Canadian Hockey League

Senators
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Senators 33-32-10, 76pts	7	FINAL	1	Avalanche 24-44-6, 54pts

Team Stats
L1	Streak	W1
16-14-6	Home Record	11-24-3
17-18-4	Away Record	13-20-3
4-4-2	Last 10 Games	3-7-0
2.99	Goals Per Game	3.08
3.47	Goals Against Per Game	4.15
21.23%	Power Play Percentage	18.99%
80.40%	Penalty Kill Percentage	75.28%

Bruins
51-18-5, 107pts

FINAL

Senators
33-32-10, 76pts

Team Stats
W5	Streak	L1
23-12-3	Home Record	16-14-6
28-6-2	Away Record	17-18-4
6-4-0	Last 10 Games	4-4-2
3.55	Goals Per Game	2.99
2.74	Goals Against Per Game	3.47
21.69%	Power Play Percentage	21.23%
83.33%	Penalty Kill Percentage	80.40%

Canadiens
27-44-4, 58pts

Day 161

Senators
33-32-10, 76pts

Team Stats
L1	Streak	L1
11-24-2	Home Record	16-14-6
16-20-2	Away Record	17-18-4
2-8-0	Last 10 Games	4-4-2
3.20	Goals Per Game	2.99
3.88	Goals Against Per Game	3.47
21.19%	Power Play Percentage	21.23%
77.01%	Penalty Kill Percentage	80.40%

Stars
29-36-10, 68pts

Day 166

Senators
33-32-10, 76pts

Team Stats
W1	Streak	L1
17-14-5	Home Record	16-14-6
12-22-5	Away Record	17-18-4
6-3-1	Last 10 Games	4-4-2
2.89	Goals Per Game	2.99
3.39	Goals Against Per Game	3.47
16.37%	Power Play Percentage	21.23%
81.25%	Penalty Kill Percentage	80.40%

Kings
49-21-4, 102pts

Day 168

Senators
33-32-10, 76pts

Team Stats
L1	Streak	L1
30-5-2	Home Record	16-14-6
19-16-2	Away Record	17-18-4
9-1-0	Last 10 Games	4-4-2
3.84	Goals Per Game	2.99
2.74	Goals Against Per Game	3.47
21.18%	Power Play Percentage	21.23%
83.04%	Penalty Kill Percentage	80.40%

Team Leaders
	Goals Vincent Trocheck 29	Assists Quinn Hughes 63

	Points Vincent Trocheck 77	Plus/Minus Morgan Geekie 23

	Wins Jake Oettinger 35	Save Percentage Jake Oettinger 0.896

Team Stats
Goals For 224 2.99 GFG	Shots For 2302 30.69 Avg	Power Play Percentage 21.2% 69 GF	Offensive Zone Start 39.4%
Goals Against 260 3.47 GAA	Shots Against 2418 32.24 Avg	Penalty Kill Percentage 80.4% 78 GA	Defensive Zone Start 42.1%

