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	Elias Pettersson (R)	X				100.00	64	38	88	84	76	84	85	90	76	90	86	81	84	63	67	88	71	78	0	22	2	925,000$
2	Phillip Danault (R)	X				100.00	76	49	80	73	78	83	90	79	92	91	81	93	71	74	75	67	68	78	0	28	1	1,000,000$
3	Travis Konecny (R)		X			100.00	68	38	84	79	65	81	88	83	54	89	85	70	79	65	66	81	71	75	0	24	3	1,250,000$
4	Cory Emmerton (R)	X				100.00	33	28	99	65	73	68	81	99	90	81	80	87	64	89	84	32	70	75	0	32	1	900,000$
5	Kaspars Daugavins			X		100.00	77	66	67	57	77	66	80	96	77	90	75	71	62	91	86	21	74	74	0	33	1	1,000,000$
6	Jakub Vrana (R)		X			100.00	58	43	86	79	73	82	89	83	53	80	80	76	78	67	68	83	68	74	0	25	3	1,000,000$
7	Matt Nieto (R)			X		100.00	60	42	86	72	72	81	89	81	63	75	76	90	63	77	63	65	70	73	0	28	3	1,000,000$
8	Jeremy Williams			X		100.00	13	1	99	63	72	52	57	87	31	74	94	85	83	99	99	50	71	72	0	37	2	800,000$
9	Emil Bemstrom (R)		X			100.00	71	39	88	68	72	74	75	73	53	71	70	69	68	61	65	63	70	67	0	21	3	925,000$
10	Justin Bailey (R)			X		100.00	67	46	88	63	89	78	80	69	59	66	64	71	62	69	64	71	69	66	0	25	2	575,000$
11	Tyler Graovac (R)	X				100.00	67	46	83	62	91	69	71	70	75	65	64	71	62	73	67	52	63	66	0	28	2	575,000$
12	Kalle Kossila (R)		X			100.00	55	42	74	67	71	67	94	70	67	69	63	68	50	71	57	35	69	65	0	28	1	575,000$
13	Filip Hronek (R)				X	100.00	81	45	75	73	71	89	83	79	30	83	74	73	53	65	63	71	59	72	0	23	2	714,166$
14	Marcus Pettersson (R)				X	100.00	80	56	74	65	79	83	90	71	30	82	58	82	51	67	64	73	54	72	0	25	1	894,167$
15	Anthony DeAngelo (R)				X	100.00	65	51	67	74	68	85	82	80	30	88	75	65	61	69	68	79	69	71	0	25	3	700,000$
16	Mario Ferraro (R)				X	100.00	85	39	78	64	69	83	81	70	30	75	59	72	52	63	61	73	62	68	0	22	3	925,000$
17	Lucas Carlsson (R)				X	100.00	59	43	89	63	72	82	79	69	30	66	61	72	52	65	67	63	21	66	0	23	3	792,500$
18	Andrew Peeke (R)				X	100.00	64	42	90	61	82	75	67	66	30	66	61	69	47	63	62	77	18	64	0	23	3	916,667$
Rayé
1	Carter Verhaeghe (R)	X				100.00	58	39	86	64	73	79	81	69	72	69	64	72	64	69	66	62	20	66	0	25	3	700,000$
2	Alexander True (R)	X				100.00	71	45	84	64	89	72	69	70	74	68	62	68	64	65	63	53	20	65	0	23	3	763,333$
3	Nikita Soshnikov (R)		X			100.00	53	41	78	71	71	74	67	68	61	63	59	74	61	67	63	43	20	64	0	27	2	575,000$
4	A.J. Greer (R)		X			100.00	60	35	62	69	80	50	57	74	52	68	66	74	55	53	52	73	20	63	0	24	3	575,000$
5	Antti Suomela (R)	X				100.00	58	41	88	62	70	78	77	68	66	66	62	65	62	71	66	51	20	63	0	27	2	700,000$
6	Scott Sabourin (R)			X		100.00	71	65	82	56	85	63	66	54	51	53	53	58	56	75	68	36	20	58	0	28	2	575,000$
7	Kristian Vesalainen (R)		X			100.00	57	35	72	65	80	50	52	65	50	55	52	65	51	52	52	81	20	57	0	21	2	925,000$
