OTHL - Devils

Devils
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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	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Anders Bjork		X	X	100.00	65	42	96	80	68	62	57	62	25	60	57	56	45	59	59	61	50	60	0
2	Kyle Criscuolo	X			100.00	69	60	90	62	60	65	67	57	71	55	54	60	51	44	44	59	50	57	0
Rayé

	MOYENNE D'ÉQUIPE				100.00	67	51	93	71	64	64	62	60	48	58	56	58	48	52	52	60	50	59

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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

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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	50	2	775,000$

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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	PSG	PSS	FW	FL	FT	S1	S2	S3

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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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Anders Bjork	Devils (NJD)	LW/RW	23	1996-08-05	No	186 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	1,066,667$	0$	0$	No	Lien
Kyle Criscuolo	Devils (NJD)	C	27	1992-05-05	No	170 Lbs	5 ft8	No	No	No	1	Avec Restriction	Pro & Farm	675,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
2	25.00	178 Lbs	5 ft10	1.50	870,834$

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.
, , , ,

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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

	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	Americans	1	0	1	0	0	0	0	0	0	7	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	7	2	3	0	8	48	45	53	0	35	11	0	8	4	0	0.00%	0	0	0.00%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
2	Bruins	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	7	2	3	0	12	48	45	53	0	49	17	8	10	2	0	0.00%	3	2	33.33%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
3	Condors	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	7	2	3	0	16	48	45	53	0	34	16	0	4	4	0	0.00%	0	0	0.00%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
4	Moose	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	7	2	3	0	16	48	45	53	0	62	19	2	15	1	0	0.00%	1	0	100.00%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
5	Phantoms	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	8	12	1	0	7	2	3	0	37	48	45	53	0	39	13	2	23	1	0	0.00%	1	0	100.00%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
6	Thunderbirds	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	7	2	3	0	16	48	45	53	0	35	9	4	16	3	0	0.00%	2	1	50.00%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
	Total	7	0	7	0	0	0	0	0	12	49	-37	4	0	4	0	0	0	0	0	7	28	-21	3	0	3	0	0	0	0	0	5	21	-16	0	0.000	12	23	35	1	0	7	2	3	0	146	48	45	53	0	307	98	18	104	16	0	0.00%	8	3	62.50%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
8	Wolf Pack	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	7	2	3	0	41	48	45	53	0	53	13	2	28	1	0	0.00%	1	0	100.00%	0	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
	_Since Last GM Reset	7	0	7	0	0	0	0	0	12	49	-37	4	0	4	0	0	0	0	0	7	28	-21	3	0	3	0	0	0	0	0	5	21	-16	0	0.000	12	23	35	1	0	7	2	3	0	146	48	45	53	0	307	98	18	104	16	0	0.00%	8	3	62.50%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
	_Vs Conference	4	0	4	0	0	0	0	0	10	28	-18	2	0	2	0	0	0	0	0	5	14	-9	2	0	2	0	0	0	0	0	5	14	-9	0	0.000	10	19	29	1	0	7	2	3	0	106	48	45	53	0	176	52	16	77	7	0	0.00%	7	3	57.14%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
	_Vs Division	3	0	0	0	0	0	0	0	3	22	-19	1	0	0	0	0	0	0	0	2	7	-5	2	0	0	0	0	0	0	0	1	15	-14	0	0.000	3	5	8	0	0	7	2	3	0	36	48	45	53	0	119	37	12	34	9	0	0.00%	5	3	40.00%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25

			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	0	L7	12	23	35	146	307	98	18	104	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	0	7	0	0	0	0	12	49

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	7	28

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	5	21

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	7	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
16	0	0.00%	8	3	62.50%	1

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
48	45	53	0	7	2	3	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
50	141	35.46%	63	212	29.72%	34	124	27.42%

