Marlies	2	L	X	X		Sommaire du Match
82 - 2021-04-08	740	TORONTO Marlies	1	SCRANTON Penguins	3	L				Sommaire du Match
83 - 2021-04-09	747	TORONTO Marlies	3	HERSEY Bears	4	L	X	X		Sommaire du Match
85 - 2021-04-11	765	SAN DIEGO Gulls	1	TORONTO Marlies	10	W				Sommaire du Match
87 - 2021-04-13	781	TORONTO Marlies	3	PROVIDENCE Bruins	4	L				Sommaire du Match
88 - 2021-04-14	792	BRIDGEPORT Sound Tigers	2	TORONTO Marlies	3	W	X	X		Sommaire du Match
89 - 2021-04-15	804	TORONTO Marlies	3	TUSCON Roadrunners	4	L	X	X		Sommaire du Match
92 - 2021-04-18	818	ONTARIO Reign	5	TORONTO Marlies	4	L	X			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
94 - 2021-04-20	837	BAKERSFIELD Condors	-	TORONTO Marlies	-
95 - 2021-04-21	849	TORONTO Marlies	-	SYRACUSE Crunch	-
96 - 2021-04-22	862	PROVIDENCE Bruins	-	TORONTO Marlies	-
98 - 2021-04-24	880	TORONTO Marlies	-	SAN ANTONIO Rampage	-
99 - 2021-04-25	886	TORONTO Marlies	-	ONTARIO Reign	-
100 - 2021-04-26	897	BINGHAMTON Devils	-	TORONTO Marlies	-
102 - 2021-04-28	914	BELLEVILLE Senators	-	TORONTO Marlies	-
103 - 2021-04-29	924	TORONTO Marlies	-	SAN ANTONIO Rampage	-
105 - 2021-05-01	940	UTICA Comets	-	TORONTO Marlies	-
106 - 2021-05-02	954	TORONTO Marlies	-	BAKERSFIELD Condors	-
108 - 2021-05-04	966	BELLEVILLE Senators	-	TORONTO Marlies	-
110 - 2021-05-06	987	TORONTO Marlies	-	UTICA Comets	-
111 - 2021-05-07	992	HERSEY Bears	-	TORONTO Marlies	-
112 - 2021-05-08	1000	TORONTO Marlies	-	BINGHAMTON Devils	-
113 - 2021-05-09	1012	TORONTO Marlies	-	IOWA Wild	-
115 - 2021-05-11	1023	HERSEY Bears	-	TORONTO Marlies	-
116 - 2021-05-12	1028	TORONTO Marlies	-	BINGHAMTON Devils	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
8	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,563,493$	2,047,500$	1,980,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,563,493$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	25	17,352$	433,800$

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
34	80	27	37	0	2	8	4	2	219	258	-39	40	9	18	0	1	7	4	1	105	133	-28	40	18	19	0	1	1	0	1	114	125	-11	76	219	367	586	2	2	68	85	60	9	2419	780	835	794	37	2914	838	550	1478	265	49	18.49%	247	54	78.14%	2	1015	2485	40.85%	1116	2939	37.97%	474	1189	39.87%	1809	1293	2106	559	942	452
34	80	27	37	0	2	8	4	2	219	258	-39	40	9	18	0	1	7	4	1	105	133	-28	40	18	19	0	1	1	0	1	114	125	-11	76	219	367	586	2	2	68	85	60	9	2419	780	835	794	37	2914	838	550	1478	265	49	18.49%	247	54	78.14%	2	1015	2485	40.85%	1116	2939	37.97%	474	1189	39.87%	1809	1293	2106	559	942	452
36	63	17	36	0	0	5	1	4	202	226	-24	32	8	19	0	0	2	1	2	98	121	-23	31	9	17	0	0	3	0	2	104	105	-1	45	202	299	501	2	3	95	61	45	1	1824	601	568	648	25	2900	879	325	1168	167	22	13.17%	141	42	70.21%	0	409	1502	27.23%	604	2710	22.29%	248	975	25.44%	1153	823	1990	417	674	301
Total Saison Régulière	223	71	110	0	4	21	9	8	640	742	-102	112	26	55	0	2	16	9	4	308	387	-79	111	45	55	0	2	5	0	4	332	355	-23	197	640	1033	1673	6	7	231	231	165	19	6662	2161	2238	2236	99	8728	2555	1425	4124	697	120	17.22%	635	150	76.38%	4	2439	6472	37.69%	2836	8588	33.02%	1196	3353	35.67%	4773	3411	6202	1537	2559	1207

	TORONTO Marlies
	GP: 63 \| W: 18 \| L: 36 \| OTL: 9 \| P: 45 GF: 202 \| GA: 226 \| PP%: 13.17% \| PK%: 70.21% DG: Benoit Paulin \| Morale : 99 \| Moyenne d'Équipe : 65 Prochain matchs #837 vs BAKERSFIELD Condors