OTHL - Admirals

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Justin Dowling	X	X	X		100.00	75	43	99	70	66	63	86	69	73	59	55	64	25	47	47	63	50	62	0
2	Nick Lappin		X	X		100.00	80	44	99	75	66	66	85	65	57	50	55	61	25	49	49	62	50	61	0
3	Charles Hudon		X	X		100.00	88	45	85	74	66	61	69	68	39	56	59	56	75	57	57	63	50	61	0
4	Stefan Matteau		X			100.00	75	81	60	64	81	71	77	50	50	47	46	63	44	50	50	55	50	57	0
5	Dennis Cholowski (R)				X	100.00	61	41	90	77	64	75	89	77	25	53	54	58	25	49	49	63	50	63	0
6	Stuart Percy				X	100.00	72	69	79	58	69	72	78	52	25	49	41	60	39	44	44	54	50	58	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	75	54	85	70	69	68	81	64	45	52	52	60	39	49	49	60	50	60

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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	Ryan Faragher	100.00	44	42	53	78	43	43	50	51	46	47	30	44	44	46	50	49	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	44	42	53	78	43	43	50	51	46	47	30	44	44	46	50	49

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	70	50	51	41	81	83	63	CAN	55	2	900,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FL	S1	S2	S3
1	Stefan Matteau	Admirals (NSH)	LW	13	8	14	22	16	15	5	27	12	62	25	42	12.90%	5	200	15.40	2	1	3	14	31	0	9	0	0	78.57%	14	2.20	0	1	2	1	3
2	Jayson Megna	Predators	C/RW	12	11	7	18	14	0	0	3	25	52	19	39	21.15%	12	191	15.99	0	2	2	5	22	1	24	1	0	74.09%	193	1.88	0	0	3	1	3
3	Charles Hudon	Admirals (NSH)	LW/RW	13	7	11	18	8	8	0	28	16	53	12	32	13.21%	3	219	16.91	2	2	4	12	25	0	21	0	0	60.00%	15	1.64	0	0	1	1	2
4	Justin Dowling	Admirals (NSH)	C/LW/RW	13	8	9	17	9	0	0	8	22	40	13	31	20.00%	1	215	16.58	1	1	2	11	32	1	10	1	0	64.53%	265	1.58	0	0	1	0	1
5	Nick Lappin	Admirals (NSH)	LW/RW	13	6	10	16	8	4	0	6	12	35	7	22	17.14%	1	197	15.19	1	3	4	4	26	0	0	0	1	50.00%	18	1.62	0	0	1	2	1
6	Dennis Cholowski	Admirals (NSH)	D	12	0	5	5	0	4	0	11	12	13	4	11	0.00%	6	220	18.34	0	0	0	5	22	0	12	0	0	0.00%	0	0.45	0	0	0	1	0
7	Stuart Percy	Admirals (NSH)	D	13	1	2	3	1	14	10	30	9	6	2	13	16.67%	12	239	18.42	1	0	1	2	22	0	14	0	0	0.00%	0	0.25	2	0	0	0	0
Stats d'équipe Total ou en Moyenne				89	41	58	99	56	45	15	113	108	261	82	190	15.71%	40	1484	16.68	7	9	16	53	182	2	93	2	1	67.92%	505	1.33	2	1	8	6	10

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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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Charles Hudon	Admirals (NSH)	LW/RW	25	1994-06-23	No	188 Lbs	5 ft10	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$		Lien
Dennis Cholowski	Admirals (NSH)	D	22	1998-02-15	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	894,166$	0$	0$	No	894,166$	894,166$	Lien
Justin Dowling	Admirals (NSH)	C/LW/RW	29	1990-10-01	No	185 Lbs	5 ft10	Yes	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
Nick Lappin	Admirals (NSH)	LW/RW	27	1992-11-01	No	175 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	0$	0$	No			Lien
Ryan Faragher	Admirals (NSH)	G	29	1990-07-03	No	202 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien
Stefan Matteau	Admirals (NSH)	LW	26	1994-02-23	No	220 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Stuart Percy	Admirals (NSH)	D	26	1993-05-18	No	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
7	26.29	190 Lbs	6 ft0	1.71	949,167$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

