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	Drake Caggiula (R)		X			100.00	87	43	78	71	69	86	82	81	52	78	75	78	55	70	76	37	59	73	0	26	3	900,000$
2	Austin Czarnik (R)	X				100.00	57	35	78	77	68	65	99	80	72	81	73	73	65	75	68	48	56	72	0	28	3	800,000$
3	Conor Garland (R)			X		100.00	58	38	86	73	63	77	81	79	53	72	79	71	72	67	69	57	46	70	0	25	2	680,000$
4	Nicolas Deslauriers		X			100.00	89	75	65	64	87	76	79	69	54	70	74	81	62	77	73	52	61	70	0	30	1	700,000$
5	Kirby Dach (R)	X				100.00	58	42	82	72	86	77	83	78	82	75	66	72	72	59	62	91	64	69	0	20	3	925,000$
6	Tomas Hyka (R)			X		100.00	51	35	73	69	67	64	87	81	42	82	73	65	50	66	54	43	57	68	0	28	1	650,000$
7	Nicolas Roy (R)	X				100.00	69	45	88	66	86	75	73	71	71	69	65	72	63	65	64	62	65	67	0	24	1	790,000$
8	Lukas Sedlak (R)	X				100.00	72	35	71	64	76	75	79	69	80	72	65	74	54	75	60	41	47	67	0	28	3	575,000$
9	Geoff Platt		X			100.00	71	43	75	65	71	45	52	83	69	82	80	54	51	81	81	31	58	67	0	35	2	575,000$
10	Dmytro Timashov (R)			X		100.00	72	39	88	67	69	77	80	72	58	69	69	71	68	67	65	57	57	67	0	24	3	694,444$
11	Logan Shaw (R)			X		100.00	65	46	88	62	85	75	78	70	55	69	65	71	62	75	65	53	36	66	0	28	2	575,000$
12	Kenny Agostino (R)		X			100.00	77	44	70	69	74	64	88	74	58	73	65	69	61	56	54	45	61	66	0	29	2	575,000$
13	Brandon Montour (R)				X	100.00	77	39	76	70	72	87	88	86	30	86	85	83	54	71	66	66	58	75	0	27	3	1,500,000$
14	Xavier Ouellet (R)				X	100.00	61	38	86	67	73	80	81	80	25	77	72	90	62	78	72	62	56	73	0	27	1	900,000$
15	Connor Carrick (R)				X	100.00	62	44	77	69	72	74	69	82	30	75	80	76	56	75	59	49	46	69	0	27	2	700,000$
16	Ian McCoshen (R)				X	100.00	72	40	84	62	78	74	65	71	30	64	74	84	51	71	57	72	62	69	0	25	3	575,000$
17	Adam Clendening (R)				X	100.00	64	55	61	71	74	57	93	77	30	67	56	74	52	71	71	68	51	68	0	28	1	575,000$
18	Tomas Kundratek (R)				X	100.00	63	49	84	64	76	69	78	87	52	78	78	51	72	86	83	34	66	68	0	31	3	575,000$
Rayé
1	Yakov Trenin (R)			X		100.00	64	48	88	65	81	75	73	73	70	69	65	71	66	65	63	71	19	66	0	24	3	730,833$
2	John Quenneville (R)		X			100.00	61	45	86	63	76	83	80	68	73	66	65	71	63	67	64	76	20	65	0	25	3	575,000$
3	Maxim Letunov (R)	X				100.00	62	43	88	63	82	80	79	69	68	67	62	67	63	67	64	72	20	65	0	25	3	700,000$
4	Matthew Highmore (R)	X				100.00	65	41	88	63	70	79	76	69	67	67	61	67	63	67	64	56	19	64	0	25	3	725,000$
5	Thomas Di Pauli (R)	X				100.00	58	43	77	60	70	68	69	68	64	64	62	64	61	71	66	59	20	62	0	27	3	700,000$
6	Jaycob Megna (R)				X	100.00	68	35	73	64	92	59	64	71	30	63	59	83	52	60	54	39	20	67	0	28	3	575,000$
7	Paul LaDue (R)				X	100.00	73	35	75	64	75	69	66	77	30	77	73	70	58	54	52	41	19	66	0	28	3	575,000$
8	Gustav Olofsson (R)				X	100.00	56	35	87	67	75	68	68	73	30	70	62	72	52	66	66	67	19	65	0	26	2	575,000$
9	Louis Belpedio (R)				X	100.00	51	35	62	62	74	44	51	69	30	60	57	62	50	51	51	63	19	57	0	25	1	925,000$

