OTHL - Rampage

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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	TA	SP
1	Josh Currie	X		X	100.00	84	45	96	66	69	52	87	61	36	62	59	69	25	47	47	65	50	62		0
2	Samuel Blais		X	X	100.00	94	47	93	84	76	55	73	59	44	56	57	59	75	47	47	63	50	62		0
3	Marko Dano		X	X	100.00	72	78	59	76	78	59	59	62	50	57	61	66	58	58	58	63	50	62	X	0
4	Joseph Gambardella (R)	X	X		100.00	73	43	95	62	71	51	74	55	56	65	55	70	25	45	45	62	50	59		0
5	Luke Gazdic		X		100.00	74	84	49	62	84	58	60	55	50	49	54	66	51	60	60	57	50	58		0
Rayé
1	Brendan Lemieux		X	X	100.00	85	99	55	77	79	54	79	60	35	58	71	60	75	59	59	67	50	64		0

	MOYENNE D'ÉQUIPE				100.00	80	66	75	71	76	55	72	59	45	58	60	65	52	53	53	63	50	61

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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	Scott Darling	100.00	49	62	78	95	45	49	50	55	47	48	30	58	59	51	50	57	0
2	Andrew Hammond	100.00	54	55	69	81	55	58	50	58	56	55	30	50	51	55	50	57	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	52	59	74	88	50	54	50	57	52	52	30	54	55	53	50	57

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Bouchard	58	74	55	79	49	35	58	CAN	45	3	800,000$

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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	Luke Gazdic	Rampage (STL)	LW	7	8	3	11	5	6	0	31	12	46	14	33	17.39%	10	106	15.15	0	0	0	0	1	0	0	0	0	0	1	0	80.00%	5	0	0	0	0	2.07	0	1	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				7	8	3	11	5	6	0	31	12	46	14	33	17.39%	10	106	15.15	0	0	0	0	1	0	0	0	0	0	1	0	80.00%	5	0	0	0	0	2.07	0	1	0	0	0	0	0	0

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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	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
Andrew Hammond	Rampage (STL)	G	31	1988-02-11	No	215 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	2,750,000$	0$	0$	No	Lien
Brendan Lemieux	Rampage (STL)	LW/RW	23	1996-03-14	No	210 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	1,039,167$	0$	0$	No	Lien
Joseph Gambardella	Rampage (STL)	C/LW	25	1993-12-01	Yes	201 Lbs	5 ft10	Yes	No	No	3	Avec Restriction	Pro & Farm	900,000$	0$	0$	No	Lien
Josh Currie	Rampage (STL)	C/RW	27	1992-10-29	No	190 Lbs	5 ft11	Yes	No	No	3	Avec Restriction	Pro & Farm	900,000$	0$	0$	No	Lien
Luke Gazdic	Rampage (STL)	LW	30	1989-07-24	No	225 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	825,000$	0$	0$	No	Lien
Marko Dano	Rampage (STL)	LW/RW	24	1994-11-30	No	212 Lbs	5 ft11	No	Yes	No	1	Avec Restriction	Pro & Farm	925,000$	0$	0$	No	Lien
Samuel Blais	Rampage (STL)	LW/RW	23	1996-06-16	No	205 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	725,833$	0$	0$	No	Lien
Scott Darling	Rampage (STL)	G	30	1988-12-21	No	232 Lbs	6 ft6	Yes	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
8	26.63	211 Lbs	6 ft1	2.00	1,133,125$

