Canadian Hockey League

Cyclones
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Jean-Olivier Guillemette
	Coach	Bruce Cassidy
	Division	Central
	Conference	Western
	Captain	Ryan O'Reilly
	Assistant #1	Tomas Hertl
	Assistant #2	Tom Wilson
Uniforms

Arena Info
	Name	Diet Pepsi Arena
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	20
	Farm Team	27
	Contract Limit	47 / 55
	Prospects	6
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	14
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	116,845,330$
	Projected Bank Account	116,845,330$
Team History
	This Season	0-0-0 (0PTS)
	History	1033-543-138 (0.603%)
	Playoff Appearances	20
	Playoff Record (W-L)	103-117
	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	Ryan O'Reilly (C)	X				100.00	45	51	85	90	67	89	98	82	90	90	75	95	78	94	92	15	20	80	0	34	1	7,500,000$
2	Tage Thompson	X				100.00	65	62	81	88	83	87	98	86	81	82	90	68	75	82	85	45	20	79	0	28	1	8,125,000$
3	Tom Wilson (A)			X		100.00	98	73	58	86	82	87	92	80	40	76	84	81	40	88	88	30	20	78	0	31	0	0$
4	Drake Batherson			X		100.00	76	56	82	89	72	84	97	82	40	79	84	65	77	80	82	50	20	76	0	27	2	6,000,000$
5	Carter Verhaeghe	X				100.00	61	46	82	87	57	84	96	74	69	72	77	67	40	86	85	35	20	72	0	30	2	6,660,000$
6	Chris Kreider		X			100.00	62	59	81	82	83	83	94	72	40	71	74	67	60	94	89	15	20	72	0	34	4	5,750,000$
7	Kiefer Sherwood		X			100.00	99	47	76	84	58	84	92	66	40	55	76	76	40	86	85	35	20	71	0	30	4	5,757,000$
8	Jordan Martinook		X			100.00	74	54	81	79	67	79	96	60	40	58	63	84	90	92	86	20	20	69	0	33	1	3,901,000$
9	Ridly Greig	X				100.00	69	52	68	84	53	82	96	64	86	63	64	81	40	72	77	70	20	69	0	23	0	0$
10	Barrett Hayton	X				100.00	52	49	74	80	63	80	89	60	88	58	62	68	40	76	78	60	20	65	0	25	0	0$
11	Garnet Hathaway			X		100.00	99	68	72	75	71	72	88	47	40	42	51	74	40	94	83	15	20	63	0	34	2	2,500,000$
12	Esa Lindell				X	100.00	49	56	85	79	76	89	99	63	40	66	59	94	40	88	89	30	20	75	0	31	1	4,000,000$
13	Artem Zub				X	100.00	59	54	76	79	68	84	98	61	40	65	58	82	40	86	85	35	20	72	0	30	0	0$
14	Jamie Oleksiak				X	100.00	74	72	81	75	99	78	96	54	40	51	58	78	40	92	85	20	20	72	0	33	1	3,901,000$
15	Damon Severson				X	100.00	53	54	77	82	67	85	92	66	40	68	64	79	71	88	87	30	20	72	0	31	4	5,757,000$
16	Neal Pionk				X	100.00	91	50	75	79	56	87	78	56	40	54	57	82	40	86	87	35	20	72	0	30	1	5,500,000$
17	Jared Spurgeon				X	100.00	64	38	86	83	40	82	97	58	40	57	59	80	40	98	90	5	20	71	0	36	0	0$
18	Luke Schenn				X	100.00	99	77	73	75	78	72	77	51	40	50	52	68	40	98	85	5	20	69	0	36	0	0$
Scratches
Farm Team
1	Drew O'Connor		X			100.00	62	57	79	77	74	79	99	60	84	52	67	77	40	80	80	50	20	67	0	27	0	0$
2	Alex Steeves	X				100.00	99	58	74	81	61	74	72	60	40	53	67	77	40	78	76	55	20	66	0	26	0	0$
3	Sean Kuraly	X				100.00	65	55	80	77	69	77	99	56	86	56	56	76	40	90	84	25	20	66	0	32	0	0$
4	Jack Drury	X				100.00	53	46	82	82	52	79	99	59	93	57	60	81	40	76	78	60	20	66	0	25	1	1,750,000$
5	Mackie Samoskevich			X		100.00	81	42	82	84	49	79	96	62	40	61	63	70	40	72	76	70	20	66	0	23	1	925,000$
6	Cole Koepke		X			100.00	99	51	85	77	67	72	88	56	40	51	60	77	40	80	76	50	20	65	0	27	0	0$
7	Alexey Toropchenko			X		100.00	88	67	81	75	86	74	87	52	40	49	55	76	40	78	76	55	20	64	0	26	0	0$
8	Walker Duehr			X		100.00	88	53	84	75	70	71	61	47	40	42	52	70	40	82	77	45	20	59	0	28	1	1,000,000$
9	Shane Bowers			X		100.00	60	58	64	75	58	60	50	33	40	33	33	54	40	78	69	55	20	49	0	26	0	0$
10	Brayden Pachal				X	100.00	93	56	66	75	66	73	70	53	40	53	53	73	40	78	76	55	20	67	0	26	0	0$
11	Marc Del Gaizo				X	100.00	76	49	78	75	54	67	62	46	40	43	48	70	40	78	73	55	20	62	0	26	1	975,000$
12	Louie Belpedio				X	100.00	71	47	70	75	59	72	67	48	40	50	46	57	40	84	78	40	20	61	0	29	0	0$
13	Alex Alexeyev				X	100.00	69	56	79	75	76	55	50	40	40	39	40	67	40	78	67	55	20	59	0	26	1	925,000$
14	Jacob Moverare				X	100.00	45	53	90	75	70	64	53	45	40	40	50	66	40	80	72	50	20	59	0	27	0	0$
15	Zack Hayes				X	100.00	86	50	79	75	83	55	50	28	40	22	33	50	40	78	67	55	20	55	0	26	0	0$
16	Alex Limoges		X			100.00	74	70	87	79	64	60	50	59	40	62	56	57	40	82	71	45	20	60	0	28	1	1,000,000$
17	Mike Hardman		X			100.00	99	61	86	75	68	67	57	40	40	36	44	50	40	78	73	55	20	54	0	26	0	0$
18	Chase Wheatcroft		X			100.00	49	44	82	75	58	60	50	42	40	41	42	52	40	72	66	70	20	51	0	23	1	1,000,000$
19	Bryce Kindopp			X		100.00	70	78	84	75	59	60	50	32	40	26	38	51	40	78	69	55	20	49	0	26	0	0$
20	Jon-Randall Avon		X			100.00	47	46	86	75	48	60	50	37	40	34	40	50	90	70	65	75	20	49	0	22	1	1,000,000$
21	Josh Davies (R)		X			100.00	59	57	50	75	57	60	50	28	40	20	35	54	40	68	64	80	20	46	0	21	0	0$
22	Anttoni Honka				X	100.00	44	41	84	77	47	55	50	47	40	53	41	51	40	76	66	60	20	54	0	25	0	0$

