Ligue de hockey Simulée Ste-Flanelle

Crunch
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

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	Patrick Kane (A)			X		100.00	50	35	86	92	53	81	93	88	45	86	89	63	52	70	66	0	50	76	0
2	David Legwand	X	X			100.00	52	35	88	71	72	66	93	59	83	60	58	73	56	80	70	0	50	65	0
3	Cal Clutterbuck			X		100.00	78	35	85	72	75	66	93	58	35	51	64	71	50	58	50	0	54	64	0
4	Casey Cizikas	X				100.00	65	43	85	73	69	65	93	58	83	57	58	76	48	47	42	0	58	64	0
5	Trevor Lewis	X	X	X		100.00	63	35	88	70	69	71	92	57	77	53	61	71	45	60	57	0	54	63	0
6	Devante Smith-Pelly		X	X		100.00	70	35	84	74	74	65	82	58	35	53	63	62	45	48	43	0	46	61	0
7	Boyd Gordon	X				100.00	50	43	89	66	69	65	80	48	90	45	50	77	45	68	60	0	54	60	0
8	Joakim Nordstrom		X	X		100.00	65	35	90	71	62	66	63	55	45	54	56	77	45	44	39	0	54	60	0
9	Joonas Donskoi (R)		X	X		100.00	50	35	88	76	55	56	53	60	45	61	58	64	58	37	35	0	54	58	0
10	Jacob De La Rose	X	X			100.00	59	35	87	64	72	62	43	46	62	44	48	66	48	36	34	0	44	53	0
11	Michael Dal Colle (R)		X			100.00	55	55	55	55	57	55	55	55	55	55	55	55	55	32	30	0	46	53	0
12	Devin Shore (R)	X	X			100.00	50	35	95	66	71	53	35	35	35	35	35	65	48	35	32	0	75	48	0
13	Ryan Suter (C)				X	100.00	69	50	84	74	68	91	95	64	35	75	53	86	48	70	59	0	62	73	0
14	Andrei Markov (A)				X	100.00	55	43	83	76	62	85	95	66	35	74	57	78	45	78	69	0	35	71	0
15	Justin Braun				X	100.00	64	43	83	67	68	77	93	52	35	57	47	88	48	54	47	0	46	67	0
16	Jonathan Ericsson				X	100.00	74	50	76	64	74	74	90	48	35	51	45	78	48	63	56	0	25	66	0
17	Mattias Ekholm				X	100.00	60	35	81	71	72	71	91	54	35	56	51	80	48	44	41	0	54	65	0
18	Anthony Deangelo (R)				X	100.00	50	50	50	50	52	50	50	50	50	50	50	50	50	32	30	0	45	49	0
Rayé
1	Brett Sutter	X	X			100.00	52	43	80	69	69	49	34	43	49	42	44	61	47	48	44	0	19	51	0
2	Eric Gryba				X	88.31	88	65	65	60	78	70	75	46	35	48	43	80	48	45	39	0	23	63	0
3	Chad Ruhwedel				X	100.00	54	43	75	68	61	61	37	43	35	47	39	71	48	42	38	0	37	56	0
4	Seth Helgeson (R)				X	100.00	68	43	75	60	72	56	37	35	35	38	32	70	48	35	32	0	19	54	0

	MOYENNE D'ÉQUIPE					99.45	61	42	81	69	67	66	71	54	49	54	53	71	49	51	46	0	46	61

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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Sergei Bobrovsky	100.00	80	72	96	74	79	83	78	77	87	84	80	50	43	0	26	75	0
2	Jhonas Enroth	100.00	67	45	91	60	66	67	65	65	68	65	63	49	45	0	30	62	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	59	94	67	73	75	72	71	78	75	72	50	44	0	28	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Quenneville	76	95	88	83	99	99	90	CAN	58	2	500,000$

