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	Stefan Matteau		X			100.00	82	84	77	64	84	71	74	61	50	57	60	69	57	51	51	64	50	62	0
2	Justin Dowling	X	X	X		100.00	73	43	90	70	66	57	70	68	52	60	59	69	25	51	52	64	50	62	0
3	Charles Hudon		X	X		100.00	82	44	99	74	66	59	64	64	33	57	58	54	75	59	59	62	50	60	0
4	Dennis Cholowski				X	100.00	63	41	94	77	64	77	87	80	25	52	48	63	25	55	55	61	50	65	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	75	53	90	71	70	66	74	68	40	57	56	64	46	54	54	63	50	62

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Astuces sur les Filtres (Anglais seulement)

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

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#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	70	50	51	41	81	83	63	CAN	56	1	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Link
Charles Hudon	Admirals (NSH)	LW/RW	26	1994-06-23	No	188 Lbs	5 ft10	No	No	No	1	Pro & Farm	725,000$	725,000$	0$	0$	No		Lien / Lien NHL
Dennis Cholowski	Admirals (NSH)	D	22	1998-02-15	No	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	894,166$	894,166$	0$	0$	No	894,166$	Lien / Lien NHL
Justin Dowling	Admirals (NSH)	C/LW/RW	30	1990-10-01	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No		Lien / Lien NHL
Stefan Matteau	Admirals (NSH)	LW	26	1994-02-23	No	220 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
4	26.00	191 Lbs	6 ft0	1.25	823,542$

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	1	13	-12	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	29	22	23	0	18	264	269	310	0	89	24	12	14	3	0	0.00%	4	0	100.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
2	Barracudas	2	0	2	0	0	0	0	0	0	12	-12	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	29	22	23	0	19	264	269	310	0	121	29	8	16	7	0	0.00%	3	1	66.67%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
3	Condors	2	0	2	0	0	0	0	0	1	19	-18	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	29	22	23	0	14	264	269	310	0	111	34	2	21	6	0	0.00%	1	1	0.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
4	Eagles	2	1	1	0	0	0	0	0	12	10	2	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	7	4	3	2	0.500	12	24	36	0	0	29	22	23	0	105	264	269	310	0	95	22	4	51	1	1	100.00%	2	1	50.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
5	Gulls	2	0	2	0	0	0	0	0	0	15	-15	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	0	0	0	0	0	29	22	23	0	51	264	269	310	0	108	32	6	58	4	0	0.00%	3	0	100.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
6	Heat	3	0	3	0	0	0	0	0	2	21	-19	1	0	1	0	0	0	0	0	0	6	-6	2	0	2	0	0	0	0	0	2	15	-13	0	0.000	2	4	6	0	0	29	22	23	0	46	264	269	310	0	138	53	4	31	9	0	0.00%	2	1	50.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
7	IceHogs	3	0	3	0	0	0	0	0	4	24	-20	2	0	2	0	0	0	0	0	3	16	-13	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	4	7	11	0	0	29	22	23	0	53	264	269	310	0	128	33	6	24	11	0	0.00%	3	0	100.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
8	Moose	2	0	2	0	0	0	0	0	0	13	-13	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	0	0	0	0	0	29	22	23	0	16	264	269	310	0	84	26	6	20	10	0	0.00%	3	2	33.33%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
9	Rampage	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	18	27	0	0	29	22	23	0	116	264	269	310	0	85	18	4	42	1	0	0.00%	2	0	100.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
10	Reign	2	2	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	7	4	3	4	1.000	15	30	45	0	0	29	22	23	0	113	264	269	310	0	75	25	16	54	5	1	20.00%	2	0	100.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
11	Roadrunners	2	0	2	0	0	0	0	0	9	20	-11	1	0	1	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	9	18	27	0	0	29	22	23	0	75	264	269	310	0	130	39	2	50	2	1	50.00%	3	1	66.67%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
12	Stars	2	2	0	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	7	5	2	4	1.000	12	23	35	0	0	29	22	23	0	102	264	269	310	0	93	24	4	39	1	0	0.00%	2	0	100.00%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
	Total	30	8	22	0	0	0	0	0	74	194	-120	15	4	11	0	0	0	0	0	35	93	-58	15	4	11	0	0	0	0	0	39	101	-62	16	0.267	74	146	220	0	0	29	22	23	0	843	264	269	310	0	1440	403	98	483	66	4	6.06%	42	10	76.19%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
14	Wild	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	9	18	27	0	0	29	22	23	0	104	264	269	310	0	88	14	8	44	2	1	50.00%	4	1	75.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
15	Wolves	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	29	22	23	0	11	264	269	310	0	95	30	16	19	4	0	0.00%	8	2	75.00%	0	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
	_Since Last GM Reset	30	8	22	0	0	0	0	0	74	194	-120	15	4	11	0	0	0	0	0	35	93	-58	15	4	11	0	0	0	0	0	39	101	-62	16	0.267	74	146	220	0	0	29	22	23	0	843	264	269	310	0	1440	403	98	483	66	4	6.06%	42	10	76.19%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
	_Vs Conference	30	8	22	0	0	0	0	0	74	194	-120	15	4	11	0	0	0	0	0	35	93	-58	15	4	11	0	0	0	0	0	39	101	-62	16	0.267	74	146	220	0	0	29	22	23	0	843	264	269	310	0	1440	403	98	483	66	4	6.06%	42	10	76.19%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
	_Vs Division	13	5	10	0	0	0	0	0	46	71	-25	7	3	5	0	0	0	0	0	23	35	-12	6	2	5	0	0	0	0	0	23	36	-13	10	0.385	46	90	136	0	0	29	22	23	0	496	264	269	310	0	573	137	32	220	26	2	7.69%	16	4	75.00%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127

