Belleville Senators
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure/Suspension

Centre de jeu
	Ottawa Senators 12-22-4, 28pts	2	FINAL	4	Toronto Maple Leafs 27-11-0, 54pts

Team Stats
L2	Séquence	W4
7-10-1	Fiche domicile	17-5-0
5-12-3	Fiche visiteur	10-6-0
4-5-1	Derniers 10 matchs	9-1-0
3.08	Buts par match	4.66
3.66	Buts contre par match	3.55
20.00%	Pourcentage en avantage numérique	25.19%
75.00%	Pourcentage en désavantage numérique	73.86%

Columbus Blue Jackets
20-15-3, 43pts

FINAL

Ottawa Senators
12-22-4, 28pts

Team Stats
W1	Séquence	L2
11-6-0	Fiche domicile	7-10-1
9-9-3	Fiche visiteur	5-12-3
4-5-1	Derniers 10 matchs	4-5-1
3.32	Buts par match	3.08
3.42	Buts contre par match	3.66
21.64%	Pourcentage en avantage numérique	20.00%
76.74%	Pourcentage en désavantage numérique	75.00%

Washington Capitals
17-20-2, 36pts

Jour 87

Ottawa Senators
12-22-4, 28pts

Statistiques d’équipe
L6	Séquence	L2
9-10-1	Fiche domicile	7-10-1
8-10-1	Fiche visiteur	5-12-3
2-7-1	10 derniers matchs	4-5-1
3.15	Buts par match	3.08
3.36	Buts contre par match	3.08
18.66%	Pourcentage en avantage numérique	20.00%
74.44%	Pourcentage en désavantage numérique	75.00%

Winnipeg Jets
15-16-6, 36pts

Jour 89

Ottawa Senators
12-22-4, 28pts

Statistiques d’équipe
W2	Séquence	L2
9-8-1	Fiche domicile	7-10-1
6-8-5	Fiche visiteur	5-12-3
5-3-2	10 derniers matchs	4-5-1
3.16	Buts par match	3.08
3.32	Buts contre par match	3.08
22.22%	Pourcentage en avantage numérique	20.00%
78.40%	Pourcentage en désavantage numérique	75.00%

Detroit Red Wings
22-17-1, 45pts

Jour 91

Ottawa Senators
12-22-4, 28pts

Statistiques d’équipe
L2	Séquence	L2
14-7-0	Fiche domicile	7-10-1
8-10-1	Fiche visiteur	5-12-3
7-3-0	10 derniers matchs	4-5-1
2.90	Buts par match	3.08
2.80	Buts contre par match	3.08
17.57%	Pourcentage en avantage numérique	20.00%
82.31%	Pourcentage en désavantage numérique	75.00%

Meneurs d'équipe
	Buts Kyle Palmieri 15	Passes Cam York 24

	Points Tim Stutzle 33	Plus/Moins J.J. Moser 13

	Victoires Anthony Stolarz 8	Pourcentage d’arrêts Anthony Stolarz 0.9

Statistiques d’équipe
Buts pour 117 3.08 GFG	Tirs pour 1061 27.92 Avg	Pourcentage en avantage numérique 20.0% 24 GF	Début de zone offensive 38.5%
Buts contre 139 3.66 GAA	Tirs contre 1204 31.68 Avg	Pourcentage en désavantage numérique 75.0%% 38 GA	Début de la zone défensive 42.0%

Informations de l'équipe
	Directeur général	Maxime Bérubé
	Entraîneur	Daniel Alfredsson
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine	Sean Couturier
	Assistant #1	Nick Foligno
	Assistant #2	Marcus Foligno
Informations de l’aréna
	Nom	Canadian Tire Centre
	Capacité	19,000
	Assistance	18,213
	Billets de saison	17,670
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	27
	Limite contact	49 / 60
	Espoirs	9
Plafond salarial
	Cap Salarial de la Saison estimé	83,150,000$
	Plafond salarial disponible	12,350,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	32,101,264$
	Dépenses annuelles à ce jour	36,359,758$
	Revenus de la saison estimés	41,018,282$
	Dépenses de la saison estimées	46,771,884$
	Compte bancaire actuel	22,732,752$
	Compte bancaire projeté	23,462,253$

