Ligue Canadienne de Hockey Simulé

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

Centre de jeu
	Ducks 14-6-0, 28pts	2	FINAL	5	Devils 16-5-0, 32pts

Team Stats
L3	Streak	W3
7-3-0	Home Record	9-2-0
7-3-0	Away Record	7-3-0
6-4-0	Last 10 Games	6-2-2
3.80	Goals Per Game	3.33
2.85	Goals Against Per Game	2.52
22.54%	Power Play Percentage	20.78%
90.38%	Penalty Kill Percentage	84.93%

Devils
16-5-0, 32pts

FINAL

Ducks
14-6-0, 28pts

Team Stats
W3	Streak	L3
9-2-0	Home Record	7-3-0
7-3-0	Away Record	7-3-0
6-2-2	Last 10 Games	6-4-0
3.33	Goals Per Game	3.80
2.52	Goals Against Per Game	2.85
20.78%	Power Play Percentage	22.54%
84.93%	Penalty Kill Percentage	90.38%

Meneurs d'équipe




	Victoires Linus Ullmark 16	Pourcentage d’arrêts Linus Ullmark 0.922

Statistiques d’équipe
Buts pour 70 3.33 GFG	Tirs pour 696 33.14 Avg	Pourcentage en avantage numérique 20.8% 16 GF	Début de zone offensive 39.4%
Buts contre 53 2.52 GAA	Tirs contre 677 32.24 Avg	Pourcentage en désavantage numérique 84.9% 11 GA	Début de la zone défensive 39.3%

Information d’équipe
	Directeur général	Frédéric Ferland Bolduc
	Entraîneur	Craig Hartsburg
	Division	Métropolitaine
	Conférence	Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	3,000
	Billets de saison	2,400
Information formation
	Équipe Pro	27
	Équipe Mineure	19
	Limite contact	46 / 60
	Espoirs	36

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Alex DeBrincat (R)		X			100.00	60	38	79	81	65	88	95	99	65	92	93	72	81	60	60	72	90	79	0	23	1	894,167$
2	Josh Anderson (R)			X		100.00	86	41	68	73	83	87	95	80	60	77	81	85	60	74	54	59	89	75	0	27	2	2,000,000$
3	Jake Virtanen (R)			X		100.00	84	45	73	76	83	81	85	78	54	87	78	74	76	67	70	86	88	75	0	24	2	1,500,000$
4	Pavel Buchnevich (R)		X			100.00	73	45	86	74	83	81	84	83	52	81	77	78	76	69	66	63	89	74	0	26	3	1,000,000$
5	Jason Dickinson (R)	X				100.00	81	43	88	67	80	77	84	73	78	74	65	90	67	69	66	76	91	72	0	25	2	700,000$
6	Nicklas Jensen (R)			X		100.00	27	24	99	63	79	52	71	94	39	79	78	79	63	79	85	57	83	71	0	28	2	700,000$
7	Miles Wood (R)		X			100.00	81	52	64	73	79	82	84	75	53	75	71	74	70	69	65	59	89	71	0	25	3	700,000$
8	Robert Thomas (R)	X				100.00	53	39	88	73	74	83	81	79	80	83	67	70	72	61	64	82	90	70	0	21	2	1,208,330$
9	Andrew Mangiapane (R)		X			100.00	73	38	87	68	67	78	85	74	54	71	74	69	69	67	66	48	90	69	0	25	2	750,000$
10	Kevin Porter (R)	X				100.00	57	31	82	67	74	51	73	79	52	70	68	77	55	85	79	40	84	68	0	35	2	575,000$
11	Tom Pyatt	X				100.00	59	37	86	71	72	70	95	66	59	66	60	81	66	82	75	41	89	68	0	34	3	575,000$
12	Jordan Nolan (R)			X		100.00	63	35	59	69	82	63	77	74	69	67	64	69	64	70	59	35	89	66	0	32	2	575,000$
13	Dalton Prout (R)				X	100.00	69	35	75	60	81	71	80	93	25	65	60	94	53	85	91	39	89	75	0	31	3	1,250,000$
14	Jonathon Blum (R)				X	100.00	99	95	68	66	75	68	75	96	49	76	64	76	55	89	91	49	84	74	0	32	2	1,250,000$
15	Robert Bortuzzo (R)				X	100.00	82	49	73	61	90	77	78	66	30	74	60	91	50	79	72	53	90	73	0	32	2	1,000,000$
16	Troy Stecher (R)				X	100.00	74	39	81	67	68	83	88	73	30	80	64	83	55	72	66	42	89	72	0	27	3	800,000$
17	Mike Reilly (R)				X	100.00	68	39	83	66	77	84	78	71	30	79	60	70	50	73	68	53	90	69	0	27	2	600,000$
18	Carl Dahlstrom (R)				X	100.00	57	45	83	59	93	82	71	65	30	69	53	76	46	69	65	66	89	67	0	26	1	925,000$
Rayé
1	Ryan Lomberg (R)		X			100.00	51	42	84	63	67	72	71	69	54	66	69	65	63	71	66	59	25	64	0	26	3	725,000$
2	Jaret Anderson-Dolan (R)	X				100.00	58	43	89	65	70	76	74	70	70	67	61	66	59	61	62	74	26	63	0	21	2	745,000$
3	Patrick Russell (R)			X		100.00	68	39	82	55	78	69	66	53	51	54	50	62	55	73	67	38	24	57	0	28	2	575,000$
4	Aaron Ness (R)				X	100.00	56	42	88	64	67	82	77	66	30	68	60	71	54	78	68	57	25	66	0	31	3	575,000$
5	Erik Brannstrom (R)				X	100.00	56	43	84	68	66	83	77	73	30	69	61	68	52	61	63	84	25	65	0	21	2	1,375,000$

