Milwaukee Admirals
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Team Leaders

Team Stats

Team Info
	General Manager	Sebastien Doyon
	Coach	Rod Brind'Amour
	Division	Mario Lemieux
	Conference	Gordie Howe
	Captain	Nathan MacKinnon
	Assistant #1
	Assistant #2	Wayne Simmonds
Arena Info
	Name	No Name Arena
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	22
	Farm Team	24
	Contract Limit	46 / 55
	Prospects	48
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	82,500,000$
	Special Salary Cap Value	2,937,500$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	58,550,647$
	Projected Bank Account	58,550,647$
Team History
	This Season	0-0
	History	258-257-53 (0.454%)
	Playoff Appearances	0
	Playoff Record (W-L)	0-0
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Nathan MacKinnon (C)	X		X		100.00	71	43	78	97	73	84	87	98	80	96	86	55	84	71	73	81	44	78	0	25	2	6,300,000$
2	James van Riemsdyk		X			100.00	69	43	91	78	80	74	91	82	45	74	79	55	54	79	83	76	58	71	0	32	2	7,000,000$
3	Victor Olofsson		X	X		100.00	61	41	96	85	66	76	85	83	44	79	72	52	25	58	58	71	53	68	0	25	1	3,050,000$
4	Artem Anisimov	X	X			100.00	65	42	96	82	75	62	59	73	57	78	60	63	61	79	81	67	58	67	0	33	2	5,700,000$
5	Troy Terry	X		X		100.00	57	40	88	77	65	68	83	76	44	74	77	56	63	59	59	69	59	67	0	23	2	1,450,000$
6	Frederick Gaudreau	X				100.00	65	41	96	77	65	64	59	65	86	78	60	85	25	59	59	68	58	66	0	28	2	1,200,000$
7	Wayne Simmonds (A)		X	X		100.00	82	92	68	77	73	61	79	73	45	59	68	60	61	82	85	67	67	66	0	32	2	900,000$
8	Filip Chytil	X	X	X		100.00	63	42	91	82	76	64	78	64	71	72	68	58	25	62	63	69	68	65	0	21	2	2,300,000$
9	Jake Debrusk		X	X		100.00	71	42	94	82	68	68	80	65	37	67	65	62	45	64	67	66	41	65	0	24	1	3,675,000$
10	Kyle Turris	X		X		100.00	67	42	88	82	71	62	68	61	74	60	58	75	70	77	80	68	68	65	0	31	1	6,000,000$
11	Daniel Sprong			X		100.00	69	43	90	84	73	59	74	61	44	62	78	51	75	63	63	72	63	64	0	24	1	725,000$
12	Zac Dalpe	X	X	X		100.00	73	43	99	54	73	57	47	57	53	58	70	78	25	59	60	66	66	60	0	31	1	1,400,000$
13	Kris Letang				X	100.00	82	45	83	90	73	91	88	84	25	81	55	78	81	80	87	70	54	77	1	34	1	7,250,000$
14	Brett Pesce				X	100.00	61	42	88	83	77	86	88	67	25	68	50	91	80	69	70	66	53	73	0	26	1	3,675,000$
15	Josh Morrissey				X	100.00	79	44	86	86	71	88	91	80	25	64	51	76	25	65	67	65	54	72	0	26	4	6,250,000$
16	Josh Manson				X	100.00	92	47	65	82	82	74	61	56	25	55	49	91	25	67	68	64	29	71	0	29	1	4,100,000$
