LHSRSM - Rocket

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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	Âge	Contrat	Salaire
1	Colin White	X				100.00	58	42	80	73	71	81	84	71	82	74	66	62	73	65	63	0	50	66	0	22	6	4,750,000$
2	Henrik Borgstrom	X				100.00	64	43	86	64	83	80	77	66	73	61	59	63	66	65	62	0	50	63	0	22	1	1,491,666$
3	Jason Robertson		X			100.00	66	46	90	66	85	79	74	63	56	61	61	64	63	61	62	0	50	63	0	20	3	894,167$
4	Rasmus Asplund	X	X			100.00	58	39	82	66	70	81	78	63	72	64	61	65	63	65	66	0	32	63	0	21	2	925,000$
5	Riley Tufte		X			100.00	84	55	85	58	99	85	87	56	52	55	53	62	58	63	62	0	52	62	0	21	3	995,833$
6	Kieffer Bellows		X			100.00	63	50	84	61	76	83	80	59	52	57	60	58	61	63	65	0	50	61	0	21	2	1,106,666$
7	Taro Hirose		X			100.00	56	39	87	64	65	75	71	63	58	64	59	57	63	67	64	0	50	61	0	23	1	1,350,000$
8	Vitaly Abramov		X	X		100.00	56	43	89	63	66	75	74	62	54	60	61	58	65	63	62	0	40	61	0	21	2	880,000$
9	Alexander Chmelevski (R)	X				100.00	55	45	87	60	71	79	78	59	63	61	58	56	59	61	63	0	50	60	0	20	3	927,500$
10	Matthew Phillips			X		100.00	53	39	87	61	57	83	78	62	58	60	59	57	62	63	61	0	50	60	0	21	2	750,000$
11	Shane Gersich		X			100.00	55	49	86	58	70	87	89	56	53	54	55	57	56	67	64	0	50	59	0	23	1	700,000$
12	Adam Boqvist				X	100.00	63	39	88	70	69	76	72	68	30	66	61	59	52	61	62	0	50	64	0	19	3	1,744,167$
13	Kyle Wood				X	100.00	86	55	84	59	99	88	87	58	30	57	54	62	46	67	64	0	50	63	0	23	1	700,000$
14	Sami Niku				X	100.00	58	42	88	66	73	75	69	64	30	65	58	63	54	67	64	0	50	63	0	22	1	916,666$
15	Cal Foote				X	100.00	76	55	86	59	91	89	92	58	30	57	55	60	46	63	62	0	50	62	0	20	2	1,425,000$
16	Kyle Capobianco				X	100.00	61	47	84	64	77	79	73	62	30	63	59	61	55	65	62	0	50	62	0	22	1	894,166$
17	Louie Belpedio				X	100.00	59	49	84	61	72	81	80	62	30	60	59	63	55	67	64	0	50	62	0	23	1	700,000$
Rayé
1	Pavel Shen	X				100.00	58	41	89	56	74	76	75	55	60	53	54	57	56	61	62	0	50	58	0	20	3	925,000$
2	David Quenneville				X	100.00	53	41	87	56	66	73	72	54	30	55	52	53	45	63	62	0	50	57	0	21	2	925,000$

	MOYENNE D'ÉQUIPE					100.00	62	45	86	62	75	80	78	61	50	60	58	60	58	64	63	0	49	62

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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	Cayden Primeau	100.00	77	82	80	83	76	75	77	76	75	77	76	61	65	0	50	66	0
2	Alex Nedeljkovic	100.00	76	70	68	72	75	74	76	75	74	76	75	67	71	0	50	65	0
Rayé
1	Artyom Zagidulin	100.00	72	79	77	76	71	70	72	71	70	72	71	69	73	0	50	64	0