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Guy Morin
	Coach	Spencer Carbery
	Division	Atlantic
	Conference	Eastern
	Captain	Quinn Hughes
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	GFS Center
	Capacity	25,000
	Attendance	15,803
	Season Tickets	10,000
Roster Info
	Pro Team	23
	Farm Team	26
	Contract Limit	49 / 50
	Prospects	25
Salary Cap
	Estimated Season Salary Cap	83,705,471$
	Available Salary Cap	6,294,529$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	62,893,882$
	Year To Date Expenses	76,238,039$
	Estimated Season Revenue	8,735,261$
	Estimated Season Expenses	8,967,438$
	Current Bank Account	134,127,593$
	Projected Bank Account	133,549,016$
Team History
	This Season	33-32-10 (76PTS)
	History	764-818-138 (0.444%)
	Playoff Appearances	6
	Playoff Record (W-L)	33-31
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Vincent Trocheck			X		100.00	99	49	79	90	53	90	99	75	94	73	76	96	77	86	88	35	42	79	0	32	1	5,250,000$
2	Evgeni Malkin	X				100.00	51	56	78	84	76	84	89	75	81	81	69	69	73	99	92	0	34	74	0	39	2	6,500,000$
3	Josh Norris	X				100.00	96	49	74	85	63	85	81	71	89	61	81	86	73	74	80	65	33	74	0	26	5	7,000,000$
4	Morgan Geekie		X			100.00	73	53	84	85	71	83	96	75	82	66	85	73	40	76	80	60	22	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	33	73	0	37	2	6,500,000$
6	Brayden Schenn	X				100.00	95	61	75	85	63	84	99	70	87	72	68	69	69	90	87	25	26	73	0	34	1	7,000,000$
7	Oliver Bjorkstrand			X		100.00	62	47	85	87	49	80	97	69	40	66	72	69	65	82	81	45	33	70	0	30	1	5,700,000$
8	Oskar Sundqvist			X		100.00	67	56	80	76	77	77	89	57	81	57	57	72	40	84	81	40	33	66	0	31	1	2,000,000$
9	Colin Blackwell	X				100.00	71	42	85	81	48	74	86	56	84	54	58	80	40	86	80	35	33	65	0	32	3	2,900,000$
10	Paul Cotter			X		100.00	99	56	74	76	72	77	97	56	40	46	67	64	80	74	76	65	36	65	0	26	4	2,500,000$
11	Tommy Novak		X			100.00	43	44	89	82	53	77	80	62	78	54	70	69	90	78	78	55	34	65	0	28	2	3,000,000$
12	Connor Dewar		X			100.00	99	53	84	79	53	74	76	54	78	50	57	70	40	74	74	65	32	63	0	26	2	2,000,000$
13	Quinn Hughes (C)				X	100.00	44	44	81	99	47	92	89	96	40	99	79	78	40	74	83	65	33	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	24	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	34	73	0	34	2	6,000,000$
16	Michael Anderson				X	100.00	76	47	83	80	59	87	96	59	40	59	60	83	40	74	81	65	21	72	0	26	2	3,500,000$
17	Niko Mikkola				X	100.00	82	55	72	75	75	84	95	58	40	57	60	73	40	80	82	50	30	71	0	29	5	3,500,000$
18	Dmitry Kulikov				X	100.00	78	52	79	76	69	82	91	54	40	51	57	80	65	92	87	20	32	71	0	35	1	2,000,000$
Scratches
1	Trent Frederic		X			100.00	99	71	75	75	78	77	83	56	79	50	61	65	40	76	77	60	26	65	0	27	2	3,000,000$
2	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$
3	Drew Helleson				X	100.00	81	58	73	76	74	77	81	56	40	53	59	76	40	70	74	75	38	69	0	24	1	1,250,000$
Farm Team
1	Gage Goncalves			X		100.00	68	45	85	80	55	76	84	59	40	56	61	65	90	70	73	75	49	64	0	24	3	1,000,000$
2	Carl Grundstrom			X		100.00	99	48	81	77	61	71	81	52	40	49	54	63	65	78	75	55	45	62	0	28	1	1,975,000$
3	Vincent Hinostroza	X				100.00	65	42	85	81	49	77	69	56	40	51	61	66	69	84	81	40	49	62	0	31	2	950,000$
4	Tanner Laczynski		X			100.00	62	47	79	81	66	60	50	62	40	64	60	65	40	78	69	55	49	62	0	28	2	975,000$
5	Tomas Nosek		X			100.00	73	51	87	75	67	71	83	51	87	51	51	70	40	88	80	30	49	62	0	33	1	2,000,000$
6	Nikita Nesterenko	X				100.00	94	49	88	78	63	72	57	57	40	48	66	62	40	70	71	75	49	62	0	24	1	750,000$
7	Cameron Hebig	X				100.00	55	47	80	80	50	76	66	54	70	46	62	70	40	78	77	55	34	61	0	28	2	900,000$
8	Cole Guttman	X				100.00	50	45	80	82	48	79	69	58	70	60	57	50	90	74	77	65	49	61	0	26	1	825,000$
9	Jake Lucchini	X				100.00	53	48	79	77	51	79	69	51	70	48	55	67	80	82	81	45	29	60	0	30	2	900,000$
10	Sam Morton (R)			X		100.00	61	46	85	88	56	79	69	51	70	49	53	51	40	74	77	65	44	59	0	26	3	575,000$
11	Braeden Bowman (R)		X			100.00	75	52	86	83	70	77	67	47	40	47	47	55	40	66	72	85	55	58	0	22	3	1,500,000$
12	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$
13	Joe Hicketts				X	100.00	76	39	75	75	41	66	61	44	40	52	36	68	40	80	73	50	49	61	0	29	1	950,000$
14	Nikita Novikov				X	100.00	62	50	75	75	72	72	67	39	40	37	41	70	40	66	69	85	49	61	0	22	2	925,000$
15	Noel Hoefenmayer				X	100.00	71	53	78	75	65	55	50	47	40	51	44	67	40	74	65	65	53	60	0	26	2	900,000$
16	Matt Kiersted				X	100.00	55	44	78	75	52	68	63	44	40	56	32	70	40	76	72	60	49	60	0	27	2	850,000$
17	Declan Carlile				X	100.00	53	49	71	75	63	59	54	39	40	35	43	70	40	72	66	70	34	58	0	25	2	950,000$
18	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$
19	Noah Philp (R)	X				100.00	63	51	87	75	66	70	53	50	74	51	50	65	40	76	73	60	19	58	0	27	3	575,000$
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	Liam Foudy		X			100.00	54	49	83	76	57	79	69	51	40	49	53	50	40	72	76	70	16	57	0	25	3	775,000$
22	Cole Clayton				X	100.00	65	60	78	75	64	67	62	35	40	38	32	65	40	72	70	70	20	59	0	25	3	900,000$
23	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$