17	John Moore				X	100.00	76	66	82	86	78	67	43	55	24	41	47	72	69	71	74	61	68	64	0	30	2	2,750,000$
18	Mark Pysyk				X	100.00	75	44	83	70	74	57	73	62	25	45	48	67	25	68	69	58	57	62	0	29	1	900,000$
Scratches
1	William Carrier		X			100.00	90	46	90	80	79	56	91	60	36	63	63	58	25	63	65	65	34	63	0	26	3	1,400,000$
2	Brett Ritchie			X		100.00	96	48	78	77	83	59	61	59	33	56	59	60	25	66	67	63	23	61	0	28	1	900,000$
Farm Team
1	Reese Johnson			X		100.00	76	71	86	69	71	70	62	65	50	64	63	63	55	44	44	60	41	60	0	22	1	700,000$
2	Peyton Krebs (R)	X	X			100.00	68	66	72	76	66	53	50	65	80	64	60	59	55	44	44	63	48	59	0	20	3	863,333$
3	Axel Jonsson Fjallby (R)		X			100.00	74	68	89	65	68	67	70	57	50	47	62	62	59	44	44	62	16	57	0	23	1	860,000$
4	Nikita Scherbak		X	X		100.00	77	72	87	60	72	57	57	60	50	59	57	65	54	44	44	61	45	57	0	25	1	700,000$
5	Jamieson Rees (R)	X				100.00	61	63	57	64	63	59	60	59	74	50	63	56	60	44	44	59	49	55	0	20	3	910,833$
6	Evan Weinger			X		100.00	72	70	75	66	70	57	59	52	50	47	53	60	50	44	44	56	43	54	0	24	1	700,000$
7	Tanner MacMaster	X				100.00	69	68	70	65	68	58	62	47	59	41	47	57	45	44	44	52	50	52	0	25	1	700,000$
8	Drake Rymsha	X				100.00	77	68	99	53	68	45	46	44	55	38	44	61	42	44	44	50	28	49	0	22	1	733,333$
9	Nils Lundkvist (R)				X	100.00	75	46	88	78	70	70	79	62	25	50	40	70	25	49	49	61	50	63	0	20	3	925,000$
10	Bowen Byram (R)				X	100.00	75	44	85	72	75	70	75	69	50	64	63	61	25	44	44	70	50	62	0	20	2	894,167$
11	Dakota Mermis				X	100.00	81	42	83	67	71	73	55	62	24	48	48	71	79	55	55	60	22	61	0	27	1	750,000$
12	Calen Addison (R)				X	100.00	70	66	80	72	66	68	71	59	25	52	52	61	49	44	44	60	40	59	0	21	2	795,000$
13	Tarmo Reunanen (R)				X	100.00	71	68	77	68	68	61	62	61	25	55	52	62	49	44	44	60	37	58	0	23	1	925,000$
14	Logan Day				X	100.00	78	75	84	68	75	58	60	54	25	54	40	64	38	44	44	55	21	58	0	26	1	750,000$
15	Connor Mackey (R)				X	100.00	75	72	83	60	72	59	61	55	25	52	43	62	41	44	44	55	59	57	0	24	1	925,000$
16	Nate Prosser				X	100.00	72	72	73	60	75	60	56	46	24	35	37	64	25	66	68	61	25	56	0	35	1	770,000$
17	Hubert Labrie				X	100.00	69	69	69	67	69	60	64	45	25	35	39	58	37	49	49	50	48	55	0	29	1	700,000$
18	Thomas Hickey				X	100.00	68	65	76	55	68	48	39	48	24	38	37	63	75	68	70	55	33	54	0	32	1	2,500,000$
19	Jordan Gross				X	100.00	77	68	99	66	68	53	56	41	25	28	39	60	37	44	44	49	49	53	0	26	1	700,000$
20	Chris Bigras				X	100.00	76	71	88	63	71	55	56	53	25	46	42	66	40	57	57	54	48	58	0	26	1	750,000$

