Profi League - Senators

Senators
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Blessure/Suspension

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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	Jonathan Toews (C)	X				100.00	67	57	79	86	81	91	99	88	99	51	54	71	87	96	96	0	91	76	0
2	Zach Parise (A)		X	X		100.00	68	43	82	89	83	92	82	91	63	52	55	63	78	87	90	0	91	74	0
3	Tyler Toffoli		X	X		100.00	67	43	89	85	72	87	89	89	62	49	55	71	50	64	66	0	91	71	0
4	Mikkel Boedker		X	X		100.00	66	43	86	93	73	89	75	92	63	52	49	59	63	77	77	0	91	71	0
5	Kyle Turris	X				100.00	64	43	80	83	66	92	83	86	97	48	48	63	75	70	72	0	91	69	0
6	Leo Komarov		X	X		100.00	92	47	80	80	73	87	75	72	62	47	50	74	50	59	59	0	91	68	0
7	Nick Bonino	X	X			100.00	61	51	81	82	69	84	80	69	93	49	45	77	80	67	69	0	91	68	0
8	Shawn Matthias	X	X			100.00	67	45	88	78	85	78	86	67	61	45	47	68	50	71	72	0	91	67	0
9	Brad Richardson	X	X			100.00	66	56	80	77	67	83	78	66	95	46	45	72	50	74	77	0	90	66	0
10	Joonas Donskoi		X	X		100.00	62	41	89	83	70	79	68	69	62	49	45	61	63	54	54	0	93	63	0
11	Miikka Salomaki (R)		X	X		100.00	82	46	83	77	65	74	68	65	60	40	42	68	50	51	51	0	79	62	0
12	Robby Fabbri (R)	X	X	X		100.00	65	52	86	83	60	77	68	69	61	46	49	60	50	53	53	0	73	62	0
13	Alex Pietrangelo (A)				X	100.00	70	43	87	88	89	99	99	82	25	52	43	81	50	80	79	0	91	76	0
14	Jake Muzzin				X	100.00	84	46	77	88	82	93	95	78	25	51	43	78	50	77	68	0	80	74	0
15	Jay Bouwmeester				X	100.00	71	44	87	90	78	93	88	69	25	45	40	80	50	85	86	0	91	72	0
16	Radko Gudas				X	100.00	93	80	61	79	99	81	73	69	25	41	41	79	50	62	63	0	81	70	0
17	Nick Schultz				X	100.00	70	44	82	75	69	77	95	68	25	42	38	80	50	87	89	0	85	68	0
18	Klas Dahlbeck				X	100.00	85	46	85	75	73	70	88	61	25	41	39	78	50	56	56	0	87	65	0
Rayé
1	Brad Boyes			X		100.00	61	41	95	75	84	74	80	78	64	47	45	61	81	86	82	0	92	68	0
2	Jacob Josefson	X	X			100.00	68	43	86	79	63	82	71	72	87	42	40	70	90	64	65	0	90	65	0
3	Eric Gryba				X	100.00	82	99	65	73	96	77	80	69	25	41	38	77	50	63	64	0	82	68	0

	MOYENNE D'ÉQUIPE					100.00	72	50	82	82	76	84	82	75	57	46	45	71	60	71	71	0	88	69

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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	Cory Schneider	100.00	79	86	98	93	82	81	83	81	79	81	72	85	91	0	91	82	0
2	Thomas Greiss	100.00	80	83	83	86	78	77	80	76	77	79	69	77	73	0	91	77	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	80	85	91	90	80	79	82	79	78	80	71	81	82	0	91	80

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	80	81	83	85	84	81	68	USA	51	4	1,000,000$

