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
1	Michael Bunting (R)	X	X	X		100.00	66	70	57	63	70	75	78	64	50	60	65	60	62	44	44	64	50	61	0
2	Nick Moutrey (R)	X	X	X		100.00	82	80	85	63	80	57	61	45	56	41	44	63	42	44	44	52	50	54	0
3	Tim Heed				X	100.00	63	41	91	73	68	65	58	66	25	65	48	57	25	47	47	60	50	60	0
4	Frank Corrado				X	100.00	78	74	86	69	74	55	58	47	25	35	41	66	39	59	60	53	50	59	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	72	66	80	67	73	63	64	56	39	50	50	62	42	49	49	57	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

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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
Jay Woodcroft	43	79	69	71	47	35	57	CAN	38	1	950,000$

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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	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSS	FW	FT	S1	S2	S3
1	John Hayden	Senators	LW/RW	60	23	46	69	60	78	10	84	60	158	53	124	14.56%	5	1053	17.55	5	10	15	22	140	1	1	0	27	7	1	61.54%	65	0	1.31	0	1	1	3	1	8
2	Frank Corrado	Senators (OTT)	D	82	32	26	58	-52	137	5	400	135	190	57	130	16.84%	193	1406	17.15	4	4	8	51	71	0	0	0	43	2	0	60.00%	5	0	0.82	1	0	1	4	2	2
3	Tim Heed	Senators (OTT)	D	39	13	15	28	-28	16	0	91	55	64	19	47	20.31%	62	770	19.75	6	3	9	39	65	0	0	0	64	3	0	0.00%	0	1	0.73	0	0	0	0	1	3
4	Nick Moutrey	Senators (OTT)	C/LW/RW	18	11	11	22	0	16	0	55	54	69	21	60	15.94%	3	324	18.05	3	1	4	11	23	0	0	2	29	1	0	66.22%	299	0	1.35	0	0	0	1	1	2
5	Michael Bunting	Senators (OTT)	C/LW/RW	5	7	3	10	0	6	0	9	14	21	9	11	33.33%	4	82	16.52	2	1	3	6	6	0	0	0	7	0	0	66.15%	130	0	2.42	0	0	0	0	1	2
6	Dylan McIlrath	Senators	D	18	3	7	10	-10	29	5	68	19	30	13	24	10.00%	11	351	19.51	0	4	4	14	32	0	0	0	27	1	0	0.00%	0	0	0.57	0	0	1	2	1	1
Stats d'équipe Total ou en Moyenne				222	89	108	197	-30	282	20	707	337	532	172	396	16.73%	278	3989	17.97	20	23	43	143	340	1	1	2	199	14	1	65.53%	499	1	0.99	1	1	3	10	7	18

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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
1	Calvin Pickard	Senators	16	6	9	1	0.880	3.51	923	0	0	54	451	0	2	0	0.000	0	16	0	0	2	1
Stats d'équipe Total ou en Moyenne			16	6	9	1	0.880	3.51	923	0	0	54	451	0	2	0	0.000	0	16	0	0	2	1

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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
Frank Corrado	Senators (OTT)	D	27	1993-03-26	No	205 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Michael Bunting	Senators (OTT)	C/LW/RW	24	1995-09-17	Yes	197 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Nick Moutrey	Senators (OTT)	C/LW/RW	24	1995-06-23	Yes	218 Lbs	6 ft3	No	No	No	3	Pro & Farm	525,000$	0$	0$	No	525,000$	525,000$	Lien
Tim Heed	Senators (OTT)	D	29	1991-01-27	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	716,667$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
4	26.00	201 Lbs	6 ft1	2.00	791,667$

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

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

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Heed	Frank Corrado	60	1	2	2
2			40	1	2	2

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

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Heed	Frank Corrado	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	Michael Bunting	60	1	2	2	Tim Heed	Frank Corrado	60	1	2	2
2	Nick Moutrey	40	1	2	2			40	1	2	2

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Heed	Frank Corrado	60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Moutrey	Michael Bunting		Tim Heed	Frank Corrado

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Moutrey	Michael Bunting		Tim Heed	Frank Corrado

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Michael Bunting, Nick Moutrey,	Michael Bunting, Nick Moutrey

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tim Heed, Frank Corrado,	Tim Heed	Frank Corrado,