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	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	Patrick Kane	Buffalo	RW	71	33	39	72	18	26	0	47	137	274	0	12.04%	3	1300	18.32	9	9	18	68	272	1	3	4	3	64	6	2	31.53%	203	0	4	1.11	1	6	0	0	0	9	5	2
2	Ryan Suter	Buffalo	D	81	10	39	49	2	120	20	147	125	140	0	7.14%	119	1988	24.55	9	13	22	103	399	0	1	1	1	297	1	0	0.00%	0	0	0	0.49	0	1	2	0	2	0	1	4
3	Andrei Markov	Buffalo	D	68	11	36	47	7	30	0	48	96	86	0	12.79%	70	1621	23.85	10	12	22	64	287	0	0	0	0	258	3	0	0.00%	0	0	0	0.58	0	0	0	0	0	2	3	2
4	Mattias Ekholm	Buffalo	D	82	13	33	46	-2	46	0	50	78	120	0	10.83%	72	1642	20.03	9	11	20	80	285	0	2	2	0	207	0	0	0.00%	0	0	0	0.56	1	1	0	0	0	2	1	2
5	Cal Clutterbuck	Buffalo	RW	82	17	26	43	0	70	0	164	79	192	0	8.85%	7	1437	17.53	3	10	13	60	342	1	0	1	7	128	4	1	31.61%	193	0	0	0.60	0	3	0	0	0	3	3	2
6	Casey Cizikas	Buffalo	C	82	14	26	40	-1	50	10	48	155	138	0	10.14%	12	1352	16.49	1	5	6	20	190	1	0	1	2	198	3	3	50.63%	1436	0	0	0.59	1	2	1	0	1	2	1	4
7	Trevor Lewis	Buffalo	C/LW/RW	82	16	20	36	-11	28	0	78	84	173	0	9.25%	11	1222	14.91	4	8	12	44	303	0	0	0	0	21	1	0	48.34%	602	0	0	0.59	1	1	0	0	0	2	2	1
8	Justin Braun	Buffalo	D	74	10	25	35	-5	68	10	91	75	90	0	11.11%	91	1557	21.04	6	8	14	55	265	1	0	1	3	237	0	1	0.00%	0	0	0	0.45	0	0	0	1	1	0	3	0
9	Joonas Donskoi	Buffalo	LW/RW	82	15	19	34	2	12	0	36	53	137	0	10.95%	6	1172	14.30	3	5	8	28	323	0	0	0	0	5	3	0	20.39%	103	0	0	0.58	0	2	0	0	0	3	1	4
10	David Legwand	Buffalo	C/LW	72	14	17	31	13	26	0	50	94	88	0	15.91%	15	1230	17.09	2	4	6	15	126	1	1	2	2	178	3	1	55.49%	802	0	0	0.50	0	6	0	0	0	0	2	5
11	Devante Smith-Pelly	Buffalo	LW/RW	80	14	16	30	-1	32	0	108	57	112	0	12.50%	3	1314	16.43	1	7	8	20	300	0	0	0	1	115	0	0	32.43%	74	0	0	0.46	1	1	0	0	0	1	2	2
12	Joakim Nordstrom	Buffalo	LW/RW	82	13	11	24	-12	36	0	70	90	107	0	12.15%	18	1009	12.31	0	2	2	1	31	0	0	0	5	210	1	1	29.73%	74	0	0	0.48	0	0	0	0	0	3	0	1
13	Boyd Gordon	Buffalo	C	82	8	10	18	-9	8	0	23	187	70	0	11.43%	14	1127	13.75	1	2	3	2	37	1	0	1	7	343	5	1	57.23%	1431	0	0	0.32	0	0	0	0	0	1	2	2
14	Jonathan Ericsson	Buffalo	D	71	4	12	16	-19	86	10	90	43	47	0	8.51%	70	1167	16.45	1	0	1	13	108	0	0	0	0	88	0	0	0.00%	0	0	0	0.27	0	0	0	2	0	0	1	0
15	Eric Gryba	Buffalo	D	70	2	13	15	-8	179	35	187	51	38	0	5.26%	61	1198	17.12	1	2	3	14	86	0	2	2	0	189	0	0	0.00%	0	0	0	0.25	0	0	1	3	3	0	0	1
16	Devin Shore	Buffalo	C/LW	43	0	7	7	-15	6	0	8	23	10	0	0.00%	2	529	12.31	0	4	4	0	97	0	0	0	0	18	0	0	30.79%	419	0	0	0.26	0	1	0	0	0	0	0	0
17	Jacob De La Rose	Buffalo	C/LW	68	2	4	6	-7	20	0	52	39	36	0	5.56%	6	663	9.75	0	0	0	1	2	0	0	0	0	14	0	0	43.68%	190	0	0	0.18	0	0	0	0	0	1	0	0
18	Anthony Deangelo	Buffalo	D	39	1	2	3	-10	28	0	37	7	6	0	16.67%	3	494	12.67	0	1	1	0	14	0	0	0	0	54	0	0	43.75%	16	0	0	0.12	0	0	0	0	0	0	0	1
19	Chad Ruhwedel	Buffalo	D	39	1	2	3	-16	18	0	29	22	16	0	6.25%	11	451	11.58	0	0	0	0	8	0	0	0	0	23	0	0	27.78%	18	0	0	0.13	0	0	0	0	0	0	1	0
20	Michael Dal Colle	Buffalo	LW	13	2	0	2	-11	0	0	10	5	8	0	25.00%	0	141	10.87	0	0	0	0	9	0	0	0	0	0	0	0	33.33%	12	0	0	0.28	0	0	0	0	0	0	0	0
21	Brett Sutter	Buffalo	C/LW	53	1	0	1	-9	10	0	18	14	11	0	9.09%	0	449	8.49	0	0	0	0	4	0	0	0	0	47	0	0	30.32%	155	0	0	0.04	0	0	0	0	0	0	0	0
22	Seth Helgeson	Buffalo	D	10	0	1	1	-10	16	0	22	5	3	0	0.00%	11	142	14.25	0	1	1	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.14	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1426	201	358	559	-104	915	85	1413	1519	1902	0	10.57%	605	23216	16.28	60	104	164	588	3501	6	9	15	31	2705	30	10	47.99%	5728	0	4	0.48	5	24	4	6	7	29	28	33

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 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	Sergei Bobrovsky	Buffalo	69	29	29	7	0.897	2.62	3917	2	4	171	1658	0	2	2	0.679	28	65	17	4	2	2
2	Jhonas Enroth	Buffalo	23	5	11	1	0.864	3.68	1044	17	0	64	469	0	1	0	0.000	0	17	64	1	2	0
Stats d'équipe Total ou en Moyenne		92	34	40	8	0.890	2.84	4962	19	4	235	2127	0	3	2	0.679	28	82	81	5	4	2