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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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jonathan Toews	Senators		C	16	9	11	20	5	6	0	17	43	11	34	20.93%	18	22.:.45	3	5	8	0	0	56	2	1	53.82%	327	27	7	1	1	1.10	0	0
2	Tyler Toffoli	Senators		LW/RW	16	8	11	19	5	0	0	11	49	13	33	16.33%	11	20.:.29	2	5	7	0	0	33	2	0	60.00%	10	38	8	0	0	1.16	0	0
3	Zach Parise	Senators		LW/RW	16	8	10	18	5	10	0	19	49	23	38	16.33%	7	18.:.18	3	5	8	0	0	0	4	1	43.75%	16	41	1	0	0	1.23	0	0
4	Mikkel Boedker	Senators		LW/RW	16	4	5	9	3	0	0	19	46	11	30	8.70%	7	15.:.43	1	0	1	0	0	0	1	0	33.33%	9	52	3	0	0	0.72	0	0
5	Alex Pietrangelo	Senators		D	16	2	4	6	2	6	0	25	47	32	18	4.26%	39	26.:.45	1	0	1	0	0	54	0	0	0.00%	0	9	40	0	0	0.28	0	0
6	Radko Gudas	Senators		D	16	1	4	5	2	22	0	59	29	15	10	3.45%	21	21.:.49	0	2	2	0	0	24	0	0	0.00%	0	3	19	0	0	0.29	0	0
7	Leo Komarov	Senators		LW/RW	16	2	3	5	2	6	0	36	32	8	20	6.25%	10	21.:.12	0	1	1	0	0	56	0	0	29.41%	17	21	9	0	0	0.29	0	0
8	Kyle Turris	Senators		C	16	1	3	4	4	8	0	17	30	15	27	3.33%	5	15.:.56	0	0	0	0	0	0	0	0	46.24%	173	16	2	0	0	0.31	0	0
9	Nick Bonino	Senators		C/LW	16	0	4	4	-1	0	0	17	31	10	14	0.00%	11	16.:.48	0	1	1	0	0	31	0	0	52.29%	153	20	8	0	0	0.30	0	0
10	Nick Schultz	Senators		D	16	0	3	3	3	6	0	13	17	7	8	0.00%	18	16.:.42	0	0	0	0	0	22	0	0	0.00%	0	3	16	0	0	0.22	0	0
11	Jake Muzzin	Senators		D	15	0	3	3	2	25	5	28	32	11	10	0.00%	34	22.:.05	0	0	0	0	0	27	0	0	0.00%	0	10	15	0	0	0.18	0	0
12	Jay Bouwmeester	Senators		D	16	0	2	2	2	0	0	29	18	2	9	0.00%	51	25.:.23	0	0	0	0	0	61	0	0	0.00%	0	10	28	0	0	0.10	0	0
13	Shawn Matthias	Senators		C/LW	16	1	1	2	-1	0	0	8	14	6	9	7.14%	6	12.:.04	0	0	0	0	0	0	0	0	50.00%	4	9	3	0	0	0.21	0	0
14	Brad Boyes	Senators		RW	15	1	1	2	0	0	0	2	19	6	12	5.26%	0	06.:.52	0	0	0	0	0	0	0	0	0.00%	0	11	1	0	0	0.39	0	0
15	Jacob Josefson	Senators		C/LW	12	1	0	1	1	0	0	11	7	2	6	14.29%	0	08.:.00	0	0	0	0	0	0	1	0	33.33%	3	5	1	0	0	0.21	0	0
16	Brad Richardson	Senators		C/LW	16	1	0	1	0	10	0	10	13	5	8	7.69%	2	11.:.59	0	0	0	0	0	9	0	0	43.48%	69	6	2	0	0	0.10	0	0
17	Eric Gryba	Senators		D	13	0	1	1	1	18	0	30	5	10	13	0.00%	16	14.:.19	0	0	0	0	0	2	0	0	0.00%	0	1	8	0	0	0.11	0	0
18	Miikka Salomaki	Senators		LW/RW	3	0	0	0	0	0	0	3	0	0	0	0.00%	0	05.:.52	0	0	0	0	0	0	0	0	0.00%	0	2	1	0	0	0.00	0	0
19	Robby Fabbri	Senators		C/LW/RW	3	0	0	0	-1	0	0	0	0	1	3	0.00%	2	11.:.28	0	0	0	0	0	1	0	0	50.00%	2	2	0	0	0	0.00	0	0
20	Joonas Donskoi	Senators		LW/RW	15	0	0	0	0	0	0	14	24	4	20	0.00%	2	14.:.26	0	0	0	0	0	2	0	0	33.33%	12	19	0	0	0	0.00	0	0
21	Klas Dahlbeck	Senators		D	4	0	0	0	1	0	0	5	1	0	0	0.00%	3	13.:.31	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			288	39	66	105	35	117	5	373	394	506	192	322	7.71%	263	4975	17.28	10	19	29	40	228	0	0	9	385	10	2	49.69%	795	305	174	1	1	0.42	0	0	0	0	0	5	8	10

