Canadian Hockey League

Senators
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Senators 10-13-4, 24pts	3	FINAL	2	RedWings 19-7-1, 39pts

Team Stats
L1	Streak	W1
4-5-3	Home Record	9-3-1
6-8-1	Away Record	10-4-0
3-5-2	Last 10 Games	7-2-1
2.85	Goals Per Game	4.19
3.78	Goals Against Per Game	3.00
21.82%	Power Play Percentage	21.60%
78.62%	Penalty Kill Percentage	81.21%

Hurricanes
22-5-0, 44pts

FINAL

Senators
10-13-4, 24pts

Team Stats
W2	Streak	L1
11-3-0	Home Record	4-5-3
11-2-0	Away Record	6-8-1
8-2-0	Last 10 Games	3-5-2
4.22	Goals Per Game	2.85
2.56	Goals Against Per Game	3.78
19.75%	Power Play Percentage	21.82%
85.15%	Penalty Kill Percentage	78.62%

Jets
17-9-1, 35pts

Jour 57

Senators
10-13-4, 24pts

Stats Équipe
W1	Séquence	L1
7-5-0	Fiche domicile	4-5-3
10-4-1	Fiche visiteur	6-8-1
7-3-0	10 derniers matchs	3-5-2
3.56	Buts par match	2.85
2.93	Buts contre par match	3.78
17.33%	Pourcentage en avantage numérique	21.82%
73.58%	Pourcentage en désavantage numérique	78.62%

Ducks
11-13-2, 24pts

Jour 59

Senators
10-13-4, 24pts

Stats Équipe
W1	Séquence	L1
6-8-1	Fiche domicile	4-5-3
5-5-1	Fiche visiteur	6-8-1
5-5-0	10 derniers matchs	3-5-2
3.38	Buts par match	2.85
3.73	Buts contre par match	3.78
20.16%	Pourcentage en avantage numérique	21.82%
81.98%	Pourcentage en désavantage numérique	78.62%

Senators
10-13-4, 24pts

Jour 60

MapleLeafs
18-8-2, 38pts

Stats Équipe
L1	Séquence	W1
4-5-3	Fiche domicile	9-3-0
6-8-1	Fiche visiteur	9-5-2
3-5-2	10 derniers matchs	7-3-0
2.85	Buts par match	4.04
3.78	Buts contre par match	3.46
21.82%	Pourcentage en avantage numérique	25.93%
78.62%	Pourcentage en désavantage numérique	80.89%

Meneurs d'équipe
	Buts Josh Norris 11	Passes Quinn Hughes 23

	Points Quinn Hughes 26	Plus/Moins Josh Norris 2

	Victoires Jake Oettinger 15	Pourcentage d’arrêts Jake Oettinger 0.888

Stats Équipe
Buts pour 77 2.85 GFG	Tirs pour 799 29.59 Avg	Pourcentage en avantage numérique 21.8% 24 GF	Début de zone offensive 38.2%
Buts contre 102 3.78 GAA	Tirs contre 886 32.81 Avg	Pourcentage en désavantage numérique 78.6% 31 GA	Début de la zone défensive 42.8%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Guy Morin
	Entraîneur	Spencer Carbery
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Quinn Hughes
	Assistant #1
	Assistant #2	Jonathan Audy-Marchessault
Uniformes