	TEAM AVERAGE					100.00	72	55	78	79	66	74	78	55	49	53	57	70	47	82	78	44	20	65

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Eric Comrie	100.00	84	60	60	86	74	80	80	78	81	81	95	86	83	35	20	77	0	30	1	1,200,000$
2	Adin Hill	100.00	91	63	62	98	66	69	73	70	64	66	85	84	77	40	20	72	0	29	2	5,000,000$
Scratches
Farm Team
1	Petr Mrazek	100.00	88	50	60	88	63	59	56	58	56	62	40	92	76	20	20	65	0	33	0	0$
2	Spencer Martin	100.00	79	50	60	89	50	50	50	50	50	50	99	86	68	35	20	58	0	30	1	1,000,000$
3	Devin Cooley	100.00	85	68	68	93	88	87	89	87	88	89	75	82	85	45	20	83	0	28	1	1,200,000$
4	Keith Kinkaid	100.00	75	50	60	88	50	50	50	50	50	50	40	98	74	5	20	59	0	36	0	0$
5	Erik Kallgren	100.00	77	50	60	91	50	50	50	50	50	50	40	84	67	40	20	58	0	29	0	0$

	TEAM AVERAGE	100.00	83	56	61	90	63	64	64	63	63	64	68	87	76	31	20	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bruce Cassidy	86	88	86	98	96	72	48	CAN	61	2	6,000,000$

