OTHL - Rocket

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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	SP
1	Curtis McKenzie		X			100.00	71	76	58	70	76	78	82	66	50	63	63	67	60	60	61	66	50	65	0
2	Henrik Borgstrom (R)	X	X			100.00	59	41	97	84	71	62	76	66	72	65	70	59	25	48	48	69	50	64	0
3	Kalle Kossila	X	X			100.00	72	64	89	69	64	72	74	65	80	62	64	64	61	46	46	67	50	63	0
4	Adam Tambellini (R)	X				100.00	81	76	91	64	76	80	86	58	73	55	57	66	54	45	45	63	50	62	0
5	Matt Luff (R)			X		100.00	65	62	91	64	72	59	84	60	31	59	75	55	25	47	47	67	50	61	0
6	Jonny Brodzinski			X		100.00	83	45	94	73	78	56	60	59	44	58	68	58	25	48	48	66	50	61	0
7	Vladislav Kamenev	X	X			100.00	73	43	87	80	72	53	48	62	67	61	59	65	25	46	46	64	50	61	0
8	Sheldon Rempal (R)		X	X		100.00	65	56	86	70	56	68	69	64	50	62	62	60	59	44	44	64	50	60	0
9	Ryan Lomberg		X			100.00	70	71	66	67	71	74	79	58	50	54	58	61	55	44	44	60	50	59	0
10	Alex Schoenborn (R)			X		100.00	74	72	78	62	72	62	66	48	50	45	45	60	43	44	44	53	50	54	0
11	Austen Brassard (R)			X		100.00	73	70	81	60	70	60	64	49	50	45	47	60	45	44	44	54	50	54	0
12	Jacob MacDonald				X	100.00	78	74	88	70	74	83	90	58	25	49	52	66	49	49	49	62	50	65	0
13	Brian Lashoff				X	100.00	83	82	85	68	82	73	80	50	25	43	39	70	37	63	64	55	50	64	0
14	T.J. Brennan				X	100.00	76	78	70	64	78	74	79	58	25	56	46	64	44	45	45	59	50	62	0
15	Michael Kapla				X	100.00	79	73	92	65	73	75	82	51	25	47	40	63	38	44	44	55	50	61	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	73	66	84	69	72	69	75	58	48	55	56	63	43	48	48	62	50	61