	TEAM AVERAGE					100.00	73	56	84	73	72	64	67	62	42	57	56	65	48	58	59	63	47	62

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	Jonathan Bernier	100.00	76	71	71	68	79	73	65	75	82	76	65	68	68	74	67	72	0	32	1	4,125,000$
2	Mackenzie Blackwood	100.00	73	79	76	90	77	68	62	72	74	72	77	56	56	72	66	71	0	24	2	2,800,000$
Scratches
Farm Team
1	Anton Forsberg	100.00	63	55	69	71	66	63	65	71	66	65	30	49	49	64	41	62	0	28	1	900,000$
2	Mat Robson (R)	100.00	52	58	73	78	51	55	50	57	53	52	30	44	44	53	46	55	0	25	1	750,000$
3	Felix Sandstrom (R)	100.00	52	53	66	75	53	53	50	57	52	52	30	44	44	53	20	54	0	24	1	750,000$
4	Tommy Nappier (R)	100.00	44	51	64	81	40	43	50	52	44	45	30	44	44	46	20	49	0	23	1	700,000$

	TEAM AVERAGE	100.00	60	61	70	77	61	59	57	64	62	60	44	51	51	60	43	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rod Brind'Amour	90	91	77	90	66	64	80	CAN	47	1	3,500,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Artem Anisimov	Jets	C/LW	33	1988-05-23	No	199 Lbs	6 ft4	No	No	No	2	Pro & Farm	5,700,000$	5,700,000$	0$	No	5,700,000$			Link / NHL Link
Brett Pesce	Jets	D	26	1994-11-14	No	206 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,675,000$	3,675,000$	0$	No				Link / NHL Link
Brett Ritchie	Jets	RW	28	1993-06-30	No	220 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No				Link / NHL Link
Daniel Sprong	Jets	RW	24	1997-03-17	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	725,000$	725,000$	0$	No				Link / NHL Link
Filip Chytil	Jets	C/LW/RW	21	1999-09-05	No	206 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,300,000$	2,300,000$	0$	No	2,300,000$			Link / NHL Link
Frederick Gaudreau	Jets	C	28	1993-05-01	No	179 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$			Link / NHL Link
Jake Debrusk	Jets	LW/RW	24	1996-10-17	No	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,675,000$	3,675,000$	0$	No				Link / NHL Link
James van Riemsdyk	Jets	LW	32	1989-05-04	No	217 Lbs	6 ft3	No	No	No	2	Pro & Farm	7,000,000$	7,000,000$	0$	No	7,000,000$			Link / NHL Link
John Moore	Jets	D	30	1990-11-19	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$			Link / NHL Link
Jonathan Bernier	Jets	G	32	1988-08-07	No	185 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	4,125,000$	4,125,000$	0$	No				Link / NHL Link
Josh Manson	Jets	D	29	1991-10-07	No	224 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,100,000$	4,100,000$	0$	No				Link / NHL Link
Josh Morrissey	Jets	D	26	1995-03-28	No	195 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,250,000$	6,250,000$	0$	No	6,250,000$	6,250,000$	6,250,000$	Link / NHL Link
Kris Letang	Jets	D	34	1987-04-24	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	7,250,000$	7,250,000$	0$	No				Link / NHL Link
Kyle Turris	Jets	C/RW	31	1989-08-14	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	0$	No				Link / NHL Link
Mackenzie Blackwood	Jets	G	24	1996-09-12	No	225 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$			Link / NHL Link
Mark Pysyk	Jets	D	29	1992-01-11	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No				Link / NHL Link
Nathan MacKinnon	Jets	C/RW	25	1995-09-01	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	6,300,000$	6,300,000$	0$	No	6,300,000$			Link / NHL Link
Troy Terry	Jets	C/RW	23	1997-09-10	No	174 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,450,000$	1,450,000$	0$	No	1,450,000$			Link / NHL Link
Victor Olofsson	Jets	LW/RW	25	1995-07-18	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,050,000$	3,050,000$	0$	No				Link / NHL Link
Wayne Simmonds	Jets	LW/RW	32	1988-08-26	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$			Link / NHL Link
William Carrier	Jets	LW	26	1994-12-20	No	218 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,400,000$	1,400,000$	0$	No	1,400,000$	1,400,000$		Link / NHL Link
Zac Dalpe	Jets	C/LW/RW	31	1989-11-01	No	197 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,400,000$	1,400,000$	0$	No				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.86	200 Lbs	6 ft2	1.64	3,356,818$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
73,850,000$	38,050,000$	7,650,000$	6,250,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James van Riemsdyk	Nathan MacKinnon	Victor Olofsson	40	1	2	2
2	Zac Dalpe	Artem Anisimov	Troy Terry	30	1	2	2
3	Jake Debrusk	Filip Chytil	Daniel Sprong	20	1	2	2
4	Wayne Simmonds	Frederick Gaudreau	Kyle Turris	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Pesce	Kris Letang	40	1	2	2
2	Josh Morrissey	Josh Manson	30	1	2	2
3	John Moore	Mark Pysyk	20	1	2	2
4	Josh Morrissey	Josh Manson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James van Riemsdyk	Nathan MacKinnon	Victor Olofsson	60	1	2	2
2	Wayne Simmonds	Troy Terry	Kyle Turris	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Mark Pysyk	60	1	2	2
2	Josh Morrissey	John Moore	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kyle Turris	Jake Debrusk	60	1	2	2
2	Zac Dalpe	Frederick Gaudreau	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Josh Manson	Brett Pesce	60	1	2	2
2	Josh Morrissey	John Moore	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Turris	60	1	2	2	Josh Manson	Brett Pesce	60	1	2	2
2	Zac Dalpe	40	1	2	2	Josh Morrissey	John Moore	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Troy Terry	60	1	2	2
2	Frederick Gaudreau	Zac Dalpe	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Josh Manson	Brett Pesce	60	1	2	2
2	Josh Morrissey	John Moore	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
James van Riemsdyk	Nathan MacKinnon	Victor Olofsson	Kris Letang	Josh Manson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Artem Anisimov	Frederick Gaudreau	Kyle Turris	Brett Pesce	Mark Pysyk

