Ligue de hockey Simulée Ste-Flanelle

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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	Jeff Carter	X		X		100.00	57	35	87	75	75	78	94	77	83	78	75	72	38	74	68	0	80	73	0
2	Henrik Zetterberg (C)	X	X			100.00	52	43	86	81	66	80	95	75	84	80	70	61	44	80	72	0	80	72	0
3	Bryan Little	X				100.00	56	43	88	79	63	80	77	75	84	76	74	71	52	59	49	0	73	70	0
4	Mathieu Perreault	X	X			100.00	58	35	82	79	58	74	84	70	83	74	66	61	53	54	47	0	80	67	0
5	Kyle Palmieri			X		100.00	66	43	83	81	57	73	92	69	38	64	73	66	53	51	46	0	80	67	0
6	Marian Gaborik		X	X		100.00	49	35	86	76	71	72	74	68	36	63	72	58	61	78	70	0	73	66	0
7	Andrew Desjardins	X	X			100.00	67	56	83	69	67	66	92	50	84	45	54	71	45	54	49	0	78	60	0
8	Adam Lowry	X	X			100.00	73	50	79	66	73	64	86	53	80	50	56	73	48	35	33	0	73	60	0
9	Marcus Kruger	X				100.00	56	43	83	67	58	68	67	53	84	54	52	73	48	56	54	0	80	60	0
10	Scott Laughton	X	X			100.00	59	50	83	73	63	62	66	55	78	54	56	67	45	42	36	0	43	59	0
11	Rene Bourque		X	X		100.00	61	35	79	67	75	61	64	50	37	48	52	57	48	65	55	0	80	57	0
12	Nick Schmaltz (R)	X		X		100.00	50	50	50	50	51	50	50	50	50	50	50	50	50	32	30	0	1	48	0
13	Erik Karlsson				X	100.00	66	43	81	87	61	91	95	76	35	85	66	78	50	56	47	0	80	74	0
14	Alex Goligoski				X	100.00	65	43	85	74	57	84	95	60	35	69	51	86	48	59	53	0	81	70	0
15	Jason Demers				X	100.00	68	50	71	70	65	77	82	54	35	56	51	81	48	56	48	0	80	66	0
16	Keith Yandle				X	100.00	56	43	83	78	64	77	95	62	35	73	51	63	48	64	55	0	81	66	0
17	Nate Prosser				X	100.00	56	56	79	62	67	61	69	42	35	40	43	72	48	50	46	0	78	59	0
18	Jakub Kindl				X	100.00	65	35	84	64	66	59	46	48	35	48	47	67	48	53	46	0	10	57	0
Rayé
1	Nick Spaling	X	X			93.15	61	43	85	68	68	67	78	55	82	55	54	77	56	59	50	0	62	62	0
2	Teemu Pulkkinen		X	X		93.56	52	35	85	74	56	62	54	57	35	51	62	64	48	41	36	0	58	58	0
3	Ian Cole				X	89.76	65	56	77	66	72	68	70	46	35	48	43	72	48	50	48	0	74	61	0

	MOYENNE D'ÉQUIPE					98.81	60	44	81	72	64	70	77	59	56	60	58	69	49	56	49	0	68	63

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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	Devan Dubnyk	100.00	91	90	95	82	91	85	79	90	91	70	92	52	46	0	65	80	0
2	Alex Stalock	100.00	56	45	82	69	56	59	55	55	62	89	70	43	41	0	83	59	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	68	89	76	74	72	67	73	77	80	81	48	44	0	74	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Michel Therrien	90	94	87	93	99	94	93	CAN	53	2	500,000$

