Ligue Canadienne de Hockey Simulé

Red Wings
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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	Nathan Horton			X		100.00	55	44	93	62	80	88	86	84	74	83	73	61	68	80	81	39	66	72	0
2	Riley Nash (R)	X				100.00	59	37	95	70	75	79	82	78	86	73	67	77	66	88	81	61	78	71	0
3	Kyle Clifford (R)		X			100.00	97	99	58	70	78	76	77	80	58	65	66	76	65	82	76	51	81	70	0
4	Jacob Josefson (R)	X				100.00	68	38	91	74	68	80	82	72	88	73	66	78	65	67	93	62	57	70	0
5	Maxim Lapierre	X				100.00	99	74	41	62	77	66	72	63	85	61	64	84	66	76	85	29	80	68	0
6	Mikko Rantanen (R)		X			100.00	51	35	80	75	82	74	72	71	86	73	73	65	60	54	46	95	79	67	0
7	Alexandre Grenier (R)			X		100.00	78	83	72	69	82	81	83	79	22	57	60	64	62	52	52	46	82	65	0
8	Ryan Hartman (R)		X			100.00	70	52	65	77	66	64	68	69	69	58	73	63	65	58	52	79	71	64	0
9	Scott Wilson (R)	X				100.00	67	49	81	77	64	51	70	69	62	67	63	62	67	53	53	63	79	63	0
10	John Hayden (R)			X		100.00	90	50	84	66	82	45	40	60	30	57	49	57	53	56	53	87	63	57	0
11	John McFarland (R)		X			100.00	61	75	64	64	63	58	63	55	64	61	50	60	57	52	52	42	52	57	0
12	Tomas Nosek (R)	X				100.00	52	35	75	67	80	46	44	58	53	54	55	66	55	62	49	63	75	57	0
13	Hudson Fasching (R)			X		100.00	51	35	80	65	77	45	40	52	30	47	49	67	51	56	44	87	81	54	0
14	Chase De Leo (R)		X			100.00	52	55	76	67	54	52	56	54	63	51	49	58	56	53	53	41	26	54	0
15	Shayne Gostisbehere (R)				X	100.00	59	36	89	85	67	75	82	74	25	92	87	84	83	67	72	73	55	75	0
16	T.J. Brennan (R)				X	100.00	77	55	79	60	77	80	83	87	56	85	80	82	76	75	69	45	80	74	0
17	Jarred Tinordi (R)				X	100.00	86	91	58	65	81	63	66	80	47	62	57	79	57	77	77	63	73	70	0
18	Chris Summers (R)				X	100.00	94	39	86	61	77	53	58	71	48	62	55	82	57	80	72	41	72	68	0
19	Tyler Wotherspoon (R)				X	100.00	73	40	97	66	78	62	67	76	25	66	51	71	54	74	69	63	42	66	0
20	Joe Morrow (R)				X	100.00	61	36	96	76	75	65	71	57	25	66	56	70	61	62	51	49	55	64	0
21	Taylor Chorney (R)				X	100.00	63	47	75	73	73	55	62	72	25	52	51	73	58	72	61	48	36	64	0
22	Brandon Montour (R)				X	100.00	53	35	72	74	68	55	48	55	30	50	52	69	77	58	53	79	20	59	0
23	Julius Honka (R)				X	100.00	55	39	70	75	66	54	49	56	30	51	50	65	54	56	52	87	21	58	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	68	51	77	70	73	64	66	68	51	64	61	70	62	66	63	61	62	65

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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	Anders Nilsson (R)	100.00	69	77	93	84	82	84	84	86	86	83	82	80	75	41	79	80	0
2	Marek Schwarz	100.00	67	40	73	75	69	80	80	80	80	71	77	99	89	34	45	72	0
Rayé
1	Jeremy Smith (R)	100.00	57	56	71	65	72	73	66	69	70	68	66	68	54	39	23	65	0

	MOYENNE D'ÉQUIPE	100.00	64	58	79	75	74	79	77	78	79	74	75	82	73	38	49	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joe Sacco	64	70	69	65	80	69	70	USA	48	3	800,000$

