Ligue Canadienne de Hockey Simulé

Rangers
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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	Jiri Sekac (R)			X		100.00	94	63	47	74	73	47	56	98	59	95	86	63	61	80	77	40	38	74	0	28	1	700,000$
2	Tyler Bertuzzi (R)			X		100.00	67	44	74	75	73	82	86	87	60	84	81	78	67	65	67	63	28	74	0	26	3	1,250,000$
3	Nick Ritchie (R)		X			100.00	79	35	63	72	82	81	92	89	61	88	79	68	60	70	63	81	33	74	0	25	2	1,500,000$
4	Lawson Crouse (R)		X			100.00	96	61	73	68	90	73	88	73	58	70	70	83	68	65	66	84	28	71	0	23	3	800,000$
5	Sean Kuraly (R)	X				100.00	85	48	79	65	83	74	85	71	84	77	74	82	63	73	67	49	36	71	0	28	3	800,000$
6	Paul Carey (R)	X				100.00	62	45	88	63	77	76	74	67	67	75	73	71	63	80	78	46	22	68	0	32	2	575,000$
7	Blake Lizotte (R)	X				100.00	61	38	84	68	62	76	84	73	77	77	63	79	64	65	63	42	23	68	0	23	3	925,000$
8	Joel L'Esperance (R)			X		100.00	59	35	71	69	77	56	59	76	71	74	72	78	54	54	53	40	32	66	0	25	2	722,500$
9	Dryden Hunt (R)		X			100.00	68	43	84	63	73	80	78	69	57	75	66	70	62	69	65	52	25	66	0	25	2	715,000$
10	Valentin Zykov (R)		X			100.00	64	45	82	63	78	80	75	69	53	67	66	69	64	69	65	73	24	65	0	26	3	575,000$
11	Jayce Hawryluk (R)			X		100.00	71	42	79	64	72	77	71	70	59	68	65	68	63	67	64	75	41	65	0	25	2	925,000$
12	Janne Kuokkanen (R)	X				100.00	61	43	89	64	76	77	74	70	58	68	67	67	64	63	61	74	34	65	0	22	1	925,000$
13	Adam Pelech (R)				X	100.00	78	35	76	66	82	83	94	78	30	82	78	93	55	69	59	61	32	75	0	26	2	1,500,000$
14	Gustav Forsling (R)				X	100.00	54	36	89	68	72	75	88	73	30	72	71	82	53	70	59	54	26	69	0	24	3	600,000$
15	Kurtis MacDermid (R)				X	100.00	79	61	75	63	96	78	73	69	30	70	61	75	50	71	66	42	23	69	0	27	1	575,000$
16	Chad Ruhwedel (R)				X	100.00	76	39	84	60	71	78	67	66	30	70	73	76	48	78	69	36	36	67	0	31	3	575,000$
17	Joakim Ryan (R)				X	100.00	67	42	85	64	69	80	71	74	30	75	66	73	48	73	67	42	22	67	0	27	1	650,000$
18	Gabriel Carlsson (R)				X	100.00	65	45	84	61	88	82	78	66	30	64	60	67	51	65	63	79	23	65	0	24	3	575,000$
Rayé
1	Mark McNeill (R)			X		100.00	71	50	62	60	78	58	67	84	83	70	64	65	61	70	62	34	18	65	0	28	2	575,000$
2	Keegan Kolesar (R)			X		100.00	67	49	88	61	86	77	73	67	57	65	61	69	58	65	63	66	20	64	0	24	3	702,500$
3	Noah Gregor (R)	X				100.00	68	41	88	64	71	73	66	69	70	67	62	70	64	63	62	65	20	64	0	22	3	768,333$
4	Jakob Forsbacka Karlsson (R)	X				100.00	56	35	75	68	73	61	64	73	69	67	63	74	57	52	51	72	14	63	0	24	3	575,000$
5	Adam Brooks (R)	X				100.00	57	41	89	62	67	76	75	68	57	66	63	65	63	67	64	61	20	63	0	25	3	759,167$
6	David Gustafsson (R)	X				100.00	62	42	90	62	80	64	66	68	72	66	61	70	59	61	62	71	19	63	0	21	3	817,500$
7	Sami Lepisto				X	100.00	89	49	76	65	74	72	79	45	17	44	41	81	45	99	99	48	19	68	0	36	1	800,000$
8	Nick Seeler (R)				X	100.00	68	50	63	62	76	69	84	66	30	66	61	75	54	64	53	53	20	65	0	27	1	725,000$

