OTHL - Rampage

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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	TA	SP
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
2	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
3	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
4	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
5	Karson Kuhlman (R)	X		X		100.00	65	41	93	65	66	62	75	60	25	64	70	66	25	45	45	68	50	61		0
6	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
7	Luke Gazdic		X			100.00	74	84	49	62	84	58	60	55	50	49	54	66	51	60	60	57	50	58		0
8	Victor Mete				X	100.00	61	41	97	81	65	75	81	60	25	54	47	76	25	57	57	62	50	66		0
9	Paul Ladue				X	100.00	80	45	88	77	75	62	60	61	25	49	48	63	25	49	50	60	50	62		0
Rayé

	MOYENNE D'ÉQUIPE					100.00	76	58	81	72	74	59	72	59	38	57	58	66	43	52	52	63	50	62

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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

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#	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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Luke Gazdic	Rampage (STL)	LW	82	91	18	109	-5	126	20	326	132	495	140	356	18.38%	132	1247	15.22	1	0	1	2	10	0	0	10	3	73.91%	92	11	1.75	1	2	3	1	2	3	3
2	Ashton Sautner	Blues	D	34	11	29	40	33	28	0	82	27	72	18	28	15.28%	46	705	20.75	7	3	10	36	89	2	119	0	0	0.00%	0	0	1.13	0	0	0	0	1	4	2
3	Karson Kuhlman	Rampage (STL)	C/RW	25	11	28	39	30	10	0	14	41	77	29	62	14.29%	4	477	19.09	1	8	9	10	57	4	99	1	1	56.66%	623	1	1.63	0	4	0	0	2	3	5
4	Samuel Girard	Blues	D	35	4	31	35	35	20	0	28	21	41	7	23	9.76%	31	767	21.94	4	4	8	24	92	0	113	1	0	0.00%	0	0	0.91	0	0	0	0	1	1	2
5	Jean-Sebastien Dea	Blues	C/RW	1	3	1	4	3	0	0	0	2	8	1	4	37.50%	0	18	18.30	0	1	1	0	1	0	0	1	0	76.19%	21	1	4.37	0	0	0	0	1	0	0
6	Paul Ladue	Rampage (STL)	D	5	0	3	3	2	4	0	6	4	8	1	7	0.00%	0	93	18.60	0	2	2	2	16	0	10	0	0	0.00%	0	0	0.65	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				182	120	110	230	98	188	20	456	227	701	196	480	17.12%	213	3309	18.19	13	18	31	74	267	6	343	13	4	59.38%	736	13	1.39	1	6	3	1	7	11	12

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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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andrew Hammond	Rampage (STL)	G	32	1988-02-11	No	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,750,000$	0$	0$	No	2,750,000$		Lien
Brendan Lemieux	Rampage (STL)	LW/RW	24	1996-03-14	No	210 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,039,167$	0$	0$	No	1,039,167$		Lien
Joseph Gambardella	Rampage (STL)	C/LW	26	1993-12-01	Yes	201 Lbs	5 ft10	Yes	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien
Josh Currie	Rampage (STL)	C/RW	27	1992-10-29	No	190 Lbs	5 ft11	Yes	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien
Karson Kuhlman	Rampage (STL)	C/RW	24	1995-09-26	Yes	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
Luke Gazdic	Rampage (STL)	LW	30	1989-07-24	No	225 Lbs	6 ft4	No	No	No	1	Pro & Farm	825,000$	0$	0$	No			Lien
Marko Dano	Rampage (STL)	LW/RW	25	1994-11-30	No	212 Lbs	5 ft11	No	Yes	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Paul Ladue	Rampage (STL)	D	27	1992-09-06	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Samuel Blais	Rampage (STL)	LW/RW	23	1996-06-16	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	725,833$	0$	0$	No	725,833$		Lien
Scott Darling	Rampage (STL)	G	31	1988-12-21	No	232 Lbs	6 ft6	Yes	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Lien
Victor Mete	Rampage (STL)	D	21	1998-06-07	No	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	870,000$	0$	0$	No	870,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
11	26.36	205 Lbs	6 ft1	2.00	1,055,455$