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
Andrei Markov (Contrat à 1 Volet)	Buffalo	D	36	1978-12-20	No	194 Lbs	6 ft0	No	No	3	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$	8,000,000$				Lien
Anthony Deangelo	Buffalo	D	19	1995-10-24	Yes	175 Lbs	5 ft10	No	No	4	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Boyd Gordon	Buffalo	C	31	1983-10-19	No	200 Lbs	6 ft0	Yes	No	5	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	1,750,000$	1,500,000$		Lien
Brett Sutter	Buffalo	C/LW	28	1987-06-02	No	200 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	600,000$						Lien
Cal Clutterbuck	Buffalo	RW	27	1987-11-18	No	218 Lbs	5 ft11	No	No	6	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	Lien
Casey Cizikas	Buffalo	C	24	1991-02-27	No	201 Lbs	5 ft11	No	No	2	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$					Lien
Chad Ruhwedel	Buffalo	D	25	1990-05-07	No	191 Lbs	5 ft11	No	No	1	Avec Restriction	Pro & Farm	925,000$						Lien
David Legwand (Contrat à 1 Volet)	Buffalo	C/LW	35	1980-08-17	No	207 Lbs	6 ft2	Yes	No	2	Sans Restriction	Pro & Farm	1,800,000$	1,800,000$					Lien
Devante Smith-Pelly	Buffalo	LW/RW	23	1992-06-14	No	214 Lbs	6 ft0	No	No	6	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	Lien
Devin Shore	Buffalo	C/LW	21	1994-07-19	Yes	205 Lbs	6 ft1	No	No	4	Contrat d'Entrée	Pro & Farm	818,000$	818,000$	818,000$	818,000$			Lien
Eric Gryba	Buffalo	D	27	1988-04-14	No	228 Lbs	6 ft4	No	No	1	Avec Restriction	Pro & Farm	525,000$						Lien
Jacob De La Rose	Buffalo	C/LW	20	1995-05-20	No	207 Lbs	6 ft3	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$				Lien
Jhonas Enroth	Buffalo	G	27	1988-06-25	No	171 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$					Lien
Joakim Nordstrom	Buffalo	LW/RW	23	1992-02-25	No	189 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$					Lien
Jonathan Ericsson	Buffalo	D	31	1984-03-02	No	220 Lbs	6 ft4	Yes	No	5	Sans Restriction	Pro & Farm	3,312,890$	3,312,890$	3,312,890$	3,312,890$	3,312,890$		Lien
Joonas Donskoi	Buffalo	LW/RW	23	1992-04-13	Yes	180 Lbs	6 ft0	No	No	4	Avec Restriction	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Justin Braun	Buffalo	D	28	1987-02-10	No	205 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,400,000$						Lien
Mattias Ekholm	Buffalo	D	25	1990-05-24	No	215 Lbs	6 ft4	No	No	3	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$	1,800,000$				Lien
Michael Dal Colle	Buffalo	LW	19	1996-06-20	Yes	182 Lbs	6 ft1	No	No	4	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	925,000$	925,000$			Lien
Patrick Kane	Buffalo	RW	26	1988-11-19	No	177 Lbs	5 ft11	No	No	6	Avec Restriction	Pro & Farm	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	Lien
Ryan Suter	Buffalo	D	30	1985-01-21	No	206 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	6,000,000$						Lien
Sergei Bobrovsky	Buffalo	G	27	1988-09-20	No	199 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	3,000,000$						Lien
Seth Helgeson	Buffalo	D	24	1990-10-08	Yes	215 Lbs	6 ft4	No	No	3	Avec Restriction	Pro & Farm	595,000$	595,000$	595,000$				Lien
Trevor Lewis	Buffalo	C/LW/RW	28	1987-01-08	No	199 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	900,000$						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	26.13	200 Lbs	6 ft1	2.96	2,048,995$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
49,175,890$	35,825,890$	30,675,890$	19,105,890$	15,262,890$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joonas Donskoi	David Legwand	Patrick Kane	25	1	2	2
2	Michael Dal Colle	Casey Cizikas	Cal Clutterbuck	25	1	2	2
3	Trevor Lewis	Boyd Gordon	Joakim Nordstrom	25	1	2	2
4	Jacob De La Rose	Devin Shore	Devante Smith-Pelly	25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Andrei Markov	30	1	2	2
2	Mattias Ekholm	Justin Braun	30	1	2	2
3	Jonathan Ericsson	Anthony Deangelo	30	1	2	2
4	Ryan Suter	Andrei Markov	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Joonas Donskoi	David Legwand	Patrick Kane	60	1	2	2
2	Michael Dal Colle	Casey Cizikas	Cal Clutterbuck	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Andrei Markov	60	1	2	2
2	Mattias Ekholm	Justin Braun	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Boyd Gordon	Joakim Nordstrom	60	1	2	2
2	Casey Cizikas	Cal Clutterbuck	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Andrei Markov	60	1	2	2
2	Mattias Ekholm	Justin Braun	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Boyd Gordon	60	1	2	2	Ryan Suter	Andrei Markov	60	1	2	2
2	Casey Cizikas	40	1	2	2	Mattias Ekholm	Justin Braun	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	David Legwand	Patrick Kane	60	1	2	2
2	Casey Cizikas	Cal Clutterbuck	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Andrei Markov	60	1	2	2
2	Mattias Ekholm	Justin Braun	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Joonas Donskoi	David Legwand	Patrick Kane	Ryan Suter	Andrei Markov

