Canadian Hockey League

Senators
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Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Lightning 1-12-2, 4pts	0	FINAL	9	Senators 14-1-0, 28pts

Team Stats
L3	Streak	OTW1
0-6-2	Home Record	8-1-0
1-6-0	Away Record	6-0-0
1-8-1	Last 10 Games	9-1-0
2.47	Goals Per Game	4.47
5.60	Goals Against Per Game	2.87
14.06%	Power Play Percentage	24.05%
67.61%	Penalty Kill Percentage	87.14%

Devils
5-6-2, 12pts

FINAL

Senators
14-1-0, 28pts

Team Stats
OTL1	Streak	OTW1
3-4-0	Home Record	8-1-0
2-2-2	Away Record	6-0-0
3-5-2	Last 10 Games	9-1-0
2.46	Goals Per Game	4.47
2.77	Goals Against Per Game	2.87
17.86%	Power Play Percentage	24.05%
81.54%	Penalty Kill Percentage	87.14%

GoldenKnights
4-9-2, 10pts

Jour 36

Senators
14-1-0, 28pts

Stats Équipe
L3	Séquence	OTW1
2-4-1	Fiche domicile	8-1-0
2-5-1	Fiche visiteur	6-0-0
2-7-1	10 derniers matchs	9-1-0
3.60	Buts par match	4.47
4.73	Buts contre par match	2.87
20.00%	Pourcentage en avantage numérique	24.05%
79.03%	Pourcentage en désavantage numérique	87.14%

Senators
14-1-0, 28pts

Jour 38

Lightning
1-12-2, 4pts

Stats Équipe
OTW1	Séquence	L3
8-1-0	Fiche domicile	0-6-2
6-0-0	Fiche visiteur	1-6-0
9-1-0	10 derniers matchs	1-8-1
4.47	Buts par match	2.47
2.87	Buts contre par match	5.60
24.05%	Pourcentage en avantage numérique	14.06%
87.14%	Pourcentage en désavantage numérique	67.61%

Senators
14-1-0, 28pts

Jour 39

Panthers
4-7-0, 8pts

Stats Équipe
OTW1	Séquence	OTW1
8-1-0	Fiche domicile	0-4-0
6-0-0	Fiche visiteur	4-3-0
9-1-0	10 derniers matchs	3-7-0
4.47	Buts par match	2.55
2.87	Buts contre par match	3.55
24.05%	Pourcentage en avantage numérique	12.50%
87.14%	Pourcentage en désavantage numérique	85.45%

Meneurs d'équipe
	Buts William Karlsson 11	Passes Quinn Hughes 14

	Points William Karlsson 23	Plus/Moins Ian Cole 9

	Victoires Pyotr Kochetkov 8	Pourcentage d’arrêts Pyotr Kochetkov 0.917

Stats Équipe
Buts pour 67 4.47 GFG	Tirs pour 594 39.60 Avg	Pourcentage en avantage numérique 24.1% 19 GF	Début de zone offensive 44.7%
Buts contre 43 2.87 GAA	Tirs contre 446 29.73 Avg	Pourcentage en désavantage numérique 87.1% 9 GA	Début de la zone défensive 37.7%

Blessure/Suspension
	Dillon Dube est suspendu indéfiniment.

Information d’équipe
	Directeur général	Guy Morin
	Entraîneur	Brock Sheahan
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Sean Monahan
	Assistant #1	Andrei Svechnikov
	Assistant #2	Quinn Hughes
Uniformes