	MOYENNE D'ÉQUIPE	100.00	75	77	75	77	74	73	75	74	73	75	74	66	70	0	50	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Colin White	Rocket (MTL)	C	51	24	43	67	21	14	0	91	230	255	72	166	9.41%	18	1184	23.23	1	6	7	31	106	0	0	0	7	120	2	3	59.45%	1613	0	1	1.13	1	7	0	0	0	4	7	2
2	Henrik Borgstrom	Rocket (MTL)	C	54	27	32	59	11	28	0	91	147	245	55	193	11.02%	12	971	17.98	3	4	7	26	74	1	0	1	5	57	5	0	56.80%	1199	0	1	1.22	1	7	0	0	0	4	1	6
3	Jason Robertson	Rocket (MTL)	LW	54	23	29	52	28	18	0	132	70	176	55	148	13.07%	19	1170	21.68	2	3	5	29	113	0	0	0	6	113	4	0	53.06%	98	1	2	0.89	0	7	0	0	0	7	0	3
4	Matthew Phillips	Rocket (MTL)	RW	54	19	20	39	9	6	0	33	61	196	49	141	9.69%	7	986	18.27	2	3	5	24	113	0	0	0	0	0	1	1	56.16%	73	0	0	0.79	0	0	0	0	0	1	1	1
5	Adam Boqvist	Rocket (MTL)	D	38	7	30	37	14	32	0	71	58	58	16	35	12.07%	38	886	23.33	2	4	6	31	84	0	0	0	1	83	1	0	0.00%	0	1	0	0.83	0	0	0	0	0	0	4	1
6	Kyle Wood	Rocket (MTL)	D	54	9	28	37	19	104	20	203	55	96	32	80	9.38%	75	1138	21.09	2	5	7	41	105	0	0	0	2	106	1	1	0.00%	0	0	0	0.65	0	0	0	3	1	1	4	3
7	Sami Niku	Rocket (MTL)	D	54	5	30	35	15	15	5	68	66	92	25	64	5.43%	79	1216	22.53	0	4	4	36	112	0	0	0	0	122	1	1	0.00%	0	0	0	0.58	0	0	0	0	1	0	1	3
8	Kyle Capobianco	Rocket (MTL)	D	54	5	29	34	14	10	0	43	81	69	12	42	7.25%	77	960	17.79	1	1	2	9	27	0	0	0	0	23	0	1	0.00%	0	0	0	0.71	0	0	0	0	0	2	0	1
9	Louie Belpedio	Rocket (MTL)	D	54	8	24	32	0	2	0	38	63	79	36	56	10.13%	84	1079	19.99	2	4	6	26	72	0	0	0	0	122	0	2	0.00%	0	0	0	0.59	0	0	0	0	0	0	2	1
10	Kieffer Bellows	Rocket (MTL)	LW	54	13	17	30	-1	26	0	86	48	123	23	108	10.57%	10	940	17.42	1	2	3	5	21	0	0	0	0	3	3	0	45.35%	86	0	0	0.64	0	0	0	0	0	0	3	2
11	Riley Tufte	Rocket (MTL)	LW	37	10	15	25	16	39	5	137	44	104	32	70	9.62%	8	715	19.33	2	4	6	23	63	0	1	1	3	54	3	0	39.22%	51	0	0	0.70	0	4	0	0	1	1	4	1
12	Vitaly Abramov	Rocket (MTL)	LW/RW	38	14	11	25	30	8	0	18	43	97	19	54	14.43%	1	662	17.43	3	2	5	21	80	0	0	0	0	0	3	0	51.22%	41	0	0	0.75	0	3	0	0	0	1	3	1
13	Alexander Chmelevski	Rocket (MTL)	C	54	10	11	21	8	19	5	36	96	110	38	71	9.09%	7	867	16.07	0	0	0	0	1	0	0	0	0	38	1	1	51.85%	783	1	0	0.48	0	0	0	0	1	2	1	0
14	Taro Hirose	Rocket (MTL)	LW	54	10	10	20	-8	16	0	40	62	124	36	118	8.06%	11	703	13.03	0	0	0	0	1	0	0	0	1	43	2	0	59.62%	52	0	0	0.57	0	0	0	0	0	0	2	1
15	Cal Foote	Rocket (MTL)	D	54	3	15	18	6	37	5	146	39	42	17	30	7.14%	67	987	18.28	0	1	1	7	36	0	0	0	1	74	0	1	0.00%	0	0	0	0.36	0	0	1	0	0	0	0	0
16	Rasmus Asplund	Rocket (MTL)	C/LW	15	6	9	15	7	6	0	8	51	76	22	57	7.89%	5	307	20.50	2	1	3	14	26	0	0	0	2	37	1	0	57.18%	418	0	0	0.98	1	2	0	0	0	1	0	4
17	Madison Bowey	Canadiens	D	4	2	3	5	6	2	0	7	5	8	4	8	25.00%	6	99	24.77	0	0	0	2	8	0	0	0	0	6	0	1	0.00%	0	0	0	1.01	0	0	0	0	0	0	1	0
18	Shane Gersich	Rocket (MTL)	LW	51	2	3	5	-3	7	5	16	6	13	4	11	15.38%	4	327	6.42	0	0	0	0	0	0	0	0	0	25	0	0	20.69%	29	0	0	0.31	0	0	0	1	0	0	0	0
19	Pavel Shen	Rocket (MTL)	C	13	1	0	1	-7	0	0	3	8	4	1	4	25.00%	0	60	4.63	0	0	0	0	0	0	0	0	0	0	0	0	54.76%	84	0	0	0.33	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				841	198	359	557	185	389	45	1267	1233	1967	548	1456	10.07%	528	15265	18.15	23	44	67	325	1052	1	1	2	28	1032	28	12	56.13%	4527	3	4	0.73	3	30	1	4	4	24	34	30

