LHSRSM - Sound Tigers

Islanders
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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	Eric Tangradi (C)		X			100.00	69	47	86	60	92	76	69	58	56	59	61	62	58	79	71	0	50	63	0	30	1	650,000$
2	Ryan MacInnis	X				100.00	64	46	89	61	86	75	73	62	68	61	59	63	61	67	64	0	50	63	0	23	1	874,125$
3	Andreas Martinsen (A)		X	X		100.00	73	45	89	60	85	74	75	58	52	57	57	59	60	78	70	0	50	62	0	29	1	750,000$
4	Anthony Angello	X		X		100.00	68	50	86	59	91	78	79	58	53	57	60	61	58	67	64	0	50	62	0	23	1	925,000$
5	Brett Murray		X			100.00	83	47	89	58	97	85	87	57	54	56	55	62	58	63	62	0	50	62	0	21	1	650,000$
6	Nolan Stevens	X	X			100.00	62	45	88	61	80	85	83	60	67	59	56	62	61	67	64	0	50	62	0	23	1	700,000$
7	Rhett Gardner	X	X			100.00	68	46	89	60	88	71	72	58	66	57	59	62	58	67	64	0	50	62	0	23	2	925,000$
8	Gabriel Gagne			X		100.00	68	45	82	60	87	79	80	58	54	57	56	59	60	67	64	0	50	61	0	22	1	650,000$
9	Joona Koppanen	X	X			100.00	69	45	81	57	88	84	82	56	51	53	55	58	56	63	61	0	50	60	0	21	2	910,833$
10	Carl Dahlstrom				X	100.00	57	45	83	59	93	82	71	58	30	63	50	69	46	69	65	0	50	61	0	24	2	850,000$
11	Mark Friedman				X	100.00	58	45	87	60	69	81	79	58	30	59	57	61	50	69	64	0	50	61	0	23	1	825,000$
12	Jake Dotchin (A)				X	100.00	69	53	70	59	85	73	71	58	30	57	57	60	52	71	66	0	50	61	0	25	1	700,000$
13	Nicolas Meloche				X	100.00	71	53	82	58	85	83	81	56	30	55	52	59	45	65	63	0	50	60	0	22	1	925,000$
14	Wiley Sherman				X	100.00	74	50	84	55	92	79	78	56	30	54	51	59	45	69	65	0	50	60	0	24	1	925,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	68	47	85	59	87	79	77	58	48	57	56	61	55	69	65	0	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	Maxime Lagace	100.00	78	67	65	78	77	76	78	77	76	78	77	73	77	0	50	67	0
2	Ukko-Pekka Luukkonen	100.00	72	56	54	86	71	70	72	71	70	72	71	61	65	0	50	63	0
Rayé
1	Colton Point	100.00	61	54	52	93	60	59	61	60	59	61	60	63	67	0	50	58	0