Informations de l’aréna
	Nom	GFS Center
	Capacité	25,000
	Assistance	16,065
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	28
	Limite contact	50 / 50
	Espoirs	27
Plafond salarial
	Cap Salarial de la Saison estimé	75,464,776$
	Plafond salarial disponible	9,535,224$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	15,991,744$
	Dépenses annuelles à ce jour	15,331,868$
	Revenus de la saison estimés	56,859,534$
	Dépenses de la saison estimées	62,632,856$
	Compte bancaire actuel	151,920,185$
	Compte bancaire projeté	142,586,895$
Historique d'équipe
	Saison actuelle	14-1-0 (28PTS)
	Historique	692-759-124 (0.439%)
	Apparitions séries éliminatoires	5
	Historique séries éliminatoires (W-L)	31-27
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	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 Karlsson	X				98.00	54	46	84	91	56	84	91	80	91	75	85	88	70	86	85	35	52	77	0	31	2	6,000,000$
2	Andrei Svechnikov (A)			X		100.00	96	49	70	90	63	83	83	81	40	86	76	67	84	72	78	70	52	75	0	24	2	7,500,000$
3	Sean Monahan (C)	X				100.00	48	51	87	86	66	85	99	74	90	73	76	79	78	84	85	40	52	74	0	30	2	9,000,000$
4	Sean Couturier	X				100.00	59	57	82	80	74	84	94	66	89	70	62	82	70	88	86	30	52	72	0	32	3	7,278,000$
5	Anders Lee		X			100.00	91	68	73	79	81	81	98	64	40	57	70	74	40	92	87	20	52	71	0	34	2	3,200,000$
6	Josh Norris	X				100.00	80	49	81	84	63	84	77	70	87	63	76	73	78	74	79	65	32	71	0	25	6	7,000,000$
7	Logan O'Connor			X		100.00	65	49	78	84	49	79	82	63	80	57	69	95	40	80	80	50	52	70	0	28	3	3,000,000$
8	Morgan Geekie		X			100.00	82	52	83	81	68	80	95	66	79	64	68	70	40	76	78	60	49	70	0	26	4	2,500,000$
9	Alexandre Texier			X		100.00	57	50	80	80	64	80	96	61	40	59	63	79	99	74	77	65	39	68	0	25	3	2,800,000$
10	Ryan Donato		X			100.00	71	51	83	82	56	78	96	61	79	59	63	72	79	80	79	50	52	68	0	28	2	2,300,000$
11	Alexander Nylander		X			100.00	50	47	86	84	59	82	62	67	40	52	82	68	40	76	79	60	52	66	0	26	1	2,221,600$
12	Mike Amadio	X				100.00	55	49	86	80	63	77	93	60	87	55	66	70	40	80	79	50	52	66	0	28	3	2,100,000$
13	Quinn Hughes (A)				X	100.00	48	41	81	99	47	91	99	95	40	99	76	80	40	74	83	65	52	78	0	25	4	1$
14	Niko Mikkola				X	100.00	97	57	73	75	74	83	99	54	40	54	55	76	40	80	82	50	53	72	0	28	1	850,000$
15	Ian Cole				X	100.00	65	63	74	75	76	81	96	51	40	49	53	80	40	94	88	15	52	71	0	35	1	3,000,000$
16	Dmitry Kulikov				X	100.00	85	50	73	78	64	77	95	56	40	61	52	76	65	92	85	20	52	71	0	34	2	2,000,000$
17	Derek Forbort				X	100.00	86	62	80	75	77	79	67	50	40	49	50	83	40	88	84	30	47	70	0	32	1	3,000,000$
18	Juuso Valimaki				X	100.00	64	52	86	77	68	82	89	56	40	58	54	75	40	76	79	60	52	69	0	26	1	3,125,000$
Rayé
1	Dominik Kubalik		X			100.00	57	51	85	76	61	75	94	53	40	44	62	55	40	82	79	45	20	60	0	29	1	5,000,000$
2	Dillon Dube	X				HO	59	44	86	78	52	74	72	52	88	48	56	63	73	76	75	60	20	60	0	26	1	3,000,000$
Équipe Mineure
1	Oskar Sundqvist	X				100.00	67	56	81	76	77	77	92	57	77	57	57	78	40	84	81	40	21	66	0	30	2	2,000,000$
2	Paul Cotter			X		100.00	99	54	79	77	72	76	95	58	40	59	58	65	57	74	75	65	29	65	0	25	1	1,500,000$
3	Seth Griffith			X		100.00	51	43	81	84	48	77	67	63	40	70	48	64	90	86	82	35	21	63	0	31	1	650,000$
4	Joe Snively		X			100.00	48	39	82	83	43	78	68	60	40	70	47	68	40	80	79	50	20	62	0	28	1	696,000$
5	Tanner Laczynski		X			100.00	62	47	82	82	58	60	50	62	40	65	58	70	40	78	69	55	21	62	0	27	3	975,000$
6	Tomas Nosek		X			100.00	61	53	87	75	70	74	68	52	87	49	55	71	40	88	81	30	20	62	0	32	2	2,000,000$
7	Grigori Denisenko			X		100.00	66	44	75	82	57	74	64	60	40	65	55	50	40	72	73	70	21	61	0	24	1	1,017,500$
8	Fredrik Karlstrom	X				100.00	57	52	87	75	63	81	71	50	70	46	54	70	40	76	79	60	20	61	0	26	2	950,000$
9	Cole Guttman	X				100.00	50	45	85	83	40	76	62	57	85	52	62	65	40	74	75	65	21	61	0	25	1	750,000$
10	Brian Halonen (R)		X			100.00	60	55	79	87	64	60	50	59	40	41	70	65	40	74	67	65	21	60	0	25	1	575,000$
11	Fedor Svechkov (R)	X				100.00	54	42	84	85	66	66	56	53	70	53	53	70	40	66	66	85	19	60	0	21	3	925,000$
12	Zack Ostapchuk (R)			X		100.00	69	65	76	80	72	78	68	42	70	33	50	69	40	66	72	85	32	58	0	21	3	925,000$
13	Matt Benning				X	100.00	72	50	70	75	65	80	53	51	40	52	50	83	40	84	82	40	32	67	0	30	3	2,000,000$
14	Cale Fleury				X	100.00	95	50	84	75	66	69	64	50	40	57	43	70	40	76	73	60	21	65	0	26	1	750,000$
15	Ilya Solovyov				X	100.00	73	53	82	76	71	76	50	57	40	65	50	71	40	72	74	70	32	65	0	24	1	825,000$
16	Joe Hicketts				X	100.00	76	39	83	80	41	55	50	53	40	70	34	70	40	80	68	50	21	62	0	28	2	950,000$
17	Declan Carlile (R)				X	100.00	53	49	81	87	56	65	60	46	40	47	44	70	40	72	69	70	21	61	0	24	3	950,000$
18	Jujhar Khaira	X				100.00	90	67	81	76	75	60	50	59	70	68	49	70	40	84	72	40	19	63	0	30	2	1,750,000$
19	Carl Grundstrom			X		100.00	94	48	85	78	61	73	77	55	40	47	63	67	65	78	76	55	21	63	0	27	2	1,975,000$
20	Nathan Bastian			X		100.00	99	61	78	75	72	72	80	54	40	51	58	68	40	78	75	55	29	63	0	27	1	1,496,000$
21	Nikita Nesterenko (R)	X				100.00	51	40	79	85	62	79	69	47	70	45	49	66	40	70	75	75	20	59	0	23	2	750,000$
22	Cole Reinhardt		X			100.00	73	65	63	75	71	65	55	42	40	42	42	62	40	72	69	70	21	55	0	24	2	700,000$
23	Francesco Pinelli (R)		X			100.00	57	57	83	86	56	76	66	37	40	29	46	51	40	66	71	85	20	53	0	21	3	925,000$
24	Nikita Novikov (R)				X	100.00	62	50	77	80	74	69	64	40	40	45	36	70	40	66	68	85	19	62	0	21	3	925,000$
25	David Spacek (R)				X	100.00	51	46	83	87	56	65	60	34	40	32	36	50	40	66	66	85	20	55	0	21	3	925,000$

	MOYENNE D’ÉQUIPE					99.96	68	51	80	81	63	76	75	57	55	56	57	71	50	78	77	55	33	65

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	Âge	Contrat	Salaire
1	Pyotr Kochetkov	100.00	94	81	84	92	84	83	83	84	82	82	89	74	79	65	56	82	0	25	3	3,400,000$
2	Joel Hofer	100.00	94	66	66	90	80	87	81	85	79	80	95	72	80	70	36	80	0	24	3	2,300,000$
Rayé
Équipe Mineure
1	Colten Ellis (R)	100.00	89	50	60	84	62	56	58	60	58	60	50	72	64	70	31	63	0	24	2	750,000$
2	Magnus Chrona (R)	100.00	82	58	60	92	50	50	50	50	50	50	50	72	61	70	29	58	0	24	1	575,000$
3	Jet Greaves	100.00	81	76	82	79	60	61	54	57	60	50	95	70	66	75	22	63	0	23	1	925,000$

	MOYENNE D’ÉQUIPE	100.00	88	66	70	87	67	67	65	67	66	64	76	72	70	70	35	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Brock Sheahan	48	70	60	59	68	75	92	CAN	40	5	2,500,000$

