Devils
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Martin
	Entraîneur	Andrew Brunette
	Division	Pacific Division
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	8,000
	Assistance
	Billets de saison	800
Informations de la formation
	Équipe Pro	38
	Équipe Mineure	21
	Limite contact	59 / 65
	Espoirs	18

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	Âge	Contrat	Salaire
1	Nolan Foote		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	61	0	83	0	0	24	1	1,575,000$
2	Nathan Legare		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	53	61	0	77	0	0	23	1	1,312,500$
3	Francesco Arcuri	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	72	0	0	21	1	700,000$
4	Carter Savoie		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	43	58	0	20	0	0	22	1	975,000$
5	Jagger Firkus		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	47	56	0	79	0	0	20	2	1,500,000$
6	James Malatesta		X	X		100.00	73	60	81	66	71	77	91	65	61	65	65	73	65	41	56	0	99	0	0	21	2	825,000$
7	Fraser Minten	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	83	0	0	20	2	1,250,000$
8	Tucker Robertson	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	77	0	0	21	2	825,000$
9	William Smith (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	19	3	1,500,000$
10	Emmitt Finnie (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	19	3	650,000$
11	Florian Xhekaj (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	20	3	975,000$
12	Cale Fleury				X	100.00	73	50	92	71	77	80	91	63	25	65	61	72	65	59	63	0	96	0	0	26	1	1,128,685$
13	Nick DeSimone				X	100.00	68	50	94	80	71	80	83	73	25	67	68	72	65	62	68	0	96	0	0	30	1	650,000$
14	Callan Foote				X	100.00	60	50	88	68	85	81	78	63	25	64	62	73	65	57	64	0	99	0	0	26	1	1,100,000$
15	Shakir Mukhamadullin				X	100.00	64	50	91	73	69	88	88	65	25	67	62	73	65	43	58	0	99	0	0	22	1	1,500,000$
16	Corson Ceulemans				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	20	0	0	21	2	1,500,000$
17	Hunter Brzustewicz (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	20	3	975,000$
18	Dyllan Gill (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	1	0	1	20	3	650,000$
Rayé
1	Johnny Gruden	X				100.00	71	58	86	69	66	75	89	67	61	66	67	73	65	51	63	0	99	0	0	24	2	1,074,938$
2	Jack Dugan		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	51	61	0	50	0	0	26	1	909,563$
3	Alexandre Doucet	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	49	56	0	85	0	0	22	1	735,000$
4	Graeme Clarke		X	X		100.00	66	50	91	71	67	78	92	65	61	65	65	69	65	52	58	0	99	0	0	23	2	1,023,750$
5	Jaydon Dureau		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	43	58	0	20	0	0	23	1	750,000$
6	Waltteri Merela	X				100.00	64	50	93	70	80	76	93	69	61	69	69	73	65	41	56	0	99	0	0	26	1	787,500$
7	Matthew Sop		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	20	0	0	21	2	650,000$
8	Gabriel Szturc	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	27	0	0	21	2	850,000$
9	Israel Mianscum	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	2	2	0	11	0	0	21	2	650,000$
10	Hunter Drew				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	61	0	86	0	0	26	1	716,625$
11	John Prokop				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	80	0	0	23	2	650,000$
12	Ben Dexheimer				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	77	0	0	22	2	650,000$
13	Hudson Thornton				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	85	0	0	21	2	650,000$
14	Mikael Diotte				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	41	56	0	26	0	0	21	2	700,000$

	MOYENNE D’ÉQUIPE					100.00	58	54	64	59	60	61	63	58	52	58	57	59	58	38	48	0	58	0

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	Âge	Contrat	Salaire
1	Yaniv Perets	100.00	55	55	55	55	55	55	55	55	55	55	55	49	60	0	78	0	0	24	2	682,500$
2	Devon Levi	100.00	70	78	74	78	83	71	75	72	78	69	73	44	57	0	94	0	0	23	1	700,000$
Rayé
1	Clay Stevenson	100.00	55	55	55	55	55	55	55	55	55	55	55	47	60	0	84	0	0	25	2	735,000$
2	Carter Gylander	100.00	55	55	55	55	55	55	55	55	55	55	55	41	56	0	62	0	0	23	1	650,000$
3	Vinny Duplessis	100.00	55	55	55	55	55	55	55	55	55	55	55	41	56	0	62	0	1	25	1	650,000$
4	Connor Ungar	100.00	55	55	55	55	55	55	55	55	55	55	55	2	2	0	11	0	0	22	1	850,000$

	MOYENNE D’ÉQUIPE	100.00	58	59	58	59	60	58	58	58	59	57	58	37	49	0	65	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andrew Brunette	88	82	85	87	67	71	1	CAN	51	1	600,000$