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
David Legwand	Casey Cizikas	Joakim Nordstrom	Ryan Suter	Andrei Markov

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Patrick Kane, Devin Shore, Jacob De La Rose	Devante Smith-Pelly, Joakim Nordstrom	David Legwand

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jonathan Ericsson, Anthony Deangelo, Ryan Suter	Anthony Deangelo	Jonathan Ericsson, Anthony Deangelo

Tirs de Pénalité
Devin Shore, Devante Smith-Pelly, Cal Clutterbuck, Casey Cizikas, Trevor Lewis

Gardien
#1 : Jhonas Enroth, #2 : Sergei Bobrovsky

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	0	1	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0.250	3	4	7	0	0	1	1	1	0	37	14	12	10	1	53	16	14	41	9	1	11.11%	7	1	85.71%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	51	36	46	15	26	13
Atlanta	3	1	2	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	8	5	3	2	0.333	9	18	27	0	0	1	5	3	0	58	13	25	20	0	80	21	45	70	15	3	20.00%	14	1	92.86%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	62	39	80	23	37	17
Boston	4	0	2	0	0	0	1	1	7	14	-7	2	0	1	0	0	0	1	0	4	7	-3	2	0	1	0	0	0	0	1	3	7	-4	3	0.375	7	10	17	0	0	3	1	2	4	96	33	16	46	12	106	21	44	66	29	3	10.34%	20	3	85.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	108	74	88	32	52	26
Calgary	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	8	12	0	0	3	0	1	0	47	17	19	11	0	61	14	32	23	16	2	12.50%	11	1	90.91%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	49	32	45	16	25	12
Philadelphie	3	1	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	4	2	2	2	0.333	6	10	16	0	0	3	1	2	0	81	23	37	21	0	80	16	24	58	17	1	5.88%	11	2	81.82%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	70	47	70	22	38	18
Chicago	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	3	6	9	0	0	1	0	2	0	37	11	12	14	0	55	18	28	37	8	1	12.50%	14	4	71.43%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	40	25	54	15	24	12
Colorado	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	10	15	1	0	3	0	2	0	45	19	5	21	0	56	13	24	26	8	0	0.00%	11	1	90.91%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	46	30	48	16	25	12
Kansas City	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	9	14	0	0	1	3	1	0	47	10	22	15	0	61	17	18	47	4	0	0.00%	9	2	77.78%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	45	29	49	13	25	12
Detroit	4	4	0	0	0	0	0	0	12	5	7	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	7	2	5	8	1.000	12	20	32	0	1	3	1	8	0	95	17	33	45	0	97	30	66	75	19	4	21.05%	31	3	90.32%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	90	59	99	31	50	24
Edmonton	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	12	19	0	0	2	3	2	0	60	18	24	18	0	47	14	14	40	15	2	13.33%	6	0	100.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	50	34	45	14	23	12
Islanders	3	1	1	0	1	0	0	0	6	6	0	2	1	1	0	0	0	0	0	3	4	-1	1	0	0	0	1	0	0	0	3	2	1	4	0.667	6	12	18	0	1	2	2	1	1	65	18	16	29	2	83	28	35	60	17	1	5.88%	14	3	78.57%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	69	45	75	23	37	19
LA Kings	2	1	0	0	0	1	0	0	6	6	0	1	0	0	0	0	1	0	0	1	2	-1	1	1	0	0	0	0	0	0	5	4	1	3	0.750	6	9	15	0	0	2	2	2	0	54	17	18	18	1	50	19	37	39	13	0	0.00%	16	3	81.25%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	47	31	51	15	25	12
Minnesota	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	1	0	1	2	0.500	3	6	9	0	1	2	0	1	0	60	20	14	26	0	55	13	22	26	15	1	6.67%	10	3	70.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	52	36	40	15	27	14
Hartford	3	2	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	4	4	0	4	0.667	7	10	17	0	0	3	2	2	0	68	24	26	18	0	80	26	41	63	17	0	0.00%	12	1	91.67%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	71	48	72	22	36	18
Ottawa	5	2	3	0	0	0	0	0	19	20	-1	2	2	0	0	0	0	0	0	12	7	5	3	0	3	0	0	0	0	0	7	13	-6	4	0.400	19	35	54	0	0	7	8	4	0	162	57	58	47	0	131	30	45	93	29	5	17.24%	20	10	50.00%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	134	93	101	35	64	34
Pittsburgh	3	0	2	0	1	0	0	0	9	11	-2	2	0	1	0	1	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	9	16	25	1	0	1	4	3	1	78	19	32	25	2	76	19	30	60	19	2	10.53%	15	2	86.67%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	70	46	73	24	40	20
Rangers	3	0	2	0	0	0	0	1	6	11	-5	2	0	2	0	0	0	0	0	4	8	-4	1	0	0	0	0	0	0	1	2	3	-1	1	0.167	6	10	16	0	0	4	1	1	0	95	38	22	33	5	84	15	33	63	18	3	16.67%	13	1	92.31%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	80	56	67	22	37	18
