Canadian Hockey League

Thunder
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Oilers 29-12-2, 60pts	2	FINAL	3	Kings 23-16-5, 51pts

Team Stats
W1	Streak	W5
14-5-1	Home Record	13-7-3
15-7-1	Away Record	10-9-2
6-3-1	Last 10 Games	9-1-0
3.51	Goals Per Game	4.05
2.72	Goals Against Per Game	3.55
21.70%	Power Play Percentage	29.39%
84.15%	Penalty Kill Percentage	81.38%

Kings
23-16-5, 51pts

FINAL

Sharks
11-30-4, 26pts

Team Stats
W5	Streak	L2
13-7-3	Home Record	5-16-2
10-9-2	Away Record	6-14-2
9-1-0	Last 10 Games	3-6-1
4.05	Goals Per Game	2.67
3.55	Goals Against Per Game	4.42
29.39%	Power Play Percentage	15.98%
81.38%	Penalty Kill Percentage	77.93%

Senators
27-15-1, 55pts

Day 95

Kings
23-16-5, 51pts

Team Stats
L2	Streak	W5
13-11-0	Home Record	13-7-3
14-4-1	Away Record	10-9-2
6-4-0	Last 10 Games	9-1-0
3.95	Goals Per Game	4.05
3.21	Goals Against Per Game	3.55
23.21%	Power Play Percentage	29.39%
82.50%	Penalty Kill Percentage	81.38%

Penguins
24-16-3, 51pts

Day 97

Kings
23-16-5, 51pts

Team Stats
OTL1	Streak	W5
12-10-1	Home Record	13-7-3
12-6-2	Away Record	10-9-2
3-5-2	Last 10 Games	9-1-0
3.30	Goals Per Game	4.05
2.79	Goals Against Per Game	3.55
18.05%	Power Play Percentage	29.39%
82.83%	Penalty Kill Percentage	81.38%

Kings
23-16-5, 51pts

Day 100

Wild
25-13-4, 54pts

Team Stats
W5	Streak	L2
13-7-3	Home Record	12-5-3
10-9-2	Away Record	13-8-1
9-1-0	Last 10 Games	7-3-0
4.05	Goals Per Game	3.98
3.55	Goals Against Per Game	3.24
29.39%	Power Play Percentage	20.52%
81.38%	Penalty Kill Percentage	81.28%

Team Leaders
	Goals Nathan MacKinnon 30	Assists Nathan MacKinnon 55

	Points Nathan MacKinnon 85	Plus/Minus Nathan MacKinnon 22

	Wins Filip Gustavsson 12	Save Percentage Karel Vejmelka 0.883

Team Stats
Goals For 178 4.05 GFG	Shots For 1380 31.36 Avg	Power Play Percentage 29.4% 67 GF	Offensive Zone Start 41.9%
Goals Against 156 3.55 GAA	Shots Against 1277 29.02 Avg	Penalty Kill Percentage 81.4% 35 GA	Defensive Zone Start 37.6%

Injury / Suspension
	Jacob Middleton is suspended for 1 more games.

Team Info
	General Manager	Steve St-Amand
	Coach	Patrick Roy
	Division	Pacific
	Conference	Western
	Captain	Nathan MacKinnon
	Assistant #1	Roman Josi
	Assistant #2	Jonathan Toews
Uniforms

Arena Info
	Name	The Sundown Center
	Capacity	25,000
	Attendance	21,137
	Season Tickets	10,000
Roster Info
	Pro Team	22
	Farm Team	28
	Contract Limit	50 / 50
	Prospects	37
Salary Cap
	Estimated Season Salary Cap	72,946,840$
	Available Salary Cap	12,053,160$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	40,779,320$
	Year To Date Expenses	39,716,666$
	Estimated Season Revenue	31,914,250$
	Estimated Season Expenses	35,230,188$
	Current Bank Account	78,650,850$
	Projected Bank Account	74,062,436$
Team History
	This Season	23-16-5 (51PTS)
	History	1003-487-120 (0.623%)
	Playoff Appearances	17
	Playoff Record (W-L)	112-85
	Stanley Cup	4

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	Nathan MacKinnon (C)	X				100.00	56	48	80	99	61	92	99	99	81	99	99	78	73	82	87	45	37	85	0	29	4	1$
2	Filip Forsberg		X			100.00	80	53	80	96	66	86	99	92	40	86	98	75	73	84	85	40	37	82	0	30	1	6,500,000$
3	John Tavares	X				100.00	79	52	83	88	69	84	98	78	94	77	80	66	65	92	88	20	37	76	0	34	3	9,500,000$
4	Kyle Palmieri			X		100.00	65	46	84	88	57	84	99	72	40	64	80	65	61	90	87	25	37	72	0	33	1	5,000,000$
5	Jake Evans	X				100.00	65	46	84	80	57	82	99	59	87	61	57	83	40	80	81	50	35	68	0	28	4	2,000,000$
6	Alex Iafallo		X			100.00	52	49	89	80	62	80	99	59	40	56	61	79	57	86	83	35	37	67	0	31	5	2,000,000$
7	Ryan McLeod			X		100.00	59	48	88	79	61	79	98	60	86	58	62	79	40	74	77	65	37	67	0	25	1	2,000,000$
8	Jonathan Toews (A)	X				100.00	44	55	74	84	66	60	50	69	98	65	73	69	87	96	78	10	37	67	0	36	2	3,000,000$
9	Kole Lind		X			100.00	58	44	71	83	56	78	68	64	40	70	50	70	73	76	77	60	37	65	0	26	2	1,000,000$
10	Michael Carcone		X			100.00	58	40	81	84	40	74	94	61	40	49	73	65	40	80	77	50	37	64	0	28	2	850,000$
11	Taylor Raddysh			X		100.00	67	51	84	75	66	81	93	53	40	50	56	78	40	76	79	60	20	64	0	26	3	2,000,000$
12	Trey Fix-Wolansky			X		100.00	63	41	86	80	47	73	51	56	40	47	65	70	40	74	74	65	37	61	0	25	1	1,210,000$
13	Roman Josi (A)				X	100.00	53	52	79	96	64	91	99	93	40	99	85	80	70	92	92	20	37	82	0	34	4	8,500,000$
14	Michael Matheson				X	100.00	57	49	76	89	63	92	99	79	40	91	67	83	73	84	88	40	37	77	0	30	1	4,000,000$
15	Noah Hanifin				X	100.00	58	53	84	84	71	89	98	72	40	75	70	91	73	78	84	55	36	77	0	27	1	4,500,000$
16	Cam York				X	100.00	62	47	79	83	58	87	99	63	40	60	65	84	40	70	79	75	37	72	0	23	1	925,000$
17	Torey Krug				X	100.00	59	44	82	86	52	86	96	67	40	77	56	73	58	90	88	25	37	72	0	33	2	7,000,000$
18	Johnathan Kovacevic				X	100.00	68	66	76	75	83	77	85	56	40	49	62	77	40	78	78	55	39	69	0	27	4	1,500,000$
Scratches
1	Victor Olofsson			X		100.00	50	43	88	81	50	74	78	57	40	53	61	63	70	82	78	45	28	62	0	29	2	5,000,000$
2	Jacob Middleton				X	S1	83	74	71	77	77	82	98	60	40	58	61	77	40	80	81	50	19	72	0	28	1	3,000,000$
Farm Team
1	Brendan Gallagher			X		100.00	59	44	71	84	47	77	96	62	40	56	67	65	58	88	83	30	31	65	0	32	5	850,000$
2	Tye Kartye		X			100.00	99	50	80	79	60	74	96	56	82	50	62	69	40	70	72	75	31	65	0	23	1	750,000$
3	Mark Kastelic	X				100.00	87	81	70	75	82	67	86	52	89	47	57	67	40	74	71	65	31	62	0	25	1	910,000$
4	Jesse Puljujarvi			X		100.00	83	53	85	75	70	70	58	52	40	44	61	68	40	76	73	60	31	60	0	26	5	850,000$
5	Matthew Phillips			X		100.00	46	38	90	81	40	72	64	52	40	51	53	67	40	76	74	60	31	58	0	26	1	910,000$
6	Colton Dach (R)		X			100.00	63	59	74	82	66	60	50	48	40	47	49	66	40	66	63	85	31	57	0	21	3	925,000$
7	Henrik Rybinski			X		100.00	62	53	82	75	58	61	51	38	40	37	38	70	40	70	66	75	31	53	0	23	2	925,000$
8	Xavier Bourgault			X		100.00	53	47	81	75	54	64	54	40	40	38	42	65	40	68	66	80	47	53	0	22	2	925,000$
9	Santeri Hatakka				X	100.00	67	47	83	76	59	74	51	52	40	54	50	79	40	70	72	75	31	64	0	23	1	925,000$
10	Olen Zellweger (R)				X	100.00	53	41	87	84	46	82	61	61	40	62	59	69	40	66	74	85	31	64	0	21	3	925,000$
11	Mitchell VandeSompel				X	100.00	60	57	87	75	52	55	50	38	40	32	43	65	40	78	67	55	48	57	0	27	2	600,000$
12	Kristian Vesalainen		X			100.00	72	53	88	75	71	60	50	47	40	42	50	50	40	74	67	65	20	54	0	25	1	1,342,000$
13	Jalen Luypen (R)		X			100.00	45	47	78	92	43	73	63	38	40	41	35	65	40	68	71	80	20	54	0	22	3	925,000$
14	Ben McCartney		X			100.00	56	58	61	75	61	60	50	45	40	49	41	59	40	70	65	75	20	53	0	23	1	925,000$
15	Jake Leschyshyn		X			100.00	77	46	75	75	59	60	50	42	40	39	44	57	40	74	67	65	20	53	0	25	1	1,210,000$
16	Jan Mysak	X				100.00	57	60	82	75	47	71	61	39	70	29	49	55	40	68	70	80	20	52	0	22	1	1,017,500$
17	Matvey Petrov (R)		X			100.00	52	39	77	83	65	62	52	36	40	28	44	60	40	66	64	85	20	52	0	21	3	925,000$
18	Tucker Robertson (R)		X			100.00	56	59	82	89	52	60	50	36	40	28	43	63	40	66	63	85	20	52	0	21	3	925,000$
19	Jaydon Dureau (R)		X			100.00	60	52	87	75	68	60	50	31	40	26	36	50	99	70	65	75	20	49	0	23	2	925,000$
20	Ethan Samson (R)				X	100.00	54	38	72	81	70	67	62	34	40	32	36	53	40	66	67	85	20	56	0	21	3	925,000$
21	Ryan O'Rourke				X	100.00	60	84	72	75	59	74	69	33	40	31	35	50	40	68	71	80	20	55	0	22	1	1,017,500$
22	Santtu Kinnunen				X	100.00	50	45	83	75	48	72	67	39	40	41	37	50	40	74	73	65	20	55	0	25	2	600,000$