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cory Schneider	Senators	15	10	3	2	94.7%	1.70	954	2	0	27	508	299	0	0.0%	0	15	1	4	3	1
2	Thomas Greiss	Senators	1	0	1	0	92.6%	2.03	59	0	0	2	27	20	0	0.0%	0	1	15	0	0	0
Stats d'équipe Total ou en Moyenne		16	10	4	2	0.946	1.72	1013	2	0	29	535	319	0	0.000	0	16	16	4	3	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alex Pietrangelo	Senators	D	27	18.1.1990	No	201 Lbs	6 ft3	Yes	No	4	Sans Restriction	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	5,400,000$	Lien
Brad Boyes	Senators	RW	35	17.4.1982	No	195 Lbs	6 ft0	No	No	1	Sans Restriction	Pro Only	1,300,000$				Lien
Brad Richardson	Senators	C/LW	32	4.2.1985	No	197 Lbs	6 ft0	No	No	2	Sans Restriction	Pro Only	1,500,000$	1,500,000$			Lien
Cory Schneider	Senators	G	31	18.3.1986	No	205 Lbs	6 ft2	Yes	No	4	Sans Restriction	Pro & Farm	6,200,000$	6,200,000$	6,200,000$	6,200,000$	Lien
Eric Gryba	Senators	D	29	18.4.1988	No	225 Lbs	6 ft4	No	No	1	Sans Restriction	Pro Only	1,500,000$				Lien
Jacob Josefson	Senators	C/LW	26	2.3.1991	No	190 Lbs	5 ft11	No	No	1	Avec Restriction	Pro Only	1,000,000$				Lien
Jake Muzzin	Senators	D	28	21.2.1989	No	214 Lbs	6 ft3	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$		Lien
Jay Bouwmeester	Senators	D	33	27.9.1983	No	212 Lbs	6 ft4	Yes	No	4	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	Lien
Jonathan Toews	Senators	C	29	29.4.1988	No	201 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$	8,000,000$		Lien
Joonas Donskoi (Contrat à 1 Volet)	Senators	LW/RW	25	13.4.1992 16:57:20	No	180 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	1,700,000$				Lien
Klas Dahlbeck	Senators	D	25	6.7.1991 11:27:27	No	207 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	1,200,000$				Lien
Kyle Turris	Senators	C	27	14.8.1989	No	191 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$			Lien
Leo Komarov	Senators	LW/RW	30	23.1.1987 2:45:34	No	198 Lbs	5 ft11	No	No	3	Sans Restriction	Pro & Farm	2,900,000$	2,900,000$	2,900,000$		Lien
Miikka Salomaki	Senators	LW/RW	24	9.3.1993 15:09:23	Yes	198 Lbs	5 ft11	No	No	2	Avec Restriction	Pro Only	900,000$	900,000$			Lien
Mikkel Boedker	Senators	LW/RW	27	16.12.1989	No	211 Lbs	6 ft0	No	No	3	Sans Restriction	Pro & Farm	3,900,000$	3,900,000$	3,900,000$		Lien
Nick Bonino	Senators	C/LW	29	20.4.1988	No	196 Lbs	6 ft1	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$		Lien