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	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	2040	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2041	2042	2043	2044	Link
Adin Hill	Predators	G	29	1996-05-11	No	190 Lbs	6 ft4	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	UFA			Link / NHL Link
Artem Zub	Predators	D	30	1995-10-03	No	201 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Link / NHL Link
Barrett Hayton	Predators	C	25	2000-06-09	No	200 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Carter Verhaeghe	Predators	C	30	1995-08-14	No	183 Lbs	6 ft2	No	No	Yes	2	Pro Only	6,660,000$	6,660,000$	6,660,000$	No	6,660,000$	UFA			Link / NHL Link
Chris Kreider	Predators	LW	34	1991-04-30	No	232 Lbs	6 ft3	No	No	Yes	4	Pro Only	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$	5,750,000$	5,750,000$	UFA	Link / NHL Link
Damon Severson	Predators	D	31	1994-08-07	No	204 Lbs	6 ft2	Yes	No	Yes	4	Pro Only	5,757,000$	5,757,000$	5,757,000$	No	5,757,000$	5,757,000$	5,757,000$	UFA	Link / NHL Link
Drake Batherson	Predators	RW	27	1998-04-27	No	209 Lbs	6 ft3	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	UFA			Link / NHL Link
Eric Comrie	Predators	G	30	1995-07-06	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	No	UFA				Link / NHL Link
Esa Lindell	Predators	D	31	1994-05-23	No	217 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	UFA				Link / NHL Link
Garnet Hathaway	Predators	RW	34	1991-11-23	No	212 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	UFA			Link / NHL Link
Jamie Oleksiak	Predators	D	33	1992-12-21	No	252 Lbs	6 ft7	No	No	Yes	1	Pro & Farm	3,901,000$	3,901,000$	3,901,000$	No	UFA				Link / NHL Link
Jared Spurgeon	Predators	D	36	1989-11-29	No	166 Lbs	5 ft9	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Link / NHL Link
Jordan Martinook	Predators	LW	33	1992-07-25	No	208 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,901,000$	3,901,000$	3,901,000$	No	UFA				Link / NHL Link
Kiefer Sherwood	Predators	LW	30	1995-03-31	No	194 Lbs	6 ft0	Yes	No	Yes	4	Pro Only	5,757,000$	5,757,000$	5,757,000$	No	5,757,000$	5,757,000$	5,757,000$	UFA	Link / NHL Link
Luke Schenn	Predators	D	36	1989-11-02	No	225 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Link / NHL Link
Neal Pionk	Predators	D	30	1995-07-29	No	190 Lbs	6 ft0	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	5,500,000$	No	UFA				Link / NHL Link
Ridly Greig	Predators	C	23	2002-08-08	No	184 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Link / NHL Link
Ryan O'Reilly	Predators	C	34	1991-02-07	No	207 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	UFA				Link / NHL Link
Tage Thompson	Predators	C	28	1997-10-30	No	220 Lbs	6 ft6	No	No	Yes	1	Pro Only	8,125,000$	8,125,000$	8,125,000$	No	UFA				Link / NHL Link
Tom Wilson	Predators	RW	31	1994-03-29	No	225 Lbs	6 ft4	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	30.75	205 Lbs	6 ft2	1.35	3,577,550$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
71,551,000$	37,424,000$	17,264,000$	17,264,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tage Thompson	Tomas Hertl	Drake Batherson	35	0	2	3
2	Kiefer Sherwood	Ryan O'Reilly	Tom Wilson	31	0	2	3
3	Chris Kreider	Barrett Hayton	Ridly Greig	29	0	2	3
4	Jordan Martinook	Tomas Hertl	Garnet Hathaway	5	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Jared Spurgeon	36	1	3	1
2	Esa Lindell	Jamie Oleksiak	32	1	3	1
3	Artem Zub	Damon Severson	27	1	3	1
4	Luke Schenn	Neal Pionk	5	1	3	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tage Thompson	Tomas Hertl	Tom Wilson	52	1	0	4
2	Chris Kreider	Barrett Hayton	Drake Batherson	48	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Damon Severson	52	1	1	3
2	Jared Spurgeon	Esa Lindell	48	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan O'Reilly	Tom Wilson	52	1	4	0
2	Ridly Greig	Garnet Hathaway	48	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Artem Zub	Esa Lindell	52	1	4	0
2	Jamie Oleksiak	Jared Spurgeon	48	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan O'Reilly	51	1	4	0	Artem Zub	Esa Lindell	51	1	4	0
2	Ridly Greig	49	1	4	0	Neal Pionk	Jamie Oleksiak	49	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tomas Hertl	Tage Thompson	52	1	2	2
2	Ryan O'Reilly	Tom Wilson	48	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Esa Lindell	52	1	2	2
2	Jared Spurgeon	Jamie Oleksiak	48	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tage Thompson	Tomas Hertl	Tom Wilson	Neal Pionk	Damon Severson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jordan Martinook	Ryan O'Reilly	Garnet Hathaway	Jamie Oleksiak	Esa Lindell

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tage Thompson, Kiefer Sherwood, Jordan Martinook	Ryan O'Reilly, Kiefer Sherwood	Jordan Martinook

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Damon Severson, Artem Zub, Luke Schenn	Artem Zub	Luke Schenn, Neal Pionk

Penalty Shots
Tage Thompson, Ryan O'Reilly, Drake Batherson, Tomas Hertl, Tom Wilson

Goalie
#1 : Adin Hill, #2 : Eric Comrie

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
	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

Depth Chart

Left Wing

Center

Right Wing

Chris Kreider

AGE:34
SK:		82
EN:		83
DU:		94
PH:		72
PA:		71
SC:		74
DF:		67
Kiefer Sherwood

AGE:30
SK:		84
EN:		84
DU:		92
PH:		66
PA:		55
SC:		76
DF:		76
Jordan Martinook

AGE:33
SK:		79
EN:		79
DU:		96
PH:		60
PA:		58
SC:		63
DF:		84
Drew O'Connor

AGE:27
SK:		77
EN:		79
DU:		99
PH:		60
PA:		52
SC:		67
DF:		77
Cole Koepke

AGE:27
SK:		77
EN:		72
DU:		88
PH:		56
PA:		51
SC:		60
DF:		77
Alex Limoges

AGE:28
SK:		79
EN:		60
DU:		50
PH:		59
PA:		62
SC:		56
DF:		57
Mike Hardman

AGE:26
SK:		75
EN:		67
DU:		57
PH:		40
PA:		36
SC:		44
DF:		50
Chase Wheatcroft

AGE:23
SK:		75
EN:		60
DU:		50
PH:		42
PA:		41
SC:		42
DF:		52
Jon-Randall Avon

AGE:22
SK:		75
EN:		60
DU:		50
PH:		37
PA:		34
SC:		40
DF:		50
Josh Davies (R)

