Ligue Canadienne de Hockey Simulé

Maple Leafs
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Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Centre de jeu
	Canadiens 7-5-0, 14pts	6	FINAL	5	Maple Leafs 1-4-0, 2pts

Team Stats
L2	Streak	OTL2
4-3-0	Home Record	0-2-0
3-2-0	Away Record	1-2-0
6-4-0	Last 10 Games	1-2-2
4.00	Goals Per Game	3.20
3.83	Goals Against Per Game	4.20
23.81%	Power Play Percentage	35.00%
60.47%	Penalty Kill Percentage	77.78%

Maple Leafs
1-4-0, 2pts

FINAL

Canadiens
7-5-0, 14pts

Team Stats
OTL2	Streak	L2
0-2-0	Home Record	4-3-0
1-2-0	Away Record	3-2-0
1-2-2	Last 10 Games	6-4-0
3.20	Goals Per Game	4.00
4.20	Goals Against Per Game	3.83
35.00%	Power Play Percentage	23.81%
77.78%	Penalty Kill Percentage	60.47%

Meneurs d'équipe




	Victoires Garret Sparks 1	Pourcentage d’arrêts Garret Sparks 0.897

Statistiques d’équipe
Buts pour 16 3.20 GFG	Tirs pour 153 30.60 Avg	Pourcentage en avantage numérique 35.0% 7 GF	Début de zone offensive 35.3%
Buts contre 21 4.20 GAA	Tirs contre 202 40.40 Avg	Pourcentage en désavantage numérique 77.8% 8 GA	Début de la zone défensive 44.0%

Information d’équipe
	Directeur général	Benoit Labelle
	Entraîneur	Craig Ramsey
	Division	Atlantique
	Conférence	Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	3,000
	Billets de saison	2,100
Information formation
	Équipe Pro	27
	Équipe Mineure	19
	Limite contact	46 / 60
	Espoirs	27

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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	Nico Hischier (R)	X				100.00	69	47	79	81	71	80	98	99	82	96	84	70	53	72	56	90	62	78	0	22	1	3,775,000$
2	Justin Shugg (R)			X		100.00	63	53	62	64	73	74	86	88	60	94	76	69	61	76	73	51	74	73	0	29	1	900,000$
3	Anthony Beauvillier (R)		X			100.00	77	42	90	76	69	82	88	78	56	74	78	70	74	65	66	80	66	72	0	24	3	800,000$
4	Miikka Salomaki (R)			X		100.00	86	49	70	67	74	72	74	75	58	72	69	81	66	72	71	45	63	70	0	28	1	900,000$
5	Josh Archibald (R)		X			100.00	89	41	89	65	66	74	83	70	55	68	71	89	66	74	67	42	54	70	0	28	3	600,000$