Nick Schultz	Senators	D	34	25.8.1982	No	203 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	2,000,000$				Lien
Radko Gudas	Senators	D	26	5.6.1990	No	204 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	2,600,000$	2,600,000$			Lien
Robby Fabbri	Senators	C/LW/RW	21	22.1.1996 16:54:46	Yes	170 Lbs	5 ft10	No	No	3	Contrat d'Entrée	Pro & Farm	1,600,000$	1,600,000$	1,600,000$		Lien
Shawn Matthias	Senators	C/LW	29	19.2.1988	No	223 Lbs	6 ft4	No	No	1	Sans Restriction	Pro Only	1,000,000$				Lien
Thomas Greiss	Senators	G	31	29.1.1986	No	220 Lbs	6 ft1	No	No	1	Sans Restriction	Pro Only	1,000,000$				Lien
Tyler Toffoli	Senators	LW/RW	25	24.4.1992 14:40:36	No	196 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	4,400,000$	4,000,000$			Lien
Zach Parise	Senators	LW/RW	32	28.7.1984	No	197 Lbs	5 ft11	No	No	4	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.48	201 Lbs	6 ft1	2.26	2,939,130$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Richardson	Nick Bonino	Leo Komarov	30	0	5	0
2	Mikkel Boedker	Jonathan Toews	Zach Parise	30	0	2	3
3	Joonas Donskoi	Kyle Turris	Tyler Toffoli	30	1	2	2
4	Shawn Matthias	Jonathan Toews	Robby Fabbri	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Radko Gudas	45	1	2	2
2	Jake Muzzin	Jay Bouwmeester	40	0	3	2
3	Klas Dahlbeck	Nick Schultz	15	1	3	1
4	Alex Pietrangelo	Radko Gudas	0	0	2	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Leo Komarov	Jonathan Toews	Zach Parise	70	0	0	5
2	Nick Bonino	Kyle Turris	Mikkel Boedker	30	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Toffoli	Alex Pietrangelo	70	0	1	4
2	Jake Muzzin	Jay Bouwmeester	30	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Toews	Leo Komarov	55	1	4	0
2	Nick Bonino	Tyler Toffoli	45	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Jay Bouwmeester	55	1	4	0
2	Nick Schultz	Radko Gudas	45	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Bonino	50	0	5	0	Alex Pietrangelo	Jay Bouwmeester	50	1	4	0
2	Jonathan Toews	50	0	5	0	Nick Schultz	Radko Gudas	50	2	3	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Toews	Zach Parise	50	0	1	4
2	Kyle Turris	Tyler Toffoli	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alex Pietrangelo	Radko Gudas	55	1	2	2
2	Jake Muzzin	Jay Bouwmeester	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tyler Toffoli	Jonathan Toews	Zach Parise	Alex Pietrangelo	Jake Muzzin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Bonino	Jonathan Toews	Leo Komarov	Alex Pietrangelo	Jay Bouwmeester