	TEAM AVERAGE					100.00	62	51	80	81	60	74	75	56	49	54	57	68	50	76	75	59	31	63

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	Filip Gustavsson	100.00	87	85	88	86	74	73	73	73	72	73	91	76	75	60	38	75	0	26	1	4,250,000$
2	Karel Vejmelka	100.00	78	76	76	99	68	66	69	63	73	63	93	80	73	50	40	72	0	28	3	1,500,000$
Scratches
Farm Team
1	Devon Levi (R)	100.00	81	58	60	84	72	70	65	67	67	67	75	70	70	75	42	68	0	23	2	750,000$
2	Dustin Wolf	100.00	85	51	60	78	61	65	67	64	63	64	40	70	68	75	42	65	0	23	1	925,000$
3	Nico Daws	100.00	79	56	60	94	64	64	65	64	63	64	87	72	68	70	20	66	0	24	1	825,000$
4	Dennis Hildeby (R)	100.00	76	70	75	99	62	61	61	60	62	60	50	70	66	75	20	66	0	23	2	750,000$
5	Trent Miner (R)	100.00	87	50	60	88	63	64	61	61	62	61	50	70	67	75	20	65	0	23	2	750,000$
6	Gage Alexander (R)	100.00	75	50	60	97	50	50	50	50	50	50	40	68	59	80	20	57	0	22	2	925,000$

	TEAM AVERAGE	100.00	81	62	67	91	64	64	64	63	64	63	66	72	68	70	30	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Patrick Roy	94	82	78	98	89	86	52	CAN	59	1	2,000,000$

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	Nathan MacKinnon	Kings	C	44	30	55	85	22	10	0	24	119	222	51	163	13.51%	13	897	20.39	5	27	32	50	184	0	0	0	0	8	1	1	51.39%	1191	0	0	1.89	0	3	0	0	0	7	7	2
2	Filip Forsberg	Kings	LW	44	30	42	72	20	61	5	124	69	203	60	169	14.78%	9	856	19.47	10	16	26	55	180	0	0	0	0	0	3	1	47.06%	51	0	3	1.68	1	3	0	0	0	5	8	3
3	Roman Josi	Kings	D	44	22	41	63	5	14	0	57	58	128	39	91	17.19%	59	1048	23.84	14	17	31	88	181	0	1	1	1	155	2	2	0.00%	0	1	2	1.20	0	0	0	0	0	6	2	2
4	Michael Matheson	Kings	D	44	12	32	44	-8	34	0	66	57	77	28	62	15.58%	47	1023	23.25	10	11	21	55	185	0	0	0	1	143	2	1	0.00%	0	0	0	0.86	0	0	0	0	0	1	1	2
5	Noah Hanifin	Kings	D	44	17	25	42	7	39	5	68	52	92	26	72	18.48%	59	974	22.15	11	9	20	54	150	0	0	0	1	143	1	1	0.00%	0	2	1	0.86	0	0	0	0	1	1	2	3
6	John Tavares	Kings	C	44	14	22	36	-24	57	5	112	87	153	43	100	9.15%	6	807	18.35	5	11	16	40	158	0	0	0	0	0	3	1	60.40%	1000	0	0	0.89	0	2	0	1	0	1	2	1
7	Torey Krug	Kings	D	44	3	32	35	-5	4	0	24	35	52	26	34	5.77%	49	798	18.15	2	13	15	35	154	0	0	0	0	43	1	0	0.00%	0	0	0	0.88	0	0	0	0	0	0	1	1
8	Kyle Palmieri	Kings	RW	44	10	12	22	20	10	0	51	26	52	15	45	19.23%	3	850	19.34	4	4	8	12	184	0	0	0	0	0	2	0	26.23%	61	0	0	0.52	0	1	0	0	0	0	0	2
9	Kole Lind	Kings	LW	44	3	15	18	-24	16	0	27	43	64	18	45	4.69%	5	825	18.76	0	9	9	10	157	0	0	0	0	31	0	0	33.75%	80	0	0	0.44	0	0	0	0	0	0	0	1
10	Michael Carcone	Kings	LW	44	10	5	15	0	2	0	19	7	49	16	24	20.41%	3	396	9.01	6	3	9	27	156	0	0	0	0	4	1	0	48.39%	31	0	0	0.76	0	0	0	0	0	0	1	1
11	Alex Iafallo	Kings	LW	44	7	4	11	-10	16	0	13	30	48	13	42	14.58%	8	580	13.20	0	0	0	0	0	0	0	0	0	148	3	0	33.33%	45	0	0	0.38	0	0	0	0	0	1	0	0
12	Jacob Middleton	Kings	D	41	1	10	11	-8	96	20	105	18	20	6	18	5.00%	39	566	13.82	0	0	0	0	5	0	0	0	0	5	0	0	0.00%	0	0	0	0.39	0	0	1	2	1	0	1	0
13	Jonathan Toews	Kings	C	44	6	5	11	2	4	0	8	34	38	7	20	15.79%	2	245	5.59	0	1	1	0	2	0	0	0	0	0	0	0	59.29%	280	0	0	0.89	0	0	0	0	0	0	0	0
14	Jake Evans	Kings	C	44	4	6	10	-8	45	5	54	57	52	9	45	7.69%	13	583	13.26	0	0	0	0	7	0	0	0	0	142	1	0	48.80%	666	0	0	0.34	0	0	0	0	0	0	0	2
15	Ryan McLeod	Kings	RW	44	6	4	10	-21	6	0	21	61	56	16	25	10.71%	13	782	17.79	0	0	0	0	0	1	0	1	4	148	2	0	52.96%	270	0	0	0.26	0	0	0	0	0	0	0	2
16	Cam York	Kings	D	44	1	6	7	-10	38	0	76	33	42	12	18	2.38%	74	850	19.32	0	0	0	0	11	0	0	0	4	141	0	0	0.00%	0	0	0	0.16	0	0	0	0	0	0	0	1
17	Johnathan Kovacevic	Kings	D	3	0	2	2	3	2	0	4	1	2	1	4	0.00%	0	38	12.82	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	1.04	0	0	0	0	0	0	0	1
18	Trey Fix-Wolansky	Kings	RW	44	0	2	2	1	16	0	20	13	16	4	11	0.00%	0	225	5.12	0	0	0	0	0	0	0	0	0	0	0	0	23.81%	21	0	0	0.18	0	0	0	0	0	0	0	0
19	Victor Olofsson	Kings	RW	31	1	0	1	-5	4	0	11	15	11	7	17	9.09%	3	396	12.80	0	0	0	0	0	0	0	0	0	100	0	0	34.78%	23	0	0	0.05	0	0	0	0	0	0	0	0
20	Taylor Raddysh	Kings	RW	13	0	0	0	-2	6	0	13	6	3	3	6	0.00%	1	149	11.49	0	0	0	0	0	0	0	0	0	37	0	0	30.00%	10	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				792	177	320	497	-45	480	40	897	821	1380	400	1011	12.83%	406	12899	16.29	67	121	188	426	1723	1	1	2	11	1254	22	7	52.64%	3729	3	6	0.77	1	9	1	3	2	22	25	24