Tirs de Pénalité
Michael Bunting, Nick Moutrey, , ,

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	4	0	4	0	0	0	0	0	3	30	-27	2	0	2	0	0	0	0	0	1	18	-17	2	0	2	0	0	0	0	0	2	12	-10	0	0.000	3	6	9	0	0	80	56	49	3	47	678	707	681	20	142	36	20	48	14	1	7.14%	8	1	87.50%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
2	Admirals	2	1	1	0	0	0	0	0	10	6	4	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	7	2	5	2	0.500	10	20	30	0	0	80	56	49	3	104	678	707	681	20	77	21	2	51	6	1	16.67%	1	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
3	Barracudas	2	0	2	0	0	0	0	0	5	14	-9	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	5	9	14	0	0	80	56	49	3	44	678	707	681	20	72	21	10	35	3	1	33.33%	4	1	75.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
4	Bears	3	0	2	0	0	1	0	0	4	17	-13	1	0	0	0	0	1	0	0	2	3	-1	2	0	2	0	0	0	0	0	2	14	-12	1	0.167	4	7	11	0	0	80	56	49	3	73	678	707	681	20	121	36	18	46	3	1	33.33%	8	3	62.50%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
5	Bruins	4	0	3	0	0	1	0	0	9	24	-15	2	0	2	0	0	0	0	0	4	13	-9	2	0	1	0	0	1	0	0	5	11	-6	1	0.125	9	15	24	0	0	80	56	49	3	67	678	707	681	20	129	37	31	46	16	3	18.75%	8	3	62.50%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
6	Checkers	3	0	3	0	0	0	0	0	2	21	-19	1	0	1	0	0	0	0	0	1	5	-4	2	0	2	0	0	0	0	0	1	16	-15	0	0.000	2	4	6	0	0	80	56	49	3	28	678	707	681	20	117	39	12	38	6	0	0.00%	6	1	83.33%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
7	Comets	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	1	2	3	0	0	80	56	49	3	14	678	707	681	20	88	26	14	24	4	0	0.00%	7	1	85.71%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
8	Condors	2	0	2	0	0	0	0	0	1	22	-21	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	1	12	-11	0	0.000	1	2	3	0	0	80	56	49	3	12	678	707	681	20	98	19	18	34	8	0	0.00%	9	3	66.67%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
9	Crunch	4	0	4	0	0	0	0	0	7	18	-11	2	0	2	0	0	0	0	0	2	9	-7	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	7	13	20	0	0	80	56	49	3	100	678	707	681	20	149	36	18	68	11	0	0.00%	8	4	50.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
10	Devils	3	1	2	0	0	0	0	0	12	15	-3	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	4	7	-3	2	0.333	12	22	34	0	0	80	56	49	3	121	678	707	681	20	129	41	6	63	1	0	0.00%	3	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
11	Eagles	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	11	17	0	0	80	56	49	3	63	678	707	681	20	47	16	10	47	3	0	0.00%	5	1	80.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
12	Griffins	4	0	4	0	0	0	0	0	5	24	-19	2	0	2	0	0	0	0	0	1	11	-10	2	0	2	0	0	0	0	0	4	13	-9	0	0.000	5	10	15	0	0	80	56	49	3	107	678	707	681	20	199	61	26	87	13	0	0.00%	11	1	90.91%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
13	Gulls	2	0	2	0	0	0	0	0	2	15	-13	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	2	3	5	0	0	80	56	49	3	39	678	707	681	20	93	29	8	26	8	2	25.00%	3	2	33.33%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
14	Heat	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	3	5	8	0	0	80	56	49	3	38	678	707	681	20	83	19	8	23	6	0	0.00%	4	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
15	IceHogs	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	3	6	9	0	0	80	56	49	3	45	678	707	681	20	78	16	16	30	3	0	0.00%	8	3	62.50%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
16	Marlies	4	1	3	0	0	0	0	0	10	20	-10	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	3	13	-10	2	0.250	10	15	25	0	0	80	56	49	3	109	678	707	681	20	156	39	9	75	18	6	33.33%	3	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
17	Monsters	3	0	3	0	0	0	0	0	3	20	-17	1	0	1	0	0	0	0	0	0	8	-8	2	0	2	0	0	0	0	0	3	12	-9	0	0.000	3	4	7	0	0	80	56	49	3	38	678	707	681	20	145	39	6	39	19	1	5.26%	3	1	66.67%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