	TEAM AVERAGE					100.00	69	51	80	80	62	77	77	57	55	55	58	68	52	78	78	54	34	65

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jake Oettinger	100.00	86	99	99	99	83	81	82	82	84	80	94	76	79	60	34	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	44	79	0	26	2	3,400,000$
Scratches
Farm Team
1	Matthew Murray	100.00	75	72	79	86	72	68	67	70	71	72	99	76	72	60	47	71	0	27	1	900,000$
2	Colten Ellis	100.00	89	71	76	84	68	68	61	67	66	66	87	72	70	70	50	69	0	25	1	750,000$
3	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$

	TEAM AVERAGE	100.00	84	77	82	90	70	69	67	70	69	69	83	74	71	65	39	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Spencer Carbery	77	91	98	73	79	50	82	CAN	44	4	1,500,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	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	FW	FL	FT	S1	S2	S3
1	Vincent Trocheck	Senators	RW	74	29	48	77	18	84	0	220	219	288	100	257	10.07%	26	1538	20.80	10	17	27	81	288	1	0	1	7	264	2	1	56.88%	1438	0	1	1.00	1	5	0	0	0	4	8	5
2	Quinn Hughes	Senators	D	75	12	63	75	-11	12	0	21	148	167	58	123	7.19%	103	1835	24.47	9	22	31	103	260	0	0	0	4	330	0	1	0.00%	0	0	0	0.82	0	0	0	0	0	3	3	1
3	Josh Norris	Senators	C	75	27	41	68	18	99	5	209	184	294	80	179	9.18%	27	1462	19.50	4	17	21	73	251	1	0	1	6	277	6	2	54.88%	1454	0	1	0.93	0	2	0	0	1	6	5	1
4	Evgeni Malkin	Senators	C	74	28	34	62	-6	19	15	18	146	167	50	101	16.77%	20	1369	18.51	10	19	29	52	252	0	0	0	1	125	5	1	54.38%	1565	0	1	0.91	1	5	1	1	1	6	4	3
5	Patrick Kane	Senators	RW	76	16	35	51	0	0	0	3	112	212	57	158	7.55%	8	1332	17.53	6	15	21	68	268	0	0	0	1	58	3	1	29.66%	145	0	0	0.77	1	4	0	0	0	1	1	5
6	Cam Fowler	Senators	D	76	11	37	48	4	15	5	7	125	126	39	91	8.73%	94	1715	22.57	5	8	13	78	245	0	1	1	0	286	2	0	0.00%	0	0	0	0.56	0	2	1	0	0	1	1	2
7	Brayden Schenn	Senators	C	71	15	30	45	-2	93	15	215	123	176	67	124	8.52%	10	1274	17.96	5	9	14	52	243	1	0	1	2	67	2	2	51.55%	1129	0	0	0.71	1	2	2	0	1	1	3	1
8	Morgan Geekie	Senators	LW	65	20	15	35	23	18	0	36	71	151	41	108	13.25%	9	1264	19.45	5	6	11	36	222	0	1	1	4	227	1	2	53.59%	181	1	0	0.55	1	3	0	0	0	2	3	0
9	Tommy Novak	Senators	LW	75	15	19	34	-18	4	0	5	73	146	41	94	10.27%	7	948	12.65	6	7	13	38	208	0	0	0	0	3	3	2	49.46%	186	0	0	0.72	1	5	0	0	0	0	2	3
10	Oliver Bjorkstrand	Senators	RW	75	15	13	28	-20	8	0	42	80	176	40	123	8.52%	6	1030	13.74	6	4	10	50	254	0	0	0	0	0	0	0	32.14%	56	0	0	0.54	0	0	0	0	0	2	1	3
11	Michael Anderson	Senators	D	74	9	16	25	-4	130	0	194	58	86	27	61	10.47%	92	1671	22.59	7	3	10	39	265	0	1	1	2	261	2	1	0.00%	0	0	0	0.30	0	1	0	0	0	0	2	0
12	Dmitry Kulikov	Senators	D	75	5	16	21	-10	93	5	146	46	50	19	22	10.00%	101	1258	16.78	0	0	0	0	0	0	1	1	0	270	0	0	0.00%	0	0	0	0.33	0	0	0	0	0	1	0	2
13	Ian Cole	Senators	D	75	5	13	18	-6	208	30	220	63	47	14	19	10.64%	117	1453	19.38	0	0	0	0	5	0	0	0	1	260	1	0	0.00%	0	0	0	0.25	0	0	2	3	1	1	1	2
14	Niko Mikkola	Senators	D	75	6	12	18	-3	136	10	213	37	51	16	22	11.76%	72	1211	16.16	1	0	1	2	22	0	0	0	0	63	2	0	0.00%	0	0	0	0.30	0	0	0	1	1	1	0	2
15	Colin Blackwell	Senators	C	75	7	6	13	-8	14	0	45	99	79	25	64	8.86%	18	838	11.18	0	1	1	0	6	0	0	0	3	241	3	0	46.39%	789	0	0	0.31	0	0	0	0	0	0	2	1
16	Oskar Sundqvist	Senators	RW	66	4	7	11	-23	22	0	21	49	70	24	57	5.71%	5	685	10.39	0	0	0	3	4	0	0	0	0	13	1	0	51.57%	477	0	0	0.32	0	0	0	0	0	0	1	1
17	Jeff Petry	Senators	D	34	2	6	8	-7	25	5	31	19	10	9	15	20.00%	39	500	14.73	0	0	0	0	3	0	0	0	0	22	1	0	0.00%	0	0	0	0.32	0	0	1	0	0	2	0	0
18	Drew Helleson	Senators	D	32	1	5	6	-15	66	10	64	18	20	10	12	5.00%	31	450	14.09	0	0	0	1	0	0	0	0	0	45	0	0	0.00%	0	0	0	0.27	0	0	0	0	2	0	1	1
19	Trent Frederic	Senators	LW	64	2	3	5	-14	62	20	82	22	33	17	24	6.06%	0	551	8.61	1	0	1	1	5	0	0	0	0	0	0	0	58.82%	34	0	0	0.18	0	0	0	2	2	0	0	0
20	Connor Dewar	Senators (Ott)	LW	18	1	3	4	-1	22	0	36	12	16	5	17	6.25%	2	211	11.74	1	1	2	4	36	0	0	0	0	15	0	0	46.15%	13	0	0	0.38	0	0	0	0	0	0	0	0
21	Paul Cotter	Senators	RW	61	3	0	3	-26	52	10	98	26	37	11	23	8.11%	5	620	10.17	0	0	0	0	3	0	0	0	0	27	0	1	31.76%	148	0	0	0.10	0	1	1	1	0	0	0	1
22	Braeden Bowman	Senators (Ott)	LW	3	0	0	0	-4	0	0	0	0	0	2	0	0.00%	0	35	11.83	0	0	0	0	8	0	0	0	0	0	0	0	20.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1388	233	422	655	-115	1182	130	1926	1730	2402	752	1694	9.70%	792	23262	16.76	76	129	205	681	2857	3	4	7	31	2863	34	14	52.30%	7620	1	3	0.56	6	30	8	8	9	31	38	34

