Canadian Hockey League

Thunder
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Kings 32-16-4, 68pts	1	FINAL	3	Sabres 38-11-3, 79pts

Team Stats
W1	Streak	W6
18-3-2	Home Record	21-6-0
14-13-2	Away Record	17-5-3
4-5-1	Last 10 Games	9-0-1
3.83	Goals Per Game	3.63
2.87	Goals Against Per Game	2.50
23.21%	Power Play Percentage	22.11%
82.94%	Penalty Kill Percentage	87.11%

Kings
32-16-4, 68pts

FINAL

RedWings
35-14-3, 73pts

Team Stats
W1	Streak	L1
18-3-2	Home Record	15-6-3
14-13-2	Away Record	20-8-0
4-5-1	Last 10 Games	6-4-0
3.83	Goals Per Game	4.23
2.87	Goals Against Per Game	3.25
23.21%	Power Play Percentage	23.46%
82.94%	Penalty Kill Percentage	82.26%

GoldenKnights
23-23-5, 51pts

Day 113

Kings
32-16-4, 68pts

Team Stats
W3	Streak	W1
14-10-4	Home Record	18-3-2
9-13-1	Away Record	14-13-2
8-2-0	Last 10 Games	4-5-1
3.10	Goals Per Game	3.83
3.22	Goals Against Per Game	2.87
18.47%	Power Play Percentage	23.21%
80.77%	Penalty Kill Percentage	82.94%

Devils
30-20-5, 65pts

Day 115

Kings
32-16-4, 68pts

Team Stats
W2	Streak	W1
15-9-4	Home Record	18-3-2
15-11-1	Away Record	14-13-2
7-2-1	Last 10 Games	4-5-1
3.53	Goals Per Game	3.83
3.18	Goals Against Per Game	2.87
18.84%	Power Play Percentage	23.21%
82.33%	Penalty Kill Percentage	82.94%

Mammoth
13-36-5, 31pts

Day 117

Kings
32-16-4, 68pts

Team Stats
L7	Streak	W1
8-15-3	Home Record	18-3-2
5-21-2	Away Record	14-13-2
1-9-0	Last 10 Games	4-5-1
2.19	Goals Per Game	3.83
3.96	Goals Against Per Game	2.87
20.29%	Power Play Percentage	23.21%
78.67%	Penalty Kill Percentage	82.94%

Team Leaders
	Goals John Tavares 35	Assists Roman Josi 39

	Points John Tavares 73	Plus/Minus John Tavares 13

	Wins Filip Gustavsson 19	Save Percentage Filip Gustavsson 0.909

Team Stats
Goals For 199 3.83 GFG	Shots For 1866 35.88 Avg	Power Play Percentage 23.2% 65 GF	Offensive Zone Start 43.4%
Goals Against 149 2.87 GAA	Shots Against 1489 28.63 Avg	Penalty Kill Percentage 82.9% 36 GA	Defensive Zone Start 38.4%

Injury / Suspension
No Injury or Suspension.