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Alex Nedeljkovic	100.00	67	80	99	70	63	70	64	72	66	66	30	44	44	68	50	66	0
2	Chad Johnson	100.00	48	57	58	79	50	45	44	51	54	48	84	62	62	50	50	54	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	58	69	79	75	57	58	54	62	60	57	57	53	53	59	50	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Blashill	70	61	68	84	73	52	68	USA	42	2	850,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Kalle Kossila	Rocket (MTL)	C/LW	76	48	77	125	97	44	0	106	140	307	94	222	15.64%	6	1556	20.47	8	12	20	41	209	1	3	4	11	223	8	2	77.17%	1397	0	3	1.61	4	4	0	0	0	6	14	5
2	Sheldon Rempal	Rocket (MTL)	LW/RW	82	53	67	120	101	33	5	54	126	355	92	241	14.93%	9	1439	17.55	4	3	7	17	83	0	1	1	4	81	12	2	56.99%	93	0	1	1.67	1	2	0	0	1	7	7	8
3	Vladislav Kamenev	Rocket (MTL)	C/LW	82	36	76	112	90	48	0	108	103	303	60	220	11.88%	16	1516	18.49	7	14	21	37	200	1	3	4	8	129	6	0	75.00%	168	0	0	1.48	0	0	0	0	0	9	5	7
4	Curtis McKenzie	Rocket (MTL)	LW	62	49	58	107	83	80	10	181	137	294	74	221	16.67%	11	1477	23.84	6	7	13	39	172	0	0	0	13	237	7	1	67.84%	765	0	4	1.45	1	4	0	0	1	14	6	6
5	Adam Tambellini	Rocket (MTL)	C	82	44	59	103	106	71	5	154	147	284	92	207	15.49%	13	1447	17.65	1	3	4	7	68	3	0	3	13	191	3	0	72.58%	1149	0	1	1.42	0	2	1	0	0	4	8	2
6	Ryan Lomberg	Rocket (MTL)	LW	82	28	72	100	124	80	0	146	62	191	45	123	14.66%	23	1375	16.77	2	1	3	9	38	0	0	0	1	21	5	0	63.75%	160	0	1	1.45	0	1	0	0	0	5	2	7
7	Henrik Borgstrom	Rocket (MTL)	C/LW	60	32	63	95	81	0	0	9	120	252	53	164	12.70%	9	1268	21.14	1	11	12	23	157	3	1	4	20	248	4	0	69.38%	1104	0	1	1.50	0	4	0	0	0	6	7	3
8	Matt Luff	Rocket (MTL)	RW	82	51	41	92	96	16	0	46	35	276	92	245	18.48%	7	1407	17.17	6	10	16	23	210	0	0	0	0	18	7	1	50.70%	71	0	0	1.31	0	0	0	0	0	4	5	9
9	Jonny Brodzinski	Rocket (MTL)	RW	82	49	43	92	93	49	5	121	69	277	63	196	17.69%	11	1490	18.18	6	5	11	30	214	1	1	2	1	94	5	0	64.22%	109	1	4	1.23	0	2	0	1	0	8	1	7
10	T.J. Brennan	Rocket (MTL)	D	82	12	65	77	84	117	25	168	41	84	33	55	14.29%	41	1715	20.92	5	10	15	43	223	0	1	1	2	265	2	2	100.00%	1	0	1	0.90	0	0	3	0	2	2	3	3
11	Austen Brassard	Rocket (MTL)	RW	82	30	38	68	100	52	10	82	30	154	43	120	19.48%	10	1320	16.10	0	1	1	3	39	0	0	0	0	20	3	2	59.09%	66	0	1	1.03	0	1	0	1	0	1	6	2
12	Jacob MacDonald	Rocket (MTL)	D	67	8	51	59	76	28	0	80	48	112	35	80	7.14%	49	1607	23.99	3	8	11	56	195	1	1	2	2	266	1	0	0.00%	0	0	0	0.73	1	1	0	0	0	0	1	2
13	Brian Lashoff	Rocket (MTL)	D	69	9	42	51	84	85	5	136	27	94	23	57	9.57%	39	1572	22.78	2	7	9	34	201	0	2	2	2	233	1	0	0.00%	0	0	0	0.65	0	0	1	0	0	1	1	1
14	Alex Schoenborn	Rocket (MTL)	RW	82	7	36	43	127	57	5	110	24	60	18	52	11.67%	24	1342	16.37	0	1	1	0	37	0	0	0	1	1	2	0	76.03%	121	0	0	0.64	0	0	0	1	0	0	2	2
15	Michael Kapla	Rocket (MTL)	D	82	7	35	42	86	60	0	110	37	83	19	46	8.43%	55	1715	20.92	6	7	13	31	218	0	2	2	2	274	0	0	0.00%	0	0	0	0.49	0	0	0	0	0	0	0	1
Stats d'équipe Total ou en Moyenne				1154	463	823	1286	1428	820	70	1611	1146	3126	836	2249	14.81%	323	22252	19.28	57	100	157	393	2271	10	15	25	80	2307	66	10	71.41%	5204	1	17	1.16	7	21	5	3	4	67	68	65