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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	PKS	PKM	FO%	FOT	GA	TA	HT	P/20	FW	FT	S2	S3
1	Andre Burakovsky	Red Wings	LW	4	4	4	8	-1	0	0	8	11	21	8	20	19.05%	3	94	23.57	4	1	5	9	18	0	13	69.23%	13	3	0	0	1.70	0	0	0	2
2	Riley Nash	Red Wings (DET)	C	3	1	5	6	-1	0	0	10	9	8	1	12	12.50%	3	69	23.29	0	3	3	1	12	1	9	56.12%	98	4	2	0	1.72	0	0	0	0
3	Shayne Gostisbehere	Red Wings (DET)	D	4	1	5	6	-3	2	0	5	8	8	6	3	12.50%	5	109	27.26	1	2	3	2	20	0	15	0.00%	0	6	1	0	1.10	0	0	1	0
4	Jannik Hansen	Red Wings	RW	4	3	2	5	-1	6	0	7	7	19	8	11	15.79%	0	93	23.40	1	2	3	3	18	0	11	33.33%	18	0	4	1	1.07	0	0	0	0
5	Jacob Josefson	Red Wings (DET)	C	4	1	3	4	-2	5	5	6	11	12	1	9	8.33%	2	75	18.84	0	2	2	1	11	0	2	51.02%	98	2	3	0	1.06	0	1	0	0
6	Nathan Horton	Red Wings (DET)	RW	4	1	2	3	-3	0	0	8	5	21	5	15	4.76%	1	89	22.50	0	1	1	1	12	0	10	44.44%	9	4	1	0	0.67	0	0	0	0
7	Mikko Rantanen	Red Wings (DET)	LW	4	1	2	3	-3	4	0	5	6	14	3	14	7.14%	0	74	18.68	0	1	1	3	12	0	0	83.33%	6	2	2	0	0.80	0	0	0	0
8	Jarred Tinordi	Red Wings (DET)	D	4	1	1	2	-3	0	0	9	14	7	4	2	14.29%	6	91	22.81	1	0	1	2	10	0	10	0.00%	0	1	1	0	0.44	0	0	0	0
9	Chris Summers	Red Wings (DET)	D	1	0	1	1	1	0	0	1	1	0	0	0	0.00%	0	14	14.58	0	0	0	0	0	0	0	0.00%	0	0	1	0	1.37	0	0	0	0
10	Tyler Wotherspoon	Red Wings (DET)	D	4	0	1	1	-3	5	5	5	4	6	3	3	0.00%	5	85	21.44	0	1	1	0	8	0	9	0.00%	0	0	3	0	0.23	0	1	0	0
11	Ryan Hartman	Red Wings (DET)	LW	4	1	0	1	-1	2	0	8	3	15	2	4	6.67%	0	46	11.74	0	0	0	0	0	0	1	75.00%	4	2	1	0	0.43	0	0	0	0
12	Maxim Lapierre	Red Wings (DET)	C	4	0	0	0	-1	11	5	9	4	3	0	3	0.00%	1	55	13.90	0	0	0	0	4	0	3	62.26%	53	1	0	0	0.00	0	1	0	0
13	T.J. Brennan	Red Wings (DET)	D	4	0	0	0	-3	8	0	12	13	8	5	8	0.00%	7	107	26.97	0	0	0	1	20	0	13	0.00%	0	4	3	0	0.00	0	0	0	0
14	John Hayden	Red Wings (DET)	RW	4	0	0	0	-2	0	0	5	4	1	0	1	0.00%	1	28	7.14	0	0	0	0	0	0	0	50.00%	2	1	0	0	0.00	0	0	0	0
15	Alexandre Grenier	Red Wings (DET)	RW	4	0	0	0	-1	9	5	4	2	5	3	6	0.00%	0	45	11.25	0	0	0	0	0	0	0	28.57%	7	3	0	0	0.00	1	0	0	0
16	Chase De Leo	Red Wings (DET)	LW	4	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	1.39	0	0	0	0	0	0	2	0.00%	1	0	0	0	0.00	0	0	0	0
17	John McFarland	Red Wings (DET)	LW	4	0	0	0	-2	6	0	5	0	3	1	0	0.00%	1	30	7.71	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0
18	Tomas Nosek	Red Wings (DET)	C	4	0	0	0	-2	0	0	0	0	0	0	0	0.00%	0	13	3.38	0	0	0	0	1	0	0	31.25%	16	0	0	0	0.00	0	0	0	0
19	Joe Morrow	Red Wings (DET)	D	4	0	0	0	-3	2	0	0	7	3	1	1	0.00%	6	65	16.34	0	0	0	0	0	0	1	0.00%	0	0	2	0	0.00	0	0	0	0
20	Scott Wilson	Red Wings (DET)	C	4	0	0	0	-1	0	0	4	1	9	2	0	0.00%	2	32	8.09	0	0	0	0	0	0	0	27.27%	11	1	0	0	0.00	0	0	0	0
21	Taylor Chorney	Red Wings (DET)	D	3	0	0	0	0	4	0	4	4	2	1	1	0.00%	3	52	17.43	0	0	0	0	0	0	3	0.00%	0	0	2	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				79	14	26	40	-35	64	20	115	114	165	54	113	8.48%	46	1282	16.23	7	13	20	23	151	1	109	52.38%	336	34	26	1	0.62	1	3	1	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 Gardien	Nom de l'Équipe	GP	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	EG	ST	BG
1	Marek Schwarz	Red Wings (DET)	1	0	0	0.931	2.18	55	2	29	12	1	0	0	4
2	Anders Nilsson	Red Wings (DET)	4	2	2	0.852	5.22	207	18	122	42	0	1	4	0
Stats d'équipe Total ou en Moyenne			5	2	2	0.868	4.58	262	20	151	54	1	1	4	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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3
Alexandre Grenier	Red Wings (DET)	RW	25	1992-08-02 23:11:13	Yes	200 Lbs	6 ft5	No	No	No	2	Avec Restriction	Pro & Farm	585,000$	585,000$
Anders Nilsson	Red Wings (DET)	C	28	1989-08-03 05:11:14	Yes	228 Lbs	6 ft5	No	No	No	1	Avec Restriction	Pro & Farm	750,000$
Brandon Montour	Red Wings (DET)	D	24	1994-04-11 10:52:49	Yes	192 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	925,000$
Chase De Leo	Red Wings (DET)	LW	21	1996-08-02 23:11:13	Yes	178 Lbs	5 ft9	No	No	No	2	Contrat d'Entrée	Pro & Farm	875,000$	875,000$
Chris Summers	Red Wings (DET)	D	28	1989-08-03 05:11:13	Yes	213 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	800,000$
Hudson Fasching	Red Wings (DET)	RW	22	1995-07-28 10:55:45	Yes	209 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$
Jacob Josefson	Red Wings (DET)	C	27	1990-08-03 11:11:13	Yes	198 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$
