Ligue Canadienne de Hockey Simulé

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Stats d'équipe en Carrière

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

#	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	Justin Fontaine (R)			X		100.00	62	49	57	68	70	69	74	99	69	99	89	69	68	86	78	12	70	77	0	33	1	1,000,000$
2	Alexander Kerfoot (R)	X				100.00	67	48	71	78	69	81	94	92	75	88	81	81	64	57	56	44	75	76	0	26	1	1,137,500$
3	Ryan Hartman (R)			X		100.00	81	53	61	74	72	81	93	89	72	86	90	74	56	70	59	73	75	76	0	26	2	1,500,000$
4	Brady Tkachuk (R)		X			100.00	96	67	61	77	89	83	86	82	68	80	79	70	77	61	64	89	82	74	0	21	2	925,000$
5	Kyle Clifford (R)		X			100.00	74	56	69	67	78	75	85	78	63	71	70	83	65	88	82	46	74	72	0	30	1	900,000$
6	Nick Suzuki (R)	X				100.00	69	39	88	74	72	82	90	80	80	82	71	69	73	61	64	85	80	72	0	21	3	863,333$
7	Oskar Lindblom (R)		X			100.00	70	38	87	72	76	77	80	78	55	73	76	76	72	67	64	56	78	71	0	24	1	1,137,500$
8	Teddy Blueger (R)	X				100.00	80	45	82	66	71	78	77	71	81	71	68	91	64	71	68	66	80	71	0	26	2	650,000$
9	Tomas Nosek (R)		X			100.00	79	39	86	65	81	72	83	71	76	72	65	83	65	75	69	36	81	70	0	28	3	600,000$
10	Logan Brown (R)	X				100.00	71	49	85	65	96	80	82	70	78	72	65	74	65	63	62	85	77	69	0	23	1	1,604,170$
11	John Hayden (R)			X		100.00	84	66	62	64	86	75	78	70	76	66	65	70	59	69	66	63	80	67	0	26	3	575,000$
12	Kevin Roy (R)			X		100.00	53	42	79	72	66	67	99	71	49	69	67	68	51	72	56	55	78	66	0	28	1	875,000$
13	Jarred Tinordi (R)				X	100.00	74	57	79	59	98	82	74	75	30	68	60	89	48	75	71	68	80	73	0	29	2	1,000,000$
14	Will Butcher (R)				X	100.00	61	35	78	69	71	83	91	88	30	88	72	74	61	60	56	53	80	71	0	26	1	2,775,000$
15	Madison Bowey (R)				X	100.00	78	47	72	67	81	83	78	73	30	78	61	75	51	69	64	71	74	70	0	26	1	925,000$
16	Nicolas Hague (R)				X	100.00	73	48	86	64	97	81	74	69	30	69	61	71	54	63	68	77	74	69	0	22	3	791,667$
17	Taylor Chorney (R)				X	100.00	55	35	89	67	73	69	62	77	30	68	68	80	58	81	60	53	43	67	0	34	1	600,000$
18	Urho Vaakanainen (R)				X	100.00	63	42	87	61	74	79	72	66	30	66	61	72	53	62	63	83	35	65	0	22	2	925,000$
Rayé
1	Jason Robertson (R)		X			100.00	66	46	90	66	85	79	74	70	56	67	64	71	63	61	62	76	20	66	0	21	3	795,000$
2	Scott Wilson (R)		X			100.00	56	42	90	63	71	72	74	69	53	70	64	71	62	75	68	52	19	65	0	29	2	575,000$
3	Ryan MacInnis (R)	X				100.00	64	46	89	61	86	75	73	69	68	67	62	70	61	67	64	72	20	65	0	25	3	874,125$
4	Ryan Poehling (R)	X				100.00	71	42	89	63	81	74	72	69	76	65	61	71	59	61	64	82	20	64	0	22	2	925,000$
5	Par Lindholm (R)		X			100.00	59	39	89	60	71	69	63	65	76	62	62	87	58	77	67	36	20	64	0	29	1	850,000$
6	Joseph Gambardella (R)	X				100.00	61	35	73	65	72	64	57	71	65	73	63	72	51	64	52	40	19	63	0	27	2	725,000$
7	Zach Senyshyn (R)			X		100.00	61	42	89	61	76	77	72	69	53	65	63	65	62	65	66	83	20	63	0	24	2	863,333$
8	Connor Bunnaman (R)	X				100.00	63	43	87	60	79	78	77	65	56	63	62	68	58	63	62	61	20	63	0	23	3	736,666$
9	Eetu Luostarinen (R)	X				100.00	62	44	89	61	80	75	72	66	64	66	61	64	59	63	62	74	19	63	0	22	3	897,500$
10	Logan O'Connor (R)			X		100.00	57	43	89	62	69	77	78	68	54	65	63	65	62	67	63	56	20	63	0	24	3	725,000$
11	Tyler Wotherspoon (R)				X	100.00	62	29	99	61	78	59	67	82	25	71	53	82	54	82	77	57	21	68	0	28	3	575,000$
12	Sami Niku (R)				X	100.00	58	42	88	66	73	75	69	71	30	71	61	70	54	67	64	56	11	65	0	24	2	775,000$
13	Guillaume Brisebois (R)				X	100.00	51	35	70	59	71	44	54	66	30	60	57	61	52	53	53	64	20	56	0	23	2	697,500$