San Jose	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	11	19	30	0	0	4	3	4	0	44	14	19	11	0	56	15	35	33	12	5	41.67%	12	3	75.00%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	48	31	46	14	24	13
St-Louis	2	0	1	0	0	0	0	1	5	9	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	9	14	0	0	2	2	1	1	39	17	15	5	5	62	20	22	41	8	2	25.00%	11	1	90.91%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	41	26	57	16	26	11
Tampa Bay	4	0	2	0	0	1	1	0	8	14	-6	2	0	1	0	0	0	1	0	6	6	0	2	0	1	0	0	1	0	0	2	8	-6	3	0.375	8	12	20	0	0	3	3	1	2	75	31	24	19	6	102	43	42	68	25	3	12.00%	20	3	85.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	99	69	99	31	49	24
Toronto	5	5	0	0	0	0	0	0	20	10	10	3	3	0	0	0	0	0	0	12	5	7	2	2	0	0	0	0	0	0	8	5	3	10	1.000	20	35	55	0	0	8	8	4	0	156	62	48	46	0	100	33	46	95	24	5	20.83%	22	3	86.36%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	133	94	102	35	64	34
Vancouver	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	11	17	0	0	2	3	1	0	44	15	16	13	0	45	20	21	34	12	2	16.67%	8	2	75.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	46	30	48	15	25	13
Quebec	4	1	2	0	0	1	0	0	9	11	-2	2	1	1	0	0	0	0	0	6	5	1	2	0	1	0	0	1	0	0	3	6	-3	3	0.375	9	15	24	0	0	1	5	3	0	90	21	30	39	0	80	25	50	72	15	0	0.00%	18	2	88.89%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	105	71	82	28	52	27
Winnipeg	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	2	3	5	0	0	1	0	1	0	31	12	5	14	0	52	20	44	26	8	0	0.00%	21	4	80.95%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	45	30	50	16	24	11
Nashville	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	1	2	1	0	53	15	20	18	0	76	16	26	35	10	1	10.00%	13	2	84.62%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	40	25	52	16	27	12
Montreal	4	1	3	0	0	0	0	0	13	15	-2	2	1	1	0	0	0	0	0	6	5	1	2	0	2	0	0	0	0	0	7	10	-3	2	0.250	13	24	37	0	0	8	1	4	0	82	32	26	24	0	108	37	51	59	17	3	17.65%	15	3	80.00%	1	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	81	53	105	32	52	25
Washington	3	1	0	0	0	0	1	1	7	5	2	1	0	0	0	0	0	0	1	2	3	-1	2	1	0	0	0	0	1	0	5	2	3	5	0.833	7	10	17	0	1	3	2	1	1	72	24	29	16	10	62	16	34	63	13	4	30.77%	16	0	100.00%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	79	55	68	23	42	21
Caroline	3	2	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	3	3	0	4	0.667	6	12	18	0	0	2	1	3	0	61	21	19	21	0	76	25	30	56	21	5	23.81%	15	1	93.33%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	76	51	64	23	38	20
Las Vegas	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	7	12	19	0	0	2	3	2	0	47	10	15	22	0	55	19	35	40	8	4	50.00%	15	4	73.33%	0	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	48	31	45	15	26	13
Vs Division	30	13	12	0	0	2	2	1	88	89	-1	15	9	4	0	0	0	2	0	51	38	13	15	4	8	0	0	2	0	1	37	51	-14	33	0.550	88	151	239	0	1	33	27	26	6	756	253	235	266	18	724	219	344	528	158	23	14.56%	146	27	81.51%	4	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	753	515	679	227	386	198
Vs Conference	54	21	23	0	2	2	3	3	144	147	-3	27	12	11	0	1	0	2	1	75	71	4	27	9	12	0	1	2	1	2	69	76	-7	57	0.528	144	249	393	1	3	52	45	42	9	1334	433	441	449	37	1345	385	616	1021	295	42	14.24%	256	38	85.16%	4	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	1334	907	1252	412	694	352
Since Last GM Reset	82	29	40	0	2	4	3	4	215	241	-26	41	15	21	0	1	1	2	1	109	120	-11	41	14	19	0	1	3	1	3	106	121	-15	76	0.463	215	375	590	2	4	79	67	64	10	1979	642	657	665	44	2129	619	988	1509	441	63	14.29%	420	69	83.57%	6	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	1988	1340	1933	629	1052	533
Total	82	29	40	0	2	4	3	4	215	241	-26	41	15	21	0	1	1	2	1	109	120	-11	41	14	19	0	1	3	1	3	106	121	-15	76	0.463	215	375	590	2	4	79	67	64	10	1979	642	657	665	44	2129	619	988	1509	441	63	14.29%	420	69	83.57%	6	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	1988	1340	1933	629	1052	533

			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	76	OTL1	215	375	590	1979	2129	619	988	1509	2	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	29	40	2	4	3	4	215	241

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	21	1	1	2	1	109	120

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	19	1	3	1	3	106	121

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
441	63	14.29%	420	69	83.57%	6

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
642	657	665	44	79	67	64	10

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
1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%

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
1988	1340	1933	629	1052	533

