Coachella Valley Firebirds
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension
Web Roster Editor
Web Lines Editor

Game Center
	Tampa Bay Lightning 18-10-6, 56pts	2	Box score	3	Seattle Kraken 14-18-1, 38pts

Team Stats
L1	Streak	W5
11-4-2	Home Record	9-6-0
7-6-4	Away Record	5-12-1
5-3-2	Last 10 Games	7-3-0
2.82	Goals Per Game	2.36
2.35	Goals Against Per Game	2.88
21.05%	Power Play Percentage	14.81%
84.72%	Penalty Kill Percentage	81.69%

New York Rangers
14-14-6, 46pts

Box score

Seattle Kraken
14-18-1, 38pts

Team Stats
W1	Streak	W5
5-9-3	Home Record	9-6-0
9-5-3	Away Record	5-12-1
5-4-1	Last 10 Games	7-3-0
2.50	Goals Per Game	2.36
2.74	Goals Against Per Game	2.88
18.44%	Power Play Percentage	14.81%
81.31%	Penalty Kill Percentage	81.69%

Seattle Kraken
14-18-1, 38pts

Day 84

Edmonton Oilers
17-10-6, 53pts

Team Stats
W5	Streak	W1
9-6-0	Home Record	7-6-4
5-12-1	Away Record	10-4-2
7-3-0	Last 10 Games	5-4-1
2.36	Goals Per Game	2.91
2.88	Goals Against Per Game	2.91
14.81%	Power Play Percentage	17.21%
81.69%	Penalty Kill Percentage	84.21%

Seattle Kraken
14-18-1, 38pts

Day 86

Detroit Red Wings
17-9-7, 55pts

Team Stats
W5	Streak	W1
9-6-0	Home Record	8-4-4
5-12-1	Away Record	9-5-3
7-3-0	Last 10 Games	5-2-3
2.36	Goals Per Game	2.73
2.88	Goals Against Per Game	2.73
14.81%	Power Play Percentage	18.60%
81.69%	Penalty Kill Percentage	81.08%

St Louis Blues
18-11-4, 57pts

Day 89

Seattle Kraken
14-18-1, 38pts

Team Stats
L2	Streak	W5
9-7-2	Home Record	9-6-0
9-4-2	Away Record	5-12-1
6-4-0	Last 10 Games	7-3-0
2.97	Goals Per Game	2.36
2.48	Goals Against Per Game	2.36
18.25%	Power Play Percentage	14.81%
79.63%	Penalty Kill Percentage	81.69%

Team Leaders
Goals Alex DeBrincat 15			Assists Alex DeBrincat 13

Points Alex DeBrincat 28			Plus/Minus Alexandre Texier 11

Wins Elvis Merzlikins 6			Save Percentage Calvin Pickard 0.916

Team Stats
Goals For 78 2.36 GFG	Shots For 883 26.76 Avg	Power Play Percentage 14.8% 16 GF	Offensive Zone Start 34.8%
Goals Against 95 2.88 GAA	Shots Against 981 29.73 Avg	Penalty Kill Percentage 81.7%% 26 GA	Defensive Zone Start 41.7%

Team Info
	General Manager	Ray Z
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Climate Pledge Arena
	Capacity	18,000
	Attendance	14,643
	Season Tickets	7,380
Roster Info
	Pro Team	21
	Farm Team	32
	Contract Limit	53 / 250
	Prospects	46
Finance
	Year to Date Revenue	16,027,083$
	Year To Date Expenses	31,891,363$
	Estimated Season Revenue	26,711,805$
	Estimated Season Expenses	42,628,320$
	Current Bank Account	45,236,024$
	Projected Bank Account	29,243,411$

