OTHL - Devils

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Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
Rayé
1	Nick Ritchie		X			100.00	86	58	44	75	84	67	71	75	29	70	71	61	25	63	64	70	50	67	0
2	Kirby Dach (R)	X	X	X		100.00	65	42	88	84	75	67	82	71	49	68	64	60	75	51	51	68	50	66	0
3	Gemel Smith	X	X	X		100.00	69	68	72	72	68	74	76	67	80	59	68	65	65	56	56	67	50	64	0
4	Antti Suomela	X				100.00	79	43	93	74	64	54	71	60	72	75	57	66	25	48	48	65	50	62	0
5	Kyle Criscuolo	X				100.00	69	60	90	62	60	62	63	59	74	58	56	60	53	44	44	60	50	58	0
6	Joel Kiviranta (R)		X	X		100.00	80	43	88	80	59	57	71	63	25	50	59	54	25	45	45	61	50	58	0
7	Andrei Chibisov (R)			X		100.00	74	79	62	65	79	67	70	57	50	58	51	62	48	44	44	58	50	58	0
8	Jakob Stukel		X			100.00	76	70	90	62	70	65	69	53	50	45	56	62	53	44	44	58	50	57	0
9	Blake Speers	X		X		100.00	72	67	83	68	67	58	61	51	64	47	47	63	45	55	55	54	50	56	0
10	Brent Gates (R)	X	X			100.00	79	73	93	66	73	53	54	52	65	41	58	64	55	44	44	59	50	56	0
11	Antoine Morand (R)	X				100.00	71	66	83	67	66	70	75	50	63	49	47	59	45	44	44	55	50	56	0
12	Igor Shvyrev	X				100.00	77	71	91	60	71	65	70	49	61	42	50	62	48	44	44	56	50	55	0
13	Nathan Noel	X	X			100.00	64	63	66	53	63	49	51	44	55	38	44	54	42	44	44	47	50	48	0
14	Markus Nutivaara				X	100.00	73	43	96	82	71	68	76	62	25	52	49	59	25	62	63	60	50	64	0
15	Leon Gawanke (R)				X	100.00	76	72	86	63	72	68	72	54	25	52	41	63	39	44	44	55	50	60	0
16	Niko Mikkola (R)				X	100.00	75	71	85	68	71	73	79	49	25	43	40	61	38	44	44	54	50	59	0
17	Mark Friedman				X	100.00	71	67	81	64	67	75	81	51	25	47	41	59	39	44	44	54	50	59	0
18	Thomas Schemitsch				X	100.00	78	77	80	60	77	68	74	48	25	39	41	62	39	44	44	53	50	58	0
19	Hunter Drew (R)				X	100.00	71	72	69	66	72	56	59	47	25	37	41	58	39	44	44	50	50	55	0
20	Jake Massie (R)				X	100.00	70	66	78	64	66	51	53	45	25	33	42	57	40	44	44	50	50	53	0

	MOYENNE D'ÉQUIPE					100.00	74	64	81	68	70	63	69	55	46	50	51	61	43	48	48	58	50	58

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

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#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Vellucci	58	69	37	40	50	54	51	USA	51	1	775,000$

