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	Nick Shore (R)	X				100.00	72	48	74	69	74	77	85	95	96	90	81	75	61	78	75	41	37	76	0	28	1	1,000,000$
2	Kasperi Kapanen (R)			X		100.00	75	49	85	80	75	81	88	83	58	79	74	81	78	68	66	79	25	74	0	24	2	900,000$
3	Lucas Wallmark (R)	X				100.00	69	39	84	71	70	82	88	76	84	74	68	80	70	69	65	64	43	70	0	25	3	700,000$
4	Mathieu Joseph (R)		X			100.00	77	35	72	69	73	72	83	73	58	70	69	75	64	55	53	57	41	67	0	24	2	925,000$
5	Daniel Sprong (R)		X			100.00	62	35	75	70	71	71	76	74	56	70	71	76	56	70	55	70	37	67	0	24	2	575,000$
6	Rocco Grimaldi (R)			X		100.00	58	37	82	68	62	72	81	74	53	76	66	68	67	73	68	66	38	67	0	28	1	575,000$
7	Pierre Engvall (R)			X		100.00	69	48	89	66	92	75	73	72	61	69	67	72	68	67	63	59	18	67	0	24	3	1,250,000$
8	Nicolas Aube-Kubel (R)			X		100.00	73	46	85	66	70	78	73	72	52	68	67	70	66	67	65	71	34	66	0	25	2	871,667$
9	Austin Wagner (R)		X			100.00	87	49	81	63	74	72	83	68	53	66	67	63	63	65	66	58	44	65	0	23	2	925,000$
10	Gabriel Vilardi (R)	X				100.00	64	42	90	65	84	74	67	70	75	67	62	69	65	61	63	85	42	65	0	25	3	894,167$
11	Sam Lafferty (R)		X			100.00	69	49	80	63	76	70	73	72	68	67	67	69	65	69	66	58	36	65	0	26	3	750,000$
12	Shea Theodore (R)				X	98.00	54	45	86	76	79	87	89	82	30	84	78	83	56	69	73	77	44	74	0	25	2	1,500,000$
13	Martin Marincin (R)				X	97.00	57	35	89	69	87	73	74	94	25	78	62	90	56	67	53	63	18	72	0	29	1	800,000$
14	David Rundblad (R)				X	99.00	84	65	61	66	76	55	67	69	50	65	65	89	67	91	84	51	30	71	0	30	1	800,000$
15	Samuel Girard (R)				X	100.00	63	38	90	77	64	87	89	83	30	83	64	71	56	63	65	73	36	70	0	23	1	925,000$
16	Matt Grzelcyk (R)				X	100.00	64	42	73	70	64	84	86	75	30	80	62	79	53	71	66	58	30	70	0	27	3	700,000$
17	Juuso Riikola (R)				X	100.00	82	39	90	64	72	79	77	70	30	71	59	68	48	73	67	36	19	67	0	27	2	925,000$
Rayé
1	Zach Boychuk	X				79.66	55	19	99	62	74	53	60	96	45	72	67	64	59	88	79	46	13	67	0	31	3	575,000$
2	Dillon Dube (R)		X			100.00	62	38	88	64	70	78	77	70	73	71	64	69	64	63	61	72	20	65	0	22	2	778,333$
3	Dylan Sikura (R)			X		100.00	55	40	90	63	66	76	73	68	54	66	63	65	62	69	65	54	19	63	0	25	2	750,000$
4	Taro Hirose (R)		X			100.00	56	39	87	64	65	75	71	70	58	70	62	64	63	67	64	52	19	63	0	24	2	925,000$
5	Kieffer Bellows (R)		X			100.00	63	50	84	61	76	83	80	66	52	63	63	65	61	63	65	83	20	63	0	22	3	894,166$
6	Max Veronneau (R)			X		100.00	61	38	87	59	76	73	72	67	54	63	61	68	56	69	64	56	19	62	0	25	2	925,000$
7	Clark Bishop (R)	X				100.00	62	48	83	60	77	74	72	65	60	63	60	66	60	67	64	56	18	62	0	25	2	695,000$
8	Danick Martel (R)		X			100.00	61	35	75	65	68	65	92	54	56	56	54	67	56	72	57	38	20	60	0	26	1	715,000$
9	Dominic Turgeon (R)	X				100.00	55	35	83	66	75	47	52	63	69	52	49	77	50	62	54	64	19	58	0	25	1	894,167$
10	Anton Lindholm (R)				X	100.00	84	45	77	65	73	69	76	71	30	68	66	79	52	66	57	50	43	68	0	26	3	575,000$
11	Marc-Andre Gragnani				X	100.00	21	16	99	66	73	66	71	62	69	58	44	95	51	86	83	28	19	67	0	34	1	700,000$
12	Riley Stillman (R)				X	100.00	64	48	86	60	77	83	72	66	30	64	60	72	50	63	62	64	18	65	0	23	2	773,333$
13	Conor Timmins (R)				X	100.00	61	45	86	64	77	73	69	69	30	69	60	66	46	63	62	77	20	64	0	22	3	925,000$