Extra Forwards
Normal	PowerPlay	Penalty Kill
Filip Chytil, Jake Debrusk, Daniel Sprong	Filip Chytil, Jake Debrusk	Daniel Sprong

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Josh Manson, Mark Pysyk, Josh Morrissey	Kris Letang	Mark Pysyk, Josh Morrissey

Penalty Shots
Nathan MacKinnon, Victor Olofsson, Wayne Simmonds, Frederick Gaudreau, Troy Terry

Goalie
#1 : Mackenzie Blackwood, #2 : Jonathan Bernier

Custom OT Lines Forwards
Artem Anisimov, Nathan MacKinnon, Wayne Simmonds, Frederick Gaudreau, Troy Terry, Kyle Turris, Kyle Turris, Filip Chytil, Jake Debrusk, Daniel Sprong, Zac Dalpe

Custom OT Lines Defensemen
Brett Pesce, Josh Manson, Josh Morrissey, John Moore, Kris Letang

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	95	60	45	27	210
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	73,850,000$	53,317,776$	0$	2,937,500$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	58,550,647$	58,550,647$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	82,500,000$	82,500,000$	-63,000,000$

Depth Chart

Left Wing

Center

Right Wing

James van Riemsdyk	AGE:32	PO:76	OV:71
Victor Olofsson	AGE:25	PO:71	OV:68
Artem Anisimov	AGE:33	PO:67	OV:67
Wayne Simmonds	AGE:32	PO:67	OV:66
Filip Chytil	AGE:21	PO:69	OV:65
Jake Debrusk	AGE:24	PO:66	OV:65
William Carrier	AGE:26	PO:65	OV:63
Zac Dalpe	AGE:31	PO:66	OV:60
Peyton Krebs (R)	AGE:20	PO:63	OV:59
Axel Jonsson Fjallby (R)	AGE:23	PO:62	OV:57
Nikita Scherbak	AGE:25	PO:61	OV:57