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Jake Oettinger	Senators	64	35	23	5	0.896	3.24	3727	2	2	201	1925	2	0.783	23	64	9	5	5	3
2	Pyotr Kochetkov	Senators	21	5	10	3	0.887	3.58	1106	0	0	66	583	0	0.500	6	17	57	0	0	0
3	Colten Ellis	Senators (Ott)	1	0	1	0	0.875	4.00	60	0	0	4	32	0	0.000	0	1	1	0	0	0
Team Total or Average			86	40	34	8	0.893	3.32	4894	2	2	271	2540	2	0.724	29	82	67	5	5	3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	2044	Link
Brayden Schenn	Senators	C	34	1991-08-22	No	199 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	707,865$	No	UFA					Link / NHL Link
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$	606,742$	No	6,000,000$	UFA				Link / NHL Link
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$	293,258$	No	2,900,000$	2,900,000$	UFA			Link / NHL Link
Connor Dewar	Senators (Ott)	LW	26	1999-06-26	No	192 Lbs	5 ft10	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	UFA				Link / NHL Link
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$	202,247$	No	UFA					Link / NHL Link
Drew Helleson	Senators	D	24	2001-03-26	No	213 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	126,404$	No	RFA					Link / NHL Link
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$	657,303$	No	6,500,000$	UFA				Link / NHL Link
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$	353,933$	No	3,500,000$	UFA				Link / NHL Link
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$	624,742$	No	6,178,000$	6,178,000$	6,178,000$	6,178,000$	UFA	Link / NHL Link
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$	404,494$	No	UFA					Link / NHL Link
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$	707,865$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Link / NHL Link
Michael Anderson	Senators	D	26	1999-05-25	No	195 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	353,933$	No	3,500,000$	UFA				Link / NHL Link
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$	252,809$	No	2,500,000$	2,500,000$	UFA			Link / NHL Link
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$	353,933$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	UFA	Link / NHL Link
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$	576,404$	No	UFA					Link / NHL Link
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$	202,247$	No	UFA					Link / NHL Link
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$	657,303$	No	6,500,000$	UFA				Link / NHL Link
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$	252,809$	No	2,500,000$	2,500,000$	2,500,000$	UFA		Link / NHL Link
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$	343,820$	No	3,400,000$	UFA				Link / NHL Link
Quinn Hughes	Senators	D	26	1999-10-14	No	180 Lbs	5 ft10	Yes	No	Yes	3	Pro Only	1$	1$	0$	No	10,000,000$	10,000,000$	UFA			Link / NHL Link
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$	303,371$	No	3,000,000$	UFA				Link / NHL Link
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$	303,371$	No	3,000,000$	UFA				Link / NHL Link
Vincent Trocheck	Senators	RW	32	1993-07-11	No	188 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,250,000$	5,250,000$	530,899$	No	UFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	30.26	200 Lbs	6 ft1	2.30	3,877,304$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
89,178,001$	71,978,000$	34,578,000$	19,178,000$	16,678,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Morgan Geekie	Vincent Trocheck	Josh Norris	35	1	2	2
2	Brayden Schenn	Evgeni Malkin	Patrick Kane	35	1	2	2
3	Oliver Bjorkstrand	Paul Cotter	Tommy Novak	20	1	1	3
4	Connor Dewar	Colin Blackwell	Oskar Sundqvist	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Quinn Hughes	Ian Cole	30	1	2	2
2	Cam Fowler	Michael Anderson	30	1	2	2
3	Dmitry Kulikov	Niko Mikkola	25	1	2	2
4	Cam Fowler	Ian Cole	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brayden Schenn	Josh Norris	Tommy Novak	50	1	0	4
2	Morgan Geekie	Evgeni Malkin	Vincent Trocheck	50	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Quinn Hughes	Oliver Bjorkstrand	50	1	1	3
2	Cam Fowler	Patrick Kane	50	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Morgan Geekie	50	1	4	0
2	Josh Norris	Colin Blackwell	50	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	2	3	0
2	Michael Anderson	Dmitry Kulikov	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Morgan Geekie	50	1	4	0	Quinn Hughes	Ian Cole	50	1	4	0
2	Josh Norris	50	1	4	0	Cam Fowler	Michael Anderson	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Patrick Kane	50	1	2	2
2	Evgeni Malkin	Brayden Schenn	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	1	2	2
2	Cam Fowler	Niko Mikkola	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tommy Novak	Evgeni Malkin	Vincent Trocheck	Quinn Hughes	Ian Cole