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zach Parise, Mikkel Boedker, Shawn Matthias	Robby Fabbri, Joonas Donskoi	Brad Richardson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alex Pietrangelo, Jake Muzzin, Nick Schultz	Radko Gudas	Jake Muzzin, Nick Schultz

Tirs de Pénalité
Jonathan Toews, Zach Parise, Kyle Turris, Robby Fabbri, Nick Bonino

Gardien
#1 : Cory Schneider, #2 : Thomas Greiss

Lignes d'Attaque Perso. en Prol.
Jonathan Toews, Zach Parise, Tyler Toffoli, , Leo Komarov, Kyle Turris, Kyle Turris, , , Mikkel Boedker,

Lignes de Défense Perso. en Prol.
Alex Pietrangelo, , Jay Bouwmeester, Radko Gudas,

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

#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Penguins	4	4	0	13	5	8	8	1.000	13	22	35	5	4	2	2	142	46	46	38	12	128	61	24	89	9	3	33.33%	12	0	100.00%	141	295	47.80%	162	330	49.09%	92	170	54.12%	99	68	96	33	60	29
2	Capitals	6	2	4	11	13	-2	4	0.333	11	19	30	3	5	3	0	172	59	63	49	1	181	94	55	152	11	4	36.36%	23	7	69.57%	141	295	47.80%	162	330	49.09%	92	170	54.12%	134	85	137	46	89	44
3	Predators	6	4	2	15	11	4	8	0.667	15	25	40	6	7	0	2	192	71	42	58	21	226	108	40	132	13	3	23.08%	20	0	100.00%	141	295	47.80%	162	330	49.09%	92	170	54.12%	143	93	156	53	97	47
	Vs Division	10	8	2	28	16	12	16	0.800	28	47	75	11	11	2	4	334	117	88	96	33	354	169	64	221	22	6	27.27%	32	0	100.00%	141	295	47.80%	162	330	49.09%	92	170	54.12%	243	161	252	86	157	76
	Vs Conference	16	10	6	39	29	10	20	0.625	39	66	105	14	16	5	4	506	176	151	145	34	535	263	119	373	33	10	30.30%	55	7	87.27%	141	295	47.80%	162	330	49.09%	92	170	54.12%	377	247	390	133	247	121
	Since Last GM Reset	16	10	6	39	29	10	20	0.625	39	66	105	14	16	5	4	506	176	151	145	34	535	263	119	373	33	10	30.30%	55	7	87.27%	141	295	47.80%	162	330	49.09%	92	170	54.12%	377	247	390	133	247	121
	Total	16	10	6	39	29	10	20	0.625	39	66	105	14	16	5	4	506	176	151	145	34	535	263	119	373	33	10	30.30%	55	7	87.27%	141	295	47.80%	162	330	49.09%	92	170	54.12%	377	247	390	133	247	121

			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	20	OTL1	39	66	105	506	535	263	119	373	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	10	6	0	0	0	0	39	29

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	3	0	0	0	0	22	14

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	3	0	0	0	0	17	15

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	4	2	2	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
33	10	30.30%	55	7	87.27%	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
176	151	145	34	14	16	5	4

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
141	295	47.80%	162	330	49.09%	92	170	54.12%

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
377	247	390	133	247	121

Derniers Match Joués

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

Date		Result	Detail
Fri, Nov 22	@	Penguins1,Senators5	RECAP
Sun, Nov 24	@	Penguins1,Senators3	RECAP
Tue, Nov 26	@	Senators3,Penguins2 (OT)	RECAP
Thu, Nov 28	@	Senators2,Penguins1 (OT)	RECAP
Fri, Dec 6	@	Predators1,Senators3	RECAP
Sun, Dec 8	@	Predators2,Senators4	RECAP
Tue, Dec 10	@	Senators3,Predators2 (OT)	RECAP
Thu, Dec 12	@	Senators1,Predators2	RECAP
Sat, Dec 14	@	Predators3,Senators2	RECAP
Mon, Dec 16	@	Senators2,Predators1 (OT)	RECAP
Fri, Dec 20	@	Senators1,Capitals2 (OT)	RECAP
Sun, Dec 22	@	Senators2,Capitals4	RECAP
Tue, Dec 24	@	Capitals3,Senators2	RECAP
Thu, Dec 26	@	Capitals1,Senators2	RECAP
Sat, Dec 28	@	Senators3,Capitals1	RECAP
Mon, Dec 30	@	Capitals2,Senators1 (OT)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7278	3831	4788	1915	1341
Prix des Billets	122	67	44	32	228
Assistance	54790	28482	35990	13965	9903
Attendance PCT	94.10%	92.93%	93.96%	91.16%	92.31%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
33	17891 - 93.41%	2,271,760$	18,174,077$	19153	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
67,600,000$	4,700,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
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$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	26,211,931$	26,211,931$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Zach Parise	AGE:32	PO:0	OV:74
Tyler Toffoli	AGE:25	PO:0	OV:71
Mikkel Boedker	AGE:27	PO:0	OV:71
Leo Komarov	AGE:30	PO:0	OV:68
Nick Bonino	AGE:29	PO:0	OV:68
Shawn Matthias	AGE:29	PO:0	OV:67
Brad Richardson	AGE:32	PO:0	OV:66
Jacob Josefson	AGE:26	PO:0	OV:65
Joonas Donskoi	AGE:25	PO:0	OV:63
*Miikka Salomaki	AGE:24	PO:0	OV:62
*Robby Fabbri	AGE:21	PO:0	OV:62
Sergei Plotnikov	AGE:26	PO:0	OV:57
Tom Kuhnhackl	AGE:25	PO:0	OV:57
Viktor Tikhonov	AGE:29	PO:0	OV:56
Daniel Catenacci	AGE:24	PO:0	OV:54
*Stefan Noesen	AGE:24	PO:0	OV:54
*Brian Hart	AGE:23	PO:0	OV:49

