Canadian Hockey League

Senators
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Stats Équipe
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Centre de jeu
	Senators 8-2-3, 19pts	2	FINAL	3	Sabres 8-4-1, 17pts

Team Stats
SOW1	Streak	OTL1
4-2-0	Home Record	4-2-1
4-0-3	Away Record	4-2-0
8-1-1	Last 10 Games	6-3-1
4.31	Goals Per Game	3.54
3.31	Goals Against Per Game	3.00
23.64%	Power Play Percentage	19.35%
82.05%	Penalty Kill Percentage	86.00%

Senators
8-2-3, 19pts

FINAL

RedWings
10-2-1, 21pts

Team Stats
SOW1	Streak	SOL1
4-2-0	Home Record	5-1-1
4-0-3	Away Record	5-1-0
8-1-1	Last 10 Games	7-2-1
4.31	Goals Per Game	3.62
3.31	Goals Against Per Game	2.38
23.64%	Power Play Percentage	25.00%
82.05%	Penalty Kill Percentage	94.12%

RedWings
10-2-1, 21pts

Jour 29

Senators
8-2-3, 19pts

Stats Équipe
SOL1	Séquence	SOW1
5-1-1	Fiche domicile	4-2-0
5-1-0	Fiche visiteur	4-0-3
7-2-1	10 derniers matchs	8-1-1
3.62	Buts par match	4.31
2.38	Buts contre par match	3.31
25.00%	Pourcentage en avantage numérique	23.64%
94.12%	Pourcentage en désavantage numérique	82.05%

Senators
8-2-3, 19pts

Jour 31

Panthers
7-7-0, 14pts

Stats Équipe
SOW1	Séquence	W1
4-2-0	Fiche domicile	3-3-0
4-0-3	Fiche visiteur	4-4-0
8-1-1	10 derniers matchs	6-4-0
4.31	Buts par match	3.07
3.31	Buts contre par match	3.43
23.64%	Pourcentage en avantage numérique	18.57%
82.05%	Pourcentage en désavantage numérique	81.33%

Senators
8-2-3, 19pts

Jour 32

Flyers
9-4-0, 18pts

Stats Équipe
SOW1	Séquence	OTW1
4-2-0	Fiche domicile	4-2-0
4-0-3	Fiche visiteur	5-2-0
8-1-1	10 derniers matchs	6-4-0
4.31	Buts par match	3.85
3.31	Buts contre par match	2.46
23.64%	Pourcentage en avantage numérique	22.39%
82.05%	Pourcentage en désavantage numérique	89.66%

Meneurs d'équipe
	Buts Morgan Geekie 10	Passes Josh Norris 12

	Points Josh Norris 20	Plus/Moins Morgan Geekie 11

	Victoires Jake Oettinger 8	Pourcentage d’arrêts Jake Oettinger 0.905

Stats Équipe
Buts pour 56 4.31 GFG	Tirs pour 400 30.77 Avg	Pourcentage en avantage numérique 23.6% 13 GF	Début de zone offensive 39.2%
Buts contre 43 3.31 GAA	Tirs contre 421 32.38 Avg	Pourcentage en désavantage numérique 82.1% 14 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	Vincent Trocheck
	Assistant #1	Josh Norris
	Assistant #2	Drew Helleson
Uniformes