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	21,519
	Season Tickets	10,000
Roster Info
	Pro Team	21
	Farm Team	29
	Contract Limit	50 / 50
	Prospects	39
Salary Cap
	Estimated Season Salary Cap	80,471,597$
	Available Salary Cap	9,528,403$
	Special Salary Cap Value	0$
	Players In Salary Cap	21
Finance
	Year to Date Revenue	41,768,080$
	Year To Date Expenses	51,737,121$
	Estimated Season Revenue	32,688,063$
	Estimated Season Expenses	30,734,484$
	Current Bank Account	77,857,778$
	Projected Bank Account	78,670,113$
Team History
	This Season	32-16-4 (68PTS)
	History	1063-511-127 (0.625%)
	Playoff Appearances	18
	Playoff Record (W-L)	121-92
	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	51	51	80	99	61	92	97	99	85	99	83	77	72	82	87	45	53	83	0	30	3	1$
2	John Tavares	X				100.00	69	52	78	92	69	85	94	85	93	79	92	69	65	92	89	20	56	79	0	35	2	9,500,000$
3	Filip Forsberg		X			100.00	83	51	79	91	66	86	99	83	40	85	81	70	74	84	85	40	56	78	0	31	4	8,000,000$
4	Ryan McLeod			X		100.00	45	48	86	86	61	83	97	73	87	74	71	86	40	74	79	65	57	73	0	26	1	3,500,000$
5	Jake Evans	X				100.00	75	46	88	83	56	81	99	63	88	63	63	88	40	80	81	50	54	71	0	29	3	2,000,000$
6	Marco Kasper		X			100.00	87	45	81	83	55	80	96	65	80	59	70	72	40	64	72	90	56	69	0	21	2	925,000$
7	Alex Iafallo		X			100.00	55	51	86	81	62	77	99	61	40	56	65	81	57	86	82	35	57	68	0	32	4	2,000,000$
8	Brendan Gallagher			X		100.00	66	44	80	85	48	78	99	64	40	57	71	67	58	88	83	30	57	68	0	33	4	850,000$
9	Jonathan Toews (A)	X				100.00	44	55	74	84	66	60	50	69	98	65	73	69	87	96	78	10	56	67	0	37	1	3,000,000$
10	Victor Olofsson			X		100.00	51	42	84	86	49	79	81	66	40	61	72	68	69	82	81	45	56	67	0	30	1	5,000,000$
11	Nick Robertson		X			100.00	67	40	85	82	44	75	90	58	40	48	68	68	40	70	73	75	56	64	0	24	1	2,850,000$
12	Trey Fix-Wolansky			X		100.00	63	41	68	84	48	74	64	63	40	63	63	56	84	74	74	65	56	63	0	26	1	1,340,000$
13	Roman Josi (A)				X	100.00	59	50	83	89	64	92	79	78	40	85	71	81	70	92	92	20	56	77	0	35	3	8,500,000$
14	Michael Matheson				X	100.00	58	52	77	80	63	92	98	62	40	66	59	92	65	84	88	40	60	75	0	31	4	5,000,000$
15	Noah Hanifin				X	100.00	53	53	87	82	70	86	98	68	40	70	65	77	73	78	82	55	59	73	0	28	3	5,000,000$
16	Johnathan Kovacevic				X	100.00	70	69	72	75	83	82	98	54	40	56	52	82	40	78	80	55	60	72	0	28	3	1,500,000$
17	Cam York				X	100.00	61	47	82	80	58	84	88	57	40	56	57	83	40	70	77	75	33	70	0	24	5	4,500,000$
18	Olen Zellweger				X	100.00	54	43	84	83	51	81	85	61	40	57	64	74	40	66	74	85	43	67	0	22	2	925,000$
Scratches
1	Torey Krug				X	98.91	59	44	82	86	52	55	50	67	40	77	56	73	58	90	73	25	18	66	0	34	1	7,000,000$
Farm Team
1	Jesse Puljujarvi			X		100.00	99	56	74	76	77	74	64	58	40	56	61	65	40	76	75	60	32	64	0	27	4	850,000$
2	Matthew Phillips			X		100.00	46	38	88	85	40	74	64	61	40	69	53	70	99	76	75	60	32	63	0	27	1	1,050,000$
3	Taylor Raddysh			X		100.00	57	51	86	78	67	75	98	59	40	61	57	61	40	76	76	60	32	63	0	27	2	2,000,000$
4	Michael Carcone		X			100.00	61	48	76	83	46	74	79	60	40	59	61	59	40	80	77	50	32	62	0	29	1	850,000$
5	Tye Kartye		X			100.00	99	51	76	78	60	71	86	53	40	49	58	66	40	70	71	75	32	62	0	24	1	825,000$
6	Kole Lind		X			100.00	58	44	64	78	60	80	70	55	40	53	57	62	90	76	78	60	32	61	0	27	1	1,000,000$
7	Jan Mysak	X				100.00	57	60	84	77	55	77	67	50	70	49	52	65	90	68	73	80	32	59	0	23	1	1,120,000$
8	Henrik Rybinski			X		100.00	62	53	83	75	59	69	59	49	70	54	44	70	40	70	70	75	32	58	0	24	1	925,000$
9	Jordan Dumais (R)			X		100.00	47	38	86	92	42	60	50	46	40	47	46	60	40	64	62	90	32	55	0	21	3	925,000$
10	Xavier Bourgault			X		100.00	53	47	85	75	49	70	60	42	40	39	46	59	65	68	69	80	38	54	0	23	1	925,000$
11	Felix Unger Sorum (R)			X		100.00	49	39	86	91	44	70	60	38	40	40	37	50	40	62	66	95	32	52	0	20	3	925,000$
12	Jaydon Dureau		X			100.00	60	52	83	75	49	60	50	33	40	30	35	63	73	70	65	75	32	50	0	24	1	925,000$
13	Owen Pickering (R)				X	100.00	52	53	85	75	71	74	60	51	40	47	55	71	40	64	69	90	38	62	0	21	3	925,000$
14	Ryan Mast (R)				X	100.00	85	60	80	76	80	55	50	31	40	31	30	67	40	66	61	85	32	59	0	22	3	925,000$
15	Ryan O'Rourke				X	100.00	60	84	75	75	59	63	58	34	40	34	34	52	40	68	66	80	32	54	0	23	1	1,120,000$
16	Santeri Hatakka				X	100.00	67	47	69	75	56	55	50	30	40	24	36	61	40	70	63	75	32	54	0	24	1	1,020,000$
17	Santtu Kinnunen				X	100.00	50	45	83	75	48	55	50	39	40	41	37	50	40	74	65	65	32	53	0	26	1	600,000$
18	Mark Kastelic	X				100.00	99	91	55	75	83	72	85	54	89	52	57	68	40	74	73	65	19	64	0	26	1	1,050,000$
19	Colton Dach			X		100.00	99	59	76	76	67	75	60	56	40	56	57	75	40	66	71	85	18	63	0	22	2	925,000$
20	Jalen Luypen		X			100.00	45	47	86	75	43	65	55	35	40	29	42	70	40	68	67	80	20	51	0	23	2	925,000$
21	Matvey Petrov		X			100.00	52	39	86	75	65	60	50	38	40	31	45	54	73	66	63	85	20	51	0	22	2	925,000$
22	Tucker Robertson		X			100.00	56	59	83	75	54	60	50	35	40	31	39	55	40	66	63	85	20	49	0	22	2	925,000$
23	Ethan Samson				X	100.00	54	38	78	75	70	73	68	43	40	34	51	50	40	66	70	85	20	56	0	22	2	925,000$

	TEAM AVERAGE					99.95	63	51	80	81	59	73	74	56	50	55	57	68	54	75	74	63	40	64

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	99	99	86	90	87	88	90	89	90	90	76	82	60	63	86	0	27	3	6,000,000$
2	Dustin Wolf	100.00	87	95	99	78	91	88	90	88	86	85	93	70	79	75	58	84	0	24	1	3,500,000$
Scratches
Farm Team
1	Karel Vejmelka	100.00	78	99	99	98	79	78	82	81	84	82	88	80	79	50	45	82	0	29	2	1,500,000$
2	Devon Levi	100.00	81	71	78	84	69	65	63	65	65	63	99	70	68	75	45	68	0	24	1	750,000$
3	Trent Miner	100.00	87	66	71	88	65	62	65	63	65	64	40	70	66	75	20	67	0	24	1	750,000$
4	Dennis Hildeby	100.00	76	57	60	99	59	56	54	57	59	57	99	70	63	75	20	62	0	24	1	750,000$
5	Nico Daws	100.00	79	61	64	94	50	50	50	50	50	50	70	72	61	70	20	59	0	25	1	950,000$
6	Gage Alexander	100.00	75	50	60	97	50	50	50	50	50	50	40	68	59	80	20	57	0	23	1	925,000$