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	Americans	2	0	2	0	0	0	0	0	3	18	-15	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	3	6	9	0	0	92	68	68	6	26	840	793	865	40	94	33	14	20	6	0	0.00%	7	1	85.71%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
2	Admirals	4	1	3	0	0	0	0	0	12	25	-13	2	1	1	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	6	13	-7	2	0.250	12	23	35	0	0	92	68	68	6	127	840	793	865	40	200	52	18	81	9	0	0.00%	9	3	66.67%	1	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
3	Barracudas	3	0	3	0	0	0	0	0	5	17	-12	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	5	9	14	0	0	92	68	68	6	75	840	793	865	40	127	37	25	61	8	1	12.50%	10	3	70.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
4	Bears	2	0	1	0	1	0	0	0	5	9	-4	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	8	13	0	0	92	68	68	6	87	840	793	865	40	75	14	12	40	5	1	20.00%	6	2	66.67%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
5	Bruins	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	5	10	15	0	0	92	68	68	6	27	840	793	865	40	85	18	8	16	5	0	0.00%	4	2	50.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
6	Checkers	2	0	2	0	0	0	0	0	1	18	-17	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	1	2	3	0	0	92	68	68	6	29	840	793	865	40	101	28	6	19	9	0	0.00%	3	3	0.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
7	Comets	3	0	3	0	0	0	0	0	6	25	-19	1	0	1	0	0	0	0	0	2	9	-7	2	0	2	0	0	0	0	0	4	16	-12	0	0.000	6	10	16	0	0	92	68	68	6	35	840	793	865	40	110	35	16	38	15	3	20.00%	7	3	57.14%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
8	Condors	3	0	3	0	0	0	0	0	1	24	-23	1	0	1	0	0	0	0	0	0	7	-7	2	0	2	0	0	0	0	0	1	17	-16	0	0.000	1	2	3	0	0	92	68	68	6	30	840	793	865	40	139	32	26	37	8	0	0.00%	6	1	83.33%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
9	Crunch	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	4	8	12	0	0	92	68	68	6	64	840	793	865	40	98	31	12	41	3	1	33.33%	6	1	83.33%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
10	Devils	2	0	1	0	0	1	0	0	5	9	-4	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	5	9	14	0	0	92	68	68	6	97	840	793	865	40	70	23	6	61	2	1	50.00%	3	0	100.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
11	Eagles	5	2	2	0	1	0	0	0	26	22	4	2	1	1	0	0	0	0	0	11	9	2	3	1	1	0	1	0	0	0	15	13	2	6	0.600	26	48	74	0	0	92	68	68	6	256	840	793	865	40	257	71	20	160	4	0	0.00%	10	4	60.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
12	Griffins	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	3	6	9	0	0	92	68	68	6	41	840	793	865	40	101	31	8	48	2	0	0.00%	4	1	75.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
13	Gulls	3	0	3	0	0	0	0	0	6	25	-19	2	0	2	0	0	0	0	0	2	14	-12	1	0	1	0	0	0	0	0	4	11	-7	0	0.000	6	12	18	0	0	92	68	68	6	69	840	793	865	40	161	50	21	58	5	1	20.00%	8	3	62.50%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
14	Heat	3	0	3	0	0	0	0	0	9	38	-29	1	0	1	0	0	0	0	0	3	11	-8	2	0	2	0	0	0	0	0	6	27	-21	0	0.000	9	18	27	0	0	92	68	68	6	52	840	793	865	40	232	70	14	30	8	2	25.00%	7	1	85.71%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
15	IceHogs	4	0	4	0	0	0	0	0	3	38	-35	2	0	2	0	0	0	0	0	2	14	-12	2	0	2	0	0	0	0	0	1	24	-23	0	0.000	3	6	9	0	0	92	68	68	6	40	840	793	865	40	214	57	56	59	7	0	0.00%	15	4	73.33%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
16	Marlies	2	0	2	0	0	0	0	0	6	19	-13	1	0	1	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	6	11	17	0	0	92	68	68	6	51	840	793	865	40	116	33	16	42	2	0	0.00%	5	2	60.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
17	Monsters	2	0	2	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	2	3	5	0	0	92	68	68	6	29	840	793	865	40	96	17	11	22	9	1	11.11%	4	3	25.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
18	Moose	4	0	3	0	0	1	0	0	7	18	-11	2	0	1	0	0	1	0	0	4	7	-3	2	0	2	0	0	0	0	0	3	11	-8	1	0.125	7	12	19	0	0	92	68	68	6	136	840	793	865	40	142	51	14	80	3	0	0.00%	7	4	42.86%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
