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	Jake Guentzel (R)		X			100.00	69	39	85	78	71	87	88	90	59	87	90	93	78	71	69	62	63	79	0	26	3	2,500,000$
2	Jake DeBrusk (R)			X		100.00	63	35	78	77	73	87	87	89	66	96	86	88	67	58	59	81	60	78	0	24	1	1,288,330$
3	Danton Heinen (R)	X				100.00	63	41	86	77	73	83	95	91	66	89	76	75	53	72	56	55	57	75	0	25	3	1,250,000$
4	Kevin Fiala (R)			X		100.00	57	39	83	78	69	80	88	88	53	88	84	69	74	67	68	83	59	75	0	24	1	1,000,000$
5	Oscar Lindberg (R)	X				100.00	78	35	71	69	76	84	86	88	81	83	81	77	58	79	60	53	47	75	0	29	1	900,000$
6	Roope Hintz (R)		X			100.00	79	42	84	76	87	82	80	80	79	75	77	75	76	67	69	73	56	73	0	24	2	811,667$
7	Joel Armia (R)			X		100.00	87	43	84	70	89	81	79	76	54	74	76	86	71	73	69	70	57	73	0	27	1	800,000$
8	Adrian Kempe (R)		X			100.00	73	44	78	72	81	83	89	78	77	76	72	79	72	67	66	77	56	72	0	24	3	800,000$
9	Devin Shore (R)	X				100.00	59	37	90	71	75	72	98	78	71	77	69	80	66	74	62	47	56	71	0	26	2	700,000$
10	Daniel Carr (R)			X		100.00	62	42	88	65	73	80	77	70	61	70	67	69	65	77	69	56	56	66	0	29	2	575,000$
11	Henrik Borgstrom (R)	X				100.00	64	43	86	64	83	80	77	73	73	67	62	70	66	65	62	81	36	66	0	23	2	925,000$
12	Alan Quine (R)		X			100.00	61	43	90	66	75	77	76	71	67	71	65	69	66	73	67	52	56	66	0	28	2	575,000$
13	Thomas Chabot (R)				X	100.00	67	35	79	79	75	94	83	90	30	95	80	85	69	57	59	81	51	76	0	24	3	2,000,000$
14	Joel Edmundson (R)				X	100.00	84	55	63	66	89	85	84	72	30	77	75	88	52	73	67	62	49	75	0	27	2	2,000,000$
15	Ladislav Smid				X	100.00	99	79	45	62	77	82	83	87	50	66	55	72	50	99	99	28	49	73	0	35	3	900,000$
16	Darren Dietz (R)				X	100.00	95	45	82	63	75	62	87	77	25	68	57	79	50	59	55	43	54	69	0	27	2	600,000$
17	Noah Dobson (R)				X	100.00	58	42	87	68	83	74	61	73	30	75	57	69	51	60	63	87	27	65	0	21	3	894,167$
18	Joel Hanley (R)				X	100.00	58	42	82	60	71	78	72	65	30	65	60	63	53	77	67	52	20	63	0	29	1	575,000$
Rayé
1	Josh Norris (R)	X				100.00	62	38	86	65	79	85	74	70	76	68	67	69	63	61	65	83	20	66	0	22	3	925,000$
2	Kevin Stenlund (R)	X				100.00	66	46	89	62	88	83	78	68	72	65	62	67	62	67	63	68	20	65	0	24	2	864,166$
3	Mitchell Stephens (R)	X				100.00	59	45	89	61	72	77	73	70	76	66	63	69	64	65	63	77	20	64	0	24	3	833,333$
4	Givani Smith (R)			X		100.00	64	53	81	61	82	74	73	66	52	63	61	67	59	63	62	74	20	63	0	23	3	714,166$
5	Haydn Fleury (R)				X	92.10	67	42	83	67	85	78	72	73	30	74	61	72	52	67	64	85	45	68	0	24	1	1,713,330$
6	Brett Carson				X	100.00	60	27	99	62	80	62	66	51	24	49	47	80	50	99	99	54	20	66	0	35	2	575,000$
7	Dean Kukan (R)				X	90.07	56	41	89	63	79	82	72	68	30	71	55	71	49	73	67	36	28	66	0	27	2	725,000$
8	Jeremy Lauzon (R)				X	52.70	63	49	79	61	78	80	76	66	30	64	59	71	53	65	62	72	18	65	0	24	2	747,500$
9	Evan Bouchard (R)				X	100.00	60	35	77	57	77	72	53	64	30	62	60	64	50	59	52	86	20	60	0	21	2	925,000$