Informations de l’aréna
	Nom	GFS Center
	Capacité	25,000
	Assistance	15,878
	Billets de saison	10,000
Information formation
	Équipe Pro	20
	Équipe Mineure	26
	Limite contact	46 / 50
	Espoirs	22
Plafond salarial
	Cap Salarial de la Saison estimé	77,868,488$
	Plafond salarial disponible	12,131,512$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	11,416,823$
	Dépenses annuelles à ce jour	12,338,110$
	Revenus de la saison estimés	68,500,938$
	Dépenses de la saison estimées	67,030,328$
	Compte bancaire actuel	131,715,321$
	Compte bancaire projeté	130,448,479$
Historique d'équipe
	Saison actuelle	8-2-3 (19PTS)
	Historique	777-822-142 (0.446%)
	Apparitions séries éliminatoires	6
	Historique séries éliminatoires (W-L)	33-31
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Evgeni Malkin			X		100.00	50	60	68	91	78	84	81	90	80	99	78	65	74	99	92	0	33	79	0	40	1	6,500,000$
2	Vincent Trocheck (C)	X				100.00	99	44	71	91	53	89	89	77	92	85	70	80	80	90	90	25	33	77	0	33	5	1$
3	Morgan Geekie	X				100.00	72	54	85	87	73	84	98	79	81	69	89	63	40	80	82	50	33	75	0	28	2	2,500,000$
4	Patrick Kane			X		100.00	47	40	85	93	45	84	89	80	40	90	70	65	81	99	92	0	33	74	0	38	1	6,500,000$
5	Josh Norris (A)	X				100.00	53	49	77	88	63	81	73	77	85	79	74	73	86	78	80	55	33	73	0	27	4	7,000,000$
6	Brayden Schenn			X		100.00	93	64	73	82	63	82	98	65	89	62	68	63	68	94	88	15	33	70	0	35	3	4,500,000$
7	Connor Dewar	X				100.00	83	46	85	83	51	78	96	61	82	57	65	87	40	78	78	55	33	69	0	27	1	2,000,000$
8	Tommy Novak		X			100.00	43	47	84	84	58	79	99	66	78	66	66	69	65	82	81	45	33	68	0	29	1	3,000,000$
9	Anthony Beauvillier			X		100.00	67	43	83	82	50	81	99	59	86	53	65	75	71	82	82	45	33	67	0	29	3	2,500,000$
10	Gage Goncalves		X			100.00	67	49	79	82	58	77	94	63	40	64	62	70	97	74	76	65	33	67	0	25	2	1,000,000$
11	Alex Belzile		X			100.00	60	54	67	82	64	75	65	64	40	61	66	70	73	94	85	15	33	66	0	35	1	1,000,000$
12	Oliver Bjorkstrand		X			100.00	65	42	86	83	49	77	98	61	40	61	62	62	65	86	82	35	33	66	0	31	3	6,000,000$
13	Parker Wotherspoon				X	100.00	87	49	76	81	58	84	98	61	40	68	55	82	40	82	83	45	33	74	0	29	4	5,000,000$
14	Ian Cole				X	100.00	61	64	78	76	82	80	99	57	40	60	55	80	40	98	89	5	33	72	0	37	1	3,500,000$
15	Michael Anderson				X	100.00	73	47	85	79	59	84	98	56	40	56	56	80	40	78	81	55	33	71	0	27	1	3,500,000$
16	Cam Fowler				X	100.00	43	54	87	79	72	85	99	61	40	66	56	72	73	94	90	15	33	70	0	35	1	6,000,000$
17	Niko Mikkola				X	100.00	80	58	76	75	75	84	89	53	40	50	55	77	40	84	84	40	32	70	0	30	4	3,500,000$
18	Drew Helleson (A)				X	100.00	65	53	83	76	71	78	84	56	40	58	54	78	40	74	76	65	30	69	0	25	3	2,700,000$
Rayé
Équipe Mineure
1	Tanner Laczynski	X				100.00	45	52	82	82	69	72	50	66	84	81	50	71	40	82	77	45	27	65	0	29	1	975,000$
2	Braeden Bowman		X			100.00	48	51	86	82	66	78	80	65	40	67	62	64	40	70	74	75	23	65	0	23	2	1,500,000$
3	Colin Blackwell	X				100.00	77	40	79	80	44	74	91	54	78	53	55	76	40	90	82	25	15	64	0	33	2	2,900,000$
4	Nikita Nesterenko	X				100.00	83	51	84	78	67	75	63	58	40	63	53	65	40	74	75	65	19	63	0	25	1	825,000$
5	Alexander Nylander			X		100.00	50	47	86	79	62	74	64	58	40	57	60	65	73	80	77	50	15	62	0	28	1	2,800,000$
6	Trent Frederic	X				100.00	99	68	74	75	78	73	94	49	92	43	54	61	40	80	77	50	13	62	0	28	1	3,000,000$
7	Zack Ostapchuk	X				100.00	96	65	75	75	75	72	83	50	87	44	56	71	40	70	71	75	23	62	0	23	1	925,000$
8	Liam Foudy		X			100.00	54	49	85	79	57	69	59	57	40	49	66	70	40	76	73	60	23	61	0	26	2	775,000$
9	Ville Koivunen			X		100.00	43	44	85	78	53	76	70	52	40	51	54	67	40	70	73	75	23	59	0	23	3	1,000,000$
10	Lucas Mercuri (R)	X				100.00	71	64	51	80	78	76	66	41	70	35	47	70	40	72	74	70	25	58	0	24	2	750,000$
11	Kasper Halttunen (R)		X			100.00	59	47	77	82	70	78	68	46	40	43	49	54	99	64	71	90	23	57	0	20	3	925,000$
12	Elias Petterssonn				X	100.00	86	50	79	76	58	74	91	52	40	48	55	72	40	68	71	80	26	66	0	22	2	925,000$
13	Declan Carlile				X	100.00	68	58	71	75	62	74	72	48	40	44	53	70	40	76	75	60	24	63	0	26	1	950,000$
14	Nikita Novikov				X	100.00	62	50	74	75	72	68	63	40	40	38	42	70	40	70	69	75	23	61	0	23	1	925,000$
15	Zayne Parekh (R)				X	100.00	49	43	86	80	51	78	68	57	40	51	63	61	40	64	71	90	23	61	0	20	3	925,000$
16	Viliam Kmec (R)				X	100.00	56	43	82	82	68	69	64	36	40	35	38	70	40	68	69	80	23	60	0	22	3	750,000$
17	David Spacek				X	100.00	51	46	85	77	56	63	58	52	40	60	45	59	40	70	67	75	23	59	0	23	1	925,000$
18	Cole Guttman	X				100.00	50	45	74	82	47	76	66	57	40	55	59	62	90	78	77	55	19	61	0	27	1	907,500$
19	Jacob Gaucher (R)		X			100.00	65	52	77	75	82	78	68	46	40	39	54	61	40	74	76	65	19	58	0	25	2	700,000$
20	Francesco Pinelli		X			100.00	57	57	75	75	56	74	64	47	40	46	48	70	40	70	72	75	19	57	0	23	1	925,000$
21	David Gucciardi (R)				X	100.00	61	51	69	82	71	56	51	36	40	36	37	63	40	72	64	70	17	58	0	24	2	750,000$
22	Tyrel Bauer				X	100.00	55	70	48	75	77	56	51	29	40	26	32	70	40	72	64	70	20	57	0	24	2	750,000$
23	Bryce Montgomery (R)				X	100.00	78	71	43	76	84	55	50	32	40	34	30	59	40	72	64	70	20	57	0	24	3	750,000$

