Ligue de hockey Simulée Ste-Flanelle

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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

#	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	Steven Stamkos	X		X		100.00	64	43	82	85	66	80	94	84	84	77	90	65	61	62	51	0	47	75	0
2	Derick Brassard	X				100.00	65	35	85	80	71	76	94	75	84	77	72	62	53	62	54	0	56	70	0
3	Alex Galchenyuk	X	X			100.00	62	43	87	81	72	75	95	72	79	69	75	63	54	48	41	0	25	68	0
4	Mikkel Boedker		X	X		100.00	57	35	90	78	73	76	90	72	35	74	70	59	58	56	48	0	55	68	0
5	Wayne Simmonds			X		100.00	71	65	60	81	59	75	94	73	45	71	75	60	55	60	49	0	54	68	0
6	Drew Stafford		X	X		100.00	58	43	84	73	74	76	93	67	63	63	70	62	50	62	53	0	59	66	0
7	Derek Roy	X				100.00	46	35	85	78	56	64	84	63	79	64	63	61	40	67	57	0	31	63	0
8	Lauri Korpikoski		X	X		100.00	64	43	90	71	66	66	88	57	43	53	60	71	45	59	49	0	26	62	0
9	Matt Hendricks	X	X			100.00	77	66	69	68	71	66	80	53	83	51	54	79	58	58	50	0	45	62	0
10	Zack Kassian		X	X		100.00	73	50	43	66	75	62	55	54	36	50	58	59	48	48	41	0	59	57	0
11	Scott Wilson (R)		X			100.00	54	50	83	73	56	53	37	44	35	38	50	61	48	35	33	0	56	51	0
12	Brendan Perlini (R)		X			100.00	50	50	50	50	71	50	50	50	50	50	50	50	50	32	30	0	45	50	0
13	Dustin Byfuglien				X	100.00	88	50	61	74	98	84	93	70	50	72	67	75	53	66	59	0	56	74	0
14	Nick Leddy				X	100.00	62	43	87	75	64	80	95	63	35	70	55	72	48	56	50	0	60	68	0
15	Erik Gudbranson				X	100.00	86	61	77	60	73	77	82	49	35	49	49	79	45	49	41	0	25	65	0
16	Jeff Petry				X	100.00	79	43	85	67	68	79	74	56	45	56	55	75	45	51	44	0	59	65	0
17	Jaccob Slavin				X	100.00	53	35	91	64	68	59	48	48	35	53	43	85	53	35	32	0	54	60	0
18	Darnell Nurse				X	100.00	75	56	75	62	68	71	60	44	35	45	43	77	48	35	32	0	21	60	0
Rayé
1	Steve Ott	X	X	X		99.30	68	61	66	67	61	64	58	49	91	50	48	66	56	71	62	0	44	58	0
2	Kevin Bieksa				X	100.00	79	61	65	67	65	77	84	49	35	49	49	74	48	68	60	0	34	65	0
3	Alexei Emelin				X	100.00	93	50	73	65	71	76	80	47	45	50	43	73	48	51	43	0	22	64	0