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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	EG	PS %	PSA	ST	BG	S1	S3
1	Cayden Primeau	Rocket (MTL)	54	28	17	7	0.909	3.03	3187	6	4	161	1776	2	0.667	27	54	0	6	2
2	Alex Nedeljkovic	Rocket (MTL)	3	0	1	1	0.941	2.05	88	0	0	3	51	0	0.800	5	0	54	0	0
Stats d'équipe Total ou en Moyenne			57	28	18	8	0.910	3.00	3276	6	4	164	1827	2	0.687	32	54	54	6	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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Boqvist	Rocket (MTL)	D	19	2000-08-15	No	179 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,744,167$	0$	0$	No	1,744,167$	1,744,167$				Lien
Alex Nedeljkovic	Rocket (MTL)	G	23	1996-01-07	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	737,500$	0$	0$	No	737,500$					Lien / Lien NHL
Alexander Chmelevski	Rocket (MTL)	C	20	1999-06-09	Yes	180 Lbs	6 ft0	No	No	No	3	Pro & Farm	927,500$	0$	0$	No	927,500$	927,500$
Artyom Zagidulin	Rocket (MTL)	G	24	1995-08-08	No	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No						Lien
Cal Foote	Rocket (MTL)	D	20	1998-12-13	No	221 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,425,000$	0$	0$	No	1,425,000$					Lien / Lien NHL
Cayden Primeau	Rocket (MTL)	G	20	1999-08-11	No	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	966,666$	0$	0$	No	966,666$	966,666$				Lien
Colin White	Rocket (MTL)	C	22	1997-01-30	No	191 Lbs	5 ft11	No	No	No	6	Pro & Farm	4,750,000$	0$	0$	No	4,750,000$	4,750,000$	4,750,000$	4,750,000$	4,750,000$	Lien / Lien NHL
David Quenneville	Rocket (MTL)	D	21	1998-03-13	No	189 Lbs	5 ft8	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$					Lien
Henrik Borgstrom	Rocket (MTL)	C	22	1997-08-06	No	199 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,491,666$	0$	0$	No						Lien / Lien NHL
Jason Robertson	Rocket (MTL)	LW	20	1999-07-22	No	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$				Lien
Kieffer Bellows	Rocket (MTL)	LW	21	1998-06-10	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,106,666$	0$	0$	No	1,106,666$					Lien / Lien NHL
Kyle Capobianco	Rocket (MTL)	D	22	1997-08-13	No	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,166$	0$	0$	No						Lien / Lien NHL
Kyle Wood	Rocket (MTL)	D	23	1996-05-04	No	235 Lbs	6 ft7	No	No	No	1	Pro & Farm	700,000$	0$	0$	No						Lien / Lien NHL
Louie Belpedio	Rocket (MTL)	D	23	1996-05-14	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No						Lien / Lien NHL
Matthew Phillips	Rocket (MTL)	RW	21	1998-04-06	No	140 Lbs	5 ft7	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$					Lien / Lien NHL
Pavel Shen	Rocket (MTL)	C	20	1999-08-14	No	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$				Lien
Rasmus Asplund	Rocket (MTL)	C/LW	21	1997-12-03	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$					Lien / Lien NHL
Riley Tufte	Rocket (MTL)	LW	21	1998-04-10	No	235 Lbs	6 ft6	No	No	No	3	Pro & Farm	995,833$	0$	0$	No	995,833$	995,833$				Lien
Sami Niku	Rocket (MTL)	D	22	1996-10-10	No	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	916,666$	0$	0$	No						Lien / Lien NHL
Shane Gersich	Rocket (MTL)	LW	23	1996-07-10	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No						Lien / Lien NHL
Taro Hirose	Rocket (MTL)	LW	23	1996-06-30	No	162 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,350,000$	0$	0$	No						Lien / Lien NHL
Vitaly Abramov	Rocket (MTL)	LW/RW	21	1998-05-08	No	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	880,000$	0$	0$	No	880,000$					Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	21.45	191 Lbs	6 ft1	2.09	1,165,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Robertson	Colin White	Vitaly Abramov	30	1	2	2
2	Riley Tufte	Rasmus Asplund	Matthew Phillips	30	1	2	2
3	Taro Hirose	Henrik Borgstrom	Kieffer Bellows	25	1	2	2
4	Kieffer Bellows	Alexander Chmelevski	Colin White	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Boqvist	Sami Niku	30	1	2	2
2	Kyle Wood	Cal Foote	30	1	2	2
3	Louie Belpedio	Kyle Capobianco	25	1	2	2
4	Adam Boqvist	Sami Niku	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Robertson	Colin White	Vitaly Abramov	60	1	2	2
2	Riley Tufte	Rasmus Asplund	Matthew Phillips	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Boqvist	Sami Niku	60	1	2	2
2	Kyle Wood	Cal Foote	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colin White	Jason Robertson	60	1	2	2
2	Rasmus Asplund	Henrik Borgstrom	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Boqvist	Sami Niku	60	1	2	2
2	Kyle Wood	Cal Foote	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Colin White	60	1	2	2	Adam Boqvist	Sami Niku	60	1	2	2
2	Jason Robertson	40	1	2	2	Kyle Wood	Cal Foote	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Colin White	Jason Robertson	60	1	2	2
2	Rasmus Asplund	Henrik Borgstrom	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Boqvist	Sami Niku	60	1	2	2
2	Kyle Wood	Cal Foote	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jason Robertson	Colin White	Vitaly Abramov	Adam Boqvist	Sami Niku