	MOYENNE D'ÉQUIPE					100.00	70	45	78	65	77	73	76	72	54	72	67	74	58	69	65	58	26	67

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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	Pheonix Copley (R)	98.00	87	75	87	89	88	90	92	91	90	86	52	79	70	35	38	84	0
2	Reto Berra	100.00	77	71	82	86	83	87	87	89	89	87	85	96	88	19	41	83	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	82	73	85	88	86	89	90	90	90	87	69	88	79	27	40	84

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	91	83	69	75	99	82	74	CAN	53	3	750,000$

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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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nick Ritchie	Rangers (NYR)	LW	82	41	53	94	-5	76	10	197	125	311	91	167	13.18%	38	1578	19.25	8	15	23	49	234	1	3	4	6	193	8	1	40.55%	291	72	20	1	1.19	1	9	0	2	0	5	10	2
2	Jiri Sekac	Rangers (NYR)	RW	76	41	45	86	13	182	50	231	76	255	74	147	16.08%	24	1362	17.93	7	11	18	31	170	0	2	2	4	145	5	1	34.43%	122	63	19	0	1.26	1	8	2	3	5	10	2	0
3	Tyler Bertuzzi	Rangers (NYR)	RW	82	31	52	83	-11	52	10	142	141	287	76	190	10.80%	31	1609	19.63	10	15	25	60	224	1	3	4	5	236	1	2	42.18%	339	75	20	0	1.03	0	9	0	1	1	4	3	3
4	Jan Rutta	Rangers	D	73	35	42	77	-1	17	5	61	185	186	95	77	18.82%	76	1731	23.72	13	12	25	43	232	3	2	5	7	250	5	2	0.00%	0	48	48	6	0.89	0	0	0	0	1	8	2	3
5	Sean Kuraly	Rangers (NYR)	C	82	15	41	56	-4	30	10	145	203	118	40	68	12.71%	46	1457	17.78	4	11	15	29	233	2	0	2	5	92	1	4	55.84%	1508	12	29	0	0.77	1	1	1	0	1	2	5	3
6	Lawson Crouse	Rangers (NYR)	LW	81	16	32	48	8	58	20	153	108	122	41	84	13.11%	32	1287	15.90	2	6	8	18	172	0	0	0	0	27	3	1	48.21%	56	23	27	0	0.75	0	2	3	1	0	1	0	2
7	Adam Pelech	Rangers (NYR)	D	82	11	34	45	-3	61	5	187	177	125	38	39	8.80%	120	1949	23.78	4	8	12	21	257	0	1	1	0	262	1	2	0.00%	0	29	73	0	0.46	0	0	0	1	0	0	1	2
8	Blake Lizotte	Rangers (NYR)	C	65	10	35	45	3	8	0	65	114	129	31	54	7.75%	17	995	15.31	0	8	8	11	134	0	0	0	0	0	1	2	52.33%	967	19	20	0	0.90	0	1	0	0	0	0	2	1
9	Joel L'Esperance	Rangers (NYR)	RW	82	22	18	40	-9	82	10	125	95	248	67	136	8.87%	26	1222	14.91	1	0	1	1	16	0	0	0	1	53	0	0	44.19%	86	44	18	0	0.65	0	0	0	1	1	3	2	2
10	Paul Carey	Rangers (NYR)	C	80	16	24	40	0	2	0	95	151	154	42	97	10.39%	25	1205	15.07	0	0	0	2	52	0	0	0	0	13	4	3	52.04%	1176	29	18	0	0.66	0	0	0	0	0	2	2	5
11	Dryden Hunt	Rangers (NYR)	LW	82	13	14	27	-2	20	10	133	94	145	47	93	8.97%	21	1186	14.47	0	0	0	1	6	0	0	0	0	27	2	0	43.04%	79	16	26	0	0.46	0	0	0	2	0	1	1	2
12	Gustav Forsling	Rangers (NYR)	D	79	4	19	23	16	18	0	44	134	68	35	34	5.88%	92	1661	21.03	1	3	4	5	164	0	0	0	1	181	0	0	0.00%	0	34	37	0	0.28	0	0	0	0	0	0	1	0
13	Janne Kuokkanen	Rangers (NYR)	C	72	6	11	17	-1	7	5	55	57	73	18	44	8.22%	15	730	10.15	0	0	0	0	0	0	0	0	2	58	0	0	44.25%	461	10	13	0	0.47	0	1	0	1	0	0	0	1