	MOYENNE D'ÉQUIPE					100.00	67	45	81	66	78	75	77	74	56	72	67	74	60	68	64	62	50	68

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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	Jeff Glass (R)	100.00	79	81	90	82	85	94	86	86	86	77	51	82	72	30	42	82	0
2	Dustin Tokarski (R)	100.00	71	78	73	79	76	90	89	84	86	75	77	86	85	55	81	79	0
Rayé
1	Justin Peters	100.00	68	76	78	82	77	94	94	96	96	81	86	99	99	26	22	84	0

	MOYENNE D'ÉQUIPE	100.00	73	78	80	81	79	93	90	89	89	78	71	89	85	37	48	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dallas Eakins	81	65	71	82	79	73	70	USA	53	2	900,000$

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

#	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	Ryan Hartman	Red Wings (DET)	RW	81	52	44	96	27	93	15	195	120	294	99	180	17.69%	34	1520	18.77	7	9	16	30	182	4	2	6	10	209	5	0	47.41%	116	69	24	0	4	1.26	3	9	0	2	1	10	6	2
2	Alexander Kerfoot	Red Wings (DET)	C	81	40	54	94	-13	51	15	132	179	253	89	142	15.81%	43	1531	18.91	10	19	29	41	224	3	2	5	10	171	7	2	48.95%	1518	64	26	1	1	1.23	3	9	0	3	0	5	5	8
3	Justin Fontaine	Red Wings (DET)	RW	78	37	45	82	-18	119	25	162	141	245	74	171	15.10%	47	1510	19.36	12	15	27	46	216	0	4	4	6	223	5	4	45.05%	444	62	26	0	3	1.09	1	8	2	0	3	5	2	4
4	Nick Suzuki	Red Wings (DET)	C	81	19	42	61	17	16	10	115	122	212	68	116	8.96%	30	1283	15.85	4	7	11	28	182	0	0	0	2	10	1	0	52.07%	1231	48	23	0	0	0.95	1	1	1	1	0	3	2	4
5	Oskar Lindblom	Red Wings (DET)	LW	81	24	30	54	-23	12	0	103	123	272	87	131	8.82%	44	1263	15.60	0	2	2	2	34	1	3	4	4	90	5	2	37.25%	102	59	20	0	0	0.85	1	1	0	0	0	2	2	2
6	Brady Tkachuk	Red Wings (DET)	LW	72	15	32	47	-11	148	70	206	79	103	31	54	14.56%	25	1230	17.09	6	13	19	24	199	0	2	2	2	77	2	1	40.85%	71	27	20	0	0	0.76	1	3	5	2	7	0	3	2
7	Will Butcher	Red Wings (DET)	D	81	12	33	45	-20	31	5	73	167	132	56	60	9.09%	93	1843	22.76	5	4	9	23	222	0	2	2	5	232	2	1	0.00%	0	48	50	0	0	0.49	0	0	0	0	1	2	1	3
8	Kyle Clifford	Red Wings (DET)	LW	78	18	24	42	19	85	25	159	98	114	36	79	15.79%	34	1246	15.98	1	7	8	13	175	0	1	1	1	17	1	3	55.38%	65	20	19	0	0	0.67	1	1	0	2	3	2	2	4
9	Teddy Blueger	Red Wings (DET)	C	81	16	22	38	-35	26	0	116	195	208	70	128	7.69%	40	1245	15.38	0	0	0	0	2	0	0	0	3	87	0	0	53.44%	1235	23	27	0	0	0.61	0	0	0	0	0	1	2	0
10	Madison Bowey	Red Wings (DET)	D	77	3	27	30	-4	63	15	161	126	59	26	28	5.08%	94	1583	20.57	1	2	3	4	149	0	1	1	1	157	1	1	0.00%	0	23	38	0	0	0.38	0	0	1	1	1	0	2	0
11	Jarred Tinordi	Red Wings (DET)	D	81	3	25	28	-6	44	30	149	154	83	34	36	3.61%	123	1926	23.78	1	6	7	15	245	0	2	2	3	279	0	1	0.00%	0	10	47	1	0	0.29	0	0	1	2	3	1	1	1
12	Tomas Nosek	Red Wings (DET)	LW	81	14	11	25	-8	11	5	114	84	125	35	78	11.20%	20	820	10.13	0	0	0	0	15	0	1	1	0	17	2	2	49.02%	51	20	11	0	0	0.61	0	0	0	0	1	1	2	1
13	Joe Morrow	Red Wings	D	29	16	8	24	4	27	15	32	72	62	9	13	25.81%	34	687	23.69	5	1	6	8	95	4	0	4	5	116	0	3	0.00%	0	22	15	0	2	0.70	0	0	0	1	2	2	0	1