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jason Robertson	Colin White	Vitaly Abramov	Adam Boqvist	Sami Niku

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Shane Gersich, Taro Hirose, Alexander Chmelevski	Shane Gersich, Taro Hirose	Alexander Chmelevski

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Louie Belpedio, Kyle Capobianco, Kyle Wood	Louie Belpedio	Kyle Capobianco, Kyle Wood

Tirs de Pénalité
Colin White, Jason Robertson, Rasmus Asplund, Henrik Borgstrom, Riley Tufte

Gardien
#1 : Cayden Primeau, #2 : Alex Nedeljkovic

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	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	Admirals	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	80	52	63	5	40	639	631	674	57	30	13	8	34	2	0	0.00%	4	0	100.00%	1	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
2	Americans	2	0	2	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	7	10	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	7	13	20	1	0	80	52	63	5	55	639	631	674	57	67	25	10	52	3	0	0.00%	5	1	80.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
3	Barracuda	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	80	52	63	5	26	639	631	674	57	41	13	2	16	4	0	0.00%	1	1	0.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
4	Bears	3	1	2	0	0	0	0	0	11	10	1	2	0	2	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	5	1	4	2	0.333	11	21	32	0	0	80	52	63	5	138	639	631	674	57	95	28	24	74	5	1	20.00%	11	3	72.73%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
5	Checkers	3	0	2	0	0	0	0	1	10	13	-3	1	0	0	0	0	0	0	1	5	6	-1	2	0	2	0	0	0	0	0	5	7	-2	1	0.167	10	18	28	0	0	80	52	63	5	100	639	631	674	57	105	32	31	52	4	0	0.00%	11	4	63.64%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
6	Condors	1	1	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	19	30	0	0	80	52	63	5	88	639	631	674	57	18	6	0	21	0	0	0.00%	0	0	0.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
7	Crunch	2	2	0	0	0	0	0	0	10	6	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	10	6	4	4	1.000	10	19	29	0	0	80	52	63	5	76	639	631	674	57	70	19	4	46	5	1	20.00%	2	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
8	Devils	3	3	0	0	0	0	0	0	17	8	9	1	1	0	0	0	0	0	0	4	3	1	2	2	0	0	0	0	0	0	13	5	8	6	1.000	17	31	48	0	0	80	52	63	5	100	639	631	674	57	122	46	14	71	6	2	33.33%	6	1	83.33%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
9	Eagles	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	10	15	0	0	80	52	63	5	67	639	631	674	57	28	4	6	25	6	2	33.33%	3	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
10	Griffins	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	0	80	52	63	5	35	639	631	674	57	47	9	4	24	3	1	33.33%	2	1	50.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
11	Gulls	2	1	0	0	0	0	0	1	4	4	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	4	8	12	0	0	80	52	63	5	71	639	631	674	57	74	13	12	37	8	1	12.50%	6	1	83.33%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
12	Heat	2	1	0	0	0	1	0	0	8	7	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	8	15	23	0	0	80	52	63	5	78	639	631	674	57	78	28	14	58	4	2	50.00%	5	1	80.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
13	IceHogs	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	5	9	0	0	80	52	63	5	31	639	631	674	57	30	8	11	23	2	0	0.00%	3	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
14	Marlies	3	2	0	0	0	0	0	1	9	6	3	2	1	0	0	0	0	0	1	6	5	1	1	1	0	0	0	0	0	0	3	1	2	5	0.833	9	17	26	0	0	80	52	63	5	100	639	631	674	57	90	23	39	71	3	0	0.00%	11	1	90.91%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
15	Monsters	2	0	0	0	0	0	0	2	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	2	5	7	-2	2	0.500	5	9	14	0	0	80	52	63	5	75	639	631	674	57	63	18	27	46	8	2	25.00%	5	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