Informations de l’aréna
	Nom	GFS Center
	Capacité	25,000
	Assistance	16,189
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	28
	Limite contact	49 / 50
	Espoirs	25
Plafond salarial
	Cap Salarial de la Saison estimé	81,842,817$
	Plafond salarial disponible	8,157,183$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	21,481,870$
	Dépenses annuelles à ce jour	25,990,501$
	Revenus de la saison estimés	51,914,519$
	Dépenses de la saison estimées	57,352,322$
	Compte bancaire actuel	144,757,703$
	Compte bancaire projeté	137,185,488$
Historique d'équipe
	Saison actuelle	10-13-4 (24PTS)
	Historique	741-799-132 (0.443%)
	Apparitions séries éliminatoires	6
	Historique séries éliminatoires (W-L)	33-31
	Stanley Cup	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Evgeni Malkin	X				100.00	51	56	78	84	76	84	89	75	81	81	69	69	73	99	92	0	18	74	0	39	2	6,500,000$
2	Josh Norris	X				100.00	96	49	74	85	63	85	81	71	89	61	81	86	73	74	80	65	20	74	0	26	5	7,000,000$
3	Ryan Donato			X		100.00	70	48	80	90	56	82	98	77	80	72	82	67	77	80	81	50	21	74	0	29	1	2,300,000$
4	Morgan Geekie		X			100.00	73	53	84	85	71	83	96	75	82	66	85	73	40	76	80	60	20	74	0	27	3	2,500,000$
5	Patrick Kane			X		100.00	46	41	87	93	46	84	92	79	40	83	74	60	80	96	90	10	16	73	0	37	2	6,500,000$
6	Anders Lee		X			100.00	75	62	81	82	83	83	99	72	40	65	79	67	40	92	88	20	21	72	0	35	1	3,200,000$
7	Jonathan Audy-Marchessault (A)			X		100.00	63	44	81	90	48	84	96	74	40	77	72	58	69	92	88	20	21	71	0	35	1	6,500,000$
8	Oliver Bjorkstrand			X		100.00	62	47	85	87	49	80	97	69	40	66	72	69	65	82	81	45	20	69	0	30	1	5,700,000$
9	Oskar Sundqvist			X		100.00	67	56	80	76	77	77	89	57	81	57	57	72	40	84	81	40	20	66	0	31	1	2,000,000$
10	Colin Blackwell	X				100.00	71	42	85	81	48	74	86	56	84	54	58	80	40	86	80	35	22	65	0	32	3	2,900,000$
11	Tommy Novak		X			100.00	43	44	89	82	53	77	80	62	78	54	70	69	90	78	78	55	27	65	0	28	2	3,000,000$
12	Trent Frederic		X			100.00	99	71	75	75	78	77	83	56	79	50	61	65	40	76	77	60	21	65	0	27	2	3,000,000$
13	Quinn Hughes (C)				X	100.00	44	44	81	99	47	92	89	96	40	99	79	78	40	74	83	65	21	78	0	26	3	1$
14	Ian Cole				X	100.00	70	61	71	75	82	84	99	54	40	56	52	87	40	94	89	15	21	74	0	36	2	3,500,000$
15	Cam Fowler				X	100.00	43	53	86	84	70	86	89	72	40	77	66	77	73	90	88	25	23	73	0	34	2	6,000,000$
16	Niko Mikkola				X	100.00	82	55	72	75	75	84	95	58	40	57	60	73	40	80	82	50	21	71	0	29	5	3,500,000$
17	Dmitry Kulikov				X	100.00	78	52	79	76	69	82	91	54	40	51	57	80	65	92	87	20	21	71	0	35	1	2,000,000$
18	Jeff Petry				X	100.00	67	53	83	75	71	81	73	53	40	53	53	76	40	98	90	5	20	69	0	38	1	4,000,000$
Rayé
1	Paul Cotter			X		100.00	99	56	74	76	72	77	97	56	40	46	67	64	80	74	76	65	19	65	0	26	4	2,500,000$
Équipe Mineure
1	Gage Goncalves			X		100.00	68	45	85	80	55	76	84	59	40	56	61	65	90	70	73	75	33	63	0	24	3	1,000,000$
2	Vincent Hinostroza	X				100.00	65	42	85	81	49	77	69	56	40	51	61	66	69	84	81	40	33	62	0	31	2	950,000$
3	Tanner Laczynski		X			100.00	62	47	79	81	66	60	50	62	40	64	60	65	40	78	69	55	33	62	0	28	2	975,000$
4	Tomas Nosek		X			100.00	73	51	87	75	67	71	83	51	87	51	51	70	40	88	80	30	33	62	0	33	1	2,000,000$
5	Nikita Nesterenko	X				100.00	94	49	88	78	63	72	57	57	40	48	66	62	40	70	71	75	33	62	0	24	1	750,000$
6	Carl Grundstrom			X		100.00	99	48	81	77	61	71	81	52	40	49	54	63	65	78	75	55	29	61	0	28	1	1,975,000$
7	Cole Guttman	X				100.00	50	45	80	82	48	79	69	58	70	60	57	50	90	74	77	65	33	61	0	26	1	825,000$
8	Joona Koppanen		X			100.00	99	57	90	75	79	77	51	49	74	40	57	63	40	76	77	60	33	60	0	27	2	850,000$
9	Jake Lucchini	X				100.00	53	48	79	77	51	79	69	51	70	48	55	67	80	82	81	45	34	60	0	30	2	900,000$
10	Noah Philp (R)	X				100.00	63	51	87	75	66	70	53	50	74	51	50	65	40	76	73	60	43	59	0	27	3	575,000$
11	Sam Morton (R)	X				100.00	61	46	85	88	56	79	69	51	70	49	53	51	40	74	77	65	28	59	0	26	3	575,000$
12	Braeden Bowman (R)		X			100.00	75	52	86	83	70	77	67	47	40	47	47	55	40	66	72	85	33	58	0	22	3	1,500,000$
13	Drew Helleson				X	100.00	81	58	73	76	74	77	81	56	40	53	59	76	40	70	74	75	24	68	0	24	1	1,250,000$
14	Nikita Novikov				X	100.00	62	50	75	75	72	72	67	39	40	37	41	70	40	66	69	85	33	61	0	22	2	925,000$
15	Joe Hicketts				X	100.00	76	39	75	75	41	66	61	44	40	52	36	68	40	80	73	50	33	60	0	29	1	950,000$
16	Noel Hoefenmayer				X	100.00	71	53	78	75	65	55	50	47	40	51	44	67	40	74	65	65	33	60	0	26	2	900,000$
17	Matt Kiersted				X	100.00	55	44	78	75	52	68	63	44	40	56	32	70	40	76	72	60	33	60	0	27	2	850,000$
18	Brian Halonen		X			100.00	60	55	75	76	64	71	61	51	40	37	66	70	40	74	73	65	18	59	0	26	1	632,500$
19	Zack Ostapchuk			X		100.00	86	66	74	75	75	70	81	48	84	44	51	63	40	66	68	85	18	59	0	22	2	925,000$
20	Alexander Nylander			X		100.00	50	47	86	76	66	73	63	53	40	47	59	50	40	76	75	60	10	57	0	27	1	2,443,760$
21	Francesco Pinelli		X			100.00	57	57	77	75	56	79	69	42	40	36	48	62	40	66	73	85	20	55	0	22	2	925,000$
22	Cole Clayton				X	100.00	65	60	78	75	64	67	62	35	40	38	32	65	40	72	70	70	21	59	0	25	3	900,000$
23	Declan Carlile				X	100.00	53	49	71	75	63	59	54	39	40	35	43	70	40	72	66	70	20	58	0	25	2	950,000$
24	David Spacek				X	100.00	51	46	81	75	56	76	71	44	40	51	37	50	40	66	71	85	20	57	0	22	2	925,000$