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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	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Henrik Zetterberg	Atlanta	C/LW	82	21	54	75	7	26	0	48	118	232	0	9.05%	3	1587	19.35	4	20	24	52	328	0	0	0	3	81	4	2	56.35%	520	0	1	0.95	1	5	0	0	0	3	3	7
2	Jeff Carter	Atlanta	C/RW	82	32	40	72	10	50	0	99	160	259	0	12.36%	14	1592	19.42	6	12	18	61	325	1	0	1	3	169	3	2	54.80%	1135	0	2	0.90	1	4	0	0	0	6	3	3
3	Bryan Little	Atlanta	C	80	32	38	70	1	41	5	82	171	237	0	13.50%	14	1495	18.69	11	17	28	73	321	0	0	0	1	55	6	2	52.34%	1775	0	0	0.94	3	7	0	1	0	6	7	6
4	Mathieu Perreault	Atlanta	C/LW	85	27	35	62	25	54	0	99	101	208	0	12.98%	5	1408	16.58	2	16	18	35	303	0	0	0	0	4	5	2	50.49%	410	0	1	0.88	4	6	0	0	0	5	5	2
5	Kyle Palmieri	Atlanta	RW	82	22	35	57	7	60	0	171	73	218	0	10.09%	8	1428	17.42	6	9	15	58	312	0	0	0	1	6	5	0	34.57%	81	0	0	0.80	3	4	0	0	0	6	5	1
6	Erik Karlsson	Atlanta	D	82	12	37	49	-8	98	10	127	150	150	0	8.00%	103	2091	25.51	8	9	17	105	346	0	0	0	4	375	3	0	0.00%	0	0	0	0.47	0	0	0	1	1	0	2	3
7	Alex Goligoski	Atlanta	D	82	19	24	43	-10	100	10	97	110	98	0	19.39%	120	2078	25.34	14	9	23	68	337	0	1	1	0	379	1	1	0.00%	0	0	0	0.41	0	0	1	0	1	0	3	2
8	Keith Yandle	Atlanta	D	82	8	35	43	9	49	5	43	60	62	0	12.90%	63	1717	20.95	5	13	18	40	296	0	1	1	0	259	2	0	0.00%	0	0	0	0.50	0	0	0	0	1	1	1	4
9	Jason Demers	Atlanta	D	80	12	23	35	8	143	35	168	65	97	0	12.37%	100	1686	21.08	6	12	18	54	280	0	0	0	0	311	4	1	0.00%	0	0	0	0.42	0	0	3	1	3	0	2	4
10	Marian Gaborik	Atlanta	LW/RW	78	7	25	32	14	22	0	45	47	98	0	7.14%	3	1294	16.59	0	6	6	23	284	0	0	0	0	8	1	2	41.51%	106	0	0	0.49	0	6	0	0	0	1	3	0
11	Nick Spaling	Atlanta	C/LW	73	11	11	22	7	28	0	28	134	81	0	13.58%	10	936	12.83	0	0	0	0	6	0	1	1	2	183	1	0	51.47%	987	0	0	0.47	3	6	0	0	0	1	1	2
12	Teemu Pulkkinen	Atlanta	LW/RW	81	8	13	21	3	18	0	11	52	77	0	10.39%	4	825	10.19	0	0	0	0	5	0	0	0	0	0	1	2	34.62%	52	0	0	0.51	0	0	0	0	0	1	2	2
13	Adam Lowry	Atlanta	C/LW	74	4	13	17	-2	75	15	109	51	64	0	6.25%	11	951	12.86	0	2	2	0	3	0	0	0	3	207	0	0	52.48%	101	0	0	0.36	0	0	0	0	3	0	2	1
14	Ian Cole	Atlanta	D	77	4	12	16	10	142	10	129	44	29	0	13.79%	62	1166	15.15	2	0	2	6	13	0	0	0	0	143	1	1	0.00%	0	0	0	0.27	0	0	1	0	1	1	1	2
15	Nate Prosser	Atlanta	D	82	5	11	16	9	84	40	57	39	29	0	17.24%	53	1133	13.83	0	0	0	1	6	0	0	0	0	87	0	1	0.00%	0	0	0	0.28	0	0	1	3	4	0	0	0
16	Andrew Desjardins	Atlanta	C/LW	82	1	10	11	-12	70	20	64	44	58	0	1.72%	4	911	11.12	0	0	0	1	22	1	0	1	6	349	0	0	52.50%	160	0	0	0.24	0	0	2	1	1	0	1	1
17	Marcus Kruger	Atlanta	C	82	6	5	11	-15	16	0	26	127	43	0	13.95%	9	936	11.41	0	0	0	0	2	0	1	1	4	434	0	0	51.23%	1378	0	0	0.24	0	0	0	0	0	0	2	0
18	Rene Bourque	Atlanta	LW/RW	68	3	1	4	-10	26	0	35	13	19	0	15.79%	1	424	6.24	1	0	1	2	20	0	0	0	0	0	1	0	18.75%	32	0	0	0.19	0	0	0	0	0	0	0	0
19	Scott Laughton	Atlanta	C/LW	22	0	3	3	-6	14	0	6	12	8	0	0.00%	1	139	6.32	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	9	0	0	0.43	0	0	0	0	0	0	0	0
20	Jakub Kindl	Atlanta	D	7	0	1	1	4	12	0	7	4	2	0	0.00%	2	94	13.44	0	0	0	0	8	0	0	0	0	6	0	0	0.00%	0	0	0	0.21	0	0	0	0	0	0	0	0
21	Nick Schmaltz	Atlanta	C/RW	7	0	0	0	0	0	0	8	0	0	0	0.00%	0	43	6.22	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1470	234	426	660	51	1128	150	1459	1575	2069	0	11.31%	590	23943	16.29	65	125	190	579	3225	2	4	6	27	3064	38	16	51.93%	6747	0	4	0.55	15	38	8	7	15	31	43	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	Devan Dubnyk	Atlanta	73	42	24	5	0.900	2.46	4287	4	4	176	1757	0	2	3	0.763	38	71	10	5	4	5
2	Alex Stalock	Atlanta	8	2	4	0	0.875	3.52	375	0	0	22	176	0	0	0	0.000	0	6	43	0	0	0
Stats d'équipe Total ou en Moyenne		81	44	28	5	0.898	2.55	4663	4	4	198	1933	0	2	3	0.763	38	77	53	5	4	5