	MOYENNE D’ÉQUIPE					100.00	65	52	77	80	64	76	78	56	54	56	57	69	53	79	77	53	26	65

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jake Oettinger	98.00	88	96	99	99	89	87	88	88	90	86	92	80	84	50	36	87	0	28	4	6,178,000$
2	Casey DeSmith	100.00	86	67	69	84	87	88	89	90	90	84	81	94	91	15	36	84	0	35	4	5,000,000$
Rayé
Équipe Mineure
1	Colten Ellis	100.00	89	50	60	86	84	84	77	83	82	82	58	76	80	60	23	77	0	26	3	1,700,000$
2	Matthew Villalta	100.00	80	60	63	82	50	50	50	50	50	50	50	78	64	55	26	58	0	27	3	750,000$
3	Isak Posch (R)	100.00	70	54	60	93	50	50	50	50	50	50	40	72	61	70	20	57	0	24	3	750,000$

	MOYENNE D’ÉQUIPE	99.60	83	65	70	89	72	72	71	72	72	70	64	80	76	50	28	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Spencer Carbery	81	92	85	77	80	80	80	CAN	45	3	1,500,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Josh Norris	Senators	C	13	8	12	20	9	6	0	3	27	49	13	41	16.33%	3	256	19.72	1	2	3	12	37	1	0	1	1	65	1	1	54.37%	252	0	0	1.56	0	3	0	3	1	1
2	Morgan Geekie	Senators	C	13	10	8	18	11	6	0	13	14	43	12	33	23.26%	2	186	14.35	3	1	4	12	41	0	0	0	0	3	1	1	50.00%	54	0	0	1.93	0	0	0	3	1	2
3	Evgeni Malkin	Senators	RW	13	8	6	14	6	0	0	2	19	29	4	15	27.59%	0	192	14.78	0	4	4	4	46	0	0	0	0	1	0	1	42.86%	14	1	1	1.46	0	0	0	1	0	1
4	Vincent Trocheck	Senators	C	13	3	8	11	5	12	0	39	39	22	10	27	13.64%	1	251	19.32	1	4	5	5	46	0	1	1	1	59	0	0	54.79%	334	0	0	0.88	0	0	0	1	0	0
5	Patrick Kane	Senators	RW	13	1	9	10	3	0	0	0	13	15	12	21	6.67%	2	190	14.67	1	6	7	4	46	0	0	0	0	0	0	0	45.45%	22	0	0	1.05	2	3	0	0	1	0
6	Tommy Novak	Senators	LW	13	3	6	9	-1	0	0	0	14	40	10	12	7.50%	2	177	13.63	0	4	4	12	41	0	0	0	0	0	0	1	46.15%	13	0	0	1.02	0	0	0	0	0	0
7	Brayden Schenn	Senators	RW	13	4	5	9	10	14	0	31	4	22	3	13	18.18%	1	184	14.16	3	0	3	7	43	0	0	0	0	0	1	0	66.67%	6	0	0	0.98	0	0	0	0	1	2
8	Cam Fowler	Senators	D	13	3	5	8	7	2	0	3	10	14	8	9	21.43%	13	260	20.07	3	0	3	6	45	0	0	0	0	11	0	0	0.00%	0	0	0	0.61	0	0	0	0	1	0
9	Parker Wotherspoon	Senators	D	13	0	8	8	5	32	0	59	15	15	3	13	0.00%	18	287	22.10	0	2	2	6	34	0	0	0	0	47	0	0	0.00%	0	0	0	0.56	0	0	0	0	0	0
10	Michael Anderson	Senators	D	13	1	6	7	1	16	0	17	10	12	4	9	8.33%	26	274	21.12	0	1	1	2	12	0	0	0	0	55	0	0	0.00%	0	0	0	0.51	0	0	0	0	1	0
11	Niko Mikkola	Senators	D	13	2	5	7	6	29	5	45	7	7	1	4	28.57%	19	233	17.94	0	0	0	0	0	0	0	0	0	58	0	0	0.00%	0	0	0	0.60	0	0	1	0	0	3
12	Alex Belzile	Senators	LW	13	4	2	6	-2	10	0	2	15	36	1	19	11.11%	0	194	14.93	0	1	1	4	36	0	0	0	0	12	2	0	41.67%	12	0	0	0.62	0	0	0	0	1	0
13	Connor Dewar	Senators	C	13	1	4	5	0	10	0	33	20	24	13	14	4.17%	5	216	16.68	0	1	1	0	1	0	0	0	1	62	0	0	48.13%	187	0	0	0.46	0	0	0	0	0	0
14	Drew Helleson	Senators	D	8	1	3	4	4	8	0	6	3	3	1	6	33.33%	8	126	15.84	0	0	0	0	0	0	0	0	0	20	0	1	0.00%	0	0	0	0.63	0	0	0	0	0	0
15	Gage Goncalves	Senators	LW	13	0	3	3	0	4	0	14	7	21	5	10	0.00%	0	139	10.71	0	0	0	0	0	0	0	0	0	0	0	0	36.36%	11	0	0	0.43	1	3	0	0	0	0
16	Anthony Beauvillier	Senators	RW	13	1	1	2	-2	8	0	8	34	22	5	24	4.55%	2	190	14.68	0	0	0	1	0	0	0	0	0	58	1	0	55.90%	229	0	0	0.21	0	0	0	0	0	0
17	Ian Cole	Senators	D	13	1	1	2	4	0	0	8	12	10	2	3	10.00%	27	243	18.74	0	0	0	1	1	0	0	0	1	62	0	0	0.00%	0	0	0	0.16	0	0	0	0	0	0
18	Oliver Bjorkstrand	Senators	LW	13	2	0	2	-2	0	0	12	7	13	1	16	15.38%	0	151	11.62	1	0	1	2	8	0	0	0	0	0	0	0	50.00%	6	0	0	0.26	0	0	0	0	0	0
19	Elias Petterssonn	Senators (Ott)	D	5	1	0	1	0	12	0	8	1	3	0	0	33.33%	2	73	14.74	0	0	0	0	0	0	0	0	0	8	0	0	0.00%	0	0	0	0.27	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				234	54	92	146	64	169	5	303	271	400	108	289	13.50%	131	3830	16.37	13	26	39	78	443	1	1	2	4	528	6	5	52.89%	1140	1	1	0.76	3	9	1	8	7	9

