Canadian Hockey League

Checkers
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Sabres 8-6-0, 16pts	5	FINAL	2	Panthers 3-4-0, 6pts

Team Stats
OTL1	Streak	L3
5-2-0	Home Record	1-2-0
3-4-0	Away Record	2-2-0
7-2-1	Last 10 Games	3-4-0
2.93	Goals Per Game	3.86
3.43	Goals Against Per Game	3.00
25.93%	Power Play Percentage	30.43%
75.31%	Penalty Kill Percentage	66.67%

Panthers
3-4-0, 6pts

FINAL

Sabres
8-6-0, 16pts

Team Stats
L3	Streak	OTL1
1-2-0	Home Record	5-2-0
2-2-0	Away Record	3-4-0
3-4-0	Last 10 Games	7-2-1
3.86	Goals Per Game	2.93
3.00	Goals Against Per Game	3.43
30.43%	Power Play Percentage	25.93%
66.67%	Penalty Kill Percentage	75.31%

Team Leaders
	Goals Clayton Keller 7	Assists Tyler Seguin 11

	Points Clayton Keller 14	Plus/Minus Clayton Keller 5

	Wins Connor Hellebuyck 3	Save Percentage Connor Hellebuyck 0.899

Team Stats
Goals For 27 3.86 GFG	Shots For 200 28.57 Avg	Power Play Percentage 30.4% 14 GF	Offensive Zone Start 39.2%
Goals Against 21 3.00 GAA	Shots Against 200 28.57 Avg	Penalty Kill Percentage 66.7% 8 GA	Defensive Zone Start 42.0%

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Jean-Francis Grondin
	Coach	Scott Arniel
	Division	Atlantic
	Conference	Eastern
	Captain	Mark Stone
	Assistant #1	Tyler Seguin
	Assistant #2	Alex Pietrangelo
Uniforms