	MOYENNE D'ÉQUIPE	100.00	70	59	57	86	69	68	70	69	68	70	69	66	70	0	50	63

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	Ryan MacInnis	Sound Tigers (NYI)	C	47	26	43	69	13	8	0	68	157	225	72	142	11.56%	15	1130	24.05	4	9	13	33	103	1	0	1	5	135	4	1	56.28%	1679	0	3	1.22	1	11	0	0	0	7	2	3
2	Eric Tangradi	Sound Tigers (NYI)	LW	47	26	27	53	13	16	0	93	67	220	59	134	11.82%	15	1127	23.99	5	3	8	32	103	0	1	1	2	132	3	1	53.85%	78	0	1	0.94	2	11	0	0	0	4	3	4
3	Gabriel Gagne	Sound Tigers (NYI)	RW	47	20	28	48	19	8	0	72	78	183	46	116	10.93%	18	784	16.69	1	0	1	2	3	0	0	0	0	0	0	1	58.18%	55	1	0	1.22	0	0	0	0	0	1	5	0
4	Rhett Gardner	Sound Tigers (NYI)	C/LW	47	20	26	46	20	15	5	50	160	189	56	143	10.58%	16	801	17.05	0	0	0	0	3	0	0	0	0	17	2	0	58.62%	957	0	1	1.15	0	0	0	1	0	2	1	3
5	Carl Dahlstrom	Sound Tigers (NYI)	D	47	6	39	45	9	28	0	100	81	91	38	63	6.59%	79	1144	24.34	0	6	6	39	107	0	0	0	1	109	1	0	0.00%	0	0	0	0.79	0	0	0	0	0	3	3	2
6	Mark Friedman	Sound Tigers (NYI)	D	47	7	34	41	10	20	0	112	63	99	33	56	7.07%	62	1143	24.33	2	7	9	44	108	0	0	0	3	113	1	0	0.00%	0	0	0	0.72	0	0	0	0	0	0	3	2
7	Nolan Stevens	Sound Tigers (NYI)	C/LW	47	20	20	40	12	0	0	19	116	163	63	168	12.27%	12	856	18.23	3	0	3	24	97	0	0	0	0	8	3	2	59.96%	1119	0	0	0.93	1	1	0	0	0	0	2	4
8	Brett Murray	Sound Tigers (NYI)	LW	47	18	20	38	16	51	5	160	80	156	49	136	11.54%	26	1068	22.73	2	2	4	19	96	1	0	1	1	61	4	0	46.59%	176	0	0	0.71	1	9	0	0	1	2	0	1
9	Anthony Angello	Sound Tigers (NYI)	C/RW	47	13	22	35	19	29	5	66	53	142	37	115	9.15%	12	856	18.22	3	5	8	21	100	0	1	1	2	53	0	1	54.41%	68	0	0	0.82	2	4	1	0	0	0	1	3
10	Joona Koppanen	Sound Tigers (NYI)	C/LW	47	20	15	35	9	10	0	69	41	152	47	91	13.16%	11	766	16.31	0	0	0	1	1	0	0	0	2	43	2	0	52.86%	140	0	0	0.91	0	0	0	0	0	4	0	1
11	Andreas Martinsen	Sound Tigers (NYI)	LW/RW	47	11	23	34	9	20	0	68	64	177	65	126	6.21%	6	821	17.47	1	3	4	22	99	0	0	0	0	0	1	0	60.00%	55	0	0	0.83	0	0	0	0	0	1	1	3
12	Jake Dotchin	Sound Tigers (NYI)	D	47	8	24	32	8	56	10	106	52	81	31	55	9.88%	71	965	20.54	2	2	4	31	93	0	2	2	1	88	1	0	0.00%	0	0	0	0.66	0	0	1	0	1	0	2	0
13	Wiley Sherman	Sound Tigers (NYI)	D	47	2	29	31	27	36	0	126	34	41	12	29	4.88%	58	771	16.42	0	0	0	0	1	0	0	0	0	33	1	0	0.00%	0	0	0	0.80	0	0	0	0	0	0	2	0
14	Nicolas Meloche	Sound Tigers (NYI)	D	47	3	15	18	16	18	0	74	38	57	26	46	5.26%	64	946	20.14	0	1	1	17	78	0	0	0	0	102	0	1	100.00%	1	0	0	0.38	0	0	0	0	0	1	0	0
Stats d'équipe Total ou en Moyenne				658	200	365	565	200	315	25	1183	1084	1976	634	1420	10.12%	465	13183	20.04	23	38	61	285	1002	2	4	6	17	902	23	7	57.26%	4328	1	5	0.86	7	36	2	1	2	25	25	26