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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	A	PS %	PSA	ST	BG	S2	S3
1	Alex Nedeljkovic	Rocket (MTL)	82	70	9	3	0.893	1.60	4923	2	17	131	1227	3	0.826	23	82	0	1	2
2	Chad Johnson	Rocket (MTL)	1	0	0	0	0.923	2.50	24	0	0	1	13	0	0.000	0	0	82	0	0
Stats d'équipe Total ou en Moyenne			83	70	9	3	0.894	1.60	4948	2	17	132	1240	3	0.826	23	82	82	1	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	Link
Adam Tambellini	Rocket (MTL)	C	25	1994-10-31	Yes	195 Lbs	6 ft5	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Alex Nedeljkovic	Rocket (MTL)	G	24	1996-01-07	No	189 Lbs	6 ft0	No	No	No	1	Pro & Farm	894,167$	0$	0$	No			Lien
Alex Schoenborn	Rocket (MTL)	RW	24	1995-12-11	Yes	196 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Austen Brassard	Rocket (MTL)	RW	27	1993-01-13	Yes	188 Lbs	6 ft2	No	No	No	3	Pro & Farm	625,000$	0$	0$	No	625,000$	625,000$	Lien
Brian Lashoff	Rocket (MTL)	D	29	1990-07-15	No	221 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Chad Johnson	Rocket (MTL)	G	33	1986-06-09	No	197 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Curtis McKenzie	Rocket (MTL)	LW	29	1991-02-22	No	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	Lien
Henrik Borgstrom	Rocket (MTL)	C/LW	22	1997-08-06	Yes	185 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$	1,491,666$	Lien
Jacob MacDonald	Rocket (MTL)	D	27	1993-02-26	No	207 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien
Jonny Brodzinski	Rocket (MTL)	RW	26	1993-06-19	No	218 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Kalle Kossila	Rocket (MTL)	C/LW	27	1993-04-14	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Matt Luff	Rocket (MTL)	RW	22	1997-05-04	Yes	188 Lbs	6 ft3	No	No	No	2	Pro & Farm	676,666$	0$	0$	No	676,666$		Lien
Michael Kapla	Rocket (MTL)	D	25	1994-09-19	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Ryan Lomberg	Rocket (MTL)	LW	25	1994-12-09	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$		Lien
Sheldon Rempal	Rocket (MTL)	LW/RW	24	1995-08-06	Yes	154 Lbs	5 ft10	Yes	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien
T.J. Brennan	Rocket (MTL)	D	31	1989-04-03	No	216 Lbs	6 ft1	Yes	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	Lien
Vladislav Kamenev	Rocket (MTL)	C/LW	23	1996-08-12	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	833,333$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	26.06	195 Lbs	6 ft1	2.06	890,931$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Curtis McKenzie	Henrik Borgstrom	Jonny Brodzinski	40	1	2	2
2	Vladislav Kamenev	Kalle Kossila	Matt Luff	30	1	2	2
3	Sheldon Rempal	Adam Tambellini	Austen Brassard	20	1	2	2
4	Ryan Lomberg	Curtis McKenzie	Alex Schoenborn	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Brian Lashoff	40	1	2	2
2	T.J. Brennan	Michael Kapla	30	1	2	2
3	Ryan Lomberg	Alex Schoenborn	20	1	2	2
4	Jacob MacDonald	Brian Lashoff	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Curtis McKenzie	Henrik Borgstrom	Jonny Brodzinski	60	1	2	2
2	Vladislav Kamenev	Kalle Kossila	Matt Luff	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Brian Lashoff	60	1	2	2
2	T.J. Brennan	Michael Kapla	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Curtis McKenzie	Henrik Borgstrom	60	1	2	2
2	Kalle Kossila	Adam Tambellini	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Brian Lashoff	60	1	2	2
2	T.J. Brennan	Michael Kapla	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Curtis McKenzie	60	1	2	2	Jacob MacDonald	Brian Lashoff	60	1	2	2
2	Henrik Borgstrom	40	1	2	2	T.J. Brennan	Michael Kapla	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Curtis McKenzie	Henrik Borgstrom	60	1	2	2
2	Kalle Kossila	Adam Tambellini	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob MacDonald	Brian Lashoff	60	1	2	2
2	T.J. Brennan	Michael Kapla	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Curtis McKenzie	Henrik Borgstrom	Jonny Brodzinski	Jacob MacDonald	Brian Lashoff