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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	William Karlsson	Senators	C	15	11	12	23	0	0	0	1	50	96	23	39	11.46%	7	314	20.94	2	10	12	33	65	4	54	3	0	55.46%	467	2	1.46	0	0	0	4	0	0
2	Quinn Hughes	Senators	D	15	7	14	21	-3	2	0	5	26	47	15	25	14.89%	13	373	24.92	5	6	11	29	66	2	59	2	1	0.00%	0	0	1.12	0	0	0	0	3	0
3	Sean Couturier	Senators	C	15	5	12	17	1	6	0	11	33	35	22	35	14.29%	3	293	19.55	3	6	9	13	63	3	66	0	0	58.49%	106	0	1.16	0	0	0	0	2	1
4	Sean Monahan	Senators	C	15	8	7	15	3	2	0	2	38	60	17	32	13.33%	3	280	18.70	2	3	5	21	62	2	46	0	0	57.69%	364	1	1.07	0	0	0	3	0	0
5	Andrei Svechnikov	Senators	RW	15	2	11	13	-1	12	0	46	21	54	15	43	3.70%	0	260	17.36	2	4	6	16	65	0	0	0	0	15.79%	19	0	1.00	0	1	0	0	3	0
6	Josh Norris	Senators	C	14	6	7	13	5	16	0	45	25	57	14	33	10.53%	2	253	18.14	2	2	4	20	54	0	9	0	0	58.31%	331	1	1.02	0	1	0	1	1	1
7	Alexander Nylander	Senators	LW	15	6	5	11	7	0	0	0	8	49	18	33	12.24%	3	240	16.01	3	1	4	9	63	0	1	2	1	9.52%	21	0	0.92	0	0	0	2	0	1
8	Anders Lee	Senators	LW	15	3	7	10	0	10	0	39	9	31	15	23	9.68%	2	270	18.01	0	2	2	10	62	1	9	1	0	32.00%	25	0	0.74	0	0	0	0	0	1
9	Morgan Geekie	Senators	LW	14	6	4	10	8	6	0	12	13	29	6	22	20.69%	2	188	13.44	0	1	1	13	36	0	0	1	0	40.00%	5	0	1.06	0	0	0	2	0	0
10	Mike Amadio	Senators	C	15	4	5	9	4	0	0	1	16	24	5	10	16.67%	1	181	12.13	1	1	2	1	27	1	10	1	0	52.57%	175	0	0.99	0	0	0	0	0	0
11	Logan O'Connor	Senators	RW	14	2	7	9	-3	6	0	16	19	31	12	30	6.45%	5	195	13.97	0	0	0	0	0	3	46	0	0	65.00%	20	0	0.92	0	0	0	0	0	1
12	Alexandre Texier	Senators	RW	14	4	2	6	4	0	0	4	11	14	5	24	28.57%	2	137	9.80	0	0	0	1	3	1	14	0	1	20.00%	10	0	0.88	1	2	0	0	1	1
13	Derek Forbort	Senators	D	15	2	4	6	8	14	0	34	8	11	2	5	18.18%	21	250	16.72	0	0	0	0	0	0	60	0	0	0.00%	0	0	0.48	0	0	0	0	0	0
14	Dmitry Kulikov	Senators	D	15	0	6	6	4	22	0	39	10	26	5	11	0.00%	12	286	19.12	0	2	2	15	61	0	23	0	0	0.00%	0	0	0.42	0	0	0	0	0	2
15	Ian Cole	Senators	D	15	0	5	5	9	4	0	18	9	9	5	10	0.00%	23	273	18.22	0	0	0	0	1	1	61	0	0	0.00%	0	0	0.37	0	0	0	0	0	0
16	Niko Mikkola	Senators	D	15	0	5	5	3	23	5	60	6	5	3	4	0.00%	11	255	17.00	0	0	0	0	0	0	57	0	0	0.00%	0	0	0.39	0	0	1	0	0	0
17	Ryan Donato	Senators	LW	15	1	3	4	1	10	0	13	15	22	6	18	4.55%	1	135	9.05	0	0	0	0	1	1	7	0	0	60.00%	5	0	0.59	0	0	0	0	0	0
18	Ilya Solovyov	Senators (Ott)	D	6	2	1	3	1	2	0	4	1	4	1	1	50.00%	6	80	13.40	0	0	0	0	0	0	0	1	0	0.00%	0	0	0.75	0	0	0	0	1	0
19	Juuso Valimaki	Senators	D	15	0	2	2	-2	14	0	12	14	7	3	5	0.00%	16	272	18.20	0	0	0	0	1	0	20	0	0	0.00%	0	0	0.15	0	0	0	0	0	0
20	Matt Benning	Senators (Ott)	D	5	0	0	0	1	2	0	5	3	3	1	2	0.00%	4	60	12.11	0	0	0	0	1	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0
21	Paul Cotter	Senators (Ott)	RW	4	0	0	0	0	4	0	7	1	2	0	3	0.00%	0	33	8.28	0	0	0	0	0	0	0	0	0	100.00%	1	0	0.00	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				281	69	119	188	50	155	5	374	336	616	193	408	11.20%	137	4637	16.50	20	38	58	181	637	19	550	11	3	54.87%	1549	4	0.81	1	4	1	12	11	8

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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	PS %	PSA	ST	BG	S1	S2	S3
1	Pyotr Kochetkov	Senators	9	8	1	0	0.917	2.18	551	4	1	20	242	1.000	6	8	7	0	0	1
2	Joel Hofer	Senators	10	4	4	2	0.895	3.54	577	0	0	34	325	0.750	4	10	5	1	2	0
Statistiques d’équipe totales ou en moyenne			19	12	5	2	0.905	2.87	1129	4	1	54	567	0.900	10	18	12	1	2	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	Type	2038	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2039	2040	2041	2042	2043	2044	Link
Alexander Nylander	Senators	LW	26	1998-03-02	No	192 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	2,221,600$	2,221,600$	1,794,852$	No	RFA						Lien / Lien NHL
Alexandre Texier	Senators	RW	25	1999-09-13	No	201 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	2,800,000$	2,800,000$	2,262,147$	No	2,800,000$	2,800,000$	UFA				Lien / Lien NHL
Anders Lee	Senators	LW	34	1990-07-03	No	227 Lbs	6 ft3	Yes	No	Yes	2	Pro & Farm	3,200,000$	3,200,000$	2,585,311$	No	3,200,000$	UFA					Lien / Lien NHL
Andrei Svechnikov	Senators	RW	24	2000-03-26	No	195 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	6,059,322$	No	7,500,000$	RFA					Lien / Lien NHL
Derek Forbort	Senators	D	32	1992-03-04	No	216 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,423,729$	No	UFA						Lien / Lien NHL
Dillon Dube	Senators	C	26	1998-07-20	No	185 Lbs	5 ft11	Yes	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,423,729$	No	RFA						Lien / Lien NHL
Dmitry Kulikov	Senators	D	34	1990-10-29	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,615,819$	No	2,000,000$	UFA					Lien / Lien NHL
Dominik Kubalik	Senators	LW	29	1995-08-21	No	192 Lbs	6 ft2	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	4,039,548$	No	UFA						Lien / Lien NHL
Ian Cole	Senators	D	35	1989-02-21	No	225 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,423,729$	No	UFA						Lien / Lien NHL
Joel Hofer	Senators	G	24	2000-07-30	No	160 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	2,300,000$	2,300,000$	1,858,192$	No	2,300,000$	2,300,000$	RFA				Lien / Lien NHL
Josh Norris	Senators	C	25	1999-05-05	No	195 Lbs	6 ft2	No	No	Yes	6	Pro Only	7,000,000$	7,000,000$	5,655,367$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Lien / Lien NHL
Juuso Valimaki	Senators	D	26	1998-10-06	No	205 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,125,000$	3,125,000$	2,524,718$	No	RFA						Lien / Lien NHL
Logan O'Connor	Senators	RW	28	1996-08-14	No	175 Lbs	6 ft0	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	2,423,729$	No	3,000,000$	3,000,000$	UFA				Lien / Lien NHL
Mike Amadio	Senators	C	28	1996-05-13	No	200 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	2,100,000$	2,100,000$	1,696,610$	No	2,100,000$	2,100,000$	UFA				Lien / Lien NHL
Morgan Geekie	Senators	LW	26	1998-07-20	No	202 Lbs	6 ft3	No	No	Yes	4	Pro & Farm	2,500,000$	2,500,000$	2,019,774$	No	2,500,000$	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Niko Mikkola	Senators	D	28	1996-04-27	No	206 Lbs	6 ft5	No	No	No	1	Pro & Farm	850,000$	850,000$	686,723$	No	UFA						Lien / Lien NHL
Pyotr Kochetkov	Senators	G	25	1999-06-25	No	176 Lbs	6 ft0	No	No	Yes	3	Pro & Farm	3,400,000$	3,400,000$	2,746,893$	No	3,400,000$	3,400,000$	UFA				Lien / Lien NHL
Quinn Hughes	Senators	D	25	1999-10-14	No	180 Lbs	5 ft10	Yes	No	Yes	4	Pro Only	1$	1$	1$	No	10,000,000$	10,000,000$	10,000,000$	UFA			Lien / Lien NHL
Ryan Donato	Senators	LW	28	1996-04-09	No	190 Lbs	6 ft0	Yes	No	Yes	2	Pro & Farm	2,300,000$	2,300,000$	1,858,192$	No	2,300,000$	UFA					Lien / Lien NHL
Sean Couturier	Senators	C	32	1992-12-07	No	210 Lbs	6 ft4	No	No	Yes	3	Pro Only	7,278,000$	7,278,000$	5,879,966$	No	7,278,000$	7,278,000$	UFA				Lien / Lien NHL
Sean Monahan	Senators	C	30	1994-10-12	No	202 Lbs	6 ft2	No	No	Yes	2	Pro Only	9,000,000$	9,000,000$	7,271,186$	No	9,000,000$	UFA					Lien / Lien NHL
William Karlsson	Senators	C	31	1993-01-08	No	190 Lbs	6 ft0	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	4,847,458$	No	6,000,000$	UFA					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.23	197 Lbs	6 ft2	2.32	3,662,482$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
80,574,601$	70,378,000$	40,378,000$	19,500,000$	7,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Lee	William Karlsson	Andrei Svechnikov	30	1	0	4
2	Josh Norris	Sean Monahan	Sean Couturier	25	1	0	4
3	Alexander Nylander	Logan O'Connor	Morgan Geekie	25	1	1	3
4	Ryan Donato	Mike Amadio	Alexandre Texier	20	1	1	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Niko Mikkola	30	1	1	3
2	Juuso Valimaki	Dmitry Kulikov	30	1	1	3
3	Derek Forbort	Ian Cole	25	1	2	2
4	Quinn Hughes	Juuso Valimaki	15	1	3	1