6	Chandler Stephenson (R)	X				100.00	62	43	88	66	76	78	83	72	76	70	66	86	65	71	68	62	50	69	0	27	2	575,000$
7	Nick Cousins (R)	X				100.00	80	39	80	68	69	74	87	73	75	76	65	75	69	73	67	56	64	69	0	27	1	700,000$
8	Anton Slepyshev (R)		X			100.00	68	38	86	67	80	70	68	76	53	73	70	69	54	76	59	55	62	68	0	27	2	575,000$
9	Tage Thompson (R)			X		100.00	72	45	88	66	95	72	69	71	57	67	66	72	67	65	62	80	46	67	0	23	1	1,137,500$
10	Christoffer Ehn (R)		X			100.00	76	41	84	63	82	73	85	69	74	66	64	75	62	67	64	59	47	67	0	25	2	759,167$
11	Morgan Geekie (R)			X		100.00	63	46	88	64	82	79	75	70	74	67	69	71	64	63	61	67	58	66	0	22	3	763,333$
12	Trevor Moore (R)	X				100.00	63	39	87	66	67	75	72	72	71	68	67	69	66	69	65	42	40	65	0	26	2	775,000$
13	Steven Santini (R)				X	100.00	80	41	84	64	77	72	92	78	30	75	72	92	53	68	63	70	57	74	0	26	3	1,000,000$
14	Jake Dotchin (R)				X	100.00	86	50	73	62	78	78	76	81	23	77	78	79	53	70	56	46	38	71	0	27	3	700,000$
15	Matt Roy (R)				X	100.00	83	39	89	65	77	83	76	71	30	78	64	82	52	69	65	46	53	71	0	26	2	700,000$
16	Slater Koekkoek (R)				X	100.00	78	43	77	66	79	81	72	72	30	75	59	80	50	71	67	82	42	70	0	27	1	575,000$
17	Brandon Gormley (R)				X	100.00	52	28	99	70	76	55	59	85	25	79	67	80	60	87	83	59	52	69	0	29	2	800,000$
18	Josh Brown (R)				X	100.00	82	65	72	63	93	79	80	69	30	67	61	72	50	71	67	48	58	69	0	27	2	675,000$
Rayé
1	Filip Chlapik (R)	X				100.00	67	46	86	63	79	74	75	68	68	66	67	69	63	65	64	72	20	65	0	24	1	894,167$
2	Morgan Frost (R)	X				100.00	55	41	89	67	66	78	70	71	74	69	64	65	69	61	63	80	20	64	0	22	3	863,333$
3	Oscar Fantenberg (R)				X	100.00	82	43	88	63	76	84	76	68	30	68	59	79	50	77	69	46	20	70	0	29	1	650,000$
4	Aaron Johnson				X	100.00	74	38	92	64	75	59	74	71	49	68	55	69	57	99	98	1	19	68	0	38	1	600,000$
5	Ryan Lindgren (R)				X	100.00	69	48	78	65	73	79	72	70	30	68	59	73	50	63	65	73	20	66	0	23	2	925,000$
6	Jakub Jerabek (R)				X	100.00	62	42	83	63	75	67	74	70	30	71	66	68	51	66	53	35	20	64	0	30	1	575,000$