	MOYENNE D'ÉQUIPE					99.10	65	41	84	66	74	73	76	73	53	70	64	73	60	69	65	60	28	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	Jack Campbell (R)	95.00	93	78	83	83	94	99	99	99	99	92	53	85	75	69	45	89	0
2	Michael Hutchinson	100.00	79	74	88	86	80	98	98	99	99	83	88	93	72	40	48	86	0
Rayé
1	Kristers Gudlevskis (R)	100.00	79	73	70	81	78	79	83	85	84	73	75	80	72	60	20	77	0

	MOYENNE D'ÉQUIPE	98.33	84	75	80	83	84	92	93	94	94	83	72	86	73	56	38	84

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jacques Martin	49	57	61	56	99	93	66	CAN	68	3	800,000$

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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	Nick Shore	Penguins (PIT)	C	80	37	45	82	8	32	0	165	205	283	79	196	13.07%	44	1583	19.79	6	13	19	34	210	3	0	3	10	221	3	2	58.79%	1820	53	24	0	2	1.04	0	5	0	0	0	9	2	4
2	Lucas Wallmark	Penguins (PIT)	C	82	31	36	67	-11	26	0	159	192	202	63	137	15.35%	45	1441	17.58	7	6	13	27	182	0	0	0	2	83	6	0	52.41%	1267	51	29	0	0	0.93	2	4	0	0	0	5	5	6
3	Kasperi Kapanen	Penguins (PIT)	RW	78	30	37	67	5	12	0	131	131	256	89	179	11.72%	39	1558	19.98	8	13	21	35	204	0	3	3	4	228	2	2	40.59%	101	96	22	0	0	0.86	1	4	0	0	0	3	7	3
4	Shea Theodore	Penguins (PIT)	D	82	17	43	60	8	20	0	87	171	196	73	86	8.67%	105	1940	23.66	3	4	7	37	240	0	0	0	4	228	3	1	0.00%	0	84	68	0	2	0.62	0	0	0	0	0	1	2	2
5	Zach Boychuk	Penguins (PIT)	C	76	21	25	46	-12	2	0	91	124	251	77	156	8.37%	19	1147	15.09	0	0	0	1	10	0	0	0	1	36	0	0	39.97%	1196	47	13	0	0	0.80	0	0	0	0	0	2	4	2
6	Rocco Grimaldi	Penguins (PIT)	RW	82	21	23	44	-10	36	0	99	85	184	71	122	11.41%	37	1255	15.31	1	3	4	6	70	0	0	0	1	2	3	1	45.54%	101	40	19	0	0	0.70	0	0	0	0	0	0	4	2
7	Daniel Sprong	Penguins (PIT)	LW	82	16	23	39	-6	24	0	143	99	190	63	114	8.42%	30	1322	16.13	2	6	8	23	189	0	0	0	0	4	1	0	31.88%	69	44	21	0	0	0.59	0	1	0	0	0	3	2	2
8	Pierre Engvall	Penguins (PIT)	RW	82	11	20	31	-19	8	0	136	105	127	37	74	8.66%	17	1272	15.52	3	3	6	9	123	0	0	0	0	2	1	1	39.29%	84	28	21	0	0	0.49	0	0	0	0	0	1	1	0
9	Samuel Girard	Penguins (PIT)	D	82	5	24	29	-11	6	0	65	142	114	51	58	4.39%	91	1656	20.20	2	3	5	11	136	0	0	0	2	114	1	0	0.00%	0	24	50	1	0	0.35	0	0	0	0	0	1	0	3
10	Mathieu Joseph	Penguins (PIT)	LW	82	13	16	29	4	62	0	184	85	113	27	81	11.50%	37	1468	17.91	4	4	8	16	204	1	0	1	5	92	3	3	32.89%	76	24	24	0	0	0.39	0	2	0	0	0	2	0	2
11	Martin Marincin	Penguins (PIT)	D	71	3	24	27	8	25	5	67	150	92	37	39	3.26%	91	1607	22.64	1	5	6	18	203	0	3	3	4	192	1	0	0.00%	0	22	52	0	0	0.34	0	0	0	0	1	0	0	0
12	Nicolas Aube-Kubel	Penguins (PIT)	RW	82	16	7	23	0	12	0	62	53	118	44	69	13.56%	17	732	8.93	1	0	1	2	7	1	0	1	2	40	2	1	42.31%	52	27	15	0	0	0.63	0	0	0	0	0	2	1	3