Nathan MacKinnon	AGE:25	PO:81	OV:78
Troy Terry	AGE:23	PO:69	OV:67
Artem Anisimov	AGE:33	PO:67	OV:67
Frederick Gaudreau	AGE:28	PO:68	OV:66
Filip Chytil	AGE:21	PO:69	OV:65
Kyle Turris	AGE:31	PO:68	OV:65
Zac Dalpe	AGE:31	PO:66	OV:60
Peyton Krebs (R)	AGE:20	PO:63	OV:59
Jamieson Rees (R)	AGE:20	PO:59	OV:55
Tanner MacMaster	AGE:25	PO:52	OV:52
Drake Rymsha	AGE:22	PO:50	OV:49

Nathan MacKinnon	AGE:25	PO:81	OV:78
Victor Olofsson	AGE:25	PO:71	OV:68
Troy Terry	AGE:23	PO:69	OV:67
Wayne Simmonds	AGE:32	PO:67	OV:66
Filip Chytil	AGE:21	PO:69	OV:65
Kyle Turris	AGE:31	PO:68	OV:65
Jake Debrusk	AGE:24	PO:66	OV:65
Daniel Sprong	AGE:24	PO:72	OV:64
Brett Ritchie	AGE:28	PO:63	OV:61
Zac Dalpe	AGE:31	PO:66	OV:60
Reese Johnson	AGE:22	PO:60	OV:60
Nikita Scherbak	AGE:25	PO:61	OV:57
Evan Weinger	AGE:24	PO:56	OV:54

Defense #1

Defense #2

Goalie

Kris Letang	AGE:34	PO:70	OV:77
Brett Pesce	AGE:26	PO:66	OV:73
Josh Morrissey	AGE:26	PO:65	OV:72
Josh Manson	AGE:29	PO:64	OV:71
John Moore	AGE:30	PO:61	OV:64
Nils Lundkvist (R)	AGE:20	PO:61	OV:63
Bowen Byram (R)	AGE:20	PO:70	OV:62
Mark Pysyk	AGE:29	PO:58	OV:62
Dakota Mermis	AGE:27	PO:60	OV:61

Calen Addison (R)	AGE:21	PO:60	OV:59
Tarmo Reunanen (R)	AGE:23	PO:60	OV:58
Logan Day	AGE:26	PO:55	OV:58
Chris Bigras	AGE:26	PO:54	OV:58
Connor Mackey (R)	AGE:24	PO:55	OV:57
Nate Prosser	AGE:35	PO:61	OV:56
Hubert Labrie	AGE:29	PO:50	OV:55
Thomas Hickey	AGE:32	PO:55	OV:54
Jordan Gross	AGE:26	PO:49	OV:53

Jonathan Bernier	AGE:32	PO:74	OV:72
Mackenzie Blackwood	AGE:24	PO:72	OV:71
Anton Forsberg	AGE:28	PO:64	OV:62
Mat Robson (R)	AGE:25	PO:53	OV:55
Felix Sandstrom (R)	AGE:24	PO:53	OV:54
Tommy Nappier (R)	AGE:23	PO:46	OV:49

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	Lien
ARTUR GAVRUS	Jets	2012	181
Axel Jonsson-Fjallby	Jets			Link
Brandon Whitney	Jets	2012	90
Calle Sjalin	Jets	2017	110
Cooper Moore	Jets	2019	152
David Bernhardt	Jets	2016	175
Dmitri Ovchinnikov	Jets	2020	73
Elliot Ekefjard	Jets	2020	193
Eric Ciccolini	Jets	2019	182
Ethan Bowen	Jets	2020	207
Filip Helt	Jets	2016	87
Ian Moore	Jets	2020	100
Isaiah Saville	Jets	2019	91
Isak Walther	Jets	2019	122
JACK SADEK	Jets	2015	164
Jack Perbix	Jets	2018	87
Jakob Stenqvist	Jets	2016	151
Jakov Novak	Jets	2018	177
Jakub Brabenec	Jets	2021	82
Jocktan Chainey	Jets	2017	170
Joe Faust	Jets
Jonathan Ericsson	Jets			Link
Josh Ess	Jets	2017	200
KARCH BACHMAN	Jets	2015	160
Lucas Forsell	Jets	2021	136
Lucas Mercuri	Jets	2020	162
Luke Gazdic	Jets			Link
Marek Langhamer	Jets
Martin Has	Jets	2019	123
Matt Ustaski	Jets	2014	197
Mauro Jorg	Jets	2010	204
McKade Webster	Jets	2019	173
Mike Sgarbossa	Jets			Link
Nikita Nesterenko	Jets	2019	179
Nikolaj Krag Christensen	Jets	2016	177
Noah Rod	Jets	2014	60
Otto Kivenmaki	Jets	2018	147
Rhett Pitlick	Jets	2019	98
Riley Hughes	Jets	2018	207
Robert Orr	Jets	2021	104
Ryan McCleary	Jets	2021	168
Theodor Niederbach	Jets	2020	52
Tobias Geisser	Jets			Link
Tristen Robins	Jets	2020	38
Troy Brouwer	Jets			Link
Tuukka Tieksola	Jets	2019	83
Tyler Weiss	Jets	2018	117
VEETI VAINIO	Jets	2015	92

