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	Marko Dano	X				100.00	88	49	70	71	72	70	74	99	68	93	88	72	63	72	79	74	50	77	0	26	1	1,000,000$
2	Richard Panik (R)		X			100.00	81	42	76	72	81	88	88	80	57	85	77	89	69	72	64	56	54	76	0	30	1	1,000,000$
3	Stefan Noesen (R)			X		100.00	76	47	72	68	76	78	89	80	67	77	73	77	54	74	56	75	53	71	0	28	1	700,000$
4	Dominik Simon (R)	X				100.00	74	39	88	70	72	81	84	76	66	77	71	76	69	71	66	54	54	71	0	26	2	600,000$
5	Brendan Leipsic (R)		X			100.00	66	35	84	73	70	74	79	74	68	79	69	77	66	58	55	58	34	69	0	27	2	600,000$
6	J.T. Brown			X		100.00	78	39	77	70	69	64	77	77	55	68	64	78	65	88	80	55	57	69	0	30	3	575,000$
7	Warren Foegele (R)			X		100.00	79	41	83	67	80	73	87	72	56	69	69	78	64	67	65	63	52	69	0	25	1	800,000$
8	Filip Chytil (R)	X				100.00	64	42	86	68	82	76	81	74	83	72	69	72	70	61	64	82	59	68	0	21	1	1,275,000$
9	Rudolfs Balcers (R)		X			100.00	57	39	83	65	68	75	72	71	58	69	66	72	64	65	63	56	56	65	0	24	2	925,000$
10	Michael Sgarbossa (R)	X				100.00	59	46	87	62	71	78	75	70	74	68	64	70	62	75	68	54	65	65	0	28	1	575,000$
11	Zack MacEwen (R)			X		100.00	75	48	79	60	84	78	76	65	66	65	66	67	58	67	63	52	54	65	0	24	3	825,000$
12	Anton Blidh (R)		X			100.00	67	47	78	61	75	83	76	66	53	62	63	68	59	69	65	54	54	64	0	26	1	575,000$
13	Scott Harrington (R)				X	100.00	67	41	73	66	77	72	86	74	30	76	77	90	53	59	55	64	64	72	0	28	1	600,000$
14	Mark Barberio (R)				X	100.00	62	43	82	62	77	78	73	84	30	78	76	93	59	72	62	36	38	72	0	31	3	900,000$
15	Rasmus Andersson (R)				X	100.00	62	46	78	67	80	83	88	73	30	79	62	74	52	67	64	68	55	70	0	24	3	600,000$
16	Ilya Lyubushkin (R)				X	100.00	95	43	82	64	81	77	79	70	30	71	53	73	49	71	66	42	42	69	0	27	2	925,000$
17	Cale Fleury (R)				X	100.00	72	43	88	63	78	83	77	69	30	67	61	71	53	62	61	64	34	67	0	22	3	771,666$
18	Igor Ozhiganov (R)				X	100.00	68	35	75	63	78	71	66	63	30	62	59	70	60	56	55	33	18	63	0	28	2	925,000$
Rayé
1	Blake Pietila (R)	X				100.00	56	35	67	68	74	51	59	75	56	71	68	72	54	55	53	52	32	64	0	28	2	575,000$
2	Martin Kaut (R)			X		100.00	61	45	89	60	78	84	81	69	55	65	61	70	60	61	63	84	20	64	0	21	3	894,167$
3	Oliver Wahlstrom (R)			X		100.00	65	46	88	64	83	74	72	69	53	64	62	68	56	60	62	87	19	64	0	20	3	925,000$
4	Colin Blackwell (R)		X			100.00	58	41	88	63	67	73	70	62	64	61	60	58	62	73	67	54	19	61	0	28	3	575,000$
5	Brandon Gignac (R)		X			100.00	50	35	66	70	69	46	50	70	70	56	53	64	50	53	53	62	19	57	0	23	2	925,000$
6	Andreas Borgman (R)				X	100.00	86	50	70	60	76	63	99	67	30	65	64	69	52	71	58	39	38	66	0	25	1	925,000$
7	Kyle Capobianco (R)				X	100.00	61	47	84	64	77	79	73	69	30	69	62	68	55	65	62	68	13	65	0	23	1	894,167$
8	Petteri Lindbohm (R)				X	100.00	54	25	84	65	79	53	70	50	25	45	41	74	50	78	73	67	20	61	0	27	1	575,000$