Arena Info
	Name	Synergy Center
	Capacity	25,000
	Attendance	19,233
	Season Tickets	10,000
Roster Info
	Pro Team	22
	Farm Team	25
	Contract Limit	47 / 50
	Prospects	26
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	6,518,050$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	19,241,869$
	Projected Bank Account	19,241,869$
Team History
	This Season	3-4
	History	867-700-144 (0.507%)
	Playoff Appearances	10
	Playoff Record (W-L)	36-49
	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	Mark Stone (C)			X		100.00	51	54	86	91	72	87	88	87	40	99	74	84	64	88	88	30	52	80	0	33	4	1$
2	Clayton Keller		X			100.00	43	40	83	99	45	87	98	91	40	99	80	65	57	76	82	60	54	78	0	27	3	6,500,000$
3	Tyler Seguin (A)	X				100.00	46	51	86	93	66	82	57	88	88	89	87	79	86	88	85	30	31	78	0	33	2	7,500,000$
4	Pierre-Luc Dubois	X				100.00	59	57	71	85	79	84	99	78	85	86	70	75	84	76	80	60	36	75	0	27	3	6,500,000$
5	Kent Johnson			X		100.00	41	43	85	91	51	84	89	79	40	80	79	75	90	68	76	80	40	74	0	23	1	925,000$
6	Chandler Stephenson	X				100.00	50	49	84	87	62	87	96	72	87	80	64	79	69	84	86	40	53	73	0	31	3	6,000,000$
7	Mason Marchment		X			100.00	70	59	73	84	77	80	85	76	40	73	79	70	40	82	81	45	56	73	0	30	1	3,000,000$
8	Dmitri Voronkov		X			100.00	63	63	75	81	85	82	93	71	77	67	76	72	40	72	77	70	46	71	0	25	1	750,000$
9	Carter Verhaeghe			X		100.00	67	46	79	86	57	84	98	72	40	73	70	63	40	82	83	45	36	70	0	30	3	6,660,000$
10	Bobby Brink			X		100.00	69	38	84	87	40	79	97	66	40	70	62	67	69	70	75	75	53	68	0	24	3	3,250,000$
11	Ondrej Palat		X			100.00	78	47	87	81	58	77	96	60	40	54	66	73	53	90	84	25	53	68	0	34	4	2,000,000$
12	Casey Cizikas	X				100.00	98	51	78	79	56	77	99	54	90	50	57	73	73	90	84	25	36	66	0	34	2	1,500,000$
13	Aaron Ekblad				X	100.00	78	61	71	81	79	89	81	70	40	84	57	87	40	80	85	50	25	76	0	29	5	8,000,000$
14	Alex Pietrangelo (A)				X	100.00	54	55	85	80	75	87	92	65	40	73	57	85	40	92	90	20	54	75	0	35	1	8,750,000$
15	Jaccob Slavin				X	100.00	46	53	88	78	71	86	98	60	40	62	59	97	64	84	85	40	53	75	0	31	3	7,000,000$
16	Connor Clifton				X	100.00	99	49	78	79	57	77	93	54	40	57	52	81	40	82	80	45	50	72	0	30	2	3,000,000$
17	Dylan Demelo				X	100.00	79	48	81	78	60	86	99	55	40	56	55	82	40	86	86	35	53	72	0	32	2	4,000,000$
18	Jalen Chatfield				X	100.00	59	54	76	78	63	81	97	56	40	51	61	78	40	80	81	50	54	69	0	29	1	1,550,000$
Scratches
1	Matt Rempe	X				100.00	99	91	58	75	99	69	72	53	40	50	56	65	40	68	69	80	20	63	0	23	1	700,000$
2	Tyler Tucker				X	100.00	90	82	61	77	65	74	69	54	40	49	60	76	40	72	73	70	21	67	0	25	1	842,000$
Farm Team
1	Dryden Hunt	X				100.00	99	54	74	84	59	60	50	66	40	70	57	70	40	82	71	45	22	65	0	30	2	575,000$
2	Justin Brazeau			X		100.00	78	61	85	75	87	74	95	57	40	52	62	65	40	76	75	60	20	64	0	27	1	1,900,000$
3	Beck Malenstyn		X			100.00	99	56	82	75	72	72	95	50	40	46	54	70	40	76	74	60	20	62	0	27	1	900,000$
4	James Hamblin	X				100.00	51	43	81	83	48	60	50	61	70	62	61	70	99	74	67	65	20	62	0	26	1	786,500$
5	Julien Gauthier			X		100.00	95	59	84	75	82	60	50	59	40	52	65	60	40	78	69	55	20	62	0	28	2	1,000,000$
6	Mitchell Chaffee	X				100.00	87	53	84	78	65	75	88	56	40	47	65	58	40	76	76	60	20	62	0	27	1	847,000$
7	Zack MacEwen		X			100.00	95	88	70	75	83	67	57	51	40	44	58	64	40	80	74	50	20	60	0	29	2	800,000$
8	Raphael Lavoie			X		100.00	80	68	71	75	77	60	50	51	40	40	63	53	40	72	66	70	20	57	0	25	1	1,119,250$
9	Brandon Biro			X		100.00	53	50	83	78	44	65	55	50	40	61	39	58	90	76	71	60	20	56	0	27	1	786,500$
10	Chase DeLeo		X			100.00	75	42	89	75	55	60	50	44	40	44	44	57	40	82	71	45	20	54	0	30	1	600,000$
11	Scott Reedy	X				100.00	49	52	84	75	73	60	50	40	40	36	43	66	40	74	67	65	22	53	0	26	1	1,001,000$
12	Reese Johnson	X				100.00	99	67	74	75	59	64	54	35	40	35	36	56	40	76	70	60	21	52	0	27	1	847,000$
13	Sam Malinski				X	100.00	58	45	86	79	54	76	95	54	40	51	58	75	40	76	76	60	32	67	0	27	4	1,250,000$
14	Robert Bortuzzo				X	100.00	69	77	64	75	72	68	55	50	40	50	50	68	40	94	81	15	21	64	0	36	3	1,000,000$
15	Jaycob Megna				X	100.00	72	59	83	75	83	68	63	36	40	38	34	70	40	88	78	30	20	63	0	33	3	950,000$
16	Ty Nelson (R)				X	100.00	61	50	77	89	56	76	71	45	40	50	40	70	40	64	70	90	20	63	0	21	2	750,000$
17	Ville Heinola				X	100.00	50	44	86	75	52	74	55	47	40	45	50	75	40	70	72	75	20	61	0	24	1	1,119,250$
18	John Ludvig				X	100.00	91	83	77	75	70	55	50	42	40	49	34	65	40	72	64	70	22	60	0	25	1	1,119,250$
19	Filip Roos				X	100.00	59	50	78	75	69	72	67	35	40	41	30	60	40	74	73	65	20	58	0	26	1	695,750$
20	Maxim Groshev		X			100.00	54	45	83	75	64	65	55	38	40	30	45	59	99	70	68	75	19	52	0	24	2	925,000$
21	Jacob Perreault			X		100.00	65	56	71	75	59	60	50	38	40	41	36	50	99	68	64	80	20	51	0	23	1	1,119,250$

	TEAM AVERAGE					100.00	70	56	79	80	66	74	76	58	46	58	57	70	53	78	76	54	32	66

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	Connor Hellebuyck	100.00	94	99	99	95	96	97	96	96	95	96	86	86	92	35	70	93	0	32	3	8,000,000$
2	Justus Annunen	100.00	88	71	70	95	75	67	61	69	70	66	40	72	70	70	75	72	0	25	3	2,500,000$
Scratches
Farm Team
1	Jesper Vikman	100.00	81	50	60	94	50	50	50	50	50	50	50	68	59	80	21	58	0	23	1	750,000$
2	Thomas Milic	100.00	90	50	60	82	50	50	50	50	50	50	50	66	58	85	22	57	0	22	2	925,000$
3	Dylan Ferguson	100.00	75	50	60	86	50	50	50	50	50	50	40	76	63	60	20	57	0	27	2	575,000$
4	Ty Young (R)	100.00	75	50	60	87	50	50	50	50	50	50	40	64	57	90	20	56	0	21	2	750,000$