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	EG	PS %	PSA	ST	BG
1	Filip Gustavsson	Kings	24	12	9	2	0.878	3.46	1300	2	0	75	615	2	0	0.857	7	22	22
2	Karel Vejmelka	Kings	24	11	7	3	0.883	3.41	1356	0	2	77	660	1	2	0.667	3	22	22
Team Total or Average			48	23	16	5	0.881	3.43	2656	2	2	152	1275	3	2	0.800	10	44	44

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	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	2043	Link
Alex Iafallo	Kings	LW	31	1993-12-21	No	201 Lbs	6 ft0	Yes	No	No	5	Pro & Farm	2,000,000$	2,000,000$	949,153$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA	Link / NHL Link
Cam York	Kings	D	23	2001-01-05	No	194 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	438,983$	No	RFA					Link / NHL Link
Filip Forsberg	Kings	LW	30	1994-08-13	No	205 Lbs	6 ft1	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	3,084,746$	No	UFA					Link / NHL Link
Filip Gustavsson	Kings	G	26	1998-06-07	No	185 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	4,250,000$	4,250,000$	2,016,949$	No	RFA					Link / NHL Link
Jacob Middleton	Kings	D	28	1996-01-02	No	219 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	1,423,729$	No	UFA					Link / NHL Link
Jake Evans	Kings	C	28	1996-06-02	No	187 Lbs	6 ft1	No	No	No	4	Pro & Farm	2,000,000$	2,000,000$	949,153$	No	2,000,000$	2,000,000$	2,000,000$	UFA		Link / NHL Link
John Tavares	Kings	C	34	1990-09-20	No	211 Lbs	6 ft1	No	No	Yes	3	Pro Only	9,500,000$	9,500,000$	4,508,475$	No	9,500,000$	9,500,000$	UFA			Link / NHL Link
Johnathan Kovacevic	Kings	D	27	1997-07-12	No	223 Lbs	6 ft5	No	No	No	4	Pro & Farm	1,500,000$	1,500,000$	711,864$	No	1,500,000$	1,500,000$	1,500,000$	UFA		Link / NHL Link
Jonathan Toews	Kings	C	36	1988-04-29	No	201 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	1,423,729$	No	3,000,000$	UFA				Link / NHL Link
Karel Vejmelka	Kings	G	28	1996-05-25	No	224 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	711,864$	No	1,500,000$	1,500,000$	UFA			Link / NHL Link
Kole Lind	Kings	LW	26	1998-10-16	No	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	474,576$	No	1,000,000$	UFA				Link / NHL Link
Kyle Palmieri	Kings	RW	33	1991-02-01	No	196 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	2,372,881$	No	UFA					Link / NHL Link
Michael Carcone	Kings	LW	28	1996-05-19	No	170 Lbs	5 ft9	Yes	No	No	2	Pro & Farm	850,000$	850,000$	403,390$	No	850,000$	UFA				Link / NHL Link
Michael Matheson	Kings	D	30	1994-02-27	No	196 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	1,898,305$	No	UFA					Link / NHL Link
Nathan MacKinnon	Kings	C	29	1995-09-01	No	200 Lbs	6 ft0	Yes	No	Yes	4	Pro Only	1$	1$	0$	No	11,000,000$	11,000,000$	11,000,000$	UFA		Link / NHL Link
Noah Hanifin	Kings	D	27	1997-01-25	No	207 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	2,135,593$	No	UFA					Link / NHL Link
Roman Josi	Kings	D	34	1990-06-01	No	201 Lbs	6 ft1	No	No	Yes	4	Pro Only	8,500,000$	8,500,000$	4,033,898$	No	8,500,000$	8,500,000$	8,500,000$	UFA		Link / NHL Link
Ryan McLeod	Kings	RW	25	1999-09-21	No	188 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	949,153$	No	RFA					Link / NHL Link
Taylor Raddysh	Kings	RW	26	1998-02-18	No	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	949,153$	No	2,000,000$	2,000,000$	UFA			Link / NHL Link
Torey Krug	Kings	D	33	1991-04-12	No	194 Lbs	5 ft9	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	3,322,034$	No	7,000,000$	UFA				Link / NHL Link
Trey Fix-Wolansky	Kings	RW	25	1999-05-26	No	191 Lbs	5 ft7	No	No	No	1	Pro & Farm	1,210,000$	1,210,000$	574,237$	No	RFA					Link / NHL Link
Victor Olofsson	Kings	RW	29	1995-07-18	No	182 Lbs	5 ft11	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	2,372,881$	No	5,000,000$	UFA				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.91	198 Lbs	6 ft1	2.23	3,419,773$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
75,235,001$	54,850,000$	38,000,000$	25,000,000$	2,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon	Kyle Palmieri	35	0	1	4
2	Kole Lind	John Tavares	Ryan McLeod	35	0	2	3
3	Alex Iafallo	Jake Evans	Taylor Raddysh	20	0	3	2
4	Michael Carcone	Jonathan Toews	Trey Fix-Wolansky	10	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Noah Hanifin	35	0	2	3
2	Michael Matheson	Cam York	35	0	2	3
3	Johnathan Kovacevic	Torey Krug	30	0	2	3
4	Roman Josi	Noah Hanifin	0	0	2	3

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon	Kyle Palmieri	60	0	1	4
2	Michael Carcone	John Tavares	Kole Lind	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Michael Matheson	60	0	1	4
2	Noah Hanifin	Torey Krug	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jake Evans	Alex Iafallo	50	0	4	1
2	Ryan McLeod	Taylor Raddysh	50	0	4	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Noah Hanifin	50	0	4	1
2	Michael Matheson	Cam York	50	0	4	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jake Evans	50	0	5	0	Roman Josi	Noah Hanifin	50	0	5	0
2	Ryan McLeod	50	0	5	0	Michael Matheson	Cam York	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Filip Forsberg	60	0	2	3
2	John Tavares	Kyle Palmieri	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Noah Hanifin	60	0	2	3
2	Michael Matheson	Cam York	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Filip Forsberg	Nathan MacKinnon	Kyle Palmieri	Roman Josi	Noah Hanifin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jake Evans	Nathan MacKinnon	Ryan McLeod	Roman Josi	Noah Hanifin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jake Evans, Jonathan Toews, Kole Lind	Jake Evans, Jonathan Toews	Kole Lind

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cam York, Torey Krug, Michael Matheson	Cam York	Torey Krug, Michael Matheson

Penalty Shots
Nathan MacKinnon, Filip Forsberg, John Tavares, Kyle Palmieri, Kole Lind