Show or Hide Columns

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	TA	SP	Age	Contract	Salary
1	Leon Draisaitl	0	X				100.00	66	49	90	86	77	96	99	99	98	99	97	68	94	78	82	55	40	84		0	29	4	6,200,000$
2	Tim Stutzle	0			X		100.00	82	46	90	92	68	95	99	91	75	90	90	73	90	68	77	55	40	82		0	23	1	2,000,000$
3	Alex DeBrincat	0		X			100.00	71	35	92	99	53	92	91	80	74	83	88	70	85	74	74	55	40	78		0	27	2	6,000,067$
4	Evgeny Kuznetsov	0	X				100.00	82	49	81	85	72	93	93	84	91	86	78	68	76	81	79	55	40	78	N	0	33	2	5,500,000$
5	Oliver Bjorkstrand	0		X			100.00	75	39	84	95	58	90	88	80	62	88	82	70	80	79	77	55	40	78		0	30	3	4,200,000$
6	Alexandre Texier	0		X			100.00	62	47	82	90	76	87	93	80	64	80	83	72	83	71	69	55	40	77		0	25	4	4,000,000$
7	Dylan Cozens	0	X				100.00	59	47	82	84	80	88	94	84	90	80	84	75	82	70	69	55	40	77		0	24	1	1,750,000$
8	Jonathan Huberdeau	0			X		100.00	60	45	92	94	73	91	91	76	68	80	86	66	80	80	74	55	40	77		0	32	2	3,000,000$
9	Calle Jarnkrok	0	X				100.00	59	42	81	81	62	87	89	67	85	69	70	70	71	81	71	55	40	70		0	33	1	2,150,000$
10	Justin Danforth	0			X		100.00	88	41	74	77	68	79	80	67	69	67	68	70	70	80	75	55	40	70		0	32	1	1,000,000$
11	Thomas Chabot	0				X	100.00	73	42	96	93	82	99	99	80	50	90	75	78	76	77	82	55	40	80	N	0	28	1	4,500,000$
12	Alexandre Carrier	0				X	100.00	80	39	83	91	68	93	99	76	50	80	63	82	69	77	79	55	40	78	N	0	28	1	8,500,000$
13	Darnell Nurse	0				X	100.00	92	54	67	70	99	92	92	75	50	78	70	80	65	79	89	55	40	78		0	30	3	2,000,000$
14	Kevin Bahl	0				X	100.00	87	63	89	70	99	86	85	73	50	80	67	83	65	71	80	55	40	77		0	25	4	1,750,000$
15	Mario Ferraro	0				X	100.00	92	48	87	88	69	88	88	76	52	82	70	77	69	73	84	55	40	77		0	26	3	1,750,000$
16	Dante Fabbro	0				X	100.00	70	47	83	92	76	86	85	77	53	82	71	77	73	74	79	55	40	76		0	27	2	1,500,000$
17	Andrew Peeke	0				X	100.00	94	51	85	80	87	79	78	68	52	73	65	77	65	74	75	55	40	75		0	27	2	1,500,000$
18	Travis Dermott	0				X	100.00	82	47	88	78	85	80	86	73	50	76	66	73	67	77	83	55	40	74		0	28	1	500,000$
Scratches
Farm Team
1	Juuso Parssinen (R)	0	X				98.00	87	58	81	74	85	83	92	79	88	84	74	70	75	70	73	55	40	75		0	24	1	800,000$
2	Juraj Slafkovsky (R)	0		X			100.00	93	60	78	62	90	87	87	69	57	78	72	65	67	63	63	55	40	70		0	21	3	1,750,000$
3	Mikhail Grigorenko	0			X		100.00	60	45	83	68	93	83	84	66	79	69	68	69	66	80	70	55	40	69		0	31	1	2,500,000$
4	Sven Andrighetto	0		X			100.00	79	40	83	81	57	79	79	67	67	70	67	68	71	80	64	55	40	69		0	32	2	1,500,000$
5	Cole Sillinger (R)	0	X				100.00	66	50	79	77	75	84	84	65	82	73	67	61	69	65	65	55	40	68		0	22	3	1,750,000$
6	Jacob De La Rose	0			X		100.00	89	52	77	64	83	77	75	63	69	66	64	70	63	79	74	55	40	68		0	30	3	625,000$
7	Sheldon Dries	0	X				100.00	81	45	67	78	59	76	76	66	80	69	68	67	70	80	68	55	40	68		0	31	2	625,000$
8	Cole Koepke	0		X			100.00	91	47	80	69	75	76	76	60	50	64	65	66	64	76	86	55	40	67		0	27	1	2,000,000$
9	LARS BRYGGMAN	0		X			100.00	54	43	74	67	81	60	60	69	70	71	72	64	69	78	78	52	40	67		0	32	1	250,000$
10	Maxim Tsyplakov	0			X		100.00	84	52	74	67	80	82	76	60	65	72	65	64	63	75	75	55	40	67		0	26	1	2,000,000$
11	Tommy Novak	0	X				100.00	53	37	82	78	74	73	80	60	71	65	62	72	65	75	72	55	40	67		0	28	1	500,000$
12	Steven Lorentz	0	X				100.00	84	45	74	64	87	68	76	60	73	62	61	68	61	78	73	55	40	66		0	29	4	625,000$
13	Jayden Struble (R)	0				X	100.00	91	50	69	81	78	78	87	68	53	72	64	73	64	68	69	55	40	73		0	23	2	800,000$
14	Kevin Gravel	0				X	100.00	84	49	80	68	93	81	80	70	50	73	64	67	63	81	82	55	40	72		0	33	2	750,000$
15	Henry Thrun (R)	0				X	100.00	56	45	88	81	81	82	90	68	50	70	65	63	65	70	77	55	40	70		0	24	2	700,000$
16	Markus Niemelainen	0				X	100.00	89	46	79	75	87	66	71	61	52	60	59	69	59	76	82	55	40	70		0	27	1	500,000$
17	Albert Johansson (R)	0				X	100.00	65	30	79	89	65	76	76	64	50	66	63	66	65	70	70	55	40	69		0	24	3	800,000$
18	Matias Maccelli (R)	0		X			100.00	60	38	87	95	60	88	93	79	56	86	81	70	81	70	72	55	40	77		0	24	1	700,000$
19	Philip Tomasino (R)	0			X		100.00	69	46	83	93	70	88	90	75	72	83	82	70	80	67	78	55	40	76		0	23	1	7,000,000$
20	Andrew Agozzino	0		X			100.00	61	43	77	76	57	76	74	65	64	68	68	67	68	82	65	55	40	67		0	34	1	750,000$
21	Jansen Harkins	0	X				100.00	57	44	74	76	72	76	81	60	70	62	63	70	64	75	63	55	40	66		0	28	1	500,000$
22	Mathias Brome	0		X			100.00	55	40	82	76	65	76	79	60	64	64	63	67	65	76	73	55	40	66		0	30	2	1,000,000$
23	Ty Rattie	0			X		100.00	54	42	76	80	58	75	69	60	55	64	64	65	65	79	63	55	40	64		0	32	1	625,000$
24	Blake Speers	0			X		100.00	56	40	79	80	59	71	68	60	55	58	61	69	65	73	57	55	40	63		0	28	1	500,000$
25	Jordan Spence (R)	0				X	97.00	67	43	83	91	63	77	85	77	50	79	65	75	70	70	76	55	40	73		0	24	2	700,000$
26	JOEL NYSTROM	0				X	100.00	60	38	83	90	71	60	60	67	48	75	64	76	67	65	74	52	40	70		0	23	1	275,000$
27	Jordan Oesterle	0				X	100.00	53	40	87	77	71	76	76	60	50	69	67	67	62	84	94	55	40	69		0	33	2	1,000,000$
28	Alexey Marchenko	0				X	100.00	51	51	87	65	86	79	83	67	51	70	60	68	57	81	82	55	40	68		0	33	2	1,000,000$
29	Niko Mikkola	0				X	100.00	73	49	75	76	79	68	70	61	50	62	60	65	58	77	71	55	40	67		0	29	4	625,000$

	TEAM AVERAGE						99.89	72	46	81	80	75	81	83	70	63	74	70	70	70	75	75	55	40	72

Show or Hide Columns

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	TA	SP	Age	Contract	Salary
1	Calvin Pickard	0	100.00	73	83	85	80	84	86	87	85	85	86	84	82	72	55	40	80	N	0	33	2	2,750,000$
2	Elvis Merzlikins	0	100.00	86	77	79	84	85	83	84	84	84	83	83	80	67	55	40	80	N	0	31	2	3,000,000$
Scratches
1	James Reimer	0	100.00	73	77	80	83	79	83	83	81	81	83	80	87	70	55	40	78	N	0	37	1	2,750,000$
Farm Team
1	David Rittich	0	98.00	71	72	75	84	77	78	79	79	75	78	78	80	63	55	40	75		0	32	1	1,850,000$
2	Joel Blomqvist (R)	0	100.00	88	70	75	82	76	73	74	76	76	73	74	68	56	55	40	73		0	23	3	800,000$
3	Scott Wedgewood	0	100.00	76	70	70	82	78	79	80	79	79	79	78	81	67	55	40	75		0	32	1	1,850,000$