	TEAM AVERAGE	100.00	84	62	68	90	62	61	60	61	61	60	51	72	67	70	38	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Arniel	82	99	97	92	98	84	44	CAN	63	2	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Clayton Keller	Panthers	LW	7	7	7	14	5	2	7	14	23	7	15	30.43%	0	167	23.96	4	4	8	9	38	0	24	0	40.00%	10	1.67	2	1	0
2	Mark Stone	Panthers	RW	7	7	6	13	5	4	6	14	20	5	18	35.00%	0	166	23.74	3	5	8	9	38	0	23	0	36.07%	61	1.56	1	1	1
3	Tyler Seguin	Panthers	C	7	0	11	11	5	2	6	25	16	2	23	0.00%	1	152	21.78	0	7	7	7	38	1	9	0	54.24%	177	1.44	0	1	0
4	Jaccob Slavin	Panthers	D	7	4	3	7	-4	2	0	7	11	4	4	36.36%	10	177	25.42	3	2	5	8	37	0	20	1	0.00%	0	0.79	0	0	0
5	Aaron Ekblad	Panthers	D	7	1	5	6	-4	8	29	9	9	3	2	11.11%	5	175	25.07	1	1	2	7	37	0	17	1	0.00%	0	0.68	0	0	0
6	Alex Pietrangelo	Panthers	D	7	1	4	5	3	0	1	2	10	6	6	10.00%	5	149	21.34	1	0	1	7	32	0	18	1	0.00%	0	0.67	0	0	1
7	Pierre-Luc Dubois	Panthers	C	7	1	4	5	-2	2	8	23	20	7	14	5.00%	0	134	19.15	0	3	3	1	32	1	9	0	47.56%	164	0.75	0	0	0
8	Kent Johnson	Panthers	RW	7	4	1	5	-2	0	2	9	15	9	22	26.67%	1	123	17.58	2	1	3	6	32	0	0	0	36.36%	11	0.81	0	1	0
9	Connor Clifton	Panthers	D	7	0	3	3	3	12	36	2	9	3	4	0.00%	10	143	20.48	0	2	2	4	32	0	11	0	0.00%	0	0.42	0	0	0
10	Carter Verhaeghe	Panthers	RW	7	0	2	2	-3	0	7	8	11	1	6	0.00%	0	76	10.92	0	0	0	0	0	0	4	0	30.77%	13	0.52	0	0	0
11	Dmitri Voronkov	Panthers	LW	7	1	1	2	-3	2	7	2	8	4	5	12.50%	1	72	10.33	0	0	0	0	0	0	0	0	25.00%	4	0.55	0	0	0
12	Bobby Brink	Panthers	RW	7	0	1	1	0	0	0	4	4	4	6	0.00%	0	44	6.41	0	0	0	0	0	0	0	0	100.00%	2	0.45	0	0	0
13	Chandler Stephenson	Panthers	C	7	0	1	1	-3	0	1	14	12	5	10	0.00%	0	73	10.46	0	0	0	0	0	0	1	0	54.22%	83	0.27	0	0	0
14	Mason Marchment	Panthers	LW	7	0	1	1	-2	6	9	3	18	1	14	0.00%	1	124	17.80	0	1	1	6	32	0	1	0	50.00%	10	0.16	0	0	0
15	Dylan Demelo	Panthers	D	7	1	0	1	1	12	20	2	7	2	3	14.29%	7	95	13.61	0	0	0	0	1	0	0	0	0.00%	0	0.21	0	0	0
16	Jalen Chatfield	Panthers	D	7	0	0	0	1	0	5	4	3	1	3	0.00%	4	102	14.65	0	0	0	0	0	0	8	0	0.00%	0	0.00	0	0	0
17	Casey Cizikas	Panthers	C	7	0	0	0	0	0	8	5	1	1	0	0.00%	0	44	6.41	0	0	0	0	0	0	0	0	60.87%	46	0.00	0	0	0
18	Ondrej Palat	Panthers	LW	7	0	0	0	0	0	0	4	3	1	1	0.00%	1	44	6.41	0	0	0	0	0	0	0	0	33.33%	3	0.00	0	0	0
Team Total or Average				126	27	50	77	0	52	152	151	200	66	156	13.50%	46	2068	16.42	14	26	40	64	357	2	150	3	49.66%	584	0.74	3	4	2