	MOYENNE D'ÉQUIPE					100.00	66	42	79	66	76	71	76	75	52	72	69	72	60	69	65	56	44	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	Alex Stalock	98.00	89	93	91	77	90	90	91	90	90	89	85	82	87	52	69	86	0
2	Malcolm Subban (R)	100.00	82	82	80	86	83	85	87	86	85	82	78	73	77	69	60	81	0
Rayé
1	Eric Comrie (R)	100.00	75	68	66	72	79	80	82	81	80	76	71	69	73	65	19	74	0

	MOYENNE D'ÉQUIPE	99.33	82	81	79	78	84	85	87	86	85	82	78	75	79	62	49	80

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Anderson	50	84	78	47	93	99	75	CAN	62	1	675,000$

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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	Tomas Hyka	Blues (STL)	RW	81	36	43	79	-2	44	0	97	87	253	95	168	14.23%	23	1298	16.04	6	11	17	32	191	0	0	0	0	0	6	3	30.77%	65	43	10	2	1.22	0	0	0	0	0	4	5	3
2	Austin Czarnik	Blues (STL)	C	77	27	48	75	-3	33	5	130	163	193	71	116	13.99%	43	1527	19.84	6	14	20	32	210	1	0	1	5	221	5	1	48.79%	1484	38	27	1	0.98	1	7	0	1	0	7	4	3
3	Drake Caggiula	Blues (STL)	LW	81	22	49	71	-7	42	0	214	145	218	73	151	10.09%	44	1628	20.11	7	14	21	39	230	0	3	3	4	248	2	0	38.38%	482	22	36	0	0.87	0	8	0	0	0	3	1	7
4	Kirby Dach	Blues (STL)	C	81	32	35	67	-6	20	10	92	149	203	83	150	15.76%	25	1311	16.19	9	6	15	32	192	0	0	0	2	17	3	3	50.93%	1294	44	24	1	1.02	0	2	1	0	1	3	4	4
5	Conor Garland	Blues (STL)	RW	75	25	41	66	-4	17	5	110	92	185	59	133	13.51%	24	1324	17.66	4	18	22	39	218	0	2	2	3	80	1	1	43.44%	122	45	27	1	1.00	2	7	0	0	1	1	6	2
6	Geoff Platt	Blues (STL)	LW	81	31	30	61	9	67	5	130	60	227	70	164	13.66%	17	1046	12.91	0	1	1	0	9	0	1	1	0	34	5	2	44.44%	63	54	10	1	1.17	0	1	1	0	0	3	4	7
7	Brandon Montour	Blues (STL)	D	74	18	38	56	1	63	15	158	151	193	81	81	9.33%	89	1736	23.47	10	8	18	40	240	0	1	1	9	219	1	2	0.00%	0	76	62	2	0.64	0	0	2	0	1	4	2	0
8	Connor Carrick	Blues (STL)	D	81	13	33	46	7	55	5	104	162	138	61	50	9.42%	85	1663	20.54	5	6	11	20	174	1	2	3	5	155	3	0	0.00%	0	51	41	1	0.55	0	1	1	0	0	2	1	0
9	Lukas Sedlak	Blues (STL)	C	77	12	26	38	-1	46	0	151	185	124	42	77	9.68%	23	1115	14.49	0	2	2	3	21	0	0	0	0	9	1	1	54.32%	1145	11	17	0	0.68	0	0	0	0	0	0	2	0
10	Xavier Ouellet	Blues (STL)	D	77	9	28	37	1	20	10	84	175	102	50	33	8.82%	101	1817	23.61	5	9	14	21	239	1	0	1	4	236	1	0	0.00%	0	20	54	1	0.41	1	1	0	1	1	2	1	3
11	Nicolas Deslauriers	Blues (STL)	LW	81	18	17	35	-1	160	90	260	129	131	41	75	13.74%	44	1424	17.58	2	4	6	13	179	4	0	4	8	138	2	0	38.95%	95	26	28	0	0.49	1	7	6	7	5	0	2	3
12	Ian McCoshen	Blues (STL)	D	76	5	26	31	3	28	10	110	122	69	33	44	7.25%	93	1553	20.45	2	2	4	5	128	0	3	3	1	141	1	0	0.00%	0	15	48	0	0.40	0	1	0	0	2	1	3	1