14	Kevin Roy	Red Wings (DET)	RW	81	11	12	23	4	10	0	28	44	105	44	59	10.48%	15	646	7.98	0	0	0	0	4	0	0	0	0	0	2	0	40.00%	20	34	9	0	1	0.71	0	0	0	0	0	1	0	1
15	John Hayden	Red Wings (DET)	RW	81	8	14	22	-35	118	20	182	93	98	28	58	8.16%	40	1125	13.90	0	0	0	0	3	0	0	0	0	0	1	0	44.26%	61	19	21	0	0	0.39	0	0	0	1	3	1	1	2
16	Nicolas Hague	Red Wings (DET)	D	81	0	20	20	-2	20	10	96	118	49	23	28	0.00%	61	1491	18.42	0	0	0	1	89	0	0	0	1	97	0	0	0.00%	0	9	28	0	0	0.27	0	0	0	1	1	0	0	0
17	Taylor Chorney	Red Wings (DET)	D	58	2	16	18	3	11	5	33	69	45	25	19	4.44%	59	922	15.91	0	0	0	0	0	0	0	0	0	15	0	0	0.00%	0	19	28	0	0	0.39	0	0	0	1	0	0	1	2
18	Logan Brown	Red Wings (DET)	C	81	7	7	14	4	4	0	68	56	70	24	47	10.00%	8	652	8.06	0	0	0	0	0	0	0	0	0	32	0	0	50.76%	264	10	5	0	0	0.43	0	0	0	0	0	1	1	0
19	Tyler Wotherspoon	Red Wings (DET)	D	38	1	7	8	-13	0	0	30	65	18	10	16	5.56%	38	669	17.62	0	0	0	1	24	0	0	0	0	31	0	0	0.00%	0	4	19	0	0	0.24	0	0	0	0	0	0	0	0
20	Sami Niku	Red Wings (DET)	D	24	0	5	5	-13	2	0	13	23	10	4	8	0.00%	30	390	16.28	0	0	0	0	0	0	0	0	1	11	0	0	0.00%	0	7	3	0	0	0.26	0	0	0	0	0	0	0	0
21	Urho Vaakanainen	Red Wings (DET)	D	17	0	4	4	9	6	0	11	16	16	10	5	0.00%	13	267	15.73	0	0	0	0	0	0	0	0	0	5	0	0	0.00%	0	3	7	0	0	0.30	0	0	0	0	0	0	0	1
22	Jason Robertson	Red Wings (DET)	LW	12	1	0	1	3	0	0	11	4	10	6	11	10.00%	0	91	7.59	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	3	2	0	0	0	0.22	0	0	0	0	0	0	0	0
23	Zach Senyshyn	Red Wings (DET)	RW	2	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	12	6.44	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0	0	0
24	Logan O'Connor	Red Wings (DET)	RW	1	0	0	0	-2	0	0	0	0	0	0	0	0.00%	0	9	9.25	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1458	299	482	781	-113	897	265	2189	2148	2583	888	1467	11.58%	925	23973	16.44	52	85	137	236	2068	12	20	32	54	1884	34	20	50.11%	5181	602	468	2	11	0.65	11	32	10	17	26	37	33	38

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

#	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	Dustin Tokarski	Red Wings (DET)	40	18	11	4	0.886	3.79	2072	2	131	1151	527	2	0	0.778	18	35	46	3	2	3
2	Jeff Glass	Red Wings (DET)	32	14	12	3	0.884	3.75	1745	0	109	937	416	1	4	0.000	0	27	24	0	1	1
3	Justin Peters	Red Wings (DET)	20	9	9	1	0.860	4.12	1093	4	75	534	227	0	1	0.923	13	19	11	0	2	0
Stats d'équipe Total ou en Moyenne			92	41	32	8	0.880	3.85	4910	6	315	2622	1170	3	5	0.839	31	81	81	3	5	4

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

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
Alexander Kerfoot	Red Wings (DET)	C	26	1994-08-11 11:02:39	Yes	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,137,500$

	Red Wings
	GP: 81 \| W: 41 \| L: 32 \| OTL: 8 \| P: 90 GF: 306 \| GA: 322 \| PP%: 19.92% \| PK%: 81.25% DG: Martin Dufour \| Morale : 66 \| Moyenne d'Équipe : 69 Prochain matchs #984 vs Bruins