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
84	54	262	49	73	25

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	Lien
3 - 2019-10-06	14	Moose	8	Devils	1	L	Sommaire du Match
4 - 2019-10-07	20	Devils	0	Americans	7	L	Sommaire du Match
8 - 2019-10-11	45	Devils	4	Phantoms	6	L	Sommaire du Match
9 - 2019-10-12	52	Condors	6	Devils	1	L	Sommaire du Match
11 - 2019-10-14	61	Devils	1	Bruins	8	L	Sommaire du Match
13 - 2019-10-16	81	Thunderbirds	7	Devils	2	L	Sommaire du Match
16 - 2019-10-19	103	Wolf Pack	7	Devils	3	L	Sommaire du Match
18 - 2019-10-21	116	Comets	-	Devils	-
24 - 2019-10-27	156	Roadrunners	-	Devils	-
29 - 2019-11-01	192	Crunch	-	Devils	-
31 - 2019-11-03	199	Phantoms	-	Devils	-
32 - 2019-11-04	207	Devils	-	Checkers	-
35 - 2019-11-07	234	Devils	-	Moose	-
37 - 2019-11-09	239	Devils	-	Heat	-
38 - 2019-11-10	250	Devils	-	Condors	-
40 - 2019-11-12	268	Devils	-	Comets	-
43 - 2019-11-15	282	Senators	-	Devils	-
45 - 2019-11-17	295	Penguins	-	Devils	-
46 - 2019-11-18	306	Devils	-	Rocket	-
49 - 2019-11-21	325	Bruins	-	Devils	-
52 - 2019-11-24	347	Devils	-	Penguins	-
53 - 2019-11-25	354	Griffins	-	Devils	-
56 - 2019-11-28	376	Wild	-	Devils	-
58 - 2019-11-30	390	Devils	-	Rocket	-
60 - 2019-12-02	411	Wolf Pack	-	Devils	-
62 - 2019-12-04	420	Devils	-	Americans	-
63 - 2019-12-05	428	Wolves	-	Devils	-
66 - 2019-12-08	449	IceHogs	-	Devils	-
67 - 2019-12-09	458	Devils	-	Admirals	-
70 - 2019-12-12	474	Devils	-	Stars	-
73 - 2019-12-15	499	Devils	-	Eagles	-
74 - 2019-12-16	502	Devils	-	Roadrunners	-
78 - 2019-12-20	536	Gulls	-	Devils	-
80 - 2019-12-22	550	Bears	-	Devils	-
81 - 2019-12-23	555	Devils	-	Monsters	-
83 - 2019-12-25	570	Devils	-	IceHogs	-
87 - 2019-12-29	587	Marlies	-	Devils	-
89 - 2019-12-31	609	Devils	-	Senators	-
91 - 2020-01-02	623	Bruins	-	Devils	-
93 - 2020-01-04	633	Devils	-	Sound Tigers	-
95 - 2020-01-06	648	Eagles	-	Devils	-
98 - 2020-01-09	668	Sound Tigers	-	Devils	-
100 - 2020-01-11	684	Devils	-	Wolf Pack	-
102 - 2020-01-13	702	Devils	-	Bears	-
103 - 2020-01-14	707	Crunch	-	Devils	-
105 - 2020-01-16	723	Devils	-	Marlies	-
107 - 2020-01-18	739	Devils	-	Bears	-
109 - 2020-01-20	743	Devils	-	Monsters	-
118 - 2020-01-29	771	Devils	-	Senators	-
121 - 2020-02-01	784	Admirals	-	Devils	-
123 - 2020-02-03	799	Stars	-	Devils	-
126 - 2020-02-06	818	Rocket	-	Devils	-
128 - 2020-02-08	836	Devils	-	Phantoms	-
130 - 2020-02-10	848	Reign	-	Devils	-
133 - 2020-02-13	872	Thunderbirds	-	Devils	-
135 - 2020-02-15	885	Griffins	-	Devils	-
136 - 2020-02-16	891	Devils	-	Checkers	-
138 - 2020-02-18	908	Monsters	-	Devils	-
140 - 2020-02-20	925	Devils	-	Rampage	-
142 - 2020-02-22	935	Barracudas	-	Devils	-
144 - 2020-02-24	950	Bears	-	Devils	-
147 - 2020-02-27	972	Devils	-	Griffins	-
149 - 2020-02-29	990	Devils	-	Barracudas	-
151 - 2020-03-02	1002	Devils	-	Reign	-
152 - 2020-03-03	1011	Devils	-	Gulls	-
154 - 2020-03-05	1027	Devils	-	Wolves	-
157 - 2020-03-08	1046	Rampage	-	Devils	-
158 - 2020-03-09	1055	Devils	-	Wolf Pack	-
161 - 2020-03-12	1074	Penguins	-	Devils	-
163 - 2020-03-14	1089	Checkers	-	Devils	-
165 - 2020-03-16	1104	Devils	-	Thunderbirds	-
166 - 2020-03-17	1116	Devils	-	Crunch	-
168 - 2020-03-19	1129	Devils	-	Marlies	-
170 - 2020-03-21	1142	Heat	-	Devils	-
172 - 2020-03-23	1159	Sound Tigers	-	Devils	-
174 - 2020-03-25	1173	Monsters	-	Devils	-
177 - 2020-03-28	1194	Devils	-	Wild	-
179 - 2020-03-30	1212	Phantoms	-	Devils	-
180 - 2020-03-31	1219	Checkers	-	Devils	-
182 - 2020-04-02	1235	Devils	-	Penguins	-
184 - 2020-04-04	1247	Americans	-	Devils	-
186 - 2020-04-06	1266	Devils	-	Sound Tigers	-

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	5,846	3,083
Assistance PCT	73.08%	77.08%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	2232 - 74.41%	58,460$	233,840$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
86,751$	174,167$	174,167$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
936$	15,912$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,163,020$	169	5,103$	862,407$

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
2019	7	0	7	0	0	0	0	0	12	49	-37	4	0	4	0	0	0	0	0	7	28	-21	3	0	3	0	0	0	0	0	5	21	-16	0	12	23	35	1	0	7	2	3	0	146	48	45	53	0	307	98	18	104	16	0	0.00%	8	3	62.50%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25
Total Saison Régulière	7	0	7	0	0	0	0	0	12	49	-37	4	0	4	0	0	0	0	0	7	28	-21	3	0	3	0	0	0	0	0	5	21	-16	0	12	23	35	1	0	7	2	3	0	146	48	45	53	0	307	98	18	104	16	0	0.00%	8	3	62.50%	1	50	141	35.46%	63	212	29.72%	34	124	27.42%	84	54	262	49	73	25