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Lee	Sean Monahan	Josh Norris	50	0	0	5
2	Alexander Nylander	William Karlsson	Andrei Svechnikov	50	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dmitry Kulikov	Morgan Geekie	50	1	0	4
2	Quinn Hughes	Sean Couturier	50	1	0	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sean Monahan	Logan O'Connor	50	1	3	1
2	Sean Couturier	Sean Monahan	50	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	1	4	0
2	Derek Forbort	Niko Mikkola	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	William Karlsson	50	1	4	0	Quinn Hughes	Niko Mikkola	50	1	4	0
2	Sean Couturier	50	1	4	0	Derek Forbort	Ian Cole	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sean Monahan	Andrei Svechnikov	50	1	1	3
2	William Karlsson	Josh Norris	50	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dmitry Kulikov	Quinn Hughes	50	1	1	3
2	Niko Mikkola	Juuso Valimaki	50	1	1	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Morgan Geekie	William Karlsson	Andrei Svechnikov	Quinn Hughes	Niko Mikkola

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Sean Monahan	Sean Couturier	Logan O'Connor	Quinn Hughes	Ian Cole

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Morgan Geekie, Sean Couturier, Anders Lee	Josh Norris, Sean Couturier	Mike Amadio

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ian Cole, Juuso Valimaki, Dmitry Kulikov	Juuso Valimaki	Ian Cole, Juuso Valimaki

Tirs de pénalité
Alexandre Texier, Josh Norris, Andrei Svechnikov, Ryan Donato, Sean Monahan

Gardien
#1 : Pyotr Kochetkov, #2 : Joel Hofer, #3 : 0

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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	Avalanche	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	1	1	2	0	37	10	15	12	0	31	9	12	21	3	0	0.00%	6	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	25	17	22	7	12	6
2	Blackhawks	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	1	2	0	42	12	12	18	0	33	9	18	27	7	4	57.14%	9	2	77.78%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	25	16	21	7	13	6
3	Bruins	2	0	1	0	1	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	5	-4	1	0	0	0	1	0	0	0	3	2	1	2	0.500	4	8	12	0	0	1	1	1	1	60	26	12	21	1	51	18	22	51	8	1	12.50%	9	1	88.89%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	43	29	56	15	24	11
4	Canadiens	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	0	2	1	50	17	14	12	7	32	5	8	25	5	1	20.00%	4	1	75.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	26	19	25	7	12	6
5	Coyotes	1	0	0	0	0	0	1	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	6	5	1	2	1.000	6	9	15	0	0	2	2	1	1	42	10	13	13	9	37	17	8	21	5	2	40.00%	4	2	50.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	27	19	23	8	13	7
6	Devils	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	1	0	0	1	37	10	8	13	6	25	11	15	17	5	1	20.00%	3	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	27	19	23	7	13	6
7	Flyers	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	2	3	1	0	44	18	16	10	0	26	4	6	30	9	4	44.44%	3	1	66.67%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	24	17	21	7	13	7
8	GoldenKnights	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	7	12	0	0	2	3	0	0	34	13	12	9	0	33	3	8	23	3	1	33.33%	4	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	22	14	24	7	13	7
9	Kings	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	0	2	3	0	44	16	8	20	0	39	9	10	18	5	0	0.00%	4	1	75.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	23	15	23	7	12	6
10	Lightning	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	9	0	9	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	17	26	0	1	2	5	2	0	43	11	21	11	0	19	5	8	22	6	1	16.67%	4	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	29	20	17	7	12	7
11	MapleLeafs	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	0	2	0	1	39	10	13	13	3	21	8	8	28	5	0	0.00%	4	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	27	18	21	7	12	6
12	Sabres	2	1	0	0	0	0	1	0	10	5	5	1	0	0	0	0	0	1	0	5	4	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	17	27	0	0	2	3	4	1	82	22	29	30	3	61	15	26	42	14	3	21.43%	12	0	100.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	50	36	51	14	22	11
13	Stars	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	0	2	1	40	8	17	11	4	38	11	8	11	4	1	25.00%	4	1	75.00%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	27	19	21	7	12	6
	Total	15	7	1	0	5	0	2	0	67	43	24	9	4	1	0	3	0	1	0	41	27	14	6	3	0	0	2	0	1	0	26	16	10	28	0.933	67	119	186	0	1	17	23	20	7	594	183	190	193	33	446	124	157	336	79	19	24.05%	70	9	87.14%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	381	264	354	112	190	98
	_Since Last GM Reset	15	7	1	0	5	0	2	0	67	43	24	9	4	1	0	3	0	1	0	41	27	14	6	3	0	0	2	0	1	0	26	16	10	28	0.933	67	119	186	0	1	17	23	20	7	594	183	190	193	33	446	124	157	336	79	19	24.05%	70	9	87.14%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	381	264	354	112	190	98
	_Vs Conference	9	3	1	0	4	0	1	0	38	21	17	6	2	1	0	2	0	1	0	27	16	11	3	1	0	0	2	0	0	0	11	5	6	16	0.889	38	71	109	0	1	9	14	10	5	355	114	113	110	20	235	66	93	215	52	11	21.15%	39	3	92.31%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	230	160	217	66	112	56
	_Vs Division	7	2	1	0	3	0	1	0	30	17	13	4	1	1	0	1	0	1	0	19	12	7	3	1	0	0	2	0	0	0	11	5	6	12	0.857	30	56	86	0	1	6	11	9	4	274	86	89	87	14	184	51	72	168	38	6	15.79%	33	2	93.94%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	178	124	171	51	85	43