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

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

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Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Americans	2	0	2	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	2	4	6	0	0	110	62	61	4	14	782	728	789	30	97	36	6	16	7	0	0.00%	3	1	66.67%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
2	Barracudas	3	1	2	0	0	0	0	0	13	15	-2	2	0	2	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	6	4	2	2	0.333	13	26	39	1	0	110	62	61	4	113	782	728	789	30	137	42	10	66	4	1	25.00%	5	1	80.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
3	Bears	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	12	18	0	0	110	62	61	4	64	782	728	789	30	104	35	2	47	2	0	0.00%	1	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
4	Bruins	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	4	8	12	0	0	110	62	61	4	41	782	728	789	30	106	24	4	45	5	0	0.00%	2	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
5	Checkers	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	7	12	0	0	110	62	61	4	30	782	728	789	30	66	15	4	15	9	1	11.11%	2	2	0.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
6	Comets	3	0	3	0	0	0	0	0	7	22	-15	1	0	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	2	16	-14	0	0.000	7	11	18	0	0	110	62	61	4	44	782	728	789	30	108	38	15	44	13	3	23.08%	5	1	80.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
7	Condors	3	0	3	0	0	0	0	0	3	21	-18	1	0	1	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	1	16	-15	0	0.000	3	6	9	0	0	110	62	61	4	38	782	728	789	30	122	51	8	29	9	0	0.00%	4	1	75.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
8	Crunch	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	12	19	0	0	110	62	61	4	83	782	728	789	30	67	10	8	37	6	0	0.00%	4	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
9	Devils	2	1	1	0	0	0	0	0	13	8	5	1	1	0	0	0	0	0	0	9	3	6	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	13	24	37	0	0	110	62	61	4	90	782	728	789	30	81	17	2	48	2	1	50.00%	1	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
10	Eagles	4	2	1	0	0	0	1	0	23	20	3	2	0	1	0	0	0	1	0	11	12	-1	2	2	0	0	0	0	0	0	12	8	4	6	0.750	23	43	66	1	0	110	62	61	4	173	782	728	789	30	176	45	16	104	6	1	16.67%	8	1	87.50%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
11	Griffins	2	0	2	0	0	0	0	0	7	17	-10	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	11	-9	0	0.000	7	14	21	0	0	110	62	61	4	48	782	728	789	30	98	31	10	36	3	0	0.00%	5	4	20.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
12	Gulls	3	0	3	0	0	0	0	0	3	29	-26	2	0	2	0	0	0	0	0	2	18	-16	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	3	6	9	0	0	110	62	61	4	52	782	728	789	30	159	49	17	60	3	0	0.00%	8	1	87.50%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
13	Heat	3	0	3	0	0	0	0	0	2	31	-29	2	0	2	0	0	0	0	0	1	20	-19	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	2	4	6	0	0	110	62	61	4	44	782	728	789	30	179	41	14	41	6	0	0.00%	7	2	71.43%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
14	IceHogs	5	0	5	0	0	0	0	0	5	45	-40	2	0	2	0	0	0	0	0	2	16	-14	3	0	3	0	0	0	0	0	3	29	-26	0	0.000	5	8	13	0	0	110	62	61	4	76	782	728	789	30	269	90	35	58	8	0	0.00%	15	4	73.33%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
15	Marlies	2	0	2	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	9	18	27	0	0	110	62	61	4	55	782	728	789	30	135	36	8	40	6	2	33.33%	3	2	33.33%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
16	Monsters	2	0	2	0	0	0	0	0	2	18	-16	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	4	6	0	0	110	62	61	4	27	782	728	789	30	99	36	10	27	9	0	0.00%	4	1	75.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
17	Moose	4	0	2	0	1	0	0	1	7	16	-9	2	0	1	0	1	0	0	0	4	8	-4	2	0	1	0	0	0	0	1	3	8	-5	3	0.375	7	11	18	0	0	110	62	61	4	113	782	728	789	30	118	37	12	69	12	0	0.00%	3	2	33.33%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