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	A	PS %	PSA	ST	BG	S1	S2
1	Jake Oettinger	Senators	12	8	2	2	0.905	2.92	740	36	380	1	0.750	8	12	1	2	1
2	Casey DeSmith	Senators	1	0	0	1	0.854	5.63	64	6	41	0	0.000	0	1	12	0	0
Statistiques d’équipe totales ou en moyenne			13	8	2	3	0.900	3.13	805	42	421	1	0.750	8	13	13	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	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	2045	Link
Alex Belzile	Senators	LW	35	1991-08-31	No	205 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	844,444$	No	UFA					Lien / Lien NHL
Anthony Beauvillier	Senators	RW	29	1997-06-08	No	181 Lbs	5 ft11	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	2,111,111$	No	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Brayden Schenn	Senators	RW	35	1991-08-22	No	200 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	4,500,000$	4,500,000$	3,800,000$	No	4,500,000$	4,500,000$	UFA			Lien / Lien NHL
Cam Fowler	Senators	D	35	1991-12-05	No	213 Lbs	6 ft2	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	5,066,667$	No	UFA					Lien / Lien NHL
Casey DeSmith	Senators	G	35	1991-08-13	No	180 Lbs	6 ft0	Yes	No	Yes	4	Pro Only	5,000,000$	5,000,000$	4,222,222$	No	5,000,000$	5,000,000$	5,000,000$	UFA		Lien / Lien NHL
Connor Dewar	Senators	C	27	1999-06-26	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	1,688,889$	No	UFA					Lien / Lien NHL
Drew Helleson	Senators	D	25	2001-03-26	No	208 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	2,700,000$	2,700,000$	2,280,000$	No	2,700,000$	2,700,000$	UFA			Lien / Lien NHL
Evgeni Malkin	Senators	RW	40	1986-07-31	No	213 Lbs	6 ft5	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	5,488,889$	No	UFA					Lien / Lien NHL
Gage Goncalves	Senators	LW	25	2001-01-16	No	189 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	844,444$	No	1,000,000$	RFA				Lien / Lien NHL
Ian Cole	Senators	D	37	1989-02-21	No	237 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,955,556$	No	UFA					Lien / Lien NHL
Jake Oettinger	Senators	G	28	1998-12-18	No	205 Lbs	6 ft5	No	No	Yes	4	Pro Only	6,178,000$	6,178,000$	5,216,978$	No	6,178,000$	6,178,000$	6,178,000$	UFA		Lien / Lien NHL
Josh Norris	Senators	C	27	1999-05-05	No	196 Lbs	6 ft2	No	No	Yes	4	Pro Only	7,000,000$	7,000,000$	5,911,111$	No	7,000,000$	7,000,000$	7,000,000$	UFA		Lien / Lien NHL
Michael Anderson	Senators	D	27	1999-05-25	No	195 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,955,556$	No	UFA					Lien / Lien NHL
Morgan Geekie	Senators	C	28	1998-07-20	No	212 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,111,111$	No	2,500,000$	UFA				Lien / Lien NHL
Niko Mikkola	Senators	D	30	1996-04-27	No	204 Lbs	6 ft6	No	No	Yes	4	Pro & Farm	3,500,000$	3,500,000$	2,955,556$	No	3,500,000$	3,500,000$	3,500,000$	UFA		Lien / Lien NHL
Oliver Bjorkstrand	Senators	LW	31	1995-04-10	No	175 Lbs	6 ft0	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	5,066,667$	No	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Parker Wotherspoon	Senators	D	29	1997-08-24	No	190 Lbs	6 ft1	Yes	No	Yes	4	Pro Only	5,000,000$	5,000,000$	4,222,222$	No	5,000,000$	5,000,000$	5,000,000$	UFA		Lien / Lien NHL
Patrick Kane	Senators	RW	38	1988-11-19	No	176 Lbs	5 ft10	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	5,488,889$	No	UFA					Lien / Lien NHL
Tommy Novak	Senators	LW	29	1997-04-28	No	190 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	2,533,333$	No	UFA					Lien / Lien NHL
Vincent Trocheck	Senators	C	33	1993-07-11	No	187 Lbs	5 ft11	Yes	No	Yes	5	Pro Only	1$	1$	1$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	31.15	197 Lbs	6 ft1	2.45	3,893,900$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
77,878,001$	52,878,000$	49,378,000$	33,678,000$	7,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrick Kane	Vincent Trocheck	Evgeni Malkin	25	0	1	4
2	Brayden Schenn	Josh Norris	Morgan Geekie	25	1	0	4
3	Tommy Novak	Connor Dewar	Gage Goncalves	25	1	1	3
4	Oliver Bjorkstrand	Anthony Beauvillier	Alex Belzile	25	1	1	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ian Cole	Parker Wotherspoon	30	1	3	1
2	Michael Anderson	Drew Helleson	30	1	3	1
3	Niko Mikkola	Cam Fowler	25	1	3	1
4	Michael Anderson	Parker Wotherspoon	15	1	3	1

