Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Rockets

Rockets

GP: 15 | W: 10 | L: 5 | OTL: 0 | P: 20
GF: 57 | GA: 48 | PP%: 32.35% | PK%: 74.51%
DG: Sylvain Langlois | Morale : 90 | Moyenne d'Équipe : 59
Prochain matchs #234 vs Grizzlies

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Winnipeg Jets
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière

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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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Dustin Brown		X			100.00	77	45	86	82	68	74	77	63	30	64	62	55	69	97	89	0	90	66	0
2	Paul Stastny			X		100.00	52	45	89	82	62	59	88	57	88	55	60	59	67	97	86	0	90	65	0
3	Carter Rowney		X			100.00	50	45	95	74	74	50	40	45	30	40	50	55	50	94	81	0	90	54	0
4	Mitchell Stephens	X				100.00	50	45	95	77	59	50	40	45	30	40	50	55	50	86	73	0	90	53	0
5	Johan Larsson	X				100.00	50	45	95	75	67	50	40	45	30	40	50	55	50	91	78	0	90	53	0
6	Jake Muzzin				X	100.00	58	45	92	72	80	70	40	47	30	44	50	70	50	94	85	0	90	63	0
Rayé
1	Sven Andrighetto		X			99.00	50	45	95	77	56	50	40	45	30	40	50	55	50	90	77	0	90	53	0

	MOYENNE D'ÉQUIPE					99.86	55	45	92	77	67	58	52	50	38	46	53	58	55	93	81	0	90	58

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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	Thomas Greiss	100.00	70	55	76	92	70	72	70	72	70	70	83	97	88	0	90	65	0
2	Anton Khudobin	100.00	70	50	64	84	70	70	70	70	70	70	70	96	83	0	90	63	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	70	53	70	88	70	71	70	71	70	70	77	97	86	0	90	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alain Vigneault	65	65	65	65	96	72	48	CAN	62	5	500,000$

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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	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	HT	P/20	PSG	PSS	S1	S2	S3
1	Dustin Brown	Rockets (WIN)	LW	15	13	11	24	6	12	19	12	95	25	63	13.68%	4	326	21.77	4	4	8	13	26	1	1	2	2	37	2	3	34.62%	52	17	8	1	1.47	0	1	4	0	0
2	Derick Brassard	Winnipeg Jets	C	9	6	11	17	4	14	11	27	45	7	16	13.33%	6	203	22.66	1	3	4	8	16	1	0	1	1	16	2	0	59.42%	276	19	6	1	1.67	0	1	2	1	0
3	Paul Stastny	Rockets (WIN)	RW	11	4	7	11	0	4	10	15	37	12	31	10.81%	5	220	20.07	2	2	4	9	20	0	1	1	0	14	1	0	63.64%	22	7	4	0	1.00	0	1	0	1	1
4	Anthony Richard	Winnipeg Jets	RW	14	4	6	10	-3	8	21	15	66	12	29	6.06%	4	235	16.84	1	0	1	6	17	0	0	0	0	20	0	0	41.18%	17	8	6	0	0.85	1	1	1	1	0
5	Sven Andrighetto	Rockets (WIN)	LW	15	5	3	8	5	0	5	11	28	9	18	17.86%	1	263	17.58	0	0	0	1	3	0	0	0	1	11	1	0	50.00%	8	2	2	0	0.61	0	0	1	1	0
6	Carter Rowney	Rockets (WIN)	LW	15	6	2	8	-5	0	16	10	23	10	13	26.09%	9	272	18.16	1	1	2	1	19	0	0	0	1	20	0	0	40.74%	27	7	6	0	0.59	0	0	0	0	2
7	Jake Muzzin	Rockets (WIN)	D	15	1	6	7	0	2	11	19	26	11	11	3.85%	20	375	25.05	0	1	1	2	28	0	1	1	3	40	0	0	0.00%	0	7	16	0	0.37	0	1	0	0	0
8	Johan Larsson	Rockets (WIN)	C	15	1	5	6	2	2	15	25	15	1	15	6.67%	4	247	16.49	0	2	2	1	19	0	0	0	0	6	0	0	42.37%	262	5	7	0	0.49	0	0	0	1	0
9	Mitchell Stephens	Rockets (WIN)	C	11	2	2	4	-2	0	2	15	16	4	9	12.50%	8	163	14.86	0	0	0	1	5	0	0	0	0	6	0	0	43.55%	62	3	1	0	0.49	0	0	0	0	0
10	Duncan Siemens	Winnipeg Jets	D	5	0	2	2	-2	0	2	8	6	7	5	0.00%	1	114	22.94	0	0	0	2	6	0	1	1	1	12	0	0	0.00%	1	0	6	0	0.35	0	0	0	1	0
11	Andrei Mironov	Winnipeg Jets	D	14	0	2	2	3	0	4	14	5	5	4	0.00%	9	271	19.40	0	0	0	0	17	0	0	0	0	29	0	0	0.00%	0	3	12	0	0.15	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				139	42	57	99	8	42	116	171	362	103	214	11.60%	71	2696	19.40	9	13	22	44	182	2	4	6	9	215	6	3	48.97%	727	78	74	2	0.73	1	5	8	6	3