	MOYENNE D’ÉQUIPE					100.00	67	43	80	67	76	76	80	76	50	73	67	76	61	72	69	58	75	70

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Linus Ullmark (R)	100.00	91	95	93	92	92	93	95	94	93	91	87	73	77	58	90	89	0
2	Jon Gillies (R)	100.00	77	75	79	90	83	81	84	84	84	75	51	75	67	60	89	79	0
Rayé
1	Gilles Senn (R)	100.00	79	80	78	91	80	79	81	80	79	79	75	67	71	56	25	78	0
2	Oscar Dansk (R)	100.00	79	70	68	85	80	79	81	80	79	79	75	71	75	74	25	76	0

	MOYENNE D’ÉQUIPE	100.00	82	80	80	90	84	83	85	85	84	81	72	72	73	62	57	81

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Hartsburg	72	75	69	74	99	75	71	CAN	61	2	500,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	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	FW	FL	FT	S1	S2	S3
1	Alex DeBrincat	Devils (NJ )	LW	21	11	11	22	-1	10	0	48	42	85	22	53	12.94%	9	429	20.45	8	3	11	21	67	0	0	0	1	62	4	0	47.86%	117	22	6	0	0	1.02	0	0	0	2	4	1
2	Pavel Buchnevich	Devils (NJ )	LW	21	11	9	20	5	7	5	40	29	66	16	31	16.67%	5	380	18.11	1	1	2	5	47	1	1	2	2	31	2	1	36.00%	25	12	1	0	0	1.05	0	0	1	3	3	0
3	Josh Anderson	Devils (NJ )	RW	21	10	8	18	-1	21	5	53	32	88	23	44	11.36%	17	429	20.47	2	5	7	16	65	0	0	0	3	61	0	1	40.00%	20	12	13	1	0	0.84	0	0	1	3	2	1
4	Nicklas Jensen	Devils (NJ )	RW	21	9	9	18	4	0	0	9	32	69	20	48	13.04%	11	314	14.97	1	0	1	2	13	0	0	0	1	0	4	0	45.83%	24	9	4	0	1	1.15	0	0	0	2	0	1
5	Jake Virtanen	Devils (NJ )	RW	19	6	12	18	7	12	0	51	39	48	17	41	12.50%	6	331	17.45	1	1	2	5	37	1	1	2	2	25	1	0	59.09%	22	16	6	0	0	1.09	0	0	0	1	1	2
6	Miles Wood	Devils (NJ )	LW	21	5	9	14	7	16	0	63	36	62	27	34	8.06%	8	333	15.90	0	0	0	0	3	0	0	0	1	18	1	0	30.43%	23	10	9	0	0	0.84	0	0	0	1	2	0
7	Jason Dickinson	Devils (NJ )	C	21	1	10	11	1	9	5	35	51	36	8	17	2.78%	9	370	17.67	1	8	9	8	67	0	0	0	0	9	0	1	50.89%	448	2	4	0	0	0.59	1	0	0	0	0	0
8	Robert Thomas	Devils (NJ )	C	21	3	8	11	3	6	0	18	46	49	8	23	6.12%	3	350	16.67	0	2	2	4	48	0	0	0	0	1	1	0	52.01%	323	11	2	0	0	0.63	0	0	0	0	0	2