14	Chad Ruhwedel	Rangers (NYR)	D	82	3	14	17	-6	17	5	102	125	92	33	32	3.26%	92	1398	17.05	0	0	0	0	35	0	0	0	0	44	0	0	0.00%	0	29	44	0	0.24	0	0	1	0	0	0	0	0
15	Joakim Ryan	Rangers (NYR)	D	74	5	9	14	-14	16	0	71	121	60	18	29	8.33%	77	1248	16.88	1	0	1	2	18	0	0	0	1	54	1	1	0.00%	0	19	45	0	0.22	1	1	0	0	0	1	1	0
16	Valentin Zykov	Rangers (NYR)	LW	82	4	7	11	-9	31	5	53	53	71	27	50	5.63%	12	754	9.20	0	0	0	0	1	0	0	0	1	86	0	0	47.37%	19	13	18	0	0.29	0	1	0	1	0	0	1	1
17	Jayce Hawryluk	Rangers (NYR)	RW	68	4	6	10	-6	18	0	77	39	86	22	49	4.65%	21	591	8.70	0	0	0	1	4	0	0	0	0	4	0	0	36.36%	22	9	5	0	0.34	0	0	0	0	0	0	0	0
18	Kurtis MacDermid	Rangers (NYR)	D	67	1	7	8	11	54	20	132	116	58	27	25	1.72%	67	1325	19.78	0	1	1	1	105	0	0	0	1	123	0	0	0.00%	0	7	40	0	0.12	0	0	1	0	3	0	0	0
19	Noah Gregor	Rangers (NYR)	C	27	0	4	4	-3	0	0	22	16	22	6	18	0.00%	1	230	8.52	0	0	0	0	0	0	0	0	0	0	0	0	48.98%	98	0	3	0	0.35	0	0	0	0	0	0	0	0
20	Nick Seeler	Rangers (NYR)	D	12	0	3	3	-2	15	5	17	19	6	5	2	0.00%	17	198	16.55	0	0	0	0	0	0	0	0	0	5	0	0	0.00%	0	1	8	0	0.30	0	0	0	0	1	0	0	0
21	Mark McNeill	Rangers (NYR)	RW	16	1	1	2	-3	14	0	17	5	16	6	17	6.25%	0	120	7.51	0	0	0	0	0	0	0	0	0	0	0	0	71.43%	7	10	1	0	0.33	0	0	0	0	0	0	0	0
22	Keegan Kolesar	Rangers (NYR)	RW	5	0	1	1	3	0	0	2	1	4	2	1	0.00%	1	33	6.69	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.60	0	0	0	0	0	0	0	0
23	Gabriel Carlsson	Rangers (NYR)	D	12	0	0	0	-5	4	0	1	9	9	2	2	0.00%	14	200	16.74	0	0	0	0	0	0	0	0	0	3	0	0	0.00%	0	0	4	0	0.00	0	0	0	0	0	0	0	0
24	Jakob Forsbacka Karlsson	Rangers (NYR)	C	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	4	4.90	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0.00	0	0	0	0	0	0	0	0
25	Sami Lepisto	Rangers (NYR)	D	11	0	0	0	-6	4	0	22	20	5	5	5	0.00%	15	202	18.44	0	0	0	1	22	0	0	0	0	20	0	0	0.00%	0	1	2	0	0.00	0	0	0	0	0	0	0	0
26	David Gustafsson	Rangers (NYR)	C	1	0	0	0	0	0	0	0	0	2	1	3	0.00%	0	7	7.80	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	279	472	751	-36	786	170	2149	2184	2652	849	1463	10.52%	881	24296	16.46	51	90	141	276	2088	7	11	18	34	1885	32	19	50.37%	5237	563	539	7	0.62	4	33	8	13	13	37	33	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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Pheonix Copley	Rangers (NYR)	54	21	19	12	0.887	3.46	3053	1	176	1561	685	3	2	0.684	19	53	29	4	0	1
2	Reto Berra	Rangers (NYR)	35	13	14	3	0.891	3.55	1927	0	114	1046	475	1	0	0.778	9	29	53	2	1	2
Stats d'équipe Total ou en Moyenne			89	34	33	15	0.889	3.49	4981	1	290	2607	1160	4	2	0.714	28	82	82	6	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 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
Adam Brooks	Rangers (NYR)	C	25	1996-05-04 13:13:36	Yes	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	759,167$

	Rangers
	GP: 82 \| W: 34 \| L: 33 \| OTL: 15 \| P: 83 GF: 281 \| GA: 299 \| PP%: 19.47% \| PK%: 80.94% DG: Libre \| Morale : 18 \| Moyenne d'Équipe : 69