	TEAM AVERAGE	100.00	81	75	79	91	69	67	68	68	69	68	77	72	70	70	36	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Patrick Roy	86	80	73	98	95	86	50	CAN	60	5	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	John Tavares	Kings	C	52	35	38	73	13	24	0	36	139	270	72	226	12.96%	5	970	18.67	13	22	35	73	211	0	0	0	1	39	6	1	58.32%	1226	1	3	1.50	2	2	0	0	0	7	5	2
2	Nathan MacKinnon	Kings	C	49	19	34	53	10	4	0	18	134	195	53	142	9.74%	6	1083	22.12	7	11	18	61	225	1	1	2	11	170	3	1	50.90%	1617	0	0	0.98	0	2	0	0	0	6	1	2
3	Roman Josi	Kings	D	52	10	39	49	9	34	0	73	79	125	42	89	8.00%	46	1287	24.76	8	14	22	87	253	1	1	2	1	174	1	0	0.00%	0	0	0	0.76	0	0	0	0	0	1	3	7
4	Ryan McLeod	Kings	RW	52	20	28	48	13	5	5	3	76	155	46	111	12.90%	10	1114	21.44	9	5	14	42	240	0	2	2	9	159	5	1	52.17%	92	0	0	0.86	0	0	0	0	1	1	2	3
5	Michael Matheson	Kings	D	52	7	32	39	10	48	10	93	71	110	38	84	6.36%	79	1249	24.02	5	11	16	69	251	0	1	1	0	170	1	0	0.00%	0	0	0	0.62	0	0	1	0	1	1	5	1
6	Noah Hanifin	Kings	D	52	9	30	39	7	23	5	62	44	67	20	45	13.43%	43	981	18.87	2	7	9	25	118	0	1	1	1	52	0	0	0.00%	0	0	0	0.80	0	0	1	0	0	3	0	2
7	Marco Kasper	Kings	LW	52	14	25	39	10	42	0	124	65	131	51	105	10.69%	6	892	17.16	6	10	16	48	211	0	0	0	0	0	2	2	56.67%	60	0	0	0.87	0	0	0	0	0	0	2	2
8	Filip Forsberg	Kings	LW	52	17	21	38	8	56	0	187	78	178	52	117	9.55%	5	975	18.76	3	6	9	46	240	0	0	0	2	13	2	0	33.33%	93	0	0	0.78	0	2	0	0	0	2	3	5
9	Victor Olofsson	Kings	RW	52	15	19	34	10	0	0	1	54	106	39	95	14.15%	5	892	17.17	5	9	14	30	211	0	0	0	0	0	4	1	32.81%	64	0	0	0.76	0	0	0	0	0	1	3	2
10	Jonathan Toews	Kings	C	52	14	11	25	6	2	0	2	42	91	21	56	15.38%	3	494	9.50	5	8	13	35	157	1	0	1	2	30	0	0	59.00%	439	0	0	1.01	0	0	0	0	0	1	1	1
11	Alex Iafallo	Kings	LW	52	10	10	20	-9	11	5	15	46	93	26	69	10.75%	8	743	14.30	0	0	0	0	4	1	1	2	2	146	2	1	29.79%	47	0	0	0.54	0	0	0	0	1	2	3	0
12	Jake Evans	Kings	C	52	7	13	20	-8	26	10	89	112	108	27	63	6.48%	11	727	14.00	0	1	1	4	6	1	1	2	3	139	0	0	50.55%	904	0	0	0.55	0	0	0	1	1	0	1	1
13	Torey Krug	Kings	D	37	1	18	19	2	20	0	27	27	28	6	23	3.57%	31	563	15.24	1	5	6	12	63	0	0	0	0	46	0	0	0.00%	0	0	0	0.67	0	0	0	0	0	0	0	1
14	Cam York	Kings	D	43	4	11	15	3	55	5	70	21	34	14	18	11.76%	50	752	17.50	0	1	1	0	10	0	0	0	1	90	2	0	0.00%	0	0	0	0.40	0	0	0	0	0	1	0	1
15	Brendan Gallagher	Kings	RW	52	6	3	9	-11	29	5	45	36	49	10	36	12.24%	4	574	11.05	1	0	1	1	3	0	0	0	0	0	0	0	33.33%	33	0	0	0.31	0	0	0	0	1	1	0	2
16	Johnathan Kovacevic	Kings	D	52	3	6	9	0	92	10	131	53	44	8	23	6.82%	61	863	16.61	0	0	0	11	43	0	1	1	1	132	1	0	0.00%	0	0	0	0.21	0	0	1	0	1	0	0	0
17	Trey Fix-Wolansky	Kings	RW	52	3	6	9	5	20	0	44	20	27	9	23	11.11%	1	304	5.86	0	0	0	0	0	0	0	0	0	0	1	0	33.33%	12	0	0	0.59	0	0	0	0	0	0	1	1
18	Nick Robertson	Kings	LW	52	3	3	6	5	8	0	21	17	39	11	20	7.69%	2	305	5.88	0	0	0	0	0	0	0	0	0	0	0	1	36.36%	22	0	0	0.39	0	0	0	0	0	0	0	0
19	Olen Zellweger	Kings	D	15	0	3	3	3	6	0	4	8	12	1	6	0.00%	13	246	16.43	0	0	0	5	14	0	0	0	0	23	0	0	0.00%	0	0	0	0.24	0	0	0	0	0	0	0	0
20	Owen Pickering	Thunder (Lak)	D	9	0	2	2	5	0	0	11	0	1	0	0	0.00%	12	165	18.38	0	0	0	0	1	0	0	0	0	26	0	0	0.00%	0	0	0	0.24	0	0	0	0	0	0	1	0
21	Mark Kastelic	Thunder (Lak)	C	3	0	0	0	-1	4	0	18	6	3	2	2	0.00%	1	71	23.76	0	0	0	0	14	0	0	0	0	7	0	0	43.93%	107	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				936	197	352	549	90	509	55	1074	1128	1866	548	1353	10.56%	402	15262	16.31	65	110	175	549	2284	5	9	14	34	1425	30	8	52.42%	4716	1	3	0.72	2	6	3	1	6	27	31	33

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
1	Filip Gustavsson	Kings	34	19	11	2	0.909	2.66	1984	6	2	88	967	2	1.000	6	32	20	5	0
2	Dustin Wolf	Kings	21	13	5	2	0.883	3.16	1158	0	2	61	522	0	0.000	0	20	32	0	2
Team Total or Average			55	32	16	4	0.900	2.84	3143	6	4	149	1489	2	1.000	6	52	52	5	2