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7	R8
2022
2023
2024
2025
2026

News Database File Not Found. Please create one from the STHS.

[2022-04-29 15:21:22] - Milwaukee Admirals didn't make playoff for year 2021.
[2022-04-29 15:21:22] - Jets didn't make playoff for year 2021.
[2022-03-04 13:17:31] - New Record for Team's Most Goals (9) in 1 Game for Jets!
[2022-01-03 15:16:23] - TRADE : From Bruins to Jets : Jake Debrusk (64), Peyton Krebs (59).
[2022-01-03 15:16:23] - TRADE : From Jets to Bruins : Alexis Lafreniere (64).
[2022-01-03 15:15:19] - TRADE : From Avalanche to Jets : Daniel Sprong (64), Martin Has (P).
[2022-01-03 15:15:19] - TRADE : From Jets to Avalanche : Colton Sissons (68).
[2021-12-06 16:41:28] - Nils Lundkvist was added to Jets.
[2021-09-27 11:25:37] - Zac Dalpe signed with Jets for 1 400 000 $ for 1 year(s) / Option : No Trade.
[2021-09-27 11:25:37] - Zac Dalpe was added to Jets.
[2021-09-27 11:25:25] - Artem Anisimov signed with Jets for 5 700 000 $ for 2 year(s) / Option : No Trade.
[2021-09-27 11:25:25] - Artem Anisimov was added to Jets.

[2022-05-03 10:38:34] Chris Bigras from Milwaukee Admirals is back from Right Ankle Injury.
[2022-04-29 15:20:09] Jets has a 18,93% chance of winning the Draft Lottery!
[2022-04-29 15:20:09] Jets has a 14,20% chance of winning the Draft Lottery!

No Injury or Suspension.

Jets 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	Nathan MacKinnon	392	119	298	417	-54	104	604	591	1413	8.42%	193	8257	21.06	32	73	105	125	0	0	0	33	18	18	50.50%	1	1.01	13	23
2	Victor Olofsson	405	188	179	367	8	32	435	399	1593	11.80%	168	7602	18.77	52	41	93	189	0	0	0	10	42	22	29.87%	5	0.97	1	21
3	James van Riemsdyk	370	121	138	259	-11	48	525	402	1132	10.69%	215	7508	20.29	27	36	63	113	4	0	4	25	18	3	33.29%	0	0.69	12	21
4	Kyle Turris	410	113	117	230	22	84	369	561	934	12.10%	150	6525	15.92	16	17	33	52	1	4	5	9	21	9	52.66%	4	0.70	5	24
5	Filip Chytil	398	76	86	162	14	8	277	413	836	9.09%	127	6159	15.48	3	4	7	22	0	0	0	0	10	10	42.76%	0	0.53	0	0