	MOYENNE D’ÉQUIPE					100.00	72	44	83	66	76	75	78	74	52	73	67	75	59	71	66	58	46	69

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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	Marek Mazanec (R)	100.00	78	85	75	81	79	88	88	90	90	79	78	85	80	35	65	82	0
2	Garret Sparks (R)	100.00	85	71	89	87	86	88	90	89	87	84	75	65	70	45	64	82	0
Rayé
1	Tobias Stephan	100.00	78	40	74	79	78	91	91	91	91	75	78	99	99	56	19	79	0

	MOYENNE D’ÉQUIPE	100.00	80	65	79	82	81	89	90	90	89	79	77	83	83	45	49	81

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Ramsey	56	40	55	56	96	71	62	USA	69	1	350,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S3
1	Miikka Salomaki	Maple Leafs (TOR)	RW	5	4	2	6	4	6	16	11	15	5	9	26.67%	2	74	14.99	2	1	3	4	10	0	0	1	33.33%	3	1	0	1.60	1	0
2	Nick Cousins	Maple Leafs (TOR)	C	5	2	4	6	4	10	13	12	14	7	4	14.29%	4	77	15.51	1	2	3	4	10	0	0	0	45.33%	75	0	2	1.55	0	1
3	Nico Hischier	Maple Leafs (TOR)	C	5	0	6	6	-5	0	14	25	11	8	12	0.00%	2	115	23.01	0	3	3	3	14	2	32	0	56.79%	162	3	1	1.04	0	0
4	Justin Shugg	Maple Leafs (TOR)	RW	5	3	2	5	-5	6	15	10	17	6	9	17.65%	4	111	22.25	0	2	2	1	14	3	29	0	45.45%	11	7	4	0.90	0	1
5	Steven Santini	Maple Leafs (TOR)	D	5	2	1	3	-2	6	10	10	7	1	2	28.57%	5	128	25.73	2	0	2	4	14	0	32	0	0.00%	0	5	6	0.47	0	0
6	Matt Roy	Maple Leafs (TOR)	D	5	1	2	3	-2	2	3	11	5	1	4	20.00%	6	110	22.10	1	1	2	1	10	0	19	0	0.00%	0	0	2	0.54	0	0
7	Slater Koekkoek	Maple Leafs (TOR)	D	5	0	2	2	-1	8	11	8	7	3	0	0.00%	5	109	21.97	0	1	1	1	9	0	18	0	0.00%	0	1	2	0.36	0	0
8	Josh Archibald	Maple Leafs (TOR)	LW	5	1	1	2	4	0	8	5	10	4	9	10.00%	0	91	18.37	0	1	1	1	10	2	16	0	40.00%	5	0	2	0.44	0	1
9	Josh Brown	Maple Leafs (TOR)	D	5	0	2	2	0	12	11	5	2	0	1	0.00%	2	76	15.24	0	0	0	0	0	0	0	0	0.00%	0	1	1	0.53	0	0
10	Jake Dotchin	Maple Leafs (TOR)	D	5	0	1	1	-2	8	18	17	5	1	2	0.00%	5	129	25.88	0	0	0	2	15	1	32	0	0.00%	0	3	5	0.15	0	0
11	Anton Slepyshev	Maple Leafs (TOR)	LW	5	1	0	1	-2	2	5	5	18	4	11	5.56%	0	76	15.38	0	0	0	1	0	0	7	0	50.00%	2	4	2	0.26	0	0
12	Chandler Stephenson	Maple Leafs (TOR)	C	5	0	1	1	-2	0	5	12	3	2	6	0.00%	1	62	12.59	0	0	0	0	0	0	0	0	42.31%	52	1	1	0.32	0	0
13	Brandon Gormley	Maple Leafs (TOR)	D	5	0	1	1	-1	0	0	5	10	1	1	0.00%	2	84	16.82	0	1	1	0	0	0	8	0	0.00%	0	4	3	0.24	0	0
14	Anthony Beauvillier	Maple Leafs (TOR)	LW	5	1	0	1	-4	0	8	3	6	0	3	16.67%	1	94	18.92	1	0	1	1	14	0	16	0	0.00%	11	1	1	0.21	0	0
15	Trevor Moore	Maple Leafs (TOR)	C	5	1	0	1	-1	2	5	2	4	0	2	25.00%	2	34	6.93	0	0	0	0	0	0	0	0	50.00%	16	1	0	0.58	0	0
16	Christoffer Ehn	Maple Leafs (TOR)	LW	5	0	1	1	-1	2	3	1	5	2	4	0.00%	1	49	9.90	0	0	0	0	0	1	8	0	33.33%	12	0	2	0.40	0	0
17	Morgan Geekie	Maple Leafs (TOR)	RW	5	0	1	1	-1	2	4	2	3	1	1	0.00%	0	34	6.85	0	0	0	0	0	0	0	0	0.00%	2	0	1	0.58	0	0
18	Tage Thompson	Maple Leafs (TOR)	RW	5	0	0	0	-2	6	8	7	11	1	3	0.00%	1	68	13.65	0	0	0	0	0	0	0	0	16.67%	6	1	1	0.00	0	0
Statistiques d’équipe totales ou en moyenne				90	16	27	43	-19	72	157	151	153	47	83	10.46%	43	1530	17.00	7	12	19	23	125	9	224	1	47.62%	357	33	36	0.56	1	3

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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	GA	SA	SAR	ST	BG
1	Garret Sparks	Maple Leafs (TOR)	4	1	2	1	0.897	4.09	220	15	145	68	4	1
2	Marek Mazanec	Maple Leafs (TOR)	2	0	0	1	0.895	3.71	97	6	57	25	1	4
Statistiques d’équipe totales ou en moyenne			6	1	2	2	0.896	3.96	318	21	202	93	5	5