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrick Kane	Vincent Trocheck	Evgeni Malkin	50	1	0	4
2	Tommy Novak	Josh Norris	Morgan Geekie	50	1	0	4

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Alex Belzile	50	1	1	3
2	Parker Wotherspoon	Brayden Schenn	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Vincent Trocheck	Josh Norris	50	0	5	0
2	Anthony Beauvillier	Connor Dewar	50	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Parker Wotherspoon	Niko Mikkola	50	0	5	0
2	Michael Anderson	Ian Cole	50	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Vincent Trocheck	50	0	5	0	Parker Wotherspoon	Niko Mikkola	50	1	4	0
2	Connor Dewar	50	0	5	0	Michael Anderson	Ian Cole	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Vincent Trocheck	Patrick Kane	50	1	2	2
2	Evgeni Malkin	Josh Norris	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Parker Wotherspoon	Drew Helleson	50	1	2	2
2	Michael Anderson	Cam Fowler	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Morgan Geekie	Vincent Trocheck	Evgeni Malkin	Parker Wotherspoon	Cam Fowler

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Connor Dewar	Josh Norris	Anthony Beauvillier	Parker Wotherspoon	Ian Cole

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Josh Norris, Brayden Schenn, Connor Dewar	Josh Norris, Brayden Schenn	Josh Norris

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Cam Fowler, Niko Mikkola, Ian Cole	Cam Fowler	Drew Helleson, Niko Mikkola

Tirs de pénalité
Gage Goncalves, Josh Norris, Patrick Kane, Vincent Trocheck, Evgeni Malkin