	MOYENNE D'ÉQUIPE					97.56	68	43	82	67	78	79	79	75	53	73	68	75	61	70	66	66	41	69

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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	Alexandar Georgiev (R)	98.00	91	95	93	76	92	94	96	94	94	91	87	67	71	62	63	87	0
2	Magnus Hellberg (R)	100.00	79	86	82	82	82	89	80	89	81	73	74	86	85	48	56	81	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	85	91	88	79	87	92	88	92	88	82	81	77	78	55	60	84

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul MacLean	91	71	74	88	99	83	78	FRA	62	2	1,000,000$

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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	Jake Guentzel	Flames (CGY)	LW	81	41	45	86	9	14	0	135	176	250	76	142	16.40%	54	1645	20.32	10	10	20	44	230	5	2	7	12	262	6	1	42.64%	523	63	40	1	4	1.05	2	11	0	0	0	5	10	2
2	Kevin Fiala	Flames (CGY)	RW	81	47	37	84	6	22	0	98	109	267	94	156	17.60%	35	1403	17.33	10	11	21	34	182	1	1	2	11	92	8	1	44.19%	86	80	20	0	3	1.20	2	6	0	0	0	8	4	2
3	Jake DeBrusk	Flames (CGY)	RW	81	32	48	80	7	45	5	136	126	227	66	145	14.10%	43	1624	20.05	7	15	22	41	230	2	3	5	7	243	5	0	42.86%	154	54	25	0	1	0.99	0	10	0	0	1	3	4	3
4	Oscar Lindberg	Flames (CGY)	C	73	24	41	65	3	38	0	150	138	207	59	110	11.59%	29	1181	16.18	8	9	17	28	166	0	0	0	1	16	4	1	53.87%	1084	44	21	0	0	1.10	2	2	0	0	0	2	6	4
5	Danton Heinen	Flames (CGY)	C	81	21	43	64	4	12	0	108	127	181	78	115	11.60%	23	1459	18.02	6	10	16	25	223	1	0	1	6	106	3	1	45.31%	1492	55	19	1	0	0.88	2	8	0	0	0	4	1	4
6	Joel Armia	Flames (CGY)	RW	81	32	28	60	8	26	0	166	103	181	68	106	17.68%	25	1188	14.67	0	0	0	0	8	0	0	0	0	0	1	1	35.53%	76	58	18	0	0	1.01	0	0	0	0	0	4	2	4
7	Devin Shore	Flames (CGY)	C	81	23	35	58	16	2	0	73	177	187	44	106	12.30%	28	1241	15.33	0	0	0	0	18	0	1	1	3	65	2	0	51.41%	1206	33	24	0	0	0.93	0	0	0	0	0	2	1	4
8	Thomas Chabot	Flames (CGY)	D	72	12	46	58	28	36	0	107	155	141	70	64	8.51%	96	1680	23.33	6	5	11	25	211	0	3	3	1	223	0	0	0.00%	0	35	48	1	0	0.69	0	0	0	0	0	2	3	1
9	Adrian Kempe	Flames (CGY)	LW	81	17	35	52	8	40	0	117	103	190	64	139	8.95%	28	1164	14.38	0	0	0	0	5	0	0	0	0	0	1	3	47.95%	73	48	22	0	0	0.89	0	0	0	0	0	1	4	3
10	Roope Hintz	Flames (CGY)	LW	81	12	25	37	6	27	15	136	102	105	38	80	11.43%	26	1342	16.58	3	7	10	9	182	0	0	0	0	57	1	2	54.43%	79	27	19	0	0	0.55	0	0	0	1	2	0	2	3
11	Joel Edmundson	Flames (CGY)	D	81	4	21	25	22	155	35	249	155	89	34	35	4.49%	118	1840	22.72	0	6	6	17	240	0	1	1	1	206	0	1	0.00%	0	19	46	0	0	0.27	0	0	1	3	2	1	1	5
12	Alan Quine	Flames (CGY)	LW	81	8	13	21	1	2	0	46	36	108	35	70	7.41%	11	621	7.68	0	0	0	0	0	0	0	0	0	5	4	0	42.86%	14	18	9	0	0	0.68	0	0	0	0	0	1	2	0