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

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , , Luke Gazdic

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	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	11	3	11	2	61	77	89	83	14	26	6	4	29	1	0	0.00%	2	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
2	Comets	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	11	3	11	2	13	77	89	83	14	34	14	4	10	7	1	14.29%	2	1	50.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
3	Marlies	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	3	5	8	0	0	11	3	11	2	26	77	89	83	14	54	16	6	17	1	0	0.00%	1	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
4	Rocket	1	0	1	0	0	0	0	0	3	11	-8	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	3	6	9	0	0	11	3	11	2	17	77	89	83	14	63	11	9	20	2	0	0.00%	3	1	66.67%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
5	Senators	1	0	0	0	0	0	1	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	6	5	1	2	1.000	6	10	16	0	0	11	3	11	2	60	77	89	83	14	47	11	8	35	0	0	0.00%	4	2	50.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
6	Sound Tigers	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	7	11	0	0	11	3	11	2	28	77	89	83	14	56	19	11	30	3	0	0.00%	3	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
7	Stars	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	11	3	11	2	50	77	89	83	14	40	9	2	32	2	0	0.00%	1	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
	Total	7	1	4	0	1	0	1	0	27	44	-17	3	1	1	0	1	0	0	0	11	15	-4	4	0	3	0	0	0	1	0	16	29	-13	6	0.429	27	45	72	0	0	11	3	11	2	255	77	89	83	14	320	86	44	173	16	1	6.25%	16	4	75.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
	_Since Last GM Reset	7	1	4	0	1	0	1	0	27	44	-17	3	1	1	0	1	0	0	0	11	15	-4	4	0	3	0	0	0	1	0	16	29	-13	6	0.429	27	45	72	0	0	11	3	11	2	255	77	89	83	14	320	86	44	173	16	1	6.25%	16	4	75.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
	_Vs Conference	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	11	3	11	2	50	77	89	83	14	40	9	2	32	2	0	0.00%	1	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
	_Vs Division	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	11	3	11	2	50	77	89	83	14	40	9	2	32	2	0	0.00%	1	0	100.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35

			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	6	L3	27	45	72	255	320	86	44	173	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	4	1	0	1	0	27	44

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	1	0	0	0	11	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	0	1	0	16	29

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	4	1	0	1	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	1	6.25%	16	4	75.00%	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
77	89	83	14	11	3	11	2

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
63	164	38.41%	74	196	37.76%	44	135	32.59%