16	Moose	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	80	52	63	5	20	639	631	674	57	46	14	10	24	1	0	0.00%	5	1	80.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
17	Penguins	3	3	0	0	0	0	0	0	19	7	12	1	1	0	0	0	0	0	0	6	0	6	2	2	0	0	0	0	0	0	13	7	6	6	1.000	19	37	56	0	1	80	52	63	5	130	639	631	674	57	102	37	32	68	6	3	50.00%	16	1	93.75%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
18	Phantoms	2	2	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	4	1.000	7	12	19	0	1	80	52	63	5	61	639	631	674	57	80	27	14	55	8	2	25.00%	7	1	85.71%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
19	Rampage	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	2	0	2	2	0.500	3	4	7	0	1	80	52	63	5	56	639	631	674	57	87	25	10	53	4	1	25.00%	5	1	80.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
20	Reign	2	0	1	0	1	0	0	0	4	7	-3	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	4	7	11	0	0	80	52	63	5	57	639	631	674	57	57	18	12	38	7	0	0.00%	6	2	66.67%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
21	Roadrunners	2	0	1	0	0	0	0	1	7	9	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	0	1	5	6	-1	1	0.250	7	14	21	0	0	80	52	63	5	70	639	631	674	57	59	15	29	54	6	0	0.00%	5	3	40.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
22	Senators	3	1	1	0	0	0	0	1	9	11	-2	2	0	1	0	0	0	0	1	6	9	-3	1	1	0	0	0	0	0	0	3	2	1	3	0.500	9	16	25	1	0	80	52	63	5	98	639	631	674	57	86	11	26	70	10	1	10.00%	6	1	83.33%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
23	Sound Tigers	2	0	2	0	0	0	0	0	4	11	-7	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	11	-7	0	0.000	4	6	10	0	0	80	52	63	5	54	639	631	674	57	83	19	16	38	2	1	50.00%	8	1	87.50%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
24	Thunderbirds	4	3	1	0	0	0	0	0	16	10	6	2	2	0	0	0	0	0	0	10	2	8	2	1	1	0	0	0	0	0	6	8	-2	6	0.750	16	27	43	0	1	80	52	63	5	161	639	631	674	57	121	30	22	96	4	1	25.00%	11	2	81.82%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
	Total	54	26	18	0	2	1	0	7	197	173	24	25	12	9	0	1	0	0	3	94	77	17	29	14	9	0	1	1	0	4	103	96	7	64	0.593	197	358	555	2	4	80	52	63	5	1968	639	631	674	57	1829	533	397	1270	127	23	18.11%	154	28	81.82%	1	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
25	Wild	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	80	52	63	5	28	639	631	674	57	23	8	4	24	4	0	0.00%	2	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
26	Wolf Pack	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	80	52	63	5	46	639	631	674	57	47	10	4	35	2	0	0.00%	2	0	100.00%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
27	Wolves	3	1	2	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	8	6	2	2	0.333	9	17	26	0	0	80	52	63	5	107	639	631	674	57	80	34	12	65	10	2	20.00%	6	1	83.33%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
	_Since Last GM Reset	54	26	18	0	2	1	0	7	197	173	24	25	12	9	0	1	0	0	3	94	77	17	29	14	9	0	1	1	0	4	103	96	7	64	0.593	197	358	555	2	4	80	52	63	5	1968	639	631	674	57	1829	533	397	1270	127	23	18.11%	154	28	81.82%	1	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
	_Vs Conference	31	17	11	0	0	0	0	3	121	99	22	16	7	6	0	0	0	0	3	59	51	8	15	10	5	0	0	0	0	0	62	48	14	37	0.597	121	221	342	2	3	80	52	63	5	1119	639	631	674	57	1068	307	236	728	58	12	20.69%	96	16	83.33%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
	_Vs Division	15	8	3	0	0	0	0	2	56	47	9	8	2	3	0	0	0	0	2	29	26	3	7	6	0	0	0	0	0	0	27	21	6	18	0.600	56	102	158	2	1	80	52	63	5	525	639	631	674	57	481	117	105	359	28	4	14.29%	37	6	83.78%	0	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350

			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
54	64	W1	197	358	555	1968	1829	533	397	1270	2	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
54	26	18	2	1	0	7	197	173

