LHSDB - Senators

Ottawa Senators
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Client Web pour Lignes

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

#	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	Matt Moulson		X	X		100.00	63	55	80	73	82	82	72	71	50	60	60	80	55	86	85	1	36	67	0
2	Justin Bailey		X	X		100.00	73	55	65	84	76	69	70	67	50	61	64	72	55	70	70	1	91	66	0
3	A.J. Greer		X			100.00	67	55	61	72	79	73	69	65	50	63	60	61	55	50	50	1	91	62	0
4	Vladislav Kamenev		X			100.00	79	55	60	76	78	69	73	63	60	61	62	60	55	50	50	1	82	62	0
5	Max McCormick		X			100.00	56	55	58	69	69	63	72	67	62	55	55	62	55	50	50	1	91	59	0
6	Gabriel Fontaine (R)	X				100.00	78	55	82	55	72	70	78	55	50	55	55	55	55	66	74	1	89	58	0
7	Ethan Werek		X			100.00	60	55	71	65	72	67	67	55	50	55	55	55	55	73	75	1	91	58	0
8	Jean-Sebastien Dea			X		100.00	60	55	74	62	65	61	72	60	64	60	60	60	55	50	50	1	87	58	0
9	Drew Miller		X			100.00	55	55	55	55	55	55	55	55	50	55	55	55	55	71	73	1	86	55	0
10	Adam Cracknell			X		100.00	55	55	55	55	55	55	55	55	50	55	55	55	55	60	61	1	69	54	0
11	Grayson Downing	X				100.00	56	55	55	55	56	57	56	55	50	55	55	55	55	72	50	1	91	54	0
12	Jordan Schmaltz				X	100.00	67	55	63	81	74	69	68	70	25	61	60	66	55	53	53	1	90	65	0
13	Carl Dahlstrom				X	100.00	68	55	75	61	79	82	67	68	25	62	60	68	55	53	53	1	91	64	0
14	Taylor Fedun				X	100.00	62	55	67	71	72	76	62	64	25	61	60	64	55	53	53	1	91	62	0
15	Cody Goloubef				X	100.00	55	55	55	60	55	55	78	55	25	55	55	55	55	81	74	1	91	57	0
16	Andreas Englund				X	100.00	55	55	55	60	55	55	67	55	25	55	55	55	55	53	53	1	91	55	0
17	Matt Taormina				X	100.00	55	55	55	60	55	55	77	55	25	55	55	55	55	53	53	1	91	55	0
18	Brady Austin				X	100.00	55	55	55	60	55	55	72	55	25	55	55	55	55	53	53	1	91	55	0
19	Tim Erixon				X	100.00	55	55	55	60	55	55	66	55	25	55	55	55	55	57	57	1	91	55	0
Rayé
1	Ryan Carter		X			100.00	55	55	55	55	55	55	55	55	50	55	55	55	55	71	72	1	54	54	0
2	Dakota Mermis				X	100.00	57	55	55	60	55	55	67	55	25	55	55	55	55	53	53	1	19	54	0

	MOYENNE D'ÉQUIPE					100.00	61	55	62	64	65	63	68	60	41	57	57	60	55	61	60	1	81	59

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Eddie Pasquale	100.00	71	71	73	82	70	70	76	70	70	72	55	69	68	1	84	70	0
2	Chris Driedger	100.00	60	77	81	79	64	64	65	63	67	62	55	59	61	1	91	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	66	74	77	81	67	67	71	67	69	67	55	64	65	1	88	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Groulx	61	96	83	80	73	58	70	CAN	50	6	1,000,000$