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
15	28	OTW1	67	119	186	594	446	124	157	336	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	7	1	5	0	2	0	67	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	1	3	0	1	0	41	27

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	0	2	0	1	0	26	16

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	1	3	0	2	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
79	19	24.05%	70	9	87.14%	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
183	190	193	33	17	23	20	7

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
333	616	54.06%	309	520	59.42%	134	243	55.14%

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
381	264	354	112	190	98

Derniers matchs 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
2	11	Blackhawks	4	Senators	5	BW			Sommaire du match
4	28	Senators	3	MapleLeafs	2	AW	X		Sommaire du match
6	33	Senators	3	Bruins	2	AW	X		Sommaire du match
8	43	Flyers	3	Senators	6	BW			Sommaire du match
10	67	Kings	4	Senators	5	BW			Sommaire du match
12	76	Stars	3	Senators	4	BW	X		Sommaire du match
17	108	Canadiens	3	Senators	4	BW	X		Sommaire du match
20	129	Bruins	5	Senators	1	BL			Sommaire du match
23	145	Senators	4	Avalanche	2	AW			Sommaire du match
25	164	Senators	5	GoldenKnights	4	AW			Sommaire du match
27	168	Senators	6	Coyotes	5	AW	X	X	Sommaire du match
29	187	Sabres	4	Senators	5	BW	X	X	Sommaire du match
31	195	Senators	5	Sabres	1	AW			Sommaire du match
32	209	Lightning	0	Senators	9	BW			Sommaire du match
34	219	Devils	1	Senators	2	BW	X		Sommaire du match
36	233	GoldenKnights	-	Senators	-
38	252	Senators	-	Lightning	-
39	255	Senators	-	Panthers	-
43	282	RedWings	-	Senators	-
45	299	Penguins	-	Senators	-
47	312	Panthers	-	Senators	-
49	325	Senators	-	Wild	-
50	338	Senators	-	Stars	-
53	365	Senators	-	Rangers	-
54	373	Senators	-	Flyers	-
56	386	Rangers	-	Senators	-
58	404	Sharks	-	Senators	-
61	421	Senators	-	Canadiens	-
63	433	Canadiens	-	Senators	-
65	452	Penguins	-	Senators	-
66	457	Bruins	-	Senators	-
68	471	Senators	-	Predators	-
71	489	Senators	-	RedWings	-
72	499	Senators	-	Canadiens	-
74	515	Predators	-	Senators	-
78	543	Senators	-	Devils	-
79	553	Capitals	-	Senators	-
82	582	Senators	-	Islanders	-
83	593	Capitals	-	Senators	-
85	602	Senators	-	BlueJacket	-
87	620	Canucks	-	Senators	-
90	640	Wild	-	Senators	-
91	648	Hurricanes	-	Senators	-
94	668	Senators	-	Ducks	-
95	674	Senators	-	Kings	-
97	696	Senators	-	Sharks	-
101	723	Avalanche	-	Senators	-
103	734	Senators	-	Hurricanes	-
104	748	Senators	-	Blues	-
107	763	Coyotes	-	Senators	-
113	787	Senators	-	Penguins	-
114	797	RedWings	-	Senators	-
118	822	Senators	-	MapleLeafs	-
119	833	Ducks	-	Senators	-
121	845	Jets	-	Senators	-
124	870	Hurricanes	-	Senators	-
126	880	Senators	-	RedWings	-
128	903	Senators	-	Jets	-
130	912	Senators	-	Blackhawks	-
133	933	Senators	-	Devils	-
134	943	BlueJacket	-	Senators	-
136	960	Flames	-	Senators	-
138	978	Senators	-	Capitals	-
140	989	Oilers	-	Senators	-
142	1007	Senators	-	Lightning	-
143	1011	Senators	-	Panthers	-
145	1026	Senators	-	Islanders	-
147	1040	Islanders	-	Senators	-
149	1049	Senators	-	Bruins	-
151	1070	Senators	-	Flyers	-
154	1089	Blues	-	Senators	-
156	1106	MapleLeafs	-	Senators	-
160	1134	Senators	-	Canucks	-
161	1137	Senators	-	Flames	-
163	1153	Senators	-	Oilers	-
166	1182	Sabres	-	Senators	-
168	1193	Panthers	-	Senators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
170	1210	MapleLeafs	-	Senators	-
172	1226	Lightning	-	Senators	-
174	1241	Senators	-	Rangers	-
175	1242	Senators	-	Sabres	-
177	1266	BlueJacket	-	Senators	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Anders Lee

AGE:34
SK:		79
EN:		81
DU:		98
PH:		64
PA:		57
SC:		70
DF:		74
Morgan Geekie

AGE:26
SK:		81
EN:		80
DU:		95
PH:		66
PA:		64
SC:		68
DF:		70
Ryan Donato

AGE:28
SK:		82
EN:		78
DU:		96
PH:		61
PA:		59
SC:		63
DF:		72
Alexander Nylander

AGE:26
SK:		84
EN:		82
DU:		62
PH:		67
PA:		52
SC:		82
DF:		68
Tanner Laczynski

AGE:27
SK:		82
EN:		60
DU:		50
PH:		62
PA:		65
SC:		58
DF:		70
Joe Snively

AGE:28
SK:		83
EN:		78
DU:		68
PH:		60
PA:		70
SC:		47
DF:		68
Tomas Nosek

AGE:32
SK:		75
EN:		74
DU:		68
PH:		52
PA:		49
SC:		55
DF:		71
Brian Halonen (R)

AGE:25
SK:		87
EN:		60
DU:		50
PH:		59
PA:		41
SC:		70
DF:		65
Dominik Kubalik

AGE:29
SK:		76
EN:		75
DU:		94
PH:		53
PA:		44
SC:		62
DF:		55
Cole Reinhardt

AGE:24
SK:		75
EN:		65
DU:		55
PH:		42
PA:		42
SC:		42
DF:		62
Francesco Pinelli (R)

