NorthEastern Hockey League Testing

Washington Americans
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière

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	Maxime Roy		X			99.00	60	45	25	71	52	74	80	84	78	62	96	60	70	99	98	48	53	71	0
2	Craig Schaufelberge		X			98.50	61	11	89	60	85	57	58	91	81	90	94	23	84	99	99	32	52	71	0
3	Reed Carlill	X				99.00	30	4	99	71	77	86	75	69	26	82	76	50	50	92	96	39	49	69	0
4	Jesse Hagar			X		98.50	1	1	99	62	77	42	54	69	95	86	77	72	50	99	99	30	49	68	0
5	Merrill Bascombe	X				99.00	90	45	26	76	74	74	38	63	47	60	63	87	70	93	99	44	52	68	0
6	Olivier Mourrette			X		99.00	51	40	70	74	58	78	71	72	42	61	81	55	70	99	76	50	49	67	0
7	Tim Kozatek	X				100.00	1	1	99	54	87	69	84	82	46	58	69	81	77	99	99	33	52	67	0
8	Luke Redican		X			99.00	15	1	99	69	75	60	55	71	34	65	99	41	98	99	99	20	52	67	0
9	Christian Hagy		X			100.00	33	17	99	71	82	72	80	79	59	71	93	18	70	99	50	39	52	66	0
10	Todd Alves			X		100.00	58	73	63	74	66	82	73	67	25	54	73	63	70	76	61	48	52	64	0
11	Trevor Bosma				X	99.00	99	48	51	81	70	71	69	81	76	58	74	45	61	99	71	33	49	68	0
12	Kurt Coyazo				X	99.00	25	13	99	74	75	79	69	77	70	68	77	62	70	99	84	46	49	68	0
13	Nick Bisignano				X	100.00	18	2	99	70	77	84	81	64	15	55	54	78	50	99	82	26	52	67	0
14	Ross Langella				X	100.00	24	13	99	72	77	77	85	65	35	56	41	78	70	99	76	31	52	67	0
15	Brian Hill				X	100.00	7	1	99	65	76	67	78	70	80	60	57	79	66	99	99	17	52	66	0
16	Vaughn Rehagen				X	100.00	78	44	42	74	68	86	78	79	45	60	83	29	70	99	76	51	52	65	0
17	Desmond Bergin				X	100.00	44	40	97	69	60	91	78	61	14	51	54	73	49	83	67	40	52	65	0
18	Seth Cihon				X	100.00	29	20	99	73	67	76	76	81	49	75	95	33	70	92	45	47	52	63	0
Rayé
1	Cory Ridgel			X		100.00	74	24	92	74	76	67	67	69	21	64	58	46	70	99	57	35	49	63	0
2	Lawton Grambo	X				100.00	84	27	74	68	68	79	60	61	70	68	82	35	70	69	65	43	49	63	0
3	Jason Cantrell		X			100.00	56	48	48	72	67	75	79	70	40	50	83	36	70	92	38	49	49	62	0
4	Brian Walsh		X			100.00	74	40	52	67	60	85	53	83	68	64	69	35	70	65	54	71	49	62	0
5	Jean-Sebastien Duplechin			X		100.00	34	15	99	62	79	72	46	65	20	51	56	66	70	72	99	46	49	60	0
6	Alex Lamonica	X				100.00	44	19	85	66	69	69	83	64	60	65	53	36	70	63	99	41	49	60	0
7	Derick McCamant		X			100.00	68	40	90	76	55	84	45	60	27	52	42	80	70	74	40	64	49	60	0
8	Spencer McKenzie	X				100.00	39	48	93	64	59	72	66	71	57	43	70	32	70	99	82	57	49	59	0
9	Kyle Bernhardt		X			100.00	48	25	77	64	64	73	77	61	54	58	60	28	70	91	91	60	49	59	0
10	Joel Peterson	X				100.00	40	40	65	76	58	77	67	67	45	50	74	37	70	89	33	56	49	59	0
11	Nelson Lattanzio		X			100.00	44	21	74	63	67	77	79	63	23	38	59	57	70	87	66	46	49	58	0
12	Kirby Ratliff			X		100.00	65	59	45	62	65	80	64	48	9	45	50	75	70	86	39	65	49	57	0
13	Tyler Leibel				X	100.00	36	40	87	74	59	86	86	58	71	50	72	57	70	83	56	57	49	62	0
14	Brent Kozak				X	100.00	66	32	73	62	76	59	69	55	50	42	24	60	24	85	97	28	49	61	0
15	Evan McGeough				X	100.00	44	4	99	69	79	60	69	41	42	30	51	66	50	96	64	54	49	60	0
16	Stephen Rahe				X	100.00	70	25	98	64	75	75	50	70	79	56	54	41	70	72	63	49	49	59	0
17	Kyle Newquist				X	100.00	47	41	80	71	58	73	79	35	17	38	44	72	70	79	35	65	49	59	0
18	Jay Marsland				X	100.00	38	21	75	68	67	68	64	51	48	37	49	62	70	90	62	38	49	58	0

