OTHL - Senators

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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	William Carrier	X	X	X		100.00	90	46	90	80	79	56	91	60	36	63	62	56	25	63	65	65	50	64	0	26	3	1,400,000$
2	Klim Kostin	X	X	X		100.00	72	74	67	70	74	73	76	62	78	58	62	63	59	45	45	64	50	62	0	22	2	863,333$
3	Daniel Audette (R)	X				100.00	67	61	81	63	61	78	82	62	78	61	58	62	55	53	53	63	50	61	0	25	3	750,000$
4	Gerald Mayhew	X		X		100.00	63	58	74	62	58	65	65	68	50	62	68	62	65	53	53	66	50	61	0	28	1	850,000$
5	Cole Bardreau	X		X		100.00	72	66	87	63	66	61	61	63	79	53	67	66	64	55	55	65	50	61	0	28	2	900,000$
6	Dmytro Timashov (R)		X			100.00	74	69	85	67	69	59	59	60	50	54	59	66	56	57	57	62	50	60	0	25	2	750,000$
7	Nick Moutrey	X	X	X		100.00	81	80	82	65	80	61	65	48	60	43	47	64	45	44	44	55	50	55	0	26	1	750,000$
8	Graham Knott (R)	X	X			100.00	75	73	81	50	73	52	55	44	55	38	44	61	42	50	50	50	50	51	0	24	3	935,833$
9	Andrew Peeke (R)				X	100.00	97	47	88	76	74	71	59	59	25	61	47	75	25	47	47	61	50	66	0	23	2	1,491,667$
10	Dylan McIlrath				X	100.00	74	87	42	65	87	65	70	49	25	40	41	63	39	55	55	51	50	59	0	29	1	1,100,000$
11	Mitch Reinke				X	100.00	75	66	96	63	66	56	57	56	25	54	43	63	41	44	44	56	50	58	0	25	1	750,000$
12	Dysin Mayo (R)				X	100.00	76	73	82	64	73	66	72	45	25	34	40	62	38	51	51	52	50	58	0	25	3	798,333$
13	Cam Dineen (R)				X	100.00	74	66	93	66	66	61	63	55	25	47	48	62	46	44	44	57	50	58	0	23	3	910,833$
14	Daniel Walcott (R)				X	100.00	73	66	89	65	66	54	56	49	25	40	43	60	41	44	44	53	50	56	0	27	3	750,000$
15	Jordan Gross				X	100.00	77	68	99	66	68	53	56	41	25	28	39	60	37	44	44	49	50	54	0	26	2	850,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	76	67	82	66	71	62	66	55	44	49	51	63	45	50	50	58	50	59

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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	Devan Dubnyk	100.00	57	61	63	92	61	54	62	58	62	57	71	73	73	60	50	64	0
2	Gilles Senn (R)	100.00	50	57	71	83	48	50	50	55	49	49	30	44	44	51	50	54	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	54	59	67	88	55	52	56	57	56	53	51	59	59	56	50	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Nolan Pratt	62	77	76	66	68	63	80	CAN	45	3	700,000$

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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	PPP	PPS	PPM	PKM	GW	FO%	FOT	HT	P/20	FW	FT	S1	S2	S3
1	Dmytro Timashov	Senators (OTT)	LW	16	20	4	24	-11	20	10	59	33	92	23	72	21.74%	38	276	17.27	1	1	17	33	1	1	50.00%	12	3	1.74	1	1	3	1	1
2	Nick Moutrey	Senators (OTT)	C/LW/RW	16	19	4	23	-5	33	5	64	35	81	29	63	23.46%	20	309	19.34	5	5	18	57	0	2	65.00%	20	2	1.49	0	1	1	3	1
Stats d'équipe Total ou en Moyenne				32	39	8	47	-16	53	15	123	68	173	52	135	22.54%	58	585	18.31	6	6	35	90	1	3	59.38%	32	5	1.60	1	2	4	4	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