Goalie
#1 : Karel Vejmelka, #2 : Filip Gustavsson

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	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	7	4	3	2	0.500	9	17	26	0	0	5	2	2	0	62	21	12	29	0	52	19	10	42	7	2	28.57%	4	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	52	36	41	13	26	13
2	Blackhawks	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	14	21	0	0	3	2	2	0	33	9	8	16	0	18	7	11	16	5	2	40.00%	2	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	28	21	18	6	12	6
3	BlueJacket	2	1	1	0	0	0	0	0	10	13	-3	1	1	0	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	10	18	28	0	0	4	3	3	0	60	22	16	22	0	86	22	26	29	14	6	42.86%	12	5	58.33%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	44	31	52	14	22	11
4	Blues	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	4	5	-1	1	0.500	4	8	12	0	0	1	1	2	0	32	11	7	12	6	43	23	8	12	6	1	16.67%	4	1	75.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	24	16	27	8	13	6
5	Canadiens	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	2	1	1	0	29	13	10	6	0	39	13	6	29	5	1	20.00%	3	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	23	16	25	6	11	5
6	Canucks	2	1	1	0	0	0	0	0	8	4	4	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	0	5	2	0.500	8	12	20	0	1	3	3	2	0	65	22	26	17	0	47	8	12	45	11	1	9.09%	6	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	51	36	41	14	27	14
7	Coyotes	2	2	0	0	0	0	0	0	9	4	5	2	2	0	0	0	0	0	0	9	4	5	0	0	0	0	0	0	0	0	0	0	0	4	1.000	9	15	24	0	0	4	3	2	0	72	28	17	27	0	49	8	17	39	11	4	36.36%	5	2	60.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	57	42	37	13	24	13
8	Devils	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	1	2	1	0	29	5	15	9	0	20	6	8	21	5	1	20.00%	4	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	24	17	23	6	11	6
9	Ducks	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	3	0	0	28	8	11	9	0	24	5	8	21	4	2	50.00%	3	1	66.67%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	24	17	23	7	12	5
10	Flames	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	0	6	4	1.000	12	22	34	0	1	5	3	4	0	67	18	29	20	0	56	19	26	43	5	4	80.00%	12	2	83.33%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	55	38	39	15	25	13
11	Flyers	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	0	1	4	0	30	7	8	15	0	28	7	12	21	5	1	20.00%	6	1	83.33%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	25	17	21	7	13	6
12	GoldenKnights	4	2	1	0	1	0	0	0	19	15	4	2	1	0	0	1	0	0	0	11	8	3	2	1	1	0	0	0	0	0	8	7	1	6	0.750	19	37	56	1	0	9	4	5	1	132	51	44	33	4	119	47	51	86	20	8	40.00%	17	2	88.24%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	98	67	95	29	48	26
13	Hurricanes	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	1	2	1	0	47	16	14	17	0	23	4	4	16	7	2	28.57%	2	2	0.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	25	18	21	7	12	6
14	Islanders	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	3	0	1	0	29	9	12	8	0	20	5	4	18	7	2	28.57%	2	1	50.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	27	19	20	6	12	6
15	Jets	2	1	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	8	4	4	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	10	18	28	0	0	2	5	3	0	79	31	20	28	0	68	34	20	39	10	3	30.00%	8	3	62.50%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	54	39	41	14	24	14
16	Lightning	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	1	1	3	0	28	11	3	14	0	25	5	14	24	3	1	33.33%	7	2	71.43%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	26	19	19	7	13	6
17	MapleLeafs	2	0	1	0	0	1	0	0	4	8	-4	1	0	1	0	0	0	0	0	0	3	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	4	8	12	0	0	1	2	1	0	48	14	16	18	0	52	12	19	48	6	2	33.33%	7	2	71.43%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	51	35	47	14	25	13
18	Oilers	3	1	1	0	0	0	0	1	5	8	-3	2	1	0	0	0	0	0	1	5	5	0	1	0	1	0	0	0	0	0	0	3	-3	3	0.500	5	8	13	0	0	5	0	0	0	72	29	24	18	4	68	20	39	48	20	3	15.00%	11	3	72.73%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	77	52	67	22	40	20
19	Penguins	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	2	2	1	0	42	16	11	15	0	25	8	25	19	10	4	40.00%	6	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	26	18	21	7	12	5
20	Predators	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	1	1	0	29	6	9	14	0	27	13	10	25	9	2	22.22%	5	2	60.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	23	15	22	8	14	7
21	Rangers	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	2	0	2	0	30	15	10	5	0	33	3	14	30	5	1	20.00%	7	1	85.71%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	27	18	22	6	12	6
22	RedWings	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	11	17	0	0	2	2	2	0	59	28	19	12	0	57	16	16	40	16	3	18.75%	8	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	48	33	47	14	23	12
23	Sabres	2	0	1	0	0	0	1	0	6	7	-1	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	8	14	0	0	2	2	1	1	54	21	11	21	3	64	13	28	39	6	1	16.67%	13	1	92.31%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	47	32	51	15	25	12
24	Senators	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	0	1	3	0	39	10	8	21	0	44	23	12	23	4	1	25.00%	5	0	100.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	23	16	23	7	12	6
25	Sharks	3	2	0	0	0	1	0	0	12	8	4	1	0	0	0	0	1	0	0	3	4	-1	2	2	0	0	0	0	0	0	9	4	5	5	0.833	12	22	34	0	0	7	5	0	0	99	36	38	25	0	88	31	35	66	12	2	16.67%	15	2	86.67%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	73	50	68	23	39	19
26	Stars	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	12	18	0	0	3	2	1	0	40	14	14	12	0	34	12	19	17	10	5	50.00%	2	1	50.00%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	27	20	20	6	11	5
27	Wild	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	9	15	1	0	2	3	1	0	46	13	16	17	0	68	23	28	41	5	2	40.00%	12	1	91.67%	0	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	42	27	52	15	25	10
	Total	44	21	16	0	1	3	1	2	178	156	22	23	11	7	0	1	2	1	1	95	80	15	21	10	9	0	0	1	0	1	83	76	7	51	0.580	178	320	498	2	2	71	56	49	2	1380	484	428	460	17	1277	406	482	897	228	67	29.39%	188	35	81.38%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	1114	777	994	321	555	285
	_Since Last GM Reset	44	21	16	0	1	3	1	2	178	156	22	23	11	7	0	1	2	1	1	95	80	15	21	10	9	0	0	1	0	1	83	76	7	51	0.580	178	320	498	2	2	71	56	49	2	1380	484	428	460	17	1277	406	482	897	228	67	29.39%	188	35	81.38%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	1114	777	994	321	555	285
	_Vs Conference	27	15	8	0	1	1	0	2	113	83	30	13	7	3	0	1	1	0	1	53	40	13	14	8	5	0	0	0	0	1	60	43	17	35	0.648	113	205	318	2	2	50	37	25	1	856	297	275	277	14	761	269	294	540	135	41	30.37%	106	20	81.13%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	690	482	597	198	346	178
	_Vs Division	17	11	3	0	1	1	0	1	69	44	25	10	6	1	0	1	1	0	1	41	30	11	7	5	2	0	0	0	0	0	28	14	14	26	0.765	69	123	192	1	2	34	21	13	1	535	192	189	149	8	451	138	188	348	83	24	28.92%	69	12	82.61%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	437	304	373	125	217	113

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
44	51	W5	178	320	498	1380	1277	406	482	897	2	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
44	21	16	1	3	1	2	178	156

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	11	7	1	2	1	1	95	80

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	10	9	0	1	0	1	83	76

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
228	67	29.39%	188	35	81.38%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
484	428	460	17	71	56	49	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
833	1555	53.57%	748	1396	53.58%	382	757	50.46%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1114	777	994	321	555	285