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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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Lowry	Atlanta	C/LW	22	1993-03-29	No	207 Lbs	6 ft5	No	No	3	Avec Restriction	Pro & Farm	818,000$	818,000$	818,000$				Lien
Alex Goligoski	Atlanta	D	30	1985-07-30	No	185 Lbs	5 ft11	No	No	6	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	4,750,000$	3,750,000$	3,000,000$	Lien
Alex Stalock	Atlanta	G	28	1987-07-28	No	190 Lbs	6 ft0	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	1,500,000$				Lien
Andrew Desjardins	Atlanta	C/LW	29	1986-07-27	No	195 Lbs	6 ft1	No	No	4	Avec Restriction	Pro & Farm	850,000$	850,000$	850,000$	850,000$			Lien
Bryan Little	Atlanta	C	27	1987-11-12	No	191 Lbs	6 ft0	No	No	6	Avec Restriction	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	4,250,000$	4,250,000$	4,250,000$	Lien
Devan Dubnyk	Atlanta	G	29	1986-05-04	No	212 Lbs	6 ft6	No	No	4	Avec Restriction	Pro & Farm	3,000,000$	4,000,000$	4,000,000$	3,000,000$			Lien
Erik Karlsson	Atlanta	D	25	1990-05-31	No	191 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$					Lien
Henrik Zetterberg	Atlanta	C/LW	34	1980-10-09	No	195 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	4,000,000$						Lien
Ian Cole	Atlanta	D	26	1989-02-21	No	219 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	873,227$	873,227$					Lien
Jakub Kindl	Atlanta	D	28	1987-02-10	No	199 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	1,950,000$						Lien
Jason Demers	Atlanta	D	27	1988-06-09	No	200 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$					Lien
Jeff Carter	Atlanta	C/RW	30	1985-01-01	No	215 Lbs	6 ft4	No	No	6	Sans Restriction	Pro & Farm	6,500,000$	6,500,000$	5,000,000$	5,000,000$	4,000,000$	4,000,000$	Lien
Keith Yandle	Atlanta	D	29	1986-09-09	No	196 Lbs	6 ft1	No	No	3	Avec Restriction	Pro & Farm	5,200,000$	5,200,000$	5,200,000$				Lien
Kyle Palmieri	Atlanta	RW	24	1991-02-01	No	185 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$					Lien
Marcus Kruger	Atlanta	C	25	1990-05-27	No	186 Lbs	6 ft0	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$				Lien
Marian Gaborik	Atlanta	LW/RW	33	1982-02-14	No	205 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	6,100,000$	6,300,000$					Lien
Mathieu Perreault	Atlanta	C/LW	27	1988-01-05	No	188 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$					Lien
Nate Prosser	Atlanta	D	29	1986-05-07	No	202 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	1,975,000$	1,975,000$	1,975,000$	1,975,000$			Lien
Nick Schmaltz	Atlanta	C/RW	19	1996-02-23	Yes	172 Lbs	5 ft11	No	No	4	Contrat d'Entrée	Pro & Farm	895,000$	895,000$	895,000$	895,000$			Lien
Nick Spaling	Atlanta	C/LW	27	1988-09-19	No	198 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,175,000$	1,175,000$					Lien
Rene Bourque	Atlanta	LW/RW	33	1981-12-10	No	217 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$					Lien
Scott Laughton	Atlanta	C/LW	21	1994-05-30	No	190 Lbs	6 ft1	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$						Lien
Teemu Pulkkinen	Atlanta	LW/RW	23	1992-01-02	No	183 Lbs	5 ft11	No	No	2	Avec Restriction	Pro & Farm	690,000$	690,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.17	197 Lbs	6 ft1	2.91	2,604,401$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
59,901,227$	54,226,227$	30,488,000$	20,720,000$	12,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Henrik Zetterberg	Jeff Carter	Kyle Palmieri	40	0	2	3
2	Mathieu Perreault	Bryan Little	Marian Gaborik	40	0	3	2
3	Adam Lowry	Andrew Desjardins	Rene Bourque	10	0	4	1
4	Scott Laughton	Marcus Kruger	Nick Schmaltz	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Alex Goligoski	40	0	2	3
2	Jason Demers	Keith Yandle	33	0	4	1
3	Nate Prosser	Jakub Kindl	17	0	4	1
4	Erik Karlsson	Alex Goligoski	10	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Henrik Zetterberg	Jeff Carter	Kyle Palmieri	60	0	1	4
2	Mathieu Perreault	Bryan Little	Marian Gaborik	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Alex Goligoski	60	0	1	4
2	Jason Demers	Keith Yandle	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Marcus Kruger	Adam Lowry	60	0	5	0
2	Jeff Carter	Andrew Desjardins	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Alex Goligoski	60	0	4	1
2	Jason Demers	Nate Prosser	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Desjardins	60	0	5	0	Erik Karlsson	Alex Goligoski	60	0	5	0
2	Marcus Kruger	40	0	5	0	Jason Demers	Nate Prosser	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeff Carter	Henrik Zetterberg	60	1	2	2
2	Bryan Little	Kyle Palmieri	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Erik Karlsson	Alex Goligoski	60	1	2	2
2	Jason Demers	Keith Yandle	40	1	3	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Henrik Zetterberg	Bryan Little	Jeff Carter	Erik Karlsson	Alex Goligoski

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andrew Desjardins	Marcus Kruger	Jeff Carter	Erik Karlsson	Alex Goligoski

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Marcus Kruger, Andrew Desjardins, Adam Lowry	Scott Laughton, Adam Lowry	Bryan Little

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nate Prosser, Jakub Kindl, Jason Demers	Nate Prosser	Jakub Kindl, Jason Demers

Tirs de Pénalité
Marian Gaborik, Kyle Palmieri, Mathieu Perreault, Bryan Little, Erik Karlsson