	MOYENNE D’ÉQUIPE					100.00	68	51	80	80	63	76	77	57	54	55	58	67	53	79	78	53	25	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	Jake Oettinger	100.00	86	99	99	99	83	81	82	82	84	80	94	76	79	60	24	83	0	27	5	6,178,000$
2	Pyotr Kochetkov	100.00	90	87	95	90	78	76	77	79	75	77	85	74	75	65	22	78	0	26	2	3,400,000$
Rayé
Équipe Mineure
1	Colten Ellis	100.00	89	71	76	84	68	68	61	67	66	66	87	72	70	70	30	69	0	25	1	750,000$
2	Carl Lindbom (R)	100.00	75	64	68	84	61	62	61	58	60	58	99	66	64	85	32	63	0	22	2	750,000$
3	Matthew Murray	100.00	75	72	79	86	72	68	67	70	71	72	99	76	72	60	20	71	0	27	1	900,000$
4	Magnus Chrona	100.00	82	57	60	92	50	50	50	50	50	50	50	72	61	70	20	58	0	25	1	632,500$

	MOYENNE D’ÉQUIPE	100.00	83	75	80	89	69	68	66	68	68	67	86	73	70	68	25	70

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Spencer Carbery	77	91	98	73	79	50	82	CAN	44	4	1,500,000$

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Quinn Hughes	Senators	D	27	3	23	26	-8	6	0	10	55	66	19	41	4.55%	42	666	24.69	2	10	12	37	86	0	110	0	0	0.00%	0	0.78	0	0	0	0	0	2	0	0
2	Josh Norris	Senators	C	27	11	13	24	2	49	5	80	67	100	27	67	11.00%	13	495	18.34	1	7	8	24	82	2	104	3	0	54.22%	651	0.97	0	1	0	0	1	3	0	0
3	Evgeni Malkin	Senators	C	26	9	11	20	2	12	10	9	51	52	19	29	17.31%	9	478	18.39	4	5	9	14	85	0	55	2	0	50.46%	549	0.84	0	2	0	1	1	3	1	1
4	Cam Fowler	Senators	D	28	3	14	17	0	13	5	1	50	48	11	36	6.25%	36	638	22.80	1	4	5	29	89	0	104	0	0	0.00%	0	0.53	0	1	1	0	0	0	1	1
5	Anders Lee	Senators	LW	27	6	10	16	0	17	5	33	21	49	15	38	12.24%	3	412	15.27	3	4	7	18	84	0	16	1	0	41.18%	34	0.78	0	0	1	0	0	0	2	0
6	Patrick Kane	Senators	RW	28	3	13	16	0	0	0	1	47	73	27	42	4.11%	3	486	17.38	1	6	7	25	108	0	14	0	0	28.57%	42	0.66	1	3	0	0	0	0	1	2
7	Ryan Donato	Senators	RW	27	8	7	15	1	8	0	36	30	60	18	63	13.33%	2	405	15.01	1	3	4	16	84	0	0	0	0	35.71%	42	0.74	1	2	0	0	0	1	0	0
8	Tommy Novak	Senators	LW	27	4	7	11	-12	2	0	1	30	44	17	38	9.09%	2	332	12.31	1	3	4	5	38	0	1	0	2	51.27%	158	0.66	0	2	0	0	0	0	0	0
9	Ian Cole	Senators	D	27	2	7	9	-5	64	10	80	18	14	4	8	14.29%	36	480	17.81	0	0	0	0	0	1	91	0	0	0.00%	0	0.37	0	0	1	1	0	1	0	1
10	Morgan Geekie	Senators	LW	18	5	3	8	1	6	0	18	15	57	16	37	8.77%	3	334	18.59	2	1	3	14	56	4	72	0	0	48.00%	100	0.48	1	3	0	0	0	0	1	0
11	Dmitry Kulikov	Senators	D	27	1	7	8	0	32	0	69	23	19	10	7	5.26%	35	472	17.51	0	0	0	0	0	0	98	0	0	0.00%	0	0.34	0	0	0	0	0	0	0	1
12	Oliver Bjorkstrand	Senators	RW	27	5	2	7	-3	4	0	17	34	61	14	34	8.20%	1	363	13.47	3	0	3	20	84	0	0	0	0	27.27%	22	0.38	0	0	0	0	0	0	1	1
13	Jonathan Audy-Marchessault	Senators	RW	27	2	5	7	-6	14	0	7	29	51	21	36	3.92%	1	372	13.79	1	1	2	16	74	0	0	0	0	16.67%	24	0.38	0	0	0	0	0	0	0	0
14	Niko Mikkola	Senators	D	27	2	3	5	-7	61	5	85	20	15	3	4	13.33%	32	478	17.72	1	0	1	1	14	0	50	0	0	0.00%	0	0.21	0	0	0	0	1	0	0	1
15	Colin Blackwell	Senators	C	27	2	2	4	-3	10	0	31	35	15	7	23	13.33%	4	279	10.36	0	0	0	0	2	0	68	1	0	45.70%	337	0.29	0	0	0	0	0	0	1	1
16	Jeff Petry	Senators	D	21	2	2	4	-7	16	0	20	14	9	7	10	22.22%	28	311	14.85	0	0	0	0	3	0	9	1	0	0.00%	0	0.26	0	0	0	0	0	2	0	0
17	Oskar Sundqvist	Senators	RW	18	2	2	4	-10	2	0	1	8	18	9	20	11.11%	2	202	11.26	0	0	0	0	1	0	0	1	0	50.00%	42	0.39	0	0	0	0	0	0	1	1
18	Trent Frederic	Senators	LW	27	1	1	2	-14	45	15	46	12	21	11	11	4.76%	0	303	11.24	0	0	0	0	2	0	0	0	0	68.75%	16	0.13	0	0	0	1	2	0	0	0
19	Drew Helleson	Senators (Ott)	D	6	0	1	1	-3	8	0	16	2	4	4	3	0.00%	5	81	13.63	0	0	0	0	0	0	2	0	0	0.00%	0	0.24	0	0	0	0	0	0	0	0
20	Paul Cotter	Senators	RW	18	1	0	1	-8	14	0	29	11	15	3	10	6.67%	1	202	11.26	0	0	0	0	1	0	1	0	0	31.71%	82	0.10	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				487	72	133	205	-80	383	55	590	572	791	262	557	9.10%	258	7799	16.02	21	44	65	219	900	7	802	9	2	48.69%	2099	0.53	3	14	3	3	5	12	9	10