AGE:21
SK:		75
EN:		60
DU:		50
PH:		28
PA:		20
SC:		35
DF:		54

Ryan O'Reilly

AGE:34
SK:		90
EN:		89
DU:		98
PH:		82
PA:		90
SC:		75
DF:		95
Tage Thompson

AGE:28
SK:		88
EN:		87
DU:		98
PH:		86
PA:		82
SC:		90
DF:		68
Carter Verhaeghe

AGE:30
SK:		87
EN:		84
DU:		96
PH:		74
PA:		72
SC:		77
DF:		67
Ridly Greig

AGE:23
SK:		84
EN:		82
DU:		96
PH:		64
PA:		63
SC:		64
DF:		81
Jack Drury

AGE:25
SK:		82
EN:		79
DU:		99
PH:		59
PA:		57
SC:		60
DF:		81
Alex Steeves

AGE:26
SK:		81
EN:		74
DU:		72
PH:		60
PA:		53
SC:		67
DF:		77
Sean Kuraly

AGE:32
SK:		77
EN:		77
DU:		99
PH:		56
PA:		56
SC:		56
DF:		76
Barrett Hayton

AGE:25
SK:		80
EN:		80
DU:		89
PH:		60
PA:		58
SC:		62
DF:		68

Tom Wilson

AGE:31
SK:		86
EN:		87
DU:		92
PH:		80
PA:		76
SC:		84
DF:		81
Drake Batherson

AGE:27
SK:		89
EN:		84
DU:		97
PH:		82
PA:		79
SC:		84
DF:		65
Mackie Samoskevich

AGE:23
SK:		84
EN:		79
DU:		96
PH:		62
PA:		61
SC:		63
DF:		70
Alexey Toropchenko

AGE:26
SK:		75
EN:		74
DU:		87
PH:		52
PA:		49
SC:		55
DF:		76
Garnet Hathaway

AGE:34
SK:		75
EN:		72
DU:		88
PH:		47
PA:		42
SC:		51
DF:		74
Walker Duehr

AGE:28
SK:		75
EN:		71
DU:		61
PH:		47
PA:		42
SC:		52
DF:		70
Bryce Kindopp

AGE:26
SK:		75
EN:		60
DU:		50
PH:		32
PA:		26
SC:		38
DF:		51
Shane Bowers

AGE:26
SK:		75
EN:		60
DU:		50
PH:		33
PA:		33
SC:		33
DF:		54

Defense #1

Defense #2

Goalie

Esa Lindell

AGE:31
SK:		79
EN:		89
DU:		99
PH:		63
PA:		66
SC:		59
DF:		94
Artem Zub

AGE:30
SK:		79
EN:		84
DU:		98
PH:		61
PA:		65
SC:		58
DF:		82
Neal Pionk

AGE:30
SK:		79
EN:		87
DU:		78
PH:		56
PA:		54
SC:		57
DF:		82
Damon Severson

AGE:31
SK:		82
EN:		85
DU:		92
PH:		66
PA:		68
SC:		64
DF:		79
Jamie Oleksiak

AGE:33
SK:		75
EN:		78
DU:		96
PH:		54
PA:		51
SC:		58
DF:		78
Jared Spurgeon

AGE:36
SK:		83
EN:		82
DU:		97
PH:		58
PA:		57
SC:		59
DF:		80
Luke Schenn

AGE:36
SK:		75
EN:		72
DU:		77
PH:		51
PA:		50
SC:		52
DF:		68

Brayden Pachal

AGE:26
SK:		75
EN:		73
DU:		70
PH:		53
PA:		53
SC:		53
DF:		73
Marc Del Gaizo

AGE:26
SK:		75
EN:		67
DU:		62
PH:		46
PA:		43
SC:		48
DF:		70
Louie Belpedio

AGE:29
SK:		75
EN:		72
DU:		67
PH:		48
PA:		50
SC:		46
DF:		57
Alex Alexeyev

AGE:26
SK:		75
EN:		55
DU:		50
PH:		40
PA:		39
SC:		40
DF:		67
Jacob Moverare

AGE:27
SK:		75
EN:		64
DU:		53
PH:		45
PA:		40
SC:		50
DF:		66
Zack Hayes

AGE:26
SK:		75
EN:		55
DU:		50
PH:		28
PA:		22
SC:		33
DF:		50
Anttoni Honka

AGE:25
SK:		77
EN:		55
DU:		50
PH:		47
PA:		53
SC:		41
DF:		51

Devin Cooley

AGE:28
SK:		85
AG:		88
RB:		87
SC:		89
HS:		87
RT:		88
DF:		89
Eric Comrie

AGE:30
SK:		84
AG:		74
RB:		80
SC:		80
HS:		78
RT:		81
DF:		81
Adin Hill

AGE:29
SK:		91
AG:		66
RB:		69
SC:		73
HS:		70
RT:		64
DF:		66
Petr Mrazek

AGE:33
SK:		88
AG:		63
RB:		59
SC:		56
HS:		58
RT:		56
DF:		62
Keith Kinkaid

AGE:36
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Erik Kallgren

AGE:29
SK:		77
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Spencer Martin

AGE:30
SK:		79
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
Arvid Costmar	Predators	2034	123
Bryce Brodzinski	Predators	2034	84
Dru Krebs	Predators	2035	215
Isak Walther	Predators	2035	179
Miroslav Satan	Predators	2038	139
Sean Barnhill	Predators	2039	89