9	Jonathon Blum	Devils (NJ )	D	21	2	8	10	9	49	15	52	51	38	10	10	5.26%	27	478	22.76	1	3	4	10	73	0	0	0	0	61	0	0	0.00%	0	7	15	0	0	0.42	1	1	1	0	0	0
10	Tom Pyatt	Devils (NJ )	C	21	3	6	9	7	2	0	26	43	17	7	11	17.65%	6	302	14.42	0	0	0	0	0	0	0	0	0	1	2	0	46.38%	345	1	7	0	0	0.59	0	0	0	0	0	2
11	Dalton Prout	Devils (NJ )	D	21	1	7	8	5	18	0	40	36	22	13	14	4.55%	31	503	23.97	0	3	3	2	73	0	0	0	1	60	0	0	0.00%	0	5	19	0	0	0.32	0	0	0	0	0	2
12	Kevin Porter	Devils (NJ )	C	19	1	6	7	2	2	0	5	12	17	5	21	5.88%	2	137	7.21	0	0	0	0	0	0	0	0	0	0	0	0	35.56%	45	5	3	0	0	1.02	0	0	0	1	0	0
13	Troy Stecher	Devils (NJ )	D	21	1	5	6	3	4	0	38	50	17	7	7	5.88%	25	453	21.60	1	1	2	2	44	0	0	0	0	46	0	0	0.00%	0	6	14	0	0	0.26	0	0	0	0	0	0
14	Robert Bortuzzo	Devils (NJ )	D	21	0	6	6	2	20	0	46	32	13	8	6	0.00%	15	448	21.34	0	0	0	2	44	0	0	0	0	42	0	0	0.00%	0	3	16	0	0	0.27	0	0	0	0	0	0
15	Mike Reilly	Devils (NJ )	D	21	0	6	6	3	2	0	33	25	11	4	6	0.00%	23	357	17.04	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	8	0	0	0.34	0	0	0	0	0	0
16	Andrew Mangiapane	Devils (NJ )	LW	21	3	3	6	1	2	0	23	14	26	17	21	11.54%	4	198	9.47	0	0	0	0	1	0	0	0	0	23	1	0	50.00%	16	3	1	0	0	0.60	0	0	0	1	0	0
17	Carl Dahlstrom	Devils (NJ )	D	21	1	2	3	2	10	0	22	31	16	6	7	6.25%	25	368	17.53	0	0	0	0	0	0	0	0	0	24	0	0	0.00%	0	1	15	0	0	0.16	0	0	0	0	1	0
18	Jordan Nolan	Devils (NJ )	RW	21	1	1	2	2	11	5	19	10	14	4	15	7.14%	3	168	8.02	0	0	0	0	1	0	0	0	0	0	0	0	66.67%	3	1	3	0	0	0.24	0	0	1	0	0	1
19	Patrick Russell	Devils (NJ )	RW	2	1	0	1	-1	0	0	0	2	1	0	1	100.00%	0	15	7.77	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	1.29	0	0	0	0	0	0
20	Jaret Anderson-Dolan	Devils (NJ )	C	2	0	0	0	0	0	0	2	1	1	0	1	0.00%	1	16	8.06	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	0	0	0	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				378	70	126	196	60	201	35	623	614	696	222	411	10.06%	230	6388	16.90	16	27	43	77	588	2	2	4	11	472	16	3	48.59%	1416	126	147	1	1	0.61	2	1	4	14	13	12