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
3	16	Sharks	4	Kings	3	BL	X		BoxScore
5	31	RedWings	1	Kings	4	BW			BoxScore
7	41	Kings	2	Jets	6	AL			BoxScore
9	50	Kings	4	Canadiens	3	AW			BoxScore
10	67	Kings	4	Senators	5	AL			BoxScore
12	77	Kings	4	MapleLeafs	5	AL	X		BoxScore
15	93	Islanders	3	Kings	4	BW			BoxScore
17	106	Sabres	3	Kings	4	BW	X	X	BoxScore
20	124	Kings	6	Stars	3	AW			BoxScore
22	141	Kings	4	Wild	6	AL			BoxScore
25	163	Rangers	5	Kings	4	BL	X		BoxScore
29	184	Flyers	6	Kings	5	BL			BoxScore
31	198	BlueJacket	6	Kings	8	BW			BoxScore
34	217	Ducks	2	Kings	4	BW			BoxScore
36	231	Wild	3	Kings	2	BL			BoxScore
38	248	Flames	3	Kings	6	BW			BoxScore
41	267	MapleLeafs	3	Kings	0	BL			BoxScore
44	287	Kings	7	Blackhawks	2	AW			BoxScore
45	297	Kings	2	Predators	3	AL			BoxScore
47	314	Kings	4	Blues	5	AL	X	X	BoxScore
49	324	Avalanche	3	Kings	2	BL			BoxScore
51	350	Canucks	4	Kings	3	BL			BoxScore
52	359	Oilers	3	Kings	2	BL	X	X	BoxScore
54	375	Kings	5	Canucks	0	AW			BoxScore
56	384	Kings	0	Oilers	3	AL			BoxScore
57	391	Kings	6	Flames	0	AW			BoxScore
59	409	Hurricanes	5	Kings	4	BL			BoxScore
61	420	Coyotes	3	Kings	4	BW			BoxScore
63	432	Devils	5	Kings	4	BL			BoxScore
65	451	GoldenKnights	2	Kings	4	BW			BoxScore
67	461	Kings	2	RedWings	6	AL			BoxScore
68	466	Kings	2	Sabres	4	AL			BoxScore
70	480	Kings	2	BlueJacket	7	AL			BoxScore
72	502	Kings	5	Penguins	3	AW			BoxScore
75	522	Jets	4	Kings	8	BW			BoxScore
79	555	Kings	4	Sharks	2	AW			BoxScore
80	566	Kings	3	GoldenKnights	5	AL			BoxScore
81	570	Coyotes	1	Kings	5	BW			BoxScore
83	590	GoldenKnights	6	Kings	7	BW	X		BoxScore
85	604	Kings	7	Avalanche	4	AW			BoxScore
86	614	Kings	5	GoldenKnights	2	AW			BoxScore
88	623	Lightning	3	Kings	5	BW			BoxScore
90	638	Oilers	2	Kings	3	BW			BoxScore
92	655	Kings	5	Sharks	2	AW			BoxScore
95	674	Senators	-	Kings	-
97	691	Penguins	-	Kings	-
100	714	Kings	-	Wild	-
102	727	Kings	-	Stars	-
104	741	Kings	-	Avalanche	-
106	758	Blues	-	Kings	-
114	795	Kings	-	Islanders	-
116	806	Kings	-	Rangers	-
117	815	Kings	-	Devils	-
119	834	Kings	-	Flyers	-
121	839	Kings	-	Bruins	-
123	862	Kings	-	Capitals	-
126	882	Canucks	-	Kings	-
128	896	Bruins	-	Kings	-
130	914	Capitals	-	Kings	-
133	934	Kings	-	Predators	-
135	949	Kings	-	Panthers	-
137	965	Kings	-	Lightning	-
138	970	Kings	-	Hurricanes	-
140	987	Stars	-	Kings	-
142	1004	Blackhawks	-	Kings	-
145	1023	Canadiens	-	Kings	-
147	1039	Blues	-	Kings	-
149	1048	Kings	-	Coyotes	-
150	1060	Kings	-	Ducks	-
154	1086	Predators	-	Kings	-
156	1103	Panthers	-	Kings	-
158	1119	Jets	-	Kings	-
161	1142	Sharks	-	Kings	-
163	1155	Ducks	-	Kings	-
165	1169	Kings	-	Flames	-
166	1180	Kings	-	Oilers	-
168	1195	Kings	-	Canucks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
170	1206	Blackhawks	-	Kings	-
172	1223	Flames	-	Kings	-
173	1229	Kings	-	Coyotes	-
176	1254	Kings	-	Ducks	-
177	1263	GoldenKnights	-	Kings	-

Depth Chart

Left Wing

Center

Right Wing

Filip Forsberg

AGE:30
SK:		96
EN:		86
DU:		99
PH:		92
PA:		86
SC:		98
DF:		75
Alex Iafallo

AGE:31
SK:		80
EN:		80
DU:		99
PH:		59
PA:		56
SC:		61
DF:		79
Tye Kartye

AGE:23
SK:		79
EN:		74
DU:		96
PH:		56
PA:		50
SC:		62
DF:		69
Kole Lind

AGE:26
SK:		83
EN:		78
DU:		68
PH:		64
PA:		70
SC:		50
DF:		70
Michael Carcone

AGE:28
SK:		84
EN:		74
DU:		94
PH:		61
PA:		49
SC:		73
DF:		65
Colton Dach (R)

AGE:21
SK:		82
EN:		60
DU:		50
PH:		48
PA:		47
SC:		49
DF:		66
Jalen Luypen (R)

AGE:22
SK:		92
EN:		73
DU:		63
PH:		38
PA:		41
SC:		35
DF:		65
Kristian Vesalainen

AGE:25
SK:		75
EN:		60
DU:		50
PH:		47
PA:		42
SC:		50
DF:		50
Ben McCartney

AGE:23
SK:		75
EN:		60
DU:		50
PH:		45
PA:		49
SC:		41
DF:		59
Jake Leschyshyn

AGE:25
SK:		75
EN:		60
DU:		50
PH:		42
PA:		39
SC:		44
DF:		57
Matvey Petrov (R)

AGE:21
SK:		83
EN:		62
DU:		52
PH:		36
PA:		28
SC:		44
DF:		60
Tucker Robertson (R)

AGE:21
SK:		89
EN:		60
DU:		50
PH:		36
PA:		28
SC:		43
DF:		63
Jaydon Dureau (R)

AGE:23
SK:		75
EN:		60
DU:		50
PH:		31
PA:		26
SC:		36
DF:		50

Nathan MacKinnon

AGE:29
SK:		99
EN:		92
DU:		99
PH:		99
PA:		99
SC:		99
DF:		78
John Tavares

AGE:34
SK:		88
EN:		84
DU:		98
PH:		78
PA:		77
SC:		80
DF:		66
Jake Evans

AGE:28
SK:		80
EN:		82
DU:		99
PH:		59
PA:		61
SC:		57
DF:		83
Jonathan Toews

AGE:36
SK:		84
EN:		60
DU:		50
PH:		69
PA:		65
SC:		73
DF:		69
Mark Kastelic

AGE:25
SK:		75
EN:		67
DU:		86
PH:		52
PA:		47
SC:		57
DF:		67
Jan Mysak

AGE:22
SK:		75
EN:		71
DU:		61
PH:		39
PA:		29
SC:		49
DF:		55

Kyle Palmieri

AGE:33
SK:		88
EN:		84
DU:		99
PH:		72
PA:		64
SC:		80
DF:		65
Ryan McLeod

AGE:25
SK:		79
EN:		79
DU:		98
PH:		60
PA:		58
SC:		62
DF:		79
Brendan Gallagher

AGE:32
SK:		84
EN:		77
DU:		96
PH:		62
PA:		56
SC:		67
DF:		65
Taylor Raddysh

AGE:26
SK:		75
EN:		81
DU:		93
PH:		53
PA:		50
SC:		56
DF:		78
Victor Olofsson

AGE:29
SK:		81
EN:		74
DU:		78
PH:		57
PA:		53
SC:		61
DF:		63
Trey Fix-Wolansky

AGE:25
SK:		80
EN:		73
DU:		51
PH:		56
PA:		47
SC:		65
DF:		70
Jesse Puljujarvi

AGE:26
SK:		75
EN:		70
DU:		58
PH:		52
PA:		44
SC:		61
DF:		68
Matthew Phillips

AGE:26
SK:		81
EN:		72
DU:		64
PH:		52
PA:		51
SC:		53
DF:		67
Xavier Bourgault

AGE:22
SK:		75
EN:		64
DU:		54
PH:		40
PA:		38
SC:		42
DF:		65
Henrik Rybinski

AGE:23
SK:		75
EN:		61
DU:		51
PH:		38
PA:		37
SC:		38
DF:		70

Defense #1

Defense #2

Goalie

Roman Josi

AGE:34
SK:		96
EN:		91
DU:		99
PH:		93
PA:		99
SC:		85
DF:		80
Noah Hanifin

AGE:27
SK:		84
EN:		89
DU:		98
PH:		72
PA:		75
SC:		70
DF:		91
Michael Matheson

AGE:30
SK:		89
EN:		92
DU:		99
PH:		79
PA:		91
SC:		67
DF:		83
Cam York

AGE:23
SK:		83
EN:		87
DU:		99
PH:		63
PA:		60
SC:		65
DF:		84
Jacob Middleton

AGE:28
SK:		77
EN:		82
DU:		98
PH:		60
PA:		58
SC:		61
DF:		77
Torey Krug

AGE:33
SK:		86
EN:		86
DU:		96
PH:		67
PA:		77
SC:		56
DF:		73
Johnathan Kovacevic