Jarred Tinordi	Red Wings (DET)	D	24	1993-08-03 05:11:13	Yes	213 Lbs	6 ft6	No	No	No	2	Avec Restriction	Pro & Farm	700,000$	700,000$
Jeremy Smith	Red Wings (DET)	LW	29	1989-04-13 10:57:47	Yes	177 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	750,000$	750,000$
Joe Morrow	Red Wings (DET)	D	24	1993-08-03 05:11:13	Yes	204 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	863,000$	863,000$
John Hayden	Red Wings (DET)	RW	23	1995-02-14 11:00:55	Yes	223 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	925,000$
John McFarland	Red Wings (DET)	LW	24	1993-08-03 05:11:13	Yes	211 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	851,000$	851,000$
Julius Honka	Red Wings (DET)	D	22	1995-12-03 11:03:06	Yes	195 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	863,333$
Kyle Clifford	Red Wings (DET)	LW	27	1990-08-03 11:11:13	Yes	213 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	900,000$	900,000$
Marek Schwarz	Red Wings (DET)	C	30	1987-08-03 17:11:14	No	192 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	800,000$	800,000$	800,000$
Maxim Lapierre	Red Wings (DET)	C	31	1986-08-03 11:11:13	No	213 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	600,000$	600,000$
Mikko Rantanen	Red Wings (DET)	LW	21	1996-10-28 12:45:34	Yes	211 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,658,000$	1,658,000$
Nathan Horton	Red Wings (DET)	RW	31	1986-08-03 11:11:13	No	234 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	900,000$	900,000$
Riley Nash	Red Wings (DET)	C	27	1990-08-03 11:11:13	Yes	197 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$
Ryan Hartman	Red Wings (DET)	LW	22	1995-08-03 17:11:13	Yes	191 Lbs	5 ft11	No	No	No	2	Contrat d'Entrée	Pro & Farm	863,000$	863,000$
Scott Wilson	Red Wings (DET)	C	24	1993-08-03 05:11:13	Yes	183 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	617,000$	617,000$
Shayne Gostisbehere	Red Wings (DET)	D	23	1994-08-03 11:11:13	Yes	160 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	1,421,000$	1,421,000$
T.J. Brennan	Red Wings (DET)	D	27	1990-08-03 11:11:13	Yes	217 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$
Taylor Chorney	Red Wings (DET)	D	29	1988-08-02 23:11:13	Yes	190 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	700,000$
Tomas Nosek	Red Wings (DET)	C	25	1992-09-01 11:05:59	Yes	210 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	612,500$	612,500$	612,500$
Tyler Wotherspoon	Red Wings (DET)	D	23	1994-08-03 11:11:13	Yes	214 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	700,000$	700,000$	700,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	25.42	203 Lbs	6 ft1	2.27	868,609$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Nosek	Jacob Josefson	John McFarland	35	1	2	2
2	Mikko Rantanen	Maxim Lapierre	Nathan Horton	35	1	2	2
3	Ryan Hartman	Scott Wilson	Alexandre Grenier	25	1	2	2
4	John McFarland	Tomas Nosek	John Hayden	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Summers	Brandon Montour	35	1	2	2
2	Jarred Tinordi	Tyler Wotherspoon	35	1	2	2
3	Joe Morrow	Taylor Chorney	30	1	2	2
4	Jarred Tinordi	Tyler Wotherspoon	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexandre Grenier	Jacob Josefson	Ryan Hartman	60	1	2	2
2	Mikko Rantanen	Maxim Lapierre	Nathan Horton	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Summers	Joe Morrow	60	1	2	2
2	Jarred Tinordi	Tyler Wotherspoon	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Maxim Lapierre	Mikko Rantanen	60	1	2	2
2	Nathan Horton	Jacob Josefson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joe Morrow	Taylor Chorney	60	1	2	2
2	Jarred Tinordi	Tyler Wotherspoon	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nathan Horton	60	1	2	2	Chris Summers	Joe Morrow	60	1	2	2
2	Jacob Josefson	40	1	2	2	Jarred Tinordi	Tyler Wotherspoon	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Maxim Lapierre	Alexandre Grenier	60	1	2	2
2	Nathan Horton	Jacob Josefson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Chorney	Chris Summers	60	1	2	2
2	Jarred Tinordi	Tyler Wotherspoon	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nathan Horton	Jacob Josefson	Maxim Lapierre	Jarred Tinordi	Chris Summers