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

#	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	P/20	FT	S1	S2	S3
1	Jordan Schmaltz	Senators (Ott)	D	5	4	2	6	-2	10	0	5	7	13	3	7	30.77%	6	112	22.49	4	1	5	9	34	0	0	0	0	27	1	1	0.00%	0	1.07	0	1	0	1
2	A.J. Greer	Senators (Ott)	LW	5	1	4	5	-2	12	0	9	11	16	3	11	6.25%	2	115	23.19	1	3	4	4	28	0	0	0	1	13	0	0	45.10%	51	0.86	0	0	0	0
3	Jean-Sebastien Dea	Senators (Ott)	RW	5	2	2	4	-1	2	0	4	2	12	3	5	16.67%	0	84	16.87	1	2	3	7	31	0	0	0	0	0	1	0	75.00%	4	0.95	0	0	1	0
4	Grayson Downing	Senators (Ott)	C	5	1	2	3	-1	2	0	5	13	2	1	4	50.00%	0	84	16.90	1	2	3	2	30	0	0	0	0	1	1	0	51.69%	89	0.71	0	0	1	0
5	Carl Dahlstrom	Senators (Ott)	D	5	1	2	3	-2	6	0	3	6	8	2	6	12.50%	5	119	23.80	1	1	2	8	35	0	1	1	0	31	0	1	0.00%	0	0.50	0	0	0	1
6	Taylor Fedun	Senators (Ott)	D	5	1	2	3	0	6	0	6	6	9	3	9	11.11%	7	101	20.21	1	2	3	8	30	0	0	0	0	28	1	0	0.00%	0	0.59	0	1	0	0
7	Matt Moulson	Senators (Ott)	LW/RW	5	1	2	3	-1	7	5	2	18	17	2	12	5.88%	3	133	26.69	0	1	1	7	32	1	0	1	1	32	0	0	51.46%	103	0.45	1	0	0	0
8	Justin Bailey	Senators (Ott)	LW/RW	5	0	2	2	-2	8	0	11	13	14	3	4	0.00%	0	121	24.29	0	2	2	7	30	0	0	0	0	24	0	0	26.67%	15	0.33	0	0	0	0
9	Cody Goloubef	Senators (Ott)	D	5	0	2	2	0	6	0	4	0	6	0	2	0.00%	5	97	19.42	0	2	2	6	28	0	0	0	0	26	0	0	0.00%	0	0.41	0	0	0	1
10	Vladislav Kamenev	Senators (Ott)	LW	5	1	0	1	-1	6	0	10	6	7	1	9	14.29%	0	72	14.44	0	0	0	0	0	0	0	0	0	14	0	0	50.00%	6	0.28	0	0	0	0
11	Max McCormick	Senators (Ott)	LW	5	0	1	1	-1	0	0	1	9	5	3	5	0.00%	1	60	12.13	0	0	0	0	3	0	1	1	0	19	0	0	58.33%	12	0.33	0	0	0	0
12	Gabriel Fontaine	Senators (Ott)	C	5	0	0	0	-3	4	0	9	9	1	0	1	0.00%	0	90	18.12	0	0	0	0	32	0	0	0	0	8	0	0	47.75%	111	0.00	0	0	0	0
13	Ethan Werek	Senators (Ott)	LW	5	0	0	0	-1	0	0	0	2	1	1	1	0.00%	0	39	7.92	0	0	0	0	8	0	0	0	0	5	0	0	81.82%	11	0.00	0	0	0	0
14	Andreas Englund	Senators (Ott)	D	5	0	0	0	-1	0	0	0	1	0	1	0	0.00%	1	50	10.09	0	0	0	0	0	0	0	0	0	8	0	0	0.00%	0	0.00	0	0	0	0
15	Matt Taormina	Senators (Ott)	D	5	0	0	0	-1	8	0	3	1	2	0	2	0.00%	2	51	10.26	0	0	0	0	5	0	0	0	0	2	0	0	0.00%	0	0.00	0	0	0	0
16	Drew Miller	Senators (Ott)	LW	5	0	0	0	0	2	0	0	0	0	0	0	0.00%	0	16	3.26	0	0	0	0	5	0	0	0	0	0	0	0	0.00%	2	0.00	0	0	0	0
17	Brady Austin	Senators (Ott)	D	5	0	0	0	-1	4	0	3	0	0	0	1	0.00%	2	30	6.20	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
18	Tim Erixon	Senators (Ott)	D	5	0	0	0	-1	8	0	5	3	1	0	0	0.00%	2	37	7.44	0	0	0	0	1	0	0	0	0	4	0	0	0.00%	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				90	12	21	33	-21	91	5	80	107	114	26	79	10.53%	36	1418	15.76	9	16	25	58	337	1	2	3	2	250	4	2	49.75%	404	0.47	1	2	2	3

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	SO	GA	SA	A	ST	BG	S1	S2
1	Eddie Pasquale	Senators (Ott)	5	4	1	0.915	2.06	262	1	9	106	1	5	0	1	1
2	Chris Driedger	Senators (Ott)	1	0	0	0.933	1.62	37	0	1	15	0	0	5	0	0
Stats d'équipe Total ou en Moyenne			6	4	1	0.917	2.00	300	1	10	121	1	5	5	1	1