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	Jake Oettinger	Senators	26	15	10	1	0.888	3.31	1539	2	1	85	761	0.909	11	26	1	2	2	1
2	Pyotr Kochetkov	Senators	9	2	5	1	0.879	3.97	454	0	0	30	247	0.500	6	8	18	0	0	0
Statistiques d’équipe totales ou en moyenne			35	17	15	2	0.886	3.46	1993	2	1	115	1008	0.765	17	34	19	2	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	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	Link
Anders Lee	Senators	LW	35	1990-07-03	No	231 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,200,000$	3,200,000$	2,193,258$	No	UFA					Lien / Lien NHL
Cam Fowler	Senators	D	34	1991-12-05	No	210 Lbs	6 ft2	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	4,112,360$	No	6,000,000$	UFA				Lien / Lien NHL
Colin Blackwell	Senators	C	32	1993-03-28	No	190 Lbs	5 ft8	No	No	Yes	3	Pro & Farm	2,900,000$	2,900,000$	1,987,640$	No	2,900,000$	2,900,000$	UFA			Lien / Lien NHL
Dmitry Kulikov	Senators	D	35	1990-10-29	No	212 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,370,787$	No	UFA					Lien / Lien NHL
Evgeni Malkin	Senators	C	39	1986-07-31	No	210 Lbs	6 ft5	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	4,455,056$	No	6,500,000$	UFA				Lien / Lien NHL
Ian Cole	Senators	D	36	1989-02-21	No	237 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	2,398,876$	No	3,500,000$	UFA				Lien / Lien NHL
Jake Oettinger	Senators	G	27	1998-12-18	No	205 Lbs	6 ft5	No	No	Yes	5	Pro Only	6,178,000$	6,178,000$	4,234,360$	No	6,178,000$	6,178,000$	6,178,000$	6,178,000$	UFA	Lien / Lien NHL
Jeff Petry	Senators	D	38	1987-12-09	No	208 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	2,741,573$	No	UFA					Lien / Lien NHL
Jonathan Audy-Marchessault	Senators	RW	35	1990-12-27	No	185 Lbs	5 ft9	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	4,455,056$	No	UFA					Lien / Lien NHL
Josh Norris	Senators	C	26	1999-05-05	No	196 Lbs	6 ft2	No	No	Yes	5	Pro Only	7,000,000$	7,000,000$	4,797,753$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Lien / Lien NHL
Morgan Geekie	Senators	LW	27	1998-07-20	No	208 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	1,713,483$	No	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Niko Mikkola	Senators	D	29	1996-04-27	No	204 Lbs	6 ft6	No	No	Yes	5	Pro & Farm	3,500,000$	3,500,000$	2,398,876$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	UFA	Lien / Lien NHL
Oliver Bjorkstrand	Senators	RW	30	1995-04-10	No	175 Lbs	6 ft0	No	No	Yes	1	Pro Only	5,700,000$	5,700,000$	3,906,742$	No	UFA					Lien / Lien NHL
Oskar Sundqvist	Senators	RW	31	1994-03-23	No	220 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,370,787$	No	UFA					Lien / Lien NHL
Patrick Kane	Senators	RW	37	1988-11-19	No	177 Lbs	5 ft10	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	4,455,056$	No	6,500,000$	UFA				Lien / Lien NHL
Paul Cotter	Senators	RW	26	1999-11-16	No	213 Lbs	6 ft2	No	No	Yes	4	Pro & Farm	2,500,000$	2,500,000$	1,713,483$	No	2,500,000$	2,500,000$	2,500,000$	UFA		Lien / Lien NHL
Pyotr Kochetkov	Senators	G	26	1999-06-25	No	176 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,400,000$	3,400,000$	2,330,337$	No	3,400,000$	UFA				Lien / Lien NHL
Quinn Hughes	Senators	D	26	1999-10-14	No	180 Lbs	5 ft10	Yes	No	Yes	3	Pro Only	1$	1$	1$	No	10,000,000$	10,000,000$	UFA			Lien / Lien NHL
Ryan Donato	Senators	RW	29	1996-04-09	No	190 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	2,300,000$	2,300,000$	1,576,404$	No	UFA					Lien / Lien NHL
Tommy Novak	Senators	LW	28	1997-04-28	No	179 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	2,056,180$	No	3,000,000$	UFA				Lien / Lien NHL
Trent Frederic	Senators	LW	27	1998-02-11	No	221 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	2,056,180$	No	3,000,000$	UFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	31.10	201 Lbs	6 ft1	2.33	3,913,238$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,178,001$	66,478,000$	34,578,000$	19,178,000$	16,678,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Morgan Geekie	Evgeni Malkin	Ryan Donato	25	1	0	4
2	Anders Lee	Josh Norris	Patrick Kane	25	1	0	4
3	Tommy Novak	Colin Blackwell	Jonathan Audy-Marchessault	25	1	1	3
4	Trent Frederic	Oskar Sundqvist	Oliver Bjorkstrand	25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	30	1	2	2
2	Cam Fowler	Niko Mikkola	30	1	2	2
3	Dmitry Kulikov	Jeff Petry	25	1	2	2
4	Quinn Hughes	Ian Cole	15	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Morgan Geekie	Evgeni Malkin	Ryan Donato	50	1	0	4
2	Anders Lee	Josh Norris	Patrick Kane	50	1	0	4