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Curtis McKenzie	Henrik Borgstrom	Jonny Brodzinski	Jacob MacDonald	Brian Lashoff

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sheldon Rempal, Austen Brassard, Vladislav Kamenev	Sheldon Rempal, Austen Brassard	Vladislav Kamenev

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
T.J. Brennan, Michael Kapla, Jacob MacDonald	T.J. Brennan	Michael Kapla, Jacob MacDonald

Tirs de Pénalité
Curtis McKenzie, Henrik Borgstrom, Kalle Kossila, Adam Tambellini, Vladislav Kamenev

Gardien
#1 : Alex Nedeljkovic, #2 : Chad Johnson

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	4	2	1	0	0	0	0	1	8	8	0	2	1	1	0	0	0	0	0	4	4	0	2	1	0	0	0	0	0	1	4	4	0	5	0.625	8	15	23	0	0	228	138	98	8	119	1069	1051	1007	32	69	21	36	82	16	1	6.25%	18	2	88.89%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
2	Admirals	2	2	0	0	0	0	0	0	16	2	14	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	9	1	8	4	1.000	16	24	40	0	0	228	138	98	8	76	1069	1051	1007	32	16	8	16	45	4	0	0.00%	8	0	100.00%	2	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
3	Barracudas	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	4	1.000	11	21	32	0	0	228	138	98	8	113	1069	1051	1007	32	17	6	12	48	12	2	16.67%	4	1	75.00%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
4	Bears	3	3	0	0	0	0	0	0	22	3	19	1	1	0	0	0	0	0	0	8	1	7	2	2	0	0	0	0	0	0	14	2	12	6	1.000	22	40	62	0	1	228	138	98	8	125	1069	1051	1007	32	43	21	18	78	13	0	0.00%	8	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
5	Bruins	4	3	1	0	0	0	0	0	14	6	8	2	1	1	0	0	0	0	0	5	5	0	2	2	0	0	0	0	0	0	9	1	8	6	0.750	14	28	42	0	1	228	138	98	8	141	1069	1051	1007	32	41	11	36	74	25	2	8.00%	18	1	94.44%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
6	Checkers	3	0	3	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	1	4	-3	2	0	2	0	0	0	0	0	3	8	-5	0	0.000	4	7	11	0	0	228	138	98	8	68	1069	1051	1007	32	81	18	50	54	8	2	25.00%	20	4	80.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
7	Comets	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	8	12	0	0	228	138	98	8	39	1069	1051	1007	32	34	5	28	23	19	2	10.53%	12	3	75.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
8	Condors	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	13	20	0	0	228	138	98	8	43	1069	1051	1007	32	34	11	28	44	10	0	0.00%	14	2	85.71%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
9	Crunch	4	3	1	0	0	0	0	0	19	6	13	2	1	1	0	0	0	0	0	10	5	5	2	2	0	0	0	0	0	0	9	1	8	6	0.750	19	33	52	0	1	228	138	98	8	151	1069	1051	1007	32	47	11	42	79	14	2	14.29%	21	4	80.95%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
10	Devils	3	3	0	0	0	0	0	0	22	3	19	2	2	0	0	0	0	0	0	13	2	11	1	1	0	0	0	0	0	0	9	1	8	6	1.000	22	40	62	0	0	228	138	98	8	141	1069	1051	1007	32	36	8	10	52	11	3	27.27%	5	1	80.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