Gardien
#1 : Devan Dubnyk, #2 : Alex Stalock

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
Anaheim	2	0	1	0	1	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	5	9	14	0	0	2	1	1	1	63	16	25	20	2	58	18	16	31	10	2	20.00%	8	1	87.50%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	54	39	42	15	26	13
Boston	3	2	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	2	0	2	4	0.667	6	10	16	0	1	3	1	2	0	67	28	15	24	0	73	28	54	41	15	1	6.67%	22	3	86.36%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	69	46	71	23	38	19
Buffalo	3	2	1	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	2	1	1	4	0.667	7	13	20	0	0	3	2	2	0	80	24	34	22	0	58	13	47	40	14	1	7.14%	15	3	80.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	80	56	62	22	37	19
Calgary	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	11	17	0	0	1	5	0	0	52	27	16	9	0	46	14	24	23	11	2	18.18%	12	2	83.33%	1	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	49	34	45	14	24	13
Philadelphie	4	2	1	0	0	0	1	0	14	12	2	2	1	1	0	0	0	0	0	6	8	-2	2	1	0	0	0	0	1	0	8	4	4	6	0.750	14	23	37	0	1	6	3	4	2	75	23	27	25	3	102	36	70	70	16	6	37.50%	29	4	86.21%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	93	61	100	32	50	24
Chicago	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	7	11	0	0	1	0	3	0	33	10	7	16	0	51	14	36	26	8	0	0.00%	13	4	69.23%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	44	29	49	15	26	13
Colorado	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	11	17	0	0	2	1	3	0	60	18	26	16	0	35	11	18	25	17	3	17.65%	7	1	85.71%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	57	42	37	14	24	12
Kansas City	2	0	1	0	0	0	1	0	5	8	-3	1	0	1	0	0	0	0	0	1	5	-4	1	0	0	0	0	0	1	0	4	3	1	2	0.500	5	8	13	0	0	0	1	3	2	46	16	9	20	5	54	19	35	47	10	2	20.00%	15	4	73.33%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	50	33	48	15	26	13
Detroit	3	1	1	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	3	1	2	2	0	1	0	0	0	1	0	3	3	0	4	0.667	6	8	14	0	1	3	2	0	1	78	39	17	21	4	63	20	36	62	15	1	6.67%	18	0	100.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	74	49	69	23	40	21
Edmonton	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	18	29	0	0	4	3	4	0	58	25	13	20	0	43	21	22	32	14	5	35.71%	10	2	80.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	50	34	46	14	23	12
Islanders	4	1	1	0	1	0	1	0	15	16	-1	2	1	0	0	1	0	0	0	10	8	2	2	0	1	0	0	0	1	0	5	8	-3	6	0.750	15	24	39	0	0	3	6	4	3	104	22	37	42	6	108	31	56	76	24	5	20.83%	20	5	75.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	101	69	89	32	54	27
LA Kings	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	8	12	0	0	2	1	1	0	40	19	12	9	0	37	7	26	36	8	1	12.50%	12	1	91.67%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	47	31	46	15	26	12
Minnesota	2	0	1	0	0	0	1	0	6	8	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	0	1	0	5	4	1	2	0.500	6	10	16	0	0	0	3	2	2	54	11	18	25	4	56	11	25	39	12	2	16.67%	9	0	100.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	49	33	48	14	26	13
Hartford	4	1	2	0	0	0	0	1	15	15	0	2	0	1	0	0	0	0	1	5	8	-3	2	1	1	0	0	0	0	0	10	7	3	3	0.375	15	29	44	1	0	9	4	2	0	123	51	20	49	7	110	32	57	86	18	1	5.56%	26	7	73.08%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	100	68	92	31	51	26
Ottawa	3	1	1	0	1	0	0	0	9	8	1	1	0	1	0	0	0	0	0	2	3	-1	2	1	0	0	1	0	0	0	7	5	2	4	0.667	9	15	24	0	0	5	2	1	1	68	31	18	17	2	55	20	34	63	14	1	7.14%	16	0	100.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	78	54	67	21	38	19
Pittsburgh	4	1	3	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	5	4	1	2	0	2	0	0	0	0	0	2	5	-3	2	0.250	7	11	18	2	0	4	1	2	0	96	27	38	31	0	120	33	49	73	14	0	0.00%	21	1	95.24%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	93	63	99	28	47	23
Rangers	5	2	3	0	0	0	0	0	11	9	2	3	2	1	0	0	0	0	0	9	5	4	2	0	2	0	0	0	0	0	2	4	-2	4	0.400	11	21	32	0	0	5	3	3	0	130	40	52	38	0	135	37	85	93	25	3	12.00%	26	3	88.46%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	119	80	114	37	65	33
San Jose	2	1	0	0	1	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	15	24	0	0	2	4	2	1	41	15	17	6	3	58	20	26	33	9	3	33.33%	13	1	92.31%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	43	28	52	17	27	13
St-Louis	2	0	1	0	0	0	0	1	5	9	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	5	9	14	0	0	2	1	2	1	56	29	12	14	6	65	15	30	30	7	0	0.00%	14	1	92.86%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	50	34	49	16	24	11
Tampa Bay	3	2	1	0	0	0	0	0	11	6	5	1	0	1	0	0	0	0	0	2	3	-1	2	2	0	0	0	0	0	0	9	3	6	4	0.667	11	20	31	0	0	2	2	7	0	81	20	31	30	0	78	17	53	62	15	4	26.67%	19	4	78.95%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	73	48	69	22	37	19
Toronto	3	1	1	0	0	0	1	0	9	8	1	2	1	0	0	0	0	1	0	7	4	3	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	9	15	24	0	0	2	5	1	2	90	24	36	27	7	71	20	58	62	14	4	28.57%	19	3	84.21%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	78	55	67	23	38	19
Vancouver	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	10	15	0	0	1	1	3	0	41	13	14	14	0	44	12	22	39	14	4	28.57%	11	1	90.91%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	44	29	50	16	25	11
Quebec	3	1	0	0	0	0	2	0	10	5	5	1	0	0	0	0	0	1	0	4	3	1	2	1	0	0	0	0	1	0	6	2	4	6	1.000	10	15	25	0	1	2	1	5	3	78	31	13	32	7	63	19	55	71	20	3	15.00%	20	2	90.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	75	50	74	24	40	20
Winnipeg	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	7	2	5	4	1.000	10	20	30	0	0	5	3	2	0	56	21	21	14	0	40	13	26	27	10	1	10.00%	13	1	92.31%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	50	34	43	15	26	13
Nashville	2	0	1	0	0	0	0	1	3	5	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	3	6	9	0	0	2	1	0	0	38	18	12	6	5	66	18	27	40	8	1	12.50%	10	0	100.00%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	47	31	50	16	27	13
Montreal	3	0	1	0	0	2	0	0	6	9	-3	2	0	0	0	0	2	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	6	9	15	0	0	2	3	1	0	83	27	29	26	1	102	19	44	48	10	1	10.00%	21	2	90.48%	1	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	66	43	77	23	38	18
Washington	5	2	3	0	0	0	0	0	17	14	3	2	1	1	0	0	0	0	0	7	3	4	3	1	2	0	0	0	0	0	10	11	-1	4	0.400	17	32	49	0	0	4	6	7	0	126	46	39	41	0	125	31	48	83	20	2	10.00%	24	3	87.50%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	125	86	110	36	64	33
Caroline	4	2	1	0	1	0	0	0	16	13	3	2	1	1	0	0	0	0	0	7	6	1	2	1	0	0	1	0	0	0	9	7	2	6	0.750	16	28	44	0	0	4	7	4	1	92	27	33	29	3	110	32	49	73	23	5	21.74%	21	2	90.48%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	96	63	95	30	52	27
Las Vegas	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	7	11	0	0	3	1	0	0	55	22	22	11	0	40	12	16	32	8	2	25.00%	8	1	87.50%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	50	34	41	15	28	13
Vs Division	30	11	14	0	2	0	2	1	95	88	7	15	7	6	0	1	0	0	1	49	42	7	15	4	8	0	1	0	2	0	46	46	0	31	0.517	95	168	263	3	1	35	30	26	6	746	236	246	255	19	810	232	414	554	140	22	15.71%	167	25	85.03%	0	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	732	494	702	229	386	196
Vs Conference	54	21	21	0	3	2	6	1	159	143	16	27	11	10	0	1	2	2	1	80	76	4	27	10	11	0	2	0	4	0	79	67	12	63	0.583	159	273	432	3	4	57	48	45	13	1371	460	439	454	40	1373	388	795	1003	257	38	14.79%	317	42	86.75%	1	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	1329	899	1262	414	695	353
Since Last GM Reset	82	33	31	0	5	2	8	3	242	223	19	41	18	15	0	1	2	2	3	117	116	1	41	15	16	0	4	0	6	0	125	107	18	97	0.591	242	422	664	3	4	84	74	71	20	2064	720	663	654	65	2066	593	1144	1463	403	66	16.38%	472	62	86.86%	2	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	2019	1371	1915	630	1058	534
Total	82	33	31	0	5	2	8	3	242	223	19	41	18	15	0	1	2	2	3	117	116	1	41	15	16	0	4	0	6	0	125	107	18	97	0.591	242	422	664	3	4	84	74	71	20	2064	720	663	654	65	2066	593	1144	1463	403	66	16.38%	472	62	86.86%	2	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	2019	1371	1915	630	1058	534