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	10	Montreal	4	Buffalo	3	L			Sommaire du Match
5 - 2016-10-16	31	Buffalo	4	Edmonton	2	W			Sommaire du Match
7 - 2016-10-18	47	Buffalo	2	Calgary	3	L			Sommaire du Match
9 - 2016-10-20	61	Buffalo	3	Vancouver	2	W			Sommaire du Match
14 - 2016-10-25	85	Buffalo	4	Philadelphie	2	W			Sommaire du Match
16 - 2016-10-27	98	Minnesota	3	Buffalo	2	L			Sommaire du Match
18 - 2016-10-29	121	Quebec	3	Buffalo	2	L			Sommaire du Match
19 - 2016-10-30	123	Buffalo	0	Winnipeg	2	L			Sommaire du Match
21 - 2016-11-01	133	Buffalo	1	Minnesota	0	W			Sommaire du Match
23 - 2016-11-03	149	Toronto	2	Buffalo	4	W			Sommaire du Match
25 - 2016-11-05	165	Buffalo	2	Ottawa	3	L			Sommaire du Match
27 - 2016-11-07	180	Buffalo	3	Boston	4	L	X	X	Sommaire du Match
29 - 2016-11-09	194	Ottawa	2	Buffalo	5	W			Sommaire du Match
31 - 2016-11-11	206	Hartford	1	Buffalo	3	W			Sommaire du Match
32 - 2016-11-12	219	Buffalo	2	Hartford	3	L			Sommaire du Match
35 - 2016-11-15	231	Buffalo	3	St-Louis	4	L	X	X	Sommaire du Match
37 - 2016-11-17	253	Tampa Bay	2	Buffalo	1	L			Sommaire du Match
39 - 2016-11-19	268	Pittsburgh	4	Buffalo	5	W	X		Sommaire du Match
41 - 2016-11-21	276	Calgary	3	Buffalo	2	L			Sommaire du Match
43 - 2016-11-23	288	Detroit	2	Buffalo	3	W			Sommaire du Match
45 - 2016-11-25	302	Buffalo	3	Washington	2	W	X	X	Sommaire du Match
49 - 2016-11-29	333	Buffalo	3	Ottawa	4	L			Sommaire du Match
51 - 2016-12-01	346	Rangers	4	Buffalo	2	L			Sommaire du Match
53 - 2016-12-03	366	Boston	1	Buffalo	2	W	X	X	Sommaire du Match
55 - 2016-12-05	380	Buffalo	2	Washington	0	W			Sommaire du Match
56 - 2016-12-06	389	Edmonton	1	Buffalo	3	W			Sommaire du Match
59 - 2016-12-09	405	Washington	3	Buffalo	2	L	X	X	Sommaire du Match
63 - 2016-12-13	437	LA Kings	2	Buffalo	1	L	X		Sommaire du Match
66 - 2016-12-16	459	Islanders	4	Buffalo	1	L			Sommaire du Match
67 - 2016-12-17	466	Buffalo	2	Caroline	1	W			Sommaire du Match
70 - 2016-12-20	487	Buffalo	1	Quebec	2	L	X		Sommaire du Match
72 - 2016-12-22	495	Caroline	2	Buffalo	3	W			Sommaire du Match
73 - 2016-12-23	509	Buffalo	3	Islanders	2	W	X		Sommaire du Match
77 - 2016-12-27	521	Buffalo	4	Detroit	0	W			Sommaire du Match
79 - 2016-12-29	532	Boston	6	Buffalo	2	L			Sommaire du Match
81 - 2016-12-31	552	Buffalo	0	Boston	3	L			Sommaire du Match
84 - 2017-01-03	565	Buffalo	2	Rangers	3	L	X	X	Sommaire du Match
86 - 2017-01-05	582	Buffalo	0	Chicago	5	L			Sommaire du Match
88 - 2017-01-07	600	Winnipeg	5	Buffalo	2	L			Sommaire du Match
91 - 2017-01-10	619	Philadelphie	2	Buffalo	1	L			Sommaire du Match
93 - 2017-01-12	626	Buffalo	1	Tampa Bay	6	L			Sommaire du Match
94 - 2017-01-13	637	Buffalo	1	Caroline	2	L			Sommaire du Match
97 - 2017-01-16	657	Kansas City	4	Buffalo	2	L			Sommaire du Match
98 - 2017-01-17	665	Buffalo	4	Toronto	2	W			Sommaire du Match
101 - 2017-01-20	686	Detroit	1	Buffalo	2	W			Sommaire du Match
102 - 2017-01-21	693	Buffalo	3	Montreal	4	L			Sommaire du Match
105 - 2017-01-24	720	Buffalo	4	Las Vegas	7	L			Sommaire du Match
107 - 2017-01-26	735	Buffalo	3	Kansas City	4	L			Sommaire du Match
112 - 2017-01-31	750	Buffalo	4	Montreal	6	L			Sommaire du Match
114 - 2017-02-02	758	Rangers	4	Buffalo	2	L			Sommaire du Match
116 - 2017-02-04	775	Ottawa	5	Buffalo	7	W			Sommaire du Match
118 - 2017-02-06	788	Buffalo	2	Hartford	1	W			Sommaire du Match
119 - 2017-02-07	790	San Jose	4	Buffalo	6	W			Sommaire du Match
121 - 2017-02-09	807	Anaheim	3	Buffalo	1	L			Sommaire du Match
123 - 2017-02-11	821	Buffalo	4	Toronto	3	W			Sommaire du Match
124 - 2017-02-12	833	Vancouver	4	Buffalo	3	L			Sommaire du Match
126 - 2017-02-14	839	Buffalo	2	Ottawa	6	L			Sommaire du Match
128 - 2017-02-16	854	Colorado	1	Buffalo	4	W			Sommaire du Match
130 - 2017-02-18	862	St-Louis	5	Buffalo	2	L			Sommaire du Match
131 - 2017-02-19	869	Chicago	4	Buffalo	3	L			Sommaire du Match
137 - 2017-02-25	911	Buffalo	1	Colorado	3	L			Sommaire du Match
138 - 2017-02-26	918	Buffalo	4	Nashville	5	L			Sommaire du Match
140 - 2017-02-28	926	Las Vegas	5	Buffalo	3	L			Sommaire du Match
142 - 2017-03-02	937	Nashville	5	Buffalo	0	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	953	Tampa Bay	4	Buffalo	5	W	X	X	Sommaire du Match
145 - 2017-03-05	964	Buffalo	3	Pittsburgh	4	L			Sommaire du Match
147 - 2017-03-07	973	Philadelphie	4	Buffalo	1	L			Sommaire du Match
150 - 2017-03-10	995	Buffalo	6	Atlanta	2	W			Sommaire du Match
151 - 2017-03-11	1004	Atlanta	2	Buffalo	1	L			Sommaire du Match
154 - 2017-03-14	1028	Buffalo	5	San Jose	1	W			Sommaire du Match
156 - 2017-03-16	1037	Buffalo	5	LA Kings	4	W			Sommaire du Match
157 - 2017-03-17	1052	Buffalo	2	Anaheim	3	L	X		Sommaire du Match
160 - 2017-03-20	1071	Buffalo	3	Detroit	2	W			Sommaire du Match
161 - 2017-03-21	1076	Pittsburgh	3	Buffalo	1	L			Sommaire du Match
165 - 2017-03-25	1106	Toronto	1	Buffalo	4	W			Sommaire du Match
167 - 2017-03-27	1124	Quebec	2	Buffalo	4	W			Sommaire du Match
168 - 2017-03-28	1130	Buffalo	2	Atlanta	3	L			Sommaire du Match
173 - 2017-04-02	1166	Islanders	0	Buffalo	2	W			Sommaire du Match
174 - 2017-04-03	1176	Toronto	2	Buffalo	4	W			Sommaire du Match
176 - 2017-04-05	1192	Montreal	1	Buffalo	3	W			Sommaire du Match
179 - 2017-04-08	1213	Buffalo	2	Quebec	4	L			Sommaire du Match
180 - 2017-04-09	1230	Buffalo	1	Tampa Bay	2	L	X		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	7500	6000	2500	4000	2000
Prix des Billets	125	75	50	30	200
Assistance	251376	204588	98252	161810	53369
Attendance PCT	81.75%	83.17%	95.86%	98.66%	65.08%