18	Moose	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	2	1	1	2	0.500	3	4	7	0	0	80	56	49	3	35	678	707	681	20	55	25	19	34	3	2	66.67%	7	4	42.86%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
19	Penguins	3	0	3	0	0	0	0	0	7	22	-15	1	0	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	3	16	-13	0	0.000	7	13	20	0	0	80	56	49	3	75	678	707	681	20	121	35	14	67	12	1	8.33%	4	3	25.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
20	Phantoms	3	0	3	0	0	0	0	0	9	20	-11	2	0	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	9	18	27	0	0	80	56	49	3	87	678	707	681	20	162	43	8	51	7	1	14.29%	3	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
21	Rampage	2	0	1	0	0	0	0	1	8	14	-6	1	0	0	0	0	0	0	1	5	6	-1	1	0	1	0	0	0	0	0	3	8	-5	1	0.250	8	14	22	0	0	80	56	49	3	91	678	707	681	20	97	17	2	37	7	2	28.57%	2	1	50.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
22	Reign	2	1	1	0	0	0	0	0	11	9	2	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	7	4	3	2	0.500	11	22	33	0	0	80	56	49	3	80	678	707	681	20	96	30	6	54	4	3	75.00%	3	1	66.67%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
23	Roadrunners	2	1	0	0	0	0	1	0	10	8	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	6	5	1	4	1.000	10	18	28	0	0	80	56	49	3	84	678	707	681	20	80	22	14	51	2	2	100.00%	7	1	85.71%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
24	Rocket	4	0	4	0	0	0	0	0	3	31	-28	2	0	2	0	0	0	0	0	2	14	-12	2	0	2	0	0	0	0	0	1	17	-16	0	0.000	3	5	8	0	0	80	56	49	3	41	678	707	681	20	192	57	16	48	13	0	0.00%	8	3	62.50%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
25	Sound Tigers	3	1	2	0	0	0	0	0	11	12	-1	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.333	11	22	33	1	0	80	56	49	3	136	678	707	681	20	121	33	6	76	4	1	25.00%	4	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
26	Stars	2	0	2	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	6	9	0	0	80	56	49	3	54	678	707	681	20	92	18	8	51	1	0	0.00%	4	1	75.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
27	Thunderbirds	4	0	4	0	0	0	0	0	9	30	-21	2	0	2	0	0	0	0	0	5	13	-8	2	0	2	0	0	0	0	0	4	17	-13	0	0.000	9	17	26	0	0	80	56	49	3	86	678	707	681	20	181	43	16	53	12	0	0.00%	8	2	75.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
	Total	82	11	66	0	0	2	2	1	187	479	-292	41	6	32	0	0	1	1	1	96	209	-113	41	5	34	0	0	1	1	0	91	270	-179	29	0.177	187	340	527	1	0	80	56	49	3	2074	678	707	681	20	3449	947	363	1459	212	28	13.21%	160	42	73.75%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
29	Wild	2	0	1	0	0	0	1	0	10	11	-1	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	17	27	0	0	80	56	49	3	82	678	707	681	20	92	28	2	46	4	0	0.00%	1	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
30	Wolf Pack	3	2	1	0	0	0	0	0	14	11	3	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	6	3	3	4	0.667	14	26	40	0	0	80	56	49	3	134	678	707	681	20	166	41	8	81	1	0	0.00%	4	0	100.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
31	Wolves	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	3	4	7	0	0	80	56	49	3	40	678	707	681	20	71	24	12	30	0	0	0.00%	6	1	83.33%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
	_Since Last GM Reset	82	11	66	0	0	2	2	1	187	479	-292	41	6	32	0	0	1	1	1	96	209	-113	41	5	34	0	0	1	1	0	91	270	-179	29	0.177	187	340	527	1	0	80	56	49	3	2074	678	707	681	20	3449	947	363	1459	212	28	13.21%	160	42	73.75%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
	_Vs Conference	50	5	43	0	0	2	0	0	106	298	-192	25	4	20	0	0	1	0	0	58	124	-66	25	1	23	0	0	1	0	0	48	174	-126	12	0.120	106	193	299	1	0	80	56	49	3	1216	678	707	681	20	2176	606	208	862	140	14	10.00%	88	22	75.00%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
	_Vs Division	28	2	22	0	0	0	0	0	46	177	-131	14	2	10	0	0	0	0	0	22	85	-63	14	0	12	0	0	0	0	0	24	92	-68	4	0.071	46	81	127	0	0	80	56	49	3	557	678	707	681	20	1148	309	136	425	97	10	10.31%	54	14	74.07%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400

