Ligue Canadienne de Hockey Simulé

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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
1	Jonathan Drouin (R)			X		100.00	68	46	79	80	75	84	92	85	79	92	97	74	59	69	56	87	85	78	0
2	William Nylander (R)	X				100.00	55	38	91	80	74	88	98	87	80	94	89	74	57	66	59	85	87	78	0
3	Johan Larsson (R) (A)	X				100.00	62	43	78	66	76	82	81	99	92	83	85	87	70	79	73	63	86	77	0
4	Victor Rask	X				100.00	66	41	87	73	75	79	70	84	94	91	92	78	50	74	68	69	84	76	0
5	Robby Fabbri (R)		X			100.00	60	54	84	78	69	69	77	87	69	87	94	76	59	81	61	93	84	76	0
6	Joonas Donskoi (R)		X			100.00	60	35	75	73	71	76	68	87	60	96	89	82	63	69	64	59	86	76	0
7	Brett Connolly (R)			X		100.00	63	35	72	73	82	81	94	72	58	86	85	88	71	79	55	75	86	75	0
8	Andre Burakovsky (R)		X			100.00	61	47	80	75	74	75	81	82	59	86	89	75	63	66	66	85	86	74	0
9	Matt Ellison (A)			X		100.00	99	81	52	61	75	51	54	82	88	92	83	81	69	92	99	41	85	74	0
10	Steve Bernier			X		100.00	59	41	89	52	84	92	97	74	45	68	77	90	85	80	99	28	86	73	0
11	Michael Chaput (R)	X				100.00	64	35	69	67	80	71	70	72	87	91	73	81	68	74	72	49	86	72	0
12	Stanislav Chistov		X			100.00	30	1	99	59	75	69	76	47	40	44	49	86	59	93	99	21	85	60	0
13	Jon Merrill				X	100.00	57	22	99	66	77	88	86	99	52	94	87	83	69	76	71	43	86	77	0
14	Damon Severson (R)				X	100.00	67	35	74	71	84	90	95	78	30	95	91	77	72	75	72	65	86	77	0
15	Jaccob Slavin (R)				X	100.00	58	37	96	72	76	89	97	80	30	78	76	95	59	71	62	55	86	76	0
16	Noah Hanifin (R)				X	100.00	68	35	84	70	86	87	93	69	30	87	83	81	59	72	85	86	86	75	0
17	Esa Lindell (R)				X	100.00	76	38	79	69	86	95	95	69	30	72	74	84	60	68	53	63	86	74	0
18	Shea Theodore (R)				X	100.00	59	35	82	75	74	85	92	70	30	88	81	80	65	72	52	78	86	73	0
19	Joel Edmundson (R)				X	100.00	81	51	74	65	80	85	85	77	30	70	78	84	58	71	59	70	85	73	0
20	Duncan Siemens (R)				X	100.00	59	42	75	57	78	50	85	49	30	48	48	83	51	60	56	79	86	62	0
Rayé
1	Nikita Scherbak (R)		X			100.00	55	35	71	68	79	65	69	62	56	65	57	65	51	66	53	78	27	61	0
2	Dustin Jeffrey (R)	X				100.00	88	75	78	64	72	63	70	60	85	60	53	67	56	68	68	44	20	61	0
3	Andrew Agozzino (R)			X		100.00	53	35	61	70	68	53	55	70	53	67	68	68	56	51	50	36	20	61	0
4	Hunter Shinkaruk (R)	X				100.00	46	35	79	68	71	47	43	58	40	53	55	61	55	62	55	77	20	55	0
5	Alexander Sulzer				X	100.00	21	20	99	62	77	61	76	70	58	67	58	70	64	91	85	7	23	63	0

	MOYENNE D'ÉQUIPE					100.00	61	40	80	69	77	75	80	75	56	78	76	79	62	73	68	61	73	71

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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	Louis Domingue (R)	100.00	86	74	94	85	85	99	99	90	89	85	59	79	73	48	86	85	0
2	David Rittich (R)	100.00	90	86	85	85	89	93	95	94	93	89	82	55	73	37	86	85	0
Rayé
1	Marek Schwarz	100.00	72	40	73	75	72	81	81	81	81	71	77	99	97	30	20	73	0
2	Leland Irving (R)	100.00	76	61	70	73	71	72	72	74	74	70	68	84	99	40	20	71	0