	TEAM AVERAGE		99.67	78	75	77	83	80	80	81	81	80	80	80	80	66	55	40	77

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alex DeBrincat	Seattle Kraken	LW	34	15	13	28	-11	8	0	51	42	94	28	51	15.96%	14	687	20.22	6	8	14	19	109	2	34	1	0	48.72%	39	25	8	1	0.81	0	1	0	0	0	1	1	3
2	Leon Draisaitl	Seattle Kraken	C	33	13	13	26	-12	32	10	37	73	112	42	73	11.61%	15	738	22.37	3	5	8	15	99	4	70	3	1	55.87%	852	20	19	0	0.70	0	4	1	0	1	1	0	2
3	Tim Stutzle	Seattle Kraken	RW	32	8	13	21	-15	17	5	50	58	121	38	69	6.61%	15	712	22.26	5	4	9	21	95	2	86	2	1	50.00%	46	33	13	0	0.59	2	3	0	0	1	1	1	1
4	Alexandre Texier	Seattle Kraken	LW	33	9	9	18	11	20	0	28	37	109	17	64	8.26%	18	664	20.14	2	2	4	15	90	2	44	0	0	32.65%	49	18	10	0	0.54	1	1	0	0	0	1	0	2
5	Jonathan Huberdeau	Seattle Kraken	RW	33	8	9	17	6	9	5	38	57	66	11	35	12.12%	11	599	18.15	0	2	2	3	55	0	26	2	2	36.84%	19	19	11	0	0.57	0	0	0	0	1	0	1	2
6	Oliver Bjorkstrand	Seattle Kraken	LW	33	7	10	17	-3	16	0	57	44	94	39	58	7.45%	10	647	19.62	1	4	5	8	86	4	41	0	0	48.84%	43	29	11	0	0.53	1	4	0	0	0	1	3	3
7	Dylan Cozens	Seattle Kraken	C	33	7	9	16	-2	23	5	37	59	83	28	32	8.43%	17	590	17.88	0	1	1	5	68	4	55	1	0	47.67%	300	17	12	0	0.54	1	1	1	0	0	2	0	0
8	Thomas Chabot	Seattle Kraken	D	33	5	10	15	-12	4	0	34	55	49	21	15	10.20%	51	851	25.80	3	1	4	10	109	2	129	1	0	0%	0	16	32	0	0.35	0	0	0	0	0	0	3	1
9	Evgeny Kuznetsov	Seattle Kraken	C	33	5	9	14	0	26	0	56	65	61	25	48	8.20%	8	607	18.41	0	2	2	5	78	3	50	0	0	49.76%	410	18	10	0	0.46	0	2	0	0	0	1	0	1
10	Alexandre Carrier	Seattle Kraken	D	33	2	8	10	-11	48	10	48	52	31	14	9	6.45%	45	760	23.04	1	0	1	2	37	0	118	0	0	0%	0	12	28	0	0.26	0	0	2	0	0	1	0	1
11	Matias Maccelli	Coachella Valley Firebirds (SEA)	LW	17	3	6	9	-2	0	0	13	23	30	13	23	10.00%	11	256	15.09	0	0	0	0	1	1	15	0	0	40.91%	22	10	5	0	0.70	0	0	0	0	0	0	0	1
12	Philip Tomasino	Coachella Valley Firebirds (SEA)	RW	17	3	3	6	-2	25	5	30	25	35	11	27	8.57%	6	269	15.87	0	0	0	0	5	0	27	1	0	61.54%	13	5	5	1	0.44	0	0	0	0	1	0	0	0
13	Dante Fabbro	Seattle Kraken	D	33	0	3	3	2	16	0	11	29	17	2	4	0%	18	388	11.77	0	1	1	4	37	0	40	0	0	0%	0	3	9	0	0.15	0	0	0	0	0	0	0	0
14	Darnell Nurse	Seattle Kraken	D	33	1	2	3	3	45	5	43	48	20	4	8	5.00%	20	492	14.93	0	1	1	3	72	0	81	0	0	0%	0	4	22	0	0.12	0	0	0	1	0	0	0	0
15	Kevin Bahl	Seattle Kraken	D	33	0	3	3	4	50	20	28	43	15	7	9	0%	37	648	19.64	0	0	0	0	31	0	87	0	0	0%	0	4	23	0	0.09	0	1	1	1	2	0	0	0
16	Andrew Peeke	Seattle Kraken	D	33	0	1	1	-2	2	0	15	25	3	1	2	0%	8	191	5.81	0	0	0	0	0	0	7	0	0	0%	0	0	3	0	0.10	0	0	0	0	0	0	0	0
17	Calle Jarnkrok	Seattle Kraken	C	16	0	1	1	-1	29	5	12	21	15	6	7	0%	4	224	14.06	0	0	0	0	3	1	30	0	0	46.88%	160	3	2	0	0.09	0	0	0	0	1	0	0	0
18	Juraj Slafkovsky	Coachella Valley Firebirds (SEA)	LW	1	0	1	1	0	0	0	3	2	2	0	1	0%	1	26	26.10	0	1	1	0	4	0	1	0	0	0%	1	0	0	0	0.77	1	1	0	0	0	0	0	0
19	Mario Ferraro	Seattle Kraken	D	33	0	1	1	-5	10	0	35	23	13	7	5	0%	19	433	13.13	0	0	0	1	5	0	2	0	0	0%	0	5	15	0	0.05	0	0	0	0	0	0	0	0
20	Travis Dermott	Seattle Kraken	D	33	0	1	1	-2	2	0	7	8	2	3	0	0%	4	174	5.28	0	0	0	0	0	0	0	0	0	0%	0	0	5	0	0.11	0	0	0	0	0	0	0	0
21	Justin Danforth	Seattle Kraken	RW	6	0	0	0	4	6	0	4	4	3	0	2	0%	1	82	13.77	0	0	0	0	0	0	0	0	0	25.00%	4	0	2	0	0	0	0	0	0	0	0	0	0
22	Juuso Parssinen	Coachella Valley Firebirds (SEA)	C	17	0	0	0	0	6	0	5	11	3	2	0	0%	1	70	4.12	0	0	0	0	0	0	6	0	0	47.06%	34	0	2	0	0	0	0	0	0	0	0	0	0
23	Mikhail Grigorenko	Coachella Valley Firebirds (SEA)	RW	10	0	0	0	-2	2	0	3	6	0	0	3	0%	1	54	5.47	0	0	0	0	0	0	0	0	0	0%	1	3	0	0	0	0	0	0	0	0	0	0	0
24	Tommy Novak	Coachella Valley Firebirds (SEA)	C	1	0	0	0	-1	0	0	0	2	0	0	0	0%	0	2	2.85	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				613	86	125	211	-53	396	70	645	812	978	319	545	8.79%	335	10174	16.60	21	32	53	111	992	25	959	11	4	51.05%	1994	244	247	2	0.41	6	18	5	2	7	9	9	17