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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
1	Thomas Greiss	Rockets (WIN)	15	10	5	0	0.889	3.19	904	0	0	48	432	227	1	0	1.000	4	15	0	1	0	2
Stats d'équipe Total ou en Moyenne			15	10	5	0	0.889	3.19	904	0	0	48	432	227	1	0	1.000	4	15	0	1	0	2

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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
Anton Khudobin	Rockets (WIN)	G	37	1986-05-07	No	210 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	750,000$	0$	0$	No
Carter Rowney	Rockets (WIN)	LW	34	1989-05-10	No	208 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Dustin Brown	Rockets (WIN)	LW	39	1983-11-04	No	205 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	3,200,000$	0$	0$	No
Jake Muzzin	Rockets (WIN)	D	34	1989-02-21	No	227 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	5,000,000$	0$	0$	No
Johan Larsson	Rockets (WIN)	C	31	1992-07-25	No	206 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	1,400,000$	0$	0$	No
Mitchell Stephens	Rockets (WIN)	C	26	1997-02-05	No	190 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	850,000$	0$	0$	No
Paul Stastny	Rockets (WIN)	RW	37	1985-12-27	No	193 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	4,750,000$	0$	0$	No
Sven Andrighetto	Rockets (WIN)	LW	29	1993-10-12	No	188 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	700,000$	0$	0$	No
Thomas Greiss	Rockets (WIN)	G	37	1986-01-29	No	219 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	1,200,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
9	33.78	205 Lbs	6 ft0	2.33	2,072,222$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dustin Brown	Johan Larsson		35	1	2	2
2	Carter Rowney	Mitchell Stephens		30	1	2	2
3				25	1	2	2
4		Dustin Brown	Carter Rowney	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Muzzin		35	1	2	2
2			30	1	2	2
3			25	1	2	2
4	Jake Muzzin		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dustin Brown	Johan Larsson		55	1	2	2
2	Carter Rowney	Mitchell Stephens		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Muzzin		55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dustin Brown		55	1	2	2
2	Carter Rowney		45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Muzzin		55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Brown	55	1	2	2	Jake Muzzin		55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dustin Brown		55	1	2	2
2	Carter Rowney		45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jake Muzzin		55	1	2	2
2			45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dustin Brown	Johan Larsson		Jake Muzzin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dustin Brown	Johan Larsson		Jake Muzzin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Johan Larsson, Mitchell Stephens,	Johan Larsson, Mitchell Stephens