Jonathan Toews	AGE:29	PO:0	OV:76
Kyle Turris	AGE:27	PO:0	OV:69
Nick Bonino	AGE:29	PO:0	OV:68
Shawn Matthias	AGE:29	PO:0	OV:67
Brad Richardson	AGE:32	PO:0	OV:66
Jacob Josefson	AGE:26	PO:0	OV:65
*Robby Fabbri	AGE:21	PO:0	OV:62
*Michael McCarron	AGE:22	PO:0	OV:56
Viktor Tikhonov	AGE:29	PO:0	OV:56
Daniel Catenacci	AGE:24	PO:0	OV:54
Jordan Weal	AGE:25	PO:0	OV:53
*Tanner Richard	AGE:24	PO:0	OV:53
*Felix Girard	AGE:23	PO:0	OV:50
*Mark MacMillan	AGE:25	PO:0	OV:49

Zach Parise	AGE:32	PO:0	OV:74
Tyler Toffoli	AGE:25	PO:0	OV:71
Mikkel Boedker	AGE:27	PO:0	OV:71
Brad Boyes	AGE:35	PO:0	OV:68
Leo Komarov	AGE:30	PO:0	OV:68
Steve Bernier	AGE:32	PO:0	OV:64
Joonas Donskoi	AGE:25	PO:0	OV:63
*Miikka Salomaki	AGE:24	PO:0	OV:62
*Robby Fabbri	AGE:21	PO:0	OV:62
Sergei Plotnikov	AGE:26	PO:0	OV:57
Tom Kuhnhackl	AGE:25	PO:0	OV:57
*Michael McCarron	AGE:22	PO:0	OV:56
Viktor Tikhonov	AGE:29	PO:0	OV:56
*Zack Mitchell	AGE:24	PO:0	OV:55
*Stefan Noesen	AGE:24	PO:0	OV:54
Jordan Weal	AGE:25	PO:0	OV:53
*Brian Hart	AGE:23	PO:0	OV:49
*Mark MacMillan	AGE:25	PO:0	OV:49

Défense #1

Défense #2

Gardien

Alex Pietrangelo	AGE:27	PO:0	OV:76
Jake Muzzin	AGE:28	PO:0	OV:74
Jay Bouwmeester	AGE:33	PO:0	OV:72
Radko Gudas	AGE:26	PO:0	OV:70
Nick Schultz	AGE:34	PO:0	OV:68
Eric Gryba	AGE:29	PO:0	OV:68
Klas Dahlbeck	AGE:25	PO:0	OV:65
Chris Wideman	AGE:27	PO:0	OV:62

*Scott Harrington	AGE:24	PO:0	OV:61
*Dylan Blujus	AGE:23	PO:0	OV:60
Jakub Nakladal	AGE:29	PO:0	OV:58
*Oliver Kylington	AGE:20	PO:0	OV:54
Danny Biega	AGE:25	PO:0	OV:53
*Joey LaLeggia	AGE:24	PO:0	OV:53
*Matt Finn	AGE:23	PO:0	OV:53
*Patrick McNally	AGE:25	PO:0	OV:50

Cory Schneider	AGE:31	PO:0	OV:82
Thomas Greiss	AGE:31	PO:0	OV:77
*Jason Kasdorf	AGE:25	PO:0	OV:66
Richard Bachman	AGE:29	PO:0	OV:66
Rasmus Tirronen	AGE:26	PO:0	OV:61