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	18766 - 85.30%	1,639,190$	67,206,800$	22000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
50,775,890$	50,625,890$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
50,499,844$	280,530$	49,997,114$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	283,292$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	51,976,680$	77,711,756$	77,711,756$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

David Legwand	AGE:35	PO:0	OV:65
Trevor Lewis	AGE:28	PO:0	OV:63
Devante Smith-Pelly	AGE:23	PO:0	OV:61
Joakim Nordstrom	AGE:23	PO:0	OV:60
*Joonas Donskoi	AGE:23	PO:0	OV:58
Ilya Kovalchuk	AGE:32	PO:0	OV:56
Jacob De La Rose	AGE:20	PO:0	OV:53
*Michael Dal Colle	AGE:19	PO:0	OV:53
Brett Sutter	AGE:28	PO:0	OV:51
Eric Boulton	AGE:39	PO:0	OV:51
*Devin Shore	AGE:21	PO:0	OV:48
Roman Horak	AGE:24	PO:0	OV:44
*Mackenzie MacEachern	AGE:21	PO:0	OV:44
Eric Wellwood	AGE:25	PO:0	OV:42
Harri Pesonen	AGE:27	PO:0	OV:38

David Legwand	AGE:35	PO:0	OV:65
Casey Cizikas	AGE:24	PO:0	OV:64
Trevor Lewis	AGE:28	PO:0	OV:63
Boyd Gordon	AGE:31	PO:0	OV:60
Jacob De La Rose	AGE:20	PO:0	OV:53
Brett Sutter	AGE:28	PO:0	OV:51
Joey Hishon	AGE:23	PO:0	OV:50
*Devin Shore	AGE:21	PO:0	OV:48
Roman Horak	AGE:24	PO:0	OV:44
Louis Leblanc	AGE:24	PO:0	OV:38
Olli Jokinen	AGE:36	PO:0	OV:24

Patrick Kane	AGE:26	PO:0	OV:76
Cal Clutterbuck	AGE:27	PO:0	OV:64
Trevor Lewis	AGE:28	PO:0	OV:63
Devante Smith-Pelly	AGE:23	PO:0	OV:61
Joakim Nordstrom	AGE:23	PO:0	OV:60
*Joonas Donskoi	AGE:23	PO:0	OV:58
Ilya Kovalchuk	AGE:32	PO:0	OV:56
Akim Aliu	AGE:26	PO:0	OV:44
*Austin Wuthrich	AGE:22	PO:0	OV:42
Louis Leblanc	AGE:24	PO:0	OV:38