	MOYENNE D'ÉQUIPE	100.00	81	65	81	80	79	86	87	85	84	79	72	79	86	39	53	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Richards	95	87	86	96	89	73	84	USA	53	3	1,900,000$

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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	P/20	FW	FL	FT	S1	S2	S3
1	William Nylander	Wild (MIN)	C	13	6	12	18	-7	0	0	12	34	52	9	23	11.54%	4	264	20.38	5	6	11	14	51	0	0	0	0	0	2	0	53.85%	325	4	7	1.36	0	0	0	1	1	0
2	Joonas Donskoi	Wild (MIN)	LW	13	5	12	17	-1	14	0	32	17	50	17	19	10.00%	9	250	19.29	1	5	6	8	51	0	0	0	0	0	1	1	59.26%	27	8	5	1.36	0	0	0	3	0	0
3	Jonathan Drouin	Wild (MIN)	RW	13	5	10	15	-8	6	0	27	20	39	16	21	12.82%	4	267	20.58	4	6	10	9	51	0	0	0	0	0	1	1	47.62%	21	11	8	1.12	0	0	0	0	1	2
4	Johan Larsson	Wild (MIN)	C	13	4	6	10	4	6	0	28	45	49	14	19	8.16%	10	215	16.58	0	0	0	0	0	0	0	0	3	23	0	0	57.94%	214	4	3	0.93	0	0	0	1	1	0
5	Robby Fabbri	Wild (MIN)	LW	13	6	4	10	-3	16	10	22	18	46	10	26	13.04%	4	236	18.18	1	1	2	5	35	0	0	0	0	0	2	0	58.33%	12	3	3	0.85	0	0	2	1	2	0
6	Victor Rask	Wild (MIN)	C	13	5	4	9	-1	0	0	17	16	24	9	10	20.83%	2	180	13.91	0	3	3	2	36	0	0	0	1	21	0	0	51.85%	108	4	2	1.00	0	0	0	1	0	0
7	Brett Connolly	Wild (MIN)	RW	13	3	4	7	4	8	0	35	17	24	6	10	12.50%	4	225	17.32	1	0	1	3	36	0	0	0	0	0	0	0	58.33%	12	3	4	0.62	0	0	0	0	0	3
8	Andre Burakovsky	Wild (MIN)	LW	13	3	4	7	-1	6	0	19	13	22	12	13	13.64%	5	189	14.60	0	0	0	0	1	0	0	0	0	1	0	1	66.67%	3	4	5	0.74	0	0	0	0	1	0
9	Damon Severson	Wild (MIN)	D	13	2	4	6	-1	10	0	21	20	16	2	6	12.50%	16	246	18.93	2	2	4	9	55	0	0	0	0	0	0	0	0.00%	0	5	6	0.49	0	0	0	0	0	0
10	T.J. Brennan	Wild	D	13	2	2	4	-3	40	10	33	24	9	8	5	22.22%	11	255	19.66	0	1	1	1	32	0	0	0	0	0	0	0	0.00%	0	4	8	0.31	0	0	2	0	0	1