AGE:27
SK:		75
EN:		77
DU:		85
PH:		56
PA:		49
SC:		62
DF:		77

Olen Zellweger (R)

AGE:21
SK:		84
EN:		82
DU:		61
PH:		61
PA:		62
SC:		59
DF:		69
Santeri Hatakka

AGE:23
SK:		76
EN:		74
DU:		51
PH:		52
PA:		54
SC:		50
DF:		79
Mitchell VandeSompel

AGE:27
SK:		75
EN:		55
DU:		50
PH:		38
PA:		32
SC:		43
DF:		65
Ethan Samson (R)

AGE:21
SK:		81
EN:		67
DU:		62
PH:		34
PA:		32
SC:		36
DF:		53
Ryan O'Rourke

AGE:22
SK:		75
EN:		74
DU:		69
PH:		33
PA:		31
SC:		35
DF:		50
Santtu Kinnunen

AGE:25
SK:		75
EN:		72
DU:		67
PH:		39
PA:		41
SC:		37
DF:		50

Filip Gustavsson

AGE:26
SK:		87
AG:		74
RB:		73
SC:		73
HS:		73
RT:		72
DF:		73
Karel Vejmelka

AGE:28
SK:		78
AG:		68
RB:		66
SC:		69
HS:		63
RT:		73
DF:		63
Devon Levi (R)

AGE:23
SK:		81
AG:		72
RB:		70
SC:		65
HS:		67
RT:		67
DF:		67
Dennis Hildeby (R)

AGE:23
SK:		76
AG:		62
RB:		61
SC:		61
HS:		60
RT:		62
DF:		60
Nico Daws

AGE:24
SK:		79
AG:		64
RB:		64
SC:		65
HS:		64
RT:		63
DF:		64
Dustin Wolf

AGE:23
SK:		85
AG:		61
RB:		65
SC:		67
HS:		64
RT:		63
DF:		64
Trent Miner (R)

AGE:23
SK:		87
AG:		63
RB:		64
SC:		61
HS:		61
RT:		62
DF:		61
Gage Alexander (R)

AGE:22
SK:		75
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
Alex Cotton	Kings	2034	120
Alexandre Blais	Kings	2038	86
Andrey Krutov	Kings	2038	210
Anton Andersson	Kings	2031	173
Brandon Saigeon	Kings	2032	120
Brayden Yager	Kings	2037	14
Chase Clark	Kings	2035	206
Cole Knuble	Kings	2037	107
Daniil Sobolev	Kings	2035	171
Felix Unger Sorum	Kings	2037	76
Hudson Malinoski	Kings	2037	138
Hugo Gabrielson	Kings	2035	186
Jakov Novak	Kings	2032	210
James Reeder	Kings	2038	117
Joel Ratkovic Berndtsson	Kings	2036	175
Jordan Dumais	Kings	2036	51
Josh Pillar	Kings	2035	124
Justin Poirier	Kings	2038	55
Liam Greentree	Kings	2038	24
Lucas Forsell	Kings	2035	180
Mac Swanson	Kings	2038	179
Melvin Fernstrom	Kings	2038	68
Mikael Hakkarainen	Kings	2032	139
Nate Misskey	Kings	2038	148
Nick Malik	Kings	2036	144
Owen Pickering	Kings	2036	20
Ryan Conmy	Kings	2037	169
Ryan Mast	Kings	2035	175
Ryan Mccleary	Kings	2035	217
Simon Knak	Kings	2035	138
Toni Utunen	Kings	2032	150
Tyson Galloway	Kings	2035	174
Vyacheslav Peksa	Kings	2035	207
William Von Barnekow Lofberg	Kings	2035	176
Yegor Yegorov	Kings	2037	200
Yevgeni Oksentyuk	Kings	2034	89
Zach Fischer	Kings	2031	83

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

Kings 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	Jonathan Toews	1450	713	963	1676	345	654	1274	4343	5837	12.22%	546	31224	21.53	211	383	594	1497	21	15	36	165	117	42	56.39%	32	1.07	24	100
2	John Tavares	1517	689	974	1663	343	454	1085	3506	5597	12.31%	222	28362	18.70	189	373	562	1424	4	0	4	34	115	35	55.14%	19	1.17	34	92
3	Nathan MacKinnon	1028	524	732	1256	412	408	868	1957	4104	12.77%	178	19803	19.26	133	304	437	1105	1	2	3	15	85	29	51.62%	19	1.27	8	46
4	PK Subban	1040	202	769	971	267	1335	2378	1372	2413	8.37%	1166	24718	23.77	141	285	426	1495	1	7	8	20	23	7	0.00%	0	0.79	0	0
5	Filip Forsberg	743	353	440	793	318	778	1772	1091	2814	12.54%	168	15501	20.86	110	155	265	834	7	3	10	53	43	20	36.49%	11	1.02	12	36

Kings 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	Carey Price	886	554	262	53	0.903	2.82	51819	72	46	2434	25178	1735	58	9	0.775	240
2	Anton Khudobin	164	106	45	3	0.908	2.68	9508	2	7	424	4605	0	8	2	0.867	60
3	Filip Gustavsson	111	70	23	11	0.907	2.60	6170	10	12	267	2877	0	6	0	0.826	23
4	Chris Mason	117	50	43	12	0.906	3.01	6547	19	3	328	3491	1480	9	2	0.778	54
5	Simeon Varlamov	91	50	18	9	0.911	2.60	4890	8	1	212	2371	733	6	0	0.735	34