Gardien
#1 : Jake Oettinger, #2 : Casey DeSmith

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	BlueJackets	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	6	2	2	1.000	8	13	21	0	0	1	3	4	0	38	7	16	15	0	31	6	16	26	7	2	28.57%	7	3	57.14%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	23	16	23	7	12	6
2	Bruins	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	1	2	0	0	30	7	12	11	0	36	8	14	22	3	1	33.33%	7	0	100.00%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	22	14	23	7	14	6
3	Canadiens	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	2	1	1	0	22	8	10	4	0	29	11	12	20	2	1	50.00%	6	0	100.00%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	22	15	24	7	12	6
4	Hurricanes	2	0	1	0	1	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	1	0	0	0	5	4	1	2	0.500	8	12	20	0	0	1	3	3	1	51	15	18	15	3	59	17	28	40	7	1	14.29%	14	2	85.71%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	36	22	61	16	24	11
5	Islanders	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	5	6	-1	1	0.500	5	10	15	0	0	1	2	2	0	41	14	6	18	3	41	8	15	30	5	2	40.00%	5	2	60.00%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	25	17	26	7	12	6
6	Lightning	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	3	1	0	0	30	12	13	5	0	22	8	14	24	6	1	16.67%	6	1	83.33%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	27	18	19	8	12	6
7	MapleLeafs	2	2	0	0	0	0	0	0	11	3	8	2	2	0	0	0	0	0	0	11	3	8	0	0	0	0	0	0	0	0	0	0	0	4	1.000	11	18	29	0	0	4	5	2	0	59	25	19	15	0	62	24	22	62	8	3	37.50%	10	0	100.00%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	44	29	50	15	25	12
8	RedWings	2	0	0	0	0	1	1	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	1	1	0	8	8	0	3	0.750	8	13	21	0	0	0	2	5	1	69	22	22	19	9	76	30	28	41	9	2	22.22%	14	5	64.29%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	47	31	56	16	25	12
9	Sabres	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	0	35	13	11	9	5	25	6	10	19	5	0	0.00%	5	1	80.00%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	26	19	25	8	13	5
10	Stars	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	0	1	1	2	25	7	6	8	7	40	13	10	19	3	0	0.00%	4	0	100.00%	0	221	432	51.16%	281	471	59.66%	101	198	51.01%	23	15	27	8	13	6
	Total	13	5	2	0	1	2	2	1	56	43	13	6	3	2	0	0	0	1	0	24	14	10	7	2	0	0	1	2	1	1	32	29	3	19	0.731	56	92	148	0	0	14	21	18	4	400	130	133	119	27	421	131	169	303	55	13	23.64%	78	14	82.05%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	299	202	337	102	168	80
	_Since Last GM Reset	13	5	2	0	1	2	2	1	56	43	13	6	3	2	0	0	0	1	0	24	14	10	7	2	0	0	1	2	1	1	32	29	3	19	0.731	56	92	148	0	0	14	21	18	4	400	130	133	119	27	421	131	169	303	55	13	23.64%	78	14	82.05%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	299	202	337	102	168	80
	_Vs Conference	12	5	2	0	1	2	1	1	53	41	12	5	3	2	0	0	0	0	0	21	12	9	7	2	0	0	1	2	1	1	32	29	3	17	0.708	53	88	141	0	0	14	20	17	2	375	123	127	111	20	381	118	159	284	52	13	25.00%	74	14	81.08%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	276	186	310	94	154	73
	_Vs Division	8	4	1	0	0	1	1	1	32	21	11	4	3	1	0	0	0	0	0	18	8	10	4	1	0	0	0	1	1	1	14	13	1	12	0.750	32	53	85	0	0	11	12	8	1	245	87	87	63	14	250	87	100	188	33	8	24.24%	48	7	85.42%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	190	129	199	62	104	49

			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
13	19	SOW1	56	92	148	400	421	131	169	303	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	5	2	1	2	2	1	56	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	0	1	0	24	14

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	0	1	2	1	1	32	29

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

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
55	13	23.64%	78	14	82.05%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
130	133	119	27	14	21	18	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
221	432	51.16%	281	471	59.66%	101	198	51.01%

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
299	202	337	102	168	80

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
2	13	Hurricanes	4	Senators	3	BL			Sommaire du match
4	28	Senators	5	Islanders	6	AL	X		Sommaire du match
5	35	Senators	4	RedWings	5	AL	X		Sommaire du match
7	56	MapleLeafs	2	Senators	5	BW			Sommaire du match
9	67	Senators	5	Hurricanes	4	AW	X		Sommaire du match
11	82	Senators	8	BlueJackets	6	AW			Sommaire du match
13	96	Stars	2	Senators	3	BW	X	X	Sommaire du match
16	116	MapleLeafs	1	Senators	6	BW			Sommaire du match
18	135	Senators	4	Canadiens	2	AW			Sommaire du match
20	150	Lightning	1	Senators	4	BW			Sommaire du match
22	163	Bruins	4	Senators	3	BL			Sommaire du match
25	180	Senators	2	Sabres	3	AL	X	X	Sommaire du match
27	193	Senators	4	RedWings	3	AW	X	X	Sommaire du match
29	209	RedWings	-	Senators	-
31	223	Senators	-	Panthers	-
32	236	Senators	-	Flyers	-
34	249	Penguins	-	Senators	-
36	268	Jets	-	Senators	-
40	290	Avalanche	-	Senators	-
42	309	Senators	-	Islanders	-
43	320	Panthers	-	Senators	-
45	337	Senators	-	Kings	-
47	352	Stars	-	Senators	-
50	374	Ducks	-	Senators	-
52	389	Senators	-	Predators	-
53	400	Senators	-	Avalanche	-
55	412	Oilers	-	Senators	-
58	435	Senators	-	Sharks	-
59	445	Blackhawks	-	Senators	-
61	462	Senators	-	Flames	-
64	475	Kings	-	Senators	-
66	492	Senators	-	Bruins	-
68	505	Mammoth	-	Senators	-
69	521	Senators	-	Islanders	-
71	535	Senators	-	Sabres	-
73	547	Flyers	-	Senators	-
76	572	Islanders	-	Senators	-
79	594	Capitals	-	Senators	-
81	601	Senators	-	Lightning	-
83	616	Senators	-	Jets	-
85	632	Penguins	-	Senators	-
87	650	Senators	-	Blackhawks	-
89	661	Senators	-	Canucks	-
91	673	Hurricanes	-	Senators	-
93	691	Senators	-	GoldenKnights	-
94	701	Hurricanes	-	Senators	-
96	719	Senators	-	Rangers	-
98	735	Canadiens	-	Senators	-
100	752	Rangers	-	Senators	-
102	763	Senators	-	Penguins	-
104	780	Senators	-	Hurricanes	-
106	794	GoldenKnights	-	Senators	-
108	813	Senators	-	Blues	-
110	822	Senators	-	Flyers	-
111	834	BlueJackets	-	Senators	-
114	854	Bruins	-	Senators	-
116	866	Senators	-	RedWings	-
118	883	RedWings	-	Senators	-
120	899	Senators	-	Panthers	-
122	913	Senators	-	Oilers	-
124	925	Lightning	-	Senators	-
127	947	Sharks	-	Senators	-
128	961	Senators	-	Devils	-
131	978	Devils	-	Senators	-
133	997	Senators	-	Stars	-
134	1002	Senators	-	Wild	-
136	1017	Predators	-	Senators	-
138	1039	Blues	-	Senators	-
140	1051	Senators	-	Capitals	-
142	1069	Senators	-	Ducks	-
143	1077	Wild	-	Senators	-
146	1096	Senators	-	Canadiens	-
148	1106	Flames	-	Senators	-
152	1135	MapleLeafs	-	Senators	-
153	1144	Senators	-	MapleLeafs	-
156	1166	Canucks	-	Senators	-
158	1174	Senators	-	Mammoth	-
159	1184	Senators	-	BlueJackets	-
161	1199	Rangers	-	Senators	-
167	1229	Sabres	-	Senators	-
171	1253	Sabres	-	Senators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172	1255	Senators	-	Rangers	-
173	1269	Senators	-	Capitals	-
178	1293	Devils	-	Senators	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tommy Novak