19	Penguins	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	7	12	0	0	92	68	68	6	57	840	793	865	40	93	28	2	58	5	1	20.00%	1	0	100.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
20	Phantoms	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	3	5	8	0	0	92	68	68	6	51	840	793	865	40	104	29	13	38	4	0	0.00%	4	2	50.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
21	Reign	3	3	0	0	0	0	0	0	15	11	4	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	6	4	2	6	1.000	15	30	45	0	0	92	68	68	6	167	840	793	865	40	164	38	22	104	3	0	0.00%	10	1	90.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
22	Roadrunners	3	1	1	0	0	0	0	1	18	21	-3	2	1	1	0	0	0	0	0	13	15	-2	1	0	0	0	0	0	0	1	5	6	-1	3	0.500	18	34	52	0	0	92	68	68	6	146	840	793	865	40	144	46	16	61	7	1	14.29%	7	2	71.43%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
23	Rocket	2	0	2	0	0	0	0	0	3	19	-16	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	3	6	9	0	0	92	68	68	6	29	840	793	865	40	123	23	15	37	4	0	0.00%	5	2	60.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
24	Senators	2	1	0	0	0	0	1	0	14	8	6	1	1	0	0	0	0	0	0	8	3	5	1	0	0	0	0	0	1	0	6	5	1	4	1.000	14	25	39	0	0	92	68	68	6	97	840	793	865	40	91	21	14	71	2	1	50.00%	7	2	71.43%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
25	Sound Tigers	2	0	1	0	0	0	1	0	9	9	0	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	9	15	24	0	0	92	68	68	6	95	840	793	865	40	94	34	11	69	6	0	0.00%	3	0	100.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
26	Stars	5	1	4	0	0	0	0	0	15	25	-10	3	1	2	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	6	14	-8	2	0.200	15	25	40	0	0	92	68	68	6	192	840	793	865	40	269	68	22	142	4	0	0.00%	10	4	60.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
27	Thunderbirds	2	0	2	0	0	0	0	0	8	16	-8	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	9	-5	0	0.000	8	15	23	0	0	92	68	68	6	41	840	793	865	40	90	39	18	20	4	0	0.00%	7	1	85.71%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
	Total	82	13	62	0	2	2	2	1	232	529	-297	41	11	26	0	1	2	1	0	129	236	-107	41	2	36	0	1	0	1	1	103	293	-190	37	0.226	232	426	658	0	0	92	68	68	6	2520	840	793	865	40	3976	1107	482	1695	159	15	9.43%	197	62	68.53%	2	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
29	Wild	4	2	2	0	0	0	0	0	20	18	2	2	2	0	0	0	0	0	0	12	7	5	2	0	2	0	0	0	0	0	8	11	-3	4	0.500	20	38	58	0	0	92	68	68	6	219	840	793	865	40	164	45	14	91	4	1	25.00%	6	3	50.00%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
30	Wolf Pack	2	1	1	0	0	0	0	0	12	12	0	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	6	7	-1	2	0.500	12	21	33	0	0	92	68	68	6	95	840	793	865	40	102	20	16	55	2	0	0.00%	8	3	62.50%	1	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
31	Wolves	3	0	3	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	0	6	-6	2	0	2	0	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	92	68	68	6	60	840	793	865	40	120	33	16	36	4	0	0.00%	8	1	87.50%	0	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
	_Since Last GM Reset	82	13	62	0	2	2	2	1	232	529	-297	41	11	26	0	1	2	1	0	129	236	-107	41	2	36	0	1	0	1	1	103	293	-190	37	0.226	232	426	658	0	0	92	68	68	6	2520	840	793	865	40	3976	1107	482	1695	159	15	9.43%	197	62	68.53%	2	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
	_Vs Conference	49	10	36	0	1	1	0	1	141	313	-172	25	8	16	0	0	1	0	0	76	140	-64	24	2	20	0	1	0	0	1	65	173	-108	24	0.245	141	265	406	0	0	92	68	68	6	1595	840	793	865	40	2427	683	298	1020	80	6	7.50%	120	35	70.83%	1	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
	_Vs Division	26	4	21	0	0	1	0	0	83	146	-63	13	4	8	0	0	1	0	0	44	60	-16	13	0	13	0	0	0	0	0	39	86	-47	9	0.173	83	152	235	0	0	92	68	68	6	970	840	793	865	40	1246	344	144	613	31	1	3.23%	57	22	61.40%	1	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384