11	Eagles	2	2	0	0	0	0	0	0	20	3	17	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	11	3	8	4	1.000	20	36	56	0	1	228	138	98	8	108	1069	1051	1007	32	23	8	20	54	5	1	20.00%	9	0	100.00%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
12	Griffins	4	4	0	0	0	0	0	0	21	7	14	2	2	0	0	0	0	0	0	10	2	8	2	2	0	0	0	0	0	0	11	5	6	8	1.000	21	38	59	0	1	228	138	98	8	161	1069	1051	1007	32	74	13	51	82	14	5	35.71%	22	3	86.36%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
13	Gulls	2	0	1	0	0	1	0	0	4	6	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	1	0.250	4	5	9	0	0	228	138	98	8	53	1069	1051	1007	32	46	8	14	42	7	0	0.00%	7	1	85.71%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
14	Heat	2	1	0	0	0	0	1	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	10	17	0	0	228	138	98	8	38	1069	1051	1007	32	37	8	28	32	8	1	12.50%	13	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
15	IceHogs	2	1	0	0	0	0	1	0	12	6	6	1	0	0	0	0	0	1	0	5	4	1	1	1	0	0	0	0	0	0	7	2	5	4	1.000	12	18	30	0	0	228	138	98	8	70	1069	1051	1007	32	40	6	16	32	9	2	22.22%	8	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
16	Marlies	4	4	0	0	0	0	0	0	26	3	23	2	2	0	0	0	0	0	0	17	2	15	2	2	0	0	0	0	0	0	9	1	8	8	1.000	26	44	70	0	2	228	138	98	8	128	1069	1051	1007	32	62	23	59	72	11	4	36.36%	27	2	92.59%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
17	Monsters	3	2	0	0	0	0	1	0	10	4	6	2	2	0	0	0	0	0	0	7	2	5	1	0	0	0	0	0	1	0	3	2	1	6	1.000	10	15	25	0	0	228	138	98	8	61	1069	1051	1007	32	69	17	43	76	20	3	15.00%	18	1	94.44%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
18	Moose	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	13	21	0	0	228	138	98	8	93	1069	1051	1007	32	30	8	20	46	5	2	40.00%	10	2	80.00%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
19	Penguins	3	3	0	0	0	0	0	0	20	6	14	1	1	0	0	0	0	0	0	8	2	6	2	2	0	0	0	0	0	0	12	4	8	6	1.000	20	36	56	0	0	228	138	98	8	114	1069	1051	1007	32	45	13	21	62	14	4	28.57%	8	1	87.50%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
20	Phantoms	3	2	0	0	0	0	1	0	20	5	15	1	1	0	0	0	0	0	0	5	1	4	2	1	0	0	0	0	1	0	15	4	11	6	1.000	20	31	51	0	1	228	138	98	8	106	1069	1051	1007	32	65	12	32	78	12	2	16.67%	16	2	87.50%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
21	Rampage	2	2	0	0	0	0	0	0	19	3	16	1	1	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	8	0	8	4	1.000	19	36	55	0	1	228	138	98	8	123	1069	1051	1007	32	29	2	15	46	5	2	40.00%	4	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
22	Reign	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	11	1	10	4	1.000	15	28	43	0	0	228	138	98	8	106	1069	1051	1007	32	18	2	21	51	2	1	50.00%	9	0	100.00%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