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	TA	SP	Âge	Contrat	Salaire
1	Tim Stutzle	X	X	X		99.00	75	41	75	87	81	91	84	90	71	88	81	72	86	68	58	0	50	80		0	23	5	8,350,000$
2	Kyle Palmieri	X	X	X		100.00	70	41	87	80	76	88	94	86	50	78	82	71	83	90	80	0	50	79		0	34	2	4,750,000$
3	Jason Zucker		X	X		100.00	75	62	67	78	76	85	93	84	55	79	79	69	80	89	79	0	50	78	X	0	33	2	4,750,000$
4	Nick Foligno (A)	X	X			99.00	82	71	70	75	79	86	92	81	73	77	75	74	77	93	92	0	50	78		0	38	1	4,500,000$
5	Connor McMichael	X	X			99.00	68	49	73	87	74	84	82	84	66	77	79	73	84	67	58	0	50	77		0	24	1	2,100,000$
6	Marcus Foligno (A)		X	X		100.00	86	86	65	74	86	84	93	78	51	74	73	75	75	89	85	0	50	77		0	34	3	4,000,000$
7	Sean Couturier (C)	X				100.00	69	54	74	73	81	86	91	82	83	77	72	73	76	88	89	0	50	77		0	33	5	7,750,000$
8	Casey Mittelstadt	X				100.00	67	41	83	77	80	87	88	84	70	80	76	67	79	79	69	0	50	76		0	27	2	5,750,000$
9	Jonathan Drouin		X	X		99.00	65	41	86	76	78	87	87	79	54	79	73	69	76	85	75	0	50	75		0	30	2	2,000,000$
10	Nicolas Deslauriers		X			100.00	86	78	72	70	83	76	85	68	44	62	63	66	66	87	77	0	50	69		0	34	1	1,750,000$
11	Sam Colangelo		X	X		100.00	65	40	78	73	85	81	65	69	46	61	67	63	69	55	50	0	50	66		0	24	2	850,000$
12	Matt Rempe	X	X	X		100.00	77	70	58	64	88	71	68	65	47	59	60	63	63	55	50	0	50	64		0	23	2	975,000$
13	Brock Faber				X	98.00	65	43	85	88	84	92	77	83	40	76	75	83	82	59	50	0	50	78		0	23	5	8,500,000$
14	Cam York				X	98.00	68	41	78	85	79	92	82	78	40	75	70	83	77	68	58	0	50	77		0	24	5	5,150,000$
15	Samuel Girard				X	100.00	71	41	92	85	71	90	87	77	40	77	66	81	76	79	69	0	50	77		0	27	2	5,000,000$
16	Luke Schenn				X	100.00	85	74	71	72	84	85	93	73	40	67	63	79	69	92	82	0	50	76		0	36	1	2,750,000$
17	J.J. Moser				X	100.00	68	46	79	85	76	89	79	74	40	74	66	83	75	63	53	0	50	75		0	25	1	3,375,000$
18	Jamie Drysdale				X	100.00	62	40	85	81	78	88	79	74	40	70	69	72	75	68	58	0	50	73		0	23	1	2,300,000$
Rayé
1	Bokondji Imama		X			100.00	74	63	57	65	79	70	67	63	40	57	58	61	62	61	53	0	50	62		0	29	1	775,000$
Équipe Mineure
1	Carl Grundstrom			X		100.00	85	42	85	73	80	79	84	73	40	66	66	65	71	76	66	0	50	70		0	28	1	1,800,000$
2	Kurtis MacDermid		X			100.00	81	71	68	66	89	73	80	67	42	61	61	66	65	79	69	0	50	68		0	31	2	1,150,000$
3	Samuel Helenius	X				99.00	79	61	72	69	82	70	66	65	61	60	60	65	65	52	50	0	50	65		0	23	1	805,833$
4	Riley Tufte		X			100.00	68	51	60	63	73	68	67	65	44	62	61	66	63	55	50	0	50	63		0	27	1	775,000$
5	T.J. Tynan	X				99.00	53	48	61	71	52	72	71	64	47	67	54	65	63	68	62	0	50	63		0	33	1	775,000$
6	Adam Erne	X	X	X		100.00	68	42	75	63	73	71	70	60	41	56	55	58	59	80	61	0	50	62		0	30	1	775,000$
7	Sam Poulin			X		99.00	66	43	67	64	69	64	62	63	61	61	59	61	62	52	50	0	50	62		0	24	1	775,000$
8	Jani Nyman			X		100.00	64	42	65	62	67	58	57	62	42	59	62	59	62	50	50	0	50	60		0	21	2	891,667$
9	Matt Luff			X		100.00	58	43	68	61	66	68	66	64	43	61	59	54	61	57	50	0	50	60		0	28	1	775,000$
10	Francesco Pinelli	X				100.00	59	43	68	65	64	65	63	63	43	57	58	53	62	50	50	0	50	59		0	22	1	845,000$
11	Rutger McGroarty			X		100.00	60	42	64	61	63	61	60	62	42	61	57	55	60	50	50	0	50	59		0	21	2	950,000$
12	Calle Rosen				X	99.00	59	42	74	70	63	73	72	67	40	64	61	69	66	75	56	0	50	66		0	31	1	775,000$
13	Kale Clague				X	99.00	55	44	67	70	62	70	67	66	40	63	60	66	65	65	51	0	50	64		0	27	1	775,000$
14	Samuel Bolduc				X	100.00	58	40	76	64	78	71	65	67	40	64	61	59	64	57	50	0	50	64		0	25	1	775,000$
15	Connor Mackey				X	100.00	60	59	55	66	65	71	68	63	40	59	57	67	62	60	50	0	50	63		0	29	1	775,000$
16	Djibril Toure				X	100.00	63	44	60	62	67	60	58	57	40	54	55	63	58	50	50	0	50	60		0	22	1	805,000$
17	Calle Odelius				X	100.00	55	41	67	61	61	61	60	59	40	57	54	53	58	50	50	0	50	58		0	21	2	815,000$
18	Gabriel Fortier		X			100.00	59	41	72	66	61	66	64	61	59	56	56	58	61	53	50	0	50	60		0	25	0	0$
19	Grigori Denisenko		X			100.00	54	49	61	65	62	66	65	65	44	63	59	51	63	53	50	0	50	60		0	25	0	0$
20	Donavan Houle	X	X	X		100.00	58	44	61	61	62	64	62	60	42	58	56	55	58	52	50	0	50	58		0	26	0	0$
21	Alex Beaucage			X		100.00	62	41	71	65	65	62	59	56	40	52	51	58	57	51	50	0	50	57		0	24	0	0$
22	Zach Metsa				X	100.00	61	41	72	71	61	67	65	65	40	64	57	69	64	53	50	0	50	64		0	27	0	0$
23	Chad Nychuk				X	100.00	60	41	71	65	64	62	59	56	40	51	51	64	57	52	50	0	50	60		0	24	0	0$
24	Jeremie Bucheler				X	100.00	63	40	69	60	68	62	59	55	40	51	51	61	56	52	50	0	50	59		0	25	0	0$
25	Matt Anderson				X	100.00	59	40	62	62	61	61	59	54	40	54	53	61	56	52	50	0	50	58		0	26	0	0$

	MOYENNE D’ÉQUIPE					99.70	67	49	71	70	73	74	73	69	47	65	63	66	67	65	59	0	50	67

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	Spencer Knight	97.00	81	80	83	76	84	82	80	81	81	82	72	63	58	0	50	74	0	24	4	4,500,000$
2	Georgi Romanov	100.00	69	63	63	67	66	66	67	65	66	66	57	52	50	0	50	61	0	26	1	775,000$
Rayé
1	Anthony Stolarz	100.00	83	87	87	94	88	88	86	88	87	86	80	82	75	0	50	80	0	31	5	2,500,000$
Équipe Mineure
1	Jacob Fowler	98.00	63	57	57	65	62	62	62	60	62	60	54	50	50	0	50	57	0	21	3	923,333$
2	Tristan Lennox	100.00	59	57	57	64	59	57	56	54	58	59	54	50	50	0	50	54	0	23	1	867,500$