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	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andrei Chibisov	Devils (NJD)	RW	27	1993-02-26	Yes	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Lien / Lien NHL
Antoine Morand	Devils (NJD)	C	21	1999-02-18	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	927,000$	927,000$	0$	0$	No	927,000$	927,000$	Lien / Lien NHL
Antti Suomela	Devils (NJD)	C	26	1994-03-17	No	172 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	Lien / Lien NHL
Blake Speers	Devils (NJD)	C/RW	23	1997-01-02	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	935,833$	935,833$	0$	0$	No	935,833$	935,833$	Lien / Lien NHL
Brent Gates	Devils (NJD)	C/LW	23	1997-08-12	Yes	198 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien
Gemel Smith	Devils (NJD)	C/LW/RW	26	1994-04-16	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$		Lien / Lien NHL
Hunter Drew	Devils (NJD)	D	22	1998-10-21	Yes	192 Lbs	6 ft2	No	No	No	3	Pro & Farm	793,333$	793,333$	0$	0$	No	793,333$	793,333$	Lien / Lien NHL
Igor Shvyrev	Devils (NJD)	C	22	1998-07-10	No	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Jake Massie	Devils (NJD)	D	23	1997-01-21	Yes	179 Lbs	6 ft1	No	No	No	3	Pro & Farm	770,000$	770,000$	0$	0$	No	770,000$	770,000$	Lien / Lien NHL
Jakob Stukel	Devils (NJD)	LW	23	1997-03-06	No	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Joel Kiviranta	Devils (NJD)	LW/RW	24	1996-03-23	Yes	163 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,002$	925,002$	0$	0$	No			Lien / Lien NHL
Kirby Dach	Devils (NJD)	C/LW/RW	19	2001-01-20	Yes	198 Lbs	6 ft4	No	No	No	2	Pro & Farm	3,425,000$	3,425,000$	0$	0$	No	3,425,000$		Lien / Lien NHL
Kyle Criscuolo	Devils (NJD)	C	28	1992-05-05	No	170 Lbs	5 ft8	No	No	No	2	Pro & Farm	725,000$	725,000$	0$	0$	No	725,000$		Lien / Lien NHL
Leon Gawanke	Devils (NJD)	D	21	1999-05-31	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	810,000$	810,000$	0$	0$	No	810,000$	810,000$	Lien / Lien NHL
Mark Friedman	Devils (NJD)	D	24	1995-12-25	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$		Lien / Lien NHL
Markus Nutivaara	Devils (NJD)	D	26	1994-06-06	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien / Lien NHL
Nathan Noel	Devils (NJD)	C/LW	23	1997-06-21	No	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien
Nick Ritchie	Devils (NJD)	LW	24	1995-12-05	No	234 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No	1,500,000$		Lien / Lien NHL
Niko Mikkola	Devils (NJD)	D	26	1994-04-26	Yes	184 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Thomas Schemitsch	Devils (NJD)	D	24	1996-10-25	No	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	715,000$	715,000$	0$	0$	No	715,000$	715,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	23.75	190 Lbs	6 ft1	2.45	1,011,308$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	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 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	Bears	2	0	1	0	0	0	0	1	7	11	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	4	7	-3	1	0.250	7	14	21	0	0	33	29	13	0	89	231	280	263	13	100	33	8	44	1	1	100.00%	4	1	75.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
2	Bruins	2	0	2	0	0	0	0	0	1	16	-15	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	33	29	13	0	11	231	280	263	13	104	36	8	20	5	0	0.00%	4	1	75.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
3	Checkers	2	0	2	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	9	18	27	0	0	33	29	13	0	72	231	280	263	13	91	31	10	51	4	2	50.00%	5	2	60.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
4	Comets	2	0	2	0	0	0	0	0	1	17	-16	1	0	1	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	33	29	13	0	24	231	280	263	13	84	22	12	21	5	0	0.00%	6	2	66.67%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
5	Crunch	2	0	2	0	0	0	0	0	4	15	-11	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	4	8	12	0	0	33	29	13	0	50	231	280	263	13	88	27	8	32	4	1	25.00%	3	1	66.67%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
6	Griffins	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	12	18	0	0	33	29	13	0	62	231	280	263	13	102	33	6	36	2	1	50.00%	3	1	66.67%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
7	Marlies	2	1	1	0	0	0	0	0	10	13	-3	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	3	9	-6	2	0.500	10	20	30	0	0	33	29	13	0	87	231	280	263	13	104	24	6	37	4	1	25.00%	3	1	66.67%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
8	Monsters	2	0	2	0	0	0	0	0	1	16	-15	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	33	29	13	0	26	231	280	263	13	88	28	12	24	7	0	0.00%	5	1	80.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
9	Penguins	2	0	2	0	0	0	0	0	2	19	-17	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	2	4	6	0	0	33	29	13	0	24	231	280	263	13	89	29	9	27	6	0	0.00%	2	2	0.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
10	Phantoms	2	0	2	0	0	0	0	0	7	17	-10	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	4	12	-8	0	0.000	7	14	21	0	0	33	29	13	0	48	231	280	263	13	95	35	8	37	1	0	0.00%	4	2	50.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
11	Rocket	2	0	2	0	0	0	0	0	1	16	-15	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	33	29	13	0	17	231	280	263	13	92	28	19	15	5	0	0.00%	4	1	75.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
12	Senators	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	10	15	0	0	33	29	13	0	68	231	280	263	13	130	30	19	55	0	0	0.00%	2	0	100.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
13	Sound Tigers	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	6	12	18	0	0	33	29	13	0	81	231	280	263	13	117	30	6	52	1	0	0.00%	3	1	66.67%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
14	Thunderbirds	2	0	2	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	33	29	13	0	16	231	280	263	13	87	26	6	24	4	0	0.00%	3	2	33.33%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
	Total	30	2	26	0	0	0	0	2	75	205	-130	15	2	12	0	0	0	0	1	39	92	-53	15	0	14	0	0	0	0	1	36	113	-77	6	0.100	75	148	223	0	0	33	29	13	0	779	231	280	263	13	1498	444	150	522	51	6	11.76%	55	18	67.27%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
16	Wolf Pack	2	1	0	0	0	0	0	1	13	11	2	1	1	0	0	0	0	0	0	7	4	3	1	0	0	0	0	0	0	1	6	7	-1	3	0.750	13	24	37	0	0	33	29	13	0	104	231	280	263	13	127	32	13	47	2	0	0.00%	4	0	100.00%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
	_Since Last GM Reset	30	2	26	0	0	0	0	2	75	205	-130	15	2	12	0	0	0	0	1	39	92	-53	15	0	14	0	0	0	0	1	36	113	-77	6	0.100	75	148	223	0	0	33	29	13	0	779	231	280	263	13	1498	444	150	522	51	6	11.76%	55	18	67.27%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
	_Vs Conference	30	2	26	0	0	0	0	2	75	205	-130	15	2	12	0	0	0	0	1	39	92	-53	15	0	14	0	0	0	0	1	36	113	-77	6	0.100	75	148	223	0	0	33	29	13	0	779	231	280	263	13	1498	444	150	522	51	6	11.76%	55	18	67.27%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
	_Vs Division	14	1	13	0	0	0	0	0	29	92	-63	7	1	6	0	0	0	0	0	15	38	-23	7	0	7	0	0	0	0	0	14	54	-40	2	0.071	29	58	87	0	0	33	29	13	0	311	231	280	263	13	707	204	72	219	24	3	12.50%	22	7	68.18%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123