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tommy Novak	Evgeni Malkin	Vincent Trocheck	Quinn Hughes	Ian Cole

Extra Forwards
Normal	PowerPlay	Penalty Kill
Patrick Kane, Oskar Sundqvist, Colin Blackwell	Patrick Kane, Morgan Geekie	Patrick Kane

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Niko Mikkola, Dmitry Kulikov, Ian Cole	Niko Mikkola	Michael Anderson, Dmitry Kulikov

Penalty Shots
Vincent Trocheck, Tommy Novak, Evgeni Malkin, Josh Norris, Patrick Kane

Goalie
#1 : Jake Oettinger, #2 : Pyotr Kochetkov, #3 : 0

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	7	1	6	4	1.000	9	16	25	0	0	1	6	2	0	83	25	35	23	0	52	17	14	30	11	5	45.45%	7	1	85.71%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	53	38	41	14	25	13
2	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	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	24	16	22	7	13	7
3	BlueJackets	3	0	3	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	8	14	22	0	0	2	4	2	0	77	26	20	31	0	129	23	34	55	6	1	16.67%	16	4	75.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	66	45	76	21	36	17
4	Blues	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	7	11	0	0	1	1	2	0	39	11	13	15	0	52	14	20	40	8	1	12.50%	10	2	80.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	46	32	47	15	26	12
5	Bruins	3	0	2	0	1	0	0	0	11	14	-3	2	0	1	0	1	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	6	-3	2	0.333	11	19	30	0	0	3	2	5	1	104	38	30	34	2	107	25	24	78	17	3	17.65%	9	2	77.78%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	69	48	74	21	36	18
6	Canadiens	3	2	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	2	0	2	2	1	1	0	0	0	0	0	7	7	0	4	0.667	9	17	26	0	1	4	1	4	0	88	40	16	32	0	92	25	47	63	14	4	28.57%	20	1	95.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	64	44	79	22	36	17
7	Canucks	2	0	2	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	1	1	2	0	0	1	0	0	0	58	25	17	16	0	79	24	22	40	7	0	0.00%	11	5	54.55%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	46	31	49	14	24	11
8	Capitals	3	1	2	0	0	0	0	0	9	11	-2	2	1	1	0	0	0	0	0	8	5	3	1	0	1	0	0	0	0	0	1	6	-5	2	0.333	9	16	25	0	0	3	3	3	0	94	30	41	23	0	110	35	53	76	9	4	44.44%	23	7	69.57%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	69	46	71	22	38	19
9	Devils	3	0	1	0	0	0	0	2	6	11	-5	1	0	0	0	0	0	0	1	2	3	-1	2	0	1	0	0	0	0	1	4	8	-4	2	0.333	6	11	17	0	0	3	1	2	3	113	43	28	38	17	93	25	30	60	15	2	13.33%	15	2	86.67%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	77	52	73	23	39	19
10	Ducks	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	12	21	33	0	0	5	4	3	0	74	25	26	23	0	60	13	20	47	12	5	41.67%	9	1	88.89%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	49	33	44	14	25	13
11	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	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	50	35	44	13	24	13
12	Flyers	2	1	0	0	1	0	0	0	10	5	5	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	1	0	0	0	10	5	5	4	1.000	10	17	27	0	0	2	3	4	1	50	15	16	18	1	63	18	26	36	11	3	27.27%	13	2	84.62%	1	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	45	28	48	15	27	13
13	GoldenKnights	2	1	0	0	0	1	0	0	5	5	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	5	9	14	0	0	2	3	0	0	62	13	26	23	0	65	16	29	39	8	0	0.00%	12	1	91.67%	1	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	50	35	45	14	23	11
14	Hurricanes	3	0	3	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	5	10	15	0	0	2	2	1	0	69	26	20	23	0	106	30	28	62	10	1	10.00%	12	4	66.67%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	62	41	77	22	39	18
15	Islanders	3	0	2	0	1	0	0	0	8	13	-5	1	0	0	0	1	0	0	0	4	3	1	2	0	2	0	0	0	0	0	4	10	-6	2	0.333	8	13	21	0	0	2	4	1	1	109	28	39	41	1	93	29	61	59	15	3	20.00%	15	6	60.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	72	50	71	22	40	20
16	Jets	2	0	1	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	4	8	12	0	0	1	1	2	0	52	17	17	18	0	53	14	31	49	5	1	20.00%	13	3	76.92%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	40	27	57	15	23	11
17	Kings	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	5	9	14	0	0	1	2	2	0	21	5	9	7	0	29	10	13	20	4	2	50.00%	4	1	75.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	21	13	23	7	14	7