	MOYENNE D’ÉQUIPE	99.00	71	69	69	73	72	71	70	70	71	71	63	59	57	0	50	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Daniel Alfredsson	1	1	1	1	1	1	1	SWE	52	5	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	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	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Tim Stutzle	Ottawa Senators	C/LW/RW	38	14	19	33	-3	16	0	45	103	123	33	78	11.38%	9	777	20.45	5	7	12	22	102	1	0	1	4	121	2	0	51.74%	1094	0	0.85	0	1	0	0	2	2	1
2	Connor McMichael	Ottawa Senators	C/LW	38	9	21	30	-2	14	0	47	62	102	27	89	8.82%	9	731	19.25	1	6	7	20	95	0	1	1	0	83	0	0	43.83%	235	0	0.82	1	1	0	0	2	1	0
3	Brock Faber	Ottawa Senators	D	38	7	21	28	-9	22	0	53	61	73	32	52	9.59%	71	948	24.95	3	3	6	38	98	0	2	2	0	133	0	0	0%	0	0	0.59	0	0	0	0	0	2	1
4	Cam York	Ottawa Senators	D	38	4	24	28	-9	44	0	93	50	62	27	45	6.45%	65	921	24.26	3	8	11	34	98	0	2	2	1	109	0	0	0%	0	0	0.61	0	0	0	0	0	1	1
5	Kyle Palmieri	Ottawa Senators	C/LW/RW	38	15	13	28	-6	4	0	18	42	89	20	58	16.85%	2	643	16.93	3	7	10	19	103	0	0	0	0	0	4	0	48.78%	41	1	0.87	0	1	0	0	2	3	0
6	J.J. Moser	Ottawa Senators	D	38	2	21	23	13	6	0	16	46	51	21	32	3.92%	33	674	17.75	1	2	3	30	98	0	0	0	0	60	0	0	0%	0	0	0.68	0	0	0	0	0	3	1
7	Nick Foligno	Ottawa Senators	C/LW	38	11	12	23	1	20	0	43	59	78	23	64	14.10%	2	723	19.03	3	4	7	9	95	1	1	2	6	168	0	1	51.84%	245	0	0.64	1	1	0	0	0	1	4
8	Samuel Girard	Ottawa Senators	D	38	5	16	21	-10	38	0	71	52	64	13	39	7.81%	50	805	21.21	2	3	5	29	97	1	1	2	3	102	0	0	0%	0	0	0.52	0	0	0	0	0	0	1
9	Casey Mittelstadt	Ottawa Senators	C	38	10	10	20	0	16	0	26	59	58	12	47	17.24%	6	547	14.40	0	0	0	0	0	0	0	0	0	11	0	0	48.07%	647	0	0.73	0	0	0	0	1	0	2
10	Jonathan Drouin	Ottawa Senators	LW/RW	39	6	11	17	-4	10	0	22	31	71	10	56	8.45%	6	647	16.61	2	5	7	12	98	0	0	0	1	9	1	0	44.12%	68	0	0.53	0	0	0	0	0	0	0
11	Luke Schenn	Ottawa Senators	D	38	3	13	16	12	76	0	104	20	22	8	17	13.64%	42	627	16.51	0	0	0	0	2	0	1	1	1	98	0	0	0%	0	0	0.51	0	0	0	0	1	0	1
12	Sean Couturier	Ottawa Senators	C	38	6	8	14	-3	0	0	7	66	55	19	34	10.91%	3	451	11.87	1	0	1	1	3	0	0	0	0	0	1	0	58.40%	524	0	0.62	0	0	0	0	0	0	0
13	Marcus Foligno	Ottawa Senators	LW/RW	38	7	6	13	-2	37	15	72	28	74	22	52	9.46%	9	656	17.26	0	1	1	12	94	2	0	2	2	110	0	0	39.13%	46	0	0.40	1	1	0	3	1	1	0
14	Jason Zucker	Ottawa Senators	LW/RW	38	8	3	11	1	27	5	61	43	46	9	18	17.39%	4	530	13.95	0	0	0	0	0	0	0	0	0	7	1	0	34.15%	41	0	0.42	0	0	1	0	0	2	0
15	Jamie Drysdale	Ottawa Senators	D	39	2	5	7	-16	16	0	42	24	23	2	14	8.70%	38	640	16.43	0	1	1	1	10	0	0	0	0	13	0	0	0%	0	0	0.22	0	0	0	0	0	0	1
16	Sam Colangelo	Ottawa Senators	LW/RW	36	3	3	6	-4	0	0	4	14	34	2	26	8.82%	2	280	7.80	0	0	0	0	0	0	0	0	0	0	1	0	52.63%	19	0	0.43	0	0	0	0	0	0	0
17	Nicolas Deslauriers	Ottawa Senators	LW	38	2	1	3	-4	10	0	35	10	28	5	16	7.14%	2	294	7.75	0	0	0	0	0	0	0	0	0	0	1	0	28.57%	14	0	0.20	0	0	0	0	0	0	1
18	Matt Rempe	Ottawa Senators	C/LW/RW	38	2	0	2	-4	4	0	29	15	14	2	7	14.29%	1	294	7.76	0	0	0	0	0	0	0	0	0	0	0	0	35.13%	316	0	0.14	0	0	0	0	0	0	0
19	Bokondji Imama	Ottawa Senators	LW	2	0	0	0	0	0	0	1	0	0	0	0	0%	0	15	7.52	0	0	0	0	0	0	0	0	0	1	0	0	0%	1	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				686	116	207	323	-49	360	20	789	785	1067	287	744	10.87%	354	11210	16.34	24	47	71	227	999	5	8	13	18	1031	11	1	49.23%	3291	1	0.58	3	5	1	3	9	16	14