Show or Hide Column

Filter Tips

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

#	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
1	Connor Hellebuyck	Panthers	7	3	4	0	0.899	2.86	419	0	2	20	199	0	0	1	0.000	0	7	0	1	0	0
Team Total or Average			7	3	4	0	0.899	2.86	419	0	2	20	199	0	0	1	0.000	0	7	0	1	0	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	2044	Link
Aaron Ekblad	Panthers	D	29	1996-02-07	No	220 Lbs	6 ft4	No	No	Yes	5	Pro Only	8,000,000$	8,000,000$	2,095,238$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	UFA	Link / NHL Link
Alex Pietrangelo	Panthers	D	35	1990-01-18	No	215 Lbs	6 ft3	No	No	Yes	1	Pro Only	8,750,000$	8,750,000$	2,291,667$	No	UFA					Link / NHL Link
Bobby Brink	Panthers	RW	24	2001-07-08	No	169 Lbs	5 ft8	No	No	Yes	3	Pro & Farm	3,250,000$	3,250,000$	851,190$	No	3,250,000$	3,250,000$	RFA			Link / NHL Link
Carter Verhaeghe	Panthers	RW	30	1995-08-14	No	183 Lbs	6 ft2	No	No	Yes	3	Pro Only	6,660,000$	6,660,000$	1,744,286$	No	6,660,000$	6,660,000$	UFA			Link / NHL Link
Casey Cizikas	Panthers	C	34	1991-02-27	No	194 Lbs	5 ft11	Yes	No	No	2	Pro & Farm	1,500,000$	1,500,000$	392,857$	No	1,500,000$	UFA				Link / NHL Link
Chandler Stephenson	Panthers	C	31	1994-04-22	No	201 Lbs	6 ft0	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	1,571,429$	No	6,000,000$	6,000,000$	UFA			Link / NHL Link
Clayton Keller	Panthers	LW	27	1998-07-29	No	175 Lbs	5 ft10	No	No	Yes	3	Pro Only	6,500,000$	6,500,000$	1,702,381$	No	6,500,000$	6,500,000$	UFA			Link / NHL Link
Connor Clifton	Panthers	D	30	1995-04-28	No	195 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	785,714$	No	3,000,000$	UFA				Link / NHL Link
Connor Hellebuyck	Panthers	G	32	1993-05-19	No	207 Lbs	6 ft4	No	No	Yes	3	Pro Only	8,000,000$	8,000,000$	2,095,238$	No	8,000,000$	8,000,000$	UFA			Link / NHL Link
Dmitri Voronkov	Panthers	LW	25	2000-09-10	No	227 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	750,000$	196,429$	No	RFA					Link / NHL Link
Dylan Demelo	Panthers	D	32	1993-05-01	No	194 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	4,000,000$	4,000,000$	1,047,619$	No	4,000,000$	UFA				Link / NHL Link
Jaccob Slavin	Panthers	D	31	1994-05-01	No	207 Lbs	6 ft3	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	1,833,333$	No	7,000,000$	7,000,000$	UFA			Link / NHL Link
Jalen Chatfield	Panthers	D	29	1996-05-15	No	199 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,550,000$	1,550,000$	405,952$	No	UFA					Link / NHL Link
Justus Annunen	Panthers	G	25	2000-03-11	No	210 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	654,762$	No	2,500,000$	2,500,000$	UFA			Link / NHL Link
Kent Johnson	Panthers	RW	23	2002-10-18	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	242,262$	No	RFA					Link / NHL Link
Mark Stone	Panthers	RW	33	1992-05-13	No	210 Lbs	6 ft3	Yes	No	Yes	4	Pro Only	1$	1$	0$	No	10,000,000$	10,000,000$	10,000,000$	UFA		Link / NHL Link
Mason Marchment	Panthers	LW	30	1995-06-18	No	212 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	785,714$	No	UFA					Link / NHL Link
Matt Rempe	Panthers	C	23	2002-06-29	No	255 Lbs	6 ft9	No	No	No	1	Pro & Farm	700,000$	700,000$	183,333$	No	RFA					Link / NHL Link
Ondrej Palat	Panthers	LW	34	1991-03-28	No	194 Lbs	6 ft0	Yes	No	No	4	Pro & Farm	2,000,000$	2,000,000$	523,810$	No	2,000,000$	2,000,000$	2,000,000$	UFA		Link / NHL Link
Pierre-Luc Dubois	Panthers	C	27	1998-06-24	No	220 Lbs	6 ft4	No	No	Yes	3	Pro Only	6,500,000$	6,500,000$	1,702,381$	No	6,500,000$	6,500,000$	UFA			Link / NHL Link
Tyler Seguin	Panthers	C	33	1992-01-31	No	201 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	1,964,286$	No	7,500,000$	UFA				Link / NHL Link
Tyler Tucker	Panthers	D	25	2000-03-01	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	842,000$	842,000$	220,524$	No	RFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	29.18	203 Lbs	6 ft2	2.36	4,042,136$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
88,927,001$	82,410,000$	66,410,000$	20,000,000$	8,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Clayton Keller	Tyler Seguin	Mark Stone	40	1	2	2
2	Mason Marchment	Pierre-Luc Dubois	Kent Johnson	30	1	2	2
3	Dmitri Voronkov	Chandler Stephenson	Carter Verhaeghe	20	1	2	2
4	Ondrej Palat	Casey Cizikas	Bobby Brink	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	40	1	2	2
2	Alex Pietrangelo	Connor Clifton	30	1	2	2
3	Dylan Demelo	Jalen Chatfield	20	1	2	2
4	Aaron Ekblad	Jaccob Slavin	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Clayton Keller	Tyler Seguin	Mark Stone	60	1	2	2
2	Mason Marchment	Pierre-Luc Dubois	Kent Johnson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2	Alex Pietrangelo	Connor Clifton	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Stone	Clayton Keller	60	1	2	2
2	Tyler Seguin	Pierre-Luc Dubois	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2	Alex Pietrangelo	Connor Clifton	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mark Stone	60	1	2	2	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2	Clayton Keller	40	1	2	2	Alex Pietrangelo	Connor Clifton	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Stone	Clayton Keller	60	1	2	2
2	Tyler Seguin	Pierre-Luc Dubois	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Jaccob Slavin	60	1	2	2
2	Alex Pietrangelo	Connor Clifton	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Clayton Keller	Tyler Seguin	Mark Stone	Aaron Ekblad	Jaccob Slavin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Clayton Keller	Tyler Seguin	Mark Stone	Aaron Ekblad	Jaccob Slavin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Chandler Stephenson, Dmitri Voronkov, Carter Verhaeghe	Chandler Stephenson, Dmitri Voronkov	Carter Verhaeghe