			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
82	97	L1	242	422	664	2064	2066	593	1144	1463	3	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	33	31	5	2	8	3	242	223

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	15	1	2	2	3	117	116

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	16	4	0	6	0	125	107

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	6	0	0	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
403	66	16.38%	472	62	86.86%	2

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
720	663	654	65	84	74	71	20

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
1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%

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
2019	1371	1915	630	1058	534

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	SO	Lien
2 - 2016-10-13	13	Boston	5	Atlanta	2	L			Sommaire du Match
4 - 2016-10-15	24	San Jose	1	Atlanta	4	W			Sommaire du Match
10 - 2016-10-21	63	Chicago	3	Atlanta	2	L			Sommaire du Match
11 - 2016-10-22	71	Atlanta	4	Kansas City	3	W	X	X	Sommaire du Match
14 - 2016-10-25	92	Atlanta	0	LA Kings	4	L			Sommaire du Match
16 - 2016-10-27	106	Atlanta	5	San Jose	4	W	X		Sommaire du Match
17 - 2016-10-28	112	Atlanta	4	Anaheim	3	W	X		Sommaire du Match
21 - 2016-11-01	141	Kansas City	5	Atlanta	1	L			Sommaire du Match
24 - 2016-11-04	159	Montreal	4	Atlanta	3	L	X		Sommaire du Match
25 - 2016-11-05	169	Atlanta	2	St-Louis	5	L			Sommaire du Match
29 - 2016-11-09	193	Anaheim	3	Atlanta	1	L			Sommaire du Match
30 - 2016-11-10	203	Atlanta	2	Boston	0	W			Sommaire du Match
32 - 2016-11-12	212	St-Louis	4	Atlanta	3	L	X	X	Sommaire du Match
35 - 2016-11-15	237	Washington	1	Atlanta	6	W			Sommaire du Match
38 - 2016-11-18	257	Rangers	2	Atlanta	0	L			Sommaire du Match
40 - 2016-11-20	271	Atlanta	6	Washington	3	W			Sommaire du Match
41 - 2016-11-21	278	Colorado	2	Atlanta	3	W			Sommaire du Match
43 - 2016-11-23	292	Calgary	3	Atlanta	4	W			Sommaire du Match
45 - 2016-11-25	305	Atlanta	5	Tampa Bay	1	W			Sommaire du Match
46 - 2016-11-26	316	Atlanta	3	Quebec	2	W	X	X	Sommaire du Match
49 - 2016-11-29	332	Tampa Bay	3	Atlanta	2	L			Sommaire du Match
51 - 2016-12-01	354	Atlanta	3	Colorado	1	W			Sommaire du Match
53 - 2016-12-03	363	Atlanta	1	Nashville	2	L			Sommaire du Match
55 - 2016-12-05	381	Nashville	3	Atlanta	2	L	X	X	Sommaire du Match
59 - 2016-12-09	406	Atlanta	2	Detroit	3	L			Sommaire du Match
60 - 2016-12-10	413	Islanders	2	Atlanta	3	W			Sommaire du Match
63 - 2016-12-13	436	Atlanta	6	Edmonton	2	W			Sommaire du Match
66 - 2016-12-16	457	Atlanta	2	Calgary	3	L			Sommaire du Match
68 - 2016-12-18	475	Atlanta	3	Vancouver	2	W			Sommaire du Match
70 - 2016-12-20	484	LA Kings	3	Atlanta	4	W			Sommaire du Match
72 - 2016-12-22	497	Pittsburgh	1	Atlanta	4	W			Sommaire du Match
73 - 2016-12-23	513	Montreal	2	Atlanta	1	L	X		Sommaire du Match
77 - 2016-12-27	520	Boston	1	Atlanta	2	W			Sommaire du Match
79 - 2016-12-29	539	Atlanta	7	Winnipeg	2	W			Sommaire du Match
81 - 2016-12-31	554	Atlanta	5	Minnesota	4	W	X	X	Sommaire du Match
84 - 2017-01-03	568	Edmonton	4	Atlanta	5	W			Sommaire du Match
86 - 2017-01-05	579	Atlanta	2	Washington	5	L			Sommaire du Match
88 - 2017-01-07	595	Rangers	2	Atlanta	5	W			Sommaire du Match
89 - 2017-01-08	605	Philadelphie	4	Atlanta	5	W			Sommaire du Match
91 - 2017-01-10	613	Atlanta	4	Caroline	3	W	X		Sommaire du Match
94 - 2017-01-13	635	Atlanta	4	Tampa Bay	2	W			Sommaire du Match
95 - 2017-01-14	645	Atlanta	3	Quebec	0	W			Sommaire du Match
98 - 2017-01-17	664	Caroline	2	Atlanta	4	W			Sommaire du Match
100 - 2017-01-19	678	Ottawa	3	Atlanta	2	L			Sommaire du Match
102 - 2017-01-21	691	Caroline	4	Atlanta	3	L			Sommaire du Match
103 - 2017-01-22	704	Atlanta	3	Ottawa	2	W	X		Sommaire du Match