			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
82	37	W2	232	426	658	2520	3976	1107	482	1695	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	13	62	2	2	2	1	232	529

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	11	26	1	2	1	0	129	236

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	2	36	1	0	1	1	103	293

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	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
159	15	9.43%	197	62	68.53%	2

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
840	793	865	40	92	68	68	6

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
789	1940	40.67%	886	2428	36.49%	537	1479	36.31%

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
1413	980	2627	541	902	384

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	8	Rampage	0	L			Sommaire du Match
20 - 2019-10-23	131	Eagles	6	Rampage	5	L			Sommaire du Match
23 - 2019-10-26	154	Reign	5	Rampage	6	W			Sommaire du Match
25 - 2019-10-28	161	Rampage	0	Bruins	4	L			Sommaire du Match
26 - 2019-10-29	171	Rampage	1	Griffins	6	L			Sommaire du Match
29 - 2019-11-01	193	Wild	4	Rampage	8	W			Sommaire du Match
31 - 2019-11-03	202	Monsters	5	Rampage	2	L			Sommaire du Match
32 - 2019-11-04	212	Rampage	4	Wild	5	L			Sommaire du Match
35 - 2019-11-07	233	Rampage	2	Comets	6	L			Sommaire du Match
36 - 2019-11-08	235	Rampage	1	Condors	8	L			Sommaire du Match
39 - 2019-11-11	253	Rampage	3	Heat	12	L			Sommaire du Match
42 - 2019-11-14	278	Roadrunners	7	Rampage	8	W			Sommaire du Match
45 - 2019-11-17	294	Rampage	0	Monsters	7	L			Sommaire du Match
46 - 2019-11-18	311	Gulls	5	Rampage	2	L			Sommaire du Match
49 - 2019-11-21	329	Crunch	6	Rampage	3	L			Sommaire du Match
51 - 2019-11-23	344	Heat	11	Rampage	3	L			Sommaire du Match
53 - 2019-11-25	357	Admirals	8	Rampage	1	L			Sommaire du Match
55 - 2019-11-27	369	Rampage	3	Admirals	7	L			Sommaire du Match
57 - 2019-11-29	388	Rampage	1	Crunch	8	L			Sommaire du Match
59 - 2019-12-01	397	Rampage	3	Stars	7	L			Sommaire du Match
60 - 2019-12-02	413	Penguins	6	Rampage	4	L			Sommaire du Match
62 - 2019-12-04	421	Rampage	0	IceHogs	11	L			Sommaire du Match
64 - 2019-12-06	436	Rampage	1	Penguins	4	L			Sommaire du Match
67 - 2019-12-09	460	Marlies	11	Rampage	3	L			Sommaire du Match
70 - 2019-12-12	473	Rampage	1	Americans	9	L			Sommaire du Match
72 - 2019-12-14	496	Wolves	6	Rampage	0	L			Sommaire du Match
74 - 2019-12-16	513	IceHogs	5	Rampage	1	L			Sommaire du Match
76 - 2019-12-18	523	Eagles	3	Rampage	6	W			Sommaire du Match
78 - 2019-12-20	537	Condors	7	Rampage	0	L			Sommaire du Match
81 - 2019-12-23	561	Rampage	2	Barracudas	6	L			Sommaire du Match
83 - 2019-12-25	571	Rampage	6	Reign	4	W			Sommaire du Match
87 - 2019-12-29	591	Rampage	2	Moose	5	L			Sommaire du Match
89 - 2019-12-31	610	Moose	4	Rampage	2	L			Sommaire du Match
91 - 2020-01-02	613	Rampage	5	Roadrunners	6	L	X	X	Sommaire du Match
93 - 2020-01-04	631	Rampage	4	Eagles	6	L			Sommaire du Match
95 - 2020-01-06	652	Rampage	0	Wolves	2	L			Sommaire du Match
98 - 2020-01-09	671	Barracudas	4	Rampage	2	L			Sommaire du Match
100 - 2020-01-11	686	Americans	9	Rampage	2	L			Sommaire du Match
102 - 2020-01-13	700	Wolf Pack	5	Rampage	6	W			Sommaire du Match
104 - 2020-01-15	712	Gulls	9	Rampage	0	L			Sommaire du Match