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Tommy Novak	50	1	1	3
2	Cam Fowler	Oliver Bjorkstrand	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Evgeni Malkin	Morgan Geekie	50	1	4	0
2	Josh Norris	Anders Lee	50	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	2	3	0
2	Cam Fowler	Dmitry Kulikov	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Evgeni Malkin	50	1	4	0	Quinn Hughes	Ian Cole	50	1	4	0
2	Josh Norris	50	1	4	0	Cam Fowler	Dmitry Kulikov	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Evgeni Malkin	Morgan Geekie	50	1	2	2
2	Josh Norris	Anders Lee	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	1	2	2
2	Cam Fowler	Niko Mikkola	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Morgan Geekie	Evgeni Malkin	Ryan Donato	Quinn Hughes	Ian Cole

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Morgan Geekie	Evgeni Malkin	Ryan Donato	Quinn Hughes	Ian Cole

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Patrick Kane, Anders Lee, Jonathan Audy-Marchessault	Patrick Kane, Anders Lee	Patrick Kane

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Niko Mikkola, Dmitry Kulikov, Jeff Petry	Niko Mikkola	Niko Mikkola, Dmitry Kulikov

Tirs de pénalité
Ryan Donato, Morgan Geekie, Evgeni Malkin, Josh Norris, Patrick Kane

Gardien
#1 : Jake Oettinger, #2 : Pyotr Kochetkov

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	Blackhawks	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	9	15	0	0	3	3	0	0	43	10	18	15	0	20	11	15	32	5	2	40.00%	3	0	100.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	24	16	22	7	13	7
2	BlueJackets	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	0	2	1	0	40	14	12	14	0	93	19	28	38	4	1	25.00%	14	3	78.57%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	42	28	52	15	24	11
3	Blues	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	1	1	1	0	14	2	3	9	0	27	7	10	22	2	1	50.00%	5	1	80.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	23	15	23	7	13	6
4	Bruins	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	5	8	0	0	0	0	3	0	35	19	6	10	0	40	7	8	25	5	2	40.00%	3	1	66.67%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	20	13	27	7	12	5
5	Canucks	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	0	0	0	0	25	7	10	8	0	45	14	8	20	3	0	0.00%	4	1	75.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	20	12	27	7	12	5
6	Capitals	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	0	0	1	0	25	9	12	4	0	35	7	23	26	3	0	0.00%	9	5	44.44%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	24	16	21	7	13	6
7	Devils	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	5	8	0	0	1	1	1	2	38	13	12	11	8	36	10	12	23	6	0	0.00%	6	1	83.33%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	26	18	26	7	12	5
8	Flames	2	1	0	0	1	0	0	0	11	7	4	1	1	0	0	0	0	0	0	7	4	3	1	0	0	0	1	0	0	0	4	3	1	4	1.000	11	20	31	0	0	7	2	1	1	89	28	31	29	1	58	14	30	43	12	4	33.33%	14	2	85.71%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	50	35	44	13	24	13
9	Flyers	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	9	15	0	0	2	1	3	0	31	10	8	13	0	29	8	14	18	4	2	50.00%	7	1	85.71%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	22	13	24	7	13	6
10	Hurricanes	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	1	1	0	19	6	10	3	0	35	15	12	21	4	0	0.00%	5	1	80.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	17	10	29	7	13	6
11	Islanders	2	0	1	0	1	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	9	14	0	0	1	2	1	1	80	17	28	34	1	58	16	44	33	9	1	11.11%	9	2	77.78%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	48	33	48	15	26	13
12	Jets	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	0	1	2	0	19	4	6	9	0	23	6	16	20	3	1	33.33%	8	2	75.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	16	9	30	8	12	5
13	Lightning	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	0	0	0	2	2	0	70	15	30	25	0	79	29	32	51	8	1	12.50%	14	3	78.57%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	47	32	48	14	24	11
14	MapleLeafs	2	0	0	0	0	2	0	0	5	7	-2	2	0	0	0	0	2	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	8	13	0	0	2	2	1	0	81	33	20	28	0	62	21	19	50	10	2	20.00%	7	2	71.43%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	48	34	47	14	25	11
15	Oilers	2	1	0	0	0	0	0	1	4	3	1	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	4	8	12	0	0	1	2	1	0	55	16	20	18	4	46	22	48	33	9	1	11.11%	9	0	100.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	54	38	45	14	25	13
16	Panthers	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	4	8	12	1	0	1	3	0	0	46	17	22	7	0	77	17	22	46	6	2	33.33%	11	3	72.73%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	43	30	51	14	24	12
17	Rangers	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	0	2	3	0	17	3	9	5	0	36	10	13	27	2	0	0.00%	4	0	100.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	20	14	26	7	12	5
18	RedWings	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	0	1	1	1	17	7	4	4	7	36	13	8	16	4	2	50.00%	4	1	75.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	24	16	26	8	14	7
19	Sabres	2	0	1	0	1	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	5	10	15	0	0	3	0	1	1	55	17	22	15	1	51	18	18	44	11	2	18.18%	9	2	77.78%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	43	29	53	15	26	12
	Total	27	6	13	0	3	2	1	2	77	102	-25	12	2	5	0	2	2	0	1	36	45	-9	15	4	8	0	1	0	1	1	41	57	-16	24	0.444	77	133	210	1	0	23	26	24	6	799	247	283	261	22	886	264	380	588	110	24	21.82%	145	31	78.62%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	618	421	676	202	347	170
	_Since Last GM Reset	27	6	13	0	3	2	1	2	77	102	-25	12	2	5	0	2	2	0	1	36	45	-9	15	4	8	0	1	0	1	1	41	57	-16	24	0.444	77	133	210	1	0	23	26	24	6	799	247	283	261	22	886	264	380	588	110	24	21.82%	145	31	78.62%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	618	421	676	202	347	170
	_Vs Conference	19	2	11	0	2	2	1	1	50	78	-28	9	0	5	0	2	2	0	0	25	37	-12	10	2	6	0	0	0	1	1	25	41	-16	13	0.342	50	85	135	1	0	11	17	19	5	554	180	195	173	17	667	190	253	418	76	15	19.74%	102	25	75.49%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	429	292	483	143	244	118
	_Vs Division	10	0	6	0	1	2	1	0	24	42	-18	5	0	2	0	1	2	0	0	15	21	-6	5	0	4	0	0	0	1	0	9	21	-12	6	0.300	24	43	67	1	0	6	8	8	2	304	108	104	89	8	345	105	107	232	44	11	25.00%	48	12	75.00%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	227	156	253	74	128	61