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nathan Horton	Jacob Josefson	Maxim Lapierre	Jarred Tinordi	Chris Summers

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chase De Leo, Alexandre Grenier, Ryan Hartman	Chase De Leo, Alexandre Grenier	Ryan Hartman

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joe Morrow, Taylor Chorney, Jarred Tinordi	Joe Morrow	Taylor Chorney, Jarred Tinordi

Tirs de Pénalité
Ryan Hartman, John McFarland, Nathan Horton, Jacob Josefson, Maxim Lapierre

Gardien
#1 : Anders Nilsson, #2 : Marek Schwarz

Lignes d'Attaque Perso. en Prol.
Nathan Horton, Jacob Josefson, Maxim Lapierre, Ryan Hartman, John McFarland, Tomas Nosek, Tomas Nosek, Chase De Leo, Mikko Rantanen, Alexandre Grenier, Scott Wilson

Lignes de Défense Perso. en Prol.
Jarred Tinordi, Tyler Wotherspoon, Taylor Chorney, Brandon Montour, Chris Summers

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	Sabres	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39
	Total	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39
	_Since Last GM Reset	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39
	_Vs Conference	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39
	_Vs Division	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39

			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
4	0	OTL1	14	26	40	165	152	46	64	115	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	14	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	8	12

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	2	0	2	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
24	7	29.17%	22	7	68.18%	0

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
51	55	48	11	0	7	7	0

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
71	133	53.38%	61	125	48.80%	44	78	56.41%

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
95	55	90	40	77	39

Derniers Match Joués

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
1 - 2017-09-30	2	Sabres	5	Red Wings	2	L		Sommaire du Match
3 - 2017-10-02	10	Sabres	7	Red Wings	6	L	X	Sommaire du Match
5 - 2017-10-04	18	Red Wings	3	Sabres	5	L		Sommaire du Match
7 - 2017-10-06	26	Red Wings	3	Sabres	4	L	X	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	45	25
Assistance	3720	1842
Assistance PCT	93.00%	92.10%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	2781 - 92.70%	159,020$	318,040$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,258,383$	665,883$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
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
12	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39
Total Séries	4	0	4	0	0	0	0	0	14	21	-7	2	0	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	6	9	-3	0	14	26	40	1	0	0	7	7	0	165	51	55	48	11	152	46	64	115	24	7	29.17%	22	7	68.18%	0	71	133	53.38%	61	125	48.80%	44	78	56.41%	95	55	90	40	77	39

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