8	Keaton Ellerby (R)				X	92.55	99	54	64	60	82	65	74	77	49	65	56	88	57	88	87	46	43	73	0	32	2	1,250,000$
9	Niko Mikkola (R)				X	100.00	68	46	89	62	83	85	82	68	30	66	61	70	55	67	64	56	53	67	0	25	3	842,500$
10	Cody Goloubef (R)				X	100.00	67	39	83	56	75	77	64	61	30	58	55	78	46	79	71	59	20	65	0	31	3	575,000$
11	Nicolas Beaudin (R)				X	100.00	56	42	88	59	66	83	74	65	30	63	60	63	45	61	62	80	20	62	0	21	3	894,167$
12	Jake Bean (R)				X	100.00	51	35	67	69	73	45	51	69	30	56	53	62	50	60	53	82	20	58	0	22	2	863,333$

	MOYENNE D'ÉQUIPE					99.73	64	42	81	66	76	73	76	74	52	72	67	73	60	70	67	62	47	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	Viktor Fasth	99.00	75	80	72	78	76	97	97	97	97	83	91	99	99	1	71	85	0
2	Ilya Samsonov (R)	100.00	84	72	70	88	85	84	86	85	84	84	80	65	69	81	69	79	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	80	76	71	83	81	91	92	91	91	84	86	82	84	41	70	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	62	77	69	54	76	70	63	CAN	49	2	600,000$

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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	Travis Konecny	Ducks (ANA)	LW	81	37	61	98	-4	18	0	117	118	269	75	167	13.75%	42	1518	18.74	13	17	30	55	238	1	1	2	9	115	4	3	44.05%	84	78	22	1	1	1.29	1	5	0	0	0	3	5	9
2	Jeremy Williams	Ducks (ANA)	RW	81	57	30	87	16	0	0	2	124	353	91	187	16.15%	41	1191	14.71	0	0	0	2	16	0	0	0	1	0	5	1	39.24%	79	45	30	0	6	1.46	2	2	0	0	0	6	7	3
3	Elias Pettersson	Ducks (ANA)	C	81	36	48	84	1	20	0	129	187	269	94	153	13.38%	48	1552	19.17	6	12	18	32	200	1	1	2	3	197	3	1	50.26%	1353	66	21	1	1	1.08	0	6	0	0	0	5	6	4
4	Phillip Danault	Ducks (ANA)	C	74	32	49	81	2	27	15	126	204	174	58	101	18.39%	56	1457	19.70	6	19	25	34	219	1	1	2	3	183	8	1	55.36%	1660	33	29	0	2	1.11	3	6	1	2	0	6	2	5
5	Kaspars Daugavins	Ducks (ANA)	RW	81	32	44	76	-4	117	45	142	93	208	77	113	15.38%	30	1357	16.76	11	13	24	31	227	0	0	0	0	1	5	5	60.87%	69	26	14	0	1	1.12	0	4	3	1	5	3	4	2
6	Cory Emmerton	Ducks (ANA)	C	81	23	52	75	14	0	0	41	178	244	99	157	9.43%	33	1269	15.67	0	1	1	3	13	1	0	1	2	85	4	1	57.96%	1237	38	29	0	0	1.18	2	5	0	0	0	4	2	4
7	Jakub Vrana	Ducks (ANA)	LW	81	33	37	70	2	13	5	85	79	229	65	154	14.41%	26	1317	16.26	7	4	11	30	195	0	0	0	0	3	6	2	36.00%	75	52	17	0	1	1.06	0	1	0	1	0	6	3	5
8	Anthony DeAngelo	Ducks (ANA)	D	81	5	31	36	8	65	5	144	121	76	39	41	6.58%	76	1677	20.72	0	3	3	3	176	1	0	1	6	110	0	1	0.00%	0	38	41	0	0	0.43	0	0	0	1	0	0	0	1
9	Filip Hronek	Ducks (ANA)	D	76	11	20	31	17	32	0	176	133	81	35	38	13.58%	76	1656	21.80	2	1	3	12	186	0	1	1	1	140	1	1	0.00%	0	18	44	0	0	0.37	0	0	0	0	0	0	2	2
10	Matt Nieto	Ducks (ANA)	RW	81	10	21	31	-2	17	5	121	130	126	38	66	7.94%	36	1315	16.24	3	6	9	9	199	0	0	0	0	2	1	1	48.28%	58	14	26	0	0	0.47	0	0	0	0	1	0	2	0