			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
27	24	L1	77	133	210	799	886	264	380	588	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	6	13	3	2	1	2	77	102

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	2	5	2	2	0	1	36	45

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	4	8	1	0	1	1	41	57

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	5	0	0	1	2

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
110	24	21.82%	145	31	78.62%	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
247	283	261	22	23	26	24	6

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
467	921	50.71%	523	1031	50.73%	244	459	53.16%

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
618	421	676	202	347	170

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
1	10	BlueJackets	3	Senators	2	BL			Sommaire du match
3	19	Senators	0	Sabres	3	AL			Sommaire du match
4	33	Senators	5	Rangers	4	AW			Sommaire du match
6	49	Lightning	5	Senators	2	BL			Sommaire du match
8	65	MapleLeafs	2	Senators	1	BL	X		Sommaire du match
10	80	Panthers	5	Senators	3	BL			Sommaire du match
12	92	Sabres	4	Senators	5	BW	X		Sommaire du match
15	112	Senators	3	Oilers	1	AW			Sommaire du match
17	126	Senators	4	Flames	3	AW	X		Sommaire du match
18	139	Senators	0	Canucks	3	AL			Sommaire du match
22	169	MapleLeafs	5	Senators	4	BL	X		Sommaire du match
24	186	Blues	2	Senators	3	BW			Sommaire du match
27	206	Senators	6	Flyers	2	AW			Sommaire du match
29	214	Senators	3	Bruins	6	AL			Sommaire du match
31	236	Islanders	3	Senators	4	BW	X		Sommaire du match
33	251	Senators	1	Islanders	4	AL			Sommaire du match
35	258	Senators	1	Panthers	6	AL			Sommaire du match
36	272	Senators	2	Lightning	4	AL			Sommaire du match
38	287	Oilers	2	Senators	1	BL	X	X	Sommaire du match
40	304	Senators	1	Capitals	6	AL			Sommaire du match
42	315	Flames	4	Senators	7	BW			Sommaire du match
44	331	BlueJackets	5	Senators	1	BL			Sommaire du match
45	337	Senators	3	Devils	4	AL	X	X	Sommaire du match
48	359	Senators	6	Blackhawks	4	AW			Sommaire du match
50	380	Senators	3	Jets	5	AL			Sommaire du match
52	388	Senators	3	RedWings	2	AW	X	X	Sommaire du match
54	405	Hurricanes	5	Senators	3	BL			Sommaire du match
57	428	Jets	-	Senators	-
59	446	Ducks	-	Senators	-
60	451	Senators	-	MapleLeafs	-
64	479	RedWings	-	Senators	-
65	490	Senators	-	Penguins	-
71	511	Mammoth	-	Senators	-
74	530	Senators	-	Blues	-
75	534	Senators	-	Hurricanes	-
77	549	Avalanche	-	Senators	-
81	583	Senators	-	Sharks	-
83	593	Senators	-	Kings	-
84	602	Senators	-	Ducks	-
87	624	Hurricanes	-	Senators	-
88	632	Wild	-	Senators	-
91	657	Canucks	-	Senators	-
93	664	Senators	-	BlueJackets	-
95	685	Capitals	-	Senators	-
96	692	Senators	-	Islanders	-
99	722	Capitals	-	Senators	-
100	729	Senators	-	Devils	-
104	759	Predators	-	Senators	-
106	772	Senators	-	Canadiens	-
107	780	Senators	-	RedWings	-
110	804	Senators	-	Predators	-
112	815	Bruins	-	Senators	-
113	827	Penguins	-	Senators	-
115	837	Canadiens	-	Senators	-
117	852	Senators	-	Canadiens	-
120	875	Sharks	-	Senators	-
122	887	Rangers	-	Senators	-
124	902	Senators	-	Flyers	-
125	909	Senators	-	Rangers	-
128	932	Senators	-	Stars	-
129	948	Senators	-	Wild	-
131	960	Panthers	-	Senators	-
133	977	Penguins	-	Senators	-
135	992	RedWings	-	Senators	-
139	1015	Senators	-	Panthers	-
140	1030	Senators	-	Lightning	-
142	1043	GoldenKnights	-	Senators	-
144	1053	Devils	-	Senators	-
146	1065	Lightning	-	Senators	-
147	1066	Senators	-	Sabres	-
149	1089	Sabres	-	Senators	-
151	1096	Senators	-	Mammoth	-
153	1112	Senators	-	GoldenKnights	-
155	1126	Senators	-	Avalanche	-
158	1150	Bruins	-	Senators	-
161	1164	Canadiens	-	Senators	-
166	1197	Stars	-	Senators	-
168	1212	Kings	-	Senators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
170	1229	Flyers	-	Senators	-
172	1238	Senators	-	Bruins	-
174	1255	Senators	-	MapleLeafs	-
176	1264	Blackhawks	-	Senators	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Morgan Geekie