	MOYENNE D'ÉQUIPE					99.72	47	27	79	69	70	74	69	67	48	58	67	54	67	89	73	44	50	64

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	Ashley Mayer	99.00	78	83	83	81	76	83	82	66	72	63	79	95	83	66	53	76	0
2	Tim Curnutte	100.00	91	79	87	73	80	77	74	63	76	60	83	41	83	58	52	72	0
Rayé
1	Jeffrey West	100.00	82	84	82	73	76	80	73	55	75	64	57	65	82	63	49	72	0
2	Elliot Bertin	100.00	93	90	74	66	74	77	45	73	62	60	70	93	93	45	49	71	0
3	Brian Jakubiak	100.00	88	76	81	71	77	77	77	56	60	65	64	76	77	60	49	71	0
4	Phil Lamirande	100.00	86	71	60	67	68	76	68	75	70	68	66	44	81	40	49	69	0

	MOYENNE D'ÉQUIPE	99.83	86	81	78	72	75	78	70	65	69	63	70	69	83	55	50	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Marty Williamson	81	72	64	73	77	92	58	CAN	54	1	265,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Craig Schaufelberge	Arlington Americans (Was)	LW	7	7	8	15	2	6	17	10	30	11	14	23.33%	5	168	24.05	3	1	4	6	20	1	0	1	2	20	2	0	63.79%	58	8	4	1	1.78	2	2	0
2	Sam Armentrout	Washington Americans	C	6	6	4	10	-1	2	5	17	23	11	23	26.09%	2	128	21.35	2	3	5	5	17	0	0	0	2	8	1	1	56.60%	159	3	2	1	1.56	2	1	0
3	Maxime Roy	Arlington Americans (Was)	LW	7	4	4	8	3	8	15	11	20	8	19	20.00%	3	150	21.46	1	1	2	3	16	0	2	2	1	20	2	0	66.67%	9	5	1	0	1.07	1	0	2
4	Olivier Mourrette	Arlington Americans (Was)	RW	7	0	6	6	0	2	5	4	15	3	12	0.00%	4	119	17.03	0	1	1	0	16	0	0	0	0	0	0	0	66.67%	6	5	2	0	1.01	0	0	0
5	Ray Heitmeyer	Washington Americans	D	6	1	5	6	0	4	14	6	10	4	10	10.00%	9	145	24.30	1	1	2	4	19	0	1	1	0	19	0	0	0.00%	0	1	4	0	0.82	0	0	0
6	Kevin Baggett	Washington Americans	RW	6	1	3	4	0	0	4	4	19	3	6	5.26%	0	117	19.61	0	2	2	2	17	0	0	0	0	0	0	0	68.75%	16	1	1	0	0.68	0	0	1
7	Merrill Bascombe	Arlington Americans (Was)	C	7	1	3	4	-1	12	13	9	11	2	6	9.09%	3	123	17.70	0	1	1	1	16	0	0	0	1	5	0	0	56.67%	90	3	3	0	0.65	0	0	1
8	Tim Kozatek	Arlington Americans (Was)	C	7	1	2	3	1	0	4	6	14	5	4	7.14%	2	104	14.89	0	0	0	0	1	0	0	0	0	4	0	0	53.19%	47	2	6	0	0.58	0	0	0
9	Luke Redican	Arlington Americans (Was)	LW	7	2	1	3	0	0	3	3	25	7	15	8.00%	4	108	15.47	0	0	0	0	0	0	0	0	1	7	0	0	25.00%	4	5	3	0	0.55	0	1	0
10	Kirk Tosten	Washington Americans	D	6	0	2	2	0	4	12	11	8	3	2	0.00%	9	147	24.62	0	0	0	3	19	0	1	1	2	21	0	0	0.00%	0	0	1	0	0.27	0	0	0