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	GA	SA	EG	PS %	PSA	ST	BG	S1
1	Anthony Stolarz	Ottawa Senators	18	8	8	1	0.900	3.12	1058	55	549	2	0	0	17	13	3
2	Spencer Knight	Ottawa Senators	21	4	14	3	0.878	3.87	1226	79	650	3	0.600	5	21	2	0
Statistiques d’équipe totales ou en moyenne			39	12	22	4	0.888	3.52	2285	134	1199	5		5	38	15	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 joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Anthony Stolarz	Ottawa Senators	G	31	1994-01-20	USA	No	243 Lbs	6 ft6	No	No	Trade	2025-10-03	No	No	5	2025-10-02	False	False	Pro & Farm	2,500,000$	1,406,250$	2,500,000$	1,406,250$	No	3,750,000$	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	3,750,000$	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Bokondji Imama	Ottawa Senators	LW	29	1996-08-03	CAN	No	221 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-06-29	False	False	Pro & Farm	775,000$	435,938$	775,000$	435,938$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Brock Faber	Ottawa Senators	D	23	2002-08-22	USA	No	200 Lbs	6 ft1	No	No	Trade	2025-09-20	No	No	5	2025-07-03	False	False	Pro & Farm	8,500,000$	4,781,250$	8,500,000$	4,781,250$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	-	-	-	-	-	8,500,000$	8,500,000$	8,500,000$	8,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Cam York	Ottawa Senators	D	24	2001-01-05	USA	No	194 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2025-07-22	False	False	Pro & Farm	5,150,000$	2,896,875$	5,150,000$	2,896,875$	No	5,150,000$	5,150,000$	5,150,000$	5,150,000$	-	-	-	-	-	5,150,000$	5,150,000$	5,150,000$	5,150,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Casey Mittelstadt	Ottawa Senators	C	27	1998-11-22	USA	No	195 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	5,750,000$	3,234,375$	5,750,000$	3,234,375$	No	5,750,000$	-	-	-	-	-	-	-	-	5,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Connor McMichael	Ottawa Senators	C/LW	24	2001-01-15	CAN	No	180 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	2,100,000$	1,181,250$	2,100,000$	1,181,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Georgi Romanov	Ottawa Senators	G	26	1999-12-15	RUS	No	196 Lbs	6 ft5	No	No	Fantasy Draft		No	No	1	2025-10-09	False	False	Pro & Farm	775,000$	435,938$	775,000$	435,938$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
J.J. Moser	Ottawa Senators	D	25	2000-06-06	CHE	No	181 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	3,375,000$	1,898,438$	3,375,000$	1,898,438$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jamie Drysdale	Ottawa Senators	D	23	2002-04-08	CAN	No	185 Lbs	5 ft11	No	No	Trade	2025-10-12	No	No	1	2025-05-26	False	False	Pro & Farm	2,300,000$	1,293,750$	2,300,000$	1,293,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jason Zucker	Ottawa Senators	LW/RW	33	1992-01-16	USA	No	195 Lbs	5 ft11	No	Yes	Trade	2025-09-26	No	No	2	2025-06-29	False	False	Pro & Farm	4,750,000$	2,671,875$	4,750,000$	2,671,875$	No	4,750,000$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Jonathan Drouin	Ottawa Senators	LW/RW	30	1995-03-28	CAN	No	198 Lbs	5 ft11	No	No	Trade	2025-10-12	No	No	2	2025-10-12	False	False	Pro & Farm	2,000,000$	1,125,000$	2,000,000$	1,125,000$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Kyle Palmieri	Ottawa Senators	C/LW/RW	34	1991-02-01	USA	No	195 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2025-06-29	False	False	Pro & Farm	4,750,000$	2,671,875$	4,750,000$	2,671,875$	No	4,750,000$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Luke Schenn	Ottawa Senators	D	36	1989-11-02	CAN	No	225 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	2,750,000$	1,546,875$	2,750,000$	1,546,875$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Marcus Foligno	Ottawa Senators	LW/RW	34	1991-08-10	USA	No	226 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2025-05-26	False	False	Pro & Farm	4,000,000$	2,250,000$	4,000,000$	2,250,000$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Matt Rempe	Ottawa Senators	C/LW/RW	23	2002-06-29	CAN	No	255 Lbs	6 ft9	No	No	Assign Manually		No	No	2	2025-06-29	False	False	Pro & Farm	975,000$	548,438$	975,000$	548,438$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Nick Foligno	Ottawa Senators	C/LW	38	1987-10-31	USA	No	210 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	4,500,000$	2,531,250$	4,500,000$	2,531,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Nicolas Deslauriers	Ottawa Senators	LW	34	1991-02-22	CAN	No	218 Lbs	6 ft1	No	No	Assign Manually		No	Yes	1	2025-05-26	False	False	Pro & Farm	1,750,000$	984,375$	1,750,000$	984,375$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Sam Colangelo	Ottawa Senators	LW/RW	24	2001-12-26	USA	No	211 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-08-19	False	False	Pro & Farm	850,000$	478,125$	850,000$	478,125$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Samuel Girard	Ottawa Senators	D	27	1998-05-12	CAN	No	170 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	5,000,000$	2,812,500$	5,000,000$	2,812,500$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Sean Couturier	Ottawa Senators	C	33	1992-12-07	USA	No	210 Lbs	6 ft4	No	No	Assign Manually		No	No	5	2025-05-26	False	False	Pro & Farm	7,750,000$	4,359,375$	7,750,000$	4,359,375$	No	7,750,000$	7,750,000$	7,750,000$	7,750,000$	-	-	-	-	-	7,750,000$	7,750,000$	7,750,000$	7,750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Spencer Knight	Ottawa Senators	G	24	2001-04-19	USA	No	191 Lbs	6 ft3	No	No	Assign Manually		No	No	4	2025-09-15	False	False	Pro & Farm	4,500,000$	2,531,250$	4,500,000$	2,531,250$	No	5,833,333$	5,833,333$	5,833,333$	-	-	-	-	-	-	5,833,333$	5,833,333$	5,833,333$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Tim Stutzle	Ottawa Senators	C/LW/RW	23	2002-01-15	DEU	No	192 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2025-05-26	False	False	Pro & Farm	8,350,000$	4,696,875$	8,350,000$	4,696,875$	No	8,350,000$	8,350,000$	8,350,000$	8,350,000$	-	-	-	-	-	8,350,000$	8,350,000$	8,350,000$	8,350,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.41	204 Lbs	6 ft2	2.45	3,779,545$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
83,150,000$	67,408,333$	43,333,333$	39,333,333$	33,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Palmieri	Tim Stutzle	Jason Zucker	30	1	2	2
2	Connor McMichael	Casey Mittelstadt	Jonathan Drouin	30	1	2	2
3	Nick Foligno	Sean Couturier	Marcus Foligno	25	1	2	2
4	Nicolas Deslauriers	Matt Rempe	Sam Colangelo	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brock Faber	Cam York	30	1	2	2
2	Samuel Girard	Jamie Drysdale	30	1	2	2
3	J.J. Moser	Luke Schenn	25	1	2	2
4	Brock Faber	Cam York	15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Palmieri	Tim Stutzle	Jonathan Drouin	50	1	2	2
2	Nick Foligno	Connor McMichael	Marcus Foligno	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brock Faber	Cam York	50	1	2	2
2	Samuel Girard	J.J. Moser	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Tim Stutzle	Nick Foligno	50	1	2	2
2	Nick Foligno	Marcus Foligno	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brock Faber	Cam York	50	1	2	2
2	Samuel Girard	Luke Schenn	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Tim Stutzle	50	1	2	2	Brock Faber	Cam York	50	1	2	2
2	Nick Foligno	50	1	2	2	Samuel Girard	Luke Schenn	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Tim Stutzle	Nick Foligno	50	1	2	2
2	Nick Foligno	Marcus Foligno	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brock Faber	Cam York	50	1	2	2
2	Samuel Girard	Luke Schenn	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Foligno	Tim Stutzle	Kyle Palmieri	Brock Faber	Cam York

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Foligno	Tim Stutzle	Kyle Palmieri	Brock Faber	Cam York

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Connor McMichael, Sean Couturier, Casey Mittelstadt	Connor McMichael, Sean Couturier	Connor McMichael