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Maxime Lagace	Sound Tigers (NYI)	47	28	12	6	0.898	3.39	2671	6	2	151	1484	2	0	0.829	35	47	0	1	2	2
2	Ukko-Pekka Luukkonen	Sound Tigers (NYI)	6	1	0	0	0.956	1.51	199	0	0	5	113	0	1	0.000	0	0	47	0	0	0
Stats d'équipe Total ou en Moyenne			53	29	12	6	0.902	3.26	2870	6	2	156	1597	2	1	0.829	35	47	47	1	2	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
Andreas Martinsen	Sound Tigers (NYI)	LW/RW	29	1990-06-13	No	225 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Anthony Angello	Sound Tigers (NYI)	C/RW	23	1996-03-06	No	210 Lbs	6 ft5	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Brett Murray	Sound Tigers (NYI)	LW	21	1998-07-20	No	236 Lbs	6 ft5	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien
Carl Dahlstrom	Sound Tigers (NYI)	D	24	1995-01-28	No	231 Lbs	6 ft4	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$		Lien / Lien NHL
Colton Point	Sound Tigers (NYI)	G	21	1998-03-04	No	235 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Eric Tangradi	Sound Tigers (NYI)	LW	30	1989-02-10	No	226 Lbs	6 ft4	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Gabriel Gagne	Sound Tigers (NYI)	RW	22	1996-11-11	No	186 Lbs	6 ft5	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Jake Dotchin	Sound Tigers (NYI)	D	25	1994-03-24	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Joona Koppanen	Sound Tigers (NYI)	C/LW	21	1998-02-25	No	192 Lbs	6 ft5	No	No	No	2	Pro & Farm	910,833$	0$	0$	No	910,833$		Lien / Lien NHL
Mark Friedman	Sound Tigers (NYI)	D	23	1995-12-25	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	825,000$	0$	0$	No			Lien / Lien NHL
Maxime Lagace	Sound Tigers (NYI)	G	26	1993-01-12	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Nicolas Meloche	Sound Tigers (NYI)	D	22	1997-07-18	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Nolan Stevens	Sound Tigers (NYI)	C/LW	23	1996-07-22	No	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Rhett Gardner	Sound Tigers (NYI)	C/LW	23	1996-02-28	No	225 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Ryan MacInnis	Sound Tigers (NYI)	C	23	1996-02-14	No	191 Lbs	6 ft4	No	No	No	1	Pro & Farm	874,125$	0$	0$	No			Lien
Ukko-Pekka Luukkonen	Sound Tigers (NYI)	G	20	1999-03-09	No	196 Lbs	6 ft4	No	No	No	3	Pro & Farm	910,833$	0$	0$	No	910,833$	910,833$	Lien / Lien NHL
Wiley Sherman	Sound Tigers (NYI)	D	24	1995-05-24	No	200 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	23.53	208 Lbs	6 ft4	1.35	811,517$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Eric Tangradi	Ryan MacInnis	Anthony Angello	30	1	2	2
2	Brett Murray	Nolan Stevens	Andreas Martinsen	30	1	2	2
3	Joona Koppanen	Rhett Gardner	Gabriel Gagne	25	1	2	2
4	Eric Tangradi	Ryan MacInnis	Brett Murray	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Dahlstrom	Mark Friedman	30	1	2	2
2	Jake Dotchin	Nicolas Meloche	30	1	2	2
3	Wiley Sherman		25	1	2	2
4	Carl Dahlstrom	Mark Friedman	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Eric Tangradi	Ryan MacInnis	Anthony Angello	60	1	2	2
2	Brett Murray	Nolan Stevens	Andreas Martinsen	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Dahlstrom	Mark Friedman	60	1	2	2
2	Jake Dotchin	Nicolas Meloche	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan MacInnis	Eric Tangradi	60	1	2	2
2	Brett Murray	Anthony Angello	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Dahlstrom	Mark Friedman	60	1	2	2
2	Jake Dotchin	Nicolas Meloche	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan MacInnis	60	1	2	2	Carl Dahlstrom	Mark Friedman	60	1	2	2
2	Eric Tangradi	40	1	2	2	Jake Dotchin	Nicolas Meloche	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan MacInnis	Eric Tangradi	60	1	2	2
2	Brett Murray	Anthony Angello	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Dahlstrom	Mark Friedman	60	1	2	2
2	Jake Dotchin	Nicolas Meloche	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Eric Tangradi	Ryan MacInnis	Anthony Angello	Carl Dahlstrom	Mark Friedman

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Eric Tangradi	Ryan MacInnis	Anthony Angello	Carl Dahlstrom	Mark Friedman

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Rhett Gardner, Gabriel Gagne, Joona Koppanen	Rhett Gardner, Gabriel Gagne	Joona Koppanen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Wiley Sherman, Jake Dotchin, Nicolas Meloche	Wiley Sherman	Jake Dotchin, Nicolas Meloche

Tirs de Pénalité
Ryan MacInnis, Eric Tangradi, Brett Murray, Anthony Angello, Nolan Stevens