Kings 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	38	35	0	1	2	4	2	267	242	25	41	21	17	0	1	1	1	0	141	121	20	41	17	18	0	0	1	3	2	126	121	5	80	267	437	704	1	2	0	76	108	78	2692	0	907	929	848	2554	858	797	1949	247	28	11.34%	144	25	82.64%	2	1057	2082	50.77%	927	1853	50.03%	725	1389	52.20%	1868	1121	1809	780	1446	746
2018	82	51	18	0	1	3	2	7	292	218	74	41	24	11	0	1	1	2	2	139	109	30	41	27	7	0	0	2	0	5	153	109	44	107	292	471	763	0	2	0	81	108	100	2776	0	928	999	839	2572	855	601	1844	224	42	18.75%	92	16	82.61%	3	1050	1999	52.53%	995	1970	50.51%	707	1358	52.06%	1888	1153	1636	700	1447	746
2019	82	43	24	0	3	1	6	5	271	218	53	41	25	10	0	2	0	1	3	141	108	33	41	18	14	0	1	1	5	2	130	110	20	93	271	446	717	1	2	0	73	94	95	2840	0	915	977	930	2533	857	638	1820	237	37	15.61%	97	12	87.63%	2	1185	2233	53.07%	1019	1895	53.77%	634	1225	51.76%	1969	1224	1586	692	1428	738
2020	82	38	27	0	2	7	3	5	256	225	31	41	21	8	0	1	5	2	4	139	109	30	41	17	19	0	1	2	1	1	117	116	1	87	256	428	684	2	2	0	79	90	82	2774	0	945	963	845	2530	849	686	1860	240	42	17.50%	95	16	83.16%	1	1169	2175	53.75%	1036	1901	54.50%	641	1249	51.32%	1951	1205	1597	687	1424	739
2021	82	50	24	0	2	2	2	2	284	207	77	41	24	11	0	1	2	2	1	146	102	44	41	26	13	0	1	0	0	1	138	105	33	106	284	494	778	0	5	0	103	101	76	2776	0	944	894	920	2185	679	819	1713	484	107	22.11%	347	58	83.29%	2	1843	3294	55.95%	1414	2779	50.88%	676	1225	55.18%	2134	1503	1807	592	1005	523
2022	82	49	23	0	5	3	1	1	296	210	86	41	29	7	0	2	1	1	1	157	96	61	41	20	16	0	3	2	0	0	139	114	25	111	296	515	811	0	8	0	95	101	94	2857	0	889	974	979	2244	708	924	1787	458	101	22.05%	373	77	79.36%	1	1759	3302	53.27%	1459	2821	51.72%	679	1294	52.47%	2106	1471	1810	605	1030	532
2023	82	41	28	0	3	2	5	3	328	270	58	41	18	13	0	1	1	5	3	169	136	33	41	23	15	0	2	1	0	0	159	134	25	90	328	581	909	0	3	0	117	118	85	2704	0	902	925	852	2396	726	973	1692	465	110	23.66%	378	80	78.84%	4	1587	3083	51.48%	1444	2816	51.28%	695	1384	50.22%	2088	1468	1861	592	1021	529
2024	82	45	24	0	4	1	7	1	319	227	92	41	23	11	0	2	1	3	1	150	105	45	41	22	13	0	2	0	4	0	169	122	47	114	319	559	878	2	5	0	116	101	91	2983	0	1034	1016	898	2431	732	910	1869	479	120	25.05%	365	60	83.56%	5	1713	3344	51.23%	1557	2980	52.25%	734	1327	55.31%	2063	1436	1882	599	1021	530
2025	82	48	19	0	3	3	6	3	355	250	105	41	23	8	0	1	2	4	3	182	124	58	41	25	11	0	2	1	2	0	173	126	47	120	355	634	989	2	4	0	123	126	97	3129	0	1060	1035	1009	2390	677	859	1736	453	114	25.17%	334	74	77.84%	6	1827	3377	54.10%	1468	2796	52.50%	745	1373	54.26%	2112	1498	1841	591	1021	528
2026	82	51	22	0	3	0	5	1	343	250	93	41	28	8	0	1	0	3	1	193	127	66	41	23	14	0	2	0	2	0	150	123	27	119	343	611	954	0	1	0	124	111	100	2965	0	1023	948	972	2410	722	920	1720	472	116	24.58%	377	70	81.43%	6	1742	3297	52.84%	1551	2897	53.54%	733	1357	54.02%	2047	1426	1884	599	1022	520
2027	82	48	22	0	3	1	4	4	289	228	61	41	29	9	0	0	1	1	1	154	110	44	41	19	13	0	3	0	3	3	135	118	17	115	289	513	802	0	4	0	103	89	90	2524	0	818	808	874	2352	707	971	1777	465	117	25.16%	395	59	85.06%	2	1579	3067	51.48%	1491	2917	51.11%	688	1336	51.50%	2081	1460	1867	599	1016	517
2030	82	41	24	0	3	1	6	7	313	245	68	41	24	10	0	2	0	2	3	158	106	52	41	17	14	0	1	1	4	4	155	139	16	108	313	548	861	0	7	0	113	100	91	2897	0	947	918	984	2390	711	960	1755	454	103	22.69%	409	86	78.97%	4	1799	3284	54.78%	1444	2756	52.39%	697	1362	51.17%	2122	1484	1829	603	1040	536
2031	82	39	27	0	5	3	4	4	287	238	49	41	16	17	0	3	1	3	1	135	123	12	41	23	10	0	2	2	1	3	152	115	37	103	287	501	788	1	5	0	111	92	75	2691	0	899	849	912	2530	724	954	1649	433	92	21.25%	393	74	81.17%	2	1655	3089	53.58%	1529	2982	51.27%	695	1309	53.09%	2050	1435	1906	595	1019	516
2032	82	37	29	0	3	3	7	3	296	243	53	41	19	14	0	2	0	5	1	155	117	38	41	18	15	0	1	3	2	2	141	126	15	100	296	510	806	1	2	0	112	90	84	2887	0	950	938	963	2424	732	828	1666	440	83	18.86%	354	65	81.64%	3	1702	3239	52.55%	1531	2828	54.14%	704	1338	52.62%	2084	1467	1868	607	1031	521
2033	82	52	16	0	5	2	5	2	362	233	129	41	26	9	0	1	1	3	1	180	114	66	41	26	7	0	4	1	2	1	182	119	63	128	362	637	999	1	4	0	132	116	104	3114	0	1018	998	1065	2421	707	929	1743	419	119	28.40%	375	60	84.00%	7	1832	3344	54.78%	1499	2853	52.54%	718	1358	52.87%	2073	1449	1850	601	1045	533
2034	82	49	21	0	5	1	4	2	323	212	111	41	25	10	0	2	0	3	1	164	104	60	41	24	11	0	3	1	1	1	159	108	51	119	323	570	893	0	4	0	116	109	89	2848	0	927	943	953	2370	702	859	1678	396	97	24.49%	355	58	83.66%	6	1817	3220	56.43%	1583	2885	54.87%	751	1319	56.94%	2100	1478	1836	594	1024	521
2035	82	39	33	0	3	4	2	1	280	274	6	41	20	17	0	1	2	0	1	132	134	-2	41	19	16	0	2	2	2	0	148	140	8	93	280	493	773	3	3	0	96	87	92	2547	0	860	868	802	2487	744	978	1691	389	74	19.02%	406	73	82.02%	4	1639	2920	56.13%	1658	2858	58.01%	737	1347	54.71%	2029	1411	1894	605	1024	516
2036	82	39	34	0	2	5	0	2	336	296	40	41	22	15	0	1	1	0	2	182	149	33	41	17	19	0	1	4	0	0	154	147	7	89	336	609	945	1	3	0	124	99	111	2942	0	967	962	1000	2397	738	842	1704	458	111	24.24%	351	76	78.35%	3	1833	3204	57.21%	1365	2574	53.03%	771	1391	55.43%	2097	1479	1815	588	1025	528
2037	82	47	21	0	4	6	2	2	328	227	101	41	24	9	0	3	4	1	0	173	111	62	41	23	12	0	1	2	1	2	155	116	39	114	328	579	907	2	10	134	120	68	8	2821	900	961	932	41	2383	716	836	1700	436	97	22.25%	362	59	83.70%	6	1694	3066	55.25%	1492	2788	53.52%	724	1337	54.15%	2062	1445	1879	597	1018	522
2038	44	21	16	0	1	3	1	2	178	156	22	23	11	7	0	1	2	1	1	95	80	15	21	10	9	0	0	1	0	1	83	76	7	51	178	320	498	2	2	71	56	49	2	1380	484	428	460	17	1277	406	482	897	228	67	29.39%	188	35	81.38%	1	833	1555	53.57%	748	1396	53.58%	382	757	50.46%	1114	777	994	321	555	285
Total Regular Season	1602	866	487	0	61	53	76	59	6003	4669	1334	802	452	221	0	29	26	43	31	3085	2285	800	800	414	266	0	32	27	33	28	2918	2384	534	2047	6003	10456	16459	19	78	205	2070	1957	1644	55147	1384	18322	18336	16703	47276	14550	16766	34250	7877	1777	22.56%	6190	1133	81.70%	70	31315	58174	53.83%	27210	51545	52.79%	13836	26035	53.14%	40048	27399	35460	12160	21673	11136
Playoff
2018	19	16	3	0	0	0	0	0	75	40	35	11	10	1	0	0	0	0	0	37	19	18	8	6	2	0	0	0	0	0	38	21	17	32	75	122	197	0	1	0	27	29	16	631	0	204	225	179	590	213	174	452	61	14	22.95%	22	4	81.82%	0	235	454	51.76%	217	461	47.07%	174	328	53.05%	434	265	400	165	334	173
2019	12	6	6	0	0	0	0	0	39	36	3	6	3	3	0	0	0	0	0	19	18	1	6	3	3	0	0	0	0	0	20	18	2	12	39	68	107	0	0	0	13	15	10	415	0	137	145	127	377	129	71	277	25	3	12.00%	16	2	87.50%	0	167	305	54.75%	131	255	51.37%	85	199	42.71%	281	178	246	100	204	102
2020	6	2	4	0	0	0	0	0	16	17	-1	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	9	9	0	4	16	28	44	1	0	0	5	5	6	200	0	61	77	62	167	58	96	146	15	5	33.33%	12	3	75.00%	0	78	144	54.17%	83	150	55.33%	53	97	54.64%	143	87	110	50	106	55
2021	7	3	4	0	0	0	0	0	21	16	5	4	2	2	0	0	0	0	0	15	11	4	3	1	2	0	0	0	0	0	6	5	1	6	21	41	62	0	1	0	11	4	6	224	0	66	78	80	175	59	90	169	32	5	15.63%	34	3	91.18%	0	134	251	53.39%	140	239	58.58%	56	110	50.91%	167	115	165	54	86	43
2022	12	5	7	0	0	0	0	0	31	37	-6	7	2	5	0	0	0	0	0	17	27	-10	5	3	2	0	0	0	0	0	14	10	4	10	31	51	82	0	1	0	15	7	9	404	0	150	109	138	357	130	123	270	62	11	17.74%	57	12	78.95%	1	238	469	50.75%	218	413	52.78%	96	186	51.61%	300	209	282	89	152	76
2023	10	6	4	0	0	0	0	0	43	36	7	5	3	2	0	0	0	0	0	20	16	4	5	3	2	0	0	0	0	0	23	20	3	12	43	77	120	0	0	0	9	17	16	350	0	98	113	121	313	96	176	236	67	13	19.40%	54	10	81.48%	0	216	410	52.68%	214	372	57.53%	82	170	48.24%	268	186	240	78	134	67
2024	6	2	4	0	0	0	0	0	20	25	-5	3	1	2	0	0	0	0	0	10	10	0	3	1	2	0	0	0	0	0	10	15	-5	4	20	37	57	0	0	0	9	6	5	187	0	65	65	57	223	59	67	154	34	5	14.71%	27	7	74.07%	0	100	233	42.92%	107	244	43.85%	53	100	53.00%	143	99	141	43	75	38
2025	22	16	6	0	0	0	0	0	95	54	41	12	10	2	0	0	0	0	0	51	22	29	10	6	4	0	0	0	0	0	44	32	12	32	95	166	261	0	3	0	35	29	29	733	0	255	230	231	682	198	198	452	110	34	30.91%	77	13	83.12%	1	410	799	51.31%	415	823	50.43%	170	362	46.96%	543	382	525	164	278	140
2026	12	5	7	0	0	0	0	0	45	52	-7	7	3	4	0	0	0	0	0	25	28	-3	5	2	3	0	0	0	0	0	20	24	-4	10	45	84	129	0	0	0	19	14	11	451	0	148	180	120	402	110	149	239	73	20	27.40%	65	21	67.69%	1	285	523	54.49%	230	440	52.27%	118	213	55.40%	295	204	277	88	149	76
2027	7	3	4	0	0	0	0	0	21	21	0	4	1	3	0	0	0	0	0	11	14	-3	3	2	1	0	0	0	0	0	10	7	3	6	21	37	58	1	0	0	9	6	5	210	0	69	64	55	231	82	85	173	54	9	16.67%	38	5	86.84%	0	117	287	40.77%	135	277	48.74%	53	117	45.30%	188	126	176	60	101	50
2030	13	7	6	0	0	0	0	0	49	44	5	6	4	2	0	0	0	0	0	21	18	3	7	3	4	0	0	0	0	0	28	26	2	14	49	89	138	0	1	0	21	22	6	426	0	158	141	127	430	100	177	289	73	15	20.55%	68	13	80.88%	1	256	487	52.57%	254	489	51.94%	115	219	52.51%	319	218	297	95	163	83
2031	23	16	7	0	0	0	0	0	95	72	23	11	7	4	0	0	0	0	0	43	33	10	12	9	3	0	0	0	0	0	52	39	13	32	95	167	262	1	1	0	30	31	30	768	0	228	243	259	706	211	210	541	137	36	26.28%	92	16	82.61%	0	441	886	49.77%	408	808	50.50%	183	396	46.21%	604	422	550	179	310	154
2032	5	1	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	5	9	-4	3	1	2	0	0	0	0	0	8	11	-3	2	13	23	36	0	0	0	2	5	5	171	0	54	66	50	149	40	47	113	22	5	22.73%	21	4	80.95%	0	111	192	57.81%	89	167	53.29%	43	81	53.09%	122	85	113	35	63	32
2033	11	5	6	0	0	0	0	0	37	42	-5	6	2	4	0	0	0	0	0	22	25	-3	5	3	2	0	0	0	0	0	15	17	-2	10	37	62	99	0	0	0	12	8	14	366	0	110	114	128	371	103	127	265	49	10	20.41%	57	11	80.70%	0	236	436	54.13%	191	422	45.26%	111	202	54.95%	278	191	276	83	147	73
2034	21	16	5	0	0	0	0	0	78	66	12	11	9	2	0	0	0	0	0	43	36	7	10	7	3	0	0	0	0	0	35	30	5	32	78	142	220	0	0	0	23	28	20	715	0	207	251	205	787	182	245	469	105	21	20.00%	101	11	89.11%	0	453	843	53.74%	470	852	55.16%	177	344	51.45%	548	380	545	166	282	142
2035	7	3	4	0	0	0	0	0	24	23	1	4	2	2	0	0	0	0	0	14	13	1	3	1	2	0	0	0	0	0	10	10	0	6	24	43	67	0	0	0	8	10	5	226	0	74	65	76	220	38	76	139	45	12	26.67%	29	7	75.86%	0	147	272	54.04%	134	240	55.83%	68	120	56.67%	185	130	160	50	91	46
2037	4	0	4	0	0	0	0	0	10	22	-12	2	0	2	0	0	0	0	0	4	13	-9	2	0	2	0	0	0	0	0	6	9	-3	0	10	19	29	0	0	3	6	1	0	98	42	30	26	0	148	55	51	86	18	3	16.67%	20	7	65.00%	0	65	130	50.00%	76	161	47.20%	30	76	39.47%	82	55	106	29	50	23
Total Playoff	197	112	85	0	0	0	0	0	712	623	89	104	60	44	0	0	0	0	0	364	320	44	93	52	41	0	0	0	0	0	348	303	45	224	712	1256	1968	3	8	3	254	237	193	6575	42	2114	2192	2015	6328	1863	2162	4470	982	221	22.51%	790	149	81.14%	4	3689	7121	51.80%	3512	6813	51.55%	1667	3320	50.21%	4907	3340	4617	1537	2734	1380