11	Jaccob Slavin	Wild (MIN)	D	13	1	3	4	0	5	5	11	22	12	3	3	8.33%	19	279	21.53	0	0	0	0	0	1	0	1	3	57	0	0	0.00%	0	2	12	0.29	0	1	0	0	0	1
12	Matt Ellison	Wild (MIN)	RW	12	0	4	4	0	21	5	25	10	9	5	6	0.00%	2	128	10.73	0	0	0	0	0	0	0	0	0	17	0	0	33.33%	6	2	2	0.62	0	0	1	0	0	1
13	Jon Merrill	Wild (MIN)	D	13	2	1	3	-1	0	0	6	22	10	8	8	20.00%	11	246	18.95	2	1	3	2	54	0	0	0	0	0	0	0	0.00%	0	5	8	0.24	0	0	0	0	0	0
14	Michael Chaput	Wild (MIN)	C	13	0	2	2	1	10	0	13	23	9	3	3	0.00%	5	130	10.03	0	0	0	0	0	0	1	1	0	47	0	0	53.76%	93	6	2	0.31	0	0	0	0	0	0
15	Steve Bernier	Wild (MIN)	RW	13	0	1	1	4	0	0	6	15	0	3	4	0.00%	4	150	11.58	0	0	0	0	1	0	0	0	0	55	0	0	38.46%	13	0	4	0.13	0	0	0	0	0	0
16	Duncan Siemens	Wild (MIN)	D	13	0	1	1	1	0	0	2	5	1	0	0	0.00%	4	58	4.48	0	0	0	0	0	0	1	1	0	53	0	0	0.00%	0	0	3	0.34	0	0	0	0	0	0
17	Noah Hanifin	Wild (MIN)	D	13	0	1	1	-3	2	0	7	10	1	1	1	0.00%	8	159	12.28	0	1	1	0	33	0	0	0	0	0	0	0	0.00%	0	1	9	0.13	0	0	0	0	0	0
18	Esa Lindell	Wild (MIN)	D	13	0	1	1	2	2	0	4	13	0	2	0	0.00%	3	105	8.15	0	0	0	0	0	0	0	0	0	34	0	0	0.00%	0	0	2	0.19	0	0	0	0	0	0
19	Joel Edmundson	Wild (MIN)	D	13	1	0	1	2	11	5	10	17	3	0	0	33.33%	8	103	7.93	0	0	0	0	0	0	0	0	2	32	1	0	0.00%	0	0	7	0.19	1	0	0	0	0	0
20	Shea Theodore	Wild (MIN)	D	13	0	0	0	-1	4	0	2	12	6	1	0	0.00%	6	130	10.06	0	0	0	0	0	0	0	0	1	4	0	0	0.00%	0	0	5	0.00	0	0	0	0	0	0
21	Stanislav Chistov	Wild (MIN)	LW	13	0	0	0	1	0	0	0	3	0	0	0	0.00%	0	38	2.97	0	0	0	0	0	0	0	0	0	17	0	0	100.00%	1	0	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				272	45	76	121	-11	161	35	332	376	382	129	177	11.78%	139	3864	14.21	16	26	42	53	444	1	2	3	10	367	7	3	54.49%	835	66	105	0.63	1	1	5	7	6	8