			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
30	6	SOL1	75	148	223	779	1498	444	150	522	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	2	26	0	0	0	2	75	205

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	2	12	0	0	0	1	39	92

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	0	14	0	0	0	1	36	113

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	8	0	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
51	6	11.76%	55	18	67.27%	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
231	280	263	13	33	29	13	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
249	597	41.71%	346	921	37.57%	194	548	35.40%

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
404	269	1085	209	320	123

Derniers Match 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	Lien
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2020-10-24	2	Bears	4	Devils	3	L	X	X	Sommaire du Match
2 - 2020-10-25	29	Crunch	5	Devils	4	L			Sommaire du Match
3 - 2020-10-26	36	Devils	4	Bears	7	L			Sommaire du Match
4 - 2020-10-27	60	Devils	2	Thunderbirds	6	L			Sommaire du Match
5 - 2020-10-28	69	Thunderbirds	4	Devils	0	L			Sommaire du Match
6 - 2020-10-29	90	Devils	1	Penguins	8	L			Sommaire du Match
7 - 2020-10-30	104	Penguins	11	Devils	1	L			Sommaire du Match
9 - 2020-11-01	123	Devils	4	Phantoms	12	L			Sommaire du Match
10 - 2020-11-02	124	Devils	3	Senators	4	L			Sommaire du Match
11 - 2020-11-03	144	Comets	10	Devils	1	L			Sommaire du Match
12 - 2020-11-04	163	Devils	3	Sound Tigers	6	L			Sommaire du Match
13 - 2020-11-05	177	Wolf Pack	4	Devils	7	W			Sommaire du Match
15 - 2020-11-07	194	Bruins	7	Devils	0	L			Sommaire du Match
17 - 2020-11-09	224	Sound Tigers	5	Devils	3	L			Sommaire du Match
18 - 2020-11-10	241	Devils	0	Comets	7	L			Sommaire du Match
19 - 2020-11-11	253	Devils	3	Checkers	4	L			Sommaire du Match
20 - 2020-11-12	259	Senators	7	Devils	2	L			Sommaire du Match
22 - 2020-11-14	283	Phantoms	5	Devils	3	L			Sommaire du Match
23 - 2020-11-15	297	Devils	1	Bruins	9	L			Sommaire du Match
24 - 2020-11-16	312	Devils	1	Monsters	8	L			Sommaire du Match
25 - 2020-11-17	323	Monsters	8	Devils	0	L			Sommaire du Match
26 - 2020-11-18	343	Marlies	4	Devils	7	W			Sommaire du Match
27 - 2020-11-19	349	Devils	0	Crunch	10	L			Sommaire du Match
29 - 2020-11-21	378	Rocket	7	Devils	0	L			Sommaire du Match
30 - 2020-11-22	384	Devils	4	Griffins	7	L			Sommaire du Match
32 - 2020-11-24	407	Griffins	4	Devils	2	L			Sommaire du Match
33 - 2020-11-25	426	Devils	1	Rocket	9	L			Sommaire du Match
36 - 2020-11-28	439	Checkers	7	Devils	6	L			Sommaire du Match
37 - 2020-11-29	446	Devils	3	Marlies	9	L			Sommaire du Match
38 - 2020-11-30	457	Devils	6	Wolf Pack	7	L	X	X	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	40	0
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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,022,616$	1,974,366$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

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

Afficher ou Masquer des Colonnes

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	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
2020	30	2	26	0	0	0	0	2	75	205	-130	15	2	12	0	0	0	0	1	39	92	-53	15	0	14	0	0	0	0	1	36	113	-77	6	75	148	223	0	0	33	29	13	0	779	231	280	263	13	1498	444	150	522	51	6	11.76%	55	18	67.27%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123
Total Saison Régulière	30	2	26	0	0	0	0	2	75	205	-130	15	2	12	0	0	0	0	1	39	92	-53	15	0	14	0	0	0	0	1	36	113	-77	6	75	148	223	0	0	33	29	13	0	779	231	280	263	13	1498	444	150	522	51	6	11.76%	55	18	67.27%	0	249	597	41.71%	346	921	37.57%	194	548	35.40%	404	269	1085	209	320	123