105 - 2017-01-24	716	Atlanta	2	Islanders	6	L			Sommaire du Match
107 - 2017-01-26	732	Atlanta	2	Las Vegas	1	W			Sommaire du Match
112 - 2017-01-31	747	Atlanta	0	Rangers	1	L			Sommaire du Match
115 - 2017-02-03	767	Atlanta	0	Pittsburgh	2	L			Sommaire du Match
116 - 2017-02-04	778	Hartford	4	Atlanta	2	L			Sommaire du Match
119 - 2017-02-07	796	Atlanta	1	Detroit	0	W	X	X	Sommaire du Match
121 - 2017-02-09	811	Vancouver	1	Atlanta	2	W			Sommaire du Match
123 - 2017-02-11	820	Detroit	1	Atlanta	3	W			Sommaire du Match
125 - 2017-02-13	834	Rangers	1	Atlanta	4	W			Sommaire du Match
127 - 2017-02-15	843	Toronto	2	Atlanta	4	W			Sommaire du Match
129 - 2017-02-17	855	Pittsburgh	3	Atlanta	1	L			Sommaire du Match
131 - 2017-02-19	871	Las Vegas	3	Atlanta	2	L			Sommaire du Match
137 - 2017-02-25	910	Islanders	6	Atlanta	7	W	X		Sommaire du Match
138 - 2017-02-26	914	Atlanta	2	Rangers	3	L			Sommaire du Match
140 - 2017-02-28	929	Atlanta	2	Montreal	3	L			Sommaire du Match
142 - 2017-03-02	940	Minnesota	4	Atlanta	1	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04	954	Atlanta	4	Ottawa	3	W			Sommaire du Match
145 - 2017-03-05	963	Atlanta	9	Hartford	2	W			Sommaire du Match
147 - 2017-03-07	974	Hartford	4	Atlanta	3	L	X	X	Sommaire du Match
150 - 2017-03-10	995	Buffalo	6	Atlanta	2	L			Sommaire du Match
151 - 2017-03-11	1004	Atlanta	2	Buffalo	1	W			Sommaire du Match
153 - 2017-03-13	1018	Atlanta	5	Philadelphie	4	W	X	X	Sommaire du Match
156 - 2017-03-16	1043	Quebec	3	Atlanta	4	W	X	X	Sommaire du Match
158 - 2017-03-18	1054	Atlanta	3	Islanders	2	W	X	X	Sommaire du Match
159 - 2017-03-19	1066	Atlanta	1	Hartford	5	L			Sommaire du Match
162 - 2017-03-22	1088	Toronto	2	Atlanta	3	W	X	X	Sommaire du Match
163 - 2017-03-23	1090	Atlanta	2	Washington	3	L			Sommaire du Match
165 - 2017-03-25	1116	Philadelphie	4	Atlanta	1	L			Sommaire du Match
168 - 2017-03-28	1130	Buffalo	2	Atlanta	3	W			Sommaire du Match
170 - 2017-03-30	1148	Atlanta	5	Caroline	4	W			Sommaire du Match
171 - 2017-03-31	1152	Atlanta	2	Chicago	4	L			Sommaire du Match
173 - 2017-04-02	1169	Washington	2	Atlanta	1	L			Sommaire du Match
175 - 2017-04-04	1189	Atlanta	2	Pittsburgh	3	L			Sommaire du Match
177 - 2017-04-06	1200	Winnipeg	1	Atlanta	3	W			Sommaire du Match
179 - 2017-04-08	1208	Atlanta	3	Philadelphie	0	W			Sommaire du Match
180 - 2017-04-09	1222	Atlanta	2	Toronto	4	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6700	5800	3000	5000	1500
Prix des Billets	125	65	45	30	250
Assistance	254451	213236	105437	168843	52115
Attendance PCT	92.63%	89.67%	85.72%	82.36%	84.74%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	19368 - 88.04%	1,670,864$	68,505,420$	22000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
60,401,227$	58,634,559$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
57,139,254$	333,708$	56,636,536$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	336,471$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	58,849,418$	179,109,085$	179,109,085$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Henrik Zetterberg	AGE:34	PO:0	OV:72
Mathieu Perreault	AGE:27	PO:0	OV:67
Marian Gaborik	AGE:33	PO:0	OV:66
Nick Spaling	AGE:27	PO:0	OV:62
Andrew Desjardins	AGE:29	PO:0	OV:60
Adam Lowry	AGE:22	PO:0	OV:60
Scott Laughton	AGE:21	PO:0	OV:59
Teemu Pulkkinen	AGE:23	PO:0	OV:58
Rene Bourque	AGE:33	PO:0	OV:57
Mike Brown	AGE:30	PO:0	OV:54
Jeremy Morin	AGE:24	PO:0	OV:53
Nick Ritchie	AGE:19	PO:0	OV:53
Jerry D'Amigo	AGE:24	PO:0	OV:51
*Alexander Khokhlachev	AGE:22	PO:0	OV:48
*Mario Lucia	AGE:21	PO:0	OV:46
*William Carrier	AGE:20	PO:0	OV:46
*Pontus Aberg	AGE:22	PO:0	OV:45
*Adam Tambellini	AGE:20	PO:0	OV:43
*Maxim Kitsyn	AGE:23	PO:0	OV:40
Tomas Kana	AGE:27	PO:0	OV:37
Oskar Osala	AGE:27	PO:0	OV:37