13	Ladislav Smid	Flames (CGY)	D	76	1	20	21	-4	190	50	214	97	77	30	29	1.30%	85	1572	20.69	0	2	2	9	171	0	0	0	2	115	0	0	0.00%	0	15	32	0	0	0.27	0	0	6	4	0	0	0	0
14	Daniel Carr	Flames (CGY)	RW	81	11	6	17	0	0	0	57	40	98	35	69	11.22%	10	623	7.70	0	0	0	0	2	0	0	0	0	1	0	1	64.29%	14	20	8	0	0	0.54	0	0	0	0	0	1	0	0
15	Haydn Fleury	Flames (CGY)	D	81	4	12	16	-1	34	0	95	77	58	26	22	6.90%	76	1405	17.35	0	1	1	2	39	0	0	0	0	43	0	1	0.00%	0	9	32	0	0	0.23	0	0	0	0	0	0	0	2
16	Darren Dietz	Flames (CGY)	D	81	1	15	16	-2	47	25	153	136	61	30	28	1.64%	90	1638	20.23	0	3	3	2	152	0	0	0	0	136	0	0	0.00%	0	7	45	0	0	0.20	0	0	1	1	2	0	0	0
17	Thomas Hickey	Flames	D	4	2	6	8	4	0	0	5	9	11	2	2	18.18%	3	97	24.44	0	2	2	1	9	0	1	1	0	21	1	0	0.00%	0	0	1	0	0	1.64	0	0	0	0	0	1	0	2
18	Henrik Borgstrom	Flames (CGY)	C	41	1	6	7	1	8	0	26	32	27	12	30	3.70%	7	368	8.99	0	0	0	0	0	0	0	0	0	5	0	0	52.21%	226	4	6	0	0	0.38	0	0	0	0	0	0	0	0
19	Josh Norris	Flames (CGY)	C	48	4	3	7	-1	6	0	32	31	53	14	30	7.55%	5	366	7.63	0	0	0	0	0	0	0	0	0	0	0	0	45.73%	164	13	3	0	0	0.38	0	0	0	0	0	0	0	0
20	Dean Kukan	Flames (CGY)	D	46	1	5	6	1	2	0	25	59	31	5	11	3.23%	43	778	16.91	0	0	0	0	1	0	0	0	0	55	0	0	0.00%	0	4	19	0	0	0.15	0	0	0	0	0	0	0	0
21	Noah Dobson	Flames (CGY)	D	26	0	6	6	5	0	0	18	26	17	9	9	0.00%	24	449	17.29	0	0	0	0	0	0	0	0	0	30	0	0	0.00%	0	3	15	0	0	0.27	0	0	0	0	0	0	0	0
22	Jeremy Lauzon	Flames (CGY)	D	19	0	3	3	-2	11	5	20	24	14	8	4	0.00%	20	345	18.17	0	0	0	0	8	0	0	0	1	30	0	0	0.00%	0	1	9	0	0	0.17	0	0	1	0	0	0	0	1
Stats d'équipe Total ou en Moyenne				1458	298	499	797	119	717	135	2166	2038	2580	897	1502	11.55%	879	24040	16.49	50	81	131	237	2086	9	12	21	45	1720	36	13	48.55%	5191	610	481	3	8	0.66	8	37	9	9	7	35	40	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	PS %	PSA	ST	BG	S1	S2	S3
1	Alexandar Georgiev	Flames (CGY)	65	33	20	7	0.890	3.66	3610	2	2	220	1998	860	2	0.750	24	60	21	9	1	3
2	Magnus Hellberg	Flames (CGY)	27	7	8	6	0.884	3.57	1310	0	0	78	670	290	1	0.700	10	21	60	0	1	1
Stats d'équipe Total ou en Moyenne			92	40	28	13	0.888	3.63	4921	2	2	298	2668	1150	3	0.735	34	81	81	9	2	4

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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
Adrian Kempe	Flames (CGY)	LW	24	1996-09-13 05:44:01	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$

	Flames
	GP: 81 \| W: 40 \| L: 28 \| OTL: 13 \| P: 93 GF: 302 \| GA: 304 \| PP%: 19.31% \| PK%: 73.67% DG: Benoit Talbot \| Morale : 35 \| Moyenne d'Équipe : 70 Prochain matchs #982 vs Kings