AGE:27
SK:		85
EN:		83
DU:		96
PH:		75
PA:		66
SC:		85
DF:		73
Anders Lee

AGE:35
SK:		82
EN:		83
DU:		99
PH:		72
PA:		65
SC:		79
DF:		67
Trent Frederic

AGE:27
SK:		75
EN:		77
DU:		83
PH:		56
PA:		50
SC:		61
DF:		65
Tommy Novak

AGE:28
SK:		82
EN:		77
DU:		80
PH:		62
PA:		54
SC:		70
DF:		69
Tanner Laczynski

AGE:28
SK:		81
EN:		60
DU:		50
PH:		62
PA:		64
SC:		60
DF:		65
Tomas Nosek

AGE:33
SK:		75
EN:		71
DU:		83
PH:		51
PA:		51
SC:		51
DF:		70
Joona Koppanen

AGE:27
SK:		75
EN:		77
DU:		51
PH:		49
PA:		40
SC:		57
DF:		63
Brian Halonen

AGE:26
SK:		76
EN:		71
DU:		61
PH:		51
PA:		37
SC:		66
DF:		70
Braeden Bowman (R)

AGE:22
SK:		83
EN:		77
DU:		67
PH:		47
PA:		47
SC:		47
DF:		55
Francesco Pinelli

AGE:22
SK:		75
EN:		79
DU:		69
PH:		42
PA:		36
SC:		48
DF:		62

Josh Norris

AGE:26
SK:		85
EN:		85
DU:		81
PH:		71
PA:		61
SC:		81
DF:		86
Evgeni Malkin

AGE:39
SK:		84
EN:		84
DU:		89
PH:		75
PA:		81
SC:		69
DF:		69
Colin Blackwell

AGE:32
SK:		81
EN:		74
DU:		86
PH:		56
PA:		54
SC:		58
DF:		80
Nikita Nesterenko

AGE:24
SK:		78
EN:		72
DU:		57
PH:		57
PA:		48
SC:		66
DF:		62
Vincent Hinostroza

AGE:31
SK:		81
EN:		77
DU:		69
PH:		56
PA:		51
SC:		61
DF:		66
Cole Guttman

AGE:26
SK:		82
EN:		79
DU:		69
PH:		58
PA:		60
SC:		57
DF:		50
Jake Lucchini

AGE:30
SK:		77
EN:		79
DU:		69
PH:		51
PA:		48
SC:		55
DF:		67
Sam Morton (R)

AGE:26
SK:		88
EN:		79
DU:		69
PH:		51
PA:		49
SC:		53
DF:		51
Noah Philp (R)

AGE:27
SK:		75
EN:		70
DU:		53
PH:		50
PA:		51
SC:		50
DF:		65

Ryan Donato

AGE:29
SK:		90
EN:		82
DU:		98
PH:		77
PA:		72
SC:		82
DF:		67
Patrick Kane

AGE:37
SK:		93
EN:		84
DU:		92
PH:		79
PA:		83
SC:		74
DF:		60
Jonathan Audy-Marchessault

AGE:35
SK:		90
EN:		84
DU:		96
PH:		74
PA:		77
SC:		72
DF:		58
Oliver Bjorkstrand

AGE:30
SK:		87
EN:		80
DU:		97
PH:		69
PA:		66
SC:		72
DF:		69
Oskar Sundqvist

AGE:31
SK:		76
EN:		77
DU:		89
PH:		57
PA:		57
SC:		57
DF:		72
Paul Cotter

AGE:26
SK:		76
EN:		77
DU:		97
PH:		56
PA:		46
SC:		67
DF:		64
Gage Goncalves

AGE:24
SK:		80
EN:		76
DU:		84
PH:		59
PA:		56
SC:		61
DF:		65
Carl Grundstrom

AGE:28
SK:		77
EN:		71
DU:		81
PH:		52
PA:		49
SC:		54
DF:		63
Zack Ostapchuk

AGE:22
SK:		75
EN:		70
DU:		81
PH:		48
PA:		44
SC:		51
DF:		63
Alexander Nylander

