OTHL - Sound Tigers

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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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Alan Quine	X			100.00	76	44	86	75	73	54	59	59	47	62	70	64	25	53	54	68	50	62	0
2	Taylor Leier		X		100.00	71	66	82	69	66	67	69	61	50	55	62	62	59	44	44	63	50	60	0
3	Max McCormick		X		100.00	80	44	90	69	67	50	85	59	25	50	58	63	25	47	47	61	50	59	0
4	Landon Ferraro	X			100.00	68	68	68	65	68	54	54	58	73	53	56	62	53	54	55	59	50	57	0
5	Brett Lernout			X	100.00	81	80	83	74	80	59	63	46	25	33	41	66	39	55	55	53	50	60	0
Rayé
1	Chase De Leo	X			100.00	73	65	93	62	65	80	84	66	80	65	62	67	59	54	54	67	50	64	0

	MOYENNE D'ÉQUIPE				100.00	75	61	84	69	70	61	69	58	50	53	58	64	43	51	52	62	50	60

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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
Todd Reirden	79	76	93	70	66	66	75	USA	46	3	900,000$

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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
1	Alan Quine	Sound Tigers (NYI)	C	7	8	1	9	4	11	5	17	19	44	10	23	18.18%	10	96	13.77	0	0	0	1	1	0	0	0	0	0	1	0	61.26%	111	0	0	0	1	1.87	0	0	0	1	0	0	0	1
Stats d'équipe Total ou en Moyenne				7	8	1	9	4	11	5	17	19	44	10	23	18.18%	10	96	13.77	0	0	0	1	1	0	0	0	0	0	1	0	61.26%	111	0	0	0	1	1.87	0	0	0	1	0	0	0	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 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
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	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
Alan Quine	Sound Tigers (NYI)	C	26	1993-02-25	No	203 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	650,000$	0$	0$	No	Lien
Brett Lernout	Sound Tigers (NYI)	D	24	1995-09-23	No	213 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	700,000$	0$	0$	No	Lien
Chase De Leo	Sound Tigers (NYI)	C	24	1995-10-25	No	185 Lbs	5 ft9	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Landon Ferraro	Sound Tigers (NYI)	C	28	1991-08-07	No	186 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	800,000$	0$	0$	No	Lien
Max McCormick	Sound Tigers (NYI)	LW	27	1992-05-01	No	188 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	700,000$	0$	0$	No	Lien
Taylor Leier	Sound Tigers (NYI)	LW	25	1994-02-14	No	180 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	800,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
6	25.67	193 Lbs	6 ft0	1.17	733,333$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2		Alan Quine		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		Alan Quine		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	Alan Quine		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	Alan Quine		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
, , Alan Quine, ,

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	Bears	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	5	9	6	0	56	81	66	66	0	41	8	2	24	3	0	0.00%	0	0	0.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
2	Checkers	1	0	1	0	0	0	0	0	0	12	-12	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	12	-12	0	0.000	0	0	0	0	0	5	9	6	0	16	81	66	66	0	58	17	5	18	2	0	0.00%	0	0	0.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
3	Condors	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	5	9	6	0	11	81	66	66	0	48	19	4	6	2	0	0.00%	2	2	0.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
4	Moose	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	9	14	0	0	5	9	6	0	50	81	66	66	0	76	31	4	35	6	0	0.00%	2	0	100.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
5	Rampage	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	5	9	6	0	56	81	66	66	0	28	7	11	18	3	0	0.00%	3	0	100.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
6	Thunderbirds	1	0	1	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	3	9	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	5	9	6	0	24	81	66	66	0	45	11	6	18	2	0	0.00%	3	1	66.67%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
	Total	7	2	5	0	0	0	0	0	20	42	-22	5	2	3	0	0	0	0	0	19	26	-7	2	0	2	0	0	0	0	0	1	16	-15	4	0.286	20	35	55	0	0	5	9	6	0	213	81	66	66	0	296	93	32	119	18	0	0.00%	10	3	70.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
	_Since Last GM Reset	7	2	5	0	0	0	0	0	20	42	-22	5	2	3	0	0	0	0	0	19	26	-7	2	0	2	0	0	0	0	0	1	16	-15	4	0.286	20	35	55	0	0	5	9	6	0	213	81	66	66	0	296	93	32	119	18	0	0.00%	10	3	70.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
	_Vs Conference	3	1	2	0	0	0	0	0	10	24	-14	2	1	1	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	0	12	-12	2	0.333	10	17	27	0	0	5	9	6	0	96	81	66	66	0	144	36	13	60	7	0	0.00%	3	1	66.67%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
	_Vs Division	2	1	2	0	0	0	0	0	7	15	-8	1	1	1	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	0	12	-12	2	0.500	7	12	19	0	0	5	9	6	0	72	81	66	66	0	99	25	7	42	5	0	0.00%	0	0	0.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30