AGE:21
SK:		86
EN:		76
DU:		66
PH:		37
PA:		29
SC:		46
DF:		51

William Karlsson

AGE:31
SK:		91
EN:		84
DU:		91
PH:		80
PA:		75
SC:		85
DF:		88
Sean Monahan

AGE:30
SK:		86
EN:		85
DU:		99
PH:		74
PA:		73
SC:		76
DF:		79
Sean Couturier

AGE:32
SK:		80
EN:		84
DU:		94
PH:		66
PA:		70
SC:		62
DF:		82
Josh Norris

AGE:25
SK:		84
EN:		84
DU:		77
PH:		70
PA:		63
SC:		76
DF:		73
Mike Amadio

AGE:28
SK:		80
EN:		77
DU:		93
PH:		60
PA:		55
SC:		66
DF:		70
Oskar Sundqvist

AGE:30
SK:		76
EN:		77
DU:		92
PH:		57
PA:		57
SC:		57
DF:		78
Jujhar Khaira

AGE:30
SK:		76
EN:		60
DU:		50
PH:		59
PA:		68
SC:		49
DF:		70
Cole Guttman

AGE:25
SK:		83
EN:		76
DU:		62
PH:		57
PA:		52
SC:		62
DF:		65
Fredrik Karlstrom

AGE:26
SK:		75
EN:		81
DU:		71
PH:		50
PA:		46
SC:		54
DF:		70
Fedor Svechkov (R)

AGE:21
SK:		85
EN:		66
DU:		56
PH:		53
PA:		53
SC:		53
DF:		70
Dillon Dube

AGE:26
SK:		78
EN:		74
DU:		72
PH:		52
PA:		48
SC:		56
DF:		63
Nikita Nesterenko (R)

AGE:23
SK:		85
EN:		79
DU:		69
PH:		47
PA:		45
SC:		49
DF:		66

Andrei Svechnikov

AGE:24
SK:		90
EN:		83
DU:		83
PH:		81
PA:		86
SC:		76
DF:		67
Logan O'Connor

AGE:28
SK:		84
EN:		79
DU:		82
PH:		63
PA:		57
SC:		69
DF:		95
Alexandre Texier

AGE:25
SK:		80
EN:		80
DU:		96
PH:		61
PA:		59
SC:		63
DF:		79
Paul Cotter

AGE:25
SK:		77
EN:		76
DU:		95
PH:		58
PA:		59
SC:		58
DF:		65
Carl Grundstrom

AGE:27
SK:		78
EN:		73
DU:		77
PH:		55
PA:		47
SC:		63
DF:		67
Nathan Bastian

AGE:27
SK:		75
EN:		72
DU:		80
PH:		54
PA:		51
SC:		58
DF:		68
Seth Griffith

AGE:31
SK:		84
EN:		77
DU:		67
PH:		63
PA:		70
SC:		48
DF:		64
Grigori Denisenko

AGE:24
SK:		82
EN:		74
DU:		64
PH:		60
PA:		65
SC:		55
DF:		50
Zack Ostapchuk (R)

AGE:21
SK:		80
EN:		78
DU:		68
PH:		42
PA:		33
SC:		50
DF:		69

Défense #1

Défense #2

Gardien

Quinn Hughes

AGE:25
SK:		99
EN:		91
DU:		99
PH:		95
PA:		99
SC:		76
DF:		80
Niko Mikkola

AGE:28
SK:		75
EN:		83
DU:		99
PH:		54
PA:		54
SC:		55
DF:		76
Dmitry Kulikov

AGE:34
SK:		78
EN:		77
DU:		95
PH:		56
PA:		61
SC:		52
DF:		76
Ian Cole

AGE:35
SK:		75
EN:		81
DU:		96
PH:		51
PA:		49
SC:		53
DF:		80
Derek Forbort

AGE:32
SK:		75
EN:		79
DU:		67
PH:		50
PA:		49
SC:		50
DF:		83
Juuso Valimaki

AGE:26
SK:		77
EN:		82
DU:		89
PH:		56
PA:		58
SC:		54
DF:		75
Matt Benning

AGE:30
SK:		75
EN:		80
DU:		53
PH:		51
PA:		52
SC:		50
DF:		83

Ilya Solovyov

AGE:24
SK:		76
EN:		76
DU:		50
PH:		57
PA:		65
SC:		50
DF:		71
Cale Fleury

AGE:26
SK:		75
EN:		69
DU:		64
PH:		50
PA:		57
SC:		43
DF:		70
Nikita Novikov (R)

AGE:21
SK:		80
EN:		69
DU:		64
PH:		40
PA:		45
SC:		36
DF:		70
Joe Hicketts

AGE:28
SK:		80
EN:		55
DU:		50
PH:		53
PA:		70
SC:		34
DF:		70
Declan Carlile (R)

AGE:24
SK:		87
EN:		65
DU:		60
PH:		46
PA:		47
SC:		44
DF:		70
David Spacek (R)

AGE:21
SK:		87
EN:		65
DU:		60
PH:		34
PA:		32
SC:		36
DF:		50

Pyotr Kochetkov

AGE:25
SK:		94
AG:		84
RB:		83
SC:		83
HS:		84
RT:		82
DF:		82
Joel Hofer

AGE:24
SK:		94
AG:		80
RB:		87
SC:		81
HS:		85
RT:		79
DF:		80
Jet Greaves

AGE:23
SK:		81
AG:		60
RB:		61
SC:		54
HS:		57
RT:		60
DF:		50
Colten Ellis (R)

AGE:24
SK:		89
AG:		62
RB:		56
SC:		58
HS:		60
RT:		58
DF:		60
Magnus Chrona (R)

AGE:24
SK:		82
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Aiden Fink	Senators	2037	162
Alexis Gravel	Senators	2032	104
Angus Macdonell	Senators	2038	146
Austin Burnevik	Senators	2038	195
Ben Boyd	Senators	2035	198
Casper Nassen	Senators	2038	177
Cole Beaudoin	Senators	2038	25
Filip Westerlund	Senators	2031	75
Garin Bjorklund	Senators	2034	201
Jack Adams	Senators	2031	122
Jacob Battaglia	Senators	2038	53
Jaden Lipinski	Senators	2037	144
Jakub Milota	Senators	2038	109
James Clark	Senators	2037	175
Jeremy Hanzel	Senators	2037	149
Kamil Bednarik	Senators	2038	42
Kasper Halttunen	Senators	2037	34
Lucas Ellinas	Senators	2038	115
Niilopekka Muhonen	Senators	2038	173
Oscar Plandowski	Senators	2035	184
Rico Gredig	Senators	2038	208
Theo Jacobsson	Senators	2035	216
Veeti Vaisanen	Senators	2038	102
Vojtech Port	Senators	2037	206
Warren Clark	Senators	2037	146
Xavier Veilleux	Senators	2038	189
Zach Gallant	Senators	2031	62

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041

Senators Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Ales Kotalik	1472	217	330	547	-159	1060	1890	1769	2298	9.44%	878	23426	15.91	48	79	127	222	5	6	11	52	29	11	47.12%	1	0.47	6	13
2	Kris Versteeg	821	225	308	533	-72	277	647	1630	2038	11.04%	196	14368	17.50	62	112	174	430	5	3	8	34	28	20	41.53%	1	0.74	11	42
3	Mikko Rantanen	519	235	296	531	0	224	470	1041	1962	11.98%	111	11036	21.26	62	106	168	491	1	8	9	35	31	15	39.62%	11	0.96	11	37
4	Elias Lindholm	542	200	316	516	15	203	486	1548	1849	10.82%	149	11625	21.45	66	125	191	477	6	4	10	45	24	11	52.91%	2	0.89	12	36
5	Alexander Semin	536	218	295	513	-12	456	725	1145	1938	11.25%	225	13068	24.38	51	97	148	302	5	8	13	49	30	12	33.21%	7	0.79	10	57