Jeff Carter	AGE:30	PO:0	OV:73
Henrik Zetterberg	AGE:34	PO:0	OV:72
Bryan Little	AGE:27	PO:0	OV:70
Mathieu Perreault	AGE:27	PO:0	OV:67
Nick Spaling	AGE:27	PO:0	OV:62
Andrew Desjardins	AGE:29	PO:0	OV:60
Adam Lowry	AGE:22	PO:0	OV:60
Marcus Kruger	AGE:25	PO:0	OV:60
Scott Laughton	AGE:21	PO:0	OV:59
*Alexander Khokhlachev	AGE:22	PO:0	OV:48
*Nick Schmaltz	AGE:19	PO:0	OV:48
*Chandler Stephenson	AGE:21	PO:0	OV:47
*Tanner Richard	AGE:22	PO:0	OV:44
*Adam Tambellini	AGE:20	PO:0	OV:43
*Dominic Toninato	AGE:21	PO:0	OV:39
Milan Kytnar	AGE:26	PO:0	OV:37

Jeff Carter	AGE:30	PO:0	OV:73
Kyle Palmieri	AGE:24	PO:0	OV:67
Marian Gaborik	AGE:33	PO:0	OV:66
Teemu Pulkkinen	AGE:23	PO:0	OV:58
Rene Bourque	AGE:33	PO:0	OV:57
Mike Brown	AGE:30	PO:0	OV:54
Jeremy Morin	AGE:24	PO:0	OV:53
Jerry D'Amigo	AGE:24	PO:0	OV:51
Scott Kosmachuk	AGE:21	PO:0	OV:49
*Nick Schmaltz	AGE:19	PO:0	OV:48
*Mario Lucia	AGE:21	PO:0	OV:46
*Nick Sorensen	AGE:20	PO:0	OV:45
*Pontus Aberg	AGE:22	PO:0	OV:45
Tomas Kana	AGE:27	PO:0	OV:37
Milan Kytnar	AGE:26	PO:0	OV:37
Oskar Osala	AGE:27	PO:0	OV:37