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1	S2	S3
1	Linus Ullmark	Devils (NJ )	20	16	3	1	0.922	2.44	1232	50	641	278	20	1	3	3	1
2	Jon Gillies	Devils (NJ )	1	0	0	1	0.917	2.57	70	3	36	16	1	20	0	0	0
Statistiques d’équipe totales ou en moyenne			21	16	3	2	0.922	2.44	1302	53	677	294	21	21	3	3	1

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3
Aaron Ness	Devils (NJ )	D	31	1990-05-18 17:11:13	Yes	184 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Alex DeBrincat	Devils (NJ )	LW	23	1997-12-18 03:02:12	Yes	165 Lbs	5 ft7	No	No	No	1	Pro & Farm	894,167$	0$	0$	No
Andrew Mangiapane	Devils (NJ )	LW	25	1996-04-04 05:08:41	Yes	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$
Carl Dahlstrom	Devils (NJ )	D	26	1995-01-28 02:56:39	Yes	231 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Dalton Prout	Devils (NJ )	D	31	1990-03-13 17:11:13	Yes	215 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$
Erik Brannstrom	Devils (NJ )	D	21	1999-09-02 12:58:46	Yes	173 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,375,000$	0$	0$	No	1,375,000$
Gilles Senn	Devils (NJ )	G	25	1996-03-01 10:23:24	Yes	203 Lbs	6 ft5	No	No	No	3	Pro & Farm	817,500$	0$	0$	No	817,500$	817,500$
Jake Virtanen	Devils (NJ )	RW	24	1996-08-17 05:11:13	Yes	226 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$
Jaret Anderson-Dolan	Devils (NJ )	C	21	1999-09-12 12:53:50	Yes	188 Lbs	5 ft11	No	No	No	2	Pro & Farm	745,000$	0$	0$	No	745,000$
Jason Dickinson	Devils (NJ )	C	25	1995-07-04 23:11:13	Yes	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Jon Gillies	Devils (NJ )	G	27	1994-01-22 08:38:57	Yes	223 Lbs	6 ft6	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$
Jonathon Blum	Devils (NJ )	D	32	1989-01-30 23:11:13	Yes	197 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$
Jordan Nolan	Devils (NJ )	RW	32	1989-06-23 11:11:13	Yes	219 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Josh Anderson	Devils (NJ )	RW	27	1994-05-07 17:11:13	Yes	221 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$
Kevin Porter	Devils (NJ )	C	35	1986-03-12 04:35:02	Yes	195 Lbs	5 ft11	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Linus Ullmark	Devils (NJ )	G	27	1993-07-31 04:18:19	Yes	213 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$
Mike Reilly	Devils (NJ )	D	27	1993-07-13 11:11:13	Yes	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Miles Wood	Devils (NJ )	LW	25	1995-09-13 08:41:29	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$
Nicklas Jensen	Devils (NJ )	RW	28	1993-03-06 11:11:13	Yes	214 Lbs	6 ft4	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Oscar Dansk	Devils (NJ )	G	27	1994-02-28 02:59:29	Yes	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Patrick Russell	Devils (NJ )	RW	28	1993-01-04 14:09:28	Yes	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Pavel Buchnevich	Devils (NJ )	LW	26	1995-04-17 10:11:03	Yes	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$
Robert Bortuzzo	Devils (NJ )	D	32	1989-03-18 11:11:13	Yes	216 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$
Robert Thomas	Devils (NJ )	C	21	1999-07-02 12:51:18	Yes	188 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,208,330$	0$	0$	No	1,208,330$
Ryan Lomberg	Devils (NJ )	LW	26	1994-12-09 04:28:15	Yes	196 Lbs	5 ft9	No	No	No	3	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$
Tom Pyatt	Devils (NJ )	C	34	1987-02-14 12:42:33	No	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Troy Stecher	Devils (NJ )	D	27	1994-04-07 14:02:55	Yes	186 Lbs	5 ft10	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
27	27.15	200 Lbs	6 ft1	2.22	957,037$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex DeBrincat	Jason Dickinson	Josh Anderson	30	1	2	2
2	Pavel Buchnevich	Robert Thomas	Jake Virtanen	30	1	2	2
3	Miles Wood	Tom Pyatt	Nicklas Jensen	30	1	2	2
4	Andrew Mangiapane	Kevin Porter	Jordan Nolan	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dalton Prout	Jonathon Blum	34	1	2	2
2	Robert Bortuzzo	Troy Stecher	34	1	2	2
3	Mike Reilly	Carl Dahlstrom	32	1	2	2
4	Dalton Prout	Jonathon Blum	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex DeBrincat	Jason Dickinson	Josh Anderson	60	1	2	2
2	Pavel Buchnevich	Robert Thomas	Jake Virtanen	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dalton Prout	Jonathon Blum	60	1	2	2
2	Robert Bortuzzo	Troy Stecher	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alex DeBrincat	Josh Anderson	60	1	2	2
2	Jake Virtanen	Pavel Buchnevich	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dalton Prout	Jonathon Blum	60	1	2	2
2	Robert Bortuzzo	Troy Stecher	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Alex DeBrincat	60	1	2	2	Dalton Prout	Jonathon Blum	60	1	2	2
2	Josh Anderson	40	1	2	2	Robert Bortuzzo	Troy Stecher	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alex DeBrincat	Josh Anderson	60	1	2	2
2	Jake Virtanen	Pavel Buchnevich	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dalton Prout	Jonathon Blum	60	1	2	2
2	Robert Bortuzzo	Troy Stecher	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex DeBrincat	Jason Dickinson	Josh Anderson	Dalton Prout	Jonathon Blum