Show or Hide Columns

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Seattle Kraken	15	6	7	1	0.916	2.67	875	2	39	465	192	1	0	0.917	12	14	15	1	1	1
2	Elvis Merzlikins	Seattle Kraken	16	6	10	0	0.897	2.80	942	2	44	427	195	0	3	0.833	6	16	17	1	1	0
3	James Reimer	Seattle Kraken	3	2	1	0	0.895	2.94	184	2	9	86	39	1	0	0	0	3	1	0	0	0
Team Total or Average			34	14	18	1	0.906	2.76	2002	6	92	978	426	2	3		18	33	33	2	2	1

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex DeBrincat (1 Way Contract)	Seattle Kraken	LW	27	1997-12-18	USA	No	165 Lbs	5 ft7	No	No	Trade	2026-03-14	No	No	2	2025-09-30	False	False	Pro & Farm	6,000,067$	3,351,101$	0$	0$	No	6,000,067$	-	-	-	-	-	-	-	-	6,000,067$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Alexandre Carrier (1 Way Contract)	Seattle Kraken	D	28	1996-10-08	CAN	No	174 Lbs	5 ft11	Yes	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro Only	8,500,000$	4,747,340$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alexandre Texier (1 Way Contract)	Seattle Kraken	LW	25	1999-09-13	FRA	No	194 Lbs	6 ft1	No	No	Trade	2026-04-04	No	No	4	2025-10-10	False	False	Pro & Farm	4,000,000$	2,234,043$	0$	0$	No	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Andrew Peeke	Seattle Kraken	D	27	1998-03-17	USA	No	216 Lbs	6 ft3	No	No	Free Agent		No	No	2	2025-10-17	False	False	Pro & Farm	1,500,000$	837,766$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Calle Jarnkrok (1 Way Contract)	Seattle Kraken	C	33	1991-09-25	SWE	No	185 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-10-17	False	False	Pro & Farm	2,150,000$	1,200,798$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Calvin Pickard (1 Way Contract)	Seattle Kraken	G	33	1992-04-15	CAN	No	205 Lbs	6 ft1	Yes	No	Free Agent		No	No	2	2025-10-10	False	False	Pro Only	2,750,000$	1,535,904$	0$	0$	No	2,750,000$	-	-	-	-	-	-	-	-	2,750,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link
Dante Fabbro	Seattle Kraken	D	27	1998-06-20	CAN	No	190 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	1,500,000$	837,766$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Darnell Nurse (1 Way Contract)	Seattle Kraken	D	30	1995-02-04	CAN	No	220 Lbs	6 ft4	No	No	Free Agent		No	No	3	2025-10-20	False	False	Pro & Farm	2,000,000$	1,117,021$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dylan Cozens	Seattle Kraken	C	24	2001-02-09	CAN	No	194 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	1,750,000$	977,394$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Elvis Merzlikins (1 Way Contract)	Seattle Kraken	G	31	1994-04-13	LVA	No	183 Lbs	6 ft3	Yes	No	Free Agent		No	No	2	2025-10-10	False	False	Pro Only	3,000,000$	1,675,532$	0$	0$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link
Evgeny Kuznetsov (1 Way Contract)	Seattle Kraken	C	33	1992-05-19	RUS	No	205 Lbs	6 ft1	Yes	No	Free Agent		No	No	2	2025-10-07	False	False	Pro Only	5,500,000$	3,071,809$	0$	0$	No	5,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link
James Reimer (1 Way Contract)	Seattle Kraken	G	37	1988-03-15	CAN	No	205 Lbs	6 ft3	Yes	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro Only	2,750,000$	1,535,904$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonathan Huberdeau (1 Way Contract)	Seattle Kraken	RW	32	1993-06-04	CAN	No	203 Lbs	6 ft1	No	No	Free Agent		No	No	2	2025-10-03	False	False	Pro & Farm	3,000,000$	1,675,532$	0$	0$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Justin Danforth	Seattle Kraken	RW	32	1993-03-15	CAN	No	181 Lbs	5 ft9	No	No	Free Agent		No	No	1	2025-10-27	False	False	Pro & Farm	1,000,000$	558,511$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kevin Bahl	Seattle Kraken	D	25	2000-06-27	CAN	No	229 Lbs	6 ft6	No	No	Free Agent		No	No	4	2025-10-17	False	False	Pro & Farm	1,750,000$	977,394$	0$	0$	No	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Leon Draisaitl (1 Way Contract)	Seattle Kraken	C	29	1995-10-27	DEU	No	207 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-10-06	False	False	Pro & Farm	6,200,000$	3,462,766$	0$	0$	No	6,200,000$	6,200,000$	6,200,000$	-	-	-	-	-	-	6,200,000$	6,200,000$	6,200,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Mario Ferraro	Seattle Kraken	D	26	1998-09-17	CAN	No	185 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-10-17	False	False	Pro & Farm	1,750,000$	977,394$	0$	0$	No	1,750,000$	1,750,000$	-	-	-	-	-	-	-	1,750,000$	1,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Oliver Bjorkstrand (1 Way Contract)	Seattle Kraken	LW	30	1995-04-10	DNK	No	176 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-09-30	False	False	Pro & Farm	4,200,000$	2,345,745$	0$	0$	No	4,200,000$	4,200,000$	-	-	-	-	-	-	-	4,200,000$	4,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Thomas Chabot (1 Way Contract)	Seattle Kraken	D	28	1997-01-30	CAN	No	196 Lbs	6 ft2	Yes	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro Only	4,500,000$	2,513,298$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tim Stutzle	Seattle Kraken	RW	23	2002-01-15	DEU	No	190 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	2,000,000$	1,117,021$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Travis Dermott	Seattle Kraken	D	28	1996-12-22	CAN	No	203 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	500,000$	279,255$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.95	196 Lbs	6 ft1	2.05	3,157,146$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
66,300,067$	43,150,067$	19,900,000$	11,950,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex DeBrincat	Leon Draisaitl	Jonathan Huberdeau	37	0	1	4
2	Oliver Bjorkstrand	Evgeny Kuznetsov	Tim Stutzle	31	0	2	3
3	Alexandre Texier	Dylan Cozens	Justin Danforth	31	0	2	3
4	Oliver Bjorkstrand	Calle Jarnkrok	Jonathan Huberdeau	1	0	5	0