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
Alex Iafallo	Kings	LW	32	1993-12-21	No	201 Lbs	6 ft0	Yes	No	No	4	Pro & Farm	2,000,000$	2,000,000$	741,573$	No	2,000,000$	2,000,000$	2,000,000$	UFA		Link / NHL Link
Brendan Gallagher	Kings	RW	33	1992-05-06	No	185 Lbs	5 ft9	Yes	No	No	4	Pro & Farm	850,000$	850,000$	315,169$	No	850,000$	850,000$	850,000$	UFA		Link / NHL Link
Cam York	Kings	D	24	2001-01-05	No	194 Lbs	6 ft0	No	No	Yes	5	Pro & Farm	4,500,000$	4,500,000$	1,668,539$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	UFA	Link / NHL Link
Dustin Wolf	Kings	G	24	2001-04-16	No	156 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	1,297,753$	No	RFA					Link / NHL Link
Filip Forsberg	Kings	LW	31	1994-08-13	No	205 Lbs	6 ft1	No	No	Yes	4	Pro Only	8,000,000$	8,000,000$	2,966,292$	No	8,000,000$	8,000,000$	8,000,000$	UFA		Link / NHL Link
Filip Gustavsson	Kings	G	27	1998-06-07	No	185 Lbs	6 ft2	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	2,224,719$	No	6,000,000$	6,000,000$	UFA			Link / NHL Link
Jake Evans	Kings	C	29	1996-06-02	No	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	741,573$	No	2,000,000$	2,000,000$	UFA			Link / NHL Link
John Tavares	Kings	C	35	1990-09-20	No	211 Lbs	6 ft1	No	No	Yes	2	Pro Only	9,500,000$	9,500,000$	3,522,472$	No	9,500,000$	UFA				Link / NHL Link
Johnathan Kovacevic	Kings	D	28	1997-07-12	No	223 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	556,180$	No	1,500,000$	1,500,000$	UFA			Link / NHL Link
Jonathan Toews	Kings	C	37	1988-04-29	No	201 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	1,112,360$	No	UFA					Link / NHL Link
Marco Kasper	Kings	LW	21	2004-04-08	No	183 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	925,000$	342,978$	No	925,000$	RFA				Link / NHL Link
Michael Matheson	Kings	D	31	1994-02-27	No	196 Lbs	6 ft2	No	No	Yes	4	Pro Only	5,000,000$	5,000,000$	1,853,933$	No	5,000,000$	5,000,000$	5,000,000$	UFA		Link / NHL Link
Nathan MacKinnon	Kings	C	30	1995-09-01	No	200 Lbs	6 ft0	Yes	No	Yes	3	Pro Only	1$	1$	0$	No	11,000,000$	11,000,000$	UFA			Link / NHL Link
Nick Robertson	Kings	LW	24	2001-09-11	No	178 Lbs	5 ft9	No	No	Yes	1	Pro & Farm	2,850,000$	2,850,000$	1,056,742$	No	RFA					Link / NHL Link
Noah Hanifin	Kings	D	28	1997-01-25	No	206 Lbs	6 ft3	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	1,853,933$	No	5,000,000$	5,000,000$	UFA			Link / NHL Link
Olen Zellweger	Kings	D	22	2003-09-10	No	187 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	925,000$	342,978$	No	925,000$	RFA				Link / NHL Link
Roman Josi	Kings	D	35	1990-06-01	No	201 Lbs	6 ft1	No	No	Yes	3	Pro Only	8,500,000$	8,500,000$	3,151,685$	No	8,500,000$	8,500,000$	UFA			Link / NHL Link
Ryan McLeod	Kings	RW	26	1999-09-21	No	188 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	1,297,753$	No	RFA					Link / NHL Link
Torey Krug	Kings	D	34	1991-04-12	No	194 Lbs	5 ft9	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	2,595,506$	No	UFA					Link / NHL Link
Trey Fix-Wolansky	Kings	RW	26	1999-05-26	No	193 Lbs	5 ft7	No	No	No	1	Pro & Farm	1,340,000$	1,340,000$	496,854$	No	RFA					Link / NHL Link
Victor Olofsson	Kings	RW	30	1995-07-18	No	180 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	1,853,933$	No	UFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.90	193 Lbs	6 ft0	2.48	3,851,905$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
80,890,001$	65,700,000$	54,350,000$	20,350,000$	4,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon	Ryan McLeod	30	0	1	4
2	Marco Kasper	John Tavares	Victor Olofsson	30	0	2	3
3	Alex Iafallo	Jake Evans	Brendan Gallagher	25	0	3	2
4	Nick Robertson	Jonathan Toews	Trey Fix-Wolansky	15	0	2	3

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

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon	Ryan McLeod	60	0	1	4
2	Marco Kasper	John Tavares	Victor Olofsson	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Michael Matheson	60	0	1	4
2	Olen Zellweger	Jonathan Toews	40	0	1	4

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Michael Matheson	50	0	4	1
2	Cam York	Johnathan Kovacevic	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	Michael Matheson	50	0	5	0
2	Ryan McLeod	50	0	5	0	Cam York	Johnathan Kovacevic	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Filip Forsberg	50	0	1	4
2	John Tavares	Ryan McLeod	50	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Roman Josi	Michael Matheson	50	0	2	3
2	Noah Hanifin	Cam York	50	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Filip Forsberg	Nathan MacKinnon	Ryan McLeod	Roman Josi	Michael Matheson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Iafallo	Jake Evans	Ryan McLeod	Roman Josi	Michael Matheson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jake Evans, Alex Iafallo, Jonathan Toews	Jake Evans, Alex Iafallo	Jonathan Toews

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Olen Zellweger, Cam York, Noah Hanifin	Cam York	Olen Zellweger, Noah Hanifin

Penalty Shots
Nathan MacKinnon, John Tavares, Filip Forsberg, Ryan McLeod, Jake Evans