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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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3
Aaron Johnson	Maple Leafs (TOR)	D	38	1983-04-30 23:11:13	No	199 Lbs	6 ft0	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Anthony Beauvillier	Maple Leafs (TOR)	LW	24	1997-06-08 09:20:29	Yes	182 Lbs	5 ft11	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$
Anton Slepyshev	Maple Leafs (TOR)	LW	27	1994-05-13 17:11:13	Yes	221 Lbs	6 ft2	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Brandon Gormley	Maple Leafs (TOR)	D	29	1992-02-18 05:11:13	Yes	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$
Chandler Stephenson	Maple Leafs (TOR)	C	27	1994-04-22 17:11:13	Yes	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Christoffer Ehn	Maple Leafs (TOR)	LW	25	1996-04-05 04:17:35	Yes	181 Lbs	6 ft3	No	No	No	2	Pro & Farm	759,167$	0$	0$	No	759,167$
Filip Chlapik	Maple Leafs (TOR)	C	24	1997-06-03 09:43:38	Yes	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,167$	0$	0$	No
Garret Sparks	Maple Leafs (TOR)	G	28	1993-06-28 06:27:33	Yes	201 Lbs	6 ft3	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$
Jake Dotchin	Maple Leafs (TOR)	D	27	1994-03-24 09:44:28	Yes	212 Lbs	6 ft3	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Jakub Jerabek	Maple Leafs (TOR)	D	30	1991-05-12 06:19:24	Yes	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Josh Archibald	Maple Leafs (TOR)	LW	28	1992-10-06 09:24:42	Yes	176 Lbs	5 ft10	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$
Josh Brown	Maple Leafs (TOR)	D	27	1994-01-21 08:08:57	Yes	215 Lbs	6 ft5	No	No	No	2	Pro & Farm	675,000$	0$	0$	No	675,000$
Justin Shugg	Maple Leafs (TOR)	RW	29	1991-12-24 23:11:13	Yes	197 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Marek Mazanec	Maple Leafs (TOR)	G	29	1991-07-18 23:11:14	Yes	192 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Matt Roy	Maple Leafs (TOR)	D	26	1995-03-01 03:45:28	Yes	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Miikka Salomaki	Maple Leafs (TOR)	RW	28	1993-03-09 11:11:13	Yes	203 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Morgan Frost	Maple Leafs (TOR)	C	22	1999-05-14 10:30:46	Yes	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$
Morgan Geekie	Maple Leafs (TOR)	RW	22	1998-07-20 10:28:04	Yes	192 Lbs	6 ft3	No	No	No	3	Pro & Farm	763,333$	0$	0$	No	763,333$	763,333$
Nick Cousins	Maple Leafs (TOR)	C	27	1993-07-20 11:11:13	Yes	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Nico Hischier	Maple Leafs (TOR)	C	22	1999-01-04 09:46:34	Yes	175 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,775,000$	0$	0$	No
Oscar Fantenberg	Maple Leafs (TOR)	D	29	1991-10-07 06:02:17	Yes	206 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	0$	0$	No
Ryan Lindgren	Maple Leafs (TOR)	D	23	1998-02-11 06:04:12	Yes	201 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Slater Koekkoek	Maple Leafs (TOR)	D	27	1994-02-18 17:11:13	Yes	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Steven Santini	Maple Leafs (TOR)	D	26	1995-03-07 09:26:46	Yes	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$
Tage Thompson	Maple Leafs (TOR)	RW	23	1997-10-30 09:40:43	Yes	205 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,137,500$	0$	0$	No
Tobias Stephan	Maple Leafs (TOR)	G	37	1984-01-21 05:11:14	No	189 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Trevor Moore	Maple Leafs (TOR)	C	26	1995-03-31 03:58:34	Yes	182 Lbs	5 ft10	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
27	27.04	196 Lbs	6 ft1	1.78	889,537$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anthony Beauvillier	Nico Hischier	Justin Shugg	30	1	2	2
2	Josh Archibald	Nick Cousins	Miikka Salomaki	30	1	2	2
3	Anton Slepyshev	Chandler Stephenson	Tage Thompson	30	1	2	2
4	Christoffer Ehn	Trevor Moore	Morgan Geekie	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Steven Santini	Jake Dotchin	34	1	2	2
2	Matt Roy	Slater Koekkoek	34	1	2	2
3	Josh Brown	Brandon Gormley	32	1	2	2
4	Steven Santini	Jake Dotchin	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anthony Beauvillier	Nico Hischier	Justin Shugg	60	1	2	2
2	Josh Archibald	Nick Cousins	Miikka Salomaki	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Steven Santini	Jake Dotchin	60	1	2	2
2	Matt Roy	Slater Koekkoek	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nico Hischier	Justin Shugg	60	1	2	2
2	Anthony Beauvillier	Josh Archibald	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Steven Santini	Jake Dotchin	60	1	2	2
2	Matt Roy	Slater Koekkoek	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nico Hischier	60	1	2	2	Steven Santini	Jake Dotchin	60	1	2	2
2	Justin Shugg	40	1	2	2	Matt Roy	Slater Koekkoek	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nico Hischier	Justin Shugg	60	1	2	2
2	Anthony Beauvillier	Josh Archibald	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Steven Santini	Jake Dotchin	60	1	2	2
2	Matt Roy	Slater Koekkoek	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anthony Beauvillier	Nico Hischier	Justin Shugg	Steven Santini	Jake Dotchin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anthony Beauvillier	Nico Hischier	Justin Shugg	Steven Santini	Jake Dotchin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chandler Stephenson, Anton Slepyshev, Christoffer Ehn	Chandler Stephenson, Anton Slepyshev	Christoffer Ehn