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Luke Schenn, J.J. Moser, Jamie Drysdale	Luke Schenn	Luke Schenn, J.J. Moser

Tirs de pénalité
Tim Stutzle, Kyle Palmieri, Nick Foligno, Marcus Foligno, Connor McMichael

Gardien
#1 : Spencer Knight, #2 : Georgi Romanov

Lignes d’attaque personnalisées en prolongation
Tim Stutzle, Kyle Palmieri, Nick Foligno, Marcus Foligno, Connor McMichael, Sean Couturier, Casey Mittelstadt, Jonathan Drouin, Nicolas Deslauriers, Matt Rempe

Lignes de défense personnalisées en prolongation
Brock Faber, Cam York, Samuel Girard, Luke Schenn, J.J. Moser

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	Anaheim Ducks	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	8	12	1	0	0	1	3	0	30	6	5	19	0	36	11	10	28	2	1	50.00%	5	2	60.00%	1	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	22	15	25	6	12	6
2	Boston Bruins	4	2	2	0	0	0	0	0	12	14	-2	2	1	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	5	6	-1	4	0.500	12	22	34	1	0	9	1	2	0	110	37	34	39	0	143	48	30	68	16	2	12.50%	12	1	91.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	89	60	101	29	49	24
3	Buffalo Sabres	2	1	0	0	0	0	1	0	7	5	2	1	0	0	0	0	0	1	0	5	4	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	11	18	0	0	0	3	3	3	49	14	19	12	9	56	14	16	54	7	2	28.57%	7	2	71.43%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	48	33	50	15	25	11
4	Calgary Flames	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	2	1	2	0	36	9	10	17	0	27	5	10	24	3	0	0.00%	5	1	80.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	26	19	20	7	13	7
5	Chicago Blackhawks	2	0	1	0	1	0	0	0	5	5	0	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	7	12	0	0	1	1	2	1	47	10	14	22	1	55	15	14	36	4	1	25.00%	7	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	46	31	49	14	24	11
6	Columbus Blue Jackets	2	0	1	0	0	1	0	0	7	9	-2	1	0	1	0	0	0	0	0	4	5	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	7	12	19	0	0	4	2	1	0	57	22	20	15	0	62	16	20	52	10	3	30.00%	9	3	66.67%	1	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	49	34	46	14	24	12
7	Dallas Stars	2	1	0	0	0	1	0	0	9	6	3	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	9	15	24	0	0	5	1	3	0	58	18	22	17	1	54	7	4	40	7	2	28.57%	2	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	51	35	45	14	26	14
8	Edmonton Oilers	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	0	1	2	0	28	9	13	6	0	45	15	10	22	5	1	20.00%	5	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	20	12	27	7	13	6
9	Florida Panthers	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	3	0	1	0	43	21	7	13	2	39	7	7	17	7	2	28.57%	1	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	25	17	25	6	12	6
10	Los Angeles Kings	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	5	10	15	0	0	1	2	2	0	65	21	18	26	0	61	19	19	41	5	1	20.00%	6	2	66.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	49	35	46	14	23	11
11	Minnesota Wild	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	9	15	0	0	2	3	1	0	34	12	15	7	0	36	10	8	26	3	0	0.00%	4	1	75.00%	1	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	23	16	23	7	12	6
12	Montreal Canadiens	2	1	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	5	7	-2	2	0.500	5	10	15	0	0	2	3	0	0	54	25	18	11	0	69	23	30	42	2	0	0.00%	15	2	86.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	43	27	53	16	23	10
13	Nashville Predators	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	0	2	0	24	7	11	6	0	38	17	35	19	4	1	25.00%	8	3	62.50%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	20	13	26	7	12	6
14	New Jersey Devils	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	26	7	8	11	0	31	8	4	26	2	0	0.00%	2	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	24	17	22	7	12	6
15	New York Islanders	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	0	3	0	0	27	6	10	11	0	31	7	8	22	2	0	0.00%	4	1	75.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	21	13	25	7	13	6
16	New York Rangers	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	1	2	0	0	19	4	5	10	0	34	12	6	18	3	1	33.33%	3	1	66.67%	1	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	20	13	25	8	14	6
17	Philadelphia Flyers	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	7	11	18	1	0	1	3	3	0	55	16	21	18	0	60	11	23	35	8	1	12.50%	8	2	75.00%	1	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	46	31	47	14	26	13
18	Pittsburgh Penguins	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	1	0	2	1	0	0	26	8	12	6	0	30	12	14	25	1	0	0.00%	7	3	57.14%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	20	12	25	7	13	7
19	San Jose Sharks	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	2	0	0	0	26	9	8	9	0	27	9	8	20	1	0	0.00%	3	1	66.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	21	14	24	7	14	6
20	Seattle Kraken	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	0	1	0	26	9	10	7	0	33	8	6	17	3	0	0.00%	3	1	66.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	21	16	27	6	10	5
21	St. Louis Blues	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	0	0	2	1	1	0	57	21	14	22	0	53	27	22	44	3	1	33.33%	11	2	81.82%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	44	30	50	14	24	11
22	Tampa Bay Lightning	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	1	0	1	0	26	8	10	8	0	31	11	10	21	6	0	0.00%	5	1	80.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	21	14	24	8	13	6
23	Toronto Maple Leafs	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	0	2	0	28	3	10	15	0	33	12	10	17	3	1	33.33%	5	2	60.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	24	17	23	7	11	5
24	Utah Mammoth	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	4	1	0	28	8	8	12	0	32	7	12	18	3	2	66.67%	6	4	33.33%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	22	15	23	7	14	6
25	Vegas Golden Knights	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	1	0	1	0	29	12	11	6	0	27	9	8	23	6	1	16.67%	3	0	100.00%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	24	16	23	7	12	6
26	Washington Capitals	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	1	0	1	0	1	0	32	10	12	10	0	30	1	8	11	3	1	33.33%	3	1	66.67%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	27	19	19	6	12	5
27	Winnipeg Jets	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	2	0	0	0	21	8	9	4	0	31	8	6	20	1	0	0.00%	3	2	33.33%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	19	13	27	7	12	6
	Total	38	10	22	0	1	4	1	0	117	139	-22	18	5	10	0	1	1	1	0	63	69	-6	20	5	12	0	0	3	0	0	54	70	-16	28	0.368	117	205	322	5	0	46	34	35	4	1061	340	354	359	13	1204	349	358	786	120	24	20.00%	152	38	75.00%	5	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	877	600	934	279	481	236
	_Since Last GM Reset	38	10	22	0	1	4	1	0	117	139	-22	18	5	10	0	1	1	1	0	63	69	-6	20	5	12	0	0	3	0	0	54	70	-16	28	0.368	117	205	322	5	0	46	34	35	4	1061	340	354	359	13	1204	349	358	786	120	24	20.00%	152	38	75.00%	5	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	877	600	934	279	481	236
	_Vs Conference	20	5	12	0	0	2	1	0	59	78	-19	9	2	6	0	0	0	1	0	30	37	-7	11	3	6	0	0	2	0	0	29	41	-12	14	0.350	59	104	163	4	0	25	19	14	3	552	181	186	179	11	649	182	186	408	70	13	18.57%	81	19	76.54%	3	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	461	314	492	148	254	124
	_Vs Division	11	4	5	0	0	1	1	0	32	38	-6	3	1	1	0	0	0	1	0	12	12	0	8	3	4	0	0	1	0	0	20	26	-6	11	0.500	32	57	89	1	0	15	7	9	3	310	108	98	98	11	371	115	103	219	41	7	17.07%	45	8	82.22%	0	627	1251	50.12%	682	1367	49.89%	303	635	47.72%	252	171	279	82	136	66