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dylan Demelo, Jalen Chatfield, Alex Pietrangelo	Dylan Demelo	Jalen Chatfield, Alex Pietrangelo

Penalty Shots
Mark Stone, Clayton Keller, Tyler Seguin, Pierre-Luc Dubois, Kent Johnson

Goalie
#1 : Connor Hellebuyck, #2 : Justus Annunen

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Sabres	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	0.429	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
	Total	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	0.429	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
	_Since Last GM Reset	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	0.429	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
	_Vs Conference	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	0.429	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
	_Vs Division	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	0.429	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	L3	27	50	77	200	200	46	52	152	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	27	21

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	11	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	16	12

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	4	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
46	14	30.43%	24	8	66.67%	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
68	72	56	4	10	11	5	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
124	229	54.15%	111	245	45.31%	55	110	50.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
172	121	162	51	87	43

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	Link
1	3	Panthers	5	Sabres	4	AW	X	BoxScore
3	11	Panthers	5	Sabres	0	AW		BoxScore
5	19	Sabres	4	Panthers	2	BL		BoxScore
7	27	Sabres	0	Panthers	7	BW		BoxScore
9	35	Panthers	4	Sabres	5	AL		BoxScore
11	43	Sabres	5	Panthers	2	BL		BoxScore
13	51	Panthers	2	Sabres	3	AL		BoxScore

Depth Chart

Left Wing

Center

Right Wing

Clayton Keller

AGE:27
SK:		99
EN:		87
DU:		98
PH:		91
PA:		99
SC:		80
DF:		65
Mason Marchment

AGE:30
SK:		84
EN:		80
DU:		85
PH:		76
PA:		73
SC:		79
DF:		70
Dmitri Voronkov

AGE:25
SK:		81
EN:		82
DU:		93
PH:		71
PA:		67
SC:		76
DF:		72
Ondrej Palat

AGE:34
SK:		81
EN:		77
DU:		96
PH:		60
PA:		54
SC:		66
DF:		73
Beck Malenstyn

AGE:27
SK:		75
EN:		72
DU:		95
PH:		50
PA:		46
SC:		54
DF:		70
Zack MacEwen

AGE:29
SK:		75
EN:		67
DU:		57
PH:		51
PA:		44
SC:		58
DF:		64
Chase DeLeo

AGE:30
SK:		75
EN:		60
DU:		50
PH:		44
PA:		44
SC:		44
DF:		57
Maxim Groshev

AGE:24
SK:		75
EN:		65
DU:		55
PH:		38
PA:		30
SC:		45
DF:		59

Tyler Seguin

AGE:33
SK:		93
EN:		82
DU:		57
PH:		88
PA:		89
SC:		87
DF:		79
Pierre-Luc Dubois

AGE:27
SK:		85
EN:		84
DU:		99
PH:		78
PA:		86
SC:		70
DF:		75
Chandler Stephenson