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Jake Muzzin,		Jake Muzzin,

Tirs de Pénalité
Dustin Brown, , Carter Rowney, , Johan Larsson

Gardien
#1 : Thomas Greiss, #2 : Anton Khudobin

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	Farmers	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	15	24	0	0	12	22	22	1	72	113	160	177	4	67	23	18	16	4	0	0.00%	10	2	80.00%	1	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
2	Grizzlies	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	15	23	0	0	12	22	22	1	80	113	160	177	4	69	22	14	39	5	3	60.00%	7	2	71.43%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
3	Marlies	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	8	15	23	0	0	12	22	22	1	58	113	160	177	4	47	9	8	26	0	0	0.00%	4	0	100.00%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
4	Marmots	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	8	14	0	0	12	22	22	1	37	113	160	177	4	42	11	12	11	3	1	33.33%	6	3	50.00%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
5	Smirnoff Ice	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	10	15	0	0	12	22	22	1	52	113	160	177	4	71	21	16	28	4	2	50.00%	8	2	75.00%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
6	Thugs	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	12	22	22	1	24	113	160	177	4	28	4	4	18	3	0	0.00%	2	1	50.00%	1	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
7	TigersCats	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	12	19	0	0	12	22	22	1	50	113	160	177	4	41	14	10	25	8	3	37.50%	5	2	60.00%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
	Total	15	9	5	0	0	0	1	0	57	48	9	7	5	2	0	0	0	0	0	29	22	7	8	4	3	0	0	0	1	0	28	26	2	20	0.667	57	100	157	0	0	12	22	22	1	450	113	160	177	4	432	132	105	196	34	11	32.35%	51	13	74.51%	2	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
9	Vipers	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	12	22	22	1	18	113	160	177	4	8	5	4	12	1	0	0.00%	2	0	100.00%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
10	Warriors	2	2	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	2	3	4	1.000	12	22	34	0	0	12	22	22	1	59	113	160	177	4	59	23	19	21	6	2	33.33%	7	1	85.71%	0	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
	_Since Last GM Reset	15	9	5	0	0	0	1	0	57	48	9	7	5	2	0	0	0	0	0	29	22	7	8	4	3	0	0	0	1	0	28	26	2	20	0.667	57	100	157	0	0	12	22	22	1	450	113	160	177	4	432	132	105	196	34	11	32.35%	51	13	74.51%	2	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
	_Vs Conference	13	9	3	0	0	0	1	0	55	43	12	6	5	1	0	0	0	0	0	29	20	9	7	4	2	0	0	0	1	0	26	23	3	20	0.769	55	97	152	0	0	12	22	22	1	408	113	160	177	4	396	123	97	166	30	11	36.67%	47	12	74.47%	1	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
	_Vs Division	13	9	3	0	0	0	1	0	55	43	12	6	5	1	0	0	0	0	0	29	20	9	7	4	2	0	0	0	1	0	26	23	3	20	0.769	55	97	152	0	0	12	22	22	1	408	113	160	177	4	396	123	97	166	30	11	36.67%	47	12	74.47%	1	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132

			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
15	20	W2	57	100	157	450	432	132	105	196	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	9	5	0	0	1	0	57	48

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	2	0	0	0	0	29	22

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	3	0	0	1	0	28	26

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	2	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
34	11	32.35%	51	13	74.51%	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
113	160	177	4	12	22	22	1

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
145	290	50.00%	150	295	50.85%	114	236	48.31%