			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
38	28	L2	117	205	322	1061	1204	349	358	786	5	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	10	22	1	4	1	0	117	139

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	5	10	1	1	1	0	63	69

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	5	12	0	3	0	0	54	70

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
120	24	20.00%	152	38	75.00%	5

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
340	354	359	13	46	34	35	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
627	1251	50.12%	682	1367	49.89%	303	635	47.72%

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
877	600	934	279	481	236

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
3	11	Ottawa Senators	2	Tampa Bay Lightning	3	L			Sommaire du match
5	27	Ottawa Senators	4	Florida Panthers	5	L	X		Sommaire du match
7	41	Nashville Predators	5	Ottawa Senators	2	L			Sommaire du match
9	57	Ottawa Senators	2	Buffalo Sabres	1	W			Sommaire du match
10	63	Seattle Kraken	4	Ottawa Senators	2	L			Sommaire du match
12	77	New York Islanders	2	Ottawa Senators	3	W			Sommaire du match
15	99	Edmonton Oilers	4	Ottawa Senators	3	L	X		Sommaire du match
17	112	Philadelphia Flyers	5	Ottawa Senators	3	L			Sommaire du match
19	135	Ottawa Senators	2	Washington Capitals	4	L			Sommaire du match
21	149	Boston Bruins	6	Ottawa Senators	3	L			Sommaire du match
22	160	Ottawa Senators	1	Chicago Blackhawks	2	L			Sommaire du match
24	168	Calgary Flames	1	Ottawa Senators	5	W			Sommaire du match
26	187	Ottawa Senators	1	Montreal Canadiens	5	L			Sommaire du match
31	218	Ottawa Senators	3	Boston Bruins	5	L			Sommaire du match
33	232	Ottawa Senators	4	Philadelphia Flyers	7	L			Sommaire du match
34	247	Utah Mammoth	5	Ottawa Senators	7	W			Sommaire du match
36	258	Dallas Stars	3	Ottawa Senators	7	W			Sommaire du match
38	271	Boston Bruins	2	Ottawa Senators	4	W			Sommaire du match
40	286	Los Angeles Kings	3	Ottawa Senators	1	L			Sommaire du match
45	329	Ottawa Senators	4	Anaheim Ducks	6	L			Sommaire du match
47	342	Ottawa Senators	2	San Jose Sharks	3	L			Sommaire du match
49	359	Ottawa Senators	4	Los Angeles Kings	5	L			Sommaire du match
51	373	Ottawa Senators	2	Vegas Golden Knights	1	W			Sommaire du match
53	382	Ottawa Senators	2	St. Louis Blues	4	L			Sommaire du match
55	405	Ottawa Senators	2	Dallas Stars	3	L	X		Sommaire du match
57	411	Ottawa Senators	4	Montreal Canadiens	2	W			Sommaire du match
59	427	New York Rangers	5	Ottawa Senators	3	L			Sommaire du match
61	445	St. Louis Blues	4	Ottawa Senators	2	L			Sommaire du match
64	467	New Jersey Devils	3	Ottawa Senators	2	L			Sommaire du match
66	486	Ottawa Senators	3	Columbus Blue Jackets	4	L	X		Sommaire du match
68	496	Ottawa Senators	6	Minnesota Wild	1	W			Sommaire du match
70	516	Ottawa Senators	2	Winnipeg Jets	4	L			Sommaire du match
73	537	Pittsburgh Penguins	5	Ottawa Senators	3	L			Sommaire du match
75	551	Chicago Blackhawks	3	Ottawa Senators	4	W	X		Sommaire du match
76	564	Ottawa Senators	2	Boston Bruins	1	W			Sommaire du match
78	578	Buffalo Sabres	4	Ottawa Senators	5	W	X	X	Sommaire du match
82	590	Ottawa Senators	2	Toronto Maple Leafs	4	L			Sommaire du match
84	606	Columbus Blue Jackets	5	Ottawa Senators	4	L			Sommaire du match
87	632	Washington Capitals	-	Ottawa Senators	-
89	650	Winnipeg Jets	-	Ottawa Senators	-
91	664	Detroit Red Wings	-	Ottawa Senators	-
93	680	Ottawa Senators	-	Utah Mammoth	-
94	691	Ottawa Senators	-	Colorado Avalanche	-
96	704	Florida Panthers	-	Ottawa Senators	-
99	725	Vancouver Canucks	-	Ottawa Senators	-
100	737	Ottawa Senators	-	New York Rangers	-
103	758	Montreal Canadiens	-	Ottawa Senators	-
104	768	Ottawa Senators	-	Detroit Red Wings	-
106	782	Ottawa Senators	-	Columbus Blue Jackets	-
108	798	Ottawa Senators	-	Nashville Predators	-
110	813	Carolina Hurricanes	-	Ottawa Senators	-
111	821	Vegas Golden Knights	-	Ottawa Senators	-
114	841	Colorado Avalanche	-	Ottawa Senators	-
117	866	New Jersey Devils	-	Ottawa Senators	-
119	877	Ottawa Senators	-	Pittsburgh Penguins	-
120	890	Ottawa Senators	-	Carolina Hurricanes	-
122	907	Ottawa Senators	-	Philadelphia Flyers	-
143	920	Detroit Red Wings	-	Ottawa Senators	-
145	939	Ottawa Senators	-	Toronto Maple Leafs	-
148	966	Ottawa Senators	-	Edmonton Oilers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150	981	Ottawa Senators	-	Calgary Flames	-
152	1000	Ottawa Senators	-	Seattle Kraken	-
154	1011	Ottawa Senators	-	Vancouver Canucks	-
156	1025	Montreal Canadiens	-	Ottawa Senators	-
159	1043	Anaheim Ducks	-	Ottawa Senators	-
160	1058	San Jose Sharks	-	Ottawa Senators	-
163	1079	Ottawa Senators	-	Washington Capitals	-
164	1084	New York Islanders	-	Ottawa Senators	-
166	1106	Toronto Maple Leafs	-	Ottawa Senators	-
168	1119	Ottawa Senators	-	New York Rangers	-
169	1122	Ottawa Senators	-	Detroit Red Wings	-
171	1138	Pittsburgh Penguins	-	Ottawa Senators	-
173	1152	Ottawa Senators	-	Tampa Bay Lightning	-
176	1181	Ottawa Senators	-	Florida Panthers	-
178	1191	Buffalo Sabres	-	Ottawa Senators	-
180	1208	Minnesota Wild	-	Ottawa Senators	-
181	1225	Carolina Hurricanes	-	Ottawa Senators	-
183	1234	Tampa Bay Lightning	-	Ottawa Senators	-
185	1249	Florida Panthers	-	Ottawa Senators	-
187	1262	Ottawa Senators	-	New York Islanders	-
188	1279	Ottawa Senators	-	New Jersey Devils	-
191	1304	Toronto Maple Leafs	-	Ottawa Senators	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	2000
Prix des billets	90	60	45	30	190
Assistance	103,480	85,506	34,232	69,789	34,819
Attendance PCT	95.81%	95.01%	95.09%	96.93%	96.72%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
23	18213 - 95.86%	1,783,404$	32,101,264$	19000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
36,359,758$	83,150,000$	83,150,000$	1$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
83,150,000$	36,370,175$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
41,018,282$	108	433,073$	46,771,884$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
47,656,128$	22,732,752$	23,462,253$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
83,150,000$	12,350,000$	95,500,000$	12,550,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tim Stutzle	AGE:23	PO:0	OV:80
Kyle Palmieri	AGE:34	PO:0	OV:79
Jason Zucker	AGE:33	PO:0	OV:78
Nick Foligno	AGE:38	PO:0	OV:78
Connor McMichael	AGE:24	PO:0	OV:77
Marcus Foligno	AGE:34	PO:0	OV:77
Jonathan Drouin	AGE:30	PO:0	OV:75
Nicolas Deslauriers	AGE:34	PO:0	OV:69
Kurtis MacDermid	AGE:31	PO:0	OV:68
Sam Colangelo	AGE:24	PO:0	OV:66
Matt Rempe	AGE:23	PO:0	OV:64
Riley Tufte	AGE:27	PO:0	OV:63
Adam Erne	AGE:30	PO:0	OV:62
Bokondji Imama	AGE:29	PO:0	OV:62
Gabriel Fortier	AGE:25	PO:0	OV:60
Grigori Denisenko	AGE:25	PO:0	OV:60
Donavan Houle	AGE:26	PO:0	OV:58