23	Roadrunners	2	2	0	0	0	0	0	0	15	1	14	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	8	1	7	4	1.000	15	24	39	0	1	228	138	98	8	82	1069	1051	1007	32	23	7	18	40	3	0	0.00%	9	0	100.00%	2	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
24	Senators	4	4	0	0	0	0	0	0	31	3	28	2	2	0	0	0	0	0	0	17	1	16	2	2	0	0	0	0	0	0	14	2	12	8	1.000	31	56	87	0	2	228	138	98	8	192	1069	1051	1007	32	41	10	26	88	8	3	37.50%	13	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
25	Sound Tigers	3	3	0	0	0	0	0	0	28	2	26	2	2	0	0	0	0	0	0	18	1	17	1	1	0	0	0	0	0	0	10	1	9	6	1.000	28	54	82	0	1	228	138	98	8	153	1069	1051	1007	32	27	9	25	57	5	1	20.00%	7	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
26	Stars	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	6	0	6	4	1.000	11	21	32	0	1	228	138	98	8	109	1069	1051	1007	32	21	8	33	31	5	3	60.00%	9	1	88.89%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
27	Thunderbirds	4	3	0	0	0	1	0	0	20	12	8	2	1	0	0	0	1	0	0	9	7	2	2	2	0	0	0	0	0	0	11	5	6	7	0.875	20	37	57	0	0	228	138	98	8	88	1069	1051	1007	32	85	25	77	71	17	6	35.29%	27	3	88.89%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
	Total	82	66	9	0	0	2	4	1	468	133	335	41	33	5	0	0	2	1	0	238	69	169	41	33	4	0	0	0	3	1	230	64	166	143	0.872	468	827	1295	0	17	228	138	98	8	3137	1069	1051	1007	32	1240	329	842	1656	294	57	19.39%	364	36	90.11%	10	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
29	Wild	2	2	0	0	0	0	0	0	18	0	18	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	8	0	8	4	1.000	18	31	49	0	2	228	138	98	8	96	1069	1051	1007	32	17	4	11	28	3	0	0.00%	3	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
30	Wolf Pack	3	3	0	0	0	0	0	0	28	2	26	2	2	0	0	0	0	0	0	20	1	19	1	1	0	0	0	0	0	0	8	1	7	6	1.000	28	49	77	0	1	228	138	98	8	192	1069	1051	1007	32	38	13	12	53	7	3	42.86%	5	0	100.00%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
31	Wolves	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	16	24	0	0	228	138	98	8	48	1069	1051	1007	32	32	13	24	36	2	0	0.00%	12	2	83.33%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
	_Since Last GM Reset	82	66	9	0	0	2	4	1	468	133	335	41	33	5	0	0	2	1	0	238	69	169	41	33	4	0	0	0	3	1	230	64	166	143	0.872	468	827	1295	0	17	228	138	98	8	3137	1069	1051	1007	32	1240	329	842	1656	294	57	19.39%	364	36	90.11%	10	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
	_Vs Conference	50	40	7	0	0	1	2	0	289	80	209	25	20	4	0	0	1	0	0	150	39	111	25	20	3	0	0	0	2	0	139	41	98	85	0.850	289	516	805	0	11	228	138	98	8	1860	1069	1051	1007	32	788	209	530	999	198	42	21.21%	227	25	88.99%	1	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
	_Vs Division	28	20	3	0	0	0	1	0	139	45	94	14	11	2	0	0	0	0	0	72	26	46	14	9	1	0	0	0	1	0	67	19	48	42	0.750	139	251	390	0	7	228	138	98	8	980	1069	1051	1007	32	419	114	327	548	105	23	21.90%	146	15	89.73%	0	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526