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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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andrew Peeke	Senators (OTT)	D	23	1998-03-16	Yes	197 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,491,667$	1,491,667$	0$	0$	No	1,491,667$		Lien / Lien NHL
Cam Dineen	Senators (OTT)	D	23	1998-06-18	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	910,833$	910,833$	0$	0$	No	910,833$	910,833$	Lien / Lien NHL
Cole Bardreau	Senators (OTT)	C/RW	28	1993-07-22	No	185 Lbs	5 ft10	Yes	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$		Lien / Lien NHL
Daniel Audette	Senators (OTT)	C	25	1996-05-06	Yes	176 Lbs	5 ft8	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Daniel Walcott	Senators (OTT)	D	27	1994-02-19	Yes	175 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Lien / Lien NHL
Devan Dubnyk	Senators (OTT)	G	35	1986-05-03	No	224 Lbs	6 ft6	Yes	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$		Lien / Lien NHL
Dmytro Timashov	Senators (OTT)	LW	25	1996-10-01	Yes	198 Lbs	5 ft10	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Lien / Lien NHL
Dylan McIlrath	Senators	D	29	1992-04-20	No	231 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	1,100,000$	No			Lien / Lien NHL
Dysin Mayo	Senators (OTT)	D	25	1996-08-17	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	798,333$	798,333$	0$	0$	No	798,333$	798,333$	Lien / Lien NHL
Gerald Mayhew	Senators (OTT)	C/RW	28	1992-12-31	No	161 Lbs	5 ft9	Yes	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No			Lien / Lien NHL
Gilles Senn	Senators (OTT)	G	25	1996-03-01	Yes	191 Lbs	6 ft5	No	No	No	2	Pro & Farm	817,500$	817,500$	0$	0$	No	817,500$		Lien / Lien NHL
Graham Knott	Senators (OTT)	C/LW	24	1997-01-13	Yes	191 Lbs	6 ft3	No	No	No	3	Pro & Farm	935,833$	935,833$	0$	0$	No	935,833$	935,833$	Lien / Lien NHL
Jordan Gross	Senators	D	26	1995-05-09	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	850,000$	850,000$	850,000$	850,000$	No	850,000$		Lien / Lien NHL
Klim Kostin	Senators (OTT)	C/LW/RW	22	1999-05-05	No	196 Lbs	6 ft3	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$		Lien / Lien NHL
Mitch Reinke	Senators (OTT)	D	25	1996-02-04	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
Nick Moutrey	Senators (OTT)	C/LW/RW	26	1995-06-23	No	218 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Lien / Lien NHL
William Carrier	Senators (OTT)	C/LW/RW	26	1994-12-20	No	218 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,400,000$	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	26.00	195 Lbs	6 ft1	2.12	980,441$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Nick Moutrey	40	1	2	2
2	Dmytro Timashov			30	1	2	2
3				20	1	2	2
4			Dmytro Timashov	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			Nick Moutrey	60	1	2	2
2	Dmytro Timashov			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	Dmytro Timashov	Nick Moutrey	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	Dmytro Timashov	Nick Moutrey	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
		Nick Moutrey

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Nick Moutrey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Nick Moutrey, Dmytro Timashov	, Nick Moutrey	Dmytro Timashov

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , Dmytro Timashov, Nick Moutrey,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , Dmytro Timashov, Nick Moutrey, , , , , , ,

