OTHL - Gulls

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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	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	Zach Senyshyn (R)		X		100.00	77	71	92	68	71	58	57	63	50	57	65	65	62	44	44	65	50	61	0	24	1	1,288,000$
2	Trent Frederic	X			100.00	80	90	59	65	77	58	79	59	56	52	59	68	25	50	50	63	50	60	0	23	1	1,137,500$
3	Cameron Hughes (R)	X			100.00	65	60	76	65	60	61	61	64	80	65	58	62	55	54	54	62	50	60	0	25	2	925,000$
4	Ryan MacInnis	X			100.00	77	44	99	64	77	55	58	60	56	50	55	69	25	46	46	60	50	58	0	25	2	874,125$
5	Martin Pospisil (R)	X			100.00	59	69	37	63	69	52	49	64	80	60	65	57	62	44	44	61	50	58	0	21	3	810,000$
6	Eetu Tuulola (R)		X		100.00	83	81	87	65	81	61	64	50	50	47	47	65	45	44	44	56	50	56	0	23	3	925,000$
7	Aidan Dudas (R)	X			100.00	68	57	92	65	57	68	72	54	68	47	56	59	53	44	44	58	50	56	0	21	3	791,667$
8	Luke Schenn			X	100.00	91	99	64	72	86	55	62	57	25	44	48	58	25	78	80	56	50	63	0	32	1	1,150,000$
9	Rasmus Sandin (R)			X	100.00	77	43	99	80	66	65	54	74	25	70	47	59	25	47	47	58	50	63	0	21	2	894,167$
10	Alex Alexeyev (R)			X	100.00	83	80	89	68	80	58	58	60	25	54	51	68	48	44	44	61	50	62	0	21	2	863,333$
11	Lucas Johansen			X	100.00	75	67	92	60	67	50	51	47	25	40	39	60	37	44	44	51	50	54	0	23	2	925,000$
12	Jeremy Roy			X	100.00	72	71	74	61	71	50	52	46	25	36	39	59	37	47	47	49	50	54	0	24	2	863,333$
13	Luke Green (R)			X	100.00	75	69	90	60	69	40	40	42	25	28	41	59	39	44	44	48	50	52	0	23	3	838,333$
Rayé

	MOYENNE D'ÉQUIPE				100.00	76	69	81	66	72	56	58	57	45	50	52	62	41	48	49	58	50	58

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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	Carter Hutton	100.00	48	55	56	75	50	46	56	50	57	48	71	64	64	52	50	55	0
2	Mason McDonald (R)	100.00	45	47	59	83	43	44	50	52	46	47	30	44	44	47	50	51	0
Rayé
1	Ian Scott (R)	100.00	43	40	50	76	41	41	50	50	45	46	30	44	44	45	50	48	0

	MOYENNE D'ÉQUIPE	100.00	45	47	55	78	45	44	52	51	49	47	44	51	51	48	50	51

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Manny Malhotra	62	71	73	67	60	56	85	CAN	40	2	650,000$

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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	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	HT	P/20	FL	S1	S2	S3
1	Ryan MacInnis	Gulls (ANH)	C	16	24	3	27	20	6	0	27	33	78	16	56	30.77%	6	159	9.94	0	0	0	0	0	2	0	77.14%	175	2	3.39	0	3	2	4
2	Trent Frederic	Gulls (ANH)	C	7	12	10	22	20	6	0	17	12	54	8	36	22.22%	1	100	14.29	0	0	0	0	0	1	1	79.82%	114	0	4.40	0	1	6	0
3	Zach Senyshyn	Gulls (ANH)	RW	7	8	14	22	20	0	0	6	11	58	15	53	13.79%	2	101	14.54	0	0	0	0	1	2	0	90.91%	11	1	4.32	0	3	0	2
4	Jeremy Roy	Gulls (ANH)	D	16	5	16	21	13	27	5	76	20	61	15	26	8.20%	24	295	18.47	1	1	28	24	11	1	0	0.00%	0	0	1.42	1	1	0	3
5	Lucas Johansen	Gulls (ANH)	D	16	3	15	18	9	8	0	58	30	42	15	34	7.14%	20	279	17.46	0	0	24	30	15	1	0	0.00%	0	0	1.29	0	0	2	0
Stats d'équipe Total ou en Moyenne				62	52	58	110	82	47	5	184	106	293	69	205	17.75%	53	935	15.09	1	1	52	54	28	7	1	78.67%	300	3	2.35	1	8	10	9