18	Penguins	2	1	1	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	16	24	0	0	110	62	61	4	54	782	728	789	30	99	32	4	41	5	1	20.00%	2	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
19	Phantoms	2	0	2	0	0	0	0	0	0	16	-16	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	0	0	0	0	0	110	62	61	4	36	782	728	789	30	92	38	8	38	3	0	0.00%	4	1	75.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
20	Rampage	4	3	1	0	0	0	0	0	25	12	13	2	2	0	0	0	0	0	0	13	6	7	2	1	1	0	0	0	0	0	12	6	6	6	0.750	25	46	71	0	0	110	62	61	4	200	782	728	789	30	127	35	18	78	9	3	33.33%	9	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
21	Reign	3	0	2	0	0	1	0	0	11	16	-5	1	0	1	0	0	0	0	0	3	5	-2	2	0	1	0	0	1	0	0	8	11	-3	1	0.167	11	22	33	0	0	110	62	61	4	135	782	728	789	30	130	33	15	72	5	2	40.00%	5	2	60.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
22	Roadrunners	3	1	1	0	1	0	0	0	13	14	-1	1	1	0	0	0	0	0	0	5	4	1	2	0	1	0	1	0	0	0	8	10	-2	4	0.667	13	26	39	0	0	110	62	61	4	71	782	728	789	30	143	50	10	51	2	0	0.00%	5	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
23	Rocket	2	0	2	0	0	0	0	0	2	16	-14	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	3	5	0	0	110	62	61	4	16	782	728	789	30	76	21	8	22	8	0	0.00%	4	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
24	Senators	2	1	1	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	7	-5	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	12	18	0	0	110	62	61	4	77	782	728	789	30	104	27	12	43	1	0	0.00%	6	1	83.33%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
25	Sound Tigers	2	0	1	0	1	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	5	4	1	2	0.500	8	13	21	0	0	110	62	61	4	116	782	728	789	30	89	18	4	46	2	0	0.00%	2	1	50.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
26	Stars	4	0	3	0	0	0	0	1	9	23	-14	2	0	1	0	0	0	0	1	6	8	-2	2	0	2	0	0	0	0	0	3	15	-12	1	0.125	9	18	27	0	0	110	62	61	4	134	782	728	789	30	210	44	14	100	9	0	0.00%	7	2	71.43%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
27	Thunderbirds	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	0	0	110	62	61	4	21	782	728	789	30	78	21	38	19	3	0	0.00%	7	1	85.71%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
	Total	82	16	59	0	3	1	1	2	237	495	-258	41	8	30	0	1	0	1	1	129	243	-114	41	8	29	0	2	1	0	1	108	252	-144	43	0.262	237	445	682	2	0	110	62	61	4	2319	782	728	789	30	3747	1107	363	1513	177	17	9.60%	153	34	77.78%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
29	Wild	5	2	3	0	0	0	0	0	22	23	-1	3	2	1	0	0	0	0	0	16	13	3	2	0	2	0	0	0	0	0	6	10	-4	4	0.400	22	43	65	0	0	110	62	61	4	228	782	728	789	30	219	71	24	124	7	2	28.57%	11	1	90.91%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
30	Wolf Pack	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	7	14	21	0	0	110	62	61	4	77	782	728	789	30	100	46	6	45	3	0	0.00%	3	0	100.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
31	Wolves	3	0	3	0	0	0	0	0	3	23	-20	2	0	2	0	0	0	0	0	3	14	-11	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	3	5	8	0	0	110	62	61	4	49	782	728	789	30	159	38	21	52	10	0	0.00%	8	2	75.00%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
	_Since Last GM Reset	82	16	59	0	3	1	1	2	237	495	-258	41	8	30	0	1	0	1	1	129	243	-114	41	8	29	0	2	1	0	1	108	252	-144	43	0.262	237	445	682	2	0	110	62	61	4	2319	782	728	789	30	3747	1107	363	1513	177	17	9.60%	153	34	77.78%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
	_Vs Conference	49	9	34	0	2	1	1	2	141	300	-159	25	5	17	0	1	0	1	1	76	146	-70	24	4	17	0	1	1	0	1	65	154	-89	27	0.276	141	268	409	2	0	110	62	61	4	1440	782	728	789	30	2245	662	220	920	97	9	9.28%	98	20	79.59%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
	_Vs Division	26	5	19	0	1	0	0	2	91	139	-48	13	4	8	0	1	0	0	1	52	63	-11	13	1	11	0	0	0	0	1	39	76	-37	14	0.269	91	169	260	1	0	110	62	61	4	924	782	728	789	30	1119	322	119	533	51	6	11.76%	53	10	81.13%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386