Goalie
#1 : Filip Gustavsson, #2 : Dustin Wolf

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	10	8	2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	10	8	2	2	0.500	10	19	29	0	0	1	4	5	0	95	19	34	42	0	54	13	12	38	12	0	0.00%	6	1	83.33%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	55	40	40	14	23	12
2	Blackhawks	2	2	0	0	0	0	0	0	8	1	7	2	2	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	14	22	0	1	4	3	1	0	80	24	25	31	0	37	6	14	27	18	3	16.67%	7	0	100.00%	1	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	60	43	36	14	23	13
3	BlueJackets	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	25	7	12	6	0	20	5	8	26	8	1	12.50%	4	1	75.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	26	18	20	7	12	6
4	Blues	2	2	0	0	0	0	0	0	11	5	6	2	2	0	0	0	0	0	0	11	5	6	0	0	0	0	0	0	0	0	0	0	0	4	1.000	11	20	31	0	0	6	3	2	0	90	30	31	29	0	64	19	12	38	15	5	33.33%	6	1	83.33%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	49	34	44	14	25	13
5	Bruins	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	0	0	1	1	2	0	68	17	33	18	0	65	9	16	46	10	0	0.00%	6	2	66.67%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	47	31	48	14	24	12
6	Canadiens	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	8	12	0	0	2	1	1	0	39	16	9	14	0	24	12	4	21	5	2	40.00%	2	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	25	18	22	7	12	6
7	Canucks	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	8	14	22	0	0	3	1	4	0	83	24	33	26	0	64	17	12	45	9	2	22.22%	6	2	66.67%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	47	32	49	14	23	12
8	Capitals	2	2	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	6	10	16	0	1	4	1	1	0	69	25	28	16	0	51	10	23	41	13	1	7.69%	8	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	50	35	45	15	24	12
9	Devils	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	8	13	0	0	1	2	1	1	28	3	15	7	3	42	16	16	18	4	2	50.00%	7	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	21	14	26	7	13	6
10	Ducks	3	1	2	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	2	4	-2	2	1	1	0	0	0	0	0	7	7	0	2	0.333	9	16	25	0	0	4	5	0	0	104	31	39	34	0	93	19	28	73	12	3	25.00%	12	2	83.33%	1	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	76	54	65	21	37	18
11	Flames	2	1	0	0	0	1	0	0	11	9	2	1	0	0	0	0	1	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	11	20	31	0	0	4	6	1	0	71	25	25	20	1	64	21	41	32	12	2	16.67%	10	1	90.00%	1	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	55	39	39	13	26	14
12	Flyers	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	6	10	0	0	1	1	1	1	35	10	9	15	4	30	9	6	17	5	2	40.00%	3	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	24	17	27	8	12	6
13	GoldenKnights	4	1	2	0	0	1	0	0	14	17	-3	2	0	1	0	0	1	0	0	6	8	-2	2	1	1	0	0	0	0	0	8	9	-1	3	0.375	14	26	40	0	0	5	8	1	0	142	57	48	35	2	152	28	65	94	17	6	35.29%	24	6	75.00%	1	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	101	71	93	29	49	25
14	Hurricanes	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	0	1	0	27	7	11	9	0	42	9	14	27	3	1	33.33%	7	2	71.43%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	22	14	24	7	12	6
15	Islanders	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	2	2	0	0	36	13	9	14	0	21	9	8	25	4	0	0.00%	4	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	24	17	23	7	11	5
16	Jets	2	2	0	0	0	0	0	0	8	3	5	2	2	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	14	22	0	0	0	5	3	0	69	21	25	23	0	43	16	8	43	14	4	28.57%	3	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	51	36	41	15	26	14
17	Lightning	2	1	0	0	0	0	1	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	0	0	0	0	0	1	0	3	2	1	4	1.000	9	14	23	0	0	5	2	1	1	79	35	27	15	5	74	19	37	39	12	4	33.33%	14	2	85.71%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	56	39	43	15	24	12
18	Mammoth	3	2	1	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	0	4	2	1	1	0	0	0	0	0	4	5	-1	4	0.667	8	15	23	0	1	3	1	4	0	121	29	38	54	0	59	22	26	47	19	4	21.05%	12	3	75.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	82	57	58	22	38	21
19	Oilers	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	1	0	0	0	5	4	1	4	1.000	8	13	21	0	0	4	1	2	1	65	21	18	22	4	50	19	12	52	11	4	36.36%	3	1	66.67%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	51	36	46	15	25	13
20	Panthers	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	13	20	0	0	4	1	2	0	74	26	32	16	0	51	14	21	45	8	2	25.00%	10	1	90.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	47	33	47	13	24	13
21	Penguins	2	1	0	0	0	1	0	0	10	5	5	1	1	0	0	0	0	0	0	6	0	6	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	10	16	26	0	1	7	3	0	0	76	32	18	25	1	60	18	14	36	14	4	28.57%	6	0	100.00%	1	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	57	42	42	14	24	12
22	Predators	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	8	13	21	0	0	3	3	2	0	78	23	16	39	0	63	28	16	36	8	3	37.50%	8	1	87.50%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	48	32	45	14	26	13
23	Rangers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	0	1	0	16	4	6	6	0	20	3	6	17	3	0	0.00%	3	1	66.67%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	22	14	24	7	12	6
24	RedWings	1	1	0	0	0	0	0	0	10	4	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	10	4	6	2	1.000	10	18	28	0	0	3	3	4	0	42	12	5	25	0	29	10	10	26	7	1	14.29%	5	1	80.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	25	19	22	6	11	6
25	Sabres	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	1	0	0	0	14	5	5	4	0	26	6	16	14	4	0	0.00%	8	1	87.50%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	21	13	25	8	13	6
26	Senators	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	5	2	0	0	29	11	8	10	0	21	7	13	24	4	1	25.00%	4	2	50.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	23	15	21	8	14	7
27	Sharks	3	1	2	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	2	6	-4	2	0.333	6	11	17	0	0	3	1	2	0	98	44	20	34	0	92	20	26	63	11	0	0.00%	11	2	81.82%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	72	49	68	21	39	20
28	Stars	2	1	0	0	0	1	0	0	9	9	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	9	17	26	0	0	3	1	5	0	70	21	19	29	1	58	15	24	48	10	5	50.00%	11	3	72.73%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	52	36	43	13	25	13
29	Wild	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	10	16	0	0	3	2	1	0	43	12	23	8	0	20	3	7	16	8	3	37.50%	1	0	100.00%	0	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	25	18	21	6	12	6
	Total	52	28	16	0	2	4	2	0	199	149	50	23	18	3	0	0	2	0	0	96	52	44	29	10	13	0	2	2	2	0	103	97	6	68	0.654	199	352	551	0	4	82	64	49	4	1866	604	621	626	21	1489	402	515	1074	280	65	23.21%	211	36	82.94%	5	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	1331	929	1162	380	654	340
	_Since Last GM Reset	52	28	16	0	2	4	2	0	199	149	50	23	18	3	0	0	2	0	0	96	52	44	29	10	13	0	2	2	2	0	103	97	6	68	0.654	199	352	551	0	4	82	64	49	4	1866	604	621	626	21	1489	402	515	1074	280	65	23.21%	211	36	82.94%	5	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	1331	929	1162	380	654	340
	_Vs Conference	32	18	10	0	1	3	0	0	124	97	27	16	12	2	0	0	2	0	0	65	38	27	16	6	8	0	1	1	0	0	59	59	0	41	0.641	124	222	346	0	2	46	44	33	1	1209	381	394	426	8	913	246	303	652	176	44	25.00%	120	23	80.83%	4	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	832	584	694	231	404	212
	_Vs Division	19	8	8	0	1	2	0	0	64	62	2	8	4	2	0	0	2	0	0	29	24	5	11	4	6	0	1	0	0	0	35	38	-3	20	0.526	64	115	179	0	1	26	23	14	1	684	231	221	225	7	574	146	210	406	91	21	23.08%	78	17	78.21%	3	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	489	342	420	137	239	126