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Alexandre Carrier	40	0	4	1
2	Mario Ferraro	Kevin Bahl	40	0	4	1
3	Darnell Nurse	Dante Fabbro	10	0	4	1
4	Andrew Peeke	Travis Dermott	10	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex DeBrincat	Leon Draisaitl	Tim Stutzle	60	0	0	5
2	Alexandre Texier	Evgeny Kuznetsov	Oliver Bjorkstrand	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Dylan Cozens	60	0	0	5
2	Darnell Nurse	Dante Fabbro	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dylan Cozens	Alexandre Texier	60	0	5	0
2	Calle Jarnkrok	Tim Stutzle	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Alexandre Carrier	60	0	5	0
2	Darnell Nurse	Kevin Bahl	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Dylan Cozens	60	0	5	0	Thomas Chabot	Alexandre Carrier	60	0	5	0
2	Calle Jarnkrok	40	0	5	0	Darnell Nurse	Kevin Bahl	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Leon Draisaitl	Alexandre Texier	60	0	2	3
2	Oliver Bjorkstrand	Evgeny Kuznetsov	40	0	3	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Alexandre Carrier	60	0	3	2
2	Darnell Nurse	Kevin Bahl	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Dylan Cozens	Leon Draisaitl	Tim Stutzle	Thomas Chabot	Alexandre Carrier

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex DeBrincat	Leon Draisaitl	Tim Stutzle	Thomas Chabot	Alexandre Carrier

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dylan Cozens, Oliver Bjorkstrand, Leon Draisaitl	Dylan Cozens, Tim Stutzle	Alexandre Texier

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mario Ferraro, Dante Fabbro, Andrew Peeke	Mario Ferraro	Dante Fabbro, Andrew Peeke

Penalty Shots
Leon Draisaitl, Tim Stutzle, Oliver Bjorkstrand, Evgeny Kuznetsov, Alex DeBrincat

Goalie
#1 : Calvin Pickard, #2 : Elvis Merzlikins

Custom OT Lines Forwards
Leon Draisaitl, Tim Stutzle, Oliver Bjorkstrand, Evgeny Kuznetsov, Alex DeBrincat, Alexandre Texier, Dylan Cozens, Jonathan Huberdeau, Calle Jarnkrok, Justin Danforth

Custom OT Lines Defensemen
Thomas Chabot, Alexandre Carrier, Darnell Nurse, Kevin Bahl, Mario Ferraro

Show or Hide Columns

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	Anaheim Mighty Ducks	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	2	3	0	0	0	1	0	0	32	6	12	14	0	22	3	6	19	3	0	0.00%	3	1	66.67%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	23	13	17	8	18	10
2	Boston Bruins	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	23	7	4	12	0	32	4	18	25	6	0	0.00%	4	1	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	21	10	20	9	18	9
3	California Golden Seals	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	23	6	7	10	0	27	7	8	20	6	0	0.00%	4	0	100.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	21	11	20	10	18	9
4	Carolina Hurricanes	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	1	1	0	26	2	10	14	0	27	13	14	14	2	0	0.00%	7	2	71.43%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	21	12	20	9	17	8
5	Chicago Blackhawks	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	1	2	6	1.000	7	13	20	0	0	2	3	2	0	59	17	24	18	0	61	14	23	45	2	1	50.00%	9	0	100.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	40	23	45	18	33	16
6	Colorado Avalanche	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.333	5	6	11	0	0	1	1	2	1	60	17	19	24	3	62	17	25	41	3	0	0.00%	10	1	90.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	41	23	47	19	36	17
7	Columbus Blue Jackets	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	6	9	0	0	1	0	2	0	61	19	10	32	0	67	20	31	43	11	1	9.09%	8	2	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	43	25	45	18	31	15
8	Detroit Red Wings	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	5	-4	3	0.500	4	6	10	0	0	1	2	1	0	42	10	14	18	0	63	22	20	37	7	1	14.29%	10	1	90.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	38	21	46	19	34	17
9	Edmonton Oilers	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	3	0.500	6	10	16	0	0	1	4	1	0	57	15	25	17	0	73	28	18	47	5	0	0.00%	9	2	77.78%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	40	21	45	18	34	17
10	Florida Panthers	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	1	0	1	0	25	11	5	9	0	37	12	19	22	2	1	50.00%	7	1	85.71%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	20	10	21	9	17	8
11	Los Angeles Kings	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	4	1	6	1.000	8	13	21	0	0	3	3	2	0	54	20	20	14	0	62	27	16	34	7	2	28.57%	8	0	100.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	39	21	45	17	34	17
12	New Jersey Devils	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	0.667	3	3	6	0	0	0	1	1	2	33	4	18	6	8	25	8	10	19	5	0	0.00%	5	1	80.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	22	11	21	10	20	11
13	New York Islanders	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	28	12	6	10	0	29	11	6	22	1	0	0.00%	3	1	66.67%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	19	11	21	9	18	8
14	New York Rangers	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	3	1.000	3	4	7	0	0	0	1	2	0	21	1	5	15	0	29	9	6	20	2	1	50.00%	3	0	100.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	18	8	21	9	19	10
15	Philadelphia Flyers	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	24	13	3	8	0	38	10	23	10	4	0	0.00%	4	1	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	19	11	24	9	15	7
16	Pittsburgh Penguins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	2	0	0	0	24	4	13	7	0	29	7	8	19	3	2	66.67%	4	1	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	17	8	24	9	18	9
17	San Jose Sharks	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	2	-1	1	0.333	1	2	3	0	0	0	1	0	0	21	6	10	3	2	38	15	6	19	0	0	0%	3	1	66.67%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	20	11	22	9	18	9
18	St Louis Blues	2	0	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	0	1	0	3	2	1	2	0.333	6	8	14	0	0	1	4	0	1	63	27	22	11	9	63	23	15	42	7	0	0.00%	5	1	80.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	45	26	42	19	36	18
19	Tampa Bay Lightning	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	0.667	3	3	6	0	0	0	1	1	2	31	8	14	7	8	34	12	14	30	4	1	25.00%	2	1	50.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	24	13	21	9	19	10
20	Toronto Maple Leafs	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	0.667	3	5	8	0	0	2	0	0	1	31	14	5	8	4	29	6	8	14	5	2	40.00%	4	1	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	23	13	22	9	18	9
21	Vancouver Canucks	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	2	4	-2	3	0.500	8	12	20	1	0	2	6	0	0	34	11	17	6	0	52	11	46	39	10	4	40.00%	9	2	77.78%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	41	21	39	20	39	20
22	Vegas Golden Knights	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	3	0.500	4	4	8	1	0	0	3	1	0	54	9	28	17	0	32	19	24	28	9	0	0.00%	12	3	75.00%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	40	20	37	20	42	20
23	Winnipeg Jets	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	9	14	1	0	0	5	0	0	57	17	31	9	0	50	20	18	35	4	0	0.00%	9	2	77.78%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	43	24	40	18	35	18
	Total	33	9	18	0	1	1	4	0	78	95	-17	15	7	6	0	1	0	1	0	42	37	5	18	2	12	0	0	1	3	0	36	58	-22	38	0.384	78	117	195	3	0	18	37	18	7	883	256	322	289	34	981	318	382	644	108	16	14.81%	142	26	81.69%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	690	378	716	315	599	303
	_Since Last GM Reset	33	9	18	0	1	1	4	0	78	95	-17	15	7	6	0	1	0	1	0	42	37	5	18	2	12	0	0	1	3	0	36	58	-22	38	0.384	78	117	195	3	0	18	37	18	7	883	256	322	289	34	981	318	382	644	108	16	14.81%	142	26	81.69%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	690	378	716	315	599	303
	_Vs Conference	23	8	12	0	0	1	2	0	59	65	-6	11	6	5	0	0	0	0	0	33	29	4	12	2	7	0	0	1	2	0	26	36	-10	29	0.420	59	92	151	3	0	12	33	12	2	617	180	239	193	14	672	226	256	449	74	9	12.16%	99	16	83.84%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	480	264	495	218	415	210
	_Vs Division	9	4	4	0	0	1	0	0	23	25	-2	4	3	1	0	0	0	0	0	13	9	4	5	1	3	0	0	1	0	0	10	16	-6	13	0.481	23	34	57	2	0	5	14	4	0	218	58	94	64	2	233	82	106	159	35	6	17.14%	39	7	82.05%	0	332	670	49.55%	435	804	54.10%	230	453	50.77%	187	99	182	87	171	86