Kings 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	Jonathan Toews	189	97	135	232	12	114	202	620	771	12.58%	75	4320	22.86	32	57	89	206	1	3	4	13	15	5	54.78%	3	1.07
2	John Tavares	196	91	108	199	22	47	106	486	715	12.73%	26	3654	18.64	24	44	68	178	0	0	0	0	15	7	53.12%	5	1.09
3	Nathan MacKinnon	131	53	81	134	8	40	119	226	471	11.25%	22	2708	20.68	15	31	46	118	0	0	0	4	7	4	46.52%	2	0.99
4	PK Subban	141	24	101	125	-2	198	315	193	285	8.42%	184	3415	24.22	16	35	51	168	0	1	1	0	2	2	0.00%	0	0.73
5	Corey Perry	106	57	64	121	25	153	255	123	393	14.50%	24	2195	20.72	20	23	43	120	0	0	0	0	12	2	34.33%	0	1.10

Kings Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Carey Price	138	76	50	10	0.900	3.07	8243	8	7	422	4220	199	9	3
2	Anton Khudobin	23	13	8	1	0.908	2.99	1465	2	0	73	793	0	1	0
3	Simeon Varlamov	13	9	2	0	0.938	1.92	751	2	0	24	388	156	2	0
4	Chris Mason	10	8	2	0	0.916	2.46	609	2	1	25	296	114	1	0
5	Niklas Svedberg	10	5	2	2	0.877	3.68	538	0	0	33	269	0	0	0