Tim Stutzle	AGE:23	PO:0	OV:80
Kyle Palmieri	AGE:34	PO:0	OV:79
Nick Foligno	AGE:38	PO:0	OV:78
Connor McMichael	AGE:24	PO:0	OV:77
Sean Couturier	AGE:33	PO:0	OV:77
Casey Mittelstadt	AGE:27	PO:0	OV:76
Samuel Helenius	AGE:23	PO:0	OV:65
Matt Rempe	AGE:23	PO:0	OV:64
T.J. Tynan	AGE:33	PO:0	OV:63
Adam Erne	AGE:30	PO:0	OV:62
Francesco Pinelli	AGE:22	PO:0	OV:59
Donavan Houle	AGE:26	PO:0	OV:58

Tim Stutzle	AGE:23	PO:0	OV:80
Kyle Palmieri	AGE:34	PO:0	OV:79
Jason Zucker	AGE:33	PO:0	OV:78
Marcus Foligno	AGE:34	PO:0	OV:77
Jonathan Drouin	AGE:30	PO:0	OV:75
Carl Grundstrom	AGE:28	PO:0	OV:70
Sam Colangelo	AGE:24	PO:0	OV:66
Matt Rempe	AGE:23	PO:0	OV:64
Adam Erne	AGE:30	PO:0	OV:62
Sam Poulin	AGE:24	PO:0	OV:62
Jani Nyman	AGE:21	PO:0	OV:60
Matt Luff	AGE:28	PO:0	OV:60
Rutger McGroarty	AGE:21	PO:0	OV:59
Donavan Houle	AGE:26	PO:0	OV:58
Alex Beaucage	AGE:24	PO:0	OV:57

Défense #1

Défense #2

Gardien

Brock Faber	AGE:23	PO:0	OV:78
Cam York	AGE:24	PO:0	OV:77
Samuel Girard	AGE:27	PO:0	OV:77
Luke Schenn	AGE:36	PO:0	OV:76
J.J. Moser	AGE:25	PO:0	OV:75
Jamie Drysdale	AGE:23	PO:0	OV:73
Calle Rosen	AGE:31	PO:0	OV:66
Kale Clague	AGE:27	PO:0	OV:64

Samuel Bolduc	AGE:25	PO:0	OV:64
Zach Metsa	AGE:27	PO:0	OV:64
Connor Mackey	AGE:29	PO:0	OV:63
Chad Nychuk	AGE:24	PO:0	OV:60
Djibril Toure	AGE:22	PO:0	OV:60
Jeremie Bucheler	AGE:25	PO:0	OV:59
Calle Odelius	AGE:21	PO:0	OV:58
Matt Anderson	AGE:26	PO:0	OV:58

Anthony Stolarz	AGE:31	PO:0	OV:80
Spencer Knight	AGE:24	PO:0	OV:74
Georgi Romanov	AGE:26	PO:0	OV:61
Jacob Fowler	AGE:21	PO:0	OV:57
Tristan Lennox	AGE:23	PO:0	OV:54

Espoirs

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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	Information	Date de la Dernière Transaction	Lien
Artyom Gonchar	Ottawa Senators	2025	266	Fantasy Draft		Lien
Axel Sandin-Pellikka	Ottawa Senators	2025	10	Fantasy Draft		Lien
Cole Beaudoin	Ottawa Senators	2025	97	Fantasy Draft	2025-09-20	Lien
Gabriel D'Aigle	Ottawa Senators	2025	202	Fantasy Draft		Lien
Jack Sparkes	Ottawa Senators	2025	311	Fantasy Draft		Lien
Luca Pinelli	Ottawa Senators	2025	183	Fantasy Draft		Lien
Terik Parascak	Ottawa Senators	2025	55	Fantasy Draft		Lien
Tyler Thorpe	Ottawa Senators	2025	247	Fantasy Draft		Lien
Will Zellers	Ottawa Senators	2025	119	Fantasy Draft		Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Ottawa Senators Historique de transactions