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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
1	Ian Scott	Gulls (ANH)	7	5	2	0	0.890	2.73	395	2	1	18	163	0	0	0	0.000	0	7	0	0	0	0
Stats d'équipe Total ou en Moyenne			7	5	2	0	0.890	2.73	395	2	1	18	163	0	0	0	0.000	0	7	0	0	0	0

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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	Salaire Année 3	Link
Aidan Dudas	Gulls (ANH)	C	21	2000-06-14	Yes	162 Lbs	5 ft8	No	No	No	3	Pro & Farm	791,667$	791,667$	0$	0$	No	791,667$	791,667$	Lien
Alex Alexeyev	Gulls (ANH)	D	21	1999-11-15	Yes	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$		Lien / Lien NHL
Cameron Hughes	Gulls (ANH)	C	25	1996-10-09	Yes	160 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Carter Hutton	Gulls (ANH)	G	35	1985-12-18	No	208 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,250,000$	1,250,000$	0$	0$	No	1,250,000$		Lien / Lien NHL
Eetu Tuulola	Gulls (ANH)	RW	23	1998-03-17	Yes	224 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Ian Scott	Gulls (ANH)	G	22	1999-01-10	Yes	181 Lbs	6 ft4	Yes	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$		Lien
Jeremy Roy	Gulls (ANH)	D	24	1997-05-14	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$		Lien / Lien NHL
Lucas Johansen	Gulls (ANH)	D	23	1997-11-16	No	176 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Lien
Luke Green	Gulls (ANH)	D	23	1998-01-11	Yes	188 Lbs	6 ft1	No	No	No	3	Pro & Farm	838,333$	838,333$	0$	0$	No	838,333$	838,333$	Lien / Lien NHL
Luke Schenn	Gulls (ANH)	D	32	1989-11-01	No	229 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,150,000$	1,150,000$	0$	0$	No			Lien / Lien NHL
Martin Pospisil	Gulls (ANH)	C	21	1999-11-19	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	810,000$	810,000$	0$	0$	No	810,000$	810,000$	Lien / Lien NHL
Mason McDonald	Gulls (ANH)	G	25	1996-04-23	Yes	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	894,167$	894,167$	0$	0$	No	894,167$	894,167$	Lien
Rasmus Sandin	Gulls (ANH)	D	21	2000-03-07	Yes	183 Lbs	5 ft11	No	No	No	2	Pro & Farm	894,167$	894,167$	0$	0$	No	894,167$		Lien / Lien NHL
Ryan MacInnis	Gulls (ANH)	C	25	1996-02-14	No	201 Lbs	6 ft4	No	No	No	2	Pro & Farm	874,125$	874,125$	0$	0$	No	874,125$		Lien / Lien NHL
Trent Frederic	Gulls (ANH)	C	23	1998-02-11	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,137,500$	1,137,500$	0$	0$	No			Lien / Lien NHL
Zach Senyshyn	Gulls (ANH)	RW	24	1997-03-30	Yes	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,288,000$	1,288,000$	0$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
16	24.25	193 Lbs	6 ft1	2.13	958,102$

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		Ryan MacInnis		20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Jeremy Roy	40	1	2	2
2	Lucas Johansen		30	1	2	2
3			20	1	2	2
4		Jeremy Roy	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		Jeremy Roy	60	1	2	2
2	Lucas Johansen		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		Jeremy Roy	60	1	2	2
2	Lucas Johansen		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		Jeremy Roy	60	1	2	2
2		40	1	2	2	Lucas Johansen		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		Jeremy Roy	60	1	2	2
2	Lucas Johansen		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
				Jeremy Roy

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
				Jeremy Roy

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan MacInnis, ,	Ryan MacInnis,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lucas Johansen, , Jeremy Roy	Lucas Johansen	, Jeremy Roy