	MOYENNE D'ÉQUIPE					99.95	68	48	76	71	69	71	78	59	53	59	59	68	51	54	47	0	44	64

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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	Cory Schneider	100.00	92	94	97	77	92	88	90	91	86	75	83	52	47	0	22	81	0
2	Michael Hutchinson	100.00	61	45	88	76	62	58	56	63	60	77	45	41	36	0	39	60	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	70	93	77	77	73	73	77	73	76	64	47	42	0	31	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	84	88	92	88	99	99	91	CAN	56	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	Steven Stamkos	Edmonton	C/RW	69	40	49	89	25	37	5	88	139	291	0	13.75%	9	1354	19.64	9	20	29	72	285	1	1	2	8	147	6	1	52.14%	1569	0	1	1.31	2	5	0	0	1	11	6	3
2	Derick Brassard	Edmonton	C	74	26	50	76	22	44	0	88	185	215	0	12.09%	4	1422	19.22	9	13	22	57	280	0	0	0	2	182	4	2	52.81%	1888	0	0	1.07	3	7	0	0	0	3	4	6
3	Wayne Simmonds	Edmonton	RW	81	31	36	67	22	153	35	237	83	245	0	12.65%	6	1551	19.16	11	9	20	73	345	1	0	1	10	195	3	0	42.07%	164	0	1	0.86	1	3	0	3	4	2	4	8
4	Dustin Byfuglien	Edmonton	D	82	24	37	61	-3	228	10	294	95	141	0	17.02%	103	2013	24.56	15	12	27	91	393	1	0	1	3	370	5	1	0.00%	0	0	0	0.61	0	0	2	0	0	7	2	2
5	Nick Leddy	Edmonton	D	82	12	46	58	9	33	5	31	75	101	0	11.88%	72	1737	21.19	11	15	26	69	351	0	0	0	0	77	1	2	0.00%	0	0	0	0.67	0	0	0	0	1	1	3	3
6	Mikkel Boedker	Edmonton	LW/RW	73	18	38	56	16	6	0	39	54	179	0	10.06%	10	1197	16.40	3	14	17	41	275	0	0	0	1	12	2	0	26.13%	111	0	0	0.94	0	2	0	0	0	2	3	3
7	Alex Galchenyuk	Edmonton	C/LW	72	24	27	51	-1	57	15	95	102	198	0	12.12%	19	1451	20.16	4	17	21	69	340	2	1	3	5	214	1	2	48.47%	786	0	0	0.70	1	8	1	1	1	4	4	2
8	Jeff Petry	Edmonton	D	82	17	23	40	-2	66	0	106	80	84	0	20.24%	128	1788	21.81	9	6	15	43	272	0	2	2	3	412	1	0	0.00%	0	0	0	0.45	0	0	0	0	0	3	2	1
9	Drew Stafford	Edmonton	LW/RW	81	11	24	35	12	20	0	35	45	150	0	7.33%	7	1367	16.88	0	12	12	32	252	0	1	1	4	143	2	0	42.39%	92	0	0	0.51	1	3	0	0	0	0	0	2
10	Erik Gudbranson	Edmonton	D	80	7	27	34	-1	144	10	141	70	66	0	10.61%	72	1429	17.86	3	10	13	31	284	0	1	1	0	194	1	0	0.00%	0	0	0	0.48	0	0	0	1	1	1	1	0
11	Darnell Nurse	Edmonton	D	61	10	16	26	-9	126	30	122	56	69	0	14.49%	72	1326	21.75	7	5	12	44	243	0	0	0	0	197	1	0	0.00%	0	0	0	0.39	0	0	1	1	4	2	0	0
12	Alexei Emelin	Edmonton	D	70	3	15	18	4	133	5	200	49	33	0	9.09%	62	1196	17.09	2	5	7	12	100	0	0	0	0	213	2	0	0.00%	0	0	0	0.30	0	0	0	0	1	1	0	0
13	Zack Kassian	Edmonton	LW/RW	82	8	10	18	-24	109	5	156	34	67	0	11.94%	5	844	10.30	1	0	1	1	7	0	0	0	0	3	2	0	24.07%	54	0	0	0.43	0	0	0	0	0	0	0	2
14	Lauri Korpikoski	Edmonton	LW/RW	71	4	11	15	-11	18	0	17	49	79	0	5.06%	7	779	10.98	1	2	3	11	59	0	0	0	3	201	1	0	40.00%	45	0	0	0.38	0	0	0	0	0	0	1	0
15	Derek Roy	Edmonton	C	60	6	8	14	-13	0	0	3	84	73	0	8.22%	4	717	11.96	0	2	2	1	45	0	1	1	0	72	0	0	48.90%	773	0	0	0.39	0	1	0	0	0	0	1	0
16	Kevin Bieksa	Edmonton	D	62	3	9	12	-7	130	30	107	44	24	0	12.50%	61	996	16.06	1	0	1	5	40	0	0	0	0	189	0	0	0.00%	0	0	0	0.24	0	0	0	2	4	0	1	1
17	Jaccob Slavin	Edmonton	D	57	3	9	12	-2	14	0	19	36	47	0	6.38%	73	962	16.88	0	0	0	20	98	0	0	0	1	186	0	1	0.00%	0	0	0	0.25	0	0	0	0	0	0	0	1
18	Matt Hendricks	Edmonton	C/LW	72	6	4	10	-15	103	35	111	107	49	0	12.24%	9	880	12.23	0	1	1	2	33	0	0	0	7	346	0	0	48.11%	794	0	0	0.23	0	1	3	3	1	0	0	1
19	Steve Ott	Edmonton	C/LW/RW	72	4	2	6	-23	68	10	46	32	38	0	10.53%	10	771	10.71	0	0	0	2	15	0	0	0	0	154	0	0	55.00%	160	0	0	0.16	0	0	0	1	1	0	1	0
20	Brendan Perlini	Edmonton	LW	27	0	1	1	-1	4	0	19	3	10	0	0.00%	0	261	9.70	0	0	0	1	22	0	0	0	0	10	0	0	36.00%	25	0	0	0.08	0	0	0	0	0	0	0	0
21	Scott Wilson	Edmonton	LW	19	0	0	0	3	6	0	5	9	9	0	0.00%	0	134	7.05	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1429	257	442	699	1	1499	195	1959	1431	2168	0	11.85%	733	24183	16.92	86	143	229	677	3747	5	7	12	47	3527	32	9	49.83%	6466	0	2	0.58	8	30	7	12	19	37	33	35

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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	Cory Schneider	Edmonton	75	31	34	5	0.891	3.17	4065	6	4	215	1974	0	2	4	0.750	24	71	11	3	4	3
2	Michael Hutchinson	Edmonton	21	3	8	1	0.866	3.85	905	0	0	58	433	0	2	1	0.250	4	11	71	1	0	0
Stats d'équipe Total ou en Moyenne		96	34	42	6	0.887	3.30	4971	6	4	273	2407	0	4	5	0.679	28	82	82	4	4	3