AGE:29
SK:		84
EN:		79
DU:		99
PH:		66
PA:		66
SC:		66
DF:		69
Gage Goncalves

AGE:25
SK:		82
EN:		77
DU:		94
PH:		63
PA:		64
SC:		62
DF:		70
Oliver Bjorkstrand

AGE:31
SK:		83
EN:		77
DU:		98
PH:		61
PA:		61
SC:		62
DF:		62
Alex Belzile

AGE:35
SK:		82
EN:		75
DU:		65
PH:		64
PA:		61
SC:		66
DF:		70
Braeden Bowman

AGE:23
SK:		82
EN:		78
DU:		80
PH:		65
PA:		67
SC:		62
DF:		64
Liam Foudy

AGE:26
SK:		79
EN:		69
DU:		59
PH:		57
PA:		49
SC:		66
DF:		70
Jacob Gaucher (R)

AGE:25
SK:		75
EN:		78
DU:		68
PH:		46
PA:		39
SC:		54
DF:		61
Kasper Halttunen (R)

AGE:20
SK:		82
EN:		78
DU:		68
PH:		46
PA:		43
SC:		49
DF:		54
Francesco Pinelli

AGE:23
SK:		75
EN:		74
DU:		64
PH:		47
PA:		46
SC:		48
DF:		70

Vincent Trocheck

AGE:33
SK:		91
EN:		89
DU:		89
PH:		77
PA:		85
SC:		70
DF:		80
Morgan Geekie

AGE:28
SK:		87
EN:		84
DU:		98
PH:		79
PA:		69
SC:		89
DF:		63
Josh Norris

AGE:27
SK:		88
EN:		81
DU:		73
PH:		77
PA:		79
SC:		74
DF:		73
Connor Dewar

AGE:27
SK:		83
EN:		78
DU:		96
PH:		61
PA:		57
SC:		65
DF:		87
Tanner Laczynski

AGE:29
SK:		82
EN:		72
DU:		50
PH:		66
PA:		81
SC:		50
DF:		71
Colin Blackwell

AGE:33
SK:		80
EN:		74
DU:		91
PH:		54
PA:		53
SC:		55
DF:		76
Nikita Nesterenko

AGE:25
SK:		78
EN:		75
DU:		63
PH:		58
PA:		63
SC:		53
DF:		65
Zack Ostapchuk

AGE:23
SK:		75
EN:		72
DU:		83
PH:		50
PA:		44
SC:		56
DF:		71
Trent Frederic

AGE:28
SK:		75
EN:		73
DU:		94
PH:		49
PA:		43
SC:		54
DF:		61
Cole Guttman

AGE:27
SK:		82
EN:		76
DU:		66
PH:		57
PA:		55
SC:		59
DF:		62
Lucas Mercuri (R)

AGE:24
SK:		80
EN:		76
DU:		66
PH:		41
PA:		35
SC:		47
DF:		70

Evgeni Malkin

AGE:40
SK:		91
EN:		84
DU:		81
PH:		90
PA:		99
SC:		78
DF:		65
Patrick Kane

AGE:38
SK:		93
EN:		84
DU:		89
PH:		80
PA:		90
SC:		70
DF:		65
Brayden Schenn

AGE:35
SK:		82
EN:		82
DU:		98
PH:		65
PA:		62
SC:		68
DF:		63
Anthony Beauvillier

AGE:29
SK:		82
EN:		81
DU:		99
PH:		59
PA:		53
SC:		65
DF:		75
Alexander Nylander