Senators Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Mike Smith	399	175	179	35	0.905	3.11	23511	39	19	1218	12854	0	23	10	0.746	185
2	Jaroslav Halak	228	115	87	20	0.914	2.56	13382	44	11	571	6635	2668	11	5	0.761	113
3	Petr Mrazek	193	100	76	11	0.903	3.02	11255	14	9	567	5841	0	8	2	0.810	63
4	Peter Budaj	80	44	29	7	0.896	2.93	4797	0	4	234	2247	0	4	1	0.722	36
5	Nikolai Khabibulin	100	42	45	5	0.901	3.24	5572	6	0	301	3028	1189	6	1	0.870	23

Senators Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											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
Saison régulière
2017	82	30	40	0	3	3	5	1	240	264	-24	41	15	19	0	2	2	3	0	129	131	-2	41	15	21	0	1	1	2	1	111	133	-22	69	240	392	632	1	1	0	64	83	85	2472	0	744	898	821	2707	884	1068	1872	266	58	21.80%	258	50	80.62%	5	975	1932	50.47%	1017	2119	47.99%	658	1362	48.31%	1692	936	1936	837	1503	747
2018	82	27	40	0	6	2	3	4	236	248	-12	41	14	21	0	1	1	2	2	114	119	-5	41	13	19	0	5	1	1	2	122	129	-7	68	236	381	617	0	1	0	50	92	85	2376	0	659	894	801	2689	816	1085	1840	195	34	17.44%	240	40	83.33%	9	855	1865	45.84%	1001	2127	47.06%	679	1350	50.30%	1641	894	1809	765	1522	755
2019	82	32	35	0	4	2	5	4	229	222	7	41	14	17	0	3	0	3	4	113	111	2	41	18	18	0	1	2	2	0	116	111	5	74	229	357	586	1	6	0	68	81	71	2410	0	736	840	810	2471	801	1230	1745	210	45	21.43%	237	47	80.17%	8	978	2025	48.30%	1010	2027	49.83%	569	1107	51.40%	1661	891	1736	775	1573	786
2020	82	33	34	0	2	1	6	6	230	240	-10	41	18	15	0	1	0	4	3	113	104	9	41	15	19	0	1	1	2	3	117	136	-19	71	230	364	594	5	3	0	60	68	94	2338	0	644	812	854	2438	812	1119	1794	214	51	23.83%	255	49	80.78%	5	966	1918	50.36%	957	1996	47.95%	586	1161	50.47%	1638	845	1713	791	1632	816
2021	82	21	52	0	1	2	4	2	204	281	-77	41	14	23	0	1	1	1	1	110	132	-22	41	7	29	0	0	1	3	1	94	149	-55	46	204	366	570	3	2	0	75	63	61	2249	0	728	727	783	2725	762	1087	2086	367	60	16.35%	428	84	80.37%	1	1069	2803	38.14%	1178	3227	36.50%	470	1286	36.55%	1844	1242	2076	621	1038	505
2022	82	36	31	0	3	1	4	7	241	227	14	41	22	12	0	3	1	0	3	137	113	24	41	14	19	0	0	0	4	4	104	114	-10	79	241	417	658	1	4	0	88	64	82	2315	0	722	767	792	2528	745	1054	1922	435	88	20.23%	410	63	84.63%	3	1023	2857	35.81%	1119	3133	35.72%	427	1245	34.30%	1908	1282	2036	639	1037	510
2023	82	33	34	0	4	2	6	3	264	253	11	41	18	17	0	1	1	3	1	133	125	8	41	15	17	0	3	1	3	2	131	128	3	76	264	460	724	1	5	0	95	92	67	2562	0	812	836	890	2655	818	1078	1933	438	107	24.43%	447	85	80.98%	6	1316	3050	43.15%	1261	3106	40.60%	534	1313	40.67%	1899	1280	2033	627	1042	514
2024	82	22	43	0	0	4	6	7	251	322	-71	41	13	21	0	0	3	2	2	127	160	-33	41	9	22	0	0	1	4	5	124	162	-38	67	251	445	696	5	1	0	85	88	72	2492	0	847	790	825	2912	874	1225	2109	374	82	21.93%	520	140	73.08%	7	1237	2926	42.28%	1197	3323	36.02%	523	1336	39.15%	1854	1234	2098	628	1037	507
2025	82	20	51	0	4	3	2	2	240	334	-94	41	12	23	0	2	2	1	1	127	167	-40	41	8	28	0	2	1	1	1	113	167	-54	57	240	430	670	3	0	0	85	73	76	2302	0	720	762	801	3051	841	1163	2163	386	69	17.88%	478	138	71.13%	3	1220	2773	44.00%	1351	3416	39.55%	535	1339	39.96%	1763	1160	2141	644	1051	502
2026	82	19	45	0	2	6	7	3	258	340	-82	41	11	25	0	0	2	2	1	137	178	-41	41	8	20	0	2	4	5	2	121	162	-41	65	258	435	693	0	0	0	86	86	77	2603	0	838	866	871	3009	889	1310	2049	419	84	20.05%	553	148	73.24%	6	1453	2970	48.92%	1496	3345	44.72%	671	1388	48.34%	1778	1169	2167	649	1043	495
2027	82	21	52	0	1	1	3	4	207	321	-114	41	13	22	0	1	1	2	2	111	145	-34	41	8	30	0	0	0	1	2	96	176	-80	55	207	360	567	0	2	0	78	65	60	2176	0	721	734	705	2852	871	1102	1928	396	58	14.65%	487	121	75.15%	4	1209	2708	44.65%	1312	3317	39.55%	550	1294	42.50%	1793	1193	2137	638	1028	487
2030	82	12	58	0	1	2	4	5	175	290	-115	41	7	29	0	0	1	1	3	86	142	-56	41	5	29	0	1	1	3	2	89	148	-59	41	175	301	476	0	3	0	67	56	47	2189	0	727	710	734	3079	933	1150	2035	380	51	13.42%	528	115	78.22%	5	1217	2736	44.48%	1426	3512	40.60%	564	1265	44.58%	1756	1155	2180	647	1034	489
2031	82	37	31	0	1	1	6	6	292	253	39	41	18	14	0	1	1	2	5	143	129	14	41	19	17	0	0	0	4	1	149	124	25	95	292	521	813	1	4	0	106	105	74	2695	0	887	877	916	2356	708	1001	1788	437	94	21.51%	426	93	78.17%	6	1683	3110	54.12%	1496	2884	51.87%	695	1304	53.30%	2070	1439	1877	609	1036	526
2032	82	35	35	0	1	4	1	6	268	267	1	41	16	16	0	1	4	0	4	125	129	-4	41	19	19	0	0	0	1	2	143	138	5	84	268	466	734	0	1	0	85	92	89	2750	0	886	887	956	2445	759	918	1808	417	80	19.18%	406	77	81.03%	3	1676	3186	52.61%	1494	2853	52.37%	704	1292	54.49%	2001	1381	1934	612	1030	516
2033	82	31	36	0	2	2	5	6	250	280	-30	41	15	18	0	1	0	4	3	121	126	-5	41	16	18	0	1	2	1	3	129	154	-25	84	250	422	672	0	3	0	91	87	65	2531	0	844	855	808	2655	765	1077	1826	429	70	16.32%	480	90	81.25%	5	1553	2998	51.80%	1440	3097	46.50%	667	1293	51.59%	1965	1342	2003	623	1014	507
2034	82	34	38	0	2	2	5	1	269	279	-10	41	19	15	0	1	2	4	0	149	134	15	41	15	23	0	1	0	1	1	120	145	-25	85	269	472	741	1	1	0	100	79	83	2622	0	834	838	935	2568	798	949	1948	409	77	18.83%	403	88	78.16%	0	1384	3024	45.77%	1235	2998	41.19%	606	1319	45.94%	1947	1330	1971	609	1035	518
2035	82	43	33	0	0	2	2	2	270	241	29	41	20	15	0	0	2	2	2	142	123	19	41	23	18	0	0	0	0	0	128	118	10	94	270	486	756	1	5	0	87	94	87	2620	0	884	854	870	2592	745	1027	1968	439	84	19.13%	437	72	83.52%	5	1470	3024	48.61%	1322	3069	43.08%	610	1289	47.32%	1987	1370	1938	607	1019	508
2036	82	40	29	0	2	3	4	4	295	261	34	41	21	14	0	1	1	2	2	155	127	28	41	19	15	0	1	2	2	2	140	134	6	99	295	528	823	2	4	0	112	91	86	2698	0	876	881	896	2231	699	855	1745	433	82	18.94%	379	78	79.42%	4	1561	3061	51.00%	1361	2671	50.95%	657	1346	48.81%	2127	1503	1819	586	1028	529
2037	82	28	41	0	4	3	3	3	280	314	-34	41	14	20	0	2	1	2	2	135	155	-20	41	14	21	0	2	2	1	1	145	159	-14	76	280	480	760	3	1	114	83	76	7	2616	835	854	898	44	2612	738	923	1689	395	86	21.77%	397	90	77.33%	9	1492	2876	51.88%	1479	2895	51.09%	708	1382	51.23%	1952	1353	1992	604	1026	511
2038	15	7	1	0	5	0	2	0	67	43	24	9	4	1	0	3	0	1	0	41	27	14	6	3	0	0	2	0	1	0	26	16	10	28	67	119	186	0	1	17	23	20	7	594	183	190	193	33	446	124	157	336	79	19	24.05%	70	9	87.14%	0	333	616	54.06%	309	520	59.42%	134	243	55.14%	381	264	354	112	190	98
Total Saison régulière	1573	561	759	0	48	46	83	76	4766	5280	-514	788	298	357	0	25	26	41	41	2448	2577	-129	785	263	402	0	23	20	42	35	2318	2703	-385	1413	4766	8202	12968	28	48	131	1588	1555	1375	47610	1018	15153	15919	15145	51021	15382	20578	36584	7118	1379	19.37%	7839	1677	78.61%	94	24670	52458	47.03%	24461	55635	43.97%	11547	24914	46.35%	35667	23275	37960	12632	21925	10836
Séries éliminatoires
2019	17	10	7	0	0	0	0	0	35	36	-1	8	5	3	0	0	0	0	0	14	13	1	9	5	4	0	0	0	0	0	21	23	-2	20	35	56	91	1	2	0	8	14	10	417	0	104	153	148	456	147	153	396	43	7	16.28%	18	2	88.89%	0	172	360	47.78%	152	353	43.06%	100	219	45.66%	319	154	360	164	352	178
2022	7	3	4	0	0	0	0	0	20	24	-4	3	1	2	0	0	0	0	0	7	12	-5	4	2	2	0	0	0	0	0	13	12	1	6	20	37	57	0	0	0	3	12	5	212	0	56	92	64	267	90	86	164	34	8	23.53%	42	10	76.19%	1	98	251	39.04%	107	303	35.31%	43	105	40.95%	150	99	183	53	86	41
2031	5	1	4	0	0	0	0	0	14	20	-6	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	8	15	-7	2	14	26	40	0	0	0	6	2	6	143	0	55	43	42	142	43	70	108	29	6	20.69%	29	7	75.86%	0	92	182	50.55%	73	182	40.11%	39	85	45.88%	121	82	123	38	61	30
2035	18	10	8	0	0	0	0	0	55	55	0	9	6	3	0	0	0	0	0	26	20	6	9	4	5	0	0	0	0	0	29	35	-6	20	55	98	153	0	0	0	17	18	18	568	0	175	214	150	591	174	221	439	104	21	20.19%	94	22	76.60%	1	344	685	50.22%	291	733	39.70%	143	295	48.47%	432	301	464	137	223	111
2036	11	7	4	0	0	0	0	0	39	31	8	5	3	2	0	0	0	0	0	14	13	1	6	4	2	0	0	0	0	0	25	18	7	14	39	66	105	0	0	0	14	13	10	330	0	108	115	89	371	117	133	217	62	12	19.35%	60	11	81.67%	0	209	419	49.88%	210	447	46.98%	72	174	41.38%	269	184	279	84	139	69
Total Séries éliminatoires	58	31	27	0	0	0	0	0	163	166	-3	27	16	11	0	0	0	0	0	67	63	4	31	15	16	0	0	0	0	0	96	103	-7	62	163	283	446	1	2	0	48	59	49	1670	0	498	617	493	1827	571	663	1324	272	54	19.85%	243	52	78.60%	2	915	1897	48.23%	833	2018	41.28%	397	878	45.22%	1292	821	1412	478	863	430