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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	GA	SA	SAR	ST	BG	S3
1	David Rittich	Wild (MIN)	12	7	4	1	0.902	3.03	733	37	377	159	12	1	1
2	Louis Domingue	Wild (MIN)	1	0	1	0	0.867	4.07	59	4	30	12	1	12	0
Stats d'équipe Total ou en Moyenne			13	7	5	1	0.899	3.11	792	41	407	171	13	13	1

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Alexander Sulzer	Wild (MIN)	D	36	1984-05-30 05:11:13	No	212 Lbs	6 ft1	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Andre Burakovsky	Wild (MIN)	LW	25	1995-02-09 23:11:13	Yes	186 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$
Andrew Agozzino	Wild (MIN)	RW	29	1991-01-03 04:38:16	Yes	187 Lbs	5 ft10	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Brett Connolly	Wild (MIN)	RW	28	1992-05-02 17:11:13	Yes	195 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$
Damon Severson	Wild (MIN)	D	25	1994-08-07 17:11:13	Yes	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$
David Rittich	Wild (MIN)	G	27	1992-08-19 04:21:53	Yes	206 Lbs	6 ft3	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$
Duncan Siemens	Wild (MIN)	D	26	1993-09-07 11:11:13	Yes	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Dustin Jeffrey	Wild (MIN)	C	32	1988-02-27 04:25:12	Yes	207 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Esa Lindell	Wild (MIN)	D	26	1994-05-23 17:54:13	Yes	215 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Hunter Shinkaruk	Wild (MIN)	C	25	1994-10-13 08:27:39	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	863,333$	0$	0$	No
Jaccob Slavin	Wild (MIN)	D	26	1994-05-01 12:36:34	Yes	202 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Joel Edmundson	Wild (MIN)	D	26	1993-06-28 04:30:16	Yes	215 Lbs	6 ft4	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Johan Larsson	Wild (MIN)	C	27	1992-07-25 05:11:13	Yes	211 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,700,000$	0$	0$	No	1,700,000$	1,700,000$
Jon Merrill	Wild (MIN)	D	28	1992-02-03 05:11:13	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	0$	0$	No
Jonathan Drouin	Wild (MIN)	RW	25	1995-03-28 23:11:13	Yes	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,800,000$	0$	0$	No	1,800,000$
Joonas Donskoi	Wild (MIN)	LW	28	1992-04-13 16:18:31	Yes	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,650,000$	0$	0$	No	1,650,000$	1,650,000$
Leland Irving	Wild (MIN)	G	32	1988-04-11 05:11:14	Yes	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Louis Domingue	Wild (MIN)	G	28	1992-03-06 05:11:14	Yes	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$
Marek Schwarz	Wild (MIN)	G	34	1986-04-01 17:11:14	No	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Matt Ellison	Wild (MIN)	RW	36	1983-12-08 23:11:13	No	210 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Michael Chaput	Wild (MIN)	C	28	1992-04-09 05:11:13	Yes	199 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Nikita Scherbak	Wild (MIN)	LW	24	1995-12-30 09:41:17	Yes	192 Lbs	6 ft2	No	No	No	1	Pro & Farm	863,333$	0$	0$	No
Noah Hanifin	Wild (MIN)	D	23	1997-01-25 11:11:13	Yes	215 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,800,000$	0$	0$	No	1,800,000$	1,800,000$
Robby Fabbri	Wild (MIN)	LW	24	1996-01-22 05:11:13	Yes	171 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Shea Theodore	Wild (MIN)	D	24	1995-08-03 23:11:13	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$
Stanislav Chistov	Wild (MIN)	LW	35	1984-08-02 23:11:13	No	210 Lbs	5 ft10	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Steve Bernier	Wild (MIN)	RW	35	1985-03-31 11:11:13	No	248 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$
Victor Rask	Wild (MIN)	C	27	1993-03-01 11:11:13	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$
William Nylander	Wild (MIN)	C	24	1996-05-01 12:48:00	Yes	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	28.03	202 Lbs	6 ft1	2.28	1,443,161$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Robby Fabbri	William Nylander	Jonathan Drouin	40	1	2	2
2	Joonas Donskoi	Victor Rask	Brett Connolly	30	1	2	2
3	Andre Burakovsky	Johan Larsson	Matt Ellison	20	1	2	2
4	Stanislav Chistov	Michael Chaput	Steve Bernier	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Damon Severson	Jon Merrill	40	1	2	2
2	Jaccob Slavin	Noah Hanifin	30	1	2	2
3	Esa Lindell	Joel Edmundson	20	1	2	2
4	Shea Theodore	Duncan Siemens	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Robby Fabbri	William Nylander	Jonathan Drouin	60	1	2	2
2	Joonas Donskoi	Victor Rask	Brett Connolly	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Damon Severson	Jon Merrill	60	1	2	2
2	Jaccob Slavin	Noah Hanifin	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Johan Larsson	Steve Bernier	60	1	2	2
2	Johan Larsson	Steve Bernier	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Damon Severson	Jon Merrill	60	1	2	2
2	Jaccob Slavin	Noah Hanifin	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Johan Larsson	60	1	2	2	Damon Severson	Jon Merrill	60	1	2	2
2	Johan Larsson	40	1	2	2	Jaccob Slavin	Noah Hanifin	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Michael Chaput	Matt Ellison	60	1	2	2
2	Victor Rask	Steve Bernier	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Damon Severson	Jon Merrill	60	1	2	2
2	Jaccob Slavin	Noah Hanifin	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Robby Fabbri	William Nylander	Jonathan Drouin	Damon Severson	Jon Merrill

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joonas Donskoi	Johan Larsson	Brett Connolly	Jaccob Slavin	Joel Edmundson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Ellison, Andre Burakovsky, Steve Bernier	Matt Ellison, Andre Burakovsky	Steve Bernier

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Esa Lindell , Joel Edmundson, Shea Theodore	Esa Lindell	Joel Edmundson, Shea Theodore

Tirs de Pénalité
Jonathan Drouin, Johan Larsson, Robby Fabbri, Joonas Donskoi, Victor Rask