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Josh Brown, Brandon Gormley, Matt Roy	Josh Brown	Brandon Gormley, Matt Roy

Tirs de pénalité
Nico Hischier, Justin Shugg, Anthony Beauvillier, Josh Archibald, Miikka Salomaki

Gardien
#1 : Garret Sparks, #2 : Marek Mazanec

Lignes d’attaque personnalisées en prolongation
Nico Hischier, Justin Shugg, Anthony Beauvillier, Josh Archibald, Miikka Salomaki, Nick Cousins, Nick Cousins, Chandler Stephenson, Anton Slepyshev, Christoffer Ehn, Tage Thompson

Lignes de défense personnalisées en prolongation
Steven Santini, Jake Dotchin , Matt Roy, Slater Koekkoek, Josh Brown

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

	Total												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	Canadiens	5	1	4	0	0	0	0	0	16	21	-5	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	9	12	-3	2	0.200	16	27	43	0	0	2	7	7	0	153	55	44	40	14	202	43	72	157	20	7	35.00%	36	8	77.78%	0	53	126	42.06%	82	157	52.23%	35	74	47.30%	103	55	125	51	90	42
	Total	5	1	4	0	0	0	0	0	16	21	-5	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	9	12	-3	2	0.200	16	27	43	0	0	2	7	7	0	153	55	44	40	14	202	43	72	157	20	7	35.00%	36	8	77.78%	0	53	126	42.06%	82	157	52.23%	35	74	47.30%	103	55	125	51	90	42
	_Since Last GM Reset	5	1	4	0	0	0	0	0	16	21	-5	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	9	12	-3	2	0.200	16	27	43	0	0	2	7	7	0	153	55	44	40	14	202	43	72	157	20	7	35.00%	36	8	77.78%	0	53	126	42.06%	82	157	52.23%	35	74	47.30%	103	55	125	51	90	42
	_Vs Conference	5	1	4	0	0	0	0	0	16	21	-5	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	9	12	-3	2	0.200	16	27	43	0	0	2	7	7	0	153	55	44	40	14	202	43	72	157	20	7	35.00%	36	8	77.78%	0	53	126	42.06%	82	157	52.23%	35	74	47.30%	103	55	125	51	90	42
	_Vs Division	5	1	4	0	0	0	0	0	16	21	-5	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	9	12	-3	2	0.200	16	27	43	0	0	2	7	7	0	153	55	44	40	14	202	43	72	157	20	7	35.00%	36	8	77.78%	0	53	126	42.06%	82	157	52.23%	35	74	47.30%	103	55	125	51	90	42

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
5	2	OTL2	16	27	43	153	202	43	72	157	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	16	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	7	9

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	12

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	2	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
20	7	35.00%	36	8	77.78%	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
55	44	40	14	2	7	7	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
53	126	42.06%	82	157	52.23%	35	74	47.30%

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
103	55	125	51	90	42

Derniers matchs 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	RI	Lien
1 - 2020-12-17	2	Maple Leafs	1	Canadiens	4	L		R5	Sommaire du match
3 - 2020-12-19	10	Maple Leafs	4	Canadiens	3	W			Sommaire du match
5 - 2020-12-21	18	Canadiens	3	Maple Leafs	2	L		R5	Sommaire du match
7 - 2020-12-23	26	Canadiens	6	Maple Leafs	5	L	X		Sommaire du match
9 - 2020-12-25	34	Maple Leafs	4	Canadiens	5	L	X	R5	Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	35	25
Assistance	4,000	2,000
Assistance PCT	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	3000 - 100.00%	128,250$	256,500$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs
0$	2,401,750$	1,581,750$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Afficher ou masquer des colonnes

	Total											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

	Maple Leafs
	GP: 5 \| W: 1 \| L: 4 GF: 16 \| GA: 21 \| PP%: 35.00% \| PK%: 77.78% DG: Benoit Labelle \| Morale : 13 \| Moyenne d’équipe : 70