11	Reed Carlill	Arlington Americans (Was)	C	1	1	1	2	0	0	2	2	3	1	2	33.33%	1	20	20.63	0	0	0	0	3	0	0	0	0	0	0	0	25.00%	28	0	0	0	1.94	0	1	0
12	Todd Alves	Arlington Americans (Was)	RW	7	0	2	2	1	4	11	11	8	1	4	0.00%	5	95	13.71	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	1	2	0	0.42	0	0	0
13	Christian Hagy	Arlington Americans (Was)	LW	7	1	0	1	2	0	0	1	6	6	4	16.67%	1	57	8.18	0	0	0	0	0	1	0	1	3	15	0	0	66.67%	15	2	0	0	0.35	0	0	0
14	Ross Langella	Arlington Americans (Was)	D	7	0	1	1	2	0	5	10	2	3	3	0.00%	7	134	19.17	0	0	0	0	14	0	0	0	0	15	0	0	0.00%	0	0	5	0	0.15	0	0	0
15	Brian Hill	Arlington Americans (Was)	D	7	0	0	0	1	0	0	6	4	3	1	0.00%	3	73	10.45	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	4	0	0.00	0	0	0
16	Jesse Hagar	Arlington Americans (Was)	RW	1	0	0	0	1	0	2	2	1	0	1	0.00%	0	19	19.85	0	0	0	0	3	0	0	0	0	0	0	0	100.00%	1	0	0	0	0.00	0	0	0
17	Trevor Bosma	Arlington Americans (Was)	D	1	0	0	0	1	2	3	2	1	0	0	0.00%	0	23	23.43	0	0	0	0	3	0	0	0	0	1	0	0	0.00%	0	1	1	0	0.00	0	0	0
18	Nick Bisignano	Arlington Americans (Was)	D	7	0	0	0	2	0	4	4	8	1	1	0.00%	8	134	19.23	0	0	0	0	14	0	0	0	0	15	0	0	0.00%	0	0	7	0	0.00	0	0	0
19	Kurt Coyazo	Arlington Americans (Was)	D	1	0	0	0	1	0	0	2	2	0	0	0.00%	4	25	25.35	0	0	0	0	3	0	0	0	0	2	0	0	0.00%	0	1	1	0	0.00	0	0	0
20	Vaughn Rehagen	Arlington Americans (Was)	D	7	0	0	0	-1	0	7	0	1	0	1	0.00%	1	43	6.25	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
21	Seth Cihon	Arlington Americans (Was)	D	7	0	0	0	-1	0	0	0	2	2	3	0.00%	0	40	5.83	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0	0	0.00	0	0	0
22	Desmond Bergin	Arlington Americans (Was)	D	7	0	0	0	0	0	4	5	3	0	1	0.00%	3	76	10.91	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	3	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				126	25	42	67	13	44	130	126	216	74	132	11.57%	74	2058	16.34	7	10	17	24	190	2	4	6	12	163	5	1	56.19%	436	40	50	2	0.65	5	5	4

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	Ashley Mayer	Arlington Americans (Was)	7	5	2	0	0.923	2.44	418	0	0	17	221	110	2	0	0.000	0	7	0	0	1	1
Stats d'équipe Total ou en Moyenne			7	5	2	0	0.923	2.44	418	0	0	17	221	110	2	0	0.000	0	7	0	0	1	1