			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	43	L3	237	445	682	2319	3747	1107	363	1513	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	16	59	3	1	1	2	237	495

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	8	30	1	0	1	1	129	243

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	8	29	2	1	0	1	108	252

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	9	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
177	17	9.60%	153	34	77.78%	0

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
782	728	789	30	110	62	61	4

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
798	1869	42.70%	905	2305	39.26%	567	1447	39.18%

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
1425	997	2620	544	898	386

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	9	Wild	5	Admirals	7	W			Sommaire du Match
4 - 2019-10-07	25	Griffins	6	Admirals	5	L			Sommaire du Match
7 - 2019-10-10	39	Barracudas	5	Admirals	4	L			Sommaire du Match
9 - 2019-10-12	53	Bears	3	Admirals	5	W			Sommaire du Match
11 - 2019-10-14	67	Admirals	5	Reign	6	L	X		Sommaire du Match
14 - 2019-10-17	90	Admirals	0	Wolves	9	L			Sommaire du Match
16 - 2019-10-19	98	Admirals	5	Roadrunners	4	W	X		Sommaire du Match
18 - 2019-10-21	117	Thunderbirds	6	Admirals	2	L			Sommaire du Match
21 - 2019-10-24	140	Gulls	9	Admirals	1	L			Sommaire du Match
23 - 2019-10-26	151	Wild	3	Admirals	5	W			Sommaire du Match
25 - 2019-10-28	168	Admirals	3	Crunch	5	L			Sommaire du Match
28 - 2019-10-31	184	IceHogs	13	Admirals	0	L			Sommaire du Match
30 - 2019-11-02	194	Heat	12	Admirals	0	L			Sommaire du Match
32 - 2019-11-04	213	Wolf Pack	4	Admirals	3	L			Sommaire du Match
34 - 2019-11-06	221	Admirals	2	Griffins	11	L			Sommaire du Match
37 - 2019-11-09	241	Admirals	6	Eagles	4	W			Sommaire du Match
39 - 2019-11-11	259	Admirals	6	Barracudas	4	W			Sommaire du Match
42 - 2019-11-14	279	Admirals	0	Comets	7	L			Sommaire du Match
46 - 2019-11-18	307	IceHogs	3	Admirals	2	L			Sommaire du Match
49 - 2019-11-21	326	Moose	3	Admirals	4	W	X		Sommaire du Match
51 - 2019-11-23	342	Comets	6	Admirals	5	L			Sommaire du Match
53 - 2019-11-25	357	Admirals	8	Rampage	1	W			Sommaire du Match
55 - 2019-11-27	369	Rampage	3	Admirals	7	W			Sommaire du Match
57 - 2019-11-29	383	Wolves	6	Admirals	2	L			Sommaire du Match
59 - 2019-12-01	394	Admirals	2	Checkers	3	L			Sommaire du Match
60 - 2019-12-02	408	Admirals	3	Thunderbirds	2	W			Sommaire du Match
63 - 2019-12-05	429	Crunch	3	Admirals	4	W			Sommaire du Match
67 - 2019-12-09	458	Devils	3	Admirals	9	W			Sommaire du Match
70 - 2019-12-12	479	Barracudas	6	Admirals	3	L			Sommaire du Match
72 - 2019-12-14	489	Admirals	1	Americans	6	L			Sommaire du Match
74 - 2019-12-16	508	Stars	4	Admirals	3	L			Sommaire du Match
76 - 2019-12-18	522	Admirals	4	Wolf Pack	3	W			Sommaire du Match
77 - 2019-12-19	527	Admirals	5	Sound Tigers	4	W	X		Sommaire du Match
79 - 2019-12-21	543	Admirals	4	Senators	3	W			Sommaire du Match
81 - 2019-12-23	552	Admirals	1	Bruins	7	L			Sommaire du Match
83 - 2019-12-25	573	Roadrunners	4	Admirals	5	W			Sommaire du Match
87 - 2019-12-29	588	Penguins	7	Admirals	3	L			Sommaire du Match
88 - 2019-12-30	596	Admirals	5	Penguins	4	W			Sommaire du Match
92 - 2020-01-03	626	Admirals	1	Stars	8	L			Sommaire du Match
95 - 2020-01-06	645	Admirals	3	Reign	5	L			Sommaire du Match
96 - 2020-01-07	653	Admirals	1	Gulls	11	L			Sommaire du Match
98 - 2020-01-09	669	Bruins	7	Admirals	3	L			Sommaire du Match
100 - 2020-01-11	681	Admirals	2	IceHogs	6	L			Sommaire du Match