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

Predators 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	David Krejci	897	275	584	859	86	85	307	2302	2578	10.67%	120	16860	18.80	84	247	331	658	1	4	5	12	41	12	54.06%	5	1.02	8	42
2	Martin St-Louis	736	355	474	829	98	187	549	1615	2931	12.11%	200	16016	21.76	106	157	263	642	2	2	4	24	53	21	46.41%	6	1.04	14	81
3	Alexander Edler	1021	167	546	713	267	1498	2547	1063	1829	9.13%	1274	23270	22.79	103	168	271	1087	0	13	13	21	15	7	0.00%	0	0.61	1	1
4	Andy McDonald	1527	264	424	688	33	1188	2008	1900	2822	9.36%	919	25972	17.01	46	72	118	296	7	12	19	86	42	19	52.71%	6	0.53	10	29
5	Alex Goligoski	889	152	522	674	104	701	1053	1020	1438	10.57%	845	18853	21.21	100	186	286	965	0	4	4	6	33	12	0.00%	1	0.71	1	3

Predators 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	Ben Bishop	458	256	145	44	0.902	2.84	26527	36	25	1254	12834	0	16	5	0.650	180
2	Kari Lehtonen	331	195	101	32	0.905	2.62	19778	31	16	864	9134	1035	18	6	0.735	147
3	Adin Hill	226	126	65	15	0.895	3.01	12633	29	10	633	6025	0	7	3	0.741	58
4	Jonathan Quick	120	73	36	8	0.906	2.64	6968	29	13	307	3283	0	6	3	0.625	32
5	Antti Raanta	95	58	25	4	0.894	3.18	5108	16	2	271	2545	0	6	1	0.875	8