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	Disponible pour Échange	Ballotage Forcé	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3
Alex Lamonica	Arlington Americans (Was)	C	21	6/6/1996	No	199 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	254,451$
Ashley Mayer	Arlington Americans (Was)	D	20	11/21/1996	No	204 Lbs	6 ft6	No	No	No	2	Contrat d'Entrée	Pro & Farm	434,856$	434,856$
Brent Kozak	Arlington Americans (Was)	D	38	3/22/1979	No	209 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	525,000$
Brian Hill	Arlington Americans (Was)	D	35	6/17/1981	No	201 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	391,000$	391,000$	391,000$
Brian Jakubiak	Arlington Americans (Was)	D	22	2/11/1995	No	166 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	251,000$	251,000$	251,000$
Brian Walsh	Arlington Americans (Was)	LW	19	9/2/1997	No	196 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	276,293$	276,293$	276,293$
Christian Hagy	Arlington Americans (Was)	LW	22	7/5/1994	No	204 Lbs	6 ft7	No	No	No	3	Contrat d'Entrée	Pro & Farm	388,000$	388,000$	388,000$
Cory Ridgel	Arlington Americans (Was)	RW	22	5/6/1995	No	202 Lbs	6 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	286,150$
Craig Schaufelberge	Arlington Americans (Was)	LW	27	3/13/1990	No	237 Lbs	6 ft7	No	No	No	3	Avec Restriction	Pro & Farm	565,000$	565,000$	565,000$
Derick McCamant	Arlington Americans (Was)	LW	19	2/25/1998	No	173 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	245,016$	245,016$	245,016$
Desmond Bergin	Arlington Americans (Was)	D	24	2/6/1993	No	190 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	268,301$	268,301$	268,301$
Elliot Bertin	Arlington Americans (Was)	D	25	1/28/1992	No	148 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	250,000$
Evan McGeough	Arlington Americans (Was)	D	24	10/29/1992	No	207 Lbs	6 ft8	No	No	No	3	Avec Restriction	Pro & Farm	259,000$	259,000$	259,000$
Jason Cantrell	Arlington Americans (Was)	LW	21	5/7/1996	No	195 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	240,262$
Jay Marsland	Arlington Americans (Was)	D	22	7/3/1994	No	196 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	242,000$	242,000$	242,000$
Jean-Sebastien Duplechin	Arlington Americans (Was)	RW	22	12/20/1994	No	230 Lbs	6 ft9	No	No	No	1	Contrat d'Entrée	Pro & Farm	313,782$
Jeffrey West	Arlington Americans (Was)	C	23	5/2/1994	No	178 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	237,833$	237,833$
Jesse Hagar	Arlington Americans (Was)	RW	28	1/6/1989	No	208 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	445,000$	445,000$	445,000$
Joel Peterson	Arlington Americans (Was)	C	19	9/15/1997	No	177 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	236,938$	236,938$	236,938$
Kirby Ratliff	Arlington Americans (Was)	RW	21	12/31/1995	No	208 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	232,383$	232,383$
Kurt Coyazo	Arlington Americans (Was)	D	22	2/22/1995	No	182 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	448,000$	448,000$	448,000$
Kyle Bernhardt	Arlington Americans (Was)	LW	20	2/6/1997	No	208 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	220,136$	220,136$
Kyle Newquist	Arlington Americans (Was)	D	19	10/31/1997	No	183 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	231,015$	231,015$	231,015$
Lawton Grambo	Arlington Americans (Was)	C	20	3/7/1997	No	201 Lbs	6 ft3	No	No	No	2	Contrat d'Entrée	Pro & Farm	273,941$	273,941$
Luke Redican	Arlington Americans (Was)	LW	26	7/27/1990	No	196 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	426,000$	426,000$	426,000$
Maxime Roy	Arlington Americans (Was)	LW	19	10/29/1997	No	187 Lbs	6 ft0	No	No	No	3	Contrat d'Entrée	Pro & Farm	548,077$	548,077$	548,077$