			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	29	L4	187	340	527	2074	3449	947	363	1459	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	11	66	0	2	2	1	187	479

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	6	32	0	1	1	1	96	209

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	5	34	0	1	1	0	91	270

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	9	0	1	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
212	28	13.21%	160	42	73.75%	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
678	707	681	20	80	56	49	3

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
751	1829	41.06%	862	2314	37.25%	534	1404	38.03%

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
1524	1074	2515	539	899	400

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
1 - 2019-10-04	3	Senators	0	Marlies	8	L			Sommaire du Match
4 - 2019-10-07	26	Wolf Pack	5	Senators	4	L			Sommaire du Match
9 - 2019-10-12	54	Rampage	6	Senators	5	L	X	X	Sommaire du Match
11 - 2019-10-14	72	Crunch	3	Senators	2	L			Sommaire du Match
13 - 2019-10-16	83	Wild	4	Senators	5	W	X	X	Sommaire du Match
16 - 2019-10-19	105	Senators	2	Wolves	8	L			Sommaire du Match
18 - 2019-10-21	113	Senators	6	Roadrunners	5	W	X	X	Sommaire du Match
20 - 2019-10-23	129	Senators	2	Stars	6	L			Sommaire du Match
22 - 2019-10-25	143	Griffins	7	Senators	1	L			Sommaire du Match
24 - 2019-10-27	157	Sound Tigers	4	Senators	3	L			Sommaire du Match
26 - 2019-10-29	175	Barracudas	8	Senators	2	L			Sommaire du Match
32 - 2019-11-04	205	Senators	1	Bruins	6	L			Sommaire du Match
34 - 2019-11-06	223	Senators	6	Wolf Pack	3	W			Sommaire du Match
35 - 2019-11-07	229	Senators	5	Sound Tigers	7	L			Sommaire du Match
37 - 2019-11-09	244	Reign	5	Senators	4	L			Sommaire du Match
39 - 2019-11-11	257	Checkers	5	Senators	1	L			Sommaire du Match
41 - 2019-11-13	270	Senators	0	Checkers	7	L			Sommaire du Match
43 - 2019-11-15	282	Senators	4	Devils	7	L			Sommaire du Match
45 - 2019-11-17	296	Phantoms	5	Senators	4	L			Sommaire du Match
46 - 2019-11-18	301	Senators	1	Americans	6	L			Sommaire du Match
49 - 2019-11-21	323	Senators	3	Griffins	9	L			Sommaire du Match
50 - 2019-11-22	331	Senators	1	Rocket	9	L			Sommaire du Match
52 - 2019-11-24	346	Wolf Pack	3	Senators	4	W			Sommaire du Match
55 - 2019-11-27	366	Senators	1	Monsters	5	L			Sommaire du Match
57 - 2019-11-29	385	Bruins	8	Senators	3	L			Sommaire du Match
59 - 2019-12-01	398	Senators	5	Wild	7	L			Sommaire du Match
60 - 2019-12-02	404	Senators	1	Heat	9	L			Sommaire du Match
63 - 2019-12-05	432	Senators	0	Comets	10	L			Sommaire du Match
64 - 2019-12-06	434	Senators	1	Condors	12	L			Sommaire du Match
67 - 2019-12-09	459	Senators	2	Phantoms	9	L			Sommaire du Match
69 - 2019-12-11	469	Bruins	5	Senators	1	L			Sommaire du Match
71 - 2019-12-13	485	Senators	0	Rocket	8	L			Sommaire du Match
74 - 2019-12-16	510	Monsters	8	Senators	0	L			Sommaire du Match
76 - 2019-12-18	521	Senators	2	Thunderbirds	10	L			Sommaire du Match
77 - 2019-12-19	530	Senators	2	Crunch	4	L			Sommaire du Match
79 - 2019-12-21	543	Admirals	4	Senators	3	L			Sommaire du Match
81 - 2019-12-23	560	Phantoms	6	Senators	3	L			Sommaire du Match
83 - 2019-12-25	575	Americans	7	Senators	1	L			Sommaire du Match
89 - 2019-12-31	609	Devils	5	Senators	4	L			Sommaire du Match
90 - 2020-01-01	612	Senators	1	Penguins	6	L			Sommaire du Match
93 - 2020-01-04	634	Thunderbirds	4	Senators	2	L			Sommaire du Match
95 - 2020-01-06	649	Crunch	6	Senators	0	L			Sommaire du Match
98 - 2020-01-09	674	Senators	2	Bears	6	L			Sommaire du Match