			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	4	L1	20	35	55	213	296	93	32	119	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	20	42

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	19	26

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	1	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	5	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
18	0	0.00%	10	3	70.00%	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
81	66	66	0	5	9	6	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
66	165	40.00%	76	194	39.18%	46	123	37.40%

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
112	78	233	46	74	30

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	15	Bears	3	Sound Tigers	7	W	Sommaire du Match
5 - 2019-10-08	33	Moose	5	Sound Tigers	4	L	Sommaire du Match
7 - 2019-10-10	40	Condors	5	Sound Tigers	0	L	Sommaire du Match
10 - 2019-10-13	59	Sound Tigers	0	Checkers	12	L	Sommaire du Match
11 - 2019-10-14	70	Thunderbirds	9	Sound Tigers	3	L	Sommaire du Match
13 - 2019-10-16	82	Rampage	4	Sound Tigers	5	W	Sommaire du Match
16 - 2019-10-19	106	Sound Tigers	1	Moose	4	L	Sommaire du Match
18 - 2019-10-21	114	Sound Tigers	-	Monsters	-
23 - 2019-10-26	152	Roadrunners	-	Sound Tigers	-
24 - 2019-10-27	157	Sound Tigers	-	Senators	-
26 - 2019-10-29	173	Phantoms	-	Sound Tigers	-
31 - 2019-11-03	200	Crunch	-	Sound Tigers	-
32 - 2019-11-04	206	Sound Tigers	-	Americans	-
35 - 2019-11-07	229	Senators	-	Sound Tigers	-
37 - 2019-11-09	243	Penguins	-	Sound Tigers	-
39 - 2019-11-11	256	Thunderbirds	-	Sound Tigers	-
43 - 2019-11-15	283	Marlies	-	Sound Tigers	-
46 - 2019-11-18	308	Sound Tigers	-	Phantoms	-
49 - 2019-11-21	327	Sound Tigers	-	Penguins	-
51 - 2019-11-23	343	Penguins	-	Sound Tigers	-
53 - 2019-11-25	356	Sound Tigers	-	Barracudas	-
55 - 2019-11-27	365	Sound Tigers	-	Gulls	-
57 - 2019-11-29	382	Sound Tigers	-	Reign	-
60 - 2019-12-02	412	Monsters	-	Sound Tigers	-
62 - 2019-12-04	422	Sound Tigers	-	Griffins	-
63 - 2019-12-05	427	Sound Tigers	-	Rocket	-
65 - 2019-12-07	444	Wolves	-	Sound Tigers	-
67 - 2019-12-09	455	Sound Tigers	-	Stars	-
69 - 2019-12-11	470	Sound Tigers	-	Crunch	-
72 - 2019-12-14	492	Sound Tigers	-	Thunderbirds	-
74 - 2019-12-16	509	Americans	-	Sound Tigers	-
77 - 2019-12-19	527	Admirals	-	Sound Tigers	-
79 - 2019-12-21	539	Sound Tigers	-	Bruins	-
81 - 2019-12-23	559	Gulls	-	Sound Tigers	-
83 - 2019-12-25	574	Monsters	-	Sound Tigers	-
87 - 2019-12-29	584	Sound Tigers	-	IceHogs	-
89 - 2019-12-31	608	Sound Tigers	-	Wild	-
91 - 2020-01-02	625	Sound Tigers	-	Bears	-
93 - 2020-01-04	633	Devils	-	Sound Tigers	-
95 - 2020-01-06	650	Sound Tigers	-	Marlies	-
97 - 2020-01-08	661	Eagles	-	Sound Tigers	-
98 - 2020-01-09	668	Sound Tigers	-	Devils	-