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
52	68	W1	199	352	551	1866	1489	402	515	1074	0	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
52	28	16	2	4	2	0	199	149

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	18	3	0	2	0	0	96	52

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	10	13	2	2	2	0	103	97

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
280	65	23.21%	211	36	82.94%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
604	621	626	21	82	64	49	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1111	2030	54.73%	929	1794	51.78%	432	852	50.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1331	929	1162	380	654	340

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	7	GoldenKnights	3	Kings	2	BL	X		BoxScore
2	16	Kings	5	Ducks	4	AW			BoxScore
5	34	Kings	0	Mammoth	4	AL			BoxScore
6	46	Flames	7	Kings	6	BL	X		BoxScore
8	61	Blackhawks	0	Kings	2	BW			BoxScore
10	82	Kings	4	Canucks	5	AL			BoxScore
12	90	Kings	5	Oilers	4	AW	X		BoxScore
13	95	Kings	5	Flames	2	AW			BoxScore
15	114	Ducks	4	Kings	2	BL			BoxScore
17	131	Sharks	2	Kings	4	BW			BoxScore
20	152	Jets	1	Kings	3	BW			BoxScore
22	166	Panthers	2	Kings	4	BW			BoxScore
24	183	Predators	1	Kings	4	BW			BoxScore
28	208	Kings	2	Ducks	3	AL			BoxScore
29	213	Kings	4	Mammoth	1	AW			BoxScore
31	235	Blues	2	Kings	4	BW			BoxScore
33	248	Canadiens	2	Kings	4	BW			BoxScore
36	269	Blackhawks	1	Kings	6	BW			BoxScore
38	285	Stars	4	Kings	5	BW			BoxScore
40	296	Kings	1	Hurricanes	4	AL			BoxScore
41	308	Kings	3	Lightning	2	AW	X	X	BoxScore
43	321	Kings	3	Panthers	1	AW			BoxScore
45	338	Kings	4	Predators	6	AL			BoxScore
48	361	Capitals	0	Kings	2	BW			BoxScore
50	373	Bruins	4	Kings	2	BL			BoxScore
52	390	Canucks	2	Kings	4	BW			BoxScore
55	412	Kings	4	Capitals	1	AW			BoxScore
57	422	Kings	2	Bruins	4	AL			BoxScore
59	447	Kings	4	Flyers	3	AW	X	X	BoxScore
61	458	Kings	5	Devils	4	AW	X		BoxScore
62	465	Kings	1	Rangers	2	AL			BoxScore
64	477	Kings	4	Islanders	2	AW			BoxScore
72	515	Blues	3	Kings	7	BW			BoxScore
74	523	Kings	4	Avalanche	5	AL			BoxScore
76	541	Kings	4	Stars	5	AL	X		BoxScore
78	555	Kings	6	Wild	2	AW			BoxScore
81	578	Penguins	0	Kings	6	BW			BoxScore
83	593	Senators	5	Kings	7	BW			BoxScore
86	619	Kings	1	Sharks	4	AL			BoxScore
88	630	Oilers	1	Kings	3	BW			BoxScore
90	646	Lightning	1	Kings	6	BW			BoxScore
92	660	Kings	4	GoldenKnights	3	AW			BoxScore
93	666	Kings	6	Avalanche	3	AW			BoxScore
95	682	GoldenKnights	5	Kings	4	BL			BoxScore
97	696	Mammoth	0	Kings	4	BW			BoxScore
98	713	Kings	4	GoldenKnights	6	AL			BoxScore
99	724	Kings	1	Sharks	2	AL			BoxScore
103	750	Jets	2	Kings	5	BW			BoxScore
106	775	Kings	4	Penguins	5	AL	X		BoxScore
108	787	Kings	2	BlueJackets	3	AL			BoxScore
110	799	Kings	1	Sabres	3	AL			BoxScore
111	808	Kings	10	RedWings	4	AW			BoxScore
113	826	GoldenKnights	-	Kings	-
115	836	Devils	-	Kings	-
117	851	Mammoth	-	Kings	-
119	862	Hurricanes	-	Kings	-
121	879	Kings	-	Flames	-
122	885	Kings	-	Oilers	-
124	904	Kings	-	Canucks	-
126	912	Oilers	-	Kings	-
127	918	Canucks	-	Kings	-
129	947	Avalanche	-	Kings	-
131	962	Kings	-	Blues	-
133	975	Kings	-	Predators	-
134	982	Kings	-	Blackhawks	-
137	1003	MapleLeafs	-	Kings	-
140	1026	Flames	-	Kings	-
142	1041	Wild	-	Kings	-
144	1051	Ducks	-	Kings	-
147	1069	BlueJackets	-	Kings	-
149	1086	Flyers	-	Kings	-
153	1111	Rangers	-	Kings	-
156	1136	Kings	-	Wild	-
158	1145	Kings	-	Stars	-
161	1162	Sabres	-	Kings	-
163	1177	Islanders	-	Kings	-
166	1198	Kings	-	MapleLeafs	-
168	1212	Kings	-	Senators	-
169	1221	Kings	-	Canadiens	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	1236	Kings	-	Jets	-
173	1243	RedWings	-	Kings	-
175	1257	Sharks	-	Kings	-