Merrill Bascombe	Arlington Americans (Was)	C	23	4/13/1994	No	181 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	333,333$	333,333$
Nelson Lattanzio	Arlington Americans (Was)	LW	20	10/17/1996	No	212 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	225,781$	225,781$
Nick Bisignano	Arlington Americans (Was)	D	24	10/16/1992	No	193 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	400,000$	400,000$
Olivier Mourrette	Arlington Americans (Was)	RW	19	5/20/1998	No	179 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	417,452$	417,452$	417,452$
Phil Lamirande	Arlington Americans (Was)	LW	23	9/26/1993	No	160 Lbs	5 ft8	No	No	No	1	Avec Restriction	Pro & Farm	212,500$
Reed Carlill	Arlington Americans (Was)	C	24	8/4/1992	No	192 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	464,000$	464,000$	464,000$
Ross Langella	Arlington Americans (Was)	D	22	4/21/1995	No	187 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	414,000$	414,000$	414,000$
Seth Cihon	Arlington Americans (Was)	D	22	7/23/1994	No	188 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	236,516$
Spencer McKenzie	Arlington Americans (Was)	C	21	12/3/1995	No	234 Lbs	6 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	246,000$	246,000$	246,000$
Stephen Rahe	Arlington Americans (Was)	D	22	2/5/1995	No	212 Lbs	6 ft5	No	No	No	3	Contrat d'Entrée	Pro & Farm	247,000$	247,000$	247,000$
Tim Curnutte	Arlington Americans (Was)	D	21	3/23/1996	No	166 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	255,498$
Tim Kozatek	Arlington Americans (Was)	C	30	4/18/1987	No	253 Lbs	6 ft6	No	No	No	1	Sans Restriction	Pro & Farm	525,000$
Todd Alves	Arlington Americans (Was)	RW	20	7/20/1996	No	186 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	336,262$	336,262$
Trevor Bosma	Arlington Americans (Was)	D	25	3/7/1992	No	162 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	389,125$
Tyler Leibel	Arlington Americans (Was)	D	20	2/26/1997	No	182 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	245,504$	245,504$	245,504$
Vaughn Rehagen	Arlington Americans (Was)	D	20	12/9/1996	No	186 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	243,646$	243,646$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
42	22.76	194 Lbs	6 ft3	2.24	325,739$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Craig Schaufelberge	Reed Carlill	Jesse Hagar	40	1	2	2
2	Maxime Roy	Merrill Bascombe	Olivier Mourrette	30	1	2	2
3	Luke Redican	Tim Kozatek	Todd Alves	20	1	2	2
4	Christian Hagy	Craig Schaufelberge	Maxime Roy	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurt Coyazo	Trevor Bosma	40	1	2	2
2	Nick Bisignano	Ross Langella	30	1	2	2
3	Brian Hill	Desmond Bergin	20	1	2	2
4	Vaughn Rehagen	Seth Cihon	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Craig Schaufelberge	Reed Carlill	Jesse Hagar	60	1	2	2
2	Maxime Roy	Merrill Bascombe	Olivier Mourrette	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurt Coyazo	Trevor Bosma	60	1	2	2
2	Nick Bisignano	Ross Langella	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Craig Schaufelberge	Maxime Roy	60	1	2	2
2	Reed Carlill	Merrill Bascombe	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurt Coyazo	Trevor Bosma	60	1	2	2
2	Nick Bisignano	Ross Langella	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Craig Schaufelberge	60	1	2	2	Kurt Coyazo	Trevor Bosma	60	1	2	2
2	Maxime Roy	40	1	2	2	Nick Bisignano	Ross Langella	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Craig Schaufelberge	Maxime Roy	60	1	2	2
2	Reed Carlill	Merrill Bascombe	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kurt Coyazo	Trevor Bosma	60	1	2	2
2	Nick Bisignano	Ross Langella	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Craig Schaufelberge	Reed Carlill	Jesse Hagar	Kurt Coyazo	Trevor Bosma