13	Tomas Kundratek	Blues (STL)	D	81	6	24	30	-1	20	10	67	88	117	56	57	5.13%	58	1375	16.98	1	1	2	5	31	1	0	1	4	50	0	1	0.00%	0	42	23	1	0.44	0	1	1	0	1	0	0	2
14	Dmytro Timashov	Blues (STL)	RW	81	13	17	30	2	4	0	97	73	150	45	79	8.67%	25	1092	13.48	1	0	1	1	9	0	0	0	0	14	2	0	47.89%	71	24	13	0	0.55	0	1	0	0	0	1	1	0
15	Kenny Agostino	Blues (STL)	LW	81	7	14	21	-4	46	0	117	64	117	40	71	5.98%	18	844	10.43	0	0	0	1	6	0	0	0	0	25	0	1	26.42%	53	24	20	0	0.50	0	0	0	0	0	0	0	2
16	Nicolas Roy	Blues (STL)	C	81	7	8	15	1	7	5	62	87	72	26	53	9.72%	8	774	9.56	0	0	0	0	5	0	0	0	0	66	1	0	47.09%	378	14	14	0	0.39	0	0	1	0	0	0	0	1
17	Logan Shaw	Blues (STL)	RW	63	5	7	12	-1	11	5	42	38	66	18	31	7.58%	14	582	9.24	0	0	0	1	2	0	0	0	0	2	1	0	25.00%	16	4	5	0	0.41	0	0	0	1	0	1	1	1
18	Adam Clendening	Blues (STL)	D	81	0	6	6	-11	108	40	104	107	63	32	25	0.00%	82	1364	16.85	0	0	0	4	36	0	0	0	0	44	0	0	0.00%	0	5	45	0	0.09	0	1	1	4	3	0	0	0
19	Yakov Trenin	Blues (STL)	RW	24	2	1	3	-2	0	0	9	18	14	3	13	14.29%	3	184	7.67	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	4	2	3	0	0.33	0	0	0	0	0	0	0	1
20	Paul LaDue	Blues (STL)	D	13	1	1	2	-5	10	0	21	14	14	6	4	7.14%	9	217	16.72	0	0	0	0	0	0	0	0	0	17	0	0	0.00%	0	3	10	0	0.18	0	0	0	0	0	0	0	0
21	Maxim Letunov	Blues (STL)	C	7	1	0	1	1	0	0	3	7	2	0	0	50.00%	2	49	7.12	0	0	0	0	0	0	0	0	0	0	0	1	52.38%	21	0	0	0	0.40	0	0	0	0	0	0	1	0
22	Jaycob Megna	Blues (STL)	D	3	0	0	0	-1	2	0	4	6	1	3	2	0.00%	1	48	16.25	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0.00	0	0	0	0	0	0	0	0
23	Matthew Highmore	Blues (STL)	C	1	0	0	0	0	0	0	0	2	0	0	0	0.00%	0	6	6.20	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	3	1	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1458	290	492	782	-24	803	215	2166	2124	2652	988	1577	10.94%	831	23988	16.45	58	96	154	288	2130	8	12	20	45	1725	35	16	48.60%	5296	565	518	11	0.65	5	38	14	14	15	32	38	40

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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	Alex Stalock	Blues (STL)	57	23	23	8	0.891	3.61	3062	2	184	1687	741	2	1	0.720	25	55	26	3	3	2
2	Malcolm Subban	Blues (STL)	36	14	11	2	0.884	3.60	1848	0	111	957	436	3	2	0.778	9	26	55	1	0	0
Stats d'équipe Total ou en Moyenne			93	37	34	10	0.888	3.61	4910	2	295	2644	1177	5	3	0.735	34	81	81	4	3	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
Adam Clendening	Blues (STL)	D	28	1992-10-26 05:11:13	Yes	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$

	Blues
	GP: 81 \| W: 37 \| L: 34 \| OTL: 10 \| P: 84 GF: 292 \| GA: 304 \| PP%: 21.64% \| PK%: 77.39% DG: Daniel Duchesne \| Morale : 40 \| Moyenne d'Équipe : 69 Prochain matchs #978 vs Canucks