Predators 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	36	34	0	1	0	6	5	257	247	10	41	17	17	0	1	0	4	2	111	112	-1	41	19	17	0	0	0	2	3	146	135	11	74	257	416	673	0	4	0	80	88	82	2663	0	873	948	833	2471	803	1154	1894	310	45	14.52%	276	46	83.33%	9	1116	2048	54.49%	1067	2002	53.30%	720	1405	51.25%	1831	1059	1830	821	1481	750
2018	82	36	31	0	1	1	7	6	224	215	9	41	17	14	0	0	1	4	5	119	117	2	41	19	17	0	1	0	3	1	105	98	7	75	224	353	577	0	4	0	65	83	68	2458	0	744	863	837	2452	830	900	1912	234	34	14.53%	210	29	86.19%	3	977	1893	51.61%	1027	1992	51.56%	668	1291	51.74%	1798	1026	1660	741	1528	779
2019	82	39	30	0	2	5	5	1	253	210	43	41	14	20	0	0	1	5	1	121	120	1	41	25	10	0	2	4	0	0	132	90	42	87	253	399	652	3	2	0	59	85	102	2613	0	780	939	874	2488	826	990	1911	223	37	16.59%	232	40	82.76%	7	1067	2058	51.85%	1028	2009	51.17%	647	1211	53.43%	1842	1085	1659	727	1464	739
2020	82	35	33	0	2	1	4	7	247	247	0	41	20	12	0	2	1	2	4	136	116	20	41	15	21	0	0	0	2	3	111	131	-20	75	247	401	648	6	1	0	69	79	93	2652	0	844	859	932	2554	863	1013	1931	255	42	16.47%	231	46	80.09%	1	1033	2112	48.91%	1083	2126	50.94%	638	1239	51.49%	1849	1103	1699	732	1426	718
2021	82	43	26	0	2	3	4	4	239	210	29	41	20	14	0	1	1	3	2	109	105	4	41	23	12	0	1	2	1	2	130	105	25	93	239	428	667	0	4	0	91	64	78	2405	0	756	821	810	2219	647	929	1750	462	69	14.94%	367	71	80.65%	3	1602	3034	52.80%	1432	2870	49.90%	630	1252	50.32%	2133	1512	1823	606	1020	521
2022	82	43	17	0	1	7	6	8	288	215	73	41	27	6	0	0	4	2	2	159	103	56	41	16	11	0	1	3	4	6	129	112	17	95	288	490	778	0	8	0	116	82	83	2679	0	897	859	894	2241	650	992	1704	453	88	19.43%	393	63	83.97%	3	1663	3127	53.18%	1463	2795	52.34%	663	1300	51.00%	2128	1490	1837	608	1035	530
2023	82	47	28	0	1	0	4	2	318	239	79	41	25	15	0	0	0	1	0	160	109	51	41	22	13	0	1	0	3	2	158	130	28	96	318	556	874	0	3	0	122	100	91	2871	0	925	958	975	2181	592	953	1772	492	106	21.54%	373	74	80.16%	8	1700	3274	51.92%	1357	2673	50.77%	712	1380	51.59%	2133	1513	1800	586	1015	524
2024	82	43	25	0	3	4	3	4	306	240	66	41	22	12	0	1	1	1	4	140	112	28	41	21	13	0	2	3	2	0	166	128	38	106	306	539	845	3	7	0	101	110	89	2791	0	874	944	950	2272	693	897	1673	451	87	19.29%	365	73	80.00%	2	1645	3172	51.86%	1435	2786	51.51%	698	1332	52.40%	2119	1492	1827	605	1023	526
2025	82	46	21	0	4	4	4	3	300	206	94	41	24	9	0	2	3	2	1	148	100	48	41	22	12	0	2	1	2	2	152	106	46	115	300	546	846	3	12	0	119	100	73	2557	0	870	828	840	2233	671	878	1697	451	90	19.96%	380	66	82.63%	6	1514	2983	50.75%	1437	2759	52.08%	692	1279	54.10%	2108	1464	1817	612	1047	538
2026	82	50	16	0	3	2	7	4	339	228	111	41	27	7	0	1	1	3	2	176	111	65	41	23	9	0	2	1	4	2	163	117	46	126	339	607	946	0	1	0	132	101	96	2714	0	929	853	900	2340	745	1137	1864	494	118	23.89%	454	72	84.14%	4	1567	3108	50.42%	1489	2979	49.98%	658	1335	49.29%	2048	1416	1900	624	1037	523
2027	82	38	25	0	2	6	6	5	284	245	39	41	18	12	0	2	2	5	2	144	120	24	41	20	13	0	0	4	1	3	140	125	15	103	284	496	780	1	5	0	99	91	86	2582	0	816	913	831	2254	682	1080	1870	425	87	20.47%	433	76	82.45%	2	1655	3089	53.58%	1430	2756	51.89%	748	1371	54.56%	2086	1445	1853	604	1049	535
2030	82	46	24	0	2	2	1	7	272	204	68	41	24	12	0	1	1	0	3	135	95	40	41	22	12	0	1	1	1	4	137	109	28	107	272	493	765	0	4	0	95	89	85	2533	0	798	826	883	2349	658	1042	1791	452	92	20.35%	439	78	82.23%	3	1589	2960	53.68%	1485	2928	50.72%	638	1213	52.60%	2086	1440	1849	612	1035	536
2031	82	48	25	0	1	1	1	6	300	217	83	41	28	9	0	1	0	0	3	165	101	64	41	20	16	0	0	1	1	3	135	116	19	107	300	545	845	3	9	0	121	83	94	2638	0	923	831	867	2483	733	1074	1895	423	94	22.22%	447	75	83.22%	3	1571	3056	51.41%	1543	3065	50.34%	707	1359	52.02%	1996	1365	1907	615	1051	527
2032	82	31	35	0	3	3	4	6	283	273	10	41	16	15	0	1	1	3	5	142	135	7	41	15	20	0	2	2	1	1	141	138	3	85	283	507	790	1	4	0	104	108	64	2791	0	955	901	903	2589	704	1010	1874	390	79	20.26%	417	72	82.73%	2	1582	3107	50.92%	1483	2974	49.87%	672	1320	50.91%	1995	1372	1943	612	1041	518
2033	82	43	29	0	1	2	4	3	289	270	19	41	26	12	0	0	0	1	2	156	131	25	41	17	17	0	1	2	3	1	133	139	-6	101	289	506	795	2	1	0	98	78	108	2898	0	962	909	1015	2537	765	1061	2074	414	88	21.26%	447	89	80.09%	4	1694	3298	51.36%	1524	3020	50.46%	682	1386	49.21%	2021	1404	1915	605	1024	512
2034	82	45	25	0	4	1	2	5	312	249	63	41	23	13	0	0	1	2	2	157	128	29	41	22	12	0	4	0	0	3	155	121	34	108	312	560	872	2	4	0	128	89	89	2955	0	1012	965	947	2331	687	983	1809	422	79	18.72%	431	74	82.83%	8	1850	3256	56.82%	1485	2823	52.60%	695	1321	52.61%	2091	1452	1830	606	1042	536
2035	82	44	26	0	0	1	4	7	310	230	80	41	23	13	0	0	0	3	2	154	114	40	41	21	13	0	0	1	1	5	156	116	40	104	310	553	863	0	8	0	115	101	90	2877	0	961	944	949	2374	708	1012	1896	414	88	21.26%	445	75	83.15%	10	1814	3291	55.12%	1594	2927	54.46%	734	1338	54.86%	2054	1430	1888	615	1035	523
2036	82	57	18	0	2	3	1	1	392	251	141	41	31	6	0	1	2	1	0	210	116	94	41	26	12	0	1	1	0	1	182	135	47	124	392	707	1099	1	0	0	165	124	100	3136	0	1004	1049	1065	2523	762	1152	1919	392	105	26.79%	491	80	83.71%	5	1794	3233	55.49%	1562	2961	52.75%	769	1422	54.08%	1986	1363	1923	607	1035	523
2037	82	46	26	0	4	2	1	3	328	265	63	41	23	15	0	1	2	0	0	162	139	23	41	23	11	0	3	0	1	3	166	126	40	107	328	582	910	0	4	121	111	91	6	2819	953	876	959	43	2436	724	1080	1866	414	92	22.22%	467	81	82.66%	5	1748	3115	56.12%	1616	2982	54.19%	701	1356	51.70%	2017	1392	1904	616	1026	516
2038	82	44	24	0	4	4	3	3	309	242	67	41	22	11	0	1	2	2	3	149	126	23	41	22	13	0	3	2	1	0	160	116	44	109	309	538	847	0	3	108	94	100	12	2951	964	977	982	51	2370	718	998	1763	382	82	21.47%	429	76	82.28%	5	1783	3229	55.22%	1504	2824	53.26%	717	1354	52.95%	2013	1380	1891	613	1051	533