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Craig Schaufelberge	Reed Carlill	Jesse Hagar	Kurt Coyazo	Trevor Bosma

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Luke Redican, Tim Kozatek, Christian Hagy	Luke Redican, Tim Kozatek	Christian Hagy

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brian Hill, Desmond Bergin, Vaughn Rehagen	Brian Hill	Desmond Bergin, Vaughn Rehagen

Tirs de Pénalité
Craig Schaufelberge, Maxime Roy, Reed Carlill, Merrill Bascombe, Jesse Hagar

Gardien
#1 : Ashley Mayer, #2 : Tim Curnutte

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Charlottesville Robins	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	9	14	0	0	11	8	6	0	58	82	66	68	0	75	19	14	36	3	0	0.00%	7	0	100.00%	1	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
2	Columbia Tigers	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	11	17	0	0	11	8	6	0	34	82	66	68	0	39	14	6	21	5	1	20.00%	3	0	100.00%	0	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
3	Harrisburg Rockets	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	11	8	6	0	32	82	66	68	0	21	6	4	23	2	0	0.00%	2	0	100.00%	1	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
4	Reading Patriots	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	13	22	0	0	11	8	6	0	62	82	66	68	0	66	22	14	39	13	5	38.46%	7	2	71.43%	0	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
	Since Last GM Reset	7	5	2	0	0	0	0	0	25	17	8	4	3	1	0	0	0	0	0	13	9	4	3	2	1	0	0	0	0	0	12	8	4	10	0.714	25	42	67	0	0	11	8	6	0	216	82	66	68	0	221	74	44	130	25	7	28.00%	22	2	90.91%	2	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
	Total	7	5	2	0	0	0	0	0	25	17	8	4	3	1	0	0	0	0	0	13	9	4	3	2	1	0	0	0	0	0	12	8	4	10	0.714	25	42	67	0	0	11	8	6	0	216	82	66	68	0	221	74	44	130	25	7	28.00%	22	2	90.91%	2	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
	Vs Conference	6	4	2	0	0	0	0	0	21	15	6	3	2	1	0	0	0	0	0	9	7	2	3	2	1	0	0	0	0	0	12	8	4	8	0.667	21	35	56	0	0	11	8	6	0	186	82	66	68	0	201	61	38	119	23	6	26.09%	19	2	89.47%	2	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
	Vs Division	6	4	2	0	0	0	0	0	21	15	6	3	2	1	0	0	0	0	0	9	7	2	3	2	1	0	0	0	0	0	12	8	4	8	0.667	21	35	56	0	0	11	8	6	0	186	82	66	68	0	201	61	38	119	23	6	26.09%	19	2	89.47%	2	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
9	Watertown Bulls	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	11	8	6	0	30	82	66	68	0	20	13	6	11	2	1	50.00%	3	0	100.00%	0	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71

			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
7	10	W2	25	42	67	216	221	74	44	130	0	0

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
7	5	2	0	0	0	25	17

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
4	3	1	0	0	0	13	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
3	2	1	0	0	0	12	8

Derniers 10 Matchs
W	L	OTW	OTL	T
5	2	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
25	7	28.00%	22	2	90.91%	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
82	66	68	0	11	8	6	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
103	179	57.54%	89	161	55.28%	53	96	55.21%