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

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
Alex Galchenyuk	Edmonton	C/LW	21	1994-02-12	No	207 Lbs	6 ft1	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$						Lien
Alexei Emelin	Edmonton	D	29	1986-04-25	No	216 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	2,175,000$	2,175,000$	2,175,000$	2,175,000$			Lien
Brendan Perlini	Edmonton	LW	19	1996-04-27	Yes	205 Lbs	6 ft2	No	No	4	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Cory Schneider	Edmonton	G	29	1986-03-18	No	205 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	1,800,000$						Lien
Darnell Nurse	Edmonton	D	20	1995-02-04	No	205 Lbs	6 ft4	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$				Lien
Derek Roy	Edmonton	C	32	1983-05-04	No	184 Lbs	5 ft9	No	No	4	Sans Restriction	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	3,200,000$			Lien
Derick Brassard	Edmonton	C	28	1987-09-22	No	205 Lbs	6 ft1	No	No	6	Avec Restriction	Pro & Farm	4,800,000$	4,800,000$	4,500,000$	4,400,000$	4,200,000$	4,000,000$	Lien
Drew Stafford	Edmonton	LW/RW	29	1985-10-30	No	214 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$					Lien
Dustin Byfuglien	Edmonton	D	30	1985-03-27	No	260 Lbs	6 ft5	No	No	4	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$	8,000,000$	8,000,000$			Lien
Erik Gudbranson	Edmonton	D	23	1992-01-07	No	216 Lbs	6 ft5	No	No	5	Avec Restriction	Pro & Farm	2,000,000$	2,250,000$	2,500,000$	2,750,000$	3,000,000$		Lien
Jaccob Slavin	Edmonton	D	21	1994-05-01	No	205 Lbs	6 ft2	No	No	4	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Jeff Petry	Edmonton	D	27	1987-12-09	No	204 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	2,500,000$						Lien
Kevin Bieksa	Edmonton	D	34	1981-06-16	No	200 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	4,020,000$						Lien
Lauri Korpikoski	Edmonton	LW/RW	29	1986-07-28	No	193 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,225,000$						Lien
Matt Hendricks	Edmonton	C/LW	34	1981-06-17	No	207 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	849,999$						Lien
Michael Hutchinson	Edmonton	G	25	1990-03-02	No	202 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$					Lien
Mikkel Boedker	Edmonton	LW/RW	25	1989-12-16	No	211 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	1,300,000$						Lien
Nick Leddy	Edmonton	D	24	1991-03-20	No	199 Lbs	6 ft0	No	No	4	Avec Restriction	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	2,100,000$			Lien
Scott Wilson	Edmonton	LW	23	1992-04-24	Yes	183 Lbs	5 ft11	No	No	3	Avec Restriction	Pro & Farm	642,000$	642,000$	642,000$				Lien
Steve Ott	Edmonton	C/LW/RW	33	1982-08-19	No	189 Lbs	6 ft0	No	No	3	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	1,500,000$				Lien
Steven Stamkos	Edmonton	C/RW	25	1990-02-07	No	194 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	6,500,000$						Lien
Wayne Simmonds	Edmonton	RW	27	1988-08-26	No	185 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	3,400,000$						Lien
Zack Kassian	Edmonton	LW/RW	24	1991-01-24	No	217 Lbs	6 ft3	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	925,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	26.57	205 Lbs	6 ft2	2.61	2,358,130$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
54,236,999$	31,967,000$	28,317,000$	24,475,000$	7,200,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alex Galchenyuk	Steven Stamkos	Wayne Simmonds	35	1	1	3
2	Drew Stafford	Derick Brassard	Mikkel Boedker	35	1	1	3
3	Brendan Perlini	Matt Hendricks	Zack Kassian	20	1	4	0
4	Scott Wilson	Derek Roy	Lauri Korpikoski	10	1	4	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Jaccob Slavin	40	1	2	2
2	Jeff Petry	Nick Leddy	30	1	3	1
3	Erik Gudbranson	Darnell Nurse	20	1	3	1
4	Nick Leddy	Dustin Byfuglien	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alex Galchenyuk	Steven Stamkos	Wayne Simmonds	60	0	1	4
2	Mikkel Boedker	Derick Brassard	Drew Stafford	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Nick Leddy	60	1	2	2
2	Jeff Petry	Dustin Byfuglien	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Derick Brassard	Wayne Simmonds	60	1	2	2
2	Derek Roy	Lauri Korpikoski	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Erik Gudbranson	60	1	2	2
2	Jeff Petry	Jaccob Slavin	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Derek Roy	60	1	2	2	Dustin Byfuglien	Erik Gudbranson	60	1	2	2
2	Derick Brassard	40	1	2	2	Jeff Petry	Jaccob Slavin	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Steven Stamkos	Wayne Simmonds	60	1	2	2
2	Derick Brassard	Alex Galchenyuk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Nick Leddy	60	1	2	2
2	Jeff Petry	Jaccob Slavin	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex Galchenyuk	Steven Stamkos	Wayne Simmonds	Dustin Byfuglien	Nick Leddy

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alex Galchenyuk	Steven Stamkos	Wayne Simmonds	Dustin Byfuglien	Nick Leddy

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Steven Stamkos, Wayne Simmonds, Alex Galchenyuk	Steven Stamkos, Wayne Simmonds	Derick Brassard

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dustin Byfuglien, Nick Leddy, Erik Gudbranson	Dustin Byfuglien	Jaccob Slavin, Dustin Byfuglien