13	Austin Wagner	Penguins (PIT)	LW	82	11	8	19	3	34	20	100	40	72	19	41	15.28%	12	665	8.11	0	0	0	0	1	0	0	0	0	17	0	0	70.00%	20	12	4	0	0	0.57	0	0	1	1	2	0	1	1
14	David Rundblad	Penguins (PIT)	D	78	0	18	18	-8	80	20	191	169	73	41	41	0.00%	98	1578	20.23	0	4	4	6	152	0	0	0	0	126	0	0	0.00%	0	26	46	0	0	0.23	0	1	2	0	2	0	1	1
15	Juuso Riikola	Penguins (PIT)	D	64	0	17	17	-1	19	5	77	75	43	11	10	0.00%	69	1073	16.78	0	0	0	0	0	0	1	1	1	32	0	0	0.00%	1	11	32	0	0	0.32	0	0	0	1	0	0	0	0
16	Gabriel Vilardi	Penguins (PIT)	C	82	8	7	15	-2	2	0	43	63	66	19	30	12.12%	18	681	8.31	0	0	0	0	0	0	0	0	0	1	3	0	52.21%	362	7	14	0	0	0.44	0	0	0	0	0	1	0	1
17	Matt Grzelcyk	Penguins (PIT)	D	65	1	12	13	-25	72	10	82	100	59	22	33	1.69%	94	1213	18.67	1	1	2	5	71	0	0	0	0	50	0	0	0.00%	0	20	36	0	0	0.21	0	0	1	0	1	0	0	0
18	Sam Lafferty	Penguins (PIT)	LW	82	4	8	12	-17	52	10	162	87	92	25	50	4.35%	27	1205	14.70	0	0	0	0	1	0	0	0	0	26	1	0	43.06%	72	15	13	0	0	0.20	0	0	1	1	0	0	0	1
19	Anton Lindholm	Penguins (PIT)	D	43	2	3	5	-9	20	0	68	54	25	12	14	8.00%	49	714	16.62	0	0	0	0	0	0	0	0	0	14	0	0	0.00%	0	9	19	0	0	0.14	0	0	0	0	0	0	0	0
20	Riley Stillman	Penguins (PIT)	D	7	1	2	3	6	8	0	3	8	5	1	2	20.00%	9	117	16.76	0	0	0	0	0	0	0	0	0	4	1	0	0.00%	0	0	6	0	0	0.51	0	0	0	0	0	0	1	0
21	Dylan Sikura	Penguins (PIT)	RW	4	0	1	1	2	2	0	1	1	6	1	4	0.00%	0	35	8.98	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0.56	0	0	0	0	0	0	0	0
22	Clark Bishop	Penguins (PIT)	C	8	1	0	1	2	0	0	4	5	4	3	1	25.00%	2	60	7.58	0	0	0	0	0	0	0	0	0	2	0	0	72.22%	18	0	1	0	0	0.33	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	249	399	648	-85	554	70	2120	2144	2571	865	1537	9.68%	950	24333	16.49	39	65	104	230	2013	5	7	12	36	1524	31	11	50.55%	5240	640	530	1	4	0.53	3	17	5	3	6	30	31	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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Michael Hutchinson	Penguins (PIT)	43	19	14	5	0.894	3.44	2372	4	136	1284	525	2	0	0.857	7	39	43	3	2	1
2	Jack Campbell	Penguins (PIT)	46	14	25	5	0.901	3.18	2586	4	137	1390	588	0	1	0.625	8	43	39	3	4	1
Stats d'équipe Total ou en Moyenne			89	33	39	10	0.898	3.30	4958	8	273	2674	1113	2	1	0.733	15	82	82	6	6	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
Anton Lindholm	Penguins (PIT)	D	26	1994-11-29 10:02:12	Yes	193 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$

	Penguins
	GP: 82 \| W: 33 \| L: 39 \| OTL: 10 \| P: 76 GF: 251 \| GA: 277 \| PP%: 15.85% \| PK%: 80.58% DG: Michael Murphy \| Morale : 33 \| Moyenne d'Équipe : 68