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
141	71	140	65	138	71

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	Lien
1 - 2017-12-09	6	Reading Patriots	3	Arlington Americans	4	W	Sommaire du Match
4 - 2017-12-12	15	Arlington Americans	6	Columbia Tigers	3	W	Sommaire du Match
7 - 2017-12-15	32	Arlington Americans	1	Charlottesville Robins	2	L	Sommaire du Match
9 - 2017-12-17	47	Watertown Bulls	2	Arlington Americans	4	W	Sommaire du Match
11 - 2017-12-19	58	Harrisburg Rockets	2	Arlington Americans	1	L	Sommaire du Match
13 - 2017-12-21	67	Arlington Americans	5	Reading Patriots	3	W	Sommaire du Match
17 - 2017-12-25	88	Charlottesville Robins	2	Arlington Americans	4	W	Sommaire du Match
19 - 2017-12-27	100	Arlington Americans	-	Harrisburg Rockets	-
22 - 2017-12-30	121	Williamsburg Dragons	-	Arlington Americans	-
24 - 2018-01-01	134	Arlington Americans	-	Williamsburg Dragons	-
25 - 2018-01-02	138	Arlington Americans	-	Virginia Beach Mariners	-
30 - 2018-01-07	155	Charlesbourg Cavaliers	-	Arlington Americans	-
32 - 2018-01-09	167	Arlington Americans	-	Virginia Beach Mariners	-
34 - 2018-01-11	179	Arlington Americans	-	Harrisburg Rockets	-
35 - 2018-01-12	187	Columbia Tigers	-	Arlington Americans	-
38 - 2018-01-15	204	Watertown Bulls	-	Arlington Americans	-
40 - 2018-01-17	219	Arlington Americans	-	Dayton Clippers	-
42 - 2018-01-19	230	Arlington Americans	-	Beverly Jr. Eagles	-
44 - 2018-01-21	238	Montpelier Cougars	-	Arlington Americans	-
47 - 2018-01-24	257	Charlottesville Robins	-	Arlington Americans	-
49 - 2018-01-26	272	Arlington Americans	-	Johnstown Yellow Jackets	-
51 - 2018-01-28	283	Arlington Americans	-	Charlottesville Robins	-
53 - 2018-01-30	294	Johnstown Yellow Jackets	-	Arlington Americans	-
55 - 2018-02-01	305	Arlington Americans	-	Canadaigua Lakers	-
58 - 2018-02-04	317	Arlington Americans	-	Niagara Falls Wings	-
59 - 2018-02-05	323	Columbia Tigers	-	Arlington Americans	-
63 - 2018-02-09	346	Cape Breton Kings	-	Arlington Americans	-
65 - 2018-02-11	360	Arlington Americans	-	Longueuil Voyageurs	-
68 - 2018-02-14	374	Scarborough Royals	-	Arlington Americans	-
70 - 2018-02-16	388	Arlington Americans	-	Bowling Green Red Devils	-
74 - 2018-02-20	400	Elmira Roadrunners	-	Arlington Americans	-
76 - 2018-02-22	414	Arlington Americans	-	Augusta Wolves	-
78 - 2018-02-24	423	Arlington Americans	-	Amherst Winterhawks	-
79 - 2018-02-25	430	Bowling Green Red Devils	-	Arlington Americans	-
83 - 2018-03-01	454	Canadaigua Lakers	-	Arlington Americans	-
85 - 2018-03-03	464	Arlington Americans	-	Columbia Tigers	-
87 - 2018-03-05	478	Reading Patriots	-	Arlington Americans	-
89 - 2018-03-07	485	Arlington Americans	-	Reading Patriots	-
92 - 2018-03-10	505	Montpelier Cougars	-	Arlington Americans	-
94 - 2018-03-12	513	Arlington Americans	-	Lafayette Racers	-
98 - 2018-03-16	533	Lafayette Racers	-	Arlington Americans	-
100 - 2018-03-18	546	Arlington Americans	-	Scarborough Royals	-
103 - 2018-03-21	562	Williamsburg Dragons	-	Arlington Americans	-
105 - 2018-03-23	569	Arlington Americans	-	Lowell Plainsmen	-
106 - 2018-03-24	578	Arlington Americans	-	Troy Indians	-
108 - 2018-03-26	592	Dayton Clippers	-	Arlington Americans	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
114 - 2018-04-01	616	Niagara Falls Wings	-	Arlington Americans	-
116 - 2018-04-03	625	Arlington Americans	-	Pawtucket Reds	-
119 - 2018-04-06	644	Harrisburg Rockets	-	Arlington Americans	-
124 - 2018-04-11	668	Napean Spartans	-	Arlington Americans	-
126 - 2018-04-13	679	Arlington Americans	-	Williamsburg Dragons	-
128 - 2018-04-15	693	Virginia Beach Mariners	-	Arlington Americans	-
130 - 2018-04-17	702	Arlington Americans	-	Pawtucket Reds	-
134 - 2018-04-21	723	Virginia Beach Mariners	-	Arlington Americans	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
23	0 - 0.00%	0$	0$	3000	110

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
3,420,262$	3,420,262$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
422,305$	24,965$	422,305$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	120	24,965$	2,995,800$