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
33	38	W5	78	117	195	883	981	318	382	644	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	9	18	1	1	4	0	78	95

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	7	6	1	0	1	0	42	37

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	2	12	0	1	3	0	36	58

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
108	16	14.81%	142	26	81.69%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
256	322	289	34	18	37	18	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
332	670	49.55%	435	804	54.10%	230	453	50.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
690	378	716	315	599	303

Last Played Games Show or Hide Columns

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
2	11	Seattle Kraken	1	Anaheim Mighty Ducks	3	L			Box score
4	25	Seattle Kraken	1	San Jose Sharks	2	L	X		Box score
6	39	Seattle Kraken	5	Los Angeles Kings	4	W			Box score
8	56	Colorado Avalanche	2	Seattle Kraken	1	L			Box score
10	68	Vegas Golden Knights	2	Seattle Kraken	3	W			Box score
12	81	Seattle Kraken	2	Vancouver Canucks	4	L			Box score
14	96	California Golden Seals	3	Seattle Kraken	1	L			Box score
15	102	Seattle Kraken	2	Carolina Hurricanes	4	L			Box score
18	122	Seattle Kraken	1	New York Islanders	3	L			Box score
20	138	Seattle Kraken	2	Florida Panthers	5	L			Box score
24	151	Columbus Blue Jackets	4	Seattle Kraken	2	L			Box score
26	164	Winnipeg Jets	5	Seattle Kraken	3	L			Box score
29	176	Chicago Blackhawks	1	Seattle Kraken	4	W			Box score
31	186	Seattle Kraken	2	Edmonton Oilers	4	L			Box score
35	205	Detroit Red Wings	2	Seattle Kraken	3	W			Box score
39	224	Seattle Kraken	3	St Louis Blues	2	W	X	X	Box score
42	238	St Louis Blues	4	Seattle Kraken	3	L			Box score
45	249	Seattle Kraken	1	Detroit Red Wings	5	L			Box score
48	266	Edmonton Oilers	2	Seattle Kraken	4	W			Box score
51	279	Seattle Kraken	3	Chicago Blackhawks	1	W			Box score
54	291	Seattle Kraken	2	Winnipeg Jets	3	L			Box score
57	305	Seattle Kraken	1	Columbus Blue Jackets	2	L			Box score
60	318	Boston Bruins	2	Seattle Kraken	0	L			Box score
62	327	Seattle Kraken	0	Philadelphia Flyers	4	L			Box score
64	344	Seattle Kraken	2	Pittsburgh Penguins	4	L			Box score
66	355	Toronto Maple Leafs	2	Seattle Kraken	3	W	X		Box score
68	370	Vancouver Canucks	3	Seattle Kraken	6	W			Box score
70	386	Seattle Kraken	1	Vegas Golden Knights	3	L			Box score
72	406	Seattle Kraken	4	Colorado Avalanche	3	W	X	X	Box score
74	416	Los Angeles Kings	1	Seattle Kraken	3	W			Box score
76	425	Seattle Kraken	3	New Jersey Devils	2	W	X	X	Box score
78	440	Tampa Bay Lightning	2	Seattle Kraken	3	W	X	X	Box score
80	453	New York Rangers	2	Seattle Kraken	3	W			Box score
84	476	Seattle Kraken	-	Edmonton Oilers	-
86	484	Seattle Kraken	-	Detroit Red Wings	-
89	502	St Louis Blues	-	Seattle Kraken	-
92	518	Hamilton Mustangs	-	Seattle Kraken	-
93	525	Seattle Kraken	-	Hamilton Mustangs	-
95	537	Seattle Kraken	-	Montreal Canadiens	-
98	558	Montreal Canadiens	-	Seattle Kraken	-
100	570	Ottawa Senators	-	Seattle Kraken	-
102	585	Seattle Kraken	-	Quebec Nordiques	-
105	602	San Jose Sharks	-	Seattle Kraken	-
107	612	Anaheim Mighty Ducks	-	Seattle Kraken	-
111	629	Seattle Kraken	-	California Golden Seals	-
114	644	Seattle Kraken	-	Columbus Blue Jackets	-
117	658	Winnipeg Jets	-	Seattle Kraken	-
119	668	Seattle Kraken	-	Chicago Blackhawks	-
122	679	Pittsburgh Penguins	-	Seattle Kraken	-
124	699	Philadelphia Flyers	-	Seattle Kraken	-
126	713	Seattle Kraken	-	Boston Bruins	-
128	726	Florida Panthers	-	Seattle Kraken	-
129	730	New York Islanders	-	Seattle Kraken	-
131	746	Carolina Hurricanes	-	Seattle Kraken	-
135	767	Seattle Kraken	-	Vancouver Canucks	-
137	782	Vegas Golden Knights	-	Seattle Kraken	-
139	798	Seattle Kraken	-	Colorado Avalanche	-
142	809	Los Angeles Kings	-	Seattle Kraken	-
144	817	Seattle Kraken	-	Toronto Maple Leafs	-
147	840	New Jersey Devils	-	Seattle Kraken	-
149	851	Seattle Kraken	-	Tampa Bay Lightning	-
151	862	Seattle Kraken	-	New York Rangers	-
153	873	Seattle Kraken	-	Ottawa Senators	-
155	885	Quebec Nordiques	-	Seattle Kraken	-
158	903	Edmonton Oilers	-	Seattle Kraken	-
160	911	Detroit Red Wings	-	Seattle Kraken	-
162	929	Seattle Kraken	-	St Louis Blues	-
164	944	Chicago Blackhawks	-	Seattle Kraken	-
166	956	Seattle Kraken	-	Winnipeg Jets	-
168	970	Columbus Blue Jackets	-	Seattle Kraken	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	982	Vancouver Canucks	-	Seattle Kraken	-
173	998	Seattle Kraken	-	Vegas Golden Knights	-
175	1015	Colorado Avalanche	-	Seattle Kraken	-
177	1026	Seattle Kraken	-	Los Angeles Kings	-
180	1047	Seattle Kraken	-	San Jose Sharks	-
181	1061	San Jose Sharks	-	Seattle Kraken	-
183	1075	Seattle Kraken	-	Anaheim Mighty Ducks	-
184	1089	Anaheim Mighty Ducks	-	Seattle Kraken	-
186	1104	California Golden Seals	-	Seattle Kraken	-
187	1114	Seattle Kraken	-	California Golden Seals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5940	4860	1980	3960	1260
Ticket Price	92	51	30	23	186
Attendance	73,773	58,066	25,683	46,835	15,283
Attendance PCT	82.80%	79.65%	86.47%	78.85%	80.86%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
25	14643 - 81.35%	1,068,472$	16,027,083$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
31,891,363$	76,325,067$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	31,891,363$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
26,711,805$	105	405,984$	42,628,320$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
44,171,190$	45,236,024$	29,243,411$