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex DeBrincat	Jason Dickinson	Josh Anderson	Dalton Prout	Jonathon Blum

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nicklas Jensen, Miles Wood, Andrew Mangiapane	Nicklas Jensen, Miles Wood	Andrew Mangiapane

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mike Reilly, Carl Dahlstrom, Robert Bortuzzo	Mike Reilly	Carl Dahlstrom, Robert Bortuzzo

Tirs de pénalité
Alex DeBrincat, Josh Anderson, Jake Virtanen, Pavel Buchnevich, Jason Dickinson

Gardien
#1 : Linus Ullmark, #2 : Jon Gillies

Lignes d’attaque personnalisées en prolongation
Alex DeBrincat, Josh Anderson, Jake Virtanen, Pavel Buchnevich, Jason Dickinson, Nicklas Jensen, Nicklas Jensen, Miles Wood, Robert Thomas, Andrew Mangiapane, Tom Pyatt

Lignes de défense personnalisées en prolongation
Dalton Prout, Jonathon Blum, Robert Bortuzzo, Troy Stecher, Mike Reilly

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
1	Ducks	6	4	2	0	0	0	0	0	21	19	2	3	2	1	0	0	0	0	0	10	10	0	3	2	1	0	0	0	0	0	11	9	2	8	0.667	21	38	59	0	0	19	24	24	3	206	212	223	239	22	198	70	55	185	7	0	0.00%	15	3	80.00%	2	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
2	Islanders	5	4	1	0	0	0	0	0	16	11	5	3	3	0	0	0	0	0	0	9	4	5	2	1	1	0	0	0	0	0	7	7	0	8	0.800	16	28	44	0	0	19	24	24	3	165	212	223	239	22	158	47	56	157	26	7	26.92%	28	4	85.71%	0	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
3	Rangers	6	4	2	0	0	0	0	0	20	16	4	3	2	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	8	6	2	8	0.667	20	37	57	0	0	19	24	24	3	199	212	223	239	22	195	64	65	182	35	5	14.29%	20	3	85.00%	0	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
4	Senateurs	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	5	3	2	2	0	0	0	0	0	0	5	2	3	8	1.000	13	23	36	0	0	19	24	24	3	126	212	223	239	22	126	49	25	99	9	4	44.44%	10	1	90.00%	0	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
	Total	21	16	5	0	0	0	0	0	70	53	17	11	9	2	0	0	0	0	0	39	29	10	10	7	3	0	0	0	0	0	31	24	7	32	0.762	70	126	196	0	0	19	24	24	3	696	212	223	239	22	677	230	201	623	77	16	20.78%	73	11	84.93%	2	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
	_Since Last GM Reset	21	16	5	0	0	0	0	0	70	53	17	11	9	2	0	0	0	0	0	39	29	10	10	7	3	0	0	0	0	0	31	24	7	32	0.762	70	126	196	0	0	19	24	24	3	696	212	223	239	22	677	230	201	623	77	16	20.78%	73	11	84.93%	2	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
	_Vs Conference	15	12	3	0	0	0	0	0	49	34	15	8	7	1	0	0	0	0	0	29	19	10	7	5	2	0	0	0	0	0	20	15	5	24	0.800	49	88	137	0	0	19	24	24	3	490	212	223	239	22	479	160	146	438	70	16	22.86%	58	8	86.21%	0	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185
	_Vs Division	11	8	3	0	0	0	0	0	36	27	9	6	5	1	0	0	0	0	0	21	14	7	5	3	2	0	0	0	0	0	15	13	2	16	0.727	36	65	101	0	0	19	24	24	3	364	212	223	239	22	353	111	121	339	61	12	19.67%	48	7	85.42%	0	273	557	49.01%	262	556	47.12%	153	302	50.66%	461	266	471	196	369	185