Tirs de Pénalité
Steven Stamkos, Alex Galchenyuk, Wayne Simmonds, Brendan Perlini, Mikkel Boedker

Gardien
#1 : Cory Schneider, #2 : Michael Hutchinson

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	5	0	3	0	1	0	0	1	12	17	-5	2	0	1	0	0	0	0	1	3	5	-2	3	0	2	0	1	0	0	0	9	12	-3	3	0.300	12	21	33	1	0	4	1	6	1	119	51	27	39	5	155	43	69	110	32	4	12.50%	31	4	87.10%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	119	80	122	38	63	31
Atlanta	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	6	9	15	0	0	3	2	1	0	43	13	15	15	0	58	24	30	39	10	2	20.00%	14	5	64.29%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	46	32	50	15	23	10
Boston	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	6	9	0	0	0	1	2	0	39	11	18	10	0	87	20	45	45	10	0	0.00%	20	4	80.00%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	42	27	54	15	23	11
Buffalo	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	1	0	2	1	0	0	47	17	18	12	0	60	19	32	37	6	0	0.00%	15	2	86.67%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	45	31	50	15	23	10
Calgary	4	0	4	0	0	0	0	0	8	20	-12	2	0	2	0	0	0	0	0	5	10	-5	2	0	2	0	0	0	0	0	3	10	-7	0	0.000	8	13	21	1	0	2	3	3	0	85	26	33	26	0	130	36	79	84	18	2	11.11%	27	7	74.07%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	83	53	105	31	51	24
Philadelphie	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	8	12	0	0	3	0	1	0	46	16	14	16	0	60	19	26	43	8	1	12.50%	12	5	58.33%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	42	27	50	15	26	12
Chicago	3	0	3	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	8	12	0	0	1	1	2	0	58	22	16	20	0	95	25	63	57	9	2	22.22%	23	8	65.22%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	68	46	73	21	38	18
Colorado	3	2	1	0	0	0	0	0	14	8	6	1	0	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	11	4	7	4	0.667	14	26	40	0	0	2	6	6	0	73	25	27	21	0	74	29	41	59	19	5	26.32%	17	3	82.35%	1	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	68	45	71	23	40	21
Kansas City	3	1	2	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	6	-3	2	0.333	10	18	28	0	0	3	4	3	0	87	28	28	31	0	91	24	41	61	12	2	16.67%	17	5	70.59%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	68	47	73	21	37	19
Detroit	2	0	0	0	0	0	1	1	7	7	0	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	1	0	6	5	1	3	0.750	7	11	18	0	0	2	3	1	3	38	9	12	16	6	50	18	32	42	5	1	20.00%	16	2	87.50%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	44	28	56	18	28	12
Islanders	2	0	1	0	1	0	0	0	6	9	-3	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	11	17	0	0	1	0	4	1	60	22	18	18	2	51	14	34	46	9	2	22.22%	12	4	66.67%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	47	32	49	15	25	13
LA Kings	5	3	1	0	0	0	0	1	23	19	4	3	1	1	0	0	0	0	1	14	13	1	2	2	0	0	0	0	0	0	9	6	3	7	0.700	23	39	62	0	0	9	9	5	1	149	55	52	40	8	144	36	74	108	31	9	29.03%	36	6	83.33%	1	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	117	78	121	41	65	30
Minnesota	3	1	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	10	19	29	0	0	5	1	4	0	98	28	31	39	0	93	25	40	67	15	3	20.00%	15	4	73.33%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	69	46	72	23	37	19
Hartford	2	0	1	0	0	0	1	0	4	6	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	0	1	0	3	2	1	2	0.500	4	5	9	0	0	3	0	0	2	53	15	24	12	5	61	13	35	57	12	0	0.00%	10	1	90.00%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	50	35	47	15	26	13
Ottawa	2	2	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	4	0	4	4	1.000	7	12	19	0	2	1	3	3	0	51	15	19	17	0	37	9	21	31	10	3	30.00%	7	0	100.00%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	50	36	44	14	25	12
Pittsburgh	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	7	11	0	0	1	2	1	0	65	15	21	29	0	57	17	24	40	10	0	0.00%	10	5	50.00%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	49	34	44	15	25	13
Rangers	2	1	1	0	0	0	0	0	10	8	2	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	6	3	3	2	0.500	10	18	28	0	0	2	4	4	0	65	23	23	19	0	58	18	18	32	18	5	27.78%	9	1	88.89%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	55	42	40	14	23	11