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
A.J. Greer	Senators (Ott)	LW	20	1996-12-14	No	204 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No
Adam Cracknell	Senators (Ott)	RW	31	1985-07-14	No	210 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Andreas Englund	Senators (Ott)	D	20	1996-01-21	No	189 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No
Brady Austin	Senators (Ott)	D	23	1993-06-15	No	234 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Carl Dahlstrom	Senators (Ott)	D	21	1995-01-28	No	228 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No
Chris Driedger	Senators (Ott)	G	22	1994-05-18	No	200 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	500,000$	0$	0$	No
Cody Goloubef	Senators (Ott)	D	27	1989-11-30	No	195 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	500,000$	0$	0$	No
Dakota Mermis	Senators (Ott)	D	23	1994-01-05	No	196 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Drew Miller	Senators (Ott)	LW	32	1984-02-17	No	180 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Eddie Pasquale	Senators (Ott)	G	26	1990-11-20	No	215 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	500,000$	0$	0$	No
Ethan Werek	Senators (Ott)	LW	25	1991-06-07	No	189 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Gabriel Fontaine	Senators (Ott)	C	19	1997-04-30	Yes	192 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No
Grayson Downing	Senators (Ott)	C	24	1992-04-18	No	200 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Jean-Sebastien Dea	Senators (Ott)	RW	22	1994-02-08	No	175 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	300,000$	0$	0$	No
Jordan Schmaltz	Senators (Ott)	D	23	1993-10-08	No	190 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,208,000$	0$	0$	No
Justin Bailey	Senators (Ott)	LW/RW	21	1995-07-01	No	190 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	890,000$	0$	0$	No
Matt Moulson	Senators (Ott)	LW/RW	33	1983-10-31	No	200 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	0$	0$	No
Matt Taormina	Senators (Ott)	D	30	1986-10-19	No	182 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Max McCormick	Senators (Ott)	LW	24	1992-04-30	No	185 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Ryan Carter	Senators (Ott)	LW	33	1983-08-02	No	205 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Taylor Fedun	Senators (Ott)	D	28	1988-06-03	No	200 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	500,000$	0$	0$	No
Tim Erixon	Senators (Ott)	D	25	1991-02-23	No	200 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	0$	0$	No
Vladislav Kamenev	Senators (Ott)	LW	20	1996-08-12	No	203 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	24.87	198 Lbs	6 ft1	2.00	574,913$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matt Moulson	Gabriel Fontaine	Justin Bailey	40	1	2	2
2	A.J. Greer	Grayson Downing	Jean-Sebastien Dea	30	1	2	2
3	Vladislav Kamenev	Matt Moulson	Justin Bailey	20	1	2	2
4	Max McCormick	A.J. Greer	Vladislav Kamenev	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Schmaltz	Carl Dahlstrom	40	1	2	2
2	Taylor Fedun	Cody Goloubef	30	1	2	2
3	Matt Taormina	Andreas Englund	20	1	2	2
4	Tim Erixon	Brady Austin	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matt Moulson	Gabriel Fontaine	Justin Bailey	60	1	2	2
2	A.J. Greer	Grayson Downing	Jean-Sebastien Dea	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Schmaltz	Carl Dahlstrom	60	1	2	2
2	Taylor Fedun	Cody Goloubef	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matt Moulson	Justin Bailey	60	1	2	2
2	A.J. Greer	Vladislav Kamenev	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Schmaltz	Carl Dahlstrom	60	1	2	2
2	Taylor Fedun	Cody Goloubef	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Moulson	60	1	2	2	Jordan Schmaltz	Carl Dahlstrom	60	1	2	2
2	Justin Bailey	40	1	2	2	Taylor Fedun	Cody Goloubef	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matt Moulson	Justin Bailey	60	1	2	2
2	A.J. Greer	Vladislav Kamenev	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jordan Schmaltz	Carl Dahlstrom	60	1	2	2
2	Taylor Fedun	Cody Goloubef	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matt Moulson	Gabriel Fontaine	Justin Bailey	Jordan Schmaltz	Carl Dahlstrom

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matt Moulson	Gabriel Fontaine	Justin Bailey	Jordan Schmaltz	Carl Dahlstrom

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ethan Werek, Drew Miller, Max McCormick	Ethan Werek, Drew Miller	Max McCormick

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Taormina, Andreas Englund, Tim Erixon	Matt Taormina	Andreas Englund, Tim Erixon

Tirs de Pénalité
Matt Moulson, Justin Bailey, A.J. Greer, Vladislav Kamenev, Max McCormick

Gardien
#1 : Eddie Pasquale, #2 : Chris Driedger

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

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

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	Phantoms	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	0.800	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30
	Total	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	0.800	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30
	_Since Last GM Reset	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	0.800	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30
	_Vs Conference	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	0.800	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30
	_Vs Division	5	0	0	0	0	0	0	0	12	10	2	3	0	0	0	0	0	0	0	7	7	0	2	0	0	0	0	0	0	0	5	3	2	0	0.000	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30

			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
5	8	W3	12	21	33	114	121	36	91	80	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	12	10

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	7	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	5	3

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	1	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
46	9	19.57%	42	3	92.86%	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
29	47	38	0	1	5	6	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
94	175	53.71%	73	172	42.44%	34	57	59.65%

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
123	82	117	38	59	30

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
1 - 2019-04-06	3	Phantoms	2	Senators	3	W	Sommaire du Match
3 - 2019-04-08	11	Phantoms	5	Senators	1	L	Sommaire du Match
5 - 2019-04-10	19	Senators	3	Phantoms	2	W	Sommaire du Match
7 - 2019-04-12	27	Senators	2	Phantoms	1	W	Sommaire du Match
9 - 2019-04-14	35	Phantoms	0	Senators	3	W	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	35	15
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
35	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$	132,230$	110,750$	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$	4	0$	0$

Afficher ou Masquer des Colonnes

	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
13	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30
Total Séries	5	4	1	0	0	0	0	0	12	10	2	3	2	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	5	3	2	8	12	21	33	0	1	1	5	6	0	114	29	47	38	0	121	36	91	80	46	9	19.57%	42	3	92.86%	1	94	175	53.71%	73	172	42.44%	34	57	59.65%	123	82	117	38	59	30