AGE:27
SK:		76
EN:		73
DU:		63
PH:		53
PA:		47
SC:		59
DF:		50

Défense #1

Défense #2

Gardien

Quinn Hughes

AGE:26
SK:		99
EN:		92
DU:		89
PH:		96
PA:		99
SC:		79
DF:		78
Ian Cole

AGE:36
SK:		75
EN:		84
DU:		99
PH:		54
PA:		56
SC:		52
DF:		87
Cam Fowler

AGE:34
SK:		84
EN:		86
DU:		89
PH:		72
PA:		77
SC:		66
DF:		77
Niko Mikkola

AGE:29
SK:		75
EN:		84
DU:		95
PH:		58
PA:		57
SC:		60
DF:		73
Dmitry Kulikov

AGE:35
SK:		76
EN:		82
DU:		91
PH:		54
PA:		51
SC:		57
DF:		80
Jeff Petry

AGE:38
SK:		75
EN:		81
DU:		73
PH:		53
PA:		53
SC:		53
DF:		76
Drew Helleson

AGE:24
SK:		76
EN:		77
DU:		81
PH:		56
PA:		53
SC:		59
DF:		76

Nikita Novikov

AGE:22
SK:		75
EN:		72
DU:		67
PH:		39
PA:		37
SC:		41
DF:		70
Noel Hoefenmayer

AGE:26
SK:		75
EN:		55
DU:		50
PH:		47
PA:		51
SC:		44
DF:		67
Matt Kiersted

AGE:27
SK:		75
EN:		68
DU:		63
PH:		44
PA:		56
SC:		32
DF:		70
Joe Hicketts

AGE:29
SK:		75
EN:		66
DU:		61
PH:		44
PA:		52
SC:		36
DF:		68
Cole Clayton

AGE:25
SK:		75
EN:		67
DU:		62
PH:		35
PA:		38
SC:		32
DF:		65
Declan Carlile

AGE:25
SK:		75
EN:		59
DU:		54
PH:		39
PA:		35
SC:		43
DF:		70
David Spacek

AGE:22
SK:		75
EN:		76
DU:		71
PH:		44
PA:		51
SC:		37
DF:		50

Jake Oettinger

AGE:27
SK:		86
AG:		83
RB:		81
SC:		82
HS:		82
RT:		84
DF:		80
Pyotr Kochetkov

AGE:26
SK:		90
AG:		78
RB:		76
SC:		77
HS:		79
RT:		75
DF:		77
Matthew Murray

AGE:27
SK:		75
AG:		72
RB:		68
SC:		67
HS:		70
RT:		71
DF:		72
Colten Ellis

AGE:25
SK:		89
AG:		68
RB:		68
SC:		61
HS:		67
RT:		66
DF:		66
Carl Lindbom (R)

AGE:22
SK:		75
AG:		61
RB:		62
SC:		61
HS:		58
RT:		60
DF:		58
Magnus Chrona

AGE:25
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 McKinney	Senators	2039	45
Dalyn Wakely	Senators	2038	134
Filip Westerlund	Senators	2031	75
Jack Adams	Senators	2031	122
Jaden Lipinski	Senators	2037	144
Jakub Milota	Senators	2038	109
James Clark	Senators	2037	175
Jeremy Hanzel	Senators	2037	149
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
2041
2042

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	Pyotr Kochetkov	120	67	43	2	0.892	3.27	6860	23	3	374	3460	0	5	2	0.833	30
5	Peter Budaj	80	44	29	7	0.896	2.93	4797	0	4	234	2247	0	4	1	0.722	36

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	82	39	28	0	8	1	6	0	337	262	75	41	18	16	0	5	0	2	0	168	132	36	41	21	12	0	3	1	4	0	169	130	39	107	337	577	914	2	3	114	113	96	17	3073	992	989	1053	56	2511	782	987	1842	424	93	21.93%	412	81	80.34%	3	1741	3330	52.28%	1551	2902	53.45%	754	1371	55.00%	2015	1391	1927	613	1031	523
2039	27	6	13	0	3	2	1	2	77	102	-25	12	2	5	0	2	2	0	1	36	45	-9	15	4	8	0	1	0	1	1	41	57	-16	24	77	133	210	1	0	23	26	24	6	799	247	283	261	22	886	264	380	588	110	24	21.82%	145	31	78.62%	0	467	921	50.71%	523	1031	50.73%	244	459	53.16%	618	421	676	202	347	170
Total Saison régulière	1667	599	799	0	54	49	88	78	5113	5601	-488	832	314	377	0	29	28	42	42	2611	2727	-116	835	285	422	0	25	21	46	36	2502	2874	-372	1516	5113	8793	13906	31	50	251	1704	1655	1391	50888	2074	16235	17040	15190	53972	16304	21788	38678	7573	1477	19.50%	8326	1780	78.62%	97	26545	56093	47.32%	26226	59048	44.41%	12411	26501	46.83%	37919	24823	40210	13335	23115	11431
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
2038	6	2	4	0	0	0	0	0	21	26	-5	3	1	2	0	0	0	0	0	10	13	-3	3	1	2	0	0	0	0	0	11	13	-2	4	21	38	59	0	0	10	6	4	1	205	77	72	50	6	191	58	77	126	31	7	22.58%	32	7	78.13%	1	108	222	48.65%	126	226	55.75%	55	103	53.40%	145	100	144	46	74	37
Total Séries éliminatoires	64	33	31	0	0	0	0	0	184	192	-8	30	17	13	0	0	0	0	0	77	76	1	34	16	18	0	0	0	0	0	107	116	-9	66	184	321	505	1	2	10	54	63	50	1875	77	570	667	499	2018	629	740	1450	303	61	20.13%	275	59	78.55%	3	1023	2119	48.28%	959	2244	42.74%	452	981	46.08%	1438	922	1556	524	938	468

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	SO	GA	SA	SAR	A	EG
1	Jaroslav Halak	17	10	7	0	0.923	2.04	1031	2	35	455	181	1	1
2	Petr Mrazek	16	9	5	2	0.903	3.07	958	0	49	505	0	1	0
3	Ville Husso	11	7	3	1	0.916	2.70	688	0	31	371	0	1	0
4	Mike Smith	7	3	4	0	0.903	3.68	391	0	24	248	0	0	0
5	Pyotr Kochetkov	6	2	4	0	0.857	4.32	333	0	24	168	0	0	0