Gardien
#1 : Maxime Lagace, #2 : Ukko-Pekka Luukkonen

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	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	10	16	0	0	84	60	55	8	57	660	624	668	61	32	5	2	29	5	3	60.00%	1	1	0.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
2	Americans	3	1	1	0	0	0	1	0	11	11	0	2	0	1	0	0	0	1	0	7	10	-3	1	1	0	0	0	0	0	0	4	1	3	4	0.667	11	20	31	0	0	84	60	55	8	117	660	624	668	61	120	31	32	65	6	1	16.67%	14	1	92.86%	1	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
3	Barracuda	2	0	1	0	0	0	1	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	5	4	1	2	0.500	7	12	19	0	0	84	60	55	8	76	660	624	668	61	90	34	12	60	7	1	14.29%	6	4	33.33%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
4	Bears	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	6	1	5	2	0.500	7	14	21	0	0	84	60	55	8	91	660	624	668	61	71	29	16	62	4	0	0.00%	8	1	87.50%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
5	Bruins	2	0	0	0	0	0	0	2	6	8	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0.500	6	10	16	0	0	84	60	55	8	75	660	624	668	61	67	17	6	57	7	1	14.29%	3	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
6	Checkers	3	0	3	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	3	8	-5	0	0.000	5	8	13	0	0	84	60	55	8	116	660	624	668	61	97	35	35	70	6	1	16.67%	13	3	76.92%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
7	Comets	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	10	0	10	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	19	29	0	1	84	60	55	8	90	660	624	668	61	11	3	6	20	2	0	0.00%	3	0	100.00%	1	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
8	Condors	3	3	0	0	0	0	0	0	25	4	21	1	1	0	0	0	0	0	0	10	2	8	2	2	0	0	0	0	0	0	15	2	13	6	1.000	25	45	70	0	1	84	60	55	8	224	660	624	668	61	53	23	10	75	4	2	50.00%	5	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
9	Devils	2	1	0	0	0	1	0	0	10	8	2	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	7	4	3	3	0.750	10	18	28	0	0	84	60	55	8	79	660	624	668	61	75	18	4	49	2	0	0.00%	2	1	50.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
10	Griffins	3	1	1	0	0	0	0	1	10	12	-2	2	1	1	0	0	0	0	0	7	8	-1	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	10	19	29	1	0	84	60	55	8	131	660	624	668	61	91	33	14	85	8	1	12.50%	6	1	83.33%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
11	Gulls	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	84	60	55	8	32	660	624	668	61	35	13	4	20	2	0	0.00%	2	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
12	Heat	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	84	60	55	8	48	660	624	668	61	32	8	4	23	0	0	0.00%	2	1	50.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
13	IceHogs	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	11	17	0	0	84	60	55	8	35	660	624	668	61	38	11	8	17	2	0	0.00%	4	1	75.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
14	Marlies	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	84	60	55	8	38	660	624	668	61	37	13	4	21	2	0	0.00%	2	1	50.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
15	Monsters	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	84	60	55	8	45	660	624	668	61	32	5	6	31	2	0	0.00%	2	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
16	Moose	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	84	60	55	8	28	660	624	668	61	37	8	21	30	3	2	66.67%	3	1	66.67%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
17	Penguins	2	2	0	0	0	0	0	0	15	8	7	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	7	4	3	4	1.000	15	29	44	0	0	84	60	55	8	101	660	624	668	61	79	23	19	49	7	3	42.86%	7	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
18	Rampage	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	84	60	55	8	20	660	624	668	61	37	15	6	21	2	0	0.00%	3	1	66.67%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
19	Reign	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	9	14	0	0	84	60	55	8	34	660	624	668	61	44	14	18	29	2	0	0.00%	8	2	75.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
20	Roadrunners	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	84	60	55	8	35	660	624	668	61	31	7	4	24	3	0	0.00%	2	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
21	Rocket	2	2	0	0	0	0	0	0	11	4	7	2	2	0	0	0	0	0	0	11	4	7	0	0	0	0	0	0	0	0	0	0	0	4	1.000	11	22	33	0	0	84	60	55	8	83	660	624	668	61	54	11	4	40	8	1	12.50%	2	1	50.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
22	Senators	2	0	1	0	0	0	1	0	7	7	0	2	0	1	0	0	0	1	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	10	17	0	0	84	60	55	8	74	660	624	668	61	72	15	20	55	5	0	0.00%	7	1	85.71%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
23	Stars	4	1	0	0	0	0	1	2	14	14	0	1	0	0	0	0	0	0	1	1	2	-1	3	1	0	0	0	0	1	1	13	12	1	6	0.750	14	19	33	0	0	84	60	55	8	136	660	624	668	61	158	47	30	108	18	3	16.67%	14	2	85.71%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
24	Thunderbirds	3	1	1	0	1	0	0	0	12	11	1	1	0	1	0	0	0	0	0	3	4	-1	2	1	0	0	1	0	0	0	9	7	2	4	0.667	12	23	35	0	0	84	60	55	8	111	660	624	668	61	105	26	17	61	7	3	42.86%	5	0	100.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
	Total	47	22	12	0	1	1	6	5	206	162	44	24	10	8	0	0	1	3	2	103	83	20	23	12	4	0	1	0	3	3	103	79	24	64	0.681	206	365	571	1	2	84	60	55	8	1977	660	624	668	61	1598	473	321	1188	122	23	18.85%	131	25	80.92%	2	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
25	Wild	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	16	25	0	0	84	60	55	8	62	660	624	668	61	65	17	10	53	6	1	16.67%	5	1	80.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
26	Wolf Pack	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	84	60	55	8	39	660	624	668	61	35	12	9	34	2	0	0.00%	2	1	50.00%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
	_Since Last GM Reset	47	22	12	0	1	1	6	5	206	162	44	24	10	8	0	0	1	3	2	103	83	20	23	12	4	0	1	0	3	3	103	79	24	64	0.681	206	365	571	1	2	84	60	55	8	1977	660	624	668	61	1598	473	321	1188	122	23	18.85%	131	25	80.92%	2	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
	_Vs Conference	24	10	8	0	1	1	2	2	100	82	18	15	5	6	0	0	1	2	1	61	53	8	9	5	2	0	1	0	0	1	39	29	10	29	0.604	100	184	284	0	1	84	60	55	8	1014	660	624	668	61	823	233	172	583	58	10	17.24%	68	10	85.29%	2	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
	_Vs Division	11	5	5	0	1	0	0	2	47	39	8	6	2	3	0	0	0	0	1	24	22	2	5	3	2	0	1	0	0	1	23	17	6	14	0.636	47	86	133	0	0	84	60	55	8	471	660	624	668	61	389	122	89	295	23	4	17.39%	34	6	82.35%	0	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307