			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	143	W5	468	827	1295	3137	1240	329	842	1656	0	17

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	66	9	0	2	4	1	468	133

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	33	5	0	2	1	0	238	69

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	33	4	0	0	3	1	230	64

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
294	57	19.39%	364	36	90.11%	10

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
1069	1051	1007	32	228	138	98	8

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
1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%

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
2770	2176	1292	430	889	526

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 - 2019-10-05	6	Rocket	1	Checkers	3	L			Sommaire du Match
4 - 2019-10-07	29	Rocket	4	Marlies	1	W			Sommaire du Match
8 - 2019-10-11	44	Rocket	1	Americans	2	L	X	X	Sommaire du Match
9 - 2019-10-12	51	Griffins	2	Rocket	6	W			Sommaire du Match
11 - 2019-10-14	69	Rampage	3	Rocket	11	W			Sommaire du Match
14 - 2019-10-17	87	Crunch	1	Rocket	7	W			Sommaire du Match
16 - 2019-10-19	102	Wild	0	Rocket	10	W			Sommaire du Match
18 - 2019-10-21	121	Rocket	8	Rampage	0	W			Sommaire du Match
19 - 2019-10-22	126	Rocket	8	Wild	0	W			Sommaire du Match
23 - 2019-10-26	150	Barracudas	2	Rocket	7	W			Sommaire du Match
25 - 2019-10-28	166	Marlies	0	Rocket	7	W			Sommaire du Match
29 - 2019-11-01	188	Rocket	8	Roadrunners	1	W			Sommaire du Match
30 - 2019-11-02	195	Rocket	4	Wolves	2	W			Sommaire du Match
32 - 2019-11-04	209	Rocket	6	Stars	0	W			Sommaire du Match
35 - 2019-11-07	228	Bruins	1	Rocket	2	W			Sommaire du Match
37 - 2019-11-09	245	Rocket	5	Phantoms	4	W	X	X	Sommaire du Match
39 - 2019-11-11	255	Reign	1	Rocket	4	W			Sommaire du Match
42 - 2019-11-14	275	Monsters	1	Rocket	3	W			Sommaire du Match
45 - 2019-11-17	298	Rocket	8	Bears	0	W			Sommaire du Match
46 - 2019-11-18	306	Devils	1	Rocket	6	W			Sommaire du Match
49 - 2019-11-21	319	Rocket	3	Monsters	2	W	X	X	Sommaire du Match
50 - 2019-11-22	331	Senators	1	Rocket	9	W			Sommaire du Match
53 - 2019-11-25	353	Wolf Pack	1	Rocket	11	W			Sommaire du Match
56 - 2019-11-28	375	Bruins	4	Rocket	3	L			Sommaire du Match
58 - 2019-11-30	390	Devils	1	Rocket	7	W			Sommaire du Match
60 - 2019-12-02	410	Phantoms	1	Rocket	5	W			Sommaire du Match
61 - 2019-12-03	416	Rocket	4	Bruins	0	W			Sommaire du Match
63 - 2019-12-05	427	Sound Tigers	1	Rocket	9	W			Sommaire du Match
65 - 2019-12-07	443	Eagles	0	Rocket	9	W			Sommaire du Match
66 - 2019-12-08	450	Rocket	8	Wolf Pack	1	W			Sommaire du Match
70 - 2019-12-12	480	Rocket	9	Penguins	3	W			Sommaire du Match
71 - 2019-12-13	485	Senators	0	Rocket	8	W			Sommaire du Match
74 - 2019-12-16	507	Griffins	0	Rocket	4	W			Sommaire du Match
77 - 2019-12-19	532	Rocket	2	Comets	3	L			Sommaire du Match
79 - 2019-12-21	541	Rocket	3	Heat	2	W	X	X	Sommaire du Match
81 - 2019-12-23	557	Rocket	2	Condors	1	W			Sommaire du Match
83 - 2019-12-25	581	Rocket	4	Moose	2	W			Sommaire du Match
88 - 2019-12-30	598	Rocket	6	Crunch	0	W			Sommaire du Match
89 - 2019-12-31	607	Rocket	4	Thunderbirds	1	W			Sommaire du Match
91 - 2020-01-02	615	Rocket	2	Checkers	5	L			Sommaire du Match
93 - 2020-01-04	632	Crunch	4	Rocket	3	L			Sommaire du Match
95 - 2020-01-06	647	Penguins	2	Rocket	8	W			Sommaire du Match
97 - 2020-01-08	660	Moose	2	Rocket	4	W			Sommaire du Match
98 - 2020-01-09	666	Rocket	7	Griffins	3	W			Sommaire du Match