Gardien
#1 : David Rittich, #2 : Louis Domingue

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Blackhawks	7	3	4	0	0	0	0	0	24	24	0	4	1	3	0	0	0	0	0	12	15	-3	3	2	1	0	0	0	0	0	12	9	3	6	0.429	24	44	68	0	0	15	13	15	2	218	121	128	124	9	221	72	110	190	36	8	22.22%	35	7	80.00%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
2	Ducks	6	4	2	0	0	0	0	0	21	17	4	3	2	1	0	0	0	0	0	12	9	3	3	2	1	0	0	0	0	0	9	8	1	8	0.667	21	32	53	0	0	15	13	15	2	164	121	128	124	9	186	67	51	142	24	8	33.33%	22	3	86.36%	0	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
	Total	13	7	6	0	0	0	0	0	45	41	4	7	3	4	0	0	0	0	0	24	24	0	6	4	2	0	0	0	0	0	21	17	4	14	0.538	45	76	121	0	0	15	13	15	2	382	121	128	124	9	407	139	161	332	60	16	26.67%	57	10	82.46%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
	_Since Last GM Reset	13	7	6	0	0	0	0	0	45	41	4	7	3	4	0	0	0	0	0	24	24	0	6	4	2	0	0	0	0	0	21	17	4	14	0.538	45	76	121	0	0	15	13	15	2	382	121	128	124	9	407	139	161	332	60	16	26.67%	57	10	82.46%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
	_Vs Conference	13	7	6	0	0	0	0	0	45	41	4	7	3	4	0	0	0	0	0	24	24	0	6	4	2	0	0	0	0	0	21	17	4	14	0.538	45	76	121	0	0	15	13	15	2	382	121	128	124	9	407	139	161	332	60	16	26.67%	57	10	82.46%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
	_Vs Division	7	3	4	0	0	0	0	0	24	24	0	4	1	3	0	0	0	0	0	12	15	-3	3	2	1	0	0	0	0	0	12	9	3	6	0.429	24	44	68	0	0	15	13	15	2	218	121	128	124	9	221	72	110	190	36	8	22.22%	35	7	80.00%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
13	14	L1	45	76	121	382	407	139	161	332	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	7	6	0	0	0	0	45	41

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	24	24

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	21	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
60	16	26.67%	57	10	82.46%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
121	128	124	9	15	13	15	2

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
175	312	56.09%	175	333	52.55%	105	190	55.26%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
288	165	275	119	229	118

Derniers Match Joués 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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
2 - 2019-10-07	5	Ducks	2	Wild	5	W		Sommaire du Match
4 - 2019-10-09	13	Ducks	3	Wild	4	W	X	Sommaire du Match
6 - 2019-10-11	21	Wild	3	Ducks	2	W	X	Sommaire du Match
8 - 2019-10-13	29	Wild	2	Ducks	4	L		Sommaire du Match
10 - 2019-10-15	37	Ducks	4	Wild	3	L		Sommaire du Match
12 - 2019-10-17	45	Wild	4	Ducks	2	W		Sommaire du Match
16 - 2019-10-21	59	Blackhawks	2	Wild	5	W		Sommaire du Match
18 - 2019-10-23	63	Blackhawks	4	Wild	3	L		Sommaire du Match
20 - 2019-10-25	67	Wild	3	Blackhawks	4	L	X	Sommaire du Match
22 - 2019-10-27	71	Wild	4	Blackhawks	2	W		Sommaire du Match
24 - 2019-10-29	75	Blackhawks	4	Wild	2	L		Sommaire du Match
26 - 2019-10-31	79	Wild	5	Blackhawks	3	W		Sommaire du Match
28 - 2019-11-02	83	Blackhawks	5	Wild	2	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	25
Assistance	14,000	7,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
34	3000 - 100.00%	91,614$	641,300$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	4,185,166$	715,166$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
14	13	7	6	0	0	0	0	0	45	41	4	7	3	4	0	0	0	0	0	24	24	0	6	4	2	0	0	0	0	0	21	17	4	14	45	76	121	0	0	15	13	15	2	382	121	128	124	9	407	139	161	332	60	16	26.67%	57	10	82.46%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118
Total Séries	13	7	6	0	0	0	0	0	45	41	4	7	3	4	0	0	0	0	0	24	24	0	6	4	2	0	0	0	0	0	21	17	4	14	45	76	121	0	0	15	13	15	2	382	121	128	124	9	407	139	161	332	60	16	26.67%	57	10	82.46%	1	175	312	56.09%	175	333	52.55%	105	190	55.26%	288	165	275	119	229	118