Depth Chart

Left Wing

Center

Right Wing

Filip Forsberg

AGE:31
SK:		91
EN:		86
DU:		99
PH:		83
PA:		85
SC:		81
DF:		70
Marco Kasper

AGE:21
SK:		83
EN:		80
DU:		96
PH:		65
PA:		59
SC:		70
DF:		72
Alex Iafallo

AGE:32
SK:		81
EN:		77
DU:		99
PH:		61
PA:		56
SC:		65
DF:		81
Nick Robertson

AGE:24
SK:		82
EN:		75
DU:		90
PH:		58
PA:		48
SC:		68
DF:		68
Tye Kartye

AGE:24
SK:		78
EN:		71
DU:		86
PH:		53
PA:		49
SC:		58
DF:		66
Michael Carcone

AGE:29
SK:		83
EN:		74
DU:		79
PH:		60
PA:		59
SC:		61
DF:		59
Kole Lind

AGE:27
SK:		78
EN:		80
DU:		70
PH:		55
PA:		53
SC:		57
DF:		62
Matvey Petrov

AGE:22
SK:		75
EN:		60
DU:		50
PH:		38
PA:		31
SC:		45
DF:		54
Jalen Luypen

AGE:23
SK:		75
EN:		65
DU:		55
PH:		35
PA:		29
SC:		42
DF:		70
Jaydon Dureau

AGE:24
SK:		75
EN:		60
DU:		50
PH:		33
PA:		30
SC:		35
DF:		63
Tucker Robertson

AGE:22
SK:		75
EN:		60
DU:		50
PH:		35
PA:		31
SC:		39
DF:		55

Nathan MacKinnon

AGE:30
SK:		99
EN:		92
DU:		97
PH:		99
PA:		99
SC:		83
DF:		77
John Tavares

AGE:35
SK:		92
EN:		85
DU:		94
PH:		85
PA:		79
SC:		92
DF:		69
Jake Evans

AGE:29
SK:		83
EN:		81
DU:		99
PH:		63
PA:		63
SC:		63
DF:		88
Jonathan Toews

AGE:37
SK:		84
EN:		60
DU:		50
PH:		69
PA:		65
SC:		73
DF:		69
Mark Kastelic

AGE:26
SK:		75
EN:		72
DU:		85
PH:		54
PA:		52
SC:		57
DF:		68
Jan Mysak

AGE:23
SK:		77
EN:		77
DU:		67
PH:		50
PA:		49
SC:		52
DF:		65

Ryan McLeod

AGE:26
SK:		86
EN:		83
DU:		97
PH:		73
PA:		74
SC:		71
DF:		86
Brendan Gallagher

AGE:33
SK:		85
EN:		78
DU:		99
PH:		64
PA:		57
SC:		71
DF:		67
Victor Olofsson

AGE:30
SK:		86
EN:		79
DU:		81
PH:		66
PA:		61
SC:		72
DF:		68
Jesse Puljujarvi

AGE:27
SK:		76
EN:		74
DU:		64
PH:		58
PA:		56
SC:		61
DF:		65
Colton Dach

AGE:22
SK:		76
EN:		75
DU:		60
PH:		56
PA:		56
SC:		57
DF:		75
Trey Fix-Wolansky

AGE:26
SK:		84
EN:		74
DU:		64
PH:		63
PA:		63
SC:		63
DF:		56
Matthew Phillips

AGE:27
SK:		85
EN:		74
DU:		64
PH:		61
PA:		69
SC:		53
DF:		70
Taylor Raddysh

AGE:27
SK:		78
EN:		75
DU:		98
PH:		59
PA:		61
SC:		57
DF:		61
Henrik Rybinski

AGE:24
SK:		75
EN:		69
DU:		59
PH:		49
PA:		54
SC:		44
DF:		70
Jordan Dumais (R)

AGE:21
SK:		92
EN:		60
DU:		50
PH:		46
PA:		47
SC:		46
DF:		60
Xavier Bourgault

AGE:23
SK:		75
EN:		70
DU:		60
PH:		42
PA:		39
SC:		46
DF:		59
Felix Unger Sorum (R)

AGE:20
SK:		91
EN:		70
DU:		60
PH:		38
PA:		40
SC:		37
DF:		50

Defense #1

Defense #2

Goalie

Roman Josi

AGE:35
SK:		89
EN:		92
DU:		79
PH:		78
PA:		85
SC:		71
DF:		81
Michael Matheson

AGE:31
SK:		80
EN:		92
DU:		98
PH:		62
PA:		66
SC:		59
DF:		92
Noah Hanifin

AGE:28
SK:		82
EN:		86
DU:		98
PH:		68
PA:		70
SC:		65
DF:		77
Johnathan Kovacevic

AGE:28
SK:		75
EN:		82
DU:		98
PH:		54
PA:		56
SC:		52
DF:		82
Cam York

AGE:24
SK:		80
EN:		84
DU:		88
PH:		57
PA:		56
SC:		57
DF:		83
Olen Zellweger

AGE:22
SK:		83
EN:		81
DU:		85
PH:		61
PA:		57
SC:		64
DF:		74
Torey Krug

AGE:34
SK:		86
EN:		55
DU:		50
PH:		67
PA:		77
SC:		56
DF:		73

Owen Pickering (R)

AGE:21
SK:		75
EN:		74
DU:		60
PH:		51
PA:		47
SC:		55
DF:		71
Ryan Mast (R)