San Jose	5	4	0	0	1	0	0	0	30	14	16	2	2	0	0	0	0	0	0	12	2	10	3	2	0	0	1	0	0	0	18	12	6	10	1.000	30	55	85	0	0	14	9	6	1	174	60	57	56	1	144	28	87	91	28	8	28.57%	38	5	86.84%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	136	96	104	35	62	32
St-Louis	3	1	1	0	0	0	0	1	7	7	0	1	0	1	0	0	0	0	0	1	2	-1	2	1	0	0	0	0	0	1	6	5	1	3	0.500	7	13	20	0	0	2	2	3	0	78	26	22	29	4	94	42	32	62	15	2	13.33%	15	1	93.33%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	64	43	83	22	37	18
Tampa Bay	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	12	18	0	0	2	3	1	0	46	21	12	13	0	57	14	36	43	9	0	0.00%	17	3	82.35%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	46	29	47	15	26	13
Toronto	2	1	0	0	0	0	1	0	7	5	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	7	10	17	0	0	1	5	0	1	63	20	23	19	4	81	17	36	47	9	1	11.11%	16	4	75.00%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	46	32	52	15	25	12
Vancouver	5	3	1	0	0	1	0	0	14	9	5	3	2	1	0	0	0	0	0	8	5	3	2	1	0	0	0	1	0	0	6	4	2	7	0.700	14	27	41	0	2	4	6	4	0	145	57	52	36	0	130	36	63	106	23	4	17.39%	28	4	85.71%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	117	79	123	38	61	30
Quebec	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	11	17	0	0	1	3	2	0	44	11	8	25	0	44	9	30	45	11	1	9.09%	15	2	86.67%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	48	31	46	15	24	12
Winnipeg	3	2	0	0	1	0	0	0	13	8	5	1	1	0	0	0	0	0	0	5	2	3	2	1	0	0	1	0	0	0	8	6	2	6	1.000	13	22	35	0	0	5	2	5	1	89	36	20	32	1	98	20	43	81	15	8	53.33%	18	5	72.22%	1	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	75	51	69	23	38	18
Nashville	5	0	2	0	1	0	2	0	16	17	-1	3	0	2	0	0	0	1	0	8	11	-3	2	0	0	0	1	0	1	0	8	6	2	6	0.600	16	26	42	1	0	4	8	1	4	128	39	56	30	10	151	54	123	117	28	5	17.86%	36	4	88.89%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	116	75	129	41	65	32
Montreal	2	0	1	0	0	1	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	7	-6	1	0	0	0	0	1	0	0	2	3	-1	1	0.250	3	5	8	0	0	1	0	2	0	43	6	12	21	4	61	17	24	45	6	1	16.67%	12	2	83.33%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	42	27	51	16	27	13
Washington	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	11	17	1	0	4	2	0	0	39	13	17	9	0	54	18	26	52	11	2	18.18%	13	4	69.23%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	47	31	45	16	27	13
Caroline	2	0	2	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	2	3	0	0	0	0	1	0	63	30	19	14	0	48	11	40	36	11	0	0.00%	13	2	84.62%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	48	32	46	16	24	11
Las Vegas	3	0	3	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	7	12	19	0	0	4	2	1	0	77	30	25	22	0	89	23	53	81	16	5	31.25%	23	5	78.26%	0	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	73	47	67	23	38	18
Vs Division	29	10	11	0	3	1	2	2	103	96	7	15	5	7	0	0	0	1	2	50	46	4	14	5	4	0	3	1	1	0	53	50	3	33	0.569	103	181	284	3	2	37	36	25	7	800	288	277	227	24	854	233	495	616	160	32	20.00%	196	30	84.69%	1	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	690	464	706	227	370	181
Vs Conference	50	17	23	0	4	1	2	3	168	168	0	25	8	14	0	0	0	1	2	80	81	-1	25	9	9	0	4	1	1	1	88	87	1	50	0.500	168	299	467	3	2	59	54	49	8	1360	483	446	421	29	1488	421	808	1084	261	59	22.61%	324	61	81.17%	3	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	1178	791	1218	386	638	315
Since Last GM Reset	82	24	42	0	5	2	5	4	251	282	-31	41	13	23	0	1	0	1	3	117	133	-16	41	11	19	0	4	2	4	1	134	149	-15	74	0.451	251	443	694	5	4	86	83	72	15	2165	740	719	686	50	2412	678	1297	1764	416	78	18.75%	535	107	80.00%	3	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	1935	1304	1997	637	1046	514
Total	82	24	42	0	5	2	5	4	251	282	-31	41	13	23	0	1	0	1	3	117	133	-16	41	11	19	0	4	2	4	1	134	149	-15	74	0.451	251	443	694	5	4	86	83	72	15	2165	740	719	686	50	2412	678	1297	1764	416	78	18.75%	535	107	80.00%	3	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	1935	1304	1997	637	1046	514