11	Tyler Graovac	Ducks (ANA)	C	77	10	15	25	0	2	0	68	93	84	14	44	11.90%	26	735	9.55	0	0	0	0	0	1	2	3	3	53	0	0	50.54%	372	8	13	0	0	0.68	0	0	0	0	0	2	0	1
12	Marcus Pettersson	Ducks (ANA)	D	81	1	22	23	-13	58	10	192	168	61	33	32	1.64%	116	1850	22.85	0	5	5	6	248	0	0	0	1	176	0	0	0.00%	0	15	50	0	0	0.25	0	0	0	2	0	0	0	0
13	Keaton Ellerby	Ducks (ANA)	D	70	4	19	23	-5	127	35	208	107	73	22	35	5.48%	100	1549	22.14	4	5	9	17	228	0	1	1	0	133	0	2	0.00%	0	11	47	0	0	0.30	0	0	1	3	3	0	1	1
14	Emil Bemstrom	Ducks (ANA)	LW	81	6	16	22	16	12	0	153	68	73	26	58	8.22%	16	1173	14.49	0	0	0	0	6	0	0	0	0	6	1	1	41.79%	67	7	24	0	0	0.37	0	0	0	0	0	1	1	1
15	Kalle Kossila	Ducks (ANA)	LW	81	6	10	16	-7	22	0	40	46	90	27	48	6.67%	18	667	8.24	0	0	0	0	0	0	0	0	0	18	1	0	26.67%	15	28	12	0	0	0.48	0	1	0	0	0	1	1	0
16	Justin Bailey	Ducks (ANA)	RW	81	6	9	15	-7	6	0	59	53	62	19	52	9.68%	11	649	8.02	0	1	1	0	2	0	0	0	0	3	0	2	41.67%	12	9	9	0	0	0.46	0	0	0	0	0	1	0	1
17	Mario Ferraro	Ducks (ANA)	D	77	0	9	9	-6	32	0	145	104	45	17	25	0.00%	90	1293	16.80	0	0	0	1	33	0	0	0	0	16	0	0	0.00%	0	5	41	0	0	0.14	0	0	0	0	0	0	0	0
18	Niko Mikkola	Ducks (ANA)	D	65	0	8	8	4	14	0	78	78	28	23	18	0.00%	64	1111	17.09	0	0	0	0	4	0	1	1	0	74	0	0	0.00%	0	14	36	0	0	0.14	0	1	0	0	0	0	0	0
19	Lucas Carlsson	Ducks (ANA)	D	29	1	7	8	13	2	0	30	47	18	14	7	5.56%	25	509	17.57	0	0	0	0	2	0	0	0	0	22	0	0	0.00%	0	5	13	0	0	0.31	0	0	0	0	0	0	0	1
20	Andrew Peeke	Ducks (ANA)	D	7	0	4	4	4	0	0	3	10	6	2	2	0.00%	4	123	17.61	0	0	0	0	0	0	0	0	0	6	0	0	0.00%	0	2	4	0	0	0.65	0	0	0	0	0	0	0	0
21	Carter Verhaeghe	Ducks (ANA)	C	11	0	0	0	-2	0	0	5	3	13	1	6	0.00%	2	83	7.61	0	0	0	0	0	0	0	0	0	0	0	0	36.84%	38	4	4	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1458	310	512	822	47	584	120	2064	2144	2582	869	1504	12.01%	936	24060	16.50	52	87	139	235	2199	6	8	14	29	1353	39	22	53.14%	5119	516	526	2	12	0.68	8	31	5	10	9	38	36	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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Viktor Fasth	Ducks (ANA)	48	21	16	7	0.891	3.43	2695	0	1	154	1410	597	3	2	0.680	25	43	38	1	3	0
2	Ilya Samsonov	Ducks (ANA)	41	20	14	3	0.880	3.81	2205	2	0	140	1165	514	1	0	0.400	5	38	43	2	2	2
Stats d'équipe Total ou en Moyenne			89	41	30	10	0.886	3.60	4900	2	1	294	2575	1111	4	2	0.633	30	81	81	3	5	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
A.J. Greer	Ducks (ANA)	LW	24	1996-12-14 05:26:22	Yes	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$

	Ducks
	GP: 81 \| W: 41 \| L: 30 \| OTL: 10 \| P: 92 GF: 312 \| GA: 300 \| PP%: 19.19% \| PK%: 78.57% DG: Sébastien Charbonneau \| Morale : 48 \| Moyenne d'Équipe : 69 Prochain matchs #980 vs Stars