Défense #1

Défense #2

Gardien

Erik Karlsson	AGE:25	PO:0	OV:74
Alex Goligoski	AGE:30	PO:0	OV:70
Jason Demers	AGE:27	PO:0	OV:66
Keith Yandle	AGE:29	PO:0	OV:66
Ian Cole	AGE:26	PO:0	OV:61
Nate Prosser	AGE:29	PO:0	OV:59

Jakub Kindl	AGE:28	PO:0	OV:57
Rasmus Rissanen	AGE:24	PO:0	OV:52
Ivan Vishnevskiy	AGE:27	PO:0	OV:39
*Reece Scarlett	AGE:22	PO:0	OV:39
Cade Fairchild	AGE:26	PO:0	OV:37
Andreas Lilja	AGE:40	PO:0	OV:24

Devan Dubnyk	AGE:29	PO:0	OV:80
Alex Stalock	AGE:28	PO:0	OV:59
Philipp Grubauer	AGE:23	PO:0	OV:51
*Charlie Lindgren	AGE:21	PO:0	OV:50
Jean-Francois Berube	AGE:24	PO:0	OV:50
*David Honzik	AGE:22	PO:0	OV:45

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Jeremy Roy	Atlanta	2015	21
Julien Gauthier	Atlanta	2016	14
Kasper Bjorkqvist	Atlanta	2016	74
Keaton Middleton	Atlanta	2016	134
Zach Senyshyn	Atlanta	2015	17

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Atl	Atl	Atl	Atl
2018	Atl	Atl	Atl		Atl
2019	Atl	Atl	Atl	Atl	Atl
2020	Atl	Atl	Atl	Atl	Atl	Atl	Atl
2021	Atl	Atl	Atl	Atl	Atl	Atl	Atl

[2016-09-11 15:34:27] - Charlie Lindgren was added to Atlanta.
[2016-09-16 21:17:02] - Alex Stalock was added to Atlanta.
[2016-09-16 21:17:02] - TRADE : From Atlanta to Hartford : Y:2018-RND:4-Atl, Y:2019-RND:6-Atl.
[2016-09-16 21:17:02] - TRADE : From Hartford to Atlanta : Alex Stalock (59).
[2016-09-16 21:17:20] - Andreas Lilja was added to Atlanta.
[2016-09-16 21:17:21] - TRADE : From Atlanta to Washington : 1 $ (Money).
[2016-09-16 21:17:21] - TRADE : From Washington to Atlanta : Andreas Lilja (23).
[2016-09-21 21:47:45] - Mike Brown was added to Atlanta.
[2016-11-08 20:11:24] - Mathieu Perreault was added to Atlanta.
[2016-11-08 20:11:26] - TRADE : From Atlanta to Chicago : Nick Bonino (67).
[2016-11-08 20:11:26] - TRADE : From Chicago to Atlanta : Mathieu Perreault (66).
[2016-12-23 23:17:31] - Atlanta show interest in TJ Brennan from waiver.
[2017-01-18 19:27:17] - General Manager Change : Atlanta fired general manager Patrick Pellegrino
[2017-01-18 19:27:17] - General Manager Change : Atlanta hired general manager Benoit Toupet
[2017-01-22 09:41:53] - General Manager Change : Atlanta fired general manager Benoit Toupet
[2017-01-22 09:41:53] - General Manager Change : Atlanta hired general manager Benoit Toupin
[2017-02-13 20:00:18] - New Record for Team's Most Shots (40) in 1 Game for Atlanta!
[2017-03-05 20:00:16] - New Record for Team's Most Goals (9) in 1 Game for Atlanta!
[2017-03-05 20:00:16] - New Record for Team's Most Assists (18) in 1 Game for Atlanta!
[2017-03-05 20:00:16] - New Record for Team's Most Points (27) in 1 Game for Atlanta!
[2017-03-05 20:00:16] - New Record for Team's Most Shots (42) in 1 Game for Atlanta!
[2017-03-23 20:00:23] - New Record for Team's Most Shots Blocked (17) in 1 Game for Atlanta!

Pas de Blessure ou de Suspension.

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
Saison Régulière
2016	82	33	31	0	5	2	8	3	242	223	19	41	18	15	0	1	2	2	3	117	116	1	41	15	16	0	4	0	6	0	125	107	18	66	242	422	664	3	4	84	74	71	20	2064	720	663	654	65	2066	593	1144	1463	403	66	16.38%	472	62	86.86%	2	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	2019	1371	1915	630	1058	534
Total Saison Régulière	82	33	31	0	5	2	8	3	242	223	19	41	18	15	0	1	2	2	3	117	116	1	41	15	16	0	4	0	6	0	125	107	18	66	242	422	664	3	4	84	74	71	20	2064	720	663	654	65	2066	593	1144	1463	403	66	16.38%	472	62	86.86%	2	1418	2697	52.58%	1417	2783	50.92%	667	1260	52.94%	2019	1371	1915	630	1058	534