Ligue Canadienne de Hockey Simulé

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Stats d'équipe en Carrière

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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	67	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	79	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	70	72	0	23	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	68	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	59	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	65	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	68	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	67	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	51	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	51	67	0	25	2	759,167$
11	Trevor Moore (R)	X				100.00	63	39	87	66	67	75	72	72	71	68	67	69	66	69	65	42	55	66	0	26	2	775,000$
12	Morgan Geekie (R)			X		100.00	63	46	88	64	82	79	75	70	74	67	69	71	64	63	61	67	63	66	0	22	3	763,333$
13	Steven Santini (R)				X	100.00	80	41	84	64	77	72	92	78	30	75	72	92	53	68	63	70	62	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	42	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	57	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	47	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	56	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	63	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	23	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	50	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	70	82	0
2	Garret Sparks (R)	100.00	85	71	89	87	86	88	90	89	87	84	75	65	70	45	69	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	53	81

Nom du Coach	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	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
1	Nico Hischier	Maple Leafs (TOR)	C	78	43	69	112	3	38	10	136	197	274	77	167	15.69%	37	1573	20.18	11	21	32	44	229	2	3	5	12	242	5	1	52.68%	1828	71	30	0	3	1.42	1	3	1	1	0	10	4	2
2	Justin Shugg	Maple Leafs (TOR)	RW	81	33	58	91	6	126	40	184	120	275	77	140	12.00%	22	1591	19.65	10	18	28	46	231	1	2	3	7	217	4	2	42.06%	107	49	24	0	0	1.14	1	4	3	0	5	3	6	4
3	Nick Cousins	Maple Leafs (TOR)	C	81	19	48	67	11	35	5	133	175	194	57	134	9.79%	18	1285	15.87	3	10	13	21	160	0	1	1	1	4	2	0	51.82%	1235	44	28	0	0	1.04	1	1	0	0	1	2	5	2
4	Miikka Salomaki	Maple Leafs (TOR)	RW	81	29	37	66	3	67	5	206	110	230	69	155	12.61%	21	1322	16.32	2	8	10	18	186	0	0	0	0	12	4	1	42.50%	80	47	12	0	0	1.00	0	2	1	0	0	3	3	4
5	Anthony Beauvillier	Maple Leafs (TOR)	LW	81	32	20	52	-2	18	10	118	107	170	43	91	18.82%	38	1480	18.28	6	7	13	26	232	3	0	3	13	112	7	0	41.98%	131	33	25	1	0	0.70	1	3	0	1	1	3	2	3
6	Chandler Stephenson	Maple Leafs (TOR)	C	81	16	31	47	-11	21	5	93	165	184	57	114	8.70%	33	1239	15.30	1	1	2	4	41	0	0	0	1	33	2	2	49.37%	1197	29	26	0	0	0.76	0	0	0	0	1	2	1	2
7	Anton Slepyshev	Maple Leafs (TOR)	LW	81	19	27	46	-5	21	5	103	92	236	80	169	8.05%	26	1240	15.31	0	0	0	1	15	1	0	1	5	61	1	1	38.24%	68	51	17	0	1	0.74	0	0	0	0	1	2	3	0
8	Josh Archibald	Maple Leafs (TOR)	LW	75	21	24	45	3	10	0	133	91	157	43	91	13.38%	37	1289	17.19	4	2	6	24	171	0	1	1	1	83	4	3	44.44%	54	38	23	0	0	0.70	0	1	0	0	0	0	1	5