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	Bears	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	15	24	0	0	32	8	14	1	51	142	138	159	5	47	15	6	13	3	2	66.67%	3	0	100.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
2	Canucks	2	0	2	0	0	0	0	0	2	18	-16	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	2	12	-10	0	0.000	2	4	6	0	0	32	8	14	1	39	142	138	159	5	84	22	6	27	10	0	0.00%	3	1	66.67%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
3	Comets	2	0	1	0	1	0	0	0	11	12	-1	1	0	1	0	0	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	6	5	1	2	0.500	11	19	30	0	0	32	8	14	1	66	142	138	159	5	99	26	6	47	3	0	0.00%	3	0	100.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
4	Crunch	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	4	2	4	1.000	12	22	34	0	0	32	8	14	1	105	142	138	159	5	65	19	16	52	5	1	20.00%	2	1	50.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
5	Griffins	2	0	2	0	0	0	0	0	7	13	-6	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	7	14	21	0	0	32	8	14	1	45	142	138	159	5	89	19	11	37	6	1	16.67%	3	3	0.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
6	Gulls	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	5	2	2	1.000	7	13	20	0	0	32	8	14	1	39	142	138	159	5	41	9	2	25	0	0	0.00%	1	0	100.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
7	Marlies	2	0	2	0	0	0	0	0	1	15	-14	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	32	8	14	1	29	142	138	159	5	100	20	2	29	9	0	0.00%	2	0	100.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
8	Monsters	2	0	2	0	0	0	0	0	5	15	-10	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	3	9	-6	0	0.000	5	9	14	0	0	32	8	14	1	43	142	138	159	5	97	27	19	44	12	1	8.33%	7	2	71.43%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
9	Rocket	2	0	2	0	0	0	0	0	1	15	-14	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	1	2	0	0	32	8	14	1	27	142	138	159	5	65	21	20	30	6	1	16.67%	10	6	40.00%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
	Total	16	4	11	0	1	0	0	0	55	102	-47	8	2	6	0	0	0	0	0	26	46	-20	8	2	5	0	1	0	0	0	29	56	-27	10	0.313	55	99	154	0	0	32	8	14	1	444	142	138	159	5	687	178	88	304	54	6	11.11%	34	13	61.76%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
	_Since Last GM Reset	16	4	11	0	1	0	0	0	55	102	-47	8	2	6	0	0	0	0	0	26	46	-20	8	2	5	0	1	0	0	0	29	56	-27	10	0.313	55	99	154	0	0	32	8	14	1	444	142	138	159	5	687	178	88	304	54	6	11.11%	34	13	61.76%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
	_Vs Conference	15	3	11	0	1	0	0	0	48	97	-49	8	2	6	0	0	0	0	0	26	46	-20	7	1	5	0	1	0	0	0	22	51	-29	8	0.267	48	86	134	0	0	32	8	14	1	405	142	138	159	5	646	169	86	279	54	6	11.11%	33	13	60.61%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77
	_Vs Division	8	2	11	0	1	0	0	0	21	50	-29	4	1	6	0	0	0	0	0	10	25	-15	4	1	5	0	1	0	0	0	11	25	-14	6	0.375	21	39	60	0	0	32	8	14	1	206	142	138	159	5	319	79	49	148	26	3	11.54%	17	10	41.18%	0	125	356	35.11%	138	449	30.73%	101	295	34.24%	291	204	488	110	180	77

			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	10	L1	55	99	154	444	687	178	88	304	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	4	11	1	0	0	0	55	102

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	26	46

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	5	1	0	0	0	29	56

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	6	1	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
54	6	11.11%	34	13	61.76%	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
142	138	159	5	32	8	14	1

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
125	356	35.11%	138	449	30.73%	101	295	34.24%

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
291	204	488	110	180	77

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	Lien
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-18	15	Senators	4	Griffins	6	L		Sommaire du Match
2 - 2021-10-19	18	Senators	2	Canucks	12	L		Sommaire du Match
3 - 2021-10-20	31	Crunch	3	Senators	6	W		Sommaire du Match
5 - 2021-10-22	53	Comets	7	Senators	5	L		Sommaire du Match
7 - 2021-10-24	76	Rocket	8	Senators	1	L		Sommaire du Match
8 - 2021-10-25	91	Senators	0	Rocket	7	L		Sommaire du Match
9 - 2021-10-26	107	Bears	2	Senators	9	W		Sommaire du Match
10 - 2021-10-27	126	Senators	6	Comets	5	W	X	Sommaire du Match
11 - 2021-10-28	132	Senators	3	Monsters	9	L		Sommaire du Match
12 - 2021-10-29	150	Canucks	6	Senators	0	L		Sommaire du Match
14 - 2021-10-31	174	Marlies	7	Senators	0	L		Sommaire du Match
16 - 2021-11-02	195	Senators	1	Marlies	8	L		Sommaire du Match
17 - 2021-11-03	203	Griffins	7	Senators	3	L		Sommaire du Match
18 - 2021-11-04	219	Senators	7	Gulls	5	W		Sommaire du Match
20 - 2021-11-06	234	Senators	6	Crunch	4	W		Sommaire du Match
22 - 2021-11-08	249	Monsters	6	Senators	2	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	40	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$	1,631,749$	1,601,616$	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

	Senators
	GP: 16 \| W: 5 \| L: 11 \| OTL: 0 \| P: 10 GF: 55 \| GA: 102 \| PP%: 11.11% \| PK%: 61.76% DG: Jason B \| Morale : 50 \| Moyenne d'Équipe : 59