			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	74	W1	251	443	694	2165	2412	678	1297	1764	5	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	24	42	5	2	5	4	251	282

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	23	1	0	1	3	117	133

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	11	19	4	2	4	1	134	149

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	1	1	0	1

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
416	78	18.75%	535	107	80.00%	3

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
740	719	686	50	86	83	72	15

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
1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%

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
1935	1304	1997	637	1046	514

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
1 - 2016-10-12	3	Calgary	5	Edmonton	2	L			Sommaire du Match
3 - 2016-10-14	15	Edmonton	1	Calgary	6	L			Sommaire du Match
5 - 2016-10-16	31	Buffalo	4	Edmonton	2	L			Sommaire du Match
7 - 2016-10-18	48	Caroline	2	Edmonton	1	L			Sommaire du Match
9 - 2016-10-20	60	St-Louis	2	Edmonton	1	L			Sommaire du Match
12 - 2016-10-23	79	Edmonton	3	Winnipeg	2	W	X		Sommaire du Match
15 - 2016-10-26	95	Washington	3	Edmonton	4	W			Sommaire du Match
17 - 2016-10-28	111	Edmonton	3	Vancouver	0	W			Sommaire du Match
19 - 2016-10-30	129	Ottawa	0	Edmonton	3	W			Sommaire du Match
21 - 2016-11-01	142	Edmonton	4	Toronto	3	W	X	X	Sommaire du Match
23 - 2016-11-03	151	Edmonton	6	Rangers	3	W			Sommaire du Match
25 - 2016-11-05	167	Edmonton	2	Islanders	6	L			Sommaire du Match
26 - 2016-11-06	174	Edmonton	6	Detroit	5	W	X	X	Sommaire du Match
28 - 2016-11-08	186	Edmonton	3	Pittsburgh	5	L			Sommaire du Match
31 - 2016-11-11	211	Kansas City	3	Edmonton	4	W			Sommaire du Match
33 - 2016-11-13	228	Rangers	5	Edmonton	4	L			Sommaire du Match
35 - 2016-11-15	242	Edmonton	3	Anaheim	5	L			Sommaire du Match
37 - 2016-11-17	252	Edmonton	5	LA Kings	3	W			Sommaire du Match
39 - 2016-11-19	260	Edmonton	3	Kansas City	6	L			Sommaire du Match
41 - 2016-11-21	281	Chicago	5	Edmonton	3	L			Sommaire du Match
43 - 2016-11-23	296	Edmonton	6	Colorado	3	W			Sommaire du Match
45 - 2016-11-25	308	Edmonton	4	Nashville	3	W	X		Sommaire du Match
47 - 2016-11-27	326	Nashville	4	Edmonton	2	L			Sommaire du Match
49 - 2016-11-29	338	Toronto	2	Edmonton	3	W			Sommaire du Match
51 - 2016-12-01	352	Edmonton	5	Winnipeg	4	W			Sommaire du Match
53 - 2016-12-03	365	Anaheim	3	Edmonton	2	L			Sommaire du Match
54 - 2016-12-04	376	Minnesota	4	Edmonton	3	L			Sommaire du Match
56 - 2016-12-06	389	Edmonton	1	Buffalo	3	L			Sommaire du Match
58 - 2016-12-08	397	Edmonton	3	Philadelphie	5	L			Sommaire du Match
59 - 2016-12-09	408	Edmonton	1	Minnesota	3	L			Sommaire du Match
61 - 2016-12-11	428	Winnipeg	2	Edmonton	5	W			Sommaire du Match
63 - 2016-12-13	436	Atlanta	6	Edmonton	2	L			Sommaire du Match
67 - 2016-12-17	469	Tampa Bay	2	Edmonton	5	W			Sommaire du Match
69 - 2016-12-19	479	Edmonton	4	St-Louis	2	W			Sommaire du Match
71 - 2016-12-21	494	Edmonton	4	Nashville	3	W	X	X	Sommaire du Match
73 - 2016-12-23	508	Edmonton	6	San Jose	5	W			Sommaire du Match
79 - 2016-12-29	542	LA Kings	3	Edmonton	6	W			Sommaire du Match
81 - 2016-12-31	550	Vancouver	2	Edmonton	4	W			Sommaire du Match
84 - 2017-01-03	568	Edmonton	4	Atlanta	5	L			Sommaire du Match
86 - 2017-01-05	578	Edmonton	2	Boston	6	L			Sommaire du Match
88 - 2017-01-07	594	Edmonton	3	Hartford	2	W	X	X	Sommaire du Match
89 - 2017-01-08	606	Edmonton	4	Ottawa	0	W			Sommaire du Match
91 - 2017-01-10	617	San Jose	1	Edmonton	6	W			Sommaire du Match
93 - 2017-01-12	631	Hartford	4	Edmonton	1	L			Sommaire du Match
95 - 2017-01-14	649	Calgary	5	Edmonton	3	L			Sommaire du Match
97 - 2017-01-16	662	Nashville	4	Edmonton	2	L			Sommaire du Match
99 - 2017-01-18	675	Quebec	1	Edmonton	3	W			Sommaire du Match
101 - 2017-01-20	689	Las Vegas	3	Edmonton	2	L			Sommaire du Match
102 - 2017-01-21	699	Edmonton	2	Calgary	4	L			Sommaire du Match
106 - 2017-01-25	727	Edmonton	3	Anaheim	5	L			Sommaire du Match
107 - 2017-01-26	737	Edmonton	6	San Jose	5	W	X		Sommaire du Match
112 - 2017-01-31	742	Minnesota	3	Edmonton	6	W			Sommaire du Match
114 - 2017-02-02	762	Edmonton	3	Las Vegas	5	L			Sommaire du Match
115 - 2017-02-03	766	Edmonton	0	Caroline	2	L			Sommaire du Match
117 - 2017-02-05	785	Edmonton	2	Montreal	3	L	X		Sommaire du Match
123 - 2017-02-11	827	Chicago	5	Edmonton	0	L			Sommaire du Match
126 - 2017-02-14	842	Nashville	3	Edmonton	4	W	X	X	Sommaire du Match
128 - 2017-02-16	852	Philadelphie	5	Edmonton	1	L			Sommaire du Match
130 - 2017-02-18	863	Edmonton	1	Chicago	4	L			Sommaire du Match
133 - 2017-02-21	887	Edmonton	1	Tampa Bay	5	L			Sommaire du Match
134 - 2017-02-22	891	Edmonton	3	Quebec	5	L			Sommaire du Match
136 - 2017-02-24	900	Edmonton	2	Washington	4	L			Sommaire du Match
138 - 2017-02-26	915	Edmonton	2	Las Vegas	4	L			Sommaire du Match
140 - 2017-02-28	931	Edmonton	2	St-Louis	3	L	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04	960	Detroit	2	Edmonton	1	L	X	X	Sommaire du Match
147 - 2017-03-07	979	Islanders	3	Edmonton	4	W	X		Sommaire du Match
150 - 2017-03-10	999	Pittsburgh	2	Edmonton	1	L			Sommaire du Match
152 - 2017-03-12	1013	Montreal	7	Edmonton	1	L			Sommaire du Match
154 - 2017-03-14	1026	Kansas City	4	Edmonton	3	L			Sommaire du Match
156 - 2017-03-16	1046	Boston	4	Edmonton	1	L			Sommaire du Match
158 - 2017-03-18	1061	Vancouver	3	Edmonton	2	L			Sommaire du Match
160 - 2017-03-20	1074	LA Kings	6	Edmonton	5	L	X	X	Sommaire du Match
162 - 2017-03-22	1087	Edmonton	3	Anaheim	2	W	X		Sommaire du Match
163 - 2017-03-23	1099	Edmonton	5	Colorado	1	W			Sommaire du Match
165 - 2017-03-25	1114	Colorado	4	Edmonton	3	L			Sommaire du Match
168 - 2017-03-28	1134	LA Kings	4	Edmonton	3	L			Sommaire du Match
170 - 2017-03-30	1145	San Jose	1	Edmonton	6	W			Sommaire du Match
172 - 2017-04-01	1164	Anaheim	2	Edmonton	1	L	X	X	Sommaire du Match
175 - 2017-04-04	1185	Edmonton	4	LA Kings	3	W			Sommaire du Match
177 - 2017-04-06	1196	Edmonton	6	San Jose	2	W			Sommaire du Match
179 - 2017-04-08	1218	Edmonton	3	Vancouver	4	L	X		Sommaire du Match
180 - 2017-04-09	1228	Vancouver	0	Edmonton	2	W			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	6000	5000	2000	4000	1500
Prix des Billets	150	100	60	25	300
Assistance	183269	133882	77121	163530	38802
Attendance PCT	74.50%	65.31%	94.05%	99.71%	63.09%