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
326	195	303	140	274	132

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 - 2024-04-06	5	Rockets	2	TigersCats	4	L			Sommaire du Match
3 - 2024-04-08	25	Marlies	4	Rockets	6	W			Sommaire du Match
4 - 2024-04-09	41	Rockets	3	Grizzlies	5	L			Sommaire du Match
6 - 2024-04-11	49	Rockets	6	Marmots	5	W	X	X	Sommaire du Match
7 - 2024-04-12	59	Vipers	2	Rockets	0	L			Sommaire du Match
9 - 2024-04-14	82	TigersCats	2	Rockets	5	W			Sommaire du Match
10 - 2024-04-15	100	Farmers	1	Rockets	4	W			Sommaire du Match
12 - 2024-04-17	117	Rockets	5	Farmers	4	W			Sommaire du Match
13 - 2024-04-18	130	Grizzlies	4	Rockets	5	W			Sommaire du Match
14 - 2024-04-19	144	Rockets	2	Marlies	1	W			Sommaire du Match
15 - 2024-04-20	155	Rockets	3	Smirnoff Ice	2	W			Sommaire du Match
17 - 2024-04-22	173	Smirnoff Ice	6	Rockets	2	L			Sommaire du Match
18 - 2024-04-23	187	Rockets	2	Thugs	3	L			Sommaire du Match
19 - 2024-04-24	197	Rockets	5	Warriors	2	W			Sommaire du Match
20 - 2024-04-25	213	Warriors	3	Rockets	7	W			Sommaire du Match
22 - 2024-04-27	234	Rockets	-	Grizzlies	-
23 - 2024-04-28	245	Scorpions	-	Rockets	-
25 - 2024-04-30	268	CoolFm	-	Rockets	-
27 - 2024-05-02	284	Rockets	-	Snowbirds	-
28 - 2024-05-03	296	Rockets	-	Marlies	-
29 - 2024-05-04	307	Snowbirds	-	Rockets	-
31 - 2024-05-06	326	Rockets	-	Goons	-
32 - 2024-05-07	336	Thugs	-	Rockets	-
34 - 2024-05-09	363	Supreme	-	Rockets	-
35 - 2024-05-10	375	Rockets	-	CoolFm	-
37 - 2024-05-12	389	Goons	-	Rockets	-
38 - 2024-05-13	409	TigersCats	-	Rockets	-
40 - 2024-05-15	422	Rockets	-	Chiwawa	-
42 - 2024-05-17	439	Rockets	-	Igloos	-
43 - 2024-05-18	454	Igloos	-	Rockets	-
44 - 2024-05-19	467	Rockets	-	Xpress	-
45 - 2024-05-20	481	Warriors	-	Rockets	-
47 - 2024-05-22	502	Rockets	-	Barracudas	-
48 - 2024-05-23	510	Rockets	-	Outlaws	-
49 - 2024-05-24	526	Chiwawa	-	Rockets	-
50 - 2024-05-25	538	Rockets	-	Predateurs	-
52 - 2024-05-27	558	Outlaws	-	Rockets	-
54 - 2024-05-29	577	Hunters	-	Rockets	-
56 - 2024-05-31	594	Rockets	-	Wolves	-
57 - 2024-06-01	609	Smirnoff Ice	-	Rockets	-
58 - 2024-06-02	614	Rockets	-	Marmots	-
59 - 2024-06-03	630	Rockets	-	Thugs	-
61 - 2024-06-05	647	Xpress	-	Rockets	-
63 - 2024-06-07	673	Grizzlies	-	Rockets	-
64 - 2024-06-08	685	Rockets	-	Saguenéens	-
66 - 2024-06-10	701	Rockets	-	Vandals	-
67 - 2024-06-11	709	Rockets	-	Bayou	-
68 - 2024-06-12	721	Spartans	-	Rockets	-
69 - 2024-06-13	743	Vandals	-	Rockets	-
70 - 2024-06-14	754	Rockets	-	Scorpions	-
71 - 2024-06-15	766	Rockets	-	Farmers	-
72 - 2024-06-16	775	Marlies	-	Rockets	-
74 - 2024-06-18	801	Farmers	-	Rockets	-
76 - 2024-06-20	823	Bayou	-	Rockets	-
77 - 2024-06-21	843	Twins	-	Rockets	-
79 - 2024-06-23	858	Rockets	-	Raptors	-
80 - 2024-06-24	873	Rockets	-	Supreme	-
81 - 2024-06-25	880	Rockets	-	Warriors	-
83 - 2024-06-27	893	Predateurs	-	Rockets	-
85 - 2024-06-29	917	Rockets	-	Husky	-
86 - 2024-06-30	927	Vipers	-	Rockets	-
88 - 2024-07-02	947	Rockets	-	Vipers	-
89 - 2024-07-03	957	Bandits	-	Rockets	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04	966	Rockets	-	Smirnoff Ice	-
91 - 2024-07-05	981	Rockets	-	Spartans	-
92 - 2024-07-06	992	Wolves	-	Rockets	-
93 - 2024-07-07	1011	Rockets	-	Hunters	-
95 - 2024-07-09	1023	Saguenéens	-	Rockets	-
97 - 2024-07-11	1048	Barracudas	-	Rockets	-
100 - 2024-07-14	1074	Husky	-	Rockets	-
103 - 2024-07-17	1097	Marmots	-	Rockets	-
104 - 2024-07-18	1105	Rockets	-	TigersCats	-
105 - 2024-07-19	1120	Rockets	-	Twins	-
106 - 2024-07-20	1124	Rockets	-	Bandits	-
109 - 2024-07-23	1147	Raptors	-	Rockets	-
112 - 2024-07-26	1169	Marmots	-	Rockets	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	14,000	7,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
31	3000 - 100.00%	102,000$	714,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
476,501$	1,865,000$	1,865,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	383,589$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
3,162,000$	92	20,929$	1,925,468$