AGE:22
SK:		76
EN:		55
DU:		50
PH:		31
PA:		31
SC:		30
DF:		67
Ethan Samson

AGE:22
SK:		75
EN:		73
DU:		68
PH:		43
PA:		34
SC:		51
DF:		50
Ryan O'Rourke

AGE:23
SK:		75
EN:		63
DU:		58
PH:		34
PA:		34
SC:		34
DF:		52
Santeri Hatakka

AGE:24
SK:		75
EN:		55
DU:		50
PH:		30
PA:		24
SC:		36
DF:		61
Santtu Kinnunen

AGE:26
SK:		75
EN:		55
DU:		50
PH:		39
PA:		41
SC:		37
DF:		50

Filip Gustavsson

AGE:27
SK:		87
AG:		90
RB:		87
SC:		88
HS:		90
RT:		89
DF:		90
Dustin Wolf

AGE:24
SK:		87
AG:		91
RB:		88
SC:		90
HS:		88
RT:		86
DF:		85
Karel Vejmelka

AGE:29
SK:		78
AG:		79
RB:		78
SC:		82
HS:		81
RT:		84
DF:		82
Devon Levi

AGE:24
SK:		81
AG:		69
RB:		65
SC:		63
HS:		65
RT:		65
DF:		63
Trent Miner

AGE:24
SK:		87
AG:		65
RB:		62
SC:		65
HS:		63
RT:		65
DF:		64
Dennis Hildeby

AGE:24
SK:		76
AG:		59
RB:		56
SC:		54
HS:		57
RT:		59
DF:		57
Nico Daws

AGE:25
SK:		79
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Gage Alexander

AGE:23
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
Andrei Trofimov	Kings	2039	215
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
Ethan Wyttenbach	Kings	2039	153
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
Josh Pillar	Kings	2035	124
Justin Poirier	Kings	2038	55
Kale Dach	Kings	2039	184
Liam Greentree	Kings	2038	24
Lucas Forsell	Kings	2035	180
Mac Swanson	Kings	2038	179
Malcolm Spence	Kings	2039	29
Melvin Fernstrom	Kings	2038	68
Mikael Hakkarainen	Kings	2032	139
Nate Misskey	Kings	2038	148
Nick Malik	Kings	2036	144
Ryan Conmy	Kings	2037	169
Ryan Mccleary	Kings	2035	217
Simon Knak	Kings	2035	138
Theo Stockselius	Kings	2039	60
Toni Utunen	Kings	2032	150
Tyson Galloway	Kings	2035	174
Vyacheslav Peksa	Kings	2035	207
William Von Barnekow Lofberg	Kings	2035	176
Wilson Bjorck	Kings	2039	122
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
2040
2041
2042

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	John Tavares	1607	751	1033	1784	366	527	1213	3727	6033	12.45%	229	30039	18.69	211	406	617	1548	4	0	4	35	127	36	55.40%	23	1.19	37	96
2	Jonathan Toews	1540	730	974	1704	342	658	1282	4416	5947	12.28%	549	31925	20.73	216	391	607	1533	22	15	37	167	117	42	56.40%	32	1.07	24	100
3	Nathan MacKinnon	1115	576	807	1383	450	422	914	2193	4508	12.78%	191	21663	19.43	152	331	483	1228	2	3	5	26	94	32	51.53%	20	1.28	9	50
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	833	400	503	903	353	871	2091	1242	3199	12.50%	176	17224	20.68	120	182	302	929	7	3	10	55	49	22	35.96%	13	1.05	13	40

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	163	103	35	15	0.906	2.63	9227	18	14	405	4318	0	11	0	0.879	33
4	Karel Vejmelka	128	64	44	8	0.885	3.41	7242	6	4	412	3598	0	4	5	0.500	8
5	Chris Mason	117	50	43	12	0.906	3.01	6547	19	3	328	3491	1480	9	2	0.778	54

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	82	42	24	0	6	5	3	2	345	265	80	41	18	14	0	3	3	2	1	167	142	25	41	24	10	0	3	2	1	1	178	123	55	109	345	611	956	2	2	135	101	100	12	2673	896	849	906	40	2364	701	844	1617	448	128	28.57%	337	65	80.71%	3	1618	3013	53.70%	1394	2597	53.68%	737	1401	52.61%	2119	1486	1808	592	1041	542
2039	52	28	16	0	2	4	2	0	199	149	50	23	18	3	0	0	2	0	0	96	52	44	29	10	13	0	2	2	2	0	103	97	6	68	199	352	551	0	4	82	64	49	4	1866	604	621	626	21	1489	402	515	1074	280	65	23.21%	211	36	82.94%	5	1111	2030	54.73%	929	1794	51.78%	432	852	50.70%	1331	929	1162	380	654	340
Total Regular Season	1692	915	511	0	68	59	80	59	6369	4927	1442	843	477	231	0	31	29	44	31	3253	2399	854	849	438	280	0	37	30	36	28	3116	2528	588	2173	6369	11099	17468	19	82	351	2179	2057	1658	58306	2400	19364	19408	16747	49852	15247	17643	36044	8377	1903	22.72%	6550	1199	81.69%	77	33211	61662	53.86%	28785	54540	52.78%	14623	27531	53.11%	42385	29038	37437	12812	22813	11734
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
2038	16	9	7	0	0	0	0	0	58	55	3	7	3	4	0	0	0	0	0	24	26	-2	9	6	3	0	0	0	0	0	34	29	5	18	58	104	162	0	0	23	14	19	2	489	144	140	193	12	488	146	177	327	81	22	27.16%	75	23	69.33%	0	311	585	53.16%	256	567	45.15%	141	260	54.23%	391	267	382	117	201	101
Total Playoff	213	121	92	0	0	0	0	0	770	678	92	111	63	48	0	0	0	0	0	388	346	42	102	58	44	0	0	0	0	0	382	332	50	242	770	1360	2130	3	8	26	268	256	195	7064	186	2254	2385	2027	6816	2009	2339	4797	1063	243	22.86%	865	172	80.12%	4	4000	7706	51.91%	3768	7380	51.06%	1808	3580	50.50%	5298	3607	5000	1654	2935	1481

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	205	99	138	237	15	116	205	626	786	12.60%	76	4411	21.52	32	57	89	206	1	3	4	13	15	5	54.89%	3	1.07
2	John Tavares	212	93	115	208	17	70	155	518	766	12.14%	27	3946	18.61	24	49	73	187	0	0	0	0	16	7	53.36%	5	1.05
3	Nathan MacKinnon	147	68	95	163	20	40	126	269	557	12.21%	27	3026	20.59	19	38	57	140	0	0	0	4	9	6	47.00%	3	1.08
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	Filip Gustavsson	21	10	8	1	0.881	3.62	1210	0	0	73	615	0	2	0
4	Simeon Varlamov	13	9	2	0	0.938	1.92	751	2	0	24	388	156	2	0
5	Chris Mason	10	8	2	0	0.916	2.46	609	2	1	25	296	114	1	0