AGE:28
SK:		79
EN:		74
DU:		64
PH:		58
PA:		57
SC:		60
DF:		65
Ville Koivunen

AGE:23
SK:		78
EN:		76
DU:		70
PH:		52
PA:		51
SC:		54
DF:		67

Défense #1

Défense #2

Gardien

Parker Wotherspoon

AGE:29
SK:		81
EN:		84
DU:		98
PH:		61
PA:		68
SC:		55
DF:		82
Ian Cole

AGE:37
SK:		76
EN:		80
DU:		99
PH:		57
PA:		60
SC:		55
DF:		80
Michael Anderson

AGE:27
SK:		79
EN:		84
DU:		98
PH:		56
PA:		56
SC:		56
DF:		80
Niko Mikkola

AGE:30
SK:		75
EN:		84
DU:		89
PH:		53
PA:		50
SC:		55
DF:		77
Cam Fowler

AGE:35
SK:		79
EN:		85
DU:		99
PH:		61
PA:		66
SC:		56
DF:		72
Drew Helleson

AGE:25
SK:		76
EN:		78
DU:		84
PH:		56
PA:		58
SC:		54
DF:		78
Elias Petterssonn

AGE:22
SK:		76
EN:		74
DU:		91
PH:		52
PA:		48
SC:		55
DF:		72
Declan Carlile

AGE:26
SK:		75
EN:		74
DU:		72
PH:		48
PA:		44
SC:		53
DF:		70

Zayne Parekh (R)

AGE:20
SK:		80
EN:		78
DU:		68
PH:		57
PA:		51
SC:		63
DF:		61
Nikita Novikov

AGE:23
SK:		75
EN:		68
DU:		63
PH:		40
PA:		38
SC:		42
DF:		70
Viliam Kmec (R)

AGE:22
SK:		82
EN:		69
DU:		64
PH:		36
PA:		35
SC:		38
DF:		70
David Spacek

AGE:23
SK:		77
EN:		63
DU:		58
PH:		52
PA:		60
SC:		45
DF:		59
David Gucciardi (R)

AGE:24
SK:		82
EN:		56
DU:		51
PH:		36
PA:		36
SC:		37
DF:		63
Tyrel Bauer

AGE:24
SK:		75
EN:		56
DU:		51
PH:		29
PA:		26
SC:		32
DF:		70
Bryce Montgomery (R)

AGE:24
SK:		76
EN:		55
DU:		50
PH:		32
PA:		34
SC:		30
DF:		59

Jake Oettinger

AGE:28
SK:		88
AG:		89
RB:		87
SC:		88
HS:		88
RT:		90
DF:		86
Casey DeSmith

AGE:35
SK:		86
AG:		87
RB:		88
SC:		89
HS:		90
RT:		90
DF:		84
Colten Ellis

AGE:26
SK:		89
AG:		84
RB:		84
SC:		77
HS:		83
RT:		82
DF:		82
Matthew Villalta

AGE:27
SK:		80
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Isak Posch (R)

AGE:24
SK:		70
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
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
Emil Hemming	Senators	2038	35
Jaden Lipinski	Senators	2037	144
Jakub Milota	Senators	2038	109
James Clark	Senators	2037	175
Jeremy Hanzel	Senators	2037	149
Luke Mittelstadt	Senators	2037	182
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
Victor Eklund	Senators	2039	15
Vojtech Port	Senators	2037	206
Warren Clark	Senators	2037	146
Xavier Veilleux	Senators	2038	189

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2041
2042
2043

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	133	70	49	4	0.893	3.26	7572	23	3	411	3845	0	5	2	0.833	30
5	Jake Oettinger	82	48	26	7	0.900	3.11	4840	4	2	251	2520	0	4	0	0.794	34

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
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	82	26	34	0	9	6	3	4	246	275	-29	41	11	16	0	6	4	2	2	120	131	-11	41	15	18	0	3	2	1	2	126	144	-18	86	246	435	681	1	1	80	81	73	16	2502	832	807	831	61	2682	777	1122	1751	346	76	21.97%	443	84	81.04%	2	1504	2836	53.03%	1617	3089	52.35%	703	1319	53.30%	1920	1321	2020	614	1040	513
2040	13	5	2	0	1	2	2	1	56	43	13	6	3	2	0	0	0	1	0	24	14	10	7	2	0	0	1	2	1	1	32	29	3	19	56	92	148	0	0	14	21	18	4	400	130	133	119	27	421	131	169	303	55	13	23.64%	78	14	82.05%	1	221	432	51.16%	281	471	59.66%	101	198	51.01%	299	202	337	102	168	80
Total Saison régulière	1735	624	822	0	61	55	92	81	5338	5817	-479	867	326	390	0	33	30	45	43	2719	2827	-108	868	298	432	0	28	25	47	38	2619	2990	-371	1597	5338	9187	14525	31	51	322	1780	1722	1405	52991	2789	16892	17729	15256	56189	16948	22699	40144	7864	1542	19.61%	8702	1847	78.77%	100	27803	58440	47.58%	27601	61577	44.82%	12971	27559	47.07%	39521	25926	41892	13849	23975	11855
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