Depth Chart

Left Wing

Center

Right Wing

Alex DeBrincat	AGE:27	PO:55	OV:78
Oliver Bjorkstrand	AGE:30	PO:55	OV:78
Alexandre Texier	AGE:25	PO:55	OV:77
Matias Maccelli (R)	AGE:24	PO:55	OV:77
Juraj Slafkovsky (R)	AGE:21	PO:55	OV:70
Sven Andrighetto	AGE:32	PO:55	OV:69
Andrew Agozzino	AGE:34	PO:55	OV:67
Cole Koepke	AGE:27	PO:55	OV:67
LARS BRYGGMAN	AGE:32	PO:52	OV:67
Mathias Brome	AGE:30	PO:55	OV:66

Leon Draisaitl	AGE:29	PO:55	OV:84
Evgeny Kuznetsov	AGE:33	PO:55	OV:78
Dylan Cozens	AGE:24	PO:55	OV:77
Juuso Parssinen (R)	AGE:24	PO:55	OV:75
Calle Jarnkrok	AGE:33	PO:55	OV:70
Cole Sillinger (R)	AGE:22	PO:55	OV:68
Sheldon Dries	AGE:31	PO:55	OV:68
Tommy Novak	AGE:28	PO:55	OV:67
Jansen Harkins	AGE:28	PO:55	OV:66
Steven Lorentz	AGE:29	PO:55	OV:66

Tim Stutzle	AGE:23	PO:55	OV:82
Jonathan Huberdeau	AGE:32	PO:55	OV:77
Philip Tomasino (R)	AGE:23	PO:55	OV:76
Justin Danforth	AGE:32	PO:55	OV:70
Mikhail Grigorenko	AGE:31	PO:55	OV:69
Jacob De La Rose	AGE:30	PO:55	OV:68
Maxim Tsyplakov	AGE:26	PO:55	OV:67
Ty Rattie	AGE:32	PO:55	OV:64
Blake Speers	AGE:28	PO:55	OV:63

Defense #1

Defense #2

Goalie

Thomas Chabot	AGE:28	PO:55	OV:80
Alexandre Carrier	AGE:28	PO:55	OV:78
Darnell Nurse	AGE:30	PO:55	OV:78
Kevin Bahl	AGE:25	PO:55	OV:77
Mario Ferraro	AGE:26	PO:55	OV:77
Dante Fabbro	AGE:27	PO:55	OV:76
Andrew Peeke	AGE:27	PO:55	OV:75
Travis Dermott	AGE:28	PO:55	OV:74
Jayden Struble (R)	AGE:23	PO:55	OV:73

Jordan Spence (R)	AGE:24	PO:55	OV:73
Kevin Gravel	AGE:33	PO:55	OV:72
Henry Thrun (R)	AGE:24	PO:55	OV:70
Markus Niemelainen	AGE:27	PO:55	OV:70
JOEL NYSTROM	AGE:23	PO:52	OV:70
Albert Johansson (R)	AGE:24	PO:55	OV:69
Jordan Oesterle	AGE:33	PO:55	OV:69
Alexey Marchenko	AGE:33	PO:55	OV:68
Niko Mikkola	AGE:29	PO:55	OV:67

Calvin Pickard	AGE:33	PO:55	OV:80
Elvis Merzlikins	AGE:31	PO:55	OV:80
James Reimer	AGE:37	PO:55	OV:78
David Rittich	AGE:32	PO:55	OV:75
Scott Wedgewood	AGE:32	PO:55	OV:75
Joel Blomqvist (R)	AGE:23	PO:55	OV:73