106 - 2020-01-17	726	Phantoms	8	Rampage	2	L			Sommaire du Match
109 - 2020-01-20	744	Rampage	5	Eagles	4	W	X		Sommaire du Match
118 - 2020-01-29	773	Rampage	2	Comets	10	L			Sommaire du Match
119 - 2020-01-30	775	Rampage	3	Heat	15	L			Sommaire du Match
122 - 2020-02-02	787	Rampage	0	Condors	9	L			Sommaire du Match
123 - 2020-02-03	805	Rampage	1	Moose	6	L			Sommaire du Match
126 - 2020-02-06	821	Checkers	8	Rampage	0	L			Sommaire du Match
128 - 2020-02-08	837	Moose	3	Rampage	2	L	X		Sommaire du Match
130 - 2020-02-10	849	Stars	4	Rampage	1	L			Sommaire du Match
133 - 2020-02-13	866	Rampage	4	Gulls	11	L			Sommaire du Match
135 - 2020-02-15	890	Rampage	1	Wolves	5	L			Sommaire du Match
137 - 2020-02-17	903	Admirals	4	Rampage	5	W			Sommaire du Match
138 - 2020-02-18	909	Rampage	3	Admirals	6	L			Sommaire du Match
140 - 2020-02-20	925	Devils	4	Rampage	3	L	X		Sommaire du Match
142 - 2020-02-22	937	Roadrunners	8	Rampage	5	L			Sommaire du Match
143 - 2020-02-23	945	Rampage	3	Stars	7	L			Sommaire du Match
145 - 2020-02-25	964	Rampage	4	Wild	6	L			Sommaire du Match
147 - 2020-02-27	978	IceHogs	9	Rampage	1	L			Sommaire du Match
149 - 2020-02-29	991	Sound Tigers	4	Rampage	5	W	X	X	Sommaire du Match
151 - 2020-03-02	1008	Stars	4	Rampage	3	L			Sommaire du Match
154 - 2020-03-05	1023	Rampage	6	Wolf Pack	7	L			Sommaire du Match
157 - 2020-03-08	1046	Rampage	2	Devils	5	L			Sommaire du Match
159 - 2020-03-10	1061	Rampage	1	IceHogs	13	L			Sommaire du Match
161 - 2020-03-12	1076	Thunderbirds	7	Rampage	4	L			Sommaire du Match
164 - 2020-03-15	1097	Barracudas	7	Rampage	1	L			Sommaire du Match
166 - 2020-03-17	1115	Senators	3	Rampage	8	W			Sommaire du Match
168 - 2020-03-19	1128	Rampage	1	Phantoms	9	L			Sommaire du Match
170 - 2020-03-21	1137	Rampage	1	Checkers	10	L			Sommaire du Match
172 - 2020-03-23	1157	Rampage	4	Thunderbirds	9	L			Sommaire du Match
175 - 2020-03-26	1184	Rampage	1	Bears	6	L			Sommaire du Match
178 - 2020-03-29	1201	Reign	2	Rampage	3	W			Sommaire du Match
180 - 2020-03-31	1222	Wild	3	Rampage	4	W			Sommaire du Match
182 - 2020-04-02	1236	Griffins	5	Rampage	2	L			Sommaire du Match
184 - 2020-04-04	1252	Bruins	4	Rampage	5	W			Sommaire du Match
186 - 2020-04-06	1261	Rampage	6	Eagles	3	W			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	100	0
Assistance	44,821	36,359
Assistance PCT	54.66%	88.68%

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	1980 - 66.00%	109,320$	4,482,100$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,798,941$	1,161,000$	1,161,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
6,242$	998,954$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	10,543$	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
2019	82	13	62	0	2	2	2	1	232	529	-297	41	11	26	0	1	2	1	0	129	236	-107	41	2	36	0	1	0	1	1	103	293	-190	37	232	426	658	0	0	92	68	68	6	2520	840	793	865	40	3976	1107	482	1695	159	15	9.43%	197	62	68.53%	2	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384
Total Saison Régulière	82	13	62	0	2	2	2	1	232	529	-297	41	11	26	0	1	2	1	0	129	236	-107	41	2	36	0	1	0	1	1	103	293	-190	37	232	426	658	0	0	92	68	68	6	2520	840	793	865	40	3976	1107	482	1695	159	15	9.43%	197	62	68.53%	2	789	1940	40.67%	886	2428	36.49%	537	1479	36.31%	1413	980	2627	541	902	384