			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
21	32	W3	70	126	196	696	677	230	201	623	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	16	5	0	0	0	0	70	53

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	9	2	0	0	0	0	39	29

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	7	3	0	0	0	0	31	24

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	2	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
77	16	20.78%	73	11	84.93%	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
212	223	239	22	19	24	24	3

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
273	557	49.01%	262	556	47.12%	153	302	50.66%

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
461	266	471	196	369	185

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	RI	Lien
1 - 2020-12-17	3	Senateurs	2	Devils	3	W		R2	Sommaire du match
3 - 2020-12-19	11	Senateurs	3	Devils	5	W			Sommaire du match
5 - 2020-12-21	19	Devils	2	Senateurs	1	W		R2	Sommaire du match
7 - 2020-12-23	27	Devils	3	Senateurs	1	W			Sommaire du match
15 - 2020-12-31	58	Islanders	1	Devils	2	W		R5	Sommaire du match
17 - 2021-01-02	62	Islanders	1	Devils	3	W			Sommaire du match
19 - 2021-01-04	66	Devils	3	Islanders	2	W	X	R5	Sommaire du match
21 - 2021-01-06	70	Devils	4	Islanders	5	L			Sommaire du match
23 - 2021-01-08	74	Islanders	2	Devils	4	W		R5	Sommaire du match
29 - 2021-01-14	85	Rangers	3	Devils	5	W			Sommaire du match
31 - 2021-01-16	87	Rangers	3	Devils	4	W	X		Sommaire du match
33 - 2021-01-18	89	Devils	3	Rangers	2	W	X		Sommaire du match
35 - 2021-01-20	91	Devils	2	Rangers	3	L	X		Sommaire du match
37 - 2021-01-22	93	Rangers	4	Devils	3	L			Sommaire du match
39 - 2021-01-24	95	Devils	3	Rangers	1	W			Sommaire du match
43 - 2021-01-28	99	Ducks	3	Devils	4	W			Sommaire du match
44 - 2021-01-29	100	Ducks	5	Devils	1	L			Sommaire du match
45 - 2021-01-30	101	Devils	3	Ducks	4	L	X		Sommaire du match
46 - 2021-01-31	102	Devils	5	Ducks	3	W			Sommaire du match
47 - 2021-02-01	103	Ducks	2	Devils	5	W			Sommaire du match
48 - 2021-02-02	104	Devils	3	Ducks	2	W			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	35	25
Assistance	22,000	11,000
Assistance PCT	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
30	3000 - 100.00%	128,250$	1,410,750$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs
0$	2,584,000$	1,124,000$	0$

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

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

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

	Devils
	GP: 21 \| W: 16 \| L: 5 GF: 70 \| GA: 53 \| PP%: 20.78% \| PK%: 84.93% DG: Frédéric Ferland Bolduc \| Morale : 99 \| Moyenne d’équipe : 71