Senators Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Mikko Rantanen	26	18	25	43	12	6	22	63	131	13.74%	6	685	26.35	8	8	16	31	1	0	1	8	3	2	35.06%	1	1.26
2	Elias Lindholm	32	15	27	42	14	8	24	101	123	12.20%	16	794	24.83	3	11	14	31	0	1	1	4	2	0	51.07%	0	1.06
3	Marcus Foligno	29	12	16	28	13	69	106	38	77	15.58%	8	541	18.68	5	5	10	14	0	0	0	1	3	2	40.85%	1	1.03
4	Teddy Blueger	29	6	16	22	2	17	22	81	67	8.96%	10	500	17.26	2	5	7	19	0	0	0	0	1	0	52.65%	0	0.88
5	Alexander Semin	24	5	15	20	1	37	26	48	56	8.93%	7	532	22.21	0	4	4	6	0	0	0	1	2	0	35.71%	0	0.75

Senators Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Jaroslav Halak	17	10	7	0	0.923	2.04	1031	0	2	35	455	181	1	1
2	Petr Mrazek	16	9	5	2	0.903	3.07	958	0	0	49	505	0	1	0
3	Ville Husso	11	7	3	1	0.916	2.70	688	0	0	31	371	0	1	0
4	Mike Smith	7	3	4	0	0.903	3.68	391	0	0	24	248	0	0	0
5	Peter Budaj	5	1	3	0	0.836	4.34	249	2	0	18	110	0	0	0