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

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

Lignes de Défense Perso. en Prol.
, Jeremy Roy, Lucas Johansen, ,

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	Barracudas	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	0	0	32	19	20	0	68	203	198	217	0	63	24	23	44	5	0	0.00%	7	2	71.43%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
2	Condors	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	0	0	32	19	20	0	67	203	198	217	0	66	13	4	31	8	0	0.00%	2	0	100.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
3	Eagles	4	4	0	0	0	0	0	0	26	7	19	2	2	0	0	0	0	0	0	13	2	11	2	2	0	0	0	0	0	0	13	5	8	8	1.000	26	48	74	0	1	32	19	20	0	232	203	198	217	0	93	23	21	104	5	0	0.00%	8	0	100.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
4	Griffins	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	8	13	0	0	32	19	20	0	20	203	198	217	0	27	8	6	22	2	0	0.00%	3	0	100.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
5	Heat	2	0	2	0	0	0	0	0	5	17	-12	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	5	8	13	0	0	32	19	20	0	33	203	198	217	0	77	23	4	27	9	0	0.00%	2	2	0.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
6	Reign	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	8	2	6	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	10	16	26	0	0	32	19	20	0	75	203	198	217	0	55	16	4	27	3	1	33.33%	2	0	100.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
7	Roadrunners	2	1	1	0	0	0	0	0	11	10	1	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	11	17	28	0	0	32	19	20	0	82	203	198	217	0	82	28	14	50	1	0	0.00%	7	2	71.43%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
8	Senators	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	7	12	0	0	32	19	20	0	41	203	198	217	0	39	14	0	22	1	0	0.00%	0	0	0.00%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
	Total	16	7	9	0	0	0	0	0	71	68	3	8	4	4	0	0	0	0	0	39	32	7	8	3	5	0	0	0	0	0	32	36	-4	14	0.438	71	119	190	0	1	32	19	20	0	618	203	198	217	0	502	149	76	327	34	1	2.94%	31	6	80.65%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
	_Since Last GM Reset	16	7	9	0	0	0	0	0	71	68	3	8	4	4	0	0	0	0	0	39	32	7	8	3	5	0	0	0	0	0	32	36	-4	14	0.438	71	119	190	0	1	32	19	20	0	618	203	198	217	0	502	149	76	327	34	1	2.94%	31	6	80.65%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91
	_Vs Conference	14	6	8	0	0	0	0	0	61	59	2	7	4	3	0	0	0	0	0	34	25	9	7	2	5	0	0	0	0	0	27	34	-7	12	0.429	61	104	165	0	1	32	19	20	0	557	203	198	217	0	436	127	70	283	31	1	3.23%	28	6	78.57%	0	220	410	53.66%	188	361	52.08%	150	283	53.00%	408	309	369	97	181	91

			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
16	14	W1	71	119	190	618	502	149	76	327	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	7	9	0	0	0	0	71	68

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	39	32

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	32	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	7	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
34	1	2.94%	31	6	80.65%	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
203	198	217	0	32	19	20	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
220	410	53.66%	188	361	52.08%	150	283	53.00%

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
408	309	369	97	181	91

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 - 2021-10-18	11	Gulls	6	Eagles	3	W	Sommaire du Match
2 - 2021-10-19	23	Reign	2	Gulls	8	W	Sommaire du Match
3 - 2021-10-20	36	Gulls	3	Barracudas	4	L	Sommaire du Match
5 - 2021-10-22	51	Eagles	0	Gulls	6	W	Sommaire du Match
6 - 2021-10-23	71	Gulls	4	Roadrunners	6	L	Sommaire du Match
7 - 2021-10-24	75	Gulls	7	Eagles	2	W	Sommaire du Match
8 - 2021-10-25	92	Eagles	2	Gulls	7	W	Sommaire du Match
9 - 2021-10-26	112	Barracudas	4	Gulls	1	L	Sommaire du Match
10 - 2021-10-27	127	Gulls	5	Griffins	2	W	Sommaire du Match
12 - 2021-10-29	145	Gulls	2	Reign	7	L	Sommaire du Match
13 - 2021-10-30	154	Gulls	2	Condors	4	L	Sommaire du Match
14 - 2021-10-31	163	Heat	9	Gulls	2	L	Sommaire du Match
15 - 2021-11-01	180	Gulls	3	Heat	8	L	Sommaire du Match
16 - 2021-11-02	192	Condors	4	Gulls	3	L	Sommaire du Match
18 - 2021-11-04	219	Senators	7	Gulls	5	L	Sommaire du Match
22 - 2021-11-08	256	Roadrunners	4	Gulls	7	W	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	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	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$	1,532,962$	1,539,129$	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

	Gulls
	GP: 16 \| W: 7 \| L: 9 \| OTL: 0 \| P: 14 GF: 71 \| GA: 68 \| PP%: 2.94% \| PK%: 80.65% DG: Jeff Ducksworthy \| Morale : 50 \| Moyenne d'Équipe : 57