2039	82	51	25	0	2	1	0	3	335	259	76	41	27	11	0	0	1	0	2	182	122	60	41	24	14	0	2	0	0	1	153	137	16	110	335	598	933	3	5	128	114	91	2	3074	1028	1017	1007	33	2312	699	948	1898	423	86	20.33%	389	68	82.52%	4	1843	3342	55.15%	1533	2797	54.81%	736	1395	52.76%	2004	1379	1893	610	1042	525
Total Regular Season	1722	911	543	0	45	53	77	93	6185	4962	1223	861	474	255	0	16	25	44	47	3135	2432	703	861	437	288	0	29	28	33	46	3050	2530	520	2107	6185	10820	17005	28	93	357	2198	1937	1591	57657	2945	18793	19158	16432	50009	15160	21283	38763	8376	1688	20.15%	8116	1424	82.45%	97	32807	61785	53.10%	29577	57048	51.85%	14525	27859	52.14%	42349	28592	38658	13385	23520	11941
Playoff
2017	13	7	6	0	0	0	0	0	40	35	5	6	5	1	0	0	0	0	0	27	15	12	7	2	5	0	0	0	0	0	13	20	-7	14	40	63	103	0	0	0	11	11	17	385	0	111	125	146	475	153	161	278	38	2	5.26%	21	4	80.95%	1	149	295	50.51%	177	353	50.14%	102	206	49.51%	285	162	2097	939	244	127
2018	22	13	9	0	0	0	0	0	69	58	11	11	7	4	0	0	0	0	0	35	30	5	11	6	5	0	0	0	0	0	34	28	6	26	69	119	188	0	0	0	20	27	19	708	0	247	247	199	678	217	288	482	65	17	26.15%	64	15	76.56%	3	268	545	49.17%	286	551	51.91%	199	366	54.37%	483	287	450	196	392	195
2019	6	2	4	0	0	0	0	0	13	17	-4	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	6	8	-2	4	13	22	35	0	0	0	4	6	2	181	0	51	69	49	194	50	67	151	7	1	14.29%	21	1	95.24%	0	80	156	51.28%	92	156	58.97%	54	84	64.29%	137	81	127	55	108	52
2021	12	6	6	0	0	0	0	0	34	44	-10	6	4	2	0	0	0	0	0	15	14	1	6	2	4	0	0	0	0	0	19	30	-11	12	34	61	95	0	0	0	19	7	6	394	0	145	123	119	400	116	161	259	63	8	12.70%	63	18	71.43%	2	275	492	55.89%	234	469	49.89%	84	173	48.55%	317	226	272	87	147	75
2022	4	0	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	6	10	-4	0	9	15	24	0	0	0	1	4	4	112	0	32	36	44	149	47	34	78	22	2	9.09%	17	6	64.71%	1	81	156	51.92%	92	166	55.42%	39	67	58.21%	98	66	91	31	50	25
2023	6	2	4	0	0	0	0	0	17	19	-2	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	8	9	-1	4	17	30	47	0	0	0	6	6	5	196	0	54	51	61	178	51	123	150	40	5	12.50%	30	4	86.67%	0	115	242	47.52%	108	220	49.09%	46	105	43.81%	168	116	162	51	86	43
2024	4	0	4	0	0	0	0	0	12	18	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	8	11	-3	0	12	22	34	0	0	0	1	3	8	146	0	27	47	49	137	51	81	82	39	7	17.95%	19	4	78.95%	0	98	183	53.55%	76	152	50.00%	38	76	50.00%	117	83	110	33	56	28
2025	7	3	4	0	0	0	0	0	23	22	1	3	2	1	0	0	0	0	0	13	8	5	4	1	3	0	0	0	0	0	10	14	-4	6	23	43	66	0	0	0	8	10	5	181	0	56	63	62	206	66	76	145	28	2	7.14%	38	7	81.58%	0	97	220	44.09%	122	245	49.80%	56	111	50.45%	168	113	161	53	90	45
2026	9	5	4	0	0	0	0	0	40	37	3	4	2	2	0	0	0	0	0	13	15	-2	5	3	2	0	0	0	0	0	27	22	5	10	40	69	109	0	0	0	17	12	11	267	0	96	91	80	319	70	124	198	39	10	25.64%	43	11	74.42%	0	159	327	48.62%	160	354	45.20%	74	164	45.12%	208	140	218	67	113	55
2027	6	2	4	0	0	0	0	0	19	21	-2	3	1	2	0	0	0	0	0	9	8	1	3	1	2	0	0	0	0	0	10	13	-3	4	19	36	55	1	1	0	6	7	6	202	0	58	87	51	179	43	87	141	33	8	24.24%	36	5	86.11%	0	121	229	52.84%	104	213	48.83%	44	107	41.12%	148	100	144	45	79	40
2030	27	14	13	0	0	0	0	0	88	78	10	14	6	8	0	0	0	0	0	37	38	-1	13	8	5	0	0	0	0	0	51	40	11	28	88	159	247	1	2	0	25	26	36	841	0	272	267	266	804	238	371	595	154	26	16.88%	150	31	79.33%	1	500	1019	49.07%	546	1022	53.42%	232	447	51.90%	686	472	635	211	351	175
2031	5	1	4	0	0	0	0	0	10	16	-6	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	2	7	-5	2	10	19	29	0	0	0	3	4	3	175	0	65	52	53	155	48	62	117	33	4	12.12%	25	4	84.00%	2	103	219	47.03%	101	191	52.88%	40	78	51.28%	126	85	115	39	64	32
2032	6	2	4	0	0	0	0	0	16	27	-11	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	7	17	-10	4	16	30	46	0	1	0	6	6	4	166	0	57	58	49	218	68	89	125	29	5	17.24%	40	10	75.00%	0	99	213	46.48%	111	247	44.94%	48	108	44.44%	130	85	159	47	74	35
2033	22	12	10	0	0	0	0	0	68	59	9	11	6	5	0	0	0	0	0	38	30	8	11	6	5	0	0	0	0	0	30	29	1	24	68	119	187	1	2	0	28	19	18	617	0	190	198	217	755	226	294	514	89	22	24.72%	128	17	86.72%	0	351	746	47.05%	427	890	47.98%	157	345	45.51%	484	320	590	171	279	133
2034	10	5	5	0	0	0	0	0	40	34	6	6	2	4	0	0	0	0	0	24	22	2	4	3	1	0	0	0	0	0	16	12	4	10	40	72	112	0	0	0	11	14	15	343	0	88	137	118	338	113	112	204	46	13	28.26%	51	12	76.47%	1	197	361	54.57%	226	384	58.85%	92	173	53.18%	242	167	229	75	127	64
2035	17	10	7	0	0	0	0	0	62	63	-1	8	6	2	0	0	0	0	0	32	22	10	9	4	5	0	0	0	0	0	30	41	-11	20	62	113	175	0	0	0	21	23	17	606	0	177	215	189	541	169	191	405	90	9	10.00%	84	11	86.90%	4	358	679	52.72%	341	649	52.54%	152	295	51.53%	426	296	416	133	221	110
2036	7	3	4	0	0	0	0	0	28	26	2	4	2	2	0	0	0	0	0	21	17	4	3	1	2	0	0	0	0	0	7	9	-2	6	28	51	79	0	0	0	10	11	7	281	0	90	92	96	209	61	93	158	26	7	26.92%	37	6	83.78%	0	159	292	54.45%	135	247	54.66%	63	114	55.26%	174	122	168	50	84	42
2037	11	4	7	0	0	0	0	0	33	39	-6	6	2	4	0	0	0	0	0	19	20	-1	5	2	3	0	0	0	0	0	14	19	-5	8	33	58	91	0	0	11	9	12	1	360	129	117	112	2	386	109	221	254	37	4	10.81%	81	18	77.78%	0	238	414	57.49%	223	435	51.26%	92	172	53.49%	261	179	268	83	138	66
2038	13	6	7	0	0	0	0	0	46	49	-3	7	3	4	0	0	0	0	0	22	23	-1	6	3	3	0	0	0	0	0	24	26	-2	12	46	88	134	1	0	14	14	16	2	482	139	178	161	4	419	119	188	275	74	16	21.62%	72	13	81.94%	0	285	532	53.57%	245	457	53.61%	112	213	52.58%	330	231	292	94	164	83
2039	13	6	7	0	0	0	0	0	42	46	-4	7	3	4	0	0	0	0	0	21	28	-7	6	3	3	0	0	0	0	0	21	18	3	12	42	72	114	1	0	16	9	15	2	448	126	105	157	60	404	128	174	326	63	12	19.05%	83	16	80.72%	0	289	533	54.22%	273	497	54.93%	108	215	50.23%	343	233	350	107	179	88
Total Playoff	220	103	117	0	0	0	0	0	709	726	-17	112	55	57	0	0	0	0	0	366	343	23	108	48	60	0	0	0	0	0	343	383	-40	206	709	1261	1970	5	6	41	229	239	188	7091	394	2216	2388	1914	7144	2143	2997	4937	1015	180	17.73%	1103	213	80.69%	15	4022	7853	51.22%	4079	7898	51.65%	1832	3619	50.62%	5342	3575	7064	2574	3056	1524