[2025-11-09 09:02:01] New Record for Team's Most Points (19) in 1 Game for Ottawa Senators!
[2025-11-09 09:02:01] New Record for Team's Most Assists (12) in 1 Game for Ottawa Senators!
[2025-11-09 09:02:01] New Record for Team's Most Goals (7) in 1 Game for Ottawa Senators!
[2025-11-06 08:00:24] New Record for Team's Most Hits (29) in 1 Game for Ottawa Senators!
[2025-10-30 08:03:38] New Record for Team's Most Goals (5) in 1 Game for Ottawa Senators!
[2025-10-15 08:05:12] New Record for Team's Most Hits (28) in 1 Game for Ottawa Senators!
[2025-10-13 09:30:47] New Record for Team's Most Penalties Minutes (35) in 1 Game for Ottawa Senators!
[2025-10-13 09:30:47] New Record for Team's Most Shots Blocked (17) in 1 Game for Ottawa Senators!
[2025-10-13 09:30:47] New Record for Team's Most Penalties Minutes (35) in 1 Game for Ottawa Senators!
[2025-10-12 10:13:23] TRADE : From Pittsburgh Penguins to Ottawa Senators : Jamie Drysdale (73), Jani Nyman (60), Jonathan Drouin (75).
[2025-10-12 10:13:23] TRADE : From Ottawa Senators to Pittsburgh Penguins : Jordan Eberle (76), Ryan Graves (75), Ethan Gauthier (P), Y:2026-RND:3-NYR, Y:2026-RND:5-OTT.
[2025-10-10 08:04:49] New Record for Team's Most Shots (43) in 1 Game for Ottawa Senators!
[2025-10-10 08:04:49] New Record for Team's Most Points (12) in 1 Game for Ottawa Senators!
[2025-10-10 08:04:49] New Record for Team's Most Assists (8) in 1 Game for Ottawa Senators!
[2025-10-10 08:04:49] New Record for Team's Most Goals (4) in 1 Game for Ottawa Senators!
[2025-10-09 18:57:57] Adam Erne was added to Ottawa Senators.
[2025-10-09 08:02:58] New Record for Team's Most Hits (21) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (10) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (11) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Shots (26) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Points (5) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Assists (3) in 1 Game for Ottawa Senators!
[2025-10-09 08:02:58] New Record for Team's Most Goals (2) in 1 Game for Ottawa Senators!
[2025-10-03 20:26:22] TRADE : From Nashville Predators to Ottawa Senators : Anthony Stolarz (81).
[2025-10-03 20:26:22] TRADE : From Ottawa Senators to Nashville Predators : Elvis Merzlikins (78), Y:2026-RND:6-OTT.
[2025-09-26 21:18:01] TRADE : From Ottawa Senators to Chicago Blackhawks : Carson Bjarnason (P), Y:2026-RND:2-OTT.
[2025-09-26 21:18:01] TRADE : From Chicago Blackhawks to Ottawa Senators : Jason Zucker (78), Kale Clague (64).
[2025-09-20 21:39:04] TRADE : From Ottawa Senators to New York Rangers : Jackson LaCombe (78), Sam Dickinson (P), Y:2026-RND:4-NYI.
[2025-09-20 21:39:04] TRADE : From New York Rangers to Ottawa Senators : Brock Faber (78), Cole Beaudoin (P), Y:2026-RND:3-NYR.
[2025-09-19 15:17:47] Jordan Papirny was released.
[2025-09-19 15:17:47] Joakim Ryan was released.
[2025-09-19 15:17:47] Jesper Fast was released.
[2025-09-19 15:17:47] Jani Hakanpaa was released.
[2025-09-19 15:17:47] Colton Poolman was released.
[2025-09-19 15:17:47] Adam Erne was released.
[2025-09-19 15:13:34] TRADE : From Ottawa Senators to New York Islanders : Cutter Gauthier (72), Y:2026-RND:3-OTT.
[2025-09-19 15:13:34] TRADE : From New York Islanders to Ottawa Senators : Jordan Eberle (76), Kurtis MacDermid (67), Sam Dickinson (P), Y:2026-RND:4-NYI.
[2025-09-10 23:08:36] Belleville Senators hired Joel Bouchard for $1 for 5 year(s).
[2025-09-10 23:08:28] Ottawa Senators hired Daniel Alfredsson for $1 for 5 year(s).
[2025-07-26 09:36:32] Jesper Fast has been selected as assistant for Belleville Senators.
[2025-07-26 09:36:32] Unknown Player is no longer as assistant for Belleville Senators.
[2025-07-26 09:36:32] Jani Hakanpaa has been selected as assistant for Belleville Senators.
[2025-07-26 09:36:32] Unknown Player is no longer as assistant for Belleville Senators.
[2025-07-26 09:36:32] Adam Erne has been selected as captain for Belleville Senators.
[2025-07-26 09:36:32] Unknown Player is no longer captain for Belleville Senators.
[2025-07-26 09:36:32] Marcus Foligno has been selected as assistant for Ottawa Senators.
[2025-07-26 09:36:32] Unknown Player is no longer as assistant for Ottawa Senators.
[2025-07-26 09:36:32] Nick Foligno has been selected as assistant for Ottawa Senators.
[2025-07-26 09:36:32] Unknown Player is no longer as assistant for Ottawa Senators.
[2025-07-26 09:36:32] Sean Couturier has been selected as captain for Ottawa Senators.
[2025-07-26 09:36:32] Unknown Player is no longer captain for Ottawa Senators.

Pas de blessure ou de suspension.

Ottawa Senators Leaders statistiques des joueurs (saison régulière)

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#	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

Ottawa Senators Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Ottawa Senators Statistiques de l'Équipe de Carrière

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	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

Ottawa Senators Leaders statistiques des joueurs (séries éliminatoires)

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#	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

Ottawa Senators Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Ottawa Senators
	GP: 38 \| W: 12 \| L: 22 \| OTL: 4 \| P: 28 GF: 117 \| GA: 139 \| PP%: 20.00% \| PK%: 75.00% DG: Maxime Bérubé \| Morale : 50 \| Moyenne d’équipe : 74 Prochains matchs #632 vs Washington Capitals