			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
47	64	W2	206	365	571	1977	1598	473	321	1188	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
47	22	12	1	1	6	5	206	162

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	10	8	0	1	3	2	103	83

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	12	4	1	0	3	3	103	79

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	0	1	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
122	23	18.85%	131	25	80.92%	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
660	624	668	61	84	60	55	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
1052	1847	56.96%	951	1678	56.67%	476	810	58.77%

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
1236	883	1039	323	599	307

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
3 - 2020-10-07	17	Gulls	3	Sound Tigers	4	W	X	X	Sommaire du Match
5 - 2020-10-09	33	Marlies	6	Sound Tigers	3	L			Sommaire du Match
7 - 2020-10-11	44	Sound Tigers	7	Penguins	4	W			Sommaire du Match
9 - 2020-10-13	65	Bears	4	Sound Tigers	1	L			Sommaire du Match
10 - 2020-10-14	69	Sound Tigers	7	Devils	4	W			Sommaire du Match
13 - 2020-10-17	87	Sound Tigers	6	Stars	5	W			Sommaire du Match
14 - 2020-10-18	100	Sound Tigers	1	Checkers	5	L			Sommaire du Match
16 - 2020-10-20	115	Senators	3	Sound Tigers	2	L			Sommaire du Match
19 - 2020-10-23	135	Bruins	4	Sound Tigers	3	L	X	X	Sommaire du Match
22 - 2020-10-26	156	Griffins	3	Sound Tigers	4	W			Sommaire du Match
25 - 2020-10-29	178	Sound Tigers	3	Stars	4	L	X	X	Sommaire du Match
27 - 2020-10-31	192	Rocket	3	Sound Tigers	4	W			Sommaire du Match
29 - 2020-11-02	203	Sound Tigers	6	IceHogs	5	W			Sommaire du Match
31 - 2020-11-04	221	Americans	3	Sound Tigers	4	W	X	X	Sommaire du Match
32 - 2020-11-05	231	Sound Tigers	3	Thunderbirds	2	W			Sommaire du Match
35 - 2020-11-08	249	Sound Tigers	10	Condors	2	W			Sommaire du Match
37 - 2020-11-10	260	Wild	3	Sound Tigers	5	W			Sommaire du Match
39 - 2020-11-12	281	Comets	0	Sound Tigers	10	W			Sommaire du Match
41 - 2020-11-14	297	Sound Tigers	4	Stars	3	W	X	X	Sommaire du Match
43 - 2020-11-16	313	Devils	4	Sound Tigers	3	L	X		Sommaire du Match
45 - 2020-11-18	324	Sound Tigers	6	Bears	1	W			Sommaire du Match
47 - 2020-11-20	342	Sound Tigers	5	Condors	0	W			Sommaire du Match
49 - 2020-11-22	353	Barracuda	3	Sound Tigers	2	L			Sommaire du Match
50 - 2020-11-23	367	Sound Tigers	5	Barracuda	4	W	X	X	Sommaire du Match
53 - 2020-11-26	386	Checkers	4	Sound Tigers	2	L			Sommaire du Match
55 - 2020-11-28	401	Sound Tigers	0	Rampage	5	L			Sommaire du Match
57 - 2020-11-30	412	Rocket	1	Sound Tigers	7	W			Sommaire du Match
58 - 2020-12-01	428	Sound Tigers	3	Griffins	4	L	X	X	Sommaire du Match
60 - 2020-12-03	446	Thunderbirds	4	Sound Tigers	3	L			Sommaire du Match
63 - 2020-12-06	464	Sound Tigers	4	Roadrunners	3	W	X	X	Sommaire du Match