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:30	PO:0	OV:73
Andrei Markov	AGE:36	PO:0	OV:71
Justin Braun	AGE:28	PO:0	OV:67
Jonathan Ericsson	AGE:31	PO:0	OV:66
Mattias Ekholm	AGE:25	PO:0	OV:65
Eric Gryba	AGE:27	PO:0	OV:63
Chris Butler	AGE:28	PO:0	OV:57
Chad Ruhwedel	AGE:25	PO:0	OV:56

Jarred Tinordi	AGE:23	PO:0	OV:54
*Seth Helgeson	AGE:24	PO:0	OV:54
*Ryan Johnston	AGE:23	PO:0	OV:50
*Anthony Deangelo	AGE:19	PO:0	OV:49
Jesse Blacker	AGE:24	PO:0	OV:49
*Patrick McNally	AGE:23	PO:0	OV:41
Matthew Konan	AGE:24	PO:0	OV:38

Sergei Bobrovsky	AGE:27	PO:0	OV:75
Jhonas Enroth	AGE:27	PO:0	OV:62
Jussi Rynnas	AGE:28	PO:0	OV:48
*Adam Morrison	AGE:24	PO:0	OV:45
Connor Knapp	AGE:25	PO:0	OV:45
*Mike Lee	AGE:24	PO:0	OV:42
Tomas Popperle	AGE:30	PO:0	OV:40

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
Anatoli Golyshev	Buffalo	2016	125
Andrew Peeke	Buffalo	2016	67
Arvid Henrikson	Buffalo	2016	208
Callum Booth	Buffalo	2015	92
Clayton Keller	Buffalo	2016	6
Eetu Tuulola	Buffalo	2016	172
Henrik Borgstrom	Buffalo	2016	35
Matthew Tkachuk	Buffalo	2016	5
Mikhail Maltsev	Buffalo	2016	138
Patrick Harper	Buffalo	2016	139
William Bitten	Buffalo	2016	49

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Buf	Win Buf	Buf Tor	Buf	Buf	Buf	Buf
2018	Buf	Buf	Mon Buf	Buf	Buf Nas	Buf	Buf
2019	Buf	Buf	Buf	Buf	Buf	Buf	Buf
2020	Buf	Buf	Buf	Buf	Buf	Buf	Buf
2021	Buf	Buf	Buf	Buf	Buf	Buf	Buf

[2016-09-11 15:33:01] - Buffalo drafts Arvid Henrikson as the #208 overall pick in the Entry Draft of year 2016.
[2016-09-14 06:53:53] - TRADE : From Buffalo to Toronto : Brandon Dubinsky (71), Evander Kane (66).
[2016-09-14 06:53:53] - TRADE : From Toronto to Buffalo : Matthew Tkachuk (P), Y:2017-RND:3-Tor.
[2016-09-14 06:54:47] - TRADE : From Buffalo to Quebec : Paul Martin (68).
[2016-09-14 06:55:56] - Unknown Player is no longer as assistant for Buffalo.
[2016-09-14 06:55:56] - Paul Martin has been selected as assistant for Buffalo.
[2016-09-16 21:10:51] - David Legwand was added to Buffalo.
[2016-09-16 21:10:59] - Ryan Johnston was added to Buffalo.
[2016-09-21 21:47:23] - Eric Wellwood was added to Buffalo.
[2016-10-30 20:00:16] - Paul Martin is no longer as assistant for Buffalo.
[2016-10-30 20:00:16] - Andrei Markov has been selected as assistant for Buffalo.
[2016-12-20 22:25:17] - Devin Shore was added to Buffalo.
[2016-12-20 22:25:17] - Michael Dal Colle was added to Buffalo.
[2016-12-20 22:25:19] - TRADE : From Buffalo to Nashville : Martin Hanzal (68).
[2016-12-20 22:25:19] - TRADE : From Nashville to Buffalo : Devin Shore (48), Michael Dal Colle (53), Y:2018-RND:5-Nas.
[2017-02-04 08:30:37] - Buffalo paid 682 320 $ to release Bryce Van Brabant.
[2017-02-04 08:30:37] - Bryce Van Brabant was released.
[2017-02-04 08:30:43] - Buffalo paid 682 320 $ to release David Broll.
[2017-02-04 08:30:43] - David Broll was released.

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	29	40	0	2	4	3	4	215	241	-26	41	15	21	0	1	1	2	1	109	120	-11	41	14	19	0	1	3	1	3	106	121	-15	58	215	375	590	2	4	79	67	64	10	1979	642	657	665	44	2129	619	988	1509	441	63	14.29%	420	69	83.57%	6	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	1988	1340	1933	629	1052	533
Total Saison Régulière	82	29	40	0	2	4	3	4	215	241	-26	41	15	21	0	1	1	2	1	109	120	-11	41	14	19	0	1	3	1	3	106	121	-15	58	215	375	590	2	4	79	67	64	10	1979	642	657	665	44	2129	619	988	1509	441	63	14.29%	420	69	83.57%	6	1266	2634	48.06%	1302	2622	49.66%	632	1255	50.36%	1988	1340	1933	629	1052	533