			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
30	16	L1	74	146	220	843	1440	403	98	483	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	8	22	0	0	0	0	74	194

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	4	11	0	0	0	0	35	93

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	4	11	0	0	0	0	39	101

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
66	4	6.06%	42	10	76.19%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
264	269	310	0	29	22	23	0

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
230	646	35.60%	297	850	34.94%	172	508	33.86%

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
449	310	1024	209	326	127

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	Lien
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2020-10-24	8	IceHogs	7	Admirals	1	L	Sommaire du Match
2 - 2020-10-25	16	Admirals	2	Heat	11	L	Sommaire du Match
3 - 2020-10-26	42	Wild	3	Admirals	6	W	Sommaire du Match
4 - 2020-10-27	49	Admirals	0	Moose	9	L	Sommaire du Match
5 - 2020-10-28	68	Admirals	0	Gulls	6	L	Sommaire du Match
6 - 2020-10-29	84	Moose	4	Admirals	0	L	Sommaire du Match
7 - 2020-10-30	98	Americans	8	Admirals	0	L	Sommaire du Match
9 - 2020-11-01	114	Admirals	0	Wolves	9	L	Sommaire du Match
10 - 2020-11-02	132	Admirals	5	Rampage	4	W	Sommaire du Match
11 - 2020-11-03	145	Rampage	3	Admirals	4	W	Sommaire du Match
12 - 2020-11-04	161	Admirals	0	Barracudas	7	L	Sommaire du Match
13 - 2020-11-05	171	Admirals	1	IceHogs	8	L	Sommaire du Match
14 - 2020-11-06	186	Heat	6	Admirals	0	L	Sommaire du Match
16 - 2020-11-08	206	Admirals	3	Wild	6	L	Sommaire du Match
17 - 2020-11-09	217	Wolves	7	Admirals	0	L	Sommaire du Match
18 - 2020-11-10	233	Barracudas	5	Admirals	0	L	Sommaire du Match
19 - 2020-11-11	252	Admirals	0	Heat	4	L	Sommaire du Match
20 - 2020-11-12	266	Admirals	1	Condors	9	L	Sommaire du Match
21 - 2020-11-13	278	Roadrunners	10	Admirals	4	L	Sommaire du Match
23 - 2020-11-15	298	Eagles	6	Admirals	5	L	Sommaire du Match
24 - 2020-11-16	316	Admirals	7	Reign	4	W	Sommaire du Match
25 - 2020-11-17	328	Condors	10	Admirals	0	L	Sommaire du Match
27 - 2020-11-19	347	Admirals	7	Stars	5	W	Sommaire du Match
28 - 2020-11-20	359	Admirals	1	Americans	5	L	Sommaire du Match
29 - 2020-11-21	370	IceHogs	9	Admirals	2	L	Sommaire du Match
31 - 2020-11-23	395	Stars	3	Admirals	5	W	Sommaire du Match
32 - 2020-11-24	410	Reign	3	Admirals	8	W	Sommaire du Match
33 - 2020-11-25	420	Admirals	5	Roadrunners	10	L	Sommaire du Match
37 - 2020-11-29	441	Admirals	7	Eagles	4	W	Sommaire du Match
39 - 2020-12-01	462	Gulls	9	Admirals	0	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	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
0	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
0$	329,417$	329,417$	0$

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

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	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
2020	30	8	22	0	0	0	0	0	74	194	-120	15	4	11	0	0	0	0	0	35	93	-58	15	4	11	0	0	0	0	0	39	101	-62	16	74	146	220	0	0	29	22	23	0	843	264	269	310	0	1440	403	98	483	66	4	6.06%	42	10	76.19%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127
Total Saison Régulière	30	8	22	0	0	0	0	0	74	194	-120	15	4	11	0	0	0	0	0	35	93	-58	15	4	11	0	0	0	0	0	39	101	-62	16	74	146	220	0	0	29	22	23	0	843	264	269	310	0	1440	403	98	483	66	4	6.06%	42	10	76.19%	1	230	646	35.60%	297	850	34.94%	172	508	33.86%	449	310	1024	209	326	127