Predators 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	David Krejci	124	40	67	107	-12	10	22	376	339	11.80%	22	2423	19.55	5	25	30	71	0	0	0	0	2	3	52.13%	0	0.88
2	Andy McDonald	234	40	63	103	37	161	278	348	385	10.39%	153	3934	16.82	2	4	6	15	1	2	3	7	7	2	50.12%	0	0.52
3	Alexander Edler	117	19	69	88	2	203	303	109	195	9.74%	179	2716	23.22	13	21	34	121	1	1	2	3	1	1	0.00%	0	0.65
4	Tomas Hertl	71	37	46	83	10	30	67	217	290	12.76%	13	1497	21.09	5	15	20	72	1	1	2	5	3	3	56.25%	1	1.11
5	Chris Kreider	99	34	47	81	11	88	142	95	323	10.53%	12	1672	16.89	10	13	23	78	0	0	0	2	8	0	39.37%	0	0.97

Predators 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	Ben Bishop	82	42	28	9	0.905	2.98	4881	2	5	242	2540	0	4	2
2	Adin Hill	37	18	17	2	0.885	3.47	2199	4	0	127	1109	0	0	2
3	Johan Hedberg	24	14	8	2	0.915	2.58	1444	0	0	62	732	312	3	0
4	Kari Lehtonen	22	8	13	1	0.886	3.54	1305	4	0	77	674	0	0	0
5	Miikka Kiprusoff	13	7	5	1	0.926	2.64	797	2	0	35	475	192	1	0