AGE:31
SK:		87
EN:		87
DU:		96
PH:		72
PA:		80
SC:		64
DF:		79
Casey Cizikas

AGE:34
SK:		79
EN:		77
DU:		99
PH:		54
PA:		50
SC:		57
DF:		73
Dryden Hunt

AGE:30
SK:		84
EN:		60
DU:		50
PH:		66
PA:		70
SC:		57
DF:		70
Matt Rempe

AGE:23
SK:		75
EN:		69
DU:		72
PH:		53
PA:		50
SC:		56
DF:		65
James Hamblin

AGE:26
SK:		83
EN:		60
DU:		50
PH:		61
PA:		62
SC:		61
DF:		70
Mitchell Chaffee

AGE:27
SK:		78
EN:		75
DU:		88
PH:		56
PA:		47
SC:		65
DF:		58
Scott Reedy

AGE:26
SK:		75
EN:		60
DU:		50
PH:		40
PA:		36
SC:		43
DF:		66
Reese Johnson

AGE:27
SK:		75
EN:		64
DU:		54
PH:		35
PA:		35
SC:		36
DF:		56

Mark Stone

AGE:33
SK:		91
EN:		87
DU:		88
PH:		87
PA:		99
SC:		74
DF:		84
Kent Johnson

AGE:23
SK:		91
EN:		84
DU:		89
PH:		79
PA:		80
SC:		79
DF:		75
Carter Verhaeghe

AGE:30
SK:		86
EN:		84
DU:		98
PH:		72
PA:		73
SC:		70
DF:		63
Bobby Brink

AGE:24
SK:		87
EN:		79
DU:		97
PH:		66
PA:		70
SC:		62
DF:		67
Justin Brazeau

AGE:27
SK:		75
EN:		74
DU:		95
PH:		57
PA:		52
SC:		62
DF:		65
Julien Gauthier

AGE:28
SK:		75
EN:		60
DU:		50
PH:		59
PA:		52
SC:		65
DF:		60
Raphael Lavoie

AGE:25
SK:		75
EN:		60
DU:		50
PH:		51
PA:		40
SC:		63
DF:		53
Brandon Biro

AGE:27
SK:		78
EN:		65
DU:		55
PH:		50
PA:		61
SC:		39
DF:		58
Jacob Perreault

AGE:23
SK:		75
EN:		60
DU:		50
PH:		38
PA:		41
SC:		36
DF:		50

Defense #1

Defense #2

Goalie

Aaron Ekblad

AGE:29
SK:		81
EN:		89
DU:		81
PH:		70
PA:		84
SC:		57
DF:		87
Jaccob Slavin

AGE:31
SK:		78
EN:		86
DU:		98
PH:		60
PA:		62
SC:		59
DF:		97
Alex Pietrangelo

AGE:35
SK:		80
EN:		87
DU:		92
PH:		65
PA:		73
SC:		57
DF:		85
Connor Clifton

AGE:30
SK:		79
EN:		77
DU:		93
PH:		54
PA:		57
SC:		52
DF:		81
Dylan Demelo

AGE:32
SK:		78
EN:		86
DU:		99
PH:		55
PA:		56
SC:		55
DF:		82
Jalen Chatfield

AGE:29
SK:		78
EN:		81
DU:		97
PH:		56
PA:		51
SC:		61
DF:		78
Tyler Tucker

AGE:25
SK:		77
EN:		74
DU:		69
PH:		54
PA:		49
SC:		60
DF:		76

Sam Malinski

AGE:27
SK:		79
EN:		76
DU:		95
PH:		54
PA:		51
SC:		58
DF:		75
Robert Bortuzzo

AGE:36
SK:		75
EN:		68
DU:		55
PH:		50
PA:		50
SC:		50
DF:		68
Ty Nelson (R)

AGE:21
SK:		89
EN:		76
DU:		71
PH:		45
PA:		50
SC:		40
DF:		70
Jaycob Megna

AGE:33
SK:		75
EN:		68
DU:		63
PH:		36
PA:		38
SC:		34
DF:		70
Ville Heinola

AGE:24
SK:		75
EN:		74
DU:		55
PH:		47
PA:		45
SC:		50
DF:		75
John Ludvig

AGE:25
SK:		75
EN:		55
DU:		50
PH:		42
PA:		49
SC:		34
DF:		65
Filip Roos

AGE:26
SK:		75
EN:		72
DU:		67
PH:		35
PA:		41
SC:		30
DF:		60

Connor Hellebuyck

AGE:32
SK:		94
AG:		96
RB:		97
SC:		96
HS:		96
RT:		95
DF:		96
Justus Annunen

AGE:25
SK:		88
AG:		75
RB:		67
SC:		61
HS:		69
RT:		70
DF:		66
Jesper Vikman

AGE:23
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Thomas Milic

AGE:22
SK:		90
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Dylan Ferguson

AGE:27
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ty Young (R)

AGE:21
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick
Antoine Dorion	Panthers	2038	205
Ben Macdonald	Panthers	2036	108
Ben Roger	Panthers	2035	58
Cam Squires	Panthers	2037	104
Carlos Handel	Panthers	2039	169
Connor Levis	Panthers	2037	198
Daniel Ljungman	Panthers	2034	186
Devin Kaplan	Panthers	2036	85
Ethan Miedema	Panthers	2037	99
Ethan Phillips	Panthers	2033	121
Jackson Hallum	Panthers	2034	114
Jacob Cloutier	Panthers	2039	200
Jonathan Morello	Panthers	2038	151
Jonathan Tychonick	Panthers	2032	59
Joona Vaisanen	Panthers	2038	174
Kamil Bednarik	Panthers	2038	42
Kirill Gerasimyuk	Panthers	2035	182
Matthew Stienburg	Panthers	2033	85
Milton Oscarson	Panthers	2037	167
Mitchell Gibson	Panthers	2032	160
Niklas Nordgren	Panthers	2032	87
Quinn Beauchesne	Panthers	2039	138
Rasmus Korhonen	Panthers	2035	151
Reilly Webb	Panthers	2031	206
Samu Salminen	Panthers	2035	76
Topi Ronni	Panthers	2036	77

Draft Picks

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

Panthers 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	Vladimir Tarasenko	1092	368	436	804	32	555	1168	1566	3364	10.94%	172	20245	18.54	101	159	260	832	4	2	6	72	48	15	35.01%	5	0.79	19	49
2	Alex Pietrangelo	735	158	530	688	-1	595	654	1306	1638	9.65%	1416	18797	25.58	104	180	284	1028	4	11	15	18	22	5	0.00%	2	0.73	1	1
3	Evgeny Kuznetsov	1001	221	466	687	-61	421	928	2070	2173	10.17%	169	18049	18.03	64	172	236	497	5	6	11	59	31	10	49.86%	3	0.76	11	44
4	Tyler Seguin	625	241	386	627	130	373	833	1718	2089	11.54%	96	13628	21.81	63	138	201	512	5	8	13	67	33	10	54.05%	5	0.92	6	44
5	Aki Berg	1067	225	341	566	64	930	1497	1291	2084	10.80%	606	18854	17.67	38	62	100	264	9	12	21	67	33	10	46.73%	3	0.60	18	51