Jets 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	Mackenzie Blackwood	296	132	139	13	0.911	3.03	16944	8	0	855	9604	4850	23	8	0.855	62
2	Jonathan Bernier	145	53	60	13	0.913	3.05	7836	0	0	398	4599	2327	6	2	0.642	53

Jets 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
2016	82	36	28	0	5	3	4	6	278	257	21	41	22	12	0	1	0	3	3	148	119	29	41	14	16	0	4	3	1	3	130	138	-8	72	278	436	714	4	1	63	106	100	11	2790	861	953	953	52	2726	972	716	1815	203	42	20.69%	241	42	82.57%	4	986	2004	49.20%	990	1949	50.80%	632	1224	51.63%	1748	999	1763	766	1470	720
2017	82	34	28	0	2	6	4	8	262	244	18	41	18	12	0	1	2	4	4	139	122	17	41	16	16	0	1	4	0	4	123	122	1	68	262	417	679	3	0	50	102	104	8	2784	803	981	958	79	2820	971	490	1676	185	49	26.49%	245	51	79.18%	3	973	1913	50.86%	984	1957	50.28%	622	1208	51.49%	1707	969	1813	756	1480	727
2018	82	27	42	0	1	6	1	5	224	279	-55	41	15	19	0	0	3	1	3	111	127	-16	41	12	23	0	1	3	0	2	113	152	-39	54	224	358	582	3	0	42	90	90	5	2681	767	961	943	31	2875	926	714	1682	195	30	15.38%	249	56	77.51%	2	866	1847	46.89%	916	1865	49.12%	590	1226	48.12%	1707	980	1814	750	1437	706
2019	82	25	38	0	2	7	6	4	234	264	-30	41	10	19	0	2	3	5	2	113	129	-16	41	15	19	0	0	4	1	2	121	135	-14	77	234	377	611	5	0	58	84	84	15	2633	786	902	917	76	2773	896	558	1788	206	44	21.36%	230	44	80.87%	4	887	1798	49.33%	845	1833	46.10%	566	1191	47.52%	1673	923	1825	770	1492	736
2020	82	30	39	0	4	3	3	3	229	248	-19	41	19	19	0	1	1	1	0	127	121	6	41	11	20	0	3	2	2	3	102	127	-25	80	229	362	591	2	0	49	88	85	12	2699	831	941	911	39	2816	947	520	1642	198	33	16.67%	211	51	75.83%	3	869	1805	48.14%	978	1922	50.88%	563	1176	47.87%	1718	984	1787	745	1456	724
2020	82	30	39	0	4	3	3	3	229	248	-19	41	19	19	0	1	1	1	0	127	121	6	41	11	20	0	3	2	2	3	102	127	-25	80	229	362	591	2	0	49	88	85	12	2699	831	941	911	39	2816	947	520	1642	198	33	16.67%	211	51	75.83%	3	869	1805	48.14%	978	1922	50.88%	563	1176	47.87%	1718	984	1787	745	1456	724
2021	82	24	43	0	6	2	7	0	250	283	-33	41	17	17	0	3	1	3	0	126	122	4	41	7	26	0	3	1	4	0	124	161	-37	76	250	396	646	2	0	52	104	81	18	2691	853	920	897	48	2949	1060	524	1739	180	41	22.78%	219	55	74.89%	2	822	1723	47.71%	926	1933	47.90%	598	1224	48.86%	1702	967	1807	739	1456	722
Total Regular Season	574	206	257	0	24	30	28	29	1706	1823	-117	287	120	117	0	9	11	18	12	891	861	30	287	86	140	0	15	19	10	17	815	962	-147	507	1706	2708	4414	21	1	363	662	629	81	18977	5732	6599	6490	364	19775	6719	4042	11984	1365	272	19.93%	1606	350	78.21%	21	6272	12895	48.64%	6617	13381	49.45%	4134	8425	49.07%	11976	6808	12597	5274	10249	5063

Jets 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	PSG	PSS

Jets 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	PS %	PSA

	Jets
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Sebastien Doyon \| Morale : 99 \| Team Overall : 68