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	12	9	1	0	0	3	94	77

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	14	9	1	1	0	4	103	96

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

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
127	23	18.11%	154	28	81.82%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
639	631	674	57	80	52	63	5

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
1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%

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
1381	986	1212	379	688	350

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
2 - 2020-10-06	11	Rocket	5	Thunderbirds	3	W			Sommaire du Match
4 - 2020-10-08	26	Reign	2	Rocket	3	W	X		Sommaire du Match
5 - 2020-10-09	35	Rocket	1	Checkers	2	L			Sommaire du Match
7 - 2020-10-11	52	Rocket	4	Crunch	2	W			Sommaire du Match
9 - 2020-10-13	59	Thunderbirds	0	Rocket	4	W			Sommaire du Match
12 - 2020-10-16	84	Senators	3	Rocket	1	L			Sommaire du Match
14 - 2020-10-18	95	Rocket	5	Devils	2	W			Sommaire du Match
16 - 2020-10-20	112	Bears	4	Rocket	3	L			Sommaire du Match
18 - 2020-10-22	132	Phantoms	2	Rocket	6	W			Sommaire du Match
21 - 2020-10-25	149	Rocket	3	Monsters	4	L	X	X	Sommaire du Match
23 - 2020-10-27	167	Wolf Pack	5	Rocket	2	L			Sommaire du Match
25 - 2020-10-29	177	Rocket	4	Penguins	2	W			Sommaire du Match
27 - 2020-10-31	192	Rocket	3	Sound Tigers	4	L			Sommaire du Match
29 - 2020-11-02	207	Rocket	2	Rampage	0	W			Sommaire du Match
30 - 2020-11-03	214	Marlies	4	Rocket	3	L	X	X	Sommaire du Match
32 - 2020-11-05	232	Rocket	4	Wolves	1	W			Sommaire du Match
34 - 2020-11-07	245	Penguins	0	Rocket	6	W			Sommaire du Match
37 - 2020-11-10	266	Rocket	9	Penguins	5	W			Sommaire du Match
39 - 2020-11-12	276	Rocket	2	Gulls	3	L	X	X	Sommaire du Match
40 - 2020-11-13	282	Thunderbirds	2	Rocket	6	W			Sommaire du Match
42 - 2020-11-15	306	Heat	4	Rocket	6	W			Sommaire du Match
45 - 2020-11-18	326	Rocket	4	Checkers	5	L			Sommaire du Match
46 - 2020-11-19	334	Americans	5	Rocket	4	L			Sommaire du Match
49 - 2020-11-22	355	Rocket	2	Monsters	3	L	X	X	Sommaire du Match
50 - 2020-11-23	366	Checkers	6	Rocket	5	L	X	X	Sommaire du Match
53 - 2020-11-26	383	Rocket	2	Heat	3	L	X		Sommaire du Match
55 - 2020-11-28	398	Wolves	3	Rocket	1	L			Sommaire du Match
57 - 2020-11-30	412	Rocket	1	Sound Tigers	7	L			Sommaire du Match
58 - 2020-12-01	427	Rocket	3	Senators	2	W			Sommaire du Match
60 - 2020-12-03	439	Devils	3	Rocket	4	W			Sommaire du Match
63 - 2020-12-06	459	Condors	2	Rocket	11	W			Sommaire du Match