66 - 2020-12-09	476	Griffins	5	Sound Tigers	3	L			Sommaire du Match
69 - 2020-12-12	497	Sound Tigers	3	Bruins	4	L	X	X	Sommaire du Match
70 - 2020-12-13	508	Penguins	4	Sound Tigers	8	W			Sommaire du Match
72 - 2020-12-15	529	Sound Tigers	3	Moose	4	L			Sommaire du Match
74 - 2020-12-17	540	Condors	2	Sound Tigers	10	W			Sommaire du Match
77 - 2020-12-20	560	Sound Tigers	6	Thunderbirds	5	W	X		Sommaire du Match
79 - 2020-12-22	570	Heat	5	Sound Tigers	6	W			Sommaire du Match
81 - 2020-12-24	586	Sound Tigers	4	Wild	3	W			Sommaire du Match
83 - 2020-12-26	600	Senators	4	Sound Tigers	5	W	X	X	Sommaire du Match
86 - 2020-12-29	622	Sound Tigers	2	Checkers	3	L			Sommaire du Match
87 - 2020-12-30	635	Monsters	4	Sound Tigers	7	W			Sommaire du Match
90 - 2021-01-02	656	Sound Tigers	6	Admirals	4	W			Sommaire du Match
92 - 2021-01-04	667	Wolf Pack	2	Sound Tigers	3	W			Sommaire du Match
95 - 2021-01-07	689	Americans	7	Sound Tigers	3	L			Sommaire du Match
98 - 2021-01-10	715	Stars	2	Sound Tigers	1	L	X	X	Sommaire du Match
100 - 2021-01-12	726	Sound Tigers	5	Reign	4	W			Sommaire du Match
101 - 2021-01-13	735	Sound Tigers	4	Americans	1	W			Sommaire du Match
103 - 2021-01-15	752	Sound Tigers	-	Eagles	-
105 - 2021-01-17	763	IceHogs	-	Sound Tigers	-
108 - 2021-01-20	782	Roadrunners	-	Sound Tigers	-
110 - 2021-01-22	791	Sound Tigers	-	Gulls	-
113 - 2021-01-25	813	Rampage	-	Sound Tigers	-
115 - 2021-01-27	834	Sound Tigers	-	Rocket	-
117 - 2021-01-29	841	Sound Tigers	-	Wolves	-
119 - 2021-01-31	852	Bruins	-	Sound Tigers	-
121 - 2021-02-02	874	Gulls	-	Sound Tigers	-
123 - 2021-02-04	886	Sound Tigers	-	Marlies	-
125 - 2021-02-06	895	Sound Tigers	-	Wolf Pack	-
127 - 2021-02-08	911	Crunch	-	Sound Tigers	-
129 - 2021-02-10	926	Sound Tigers	-	Wolf Pack	-
131 - 2021-02-12	939	Admirals	-	Sound Tigers	-
133 - 2021-02-14	951	Sound Tigers	-	Comets	-
135 - 2021-02-16	968	Sound Tigers	-	Phantoms	-
137 - 2021-02-18	978	Reign	-	Sound Tigers	-
139 - 2021-02-20	1001	Marlies	-	Sound Tigers	-
140 - 2021-02-21	1009	Sound Tigers	-	IceHogs	-
143 - 2021-02-24	1028	Sound Tigers	-	Senators	-
145 - 2021-02-26	1041	Moose	-	Sound Tigers	-
147 - 2021-02-28	1058	Sound Tigers	-	Heat	-
149 - 2021-03-02	1067	Sound Tigers	-	Devils	-
150 - 2021-03-03	1080	Bears	-	Sound Tigers	-
153 - 2021-03-06	1099	Sound Tigers	-	Phantoms	-
154 - 2021-03-07	1111	Eagles	-	Sound Tigers	-
157 - 2021-03-10	1129	Monsters	-	Sound Tigers	-
159 - 2021-03-12	1146	Sound Tigers	-	Monsters	-
160 - 2021-03-13	1155	Sound Tigers	-	Crunch	-
163 - 2021-03-16	1172	Wolves	-	Sound Tigers	-
167 - 2021-03-20	1196	Marlies	-	Sound Tigers	-
170 - 2021-03-23	1217	Phantoms	-	Sound Tigers	-
173 - 2021-03-26	1226	Sound Tigers	-	Crunch	-
177 - 2021-03-30	1249	Sound Tigers	-	Penguins	-
179 - 2021-04-01	1256	Phantoms	-	Sound Tigers	-