Afficher ou Masquer des Colonnes

	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
Saison Régulière
45	82	37	30	0	3	7	2	3	280	257	23	41	20	14	0	1	1	2	3	146	131	15	41	17	16	0	2	6	0	0	134	126	8	94	280	508	788	2	4	40	113	122	7	2087	406	717	949	37	1986	635	832	1058	230	53	23.04%	273	65	76.19%	5	718	1368	52.49%	686	1368	50.15%	654	1285	50.89%	2213	1599	1622	581	1123	562
46	82	43	29	0	3	6	0	1	258	242	16	41	23	12	0	1	5	0	0	124	111	13	41	20	17	0	2	1	0	1	134	131	3	99	258	480	738	1	3	38	95	122	3	1975	444	672	848	14	1998	750	925	1058	254	49	19.29%	276	76	72.46%	13	598	1369	43.68%	653	1419	46.02%	575	1244	46.22%	2125	1492	1636	611	1179	587
47	15	9	5	0	0	0	1	0	57	48	9	7	5	2	0	0	0	0	0	29	22	7	8	4	3	0	0	0	1	0	28	26	2	20	57	100	157	0	0	12	22	22	1	450	113	160	177	4	432	132	105	196	34	11	32.35%	51	13	74.51%	2	145	290	50.00%	150	295	50.85%	114	236	48.31%	326	195	303	140	274	132
Total Saison Régulière	179	89	64	0	6	13	3	4	595	547	48	89	48	28	0	2	6	2	3	299	264	35	90	41	36	0	4	7	1	1	296	283	13	213	595	1088	1683	3	7	90	230	266	11	4512	963	1549	1974	55	4416	1517	1862	2312	518	113	21.81%	600	154	74.33%	20	1461	3027	48.27%	1489	3082	48.31%	1343	2765	48.57%	4665	3287	3562	1333	2577	1282
Séries
45	7	3	4	0	0	0	0	0	20	19	1	3	2	1	0	0	0	0	0	12	8	4	4	1	3	0	0	0	0	0	8	11	-3	6	20	39	59	0	0	2	7	9	2	184	29	81	60	14	184	69	113	83	30	5	16.67%	29	10	65.52%	0	72	141	51.06%	64	130	49.23%	56	114	49.12%	230	173	108	55	105	50
Total Séries	7	3	4	0	0	0	0	0	20	19	1	3	2	1	0	0	0	0	0	12	8	4	4	1	3	0	0	0	0	0	8	11	-3	6	20	39	59	0	0	2	7	9	2	184	29	81	60	14	184	69	113	83	30	5	16.67%	29	10	65.52%	0	72	141	51.06%	64	130	49.23%	56	114	49.12%	230	173	108	55	105	50

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