65 - 2020-12-08	474	Rocket	5	Bears	1	W			Sommaire du Match
67 - 2020-12-10	488	Eagles	4	Rocket	5	W			Sommaire du Match
69 - 2020-12-12	502	Rocket	4	IceHogs	3	W	X		Sommaire du Match
71 - 2020-12-14	515	Rocket	5	Roadrunners	6	L	X	X	Sommaire du Match
72 - 2020-12-15	526	Gulls	1	Rocket	2	W			Sommaire du Match
75 - 2020-12-18	549	Rocket	6	Crunch	4	W			Sommaire du Match
76 - 2020-12-19	555	Americans	5	Rocket	3	L			Sommaire du Match
79 - 2020-12-22	576	Rocket	1	Reign	5	L			Sommaire du Match
80 - 2020-12-23	585	Phantoms	0	Rocket	1	W			Sommaire du Match
83 - 2020-12-26	603	Rocket	2	Moose	5	L			Sommaire du Match
85 - 2020-12-28	617	Roadrunners	3	Rocket	2	L			Sommaire du Match
87 - 2020-12-30	629	Rocket	1	Thunderbirds	5	L			Sommaire du Match
88 - 2020-12-31	645	Bears	5	Rocket	3	L			Sommaire du Match
91 - 2021-01-03	664	Rocket	4	Wolves	5	L			Sommaire du Match
93 - 2021-01-05	679	Marlies	1	Rocket	3	W			Sommaire du Match
95 - 2021-01-07	693	Rocket	3	Marlies	1	W			Sommaire du Match
97 - 2021-01-09	702	Rocket	5	Barracuda	3	W			Sommaire du Match
98 - 2021-01-10	713	Rampage	5	Rocket	1	L			Sommaire du Match
100 - 2021-01-12	729	Rocket	8	Devils	3	W			Sommaire du Match
102 - 2021-01-14	743	Admirals	2	Rocket	4	W			Sommaire du Match
105 - 2021-01-17	767	Rocket	0	Wild	3	L			Sommaire du Match
107 - 2021-01-19	775	Senators	6	Rocket	5	L	X	X	Sommaire du Match
110 - 2021-01-22	799	Rocket	5	Griffins	4	W			Sommaire du Match
111 - 2021-01-23	804	Barracuda	-	Rocket	-
113 - 2021-01-25	820	Rocket	-	Stars	-
115 - 2021-01-27	834	Sound Tigers	-	Rocket	-
118 - 2021-01-30	849	Rocket	-	Rampage	-
120 - 2021-02-01	868	Stars	-	Rocket	-
125 - 2021-02-06	894	Rocket	-	Griffins	-
126 - 2021-02-07	899	Monsters	-	Rocket	-
129 - 2021-02-10	923	Griffins	-	Rocket	-
130 - 2021-02-11	936	Rocket	-	Phantoms	-
134 - 2021-02-15	959	Moose	-	Rocket	-
137 - 2021-02-18	982	Rocket	-	Americans	-
138 - 2021-02-19	990	Comets	-	Rocket	-
141 - 2021-02-22	1014	Wolf Pack	-	Rocket	-
142 - 2021-02-23	1026	Rocket	-	Admirals	-
146 - 2021-02-27	1046	Rocket	-	Wolf Pack	-
147 - 2021-02-28	1054	Crunch	-	Rocket	-
150 - 2021-03-03	1077	Wild	-	Rocket	-
151 - 2021-03-04	1086	Rocket	-	Condors	-
154 - 2021-03-07	1109	IceHogs	-	Rocket	-
156 - 2021-03-09	1125	Rocket	-	Bruins	-
158 - 2021-03-11	1139	Condors	-	Rocket	-
159 - 2021-03-12	1150	Rocket	-	Eagles	-
161 - 2021-03-14	1158	Rocket	-	Bruins	-
163 - 2021-03-16	1174	Bruins	-	Rocket	-
169 - 2021-03-22	1206	Rocket	-	Comets	-
170 - 2021-03-23	1213	Reign	-	Rocket	-
174 - 2021-03-27	1239	Reign	-	Rocket	-
179 - 2021-04-01	1259	Penguins	-	Rocket	-