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
17	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
773,160$	1,379,579$	727,166$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	773,160$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	80	7,580$	606,400$

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	81	50	13	0	7	4	4	3	303	198	105	40	27	6	0	4	2	0	1	151	100	51	41	23	7	0	3	2	4	2	152	98	54	100	303	531	834	2	9	124	85	83	14	2616	850	867	870	49	2231	684	1092	1670	348	66	18.97%	446	81	81.84%	5	1427	2722	52.42%	1325	2632	50.34%	678	1296	52.31%	2040	1391	1814	610	1063	544
3	82	44	27	0	3	3	2	3	247	210	37	41	22	13	0	3	1	1	1	119	100	19	41	22	14	0	0	2	1	2	128	110	18	88	247	432	679	1	5	97	52	93	10	2637	902	829	876	50	2395	667	988	1557	335	55	16.42%	417	61	85.37%	4	1601	2861	55.96%	1383	2640	52.39%	674	1234	54.62%	2076	1432	1829	608	1054	544
4	82	43	30	0	0	0	4	5	254	206	48	41	25	12	0	0	0	1	3	130	92	38	41	18	18	0	0	0	3	2	124	114	10	86	254	459	713	3	3	107	77	66	7	2781	949	891	929	54	2451	746	1653	1990	562	102	18.15%	716	108	84.92%	9	1866	3204	58.24%	1773	3120	56.83%	714	1245	57.35%	2018	1342	1890	659	1056	527
5	82	38	30	0	3	3	5	3	253	214	39	41	19	13	0	2	2	3	2	138	117	21	41	19	17	0	1	1	2	1	115	97	18	76	253	447	700	1	5	83	91	71	12	2958	980	992	957	65	2442	746	715	2137	233	54	23.18%	325	59	81.85%	4	1835	2939	62.44%	1586	2669	59.42%	745	1263	58.99%	2105	1497	1831	569	1032	526
6	82	41	27	0	1	0	10	3	319	234	85	41	23	12	0	0	0	5	1	177	110	67	41	18	15	0	1	0	5	2	142	124	18	82	319	558	877	1	5	139	93	76	16	3533	1184	1173	1146	76	2761	848	615	2169	220	43	19.55%	255	51	80.00%	2	1884	3233	58.27%	1629	2938	55.45%	767	1351	56.77%	2150	1544	1802	567	1032	536
7	82	43	26	0	3	2	3	5	304	219	85	41	23	11	0	2	1	1	3	155	105	50	41	20	15	0	1	1	2	2	149	114	35	86	304	533	837	1	4	124	93	81	6	3499	1138	1185	1141	60	2814	761	640	2305	187	33	17.65%	290	59	79.66%	6	2050	3332	61.52%	1727	3061	56.42%	806	1340	60.15%	2165	1557	1782	562	1021	528
8	82	51	19	0	1	5	1	5	360	199	161	41	27	8	0	1	2	0	3	199	101	98	41	24	11	0	0	3	1	2	161	98	63	102	360	683	1043	0	10	154	100	104	5	3566	1230	1127	1172	66	2768	839	562	2192	164	54	32.93%	245	34	86.12%	2	1661	2992	55.51%	1479	2846	51.97%	737	1308	56.35%	2262	1667	1707	523	1000	526