	MOYENNE D'ÉQUIPE					100.00	69	42	80	66	76	73	77	72	51	70	65	73	59	67	63	60	41	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	Elvis Merzlikins (R)	95.00	93	85	83	83	94	94	96	95	94	93	89	71	75	62	61	87	0
2	Joni Ortio (R)	100.00	78	77	71	78	77	89	91	92	91	77	76	82	78	59	57	81	0
Rayé
1	Michael Dipietro (R)	100.00	79	68	66	77	80	79	81	80	79	79	75	61	65	67	19	74	0

	MOYENNE D'ÉQUIPE	98.33	83	77	73	79	84	87	89	89	88	83	80	71	73	63	46	81

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Boudreau	99	98	87	96	99	99	90	CAN	65	3	3,000,000$

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	Richard Panik	Capitals (WAS)	LW	82	28	46	74	-3	41	5	162	156	254	90	160	11.02%	33	1641	20.01	9	13	22	38	213	2	0	2	12	262	5	2	44.80%	250	68	37	1	0	0.90	1	6	0	1	0	4	5	3
2	Dominik Simon	Capitals (WAS)	C	82	22	44	66	-12	6	0	141	162	204	62	130	10.78%	33	1458	17.78	7	12	19	22	188	0	1	1	5	110	2	1	49.89%	1367	36	18	0	0	0.91	0	2	0	0	0	1	2	4
3	Stefan Noesen	Capitals (WAS)	RW	82	22	36	58	-10	59	5	178	113	171	72	126	12.87%	37	1504	18.34	7	9	16	27	214	1	1	2	4	130	2	1	45.45%	121	54	31	1	0	0.77	4	6	0	1	0	1	4	0
4	Brendan Leipsic	Capitals (WAS)	LW	76	21	31	52	0	24	0	108	102	209	66	128	10.05%	31	1235	16.26	4	8	12	20	151	2	0	2	6	46	2	0	63.93%	61	47	16	0	0	0.84	1	2	0	0	0	3	2	5
5	Marko Dano	Capitals (WAS)	C	46	26	23	49	7	67	25	113	110	183	41	99	14.21%	13	904	19.67	6	7	13	32	131	1	2	3	3	154	4	1	47.33%	1067	23	12	0	1	1.08	2	3	2	1	2	4	3	4
6	J.T. Brown	Capitals (WAS)	RW	82	25	23	48	-9	40	10	160	85	203	67	106	12.32%	35	1270	15.49	3	8	11	9	130	0	0	0	1	0	2	3	48.05%	77	47	25	0	1	0.76	1	1	1	1	0	2	3	1
7	Warren Foegele	Capitals (WAS)	RW	78	20	26	46	-5	24	0	126	94	194	70	107	10.31%	33	1181	15.14	0	1	1	2	46	0	0	0	0	7	3	0	35.90%	78	35	18	2	0	0.78	0	0	0	0	0	3	3	3
8	Mark Barberio	Capitals (WAS)	D	74	8	34	42	-10	28	0	80	163	133	59	56	6.02%	102	1712	23.15	3	17	20	19	207	1	3	4	3	230	1	0	0.00%	0	49	50	0	0	0.49	0	0	0	0	0	0	1	1
9	Filip Chytil	Capitals (WAS)	C	82	19	21	40	-17	8	0	102	150	174	49	123	10.92%	25	1227	14.96	2	1	3	6	64	0	0	0	0	9	1	4	50.98%	1222	48	24	0	2	0.65	1	1	0	0	0	3	3	1
10	Scott Harrington	Capitals (WAS)	D	75	8	28	36	0	71	5	127	140	96	50	45	8.33%	91	1706	22.75	5	6	11	14	198	0	0	0	3	206	0	2	0.00%	0	33	48	0	0	0.42	0	0	0	0	1	1	0	2
11	Michael Sgarbossa	Capitals (WAS)	C	82	19	16	35	-6	24	10	62	112	161	41	87	11.80%	27	968	11.81	0	0	0	0	1	0	0	0	1	56	2	0	52.89%	709	20	13	0	1	0.72	0	0	1	0	1	2	3	1
12	Rudolfs Balcers	Capitals (WAS)	LW	82	10	21	31	-12	22	0	107	121	153	59	96	6.54%	37	1271	15.51	0	0	0	2	15	0	0	0	3	76	0	1	45.12%	82	27	24	0	0	0.49	0	0	0	0	0	0	1	1