18	Lightning	4	1	3	0	0	0	0	0	10	15	-5	2	0	2	0	0	0	0	0	4	10	-6	2	1	1	0	0	0	0	0	6	5	1	2	0.250	10	17	27	0	0	2	4	4	0	135	37	51	47	0	144	56	66	100	19	3	15.79%	30	7	76.67%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	94	66	96	28	49	23
19	Mammoth	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	3	2	1	1	71	11	22	32	6	62	15	26	38	9	2	22.22%	12	4	66.67%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	54	38	45	14	24	13
20	MapleLeafs	3	0	1	0	0	2	0	0	7	10	-3	2	0	0	0	0	2	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	7	12	19	0	0	3	2	2	0	108	41	24	43	0	94	30	32	71	13	2	15.38%	11	3	72.73%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	73	52	69	21	38	18
21	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	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	54	38	45	14	25	13
22	Panthers	4	0	2	0	0	0	1	1	10	17	-7	2	0	1	0	0	0	1	0	5	6	-1	2	0	1	0	0	0	0	1	5	11	-6	3	0.375	10	17	27	1	0	2	5	2	2	114	43	40	25	12	156	31	46	81	17	4	23.53%	23	3	86.96%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	91	63	108	30	50	24
23	Penguins	3	1	0	0	1	1	0	0	10	9	1	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	0	1	0	0	3	4	-1	5	0.833	10	18	28	0	0	1	4	4	1	95	38	26	29	2	97	22	68	57	12	2	16.67%	15	0	100.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	73	50	68	23	39	19
24	Predators	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	13	20	0	0	2	3	2	0	50	17	15	18	0	69	24	36	40	8	3	37.50%	7	0	100.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	42	28	53	15	24	11
25	Rangers	3	1	2	0	0	0	0	0	9	17	-8	1	0	1	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	6	11	-5	2	0.333	9	14	23	0	0	2	3	4	0	71	19	25	27	0	117	24	41	65	8	0	0.00%	16	5	68.75%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	64	43	75	23	39	18
26	RedWings	4	1	1	0	0	1	1	0	12	12	0	2	0	1	0	0	1	0	0	5	7	-2	2	1	0	0	0	0	1	0	7	5	2	5	0.625	12	19	31	0	0	6	2	3	1	86	37	21	25	8	137	55	64	88	14	4	28.57%	29	6	79.31%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	90	60	107	32	49	23
27	Sabres	4	0	3	0	1	0	0	0	10	14	-4	2	0	1	0	1	0	0	0	7	7	0	2	0	2	0	0	0	0	0	3	7	-4	2	0.250	10	20	30	0	0	4	1	4	1	113	40	37	35	1	106	42	57	100	19	3	15.79%	21	5	76.19%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	85	57	106	29	51	24
28	Sharks	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	10	15	0	0	1	2	2	0	71	23	30	18	0	49	13	25	44	12	1	8.33%	10	1	90.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	52	36	43	15	24	13
29	Stars	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	1	1	0	34	11	15	8	0	26	9	6	16	6	2	33.33%	3	0	100.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	23	16	23	8	12	6
30	Wild	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	14	21	0	0	1	2	4	0	74	26	22	26	0	54	19	12	35	10	1	10.00%	6	0	100.00%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	49	35	46	13	24	12
	Total	75	24	32	0	7	6	2	4	224	260	-36	36	10	14	0	5	4	1	2	106	120	-14	39	14	18	0	2	2	1	2	118	140	-22	76	0.507	224	399	623	1	1	72	75	68	13	2302	764	750	760	55	2418	705	1024	1597	325	69	21.23%	398	78	80.40%	2	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	1759	1211	1837	561	952	470
	_Since Last GM Reset	75	24	32	0	7	6	2	4	224	260	-36	36	10	14	0	5	4	1	2	106	120	-14	39	14	18	0	2	2	1	2	118	140	-22	76	0.507	224	399	623	1	1	72	75	68	13	2302	764	750	760	55	2418	705	1024	1597	325	69	21.23%	398	78	80.40%	2	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	1759	1211	1837	561	952	470
	_Vs Conference	48	8	26	0	5	4	2	3	134	182	-48	24	3	12	0	4	3	1	1	67	84	-17	24	5	14	0	1	1	1	2	67	98	-31	37	0.385	134	234	368	1	1	41	41	45	11	1426	501	434	471	44	1644	470	677	1051	199	39	19.60%	268	57	78.73%	1	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	1100	752	1205	361	613	297
	_Vs Division	25	4	13	0	2	3	2	1	69	89	-20	13	1	6	0	2	3	1	0	36	45	-9	12	3	7	0	0	0	1	1	33	44	-11	20	0.400	69	121	190	1	1	24	17	24	5	748	276	219	241	23	836	264	336	581	113	23	20.35%	143	27	81.12%	0	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	569	393	640	187	312	149