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
137	96	209	46	79	35

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
1 - 2019-10-04	2	Bears	3	Rampage	4	W	X		Sommaire du Match
4 - 2019-10-07	28	Stars	3	Rampage	5	W			Sommaire du Match
6 - 2019-10-09	35	Rampage	3	Marlies	8	L			Sommaire du Match
9 - 2019-10-12	54	Rampage	6	Senators	5	W	X	X	Sommaire du Match
11 - 2019-10-14	69	Rampage	3	Rocket	11	L			Sommaire du Match
13 - 2019-10-16	82	Rampage	4	Sound Tigers	5	L			Sommaire du Match
16 - 2019-10-19	104	Comets	9	Rampage	2	L			Sommaire du Match
18 - 2019-10-21	121	Rocket	-	Rampage	-
20 - 2019-10-23	131	Eagles	-	Rampage	-
23 - 2019-10-26	154	Reign	-	Rampage	-
25 - 2019-10-28	161	Rampage	-	Bruins	-
26 - 2019-10-29	171	Rampage	-	Griffins	-
29 - 2019-11-01	193	Wild	-	Rampage	-
31 - 2019-11-03	202	Monsters	-	Rampage	-
32 - 2019-11-04	212	Rampage	-	Wild	-
35 - 2019-11-07	233	Rampage	-	Comets	-
36 - 2019-11-08	235	Rampage	-	Condors	-
39 - 2019-11-11	253	Rampage	-	Heat	-
42 - 2019-11-14	278	Roadrunners	-	Rampage	-
45 - 2019-11-17	294	Rampage	-	Monsters	-
46 - 2019-11-18	311	Gulls	-	Rampage	-
49 - 2019-11-21	329	Crunch	-	Rampage	-
51 - 2019-11-23	344	Heat	-	Rampage	-
53 - 2019-11-25	357	Admirals	-	Rampage	-
55 - 2019-11-27	369	Rampage	-	Admirals	-
57 - 2019-11-29	388	Rampage	-	Crunch	-
59 - 2019-12-01	397	Rampage	-	Stars	-
60 - 2019-12-02	413	Penguins	-	Rampage	-
62 - 2019-12-04	421	Rampage	-	IceHogs	-
64 - 2019-12-06	436	Rampage	-	Penguins	-
67 - 2019-12-09	460	Marlies	-	Rampage	-
70 - 2019-12-12	473	Rampage	-	Americans	-
72 - 2019-12-14	496	Wolves	-	Rampage	-
74 - 2019-12-16	513	IceHogs	-	Rampage	-
76 - 2019-12-18	523	Eagles	-	Rampage	-
78 - 2019-12-20	537	Condors	-	Rampage	-
81 - 2019-12-23	561	Rampage	-	Barracudas	-
83 - 2019-12-25	571	Rampage	-	Reign	-
87 - 2019-12-29	591	Rampage	-	Moose	-
89 - 2019-12-31	610	Moose	-	Rampage	-
91 - 2020-01-02	613	Rampage	-	Roadrunners	-
93 - 2020-01-04	631	Rampage	-	Eagles	-
95 - 2020-01-06	652	Rampage	-	Wolves	-
98 - 2020-01-09	671	Barracudas	-	Rampage	-
100 - 2020-01-11	686	Americans	-	Rampage	-
102 - 2020-01-13	700	Wolf Pack	-	Rampage	-
104 - 2020-01-15	712	Gulls	-	Rampage	-
106 - 2020-01-17	726	Phantoms	-	Rampage	-
109 - 2020-01-20	744	Rampage	-	Eagles	-
118 - 2020-01-29	773	Rampage	-	Comets	-
119 - 2020-01-30	775	Rampage	-	Heat	-
122 - 2020-02-02	787	Rampage	-	Condors	-
123 - 2020-02-03	805	Rampage	-	Moose	-
126 - 2020-02-06	821	Checkers	-	Rampage	-
128 - 2020-02-08	837	Moose	-	Rampage	-
130 - 2020-02-10	849	Stars	-	Rampage	-
133 - 2020-02-13	866	Rampage	-	Gulls	-
135 - 2020-02-15	890	Rampage	-	Wolves	-
137 - 2020-02-17	903	Admirals	-	Rampage	-
138 - 2020-02-18	909	Rampage	-	Admirals	-
140 - 2020-02-20	925	Devils	-	Rampage	-
142 - 2020-02-22	937	Roadrunners	-	Rampage	-
143 - 2020-02-23	945	Rampage	-	Stars	-
145 - 2020-02-25	964	Rampage	-	Wild	-
147 - 2020-02-27	978	IceHogs	-	Rampage	-
149 - 2020-02-29	991	Sound Tigers	-	Rampage	-
151 - 2020-03-02	1008	Stars	-	Rampage	-
154 - 2020-03-05	1023	Rampage	-	Wolf Pack	-
157 - 2020-03-08	1046	Rampage	-	Devils	-
159 - 2020-03-10	1061	Rampage	-	IceHogs	-
161 - 2020-03-12	1076	Thunderbirds	-	Rampage	-
164 - 2020-03-15	1097	Barracudas	-	Rampage	-
166 - 2020-03-17	1115	Senators	-	Rampage	-
168 - 2020-03-19	1128	Rampage	-	Phantoms	-
170 - 2020-03-21	1137	Rampage	-	Checkers	-
172 - 2020-03-23	1157	Rampage	-	Thunderbirds	-
175 - 2020-03-26	1184	Rampage	-	Bears	-
178 - 2020-03-29	1201	Reign	-	Rampage	-
180 - 2020-03-31	1222	Wild	-	Rampage	-
182 - 2020-04-02	1236	Griffins	-	Rampage	-
184 - 2020-04-04	1252	Bruins	-	Rampage	-
186 - 2020-04-06	1261	Rampage	-	Eagles	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	100	0
Assistance	4,473	2,165
Assistance PCT	74.55%	72.17%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	2213 - 73.76%	149,100$	447,300$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
182,605$	906,500$	906,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
4,874$	109,488$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
5,665,800$	169	9,175$	1,550,575$

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	1	4	0	1	0	1	0	27	44	-17	3	1	1	0	1	0	0	0	11	15	-4	4	0	3	0	0	0	1	0	16	29	-13	6	27	45	72	0	0	11	3	11	2	255	77	89	83	14	320	86	44	173	16	1	6.25%	16	4	75.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35
Total Saison Régulière	7	1	4	0	1	0	1	0	27	44	-17	3	1	1	0	1	0	0	0	11	15	-4	4	0	3	0	0	0	1	0	16	29	-13	6	27	45	72	0	0	11	3	11	2	255	77	89	83	14	320	86	44	173	16	1	6.25%	16	4	75.00%	0	63	164	38.41%	74	196	37.76%	44	135	32.59%	137	96	209	46	79	35