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	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Alexandre Doucet	Mountaineers (NJD)	C/LW/RW	22	2002-01-12	CAN	No	187 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	735,000$	735,000$	73,500$	73,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ben Dexheimer	Mountaineers (NJD)	D	22	2002-06-21	USA	No	165 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Cale Fleury	Mountaineers (NJD)	D	26	1998-11-19	CAN	No	204 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	1,128,685$	1,128,685$	112,868$	112,868$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Callan Foote (contrat à 1 volet)	Mountaineers (NJD)	D	26	1998-12-13	USA	No	224 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	1,100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carter Gylander	Mountaineers (NJD)	G	23	2001-06-05	CAN	No	195 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carter Savoie	Mountaineers (NJD)	LW/RW	22	2002-01-23	CAN	No	192 Lbs	5 ft9	No	No	N/A	No	No	1	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Clay Stevenson	Mountaineers (NJD)	G	25	1999-03-03	CAN	No	194 Lbs	6 ft4	No	No	N/A	No	No	2	False	False	Pro & Farm	735,000$	735,000$	73,500$	73,500$	No	735,000$	-	-	-	-	-	-	-	-	735,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Connor Ungar	Mountaineers (NJD)	G	22	2002-01-12	CAN	No	196 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	850,000$	850,000$	85,000$	85,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Corson Ceulemans	Mountaineers (NJD)	D	21	2003-05-05	CAN	No	188 Lbs	7 ft6	No	No	N/A	No	No	2	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Devon Levi	Mountaineers (NJD)	G	23	2001-12-27	CAN	No	192 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dyllan Gill	Mountaineers (NJD)	D	20	2004-06-07	CAN	Yes	190 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Emmitt Finnie	Mountaineers (NJD)	C/LW/RW	19	2005-06-27	CAN	Yes	183 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Florian Xhekaj	Mountaineers (NJD)	LW/RW	20	2004-06-27	CAN	Yes	190 Lbs	6 ft4	No	No	N/A	No	No	3	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Francesco Arcuri	Mountaineers (NJD)	C	21	2003-06-13	CAN	No	201 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Fraser Minten	Mountaineers (NJD)	C	20	2004-07-05	CAN	No	188 Lbs	7 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Gabriel Szturc	Mountaineers (NJD)	C	21	2003-09-24	CZE	No	176 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro & Farm	850,000$	850,000$	85,000$	85,000$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Graeme Clarke	Mountaineers (NJD)	LW/RW	23	2001-04-24	USA	No	175 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	1,023,750$	-	-	-	-	-	-	-	-	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hudson Thornton	Mountaineers (NJD)	D	21	2003-11-04	CAN	No	192 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hunter Brzustewicz	Mountaineers (NJD)	D	20	2004-11-29	USA	Yes	190 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Hunter Drew	Mountaineers (NJD)	D	26	1998-10-21	CAN	No	191 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	716,625$	716,625$	71,662$	71,662$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Israel Mianscum	Mountaineers (NJD)	C/LW/RW	21	2003-04-18	CAN	No	198 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jack Dugan	Mountaineers (NJD)	LW/RW	26	1998-03-24	USA	No	185 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	909,563$	909,563$	90,956$	90,956$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jagger Firkus	Mountaineers (NJD)	LW/RW	20	2004-04-29	CAN	No	154 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
James Malatesta	Mountaineers (NJD)	LW/RW	21	2003-05-31	CAN	No	191 Lbs	5 ft9	No	No	N/A	No	No	2	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jaydon Dureau	Mountaineers (NJD)	LW/RW	23	2001-01-20	CAN	No	174 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
John Prokop	Mountaineers (NJD)	D	23	2001-05-13	USA	No	185 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Johnny Gruden	Mountaineers (NJD)	C	24	2000-05-04	USA	No	172 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	1,074,938$	1,074,938$	107,494$	107,494$	No	1,074,938$	-	-	-	-	-	-	-	-	1,074,938$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Matthew Sop	Mountaineers (NJD)	LW/RW	21	2003-02-04	CAN	No	183 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mikael Diotte	Mountaineers (NJD)	D	21	2003-04-10	CAN	No	205 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nathan Legare	Mountaineers (NJD)	LW/RW	23	2001-01-11	CAN	No	205 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nick DeSimone	Mountaineers (NJD)	D	30	1994-11-21	USA	No	185 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nolan Foote	Mountaineers (NJD)	LW/RW	24	2000-11-29	USA	No	196 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	1,575,000$	1,575,000$	157,500$	157,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Shakir Mukhamadullin	Mountaineers (NJD)	D	22	2002-01-10	RUS	No	178 Lbs	6 ft4	No	No	N/A	No	No	1	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tucker Robertson	Mountaineers (NJD)	C	21	2003-06-22	CAN	No	178 Lbs	7 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Vinny Duplessis	Mountaineers (NJD)	G	25	1999-03-19	CAN	No	170 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Waltteri Merela	Mountaineers (NJD)	C	26	1998-07-06	FIN	No	210 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	787,500$	787,500$	78,750$	78,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
William Smith	Mountaineers (NJD)	C	19	2005-03-17	USA	Yes	181 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Yaniv Perets	Mountaineers (NJD)	G	24	2000-03-04	CAN	No	181 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	682,500$	-	-	-	-	-	-	-	-	682,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
38	22.55	188 Lbs	6 ft2	1.68	912,002$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1				28	1	2	2
2				28	1	2	2
3				25	1	2	2
4				19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			28	1	2	2
2			28	1	2	2
3			25	1	2	2
4			19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1				50	1	2	2
2				50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		50	1	2	2			50	1	2	2
2		50	1	2	2			50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,	,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,		,

Tirs de pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
0	0	0%	0	0	0%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	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
0	0	0%	0	0	0%	0	0	0%

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
0	0	0	0	0	0

Derniers matchs joués 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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2500	5500
Prix des billets	34	14
Assistance	0%	0%
Assistance PCT	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	8000	110

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs
0$	3,355,605$	3,355,605$	600,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	37	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Mountaineers Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Mountaineers Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Mountaineers Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											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

Mountaineers Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Mountaineers Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Mountaineers
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Martin \| Morale : 99 \| Moyenne d’équipe : N/A