102 - 2020-01-13	696	Bruins	-	Sound Tigers	-
104 - 2020-01-15	710	Sound Tigers	-	Wolf Pack	-
105 - 2020-01-16	719	Griffins	-	Sound Tigers	-
107 - 2020-01-18	734	Wolf Pack	-	Sound Tigers	-
109 - 2020-01-20	750	Bears	-	Sound Tigers	-
110 - 2020-01-21	755	Sound Tigers	-	Checkers	-
112 - 2020-01-23	764	Sound Tigers	-	Wolf Pack	-
123 - 2020-02-03	801	Comets	-	Sound Tigers	-
126 - 2020-02-06	819	Stars	-	Sound Tigers	-
128 - 2020-02-08	834	Reign	-	Sound Tigers	-
130 - 2020-02-10	850	Sound Tigers	-	Crunch	-
132 - 2020-02-12	865	Sound Tigers	-	Bears	-
133 - 2020-02-13	873	Phantoms	-	Sound Tigers	-
135 - 2020-02-15	886	Sound Tigers	-	Admirals	-
137 - 2020-02-17	905	Sound Tigers	-	Wolves	-
139 - 2020-02-19	915	Sound Tigers	-	Roadrunners	-
141 - 2020-02-21	929	Sound Tigers	-	Eagles	-
143 - 2020-02-23	947	Griffins	-	Sound Tigers	-
145 - 2020-02-25	965	Barracudas	-	Sound Tigers	-
147 - 2020-02-27	976	Wolf Pack	-	Sound Tigers	-
149 - 2020-02-29	991	Sound Tigers	-	Rampage	-
151 - 2020-03-02	1005	Bruins	-	Sound Tigers	-
154 - 2020-03-05	1022	Rocket	-	Sound Tigers	-
156 - 2020-03-07	1039	Sound Tigers	-	Senators	-
158 - 2020-03-09	1054	Checkers	-	Sound Tigers	-
161 - 2020-03-12	1078	Sound Tigers	-	Comets	-
163 - 2020-03-14	1085	Sound Tigers	-	Heat	-
164 - 2020-03-15	1096	Sound Tigers	-	Condors	-
166 - 2020-03-17	1114	Sound Tigers	-	Penguins	-
168 - 2020-03-19	1127	Heat	-	Sound Tigers	-
170 - 2020-03-21	1145	Sound Tigers	-	Marlies	-
172 - 2020-03-23	1159	Sound Tigers	-	Devils	-
173 - 2020-03-24	1168	Checkers	-	Sound Tigers	-
175 - 2020-03-26	1182	Sound Tigers	-	Phantoms	-
177 - 2020-03-28	1197	Americans	-	Sound Tigers	-
179 - 2020-03-30	1211	Sound Tigers	-	Rocket	-
181 - 2020-04-01	1225	Sound Tigers	-	Monsters	-
182 - 2020-04-02	1234	Wild	-	Sound Tigers	-
184 - 2020-04-04	1248	IceHogs	-	Sound Tigers	-
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	19	0
Assistance	7,147	3,760
Assistance PCT	71.47%	75.20%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
36	2181 - 72.71%	27,159$	135,793$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
133,928$	440,000$	440,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
2,366$	51,670$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
977,710$	169	7,204$	1,217,476$

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	2	5	0	0	0	0	0	20	42	-22	5	2	3	0	0	0	0	0	19	26	-7	2	0	2	0	0	0	0	0	1	16	-15	4	20	35	55	0	0	5	9	6	0	213	81	66	66	0	296	93	32	119	18	0	0.00%	10	3	70.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30
Total Saison Régulière	7	2	5	0	0	0	0	0	20	42	-22	5	2	3	0	0	0	0	0	19	26	-7	2	0	2	0	0	0	0	0	1	16	-15	4	20	35	55	0	0	5	9	6	0	213	81	66	66	0	296	93	32	119	18	0	0.00%	10	3	70.00%	0	66	165	40.00%	76	194	39.18%	46	123	37.40%	112	78	233	46	74	30