Panthers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Marc-Andre Fleury	260	133	105	12	0.901	3.21	14742	38	8	789	7974	8	5	0.719	64
2	Braden Holtby	151	96	40	15	0.908	2.66	8892	8	6	394	4262	12	2	0.708	48
3	Simeon Varlamov	152	80	48	11	0.905	3.09	8602	14	4	443	4639	5	1	0.745	47
4	Jeremy Swayman	106	56	38	5	0.893	3.25	5868	12	3	318	2976	6	0	0.786	14
5	Ryan Miller	78	50	21	3	0.913	2.75	4458	27	2	204	2348	5	0	0.938	32

Panthers 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	30	38	0	2	1	9	2	233	227	6	41	14	19	0	1	0	7	0	125	122	3	41	16	19	0	1	1	2	2	108	105	3	65	233	360	593	1	4	0	59	81	82	2243	0	753	730	743	2365	804	1262	1812	246	33	13.41%	320	53	83.44%	11	864	1787	48.35%	939	1929	48.68%	664	1286	51.63%	1768	984	1844	846	1545	771
2018	82	38	32	0	2	4	2	4	252	224	28	41	19	18	0	0	1	1	2	125	112	13	41	19	14	0	2	3	1	2	127	112	15	84	252	416	668	0	4	0	63	97	88	2592	0	813	885	880	2436	862	1092	1833	233	40	17.17%	216	43	80.09%	10	981	1992	49.25%	986	1999	49.32%	677	1339	50.56%	1716	958	1710	769	1536	767
2019	82	25	35	0	2	5	2	13	222	251	-29	41	13	20	0	1	1	1	5	107	124	-17	41	12	15	0	1	4	1	8	115	127	-12	59	222	343	565	3	0	0	47	89	82	2528	0	673	940	870	2463	857	906	1667	221	48	21.72%	238	48	79.83%	5	959	1963	48.85%	920	1967	46.77%	587	1194	49.16%	1619	839	1764	798	1619	802
2020	82	25	37	0	2	4	7	7	212	252	-40	41	15	17	0	1	2	2	4	112	122	-10	41	10	20	0	1	2	5	3	100	130	-30	58	212	331	543	2	3	0	45	75	83	2269	0	616	825	797	2575	833	1272	1854	222	37	16.67%	239	54	77.41%	4	846	1888	44.81%	960	2053	46.76%	545	1172	46.50%	1643	850	1740	790	1617	814
2021	82	28	41	0	2	1	5	5	244	284	-40	41	13	22	0	1	1	1	3	118	150	-32	41	15	19	0	1	0	4	2	126	134	-8	61	244	436	680	2	3	0	81	78	78	2555	0	859	841	829	2727	745	947	1938	434	75	17.28%	367	69	81.20%	1	1304	3106	41.98%	1179	3030	38.91%	508	1317	38.57%	1917	1304	2027	611	1031	511
2022	82	44	25	0	1	2	8	2	300	236	64	41	20	15	0	1	0	4	1	153	116	37	41	24	10	0	0	2	4	1	147	120	27	92	300	530	830	0	3	0	96	94	101	2741	0	877	874	957	2565	786	974	1828	427	107	25.06%	406	72	82.27%	3	1605	3183	50.42%	1532	3113	49.21%	626	1296	48.30%	1949	1329	1997	620	1031	521
2023	82	34	35	0	0	2	4	7	250	256	-6	41	20	15	0	0	2	2	2	135	124	11	41	14	20	0	0	0	2	5	115	132	-17	70	250	445	695	0	3	0	93	73	80	2333	0	774	783	760	2571	774	997	1788	439	106	24.15%	390	89	77.18%	2	1392	2895	48.08%	1365	3059	44.62%	662	1357	48.78%	1986	1371	1960	601	1030	523
2024	82	22	49	0	1	3	4	3	233	332	-99	41	9	25	0	1	2	1	3	116	178	-62	41	13	24	0	0	1	3	0	117	154	-37	60	233	406	639	4	1	0	90	70	68	2320	0	729	769	807	2756	859	1095	1769	434	71	16.36%	439	113	74.26%	4	1334	2823	47.25%	1318	3153	41.80%	597	1318	45.30%	1926	1320	2030	615	1008	491
2025	82	35	32	0	3	3	5	4	286	258	28	41	20	15	0	1	1	1	3	150	130	20	41	15	17	0	2	2	4	1	136	128	8	93	286	504	790	1	3	0	100	94	84	2702	0	871	910	891	2520	765	1010	1849	432	87	20.14%	428	71	83.41%	5	1619	3121	51.87%	1502	2923	51.39%	704	1329	52.97%	2052	1423	1896	606	1032	521
2026	82	41	27	0	2	5	3	4	286	261	25	41	18	13	0	2	2	3	3	143	136	7	41	23	14	0	0	3	0	1	143	125	18	101	286	512	798	1	5	0	113	89	79	2552	0	867	850	815	2700	798	1029	1788	446	92	20.63%	414	86	79.23%	6	1489	3007	49.52%	1452	3133	46.35%	648	1343	48.25%	1983	1362	1944	609	1036	519