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
07-08	80	42	26	7	1	4	0	0	300	262	38	40	22	10	4	1	3	0	0	156	129	27	40	20	16	3	0	1	0	0	144	133	11	91	300	501	801	0	1	79	119	101	1	2489	769	819	887	14	2469	844	851	1543	248	72	29.03%	206	36	82.52%	10	858	1728	49.65%	844	1752	48.17%	633	1306	48.47%	1507	686	1572	823	1768	889
08-09	80	33	32	6	8	1	0	0	263	271	-8	40	16	16	4	3	1	0	0	118	120	-2	40	17	16	2	5	0	0	0	145	151	-6	72	263	418	681	0	0	56	95	104	8	2374	687	794	843	50	2366	813	709	1634	206	44	21.36%	237	49	79.32%	7	874	1751	49.91%	883	1653	53.42%	704	1258	55.96%	1539	708	3687	1955	1777	888
09-10	80	41	28	4	3	4	0	0	246	232	14	40	24	12	1	1	2	0	0	130	107	23	40	17	16	3	2	2	0	0	116	125	-9	86	246	400	646	0	4	59	89	95	3	2168	626	763	762	17	2333	766	859	1421	225	55	24.44%	238	42	82.35%	7	811	1577	51.43%	936	1768	52.94%	617	1237	49.88%	1511	675	5507	2941	1820	935
10-11	80	34	30	4	5	7	0	0	255	266	-11	40	16	17	2	2	3	0	0	131	140	-9	40	18	13	2	3	4	0	0	124	126	-2	72	255	423	678	4	5	70	99	81	5	2345	732	802	784	27	2369	789	440	1556	205	41	20.00%	174	43	75.29%	4	942	1723	54.67%	855	1691	50.56%	607	1136	53.43%	1565	747	1535	809	1747	879
11-12	80	35	28	8	5	4	0	0	284	265	19	40	19	13	1	3	4	0	0	136	125	11	40	16	15	7	2	0	0	0	148	140	8	78	284	466	750	1	3	83	96	100	5	2485	861	795	811	18	2394	835	347	1445	197	45	22.84%	169	28	83.43%	7	975	1776	54.90%	944	1729	54.60%	594	1113	53.37%	1594	769	1533	795	1725	886
12-13	80	30	32	9	4	5	0	0	322	308	14	40	18	13	4	2	3	0	0	173	145	28	40	12	19	5	2	2	0	0	149	163	-14	69	322	512	834	2	0	116	111	91	4	2736	961	950	793	32	2647	919	581	1566	220	44	20.00%	253	59	76.68%	10	1016	1966	51.68%	1015	1894	53.59%	713	1278	55.79%	1624	816	1577	793	1657	839
13-14	80	30	26	9	5	10	0	0	306	294	12	40	14	15	5	2	4	0	0	147	148	-1	40	16	11	4	3	6	0	0	159	146	13	69	306	494	800	2	0	122	81	98	5	2612	1023	749	802	38	2833	973	422	1462	186	40	21.51%	208	41	80.29%	3	912	1851	49.27%	920	1964	46.84%	575	1255	45.82%	1554	754	1638	789	1679	861
14-15	80	35	31	9	3	2	0	0	327	320	7	40	18	14	5	2	1	0	0	164	146	18	40	17	17	4	1	1	0	0	163	174	-11	79	327	535	862	2	1	120	112	92	3	3171	1219	1036	893	23	3090	990	426	1660	192	38	19.79%	188	39	79.26%	6	1095	2099	52.17%	1069	2055	52.02%	763	1357	56.23%	1687	941	1660	738	1508	750
15-16	80	32	33	7	6	2	0	0	346	356	-10	40	16	15	5	3	1	0	0	181	178	3	40	16	18	2	3	1	0	0	165	178	-13	71	346	564	910	2	0	127	108	105	6	3117	1213	970	903	31	3090	1068	439	1631	217	54	24.88%	198	51	74.24%	5	965	2037	47.37%	934	1984	47.08%	651	1384	47.04%	1640	885	1668	752	1542	776
16-17	80	41	30	5	2	2	0	0	301	252	49	40	21	15	1	1	2	0	0	148	121	27	40	20	15	4	1	0	0	0	153	131	22	87	301	504	805	0	3	97	110	92	2	2783	1015	930	817	21	2614	898	388	1544	238	62	26.05%	176	46	73.86%	2	1046	2002	52.25%	968	1899	50.97%	677	1251	54.12%	1668	907	1624	747	1542	787
1001	7	5	2	0	0	0	0	0	25	17	8	4	3	1	0	0	0	0	0	13	9	4	3	2	1	0	0	0	0	0	12	8	4	10	25	42	67	0	0	11	8	6	0	216	82	66	68	0	221	74	44	130	25	7	28.00%	22	2	90.91%	2	103	179	57.54%	89	161	55.28%	53	96	55.21%	141	71	140	65	138	71
Total Saison Régulière	807	358	298	68	42	41	0	0	2975	2843	132	404	187	141	32	20	24	0	0	1497	1368	129	403	171	157	36	22	17	0	0	1478	1475	3	784	2975	4859	7834	13	17	940	1028	965	42	26496	9188	8674	8363	271	26426	8969	5506	15592	2159	502	23.25%	2069	436	78.93%	63	9597	18689	51.35%	9457	18550	50.98%	6587	12671	51.98%	16036	7964	22144	11211	16908	8568