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adin Hill	Senators	2015	95
Alexander Salak	Senators
Artur Tyanulin	Senators	2016	178
Cam Johnson	Senators	2016	230
Casey DeSmith	Senators	2016	229
Casey Fitzgerald	Senators	2015	185
Cavan Fitzgerald	Senators	2016	244
Chase Pearson	Senators	2016	190
Daniel Brodin	Senators
Denis Guryanov	Senators	2015	31
Dmytro Timashov	Senators	2015	65
Eero Elo	Senators
Jack Glover	Senators	2014	53
Jake Morrissey	Senators	2015	201
Jeff Costello	Senators
Jens Looke	Senators	2015	94
John McCarron	Senators	2012	231
John Piccinich	Senators	2014	101
Jonas Johansson	Senators	2014	85
Joren Van Pottelberghe	Senators	2015	239
Kendall McFaull	Senators
Luc Snuggerud	Senators	2014	125
Michael Carcone	Senators	2016	221
Nikita Filatov	Senators
Niklas Hansson	Senators	2013	65
Niklas Lundstrom	Senators	2011	154
Ondrej Vala	Senators	2016	243
Pavel Jenys	Senators	2014	191
Roberts Lipsbergs	Senators	2013	157
Roope Hintz	Senators	2015	47
Samuel Kurker	Senators	2012	142
Taylor Cammarata	Senators	2013	97
Troy Rutkowski	Senators
Tyler Kelleher	Senators	2016	222
Ziyat Paigin	Senators	2016	104

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	OTT NJD	OTT	FLA	OTT TOR		OTT
2018	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2019	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2020	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2021	OTT	OTT	OTT	OTT	OTT	OTT	OTT

[15.10.2016 22:22:14] - TRADE : From Senators to Flyers : Curtis Hamilton (54), Jim O'Brien (56).
[20.10.2016 5:20:38] - Casey DeSmith has been added to Senators.
[20.10.2016 5:20:53] - Cam Johnson has been added to Senators.
[20.10.2016 5:21:10] - Ondrej Vala has been added to Senators.
[20.10.2016 5:21:20] - Cavan Fitzgerald has been added to Senators.
[5.11.2016 21:43:03] - TRADE : From Coyotes to Senators : Y:2017-RND:6-ARI.
[5.11.2016 21:43:03] - TRADE : From Senators to Coyotes : Nate Prosser (61).
[6.11.2016 22:24:27] - Zach Parise is no longer captain for Senators.
[6.11.2016 22:24:27] - Jonathan Toews has been selected as captain for Senators.
[6.11.2016 22:24:27] - Jonathan Toews is no longer as assistant for Senators.
[6.11.2016 22:24:27] - Zach Parise has been selected as assistant for Senators.
[23.12.2016 20:37:18] - Unknown Player is no longer captain for Senators.
[23.12.2016 20:37:18] - Steve Bernier has been selected as captain for Senators.
[23.12.2016 20:37:18] - Unknown Player is no longer as assistant for Senators.
[23.12.2016 20:37:18] - Robby Fabbri has been selected as assistant for Senators.
[23.12.2016 20:37:18] - Unknown Player is no longer as assistant for Senators.
[23.12.2016 20:37:18] - Chris Wideman has been selected as assistant for Senators.
[6.2.2017 21:28:43] - Nick Schultz was added to Senators.
[6.2.2017 21:28:44] - TRADE : From Senators to Devils : Y:2017-RND:6-ARI.
[6.2.2017 21:28:44] - TRADE : From Devils to Senators : Nick Schultz (68).
[26.2.2017 22:42:48] - Shawn Matthias was added to Senators.
[26.2.2017 22:42:49] - TRADE : From Panthers to Senators : Shawn Matthias (67).
[26.2.2017 22:42:49] - TRADE : From Senators to Panthers : Y:2017-RND:5-OTT.
[26.2.2017 22:44:35] - TRADE : From Maple Leafs to Senators : Y:2017-RND:4-TOR.
[3.4.2017 20:33:30] - Steve Bernier is no longer captain for Senators.
[3.4.2017 20:33:30] - Scott Harrington has been selected as captain for Senators.
[3.4.2017 20:33:30] - Unknown Player is no longer as assistant for Senators.
[3.4.2017 20:33:30] - Viktor Tikhonov has been selected as assistant for Senators.
[3.4.2017 20:33:30] - Unknown Player is no longer as assistant for Senators.
[3.4.2017 20:33:30] - Robby Fabbri has been selected as assistant for Senators.
[8.5.2017 21:00:10] - Senators was eliminated at round 3 of year 2016.
[11.5.2017 0:04:50] - Senators was eliminated at round 3 of year 2016.

Steve Bernier est suspendu pour 1 plusieurs matchs.

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