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	14551 - 78.66%	1,499,634$	61,485,010$	18500	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
54,236,999$	54,136,999$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
53,100,219$	299,652$	52,597,476$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	302,414$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	54,808,494$	145,546,737$	145,546,737$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Alex Galchenyuk	AGE:21	PO:0	OV:68
Mikkel Boedker	AGE:25	PO:0	OV:68
Drew Stafford	AGE:29	PO:0	OV:66
Lauri Korpikoski	AGE:29	PO:0	OV:62
Matt Hendricks	AGE:34	PO:0	OV:62
Steve Ott	AGE:33	PO:0	OV:58
Zack Kassian	AGE:24	PO:0	OV:57
*Scott Wilson	AGE:23	PO:0	OV:51
*Brendan Perlini	AGE:19	PO:0	OV:50
Patrick Bordeleau	AGE:29	PO:0	OV:50
Alexandre Bolduc	AGE:30	PO:0	OV:47
Frazer McLaren	AGE:27	PO:0	OV:43
*Erik F. Karlsson	AGE:21	PO:0	OV:41
*Pierre Engvall	AGE:19	PO:0	OV:40
*Anders Bjork	AGE:19	PO:0	OV:39
*Radel Fazleev	AGE:19	PO:0	OV:39
Bill Sweatt	AGE:27	PO:0	OV:38
Marcel Mueller	AGE:27	PO:0	OV:38

Steven Stamkos	AGE:25	PO:0	OV:75
Derick Brassard	AGE:28	PO:0	OV:70
Alex Galchenyuk	AGE:21	PO:0	OV:68
Derek Roy	AGE:32	PO:0	OV:63
Matt Hendricks	AGE:34	PO:0	OV:62
Steve Ott	AGE:33	PO:0	OV:58
Ben Street	AGE:28	PO:0	OV:48
Alexandre Bolduc	AGE:30	PO:0	OV:47
*Carter Verhaeghe	AGE:20	PO:0	OV:44
*Erik F. Karlsson	AGE:21	PO:0	OV:41
*Dan O'Regan	AGE:21	PO:0	OV:39
*Radel Fazleev	AGE:19	PO:0	OV:39

Steven Stamkos	AGE:25	PO:0	OV:75
Mikkel Boedker	AGE:25	PO:0	OV:68
Wayne Simmonds	AGE:27	PO:0	OV:68
Drew Stafford	AGE:29	PO:0	OV:66
Lauri Korpikoski	AGE:29	PO:0	OV:62
Steve Ott	AGE:33	PO:0	OV:58
Zack Kassian	AGE:24	PO:0	OV:57
Jared Boll	AGE:29	PO:0	OV:52
Jordan Szwarz	AGE:24	PO:0	OV:51
Patrick Bordeleau	AGE:29	PO:0	OV:50
*John Piccinich	AGE:19	PO:0	OV:42
*Radel Fazleev	AGE:19	PO:0	OV:39
Marcel Mueller	AGE:27	PO:0	OV:38