9	Brandon Gormley	Maple Leafs (TOR)	D	81	2	33	35	-11	5	5	24	150	122	42	46	1.64%	74	1390	17.16	0	1	1	2	22	0	2	2	0	83	0	0	0.00%	0	27	41	0	0	0.50	0	0	0	1	0	0	0	0
10	Jake Dotchin	Maple Leafs (TOR)	D	62	11	23	34	-4	73	15	158	115	102	43	45	10.78%	82	1382	22.29	5	3	8	12	162	0	0	0	3	157	0	0	0.00%	0	33	32	0	0	0.49	0	0	1	1	1	0	2	4
11	Matt Roy	Maple Leafs (TOR)	D	81	5	28	33	-3	31	5	131	140	85	33	37	5.88%	122	1753	21.65	1	2	3	13	194	0	0	0	3	189	0	1	0.00%	0	15	53	0	0	0.38	0	0	0	0	0	0	4	0
12	Cam Barker	Maple Leafs	D	11	25	7	32	11	2	0	1	10	61	32	28	40.98%	6	268	24.43	6	1	7	18	62	1	0	1	2	40	3	1	0.00%	0	23	3	0	6	2.38	0	0	0	0	0	4	3	0
13	Steven Santini	Maple Leafs (TOR)	D	79	4	25	29	-3	67	15	128	145	111	47	51	3.60%	134	1836	23.25	2	6	8	25	245	0	2	2	2	237	0	0	0.00%	0	17	69	0	0	0.32	0	1	1	1	1	0	0	1
14	Tage Thompson	Maple Leafs (TOR)	RW	77	11	7	18	-5	14	0	101	64	108	35	83	10.19%	18	1041	13.52	0	0	0	0	5	0	0	0	1	4	2	1	40.63%	64	23	16	0	0	0.35	1	1	0	0	0	0	1	3
15	Christoffer Ehn	Maple Leafs (TOR)	LW	77	8	10	18	-17	12	0	66	73	87	32	58	9.20%	23	705	9.16	0	0	0	2	7	0	1	1	4	71	1	1	39.02%	41	10	15	1	0	0.51	0	0	0	0	0	1	0	1
16	Slater Koekkoek	Maple Leafs (TOR)	D	71	1	14	15	-4	67	5	106	107	65	24	24	1.54%	85	1393	19.63	0	3	3	4	114	0	0	0	4	107	0	0	0.00%	0	10	42	0	0	0.22	0	2	0	0	1	0	0	1
17	Trevor Moore	Maple Leafs (TOR)	C	81	5	9	14	-12	14	0	23	53	86	36	72	5.81%	10	625	7.72	0	0	0	0	0	0	0	0	0	4	0	1	49.23%	323	24	2	0	0	0.45	0	1	0	0	0	1	1	1
18	Josh Brown	Maple Leafs (TOR)	D	72	1	12	13	0	55	5	140	88	32	12	18	3.13%	49	1196	16.62	0	0	0	0	14	0	0	0	0	17	0	0	0.00%	0	9	37	0	0	0.22	0	0	1	0	0	0	0	0
19	Morgan Geekie	Maple Leafs (TOR)	RW	78	6	5	11	-12	19	5	35	40	98	29	50	6.12%	7	656	8.42	0	0	0	0	1	0	0	0	0	4	1	0	28.00%	25	12	8	0	0	0.34	0	0	1	0	0	0	1	0
20	Oscar Fantenberg	Maple Leafs (TOR)	D	26	0	4	4	-1	4	0	38	48	13	3	16	0.00%	30	495	19.06	0	1	1	0	39	0	0	0	0	28	0	0	0.00%	0	5	14	0	0	0.16	0	0	0	0	0	0	0	0
21	Filip Chlapik	Maple Leafs (TOR)	C	18	1	1	2	2	0	0	7	11	10	3	6	10.00%	3	124	6.92	0	0	0	0	0	0	0	0	0	3	0	0	37.50%	24	2	0	0	0	0.32	0	0	0	0	0	0	0	0
22	Ryan Lindgren	Maple Leafs (TOR)	D	3	0	1	1	-5	0	0	9	2	2	0	1	0.00%	2	48	16.20	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.41	0	0	0	0	0	0	0	0
23	Morgan Frost	Maple Leafs (TOR)	C	2	0	0	0	0	0	0	1	0	0	0	0	0.00%	0	3	1.68	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1458	292	493	785	-56	699	135	2074	2103	2702	874	1596	10.81%	877	23945	16.42	51	84	135	260	2140	8	12	20	59	1718	36	15	50.13%	5177	572	518	2	10	0.66	5	19	9	5	12	31	37	33

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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	Garret Sparks	Maple Leafs (TOR)	60	25	23	5	0.882	3.64	3129	2	3	190	1604	687	1	2	0.714	7	56	25	4	1	1
2	Marek Mazanec	Maple Leafs (TOR)	36	13	13	2	0.884	3.78	1761	0	0	111	956	418	2	0	0.700	10	25	56	3	1	1
Stats d'équipe Total ou en Moyenne			96	38	36	7	0.882	3.69	4890	2	3	301	2560	1105	3	2	0.706	17	81	81	7	2	2

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
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$

	Maple Leafs
	GP: 81 \| W: 38 \| L: 36 \| OTL: 7 \| P: 83 GF: 294 \| GA: 305 \| PP%: 19.25% \| PK%: 81.18% DG: Benoit Labelle \| Morale : 59 \| Moyenne d'Équipe : 70 Prochain matchs #981 vs Senateurs