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
75	76	L1	224	399	623	2302	2418	705	1024	1597	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
75	24	32	7	6	2	4	224	260

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	10	14	5	4	1	2	106	120

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	14	18	2	2	1	2	118	140

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
325	69	21.23%	398	78	80.40%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
764	750	760	55	72	75	68	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1759	1211	1837	561	952	470

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	10	BlueJackets	3	Senators	2	BL			BoxScore
3	19	Senators	0	Sabres	3	AL			BoxScore
4	33	Senators	5	Rangers	4	AW			BoxScore
6	49	Lightning	5	Senators	2	BL			BoxScore
8	65	MapleLeafs	2	Senators	1	BL	X		BoxScore
10	80	Panthers	5	Senators	3	BL			BoxScore
12	92	Sabres	4	Senators	5	BW	X		BoxScore
15	112	Senators	3	Oilers	1	AW			BoxScore
17	126	Senators	4	Flames	3	AW	X		BoxScore
18	139	Senators	0	Canucks	3	AL			BoxScore
22	169	MapleLeafs	5	Senators	4	BL	X		BoxScore
24	186	Blues	2	Senators	3	BW			BoxScore
27	206	Senators	6	Flyers	2	AW			BoxScore
29	214	Senators	3	Bruins	6	AL			BoxScore
31	236	Islanders	3	Senators	4	BW	X		BoxScore
33	251	Senators	1	Islanders	4	AL			BoxScore
35	258	Senators	1	Panthers	6	AL			BoxScore
36	272	Senators	2	Lightning	4	AL			BoxScore
38	287	Oilers	2	Senators	1	BL	X	X	BoxScore
40	304	Senators	1	Capitals	6	AL			BoxScore
42	315	Flames	4	Senators	7	BW			BoxScore
44	331	BlueJackets	5	Senators	1	BL			BoxScore
45	337	Senators	3	Devils	4	AL	X	X	BoxScore
48	359	Senators	6	Blackhawks	4	AW			BoxScore
50	380	Senators	3	Jets	5	AL			BoxScore
52	388	Senators	3	RedWings	2	AW	X	X	BoxScore
54	405	Hurricanes	5	Senators	3	BL			BoxScore
57	428	Jets	2	Senators	1	BL	X		BoxScore
59	446	Ducks	4	Senators	8	BW			BoxScore
60	451	Senators	2	MapleLeafs	3	AL			BoxScore
64	479	RedWings	4	Senators	3	BL	X		BoxScore
65	490	Senators	3	Penguins	4	AL	X		BoxScore
71	511	Mammoth	3	Senators	4	BW	X		BoxScore
74	530	Senators	1	Blues	3	AL			BoxScore
75	534	Senators	1	Hurricanes	3	AL			BoxScore
77	549	Avalanche	1	Senators	2	BW			BoxScore
81	583	Senators	3	Sharks	1	AW			BoxScore
83	593	Senators	5	Kings	7	AL			BoxScore
84	602	Senators	4	Ducks	2	AW			BoxScore
87	624	Hurricanes	4	Senators	1	BL			BoxScore
88	632	Wild	3	Senators	5	BW			BoxScore
91	657	Canucks	6	Senators	1	BL			BoxScore
93	664	Senators	5	BlueJackets	7	AL			BoxScore
95	685	Capitals	1	Senators	5	BW			BoxScore
96	692	Senators	3	Islanders	6	AL			BoxScore
99	722	Capitals	4	Senators	3	BL			BoxScore
100	729	Senators	1	Devils	4	AL			BoxScore
104	759	Predators	2	Senators	3	BW			BoxScore
106	772	Senators	3	Canadiens	4	AL			BoxScore
107	780	Senators	4	RedWings	3	AW			BoxScore
110	804	Senators	4	Predators	3	AW			BoxScore
112	815	Bruins	4	Senators	5	BW	X		BoxScore
113	827	Penguins	4	Senators	5	BW	X		BoxScore
115	837	Canadiens	0	Senators	2	BW			BoxScore
117	852	Senators	4	Canadiens	3	AW			BoxScore
120	875	Sharks	6	Senators	2	BL			BoxScore
122	887	Rangers	6	Senators	3	BL			BoxScore
124	902	Senators	4	Flyers	3	AW	X		BoxScore
125	909	Senators	1	Rangers	7	AL			BoxScore
128	932	Senators	3	Stars	2	AW			BoxScore
129	948	Senators	2	Wild	1	AW			BoxScore
131	960	Panthers	1	Senators	2	BW	X	X	BoxScore
133	977	Penguins	1	Senators	2	BW			BoxScore
135	992	RedWings	3	Senators	2	BL			BoxScore
139	1015	Senators	4	Panthers	5	AL	X	X	BoxScore
140	1030	Senators	4	Lightning	1	AW			BoxScore
142	1043	GoldenKnights	1	Senators	2	BW			BoxScore
144	1053	Devils	3	Senators	2	BL	X	X	BoxScore
146	1065	Lightning	5	Senators	2	BL			BoxScore
147	1066	Senators	3	Sabres	4	AL			BoxScore
149	1089	Sabres	3	Senators	2	BL			BoxScore
151	1096	Senators	3	Mammoth	2	AW			BoxScore
153	1112	Senators	3	GoldenKnights	4	AL	X		BoxScore
155	1126	Senators	7	Avalanche	1	AW			BoxScore
158	1150	Bruins	4	Senators	3	BL			BoxScore
161	1164	Canadiens	-	Senators	-
166	1197	Stars	-	Senators	-
168	1212	Kings	-	Senators	-
Trade Deadline --- Trades can’t be done after this day is simulated!
170	1229	Flyers	-	Senators	-
172	1238	Senators	-	Bruins	-
174	1255	Senators	-	MapleLeafs	-
176	1264	Blackhawks	-	Senators	-