101 - 2020-01-12	691	Senators	1	Griffins	4	L			Sommaire du Match
102 - 2020-01-13	697	Rocket	6	Senators	0	L			Sommaire du Match
105 - 2020-01-16	720	IceHogs	4	Senators	3	L			Sommaire du Match
107 - 2020-01-18	735	Wolves	5	Senators	1	L			Sommaire du Match
109 - 2020-01-20	751	Heat	4	Senators	2	L			Sommaire du Match
118 - 2020-01-29	771	Devils	3	Senators	4	W			Sommaire du Match
119 - 2020-01-30	774	Senators	1	Americans	6	L			Sommaire du Match
122 - 2020-02-02	789	Bears	3	Senators	2	L	X		Sommaire du Match
123 - 2020-02-03	804	Senators	3	Marlies	5	L			Sommaire du Match
126 - 2020-02-06	820	Gulls	5	Senators	2	L			Sommaire du Match
128 - 2020-02-08	835	Eagles	2	Senators	4	W			Sommaire du Match
130 - 2020-02-10	853	Senators	2	Moose	1	W			Sommaire du Match
133 - 2020-02-13	868	Senators	2	Eagles	1	W			Sommaire du Match
135 - 2020-02-15	887	Roadrunners	3	Senators	4	W			Sommaire du Match
137 - 2020-02-17	902	Marlies	1	Senators	4	W			Sommaire du Match
138 - 2020-02-18	911	Stars	3	Senators	1	L			Sommaire du Match
140 - 2020-02-20	922	Americans	11	Senators	0	L			Sommaire du Match
142 - 2020-02-22	936	Moose	4	Senators	1	L			Sommaire du Match
144 - 2020-02-24	953	Rocket	8	Senators	2	L			Sommaire du Match
146 - 2020-02-26	967	Senators	2	Monsters	7	L			Sommaire du Match
147 - 2020-02-27	975	Senators	7	Admirals	2	W			Sommaire du Match
149 - 2020-02-29	989	Comets	3	Senators	1	L			Sommaire du Match
151 - 2020-03-02	1006	Griffins	4	Senators	0	L			Sommaire du Match
154 - 2020-03-05	1024	Senators	2	Penguins	10	L			Sommaire du Match
156 - 2020-03-07	1039	Sound Tigers	1	Senators	3	W			Sommaire du Match
158 - 2020-03-09	1058	Senators	3	Barracudas	6	L			Sommaire du Match
161 - 2020-03-12	1070	Senators	0	Gulls	10	L			Sommaire du Match
162 - 2020-03-13	1082	Senators	7	Reign	4	W			Sommaire du Match
164 - 2020-03-15	1094	Senators	0	IceHogs	5	L			Sommaire du Match
166 - 2020-03-17	1115	Senators	3	Rampage	8	L			Sommaire du Match
169 - 2020-03-20	1135	Condors	10	Senators	0	L			Sommaire du Match
171 - 2020-03-22	1152	Senators	0	Bears	8	L			Sommaire du Match
172 - 2020-03-23	1154	Senators	1	Checkers	9	L			Sommaire du Match
175 - 2020-03-26	1181	Thunderbirds	9	Senators	3	L			Sommaire du Match
177 - 2020-03-28	1191	Senators	4	Bruins	5	L	X		Sommaire du Match
179 - 2020-03-30	1213	Marlies	6	Senators	3	L			Sommaire du Match
182 - 2020-04-02	1237	Senators	3	Crunch	5	L			Sommaire du Match
184 - 2020-04-04	1246	Senators	2	Thunderbirds	7	L			Sommaire du Match
186 - 2020-04-06	1268	Penguins	6	Senators	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	60	0
Assistance	61,795	36,867
Assistance PCT	75.36%	89.92%

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	2406 - 80.21%	90,432$	3,707,700$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,260,605$	316,667$	339,167$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
1,703$	310,647$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	6,810$	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	11	66	0	0	2	2	1	187	479	-292	41	6	32	0	0	1	1	1	96	209	-113	41	5	34	0	0	1	1	0	91	270	-179	29	187	340	527	1	0	80	56	49	3	2074	678	707	681	20	3449	947	363	1459	212	28	13.21%	160	42	73.75%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400
Total Saison Régulière	82	11	66	0	0	2	2	1	187	479	-292	41	6	32	0	0	1	1	1	96	209	-113	41	5	34	0	0	1	1	0	91	270	-179	29	187	340	527	1	0	80	56	49	3	2074	678	707	681	20	3449	947	363	1459	212	28	13.21%	160	42	73.75%	0	751	1829	41.06%	862	2314	37.25%	534	1404	38.03%	1524	1074	2515	539	899	400