103 - 2020-01-14	708	Admirals	0	Moose	4	L			Sommaire du Match
105 - 2020-01-16	718	Admirals	1	Condors	8	L			Sommaire du Match
107 - 2020-01-18	733	Gulls	9	Admirals	1	L			Sommaire du Match
109 - 2020-01-20	749	Americans	6	Admirals	1	L			Sommaire du Match
118 - 2020-01-29	770	Marlies	8	Admirals	4	L			Sommaire du Match
120 - 2020-01-31	781	Admirals	1	Bears	5	L			Sommaire du Match
121 - 2020-02-01	784	Admirals	4	Devils	5	L			Sommaire du Match
123 - 2020-02-03	800	Wolves	8	Admirals	1	L			Sommaire du Match
126 - 2020-02-06	823	Admirals	3	Moose	4	L	X	X	Sommaire du Match
128 - 2020-02-08	829	Admirals	1	Heat	11	L			Sommaire du Match
130 - 2020-02-10	845	Admirals	0	Condors	8	L			Sommaire du Match
132 - 2020-02-12	864	Admirals	2	Comets	9	L			Sommaire du Match
135 - 2020-02-15	886	Sound Tigers	5	Admirals	3	L			Sommaire du Match
137 - 2020-02-17	903	Admirals	4	Rampage	5	L			Sommaire du Match
138 - 2020-02-18	909	Rampage	3	Admirals	6	W			Sommaire du Match
140 - 2020-02-20	921	Checkers	5	Admirals	3	L			Sommaire du Match
143 - 2020-02-23	944	Admirals	0	IceHogs	11	L			Sommaire du Match
144 - 2020-02-24	951	Monsters	11	Admirals	1	L			Sommaire du Match
147 - 2020-02-27	975	Senators	7	Admirals	2	L			Sommaire du Match
149 - 2020-02-29	988	Heat	8	Admirals	1	L			Sommaire du Match
151 - 2020-03-02	1004	Eagles	4	Admirals	5	W	X	X	Sommaire du Match
153 - 2020-03-04	1018	Condors	5	Admirals	2	L			Sommaire du Match
154 - 2020-03-05	1021	Admirals	3	Wild	5	L			Sommaire du Match
156 - 2020-03-07	1037	Stars	4	Admirals	3	L	X	X	Sommaire du Match
158 - 2020-03-09	1050	Admirals	2	Stars	7	L			Sommaire du Match
161 - 2020-03-12	1073	Admirals	1	Rocket	7	L			Sommaire du Match
163 - 2020-03-14	1091	Admirals	5	Marlies	7	L			Sommaire du Match
165 - 2020-03-16	1101	Admirals	1	Monsters	7	L			Sommaire du Match
166 - 2020-03-17	1112	Admirals	3	Wild	5	L			Sommaire du Match
170 - 2020-03-21	1143	Eagles	8	Admirals	6	L			Sommaire du Match
172 - 2020-03-23	1160	Phantoms	7	Admirals	0	L			Sommaire du Match
173 - 2020-03-24	1165	Admirals	1	IceHogs	12	L			Sommaire du Match
175 - 2020-03-26	1179	Moose	5	Admirals	0	L			Sommaire du Match
177 - 2020-03-28	1196	Reign	5	Admirals	3	L			Sommaire du Match
179 - 2020-03-30	1205	Admirals	3	Roadrunners	6	L			Sommaire du Match
180 - 2020-03-31	1217	Admirals	6	Eagles	4	W			Sommaire du Match
183 - 2020-04-03	1240	Rocket	9	Admirals	1	L			Sommaire du Match
184 - 2020-04-04	1249	Admirals	0	Phantoms	9	L			Sommaire du Match
186 - 2020-04-06	1265	Wild	5	Admirals	4	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	100	0
Assistance	46,067	35,714
Assistance PCT	56.18%	87.11%

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	1995 - 66.49%	112,359$	4,606,700$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,728,888$	664,417$	664,417$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
3,572$	828,870$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	8,411$	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	16	59	0	3	1	1	2	237	495	-258	41	8	30	0	1	0	1	1	129	243	-114	41	8	29	0	2	1	0	1	108	252	-144	43	237	445	682	2	0	110	62	61	4	2319	782	728	789	30	3747	1107	363	1513	177	17	9.60%	153	34	77.78%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386
Total Saison Régulière	82	16	59	0	3	1	1	2	237	495	-258	41	8	30	0	1	0	1	1	129	243	-114	41	8	29	0	2	1	0	1	108	252	-144	43	237	445	682	2	0	110	62	61	4	2319	782	728	789	30	3747	1107	363	1513	177	17	9.60%	153	34	77.78%	0	798	1869	42.70%	905	2305	39.26%	567	1447	39.18%	1425	997	2620	544	898	386