Depth Chart

Left Wing

Center

Right Wing

Morgan Geekie

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

AGE:26
SK:		79
EN:		74
DU:		76
PH:		54
PA:		50
SC:		57
DF:		70
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
Braeden Bowman (R)

AGE:22
SK:		83
EN:		77
DU:		67
PH:		47
PA:		47
SC:		47
DF:		55
Liam Foudy

AGE:25
SK:		76
EN:		79
DU:		69
PH:		51
PA:		49
SC:		53
DF:		50
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
Brayden Schenn

AGE:34
SK:		85
EN:		84
DU:		99
PH:		70
PA:		72
SC:		68
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
Cameron Hebig

AGE:28
SK:		80
EN:		76
DU:		66
PH:		54
PA:		46
SC:		62
DF:		70
Jake Lucchini

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

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

Vincent Trocheck

AGE:32
SK:		90
EN:		90
DU:		99
PH:		75
PA:		73
SC:		76
DF:		96
Patrick Kane

AGE:37
SK:		93
EN:		84
DU:		92
PH:		79
PA:		83
SC:		74
DF:		60
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
Sam Morton (R)

AGE:26
SK:		88
EN:		79
DU:		69
PH:		51
PA:		49
SC:		53
DF:		51
Alexander Nylander

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

Defense #1

Defense #2

Goalie

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
Michael Anderson

AGE:26
SK:		80
EN:		87
DU:		96
PH:		59
PA:		59
SC:		60
DF:		83
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
Drew Helleson

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

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

Nikita Novikov

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

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

AGE:25
SK:		82
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick
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 Mercuri	Senators	2034	156
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

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Senators Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	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 Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	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	132	70	48	4	0.892	3.28	7512	23	3	410	3796	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 Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	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
Regular Season
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	75	24	32	0	7	6	2	4	224	260	-36	36	10	14	0	5	4	1	2	106	120	-14	39	14	18	0	2	2	1	2	118	140	-22	76	224	399	623	1	1	72	75	68	13	2302	764	750	760	55	2418	705	1024	1597	325	69	21.23%	398	78	80.40%	2	1385	2602	53.23%	1461	2782	52.52%	649	1226	52.94%	1759	1211	1837	561	952	470
Total Regular Season	1715	617	818	0	58	53	89	80	5260	5759	-499	856	322	386	0	32	30	43	43	2681	2802	-121	859	295	432	0	26	23	46	37	2579	2957	-378	1568	5260	9059	14319	31	51	300	1753	1699	1398	52391	2591	16702	17539	15223	55504	16745	22432	39687	7788	1522	19.54%	8579	1827	78.70%	99	27463	57774	47.54%	27164	60799	44.68%	12816	27268	47.00%	39060	25613	41371	13694	23719	11732
Playoff
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 Playoff	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 Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	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 Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	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