Prospects

Show or Hide Columns

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	Information	Link
00 Y26-MTL-6	Seattle Kraken	0	0
0x LTCs	Seattle Kraken	0	0
0x RFA Tag (Leon Draisaitl Y26)	Seattle Kraken	0	0
1 000 000 NSHL25 Waiver Bucks	Seattle Kraken	0	0
16x TC PTS	Seattle Kraken	0	0
1x NSHL26 ODW Claim	Seattle Kraken	0	0
30x CON Points	Seattle Kraken	0	0	0	Link
Alex Beaucage	Seattle Kraken	19	77	0	Link
Antti Tuomisto	Seattle Kraken	19	54	0	Link
Arseni Gritsyuk	Seattle Kraken	20	124	0	Link
Arturs Silovs	Seattle Kraken	23	99	0	Link
Brad Lambert	Seattle Kraken	22	28	0	Link
Brett Berard	Seattle Kraken	20	101	0	Link
Brett Solomon	Seattle Kraken	25	156	0	Link
Caeden Bankier	Seattle Kraken	23	86	0	Link
Cross Hanas	Seattle Kraken	22	162	0	Link
David Goyette	Seattle Kraken	22	44	0	Link
Emil Andrae	Seattle Kraken	20	49	0	Link
Francesco Dell'elce	Seattle Kraken	25	61	0	Link
Hugo Alnefelt	Seattle Kraken	20	73	0	Link
Ilya Safonov	Seattle Kraken	23	53	0	Link
Jack Peart	Seattle Kraken	21	58	0	Link
Jakob Ihs-Wozniak	Seattle Kraken	25	43	0	Link
John Beecher	Seattle Kraken	19	32	0	Link
Josh Filmon	Seattle Kraken	23	87	0	Link
Josh Nodler	Seattle Kraken	19	126	0	Link
Justin Gill	Seattle Kraken	24	155	0	Link
Justin Hryckowian	Seattle Kraken	24	131	0	Link
Kasper Simontaival	Seattle Kraken	20	100	0	Link
Kirill Kudryavtsev	Seattle Kraken	23	160	0	Link
Kurban Limatov	Seattle Kraken	25	45	0	Link
Landon Slaggert	Seattle Kraken	21	108	0	Link
Mackie Samoskevich	Seattle Kraken	21	33	0	Link
Macklin Celebrini	Seattle Kraken	24	1	0	Link
Marat Khusnutdinov	Seattle Kraken	20	46	0	Link
Niko Huuhtanen	Seattle Kraken	23	74	0	Link
Owen Griffin	Seattle Kraken	25	191	0	Link
Sam Laurila	Seattle Kraken	25	165	0	Link
Sandis Vilmanis	Seattle Kraken	24	106	0	Link
Simon Robertsson	Seattle Kraken	21	77	0	Link
Stanislav Svozil	Seattle Kraken	21	121	0	Link
Theo Stockselius	Seattle Kraken	25	65	0	Link
Topias Vilen	Seattle Kraken	23	156	0	Link
Travis Hayes	Seattle Kraken	25	136	0	Link
Ty Nelson	Seattle Kraken	22	69	0	Link
Tyson Hinds	Seattle Kraken	23	50	0	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
26
27
28
29
30
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.

Seattle Kraken Trade History

[2026-04-14 3:08:41 PM] New Record for Team's Most Hits (30) in 1 Game for Seattle Kraken!
[2026-04-08 2:42:03 PM] New Record for Team's Most Shots (38) in 1 Game for Seattle Kraken!
[2026-04-06 3:11:11 PM] TRADE : From Seattle Kraken to Montreal Canadiens : Miikka Salomaki (70).
[2026-04-06 3:11:11 PM] TRADE : From Montreal Canadiens to Seattle Kraken : $200,000 (Money).
[2026-04-04 11:58:05 AM] 10x TC PTS has been deleted from Seattle Kraken.
[2026-04-04 11:57:53 AM] TRADE : From Vegas Golden Knights to Seattle Kraken : Alexandre Texier (77), 10x TC PTS (P).
[2026-04-04 11:57:53 AM] TRADE : From Seattle Kraken to Vegas Golden Knights : Luke Evangelista (71), Noah Laba (P), Y:26-RND:1-TBL.
[2026-04-04 10:28:23 AM] New Record for Team's Most Penalties Minutes (38) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Points (14) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Assists (8) in 1 Game for Seattle Kraken!
[2026-04-04 10:28:23 AM] New Record for Team's Most Goals (6) in 1 Game for Seattle Kraken!
[2026-03-16 10:34:49 AM] New Record for Team's Most Hits (27) in 1 Game for Seattle Kraken!
[2026-03-14 4:41:40 PM] TRADE : From Seattle Kraken to Montreal Canadiens : Kirill Kaprizov (78), Y:26-RND:7-SEA.
[2026-03-14 4:41:40 PM] TRADE : From Montreal Canadiens to Seattle Kraken : Alex DeBrincat (78).
[2026-03-10 3:02:43 PM] New Record for Team's Most Shots (35) in 1 Game for Seattle Kraken!
[2026-02-27 3:59:06 PM] New Record for Team's Most Shots Blocked (16) in 1 Game for Seattle Kraken!
[2026-02-20 11:04:42 AM] New Record for Team's Most Penalties Minutes (25) in 1 Game for Seattle Kraken!
[2026-02-06 3:11:23 PM] New Record for Team's Most Hits (24) in 1 Game for Seattle Kraken!
[2026-02-02 3:12:10 PM] New Record for Team's Most Penalties Minutes (21) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Points (12) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Assists (7) in 1 Game for Seattle Kraken!
[2026-01-31 10:15:19 AM] New Record for Team's Most Goals (5) in 1 Game for Seattle Kraken!
[2026-01-29 10:02:20 AM] New Record for Team's Most Shots Blocked (15) in 1 Game for Seattle Kraken!

No Injury or Suspension.

Seattle Kraken Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Seattle Kraken Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Seattle Kraken Career Team Stats

Show or Hide Columns

	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

Seattle Kraken Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Seattle Kraken Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Seattle Kraken
	GP: 33 \| W: 14 \| L: 18 \| OTL: 1 \| P: 38 GF: 78 \| GA: 95 \| PP%: 14.81% \| PK%: 81.69% GM : Ray Z \| Morale : 40 \| Team Overall : 77 Next Games #476 vs Edmonton Oilers