13	Rasmus Andersson	Capitals (WAS)	D	82	3	20	23	-14	64	10	105	145	85	35	42	3.53%	98	1757	21.43	0	1	1	2	169	1	1	2	1	181	0	0	0.00%	0	14	50	0	0	0.26	0	0	1	0	1	0	1	1
14	Ilya Lyubushkin	Capitals (WAS)	D	82	6	17	23	-9	54	10	180	116	56	31	24	10.71%	104	1685	20.55	2	0	2	5	153	0	0	0	1	154	1	0	0.00%	0	16	41	0	0	0.27	0	0	0	0	1	0	2	1
15	Anton Blidh	Capitals (WAS)	LW	82	7	7	14	-13	10	0	64	55	56	20	29	12.50%	9	672	8.20	0	0	0	0	0	0	0	0	0	2	3	1	47.37%	19	16	5	0	0	0.42	0	0	0	0	0	0	2	0
16	Zack MacEwen	Capitals (WAS)	RW	82	4	5	9	-16	20	10	84	38	68	23	38	5.88%	18	655	7.99	0	0	0	0	1	0	0	0	0	5	1	0	44.44%	9	17	7	0	0	0.27	0	0	1	1	0	0	0	3
17	Andreas Borgman	Capitals (WAS)	D	63	1	7	8	-13	69	15	133	73	35	18	26	2.86%	49	1062	16.87	0	0	0	0	23	0	0	0	0	30	0	0	0.00%	0	10	25	0	0	0.15	0	1	0	1	2	0	0	0
18	Igor Ozhiganov	Capitals (WAS)	D	31	0	7	7	-6	18	0	44	36	25	8	7	0.00%	28	532	17.19	0	0	0	0	0	0	0	0	0	28	0	0	0.00%	0	3	15	0	0	0.26	0	0	0	0	0	0	0	0
19	Blake Pietila	Capitals (WAS)	C	36	2	4	6	-9	10	0	24	28	73	14	41	2.74%	7	295	8.21	0	0	0	0	0	0	0	0	0	13	0	0	36.52%	115	8	5	0	0	0.41	0	0	0	0	0	0	0	1
20	Cale Fleury	Capitals (WAS)	D	42	1	5	6	-13	11	5	47	58	27	13	16	3.70%	38	728	17.35	0	0	0	2	19	0	0	0	0	21	0	0	0.00%	0	4	20	0	0	0.16	0	0	0	0	1	0	0	0
21	Kyle Capobianco	Capitals (WAS)	D	43	0	4	4	-8	8	0	32	42	31	13	12	0.00%	29	714	16.63	0	0	0	1	1	0	0	0	0	28	0	0	0.00%	0	16	11	0	0	0.11	0	1	0	0	0	0	0	0
22	Brandon Gignac	Capitals (WAS)	LW	2	0	0	0	-1	2	0	0	1	0	3	1	0.00%	2	16	8.15	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Martin Kaut	Capitals (WAS)	RW	4	0	0	0	-2	0	0	0	2	2	0	2	0.00%	1	30	7.58	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	1	0	0	0.00	0	0	0	0	0	0	0	0
24	Colin Blackwell	Capitals (WAS)	LW	4	0	0	0	-2	0	0	1	0	2	0	3	0.00%	1	25	6.48	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	252	425	677	-183	680	110	2180	2102	2595	904	1504	9.71%	881	24260	16.44	48	83	131	201	1933	8	8	16	43	1759	29	16	49.23%	5180	593	496	4	5	0.56	10	23	6	6	9	24	35	32

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	Elvis Merzlikins	Capitals (WAS)	68	25	32	5	0.890	3.47	3681	8	213	1931	820	3	1	0.600	10	63	19	3	2	3
2	Joni Ortio	Capitals (WAS)	28	9	11	0	0.885	3.88	1269	2	82	716	313	1	0	0.818	11	19	63	2	2	0
Stats d'équipe Total ou en Moyenne			96	34	43	5	0.889	3.58	4951	10	295	2647	1133	4	1	0.714	21	82	82	5	4	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
Andreas Borgman	Capitals (WAS)	D	25	1995-06-18 04:45:15	Yes	212 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$

	Capitals
	GP: 82 \| W: 34 \| L: 43 \| OTL: 5 \| P: 73 GF: 257 \| GA: 297 \| PP%: 19.75% \| PK%: 79.41% DG: Pierre-Marc Brochu \| Morale : 39 \| Moyenne d'Équipe : 68