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	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
16	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,476,554$	2,563,002$	1,148,335$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,476,554$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	72	14,082$	1,013,904$

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
2	82	30	40	0	2	4	3	3	290	279	11	41	19	18	0	0	2	1	1	144	124	20	41	11	22	0	2	2	2	2	146	155	-9	60	290	493	783	1	4	135	86	64	9	2985	1003	953	1003	43	2534	682	609	1276	353	73	20.68%	243	47	80.66%	4	1624	2860	56.78%	1266	2387	53.04%	779	1329	58.62%	2036	1448	1887	594	1036	517
3	82	44	24	0	0	4	3	7	260	193	67	41	21	14	0	0	2	1	3	127	98	29	41	23	10	0	0	2	2	4	133	95	38	88	260	445	705	2	5	106	80	71	4	3123	1006	1018	1067	65	2217	660	954	1540	322	56	17.39%	373	61	83.65%	6	1881	3047	61.73%	1467	2534	57.89%	776	1270	61.10%	2196	1559	1738	578	1045	546
4	82	28	38	0	0	4	9	3	199	234	-35	41	12	21	0	0	3	4	1	99	119	-20	41	16	17	0	0	1	5	2	100	115	-15	56	199	327	526	1	2	74	70	46	14	2120	695	670	738	63	2616	717	1266	1754	566	123	21.73%	490	95	80.61%	1	1247	2725	45.76%	1105	2977	37.12%	481	1186	40.56%	2054	1420	1933	614	1001	504
5	82	6	65	0	1	2	5	3	158	390	-232	41	4	31	0	0	1	3	2	81	185	-104	41	2	34	0	1	1	2	1	77	205	-128	12	158	264	422	0	0	63	51	38	10	2072	665	683	702	51	4019	1185	255	1688	196	55	28.06%	102	34	66.67%	3	625	2124	29.43%	821	3125	26.27%	332	1296	25.62%	1446	998	2586	587	938	403
6	82	2	76	0	0	2	0	2	163	625	-462	41	1	37	0	0	2	0	1	94	310	-216	41	1	39	0	0	0	0	1	69	315	-246	4	163	306	469	0	0	68	45	50	0	2430	830	756	822	27	6396	1873	206	1997	133	13	9.77%	88	24	72.73%	0	659	2143	30.75%	990	3712	26.67%	408	1494	27.31%	1088	713	2962	581	884	338
7	82	35	31	0	8	1	1	6	273	228	45	41	22	15	0	4	0	0	0	142	100	42	41	13	16	0	4	1	1	6	131	128	3	70	273	507	780	2	4	104	90	70	11	3225	1074	1034	1075	66	2655	774	506	1981	235	59	25.11%	231	40	82.68%	3	1923	3273	58.75%	1522	2854	53.33%	699	1282	54.52%	2187	1577	1750	561	1040	544
8	82	45	25	0	2	1	4	5	363	230	133	41	21	14	0	1	1	2	2	174	118	56	41	24	11	0	1	0	2	3	189	112	77	90	363	663	1026	0	7	151	122	84	9	3731	1251	1229	1228	56	2764	783	482	2050	171	36	21.05%	198	36	81.82%	6	1659	3152	52.63%	1329	2793	47.58%	702	1372	51.17%	2292	1722	1698	514	983	515
8	82	45	25	0	2	1	4	5	363	230	133	41	21	14	0	1	1	2	2	174	118	56	41	24	11	0	1	0	2	3	189	112	77	90	363	663	1026	0	7	151	122	84	9	3731	1251	1229	1228	56	2764	783	482	2050	171	36	21.05%	198	36	81.82%	6	1659	3152	52.63%	1329	2793	47.58%	702	1372	51.17%	2292	1722	1698	514	983	515
9	54	26	18	0	2	1	0	7	197	173	24	25	12	9	0	1	0	0	3	94	77	17	29	14	9	0	1	1	0	4	103	96	7	64	197	358	555	2	4	80	52	63	5	1968	639	631	674	57	1829	533	397	1270	127	23	18.11%	154	28	81.82%	1	1068	1929	55.37%	1031	1931	53.39%	487	878	55.47%	1381	986	1212	379	688	350
Total Saison Régulière	710	261	342	0	17	20	29	41	2266	2582	-316	353	133	173	0	7	12	13	15	1129	1249	-120	357	128	169	0	10	8	16	26	1137	1333	-196	534	2266	4026	6292	8	33	932	718	570	71	25385	8414	8203	8537	484	27794	7990	5157	15606	2274	474	20.84%	2077	401	80.69%	30	12345	24405	50.58%	10860	25106	43.26%	5366	11479	46.75%	16976	12150	17467	4925	8600	4235
Séries
2	4	0	4	0	0	0	0	0	10	21	-11	2	0	2	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	5	10	-5	0	10	19	29	0	0	2	6	2	0	105	22	47	35	1	118	35	40	58	8	3	37.50%	9	1	88.89%	0	55	101	54.46%	48	109	44.04%	32	78	41.03%	83	58	104	30	53	24
3	5	1	4	0	0	0	0	0	10	18	-8	3	1	2	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	3	6	-3	2	10	19	29	0	0	5	3	2	0	132	45	58	29	0	160	52	46	107	23	3	13.04%	22	7	68.18%	0	69	175	39.43%	78	179	43.58%	27	79	34.18%	108	70	126	39	65	31
7	5	1	4	0	0	0	0	0	17	22	-5	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	7	12	-5	2	17	28	45	1	0	7	4	6	0	175	60	54	58	3	196	62	26	137	13	2	15.38%	11	4	63.64%	0	79	161	49.07%	88	194	45.36%	36	82	43.90%	120	84	118	35	64	33
8	20	13	7	0	0	0	0	0	73	62	11	10	9	1	0	0	0	0	0	38	27	11	10	4	6	0	0	0	0	0	35	35	0	26	73	133	206	0	0	30	23	18	2	754	216	228	257	53	742	182	133	470	65	16	24.62%	57	17	70.18%	1	441	791	55.75%	380	757	50.20%	169	333	50.75%	533	378	478	151	264	134
Total Séries	34	15	19	0	0	0	0	0	110	123	-13	18	11	7	0	0	0	0	0	60	60	0	16	4	12	0	0	0	0	0	50	63	-13	30	110	199	309	1	0	44	36	28	2	1166	343	387	379	57	1216	331	245	772	109	24	22.02%	99	29	70.71%	1	644	1228	52.44%	594	1239	47.94%	264	572	46.15%	845	591	826	257	448	223