100 - 2020-01-11	683	Condors	4	Rocket	5	W			Sommaire du Match
102 - 2020-01-13	697	Rocket	6	Senators	0	W			Sommaire du Match
104 - 2020-01-15	709	Heat	3	Rocket	4	W			Sommaire du Match
106 - 2020-01-17	725	IceHogs	4	Rocket	5	W	X	X	Sommaire du Match
107 - 2020-01-18	736	Rocket	10	Phantoms	0	W			Sommaire du Match
109 - 2020-01-20	748	Wolves	1	Rocket	4	W			Sommaire du Match
118 - 2020-01-29	769	Bears	1	Rocket	8	W			Sommaire du Match
121 - 2020-02-01	783	Rocket	3	Americans	2	W			Sommaire du Match
123 - 2020-02-03	798	Thunderbirds	5	Rocket	4	L	X		Sommaire du Match
124 - 2020-02-04	807	Monsters	1	Rocket	4	W			Sommaire du Match
126 - 2020-02-06	818	Rocket	9	Devils	1	W			Sommaire du Match
128 - 2020-02-08	833	Gulls	3	Rocket	2	L	X		Sommaire du Match
130 - 2020-02-10	847	Marlies	2	Rocket	10	W			Sommaire du Match
132 - 2020-02-12	861	Roadrunners	0	Rocket	7	W			Sommaire du Match
134 - 2020-02-14	877	Rocket	5	Bruins	1	W			Sommaire du Match
136 - 2020-02-16	893	Rocket	3	Penguins	1	W			Sommaire du Match
137 - 2020-02-17	901	Stars	2	Rocket	5	W			Sommaire du Match
140 - 2020-02-20	920	Rocket	4	Griffins	2	W			Sommaire du Match
142 - 2020-02-22	940	Rocket	6	Bears	2	W			Sommaire du Match
144 - 2020-02-24	953	Rocket	8	Senators	2	W			Sommaire du Match
147 - 2020-02-27	974	Comets	3	Rocket	2	L			Sommaire du Match
149 - 2020-02-29	987	Wolf Pack	0	Rocket	9	W			Sommaire du Match
151 - 2020-03-02	1003	Checkers	4	Rocket	1	L			Sommaire du Match
154 - 2020-03-05	1022	Rocket	10	Sound Tigers	1	W			Sommaire du Match
156 - 2020-03-07	1042	Rocket	3	Crunch	1	W			Sommaire du Match
158 - 2020-03-09	1052	Rocket	7	Thunderbirds	4	W			Sommaire du Match
161 - 2020-03-12	1073	Admirals	1	Rocket	7	W			Sommaire du Match
163 - 2020-03-14	1088	Americans	1	Rocket	2	W			Sommaire du Match
166 - 2020-03-17	1109	Rocket	2	Gulls	3	L			Sommaire du Match
168 - 2020-03-19	1125	Rocket	11	Reign	1	W			Sommaire du Match
170 - 2020-03-21	1144	Rocket	4	Barracudas	1	W			Sommaire du Match
172 - 2020-03-23	1156	Rocket	11	Eagles	3	W			Sommaire du Match
175 - 2020-03-26	1178	Americans	3	Rocket	2	L			Sommaire du Match
177 - 2020-03-28	1195	Thunderbirds	2	Rocket	5	W			Sommaire du Match
179 - 2020-03-30	1211	Sound Tigers	0	Rocket	9	W			Sommaire du Match
182 - 2020-04-02	1230	Rocket	7	IceHogs	2	W			Sommaire du Match
183 - 2020-04-03	1240	Rocket	9	Admirals	1	W			Sommaire du Match
186 - 2020-04-06	1270	Rocket	5	Marlies	0	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	75	0
Assistance	53,215	35,441
Assistance PCT	64.90%	86.44%

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	2162 - 72.08%	97,345$	3,991,125$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,295,811$	1,514,584$	1,514,084$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
8,143$	1,445,791$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	12,713$	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	66	9	0	0	2	4	1	468	133	335	41	33	5	0	0	2	1	0	238	69	169	41	33	4	0	0	0	3	1	230	64	166	143	468	827	1295	0	17	228	138	98	8	3137	1069	1051	1007	32	1240	329	842	1656	294	57	19.39%	364	36	90.11%	10	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526
Total Saison Régulière	82	66	9	0	0	2	4	1	468	133	335	41	33	5	0	0	2	1	0	238	69	169	41	33	4	0	0	0	3	1	230	64	166	143	468	827	1295	0	17	228	138	98	8	3137	1069	1051	1007	32	1240	329	842	1656	294	57	19.39%	364	36	90.11%	10	1820	2528	71.99%	1090	1705	63.93%	941	1294	72.72%	2770	2176	1292	430	889	526