8	82	51	19	0	1	5	1	5	360	199	161	41	27	8	0	1	2	0	3	199	101	98	41	24	11	0	0	3	1	2	161	98	63	102	360	683	1043	0	10	154	100	104	5	3566	1230	1127	1172	66	2768	839	562	2192	164	54	32.93%	245	34	86.12%	2	1661	2992	55.51%	1479	2846	51.97%	737	1308	56.35%	2262	1667	1707	523	1000	526
9	47	22	12	0	1	1	6	5	206	162	44	24	10	8	0	0	1	3	2	103	83	20	23	12	4	0	1	0	3	3	103	79	24	64	206	365	571	1	2	84	60	55	8	1977	660	624	668	61	1598	473	321	1188	122	23	18.85%	131	25	80.92%	2	1052	1847	56.96%	951	1678	56.67%	476	810	58.77%	1236	883	1039	323	599	307
Total Saison Régulière	702	383	203	0	20	23	36	37	2606	1841	765	351	203	91	0	13	11	14	19	1371	909	462	351	180	112	0	7	12	22	18	1235	932	303	786	2606	4691	7297	10	53	1066	751	733	83	27133	9123	8815	8931	547	22228	6603	7148	17400	2335	484	20.73%	3070	512	83.32%	36	15037	26122	57.56%	13332	24430	54.57%	6334	11155	56.78%	18318	12983	15405	4948	8861	4568
Séries
2	6	2	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	7	9	-2	4	16	27	43	1	0	5	6	5	0	160	53	53	54	0	166	53	72	126	26	5	19.23%	36	6	83.33%	0	114	198	57.58%	104	188	55.32%	41	80	51.25%	151	103	133	44	76	38
3	6	2	4	0	0	0	0	0	18	16	2	3	0	3	0	0	0	0	0	6	11	-5	3	2	1	0	0	0	0	0	12	5	7	4	18	34	52	0	1	8	5	5	0	218	80	59	74	5	199	60	73	121	34	6	17.65%	30	5	83.33%	0	164	253	64.82%	127	198	64.14%	53	87	60.92%	159	114	132	42	75	38
6	6	2	4	0	0	0	0	0	15	30	-15	3	2	1	0	0	0	0	0	10	13	-3	3	0	3	0	0	0	0	0	5	17	-12	4	15	27	42	0	0	7	4	4	0	187	60	59	68	0	285	86	36	173	21	4	19.05%	17	5	70.59%	0	81	219	36.99%	95	268	35.45%	46	111	41.44%	116	75	169	44	73	34
7	4	0	4	0	0	0	0	0	11	17	-6	2	0	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	5	7	-2	0	11	17	28	0	0	4	4	3	0	127	36	40	48	3	153	45	28	119	9	3	33.33%	14	3	78.57%	0	74	140	52.86%	71	165	43.03%	37	70	52.86%	88	58	106	32	54	25
8	7	3	4	0	0	0	0	0	21	25	-4	4	1	3	0	0	0	0	0	12	16	-4	3	2	1	0	0	0	0	0	9	9	0	6	21	38	59	1	0	9	7	5	0	250	89	90	70	1	311	97	31	177	15	0	0.00%	11	1	90.91%	0	112	251	44.62%	114	293	38.91%	55	122	45.08%	158	113	176	48	85	42
Total Séries	29	9	20	0	0	0	0	0	81	107	-26	15	4	11	0	0	0	0	0	43	60	-17	14	5	9	0	0	0	0	0	38	47	-9	18	81	143	224	2	1	33	26	22	0	942	318	301	314	9	1114	341	240	716	105	18	17.14%	108	20	81.48%	0	545	1061	51.37%	511	1112	45.95%	232	470	49.36%	674	464	718	212	365	178