Défense #1

Défense #2

Gardien

Dustin Byfuglien	AGE:30	PO:0	OV:74
Nick Leddy	AGE:24	PO:0	OV:68
Erik Gudbranson	AGE:23	PO:0	OV:65
Jeff Petry	AGE:27	PO:0	OV:65
Kevin Bieksa	AGE:34	PO:0	OV:65
Alexei Emelin	AGE:29	PO:0	OV:64
Brad Stuart	AGE:35	PO:0	OV:62

Jaccob Slavin	AGE:21	PO:0	OV:60
Darnell Nurse	AGE:20	PO:0	OV:60
Matt Irwin	AGE:27	PO:0	OV:57
Danny Biega	AGE:24	PO:0	OV:53
Christopher Breen	AGE:26	PO:0	OV:40
Dmitry Korobov	AGE:26	PO:0	OV:40

Cory Schneider	AGE:29	PO:0	OV:81
Michael Hutchinson	AGE:25	PO:0	OV:60
*Marcus Hogberg	AGE:20	PO:0	OV:45
Jonas Johansson	AGE:20	PO:0	OV:44
*Evan Cowley	AGE:20	PO:0	OV:42
Mike Murphy	AGE:26	PO:0	OV:40
*Merrick Madsen	AGE:20	PO:0	OV:40
*Alec Dillon	AGE:19	PO:0	OV:39

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
Adam Mascherin	Edmonton	2016	37
Brad Morrison	Edmonton	2015	96
Parker Wotherspoon	Edmonton	2015	106
Rem Pitlick	Edmonton	2016	78
Travis Konecny	Edmonton	2015	18
Victor Mete	Edmonton	2016	90
Vince Dunn	Edmonton	2015	37

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Edm		Que Edm		Bos		LA
2018	Edm	Edm	Edm			Edm
2019	Edm	Edm	Edm	Edm	Edm	Edm
2020	Edm	Edm	Edm	Edm	Edm	Edm	Edm
2021	Edm	Edm	Edm	Edm	Edm	Edm	Edm

[2016-11-13 09:14:52] - Dustin Byfuglien was added to Edmonton.
[2016-11-13 09:14:53] - TRADE : From Calgary to Edmonton : Dustin Byfuglien (74), Y:2017-RND:3-Cal.
[2016-11-13 09:14:53] - TRADE : From Edmonton to Calgary : Taylor Hall (70), Y:2018-RND:4-Edm, Y:2019-RND:7-Edm.
[2016-12-11 20:00:27] - New Record for Team's Most Hits (34) in 1 Game for Edmonton!
[2017-01-12 20:00:23] - New Record for Team's Most Hits (39) in 1 Game for Edmonton!
[2017-01-12 20:00:23] - New Record for Team's Most Hits (39) in 1 Game for Edmonton!
[2017-01-16 20:00:20] - New Record for Team's Most Penalties Minutes (50) in 1 Game for Edmonton!
[2017-02-07 20:12:30] - TRADE : From Edmonton to Boston : Derek MacKenzie (61).
[2017-02-07 20:12:30] - TRADE : From Boston to Edmonton : Y:2017-RND:5-Bos.
[2017-02-12 09:47:05] - Alex Galchenyuk was added to Edmonton.
[2017-02-12 09:47:05] - Erik Gudbranson was added to Edmonton.
[2017-02-12 09:47:06] - TRADE : From Edmonton to Quebec : Evgeny Kuznetsov (69), Zach Bogosian (67), Y:2017-RND:3-Cal.
[2017-02-12 09:47:06] - TRADE : From Quebec to Edmonton : Alex Galchenyuk (69), Erik Gudbranson (65), Y:2017-RND:3-Que.
[2017-02-23 22:15:39] - Darnell Nurse was added to Edmonton.
[2017-02-23 22:15:40] - TRADE : From Edmonton to Washington : Ryan Fitzgerald (41), Dante Fabbro (P), Dennis Yan (P).
[2017-02-23 22:15:40] - TRADE : From Washington to Edmonton : Darnell Nurse (60), Y:2017-RND:7-LA .

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	24	42	0	5	2	5	4	251	282	-31	41	13	23	0	1	0	1	3	117	133	-16	41	11	19	0	4	2	4	1	134	149	-15	48	251	443	694	5	4	86	83	72	15	2165	740	719	686	50	2412	678	1297	1764	416	78	18.75%	535	107	80.00%	3	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	1935	1304	1997	637	1046	514
Total Saison Régulière	82	24	42	0	5	2	5	4	251	282	-31	41	13	23	0	1	0	1	3	117	133	-16	41	11	19	0	4	2	4	1	134	149	-15	48	251	443	694	5	4	86	83	72	15	2165	740	719	686	50	2412	678	1297	1764	416	78	18.75%	535	107	80.00%	3	1337	2639	50.66%	1470	3032	48.48%	641	1333	48.09%	1935	1304	1997	637	1046	514