2027	82	45	25	0	3	2	0	7	292	228	64	41	24	12	0	1	1	0	3	147	109	38	41	21	13	0	2	1	0	4	145	119	26	105	292	519	811	1	1	0	94	107	88	2812	0	939	944	908	2266	627	996	1818	439	97	22.10%	418	76	81.82%	0	1760	3186	55.24%	1431	2843	50.33%	706	1329	53.12%	2131	1506	1816	592	1019	527
2030	82	50	17	0	2	2	4	7	332	231	101	41	23	7	0	2	1	3	5	157	105	52	41	27	10	0	0	1	1	2	175	126	49	121	332	580	912	1	6	0	116	112	98	3078	0	1009	1065	975	2501	765	923	1791	476	111	23.32%	383	71	81.46%	4	1734	3385	51.23%	1391	3015	46.14%	694	1358	51.10%	2077	1470	1887	599	1020	518
2031	82	27	38	0	5	3	4	5	261	279	-18	41	17	20	0	1	1	0	2	128	133	-5	41	10	18	0	4	2	4	3	133	146	-13	80	261	464	725	0	3	0	91	78	83	2539	0	818	840	851	2803	801	1076	1906	380	82	21.58%	443	99	77.65%	3	1473	3017	48.82%	1411	3175	44.44%	667	1340	49.78%	1899	1288	2042	612	1038	514
2032	82	25	41	0	3	6	5	2	264	312	-48	41	12	23	0	3	2	1	0	124	150	-26	41	13	18	0	0	4	4	2	140	162	-22	74	264	457	721	0	1	0	89	83	84	2481	0	868	800	790	2737	756	1044	1856	411	79	19.22%	453	95	79.03%	7	1461	2976	49.09%	1424	3022	47.12%	658	1337	49.21%	1935	1323	2019	615	1021	509
2033	82	41	28	0	4	2	4	3	310	271	39	41	23	13	0	1	0	2	2	163	135	28	41	18	15	0	3	2	2	1	147	136	11	103	310	548	858	2	5	0	124	93	85	2812	0	904	946	936	2582	800	1105	1943	404	73	18.07%	457	82	82.06%	6	1574	3093	50.89%	1536	3066	50.10%	665	1364	48.75%	1911	1305	2035	623	1022	496
2034	82	38	32	0	2	3	4	3	262	277	-15	41	21	12	0	1	1	4	2	140	128	12	41	17	20	0	1	2	0	1	122	149	-27	94	262	451	713	0	2	0	105	85	66	2511	0	784	865	847	2806	765	937	1760	413	76	18.40%	406	78	80.79%	2	1542	2933	52.57%	1586	3160	50.19%	690	1337	51.61%	1901	1297	2030	623	1034	507
2035	82	38	36	0	3	1	3	1	248	265	-17	41	16	21	0	2	1	1	0	127	145	-18	41	22	15	0	1	0	2	1	121	120	1	90	248	444	692	2	3	0	92	70	80	2544	0	791	839	893	2834	806	982	1933	366	66	18.03%	435	88	79.77%	1	1511	2966	50.94%	1456	3280	44.39%	638	1320	48.33%	1869	1264	2057	615	1025	499
2036	82	28	41	0	6	3	3	1	290	317	-27	41	14	20	0	3	2	2	0	146	160	-14	41	14	21	0	3	1	1	1	144	157	-13	78	290	513	803	1	0	0	96	89	96	2631	0	858	839	905	2554	738	891	1705	379	77	20.32%	376	87	76.86%	4	1568	2885	54.35%	1394	2804	49.71%	703	1378	51.02%	1996	1401	1951	594	1012	511
2037	82	43	28	0	4	3	2	2	285	248	37	41	20	14	0	2	3	1	1	146	133	13	41	23	14	0	2	0	1	1	139	115	24	103	285	508	793	0	3	106	88	85	6	2532	811	885	817	30	2498	747	1005	1707	394	91	23.10%	434	67	84.56%	4	1579	2842	55.56%	1577	2935	53.73%	694	1313	52.86%	2024	1414	1900	602	1028	517
2038	82	32	34	0	5	7	2	2	270	278	-8	41	18	16	0	1	5	0	1	136	125	11	41	14	18	0	4	2	2	1	134	153	-19	87	270	473	743	1	3	94	89	80	9	2451	809	816	802	37	2531	781	918	1797	394	67	17.01%	404	79	80.45%	6	1471	2845	51.70%	1466	2861	51.24%	711	1339	53.10%	1980	1360	1949	606	1041	523
2039	82	38	29	0	2	5	4	4	273	241	32	41	19	14	0	1	2	3	2	145	115	30	41	19	15	0	1	3	1	2	128	126	2	97	273	495	768	1	2	103	85	79	10	2588	874	836	847	61	2370	680	871	1687	400	69	17.25%	368	71	80.71%	5	1555	2946	52.78%	1400	2822	49.61%	686	1299	52.81%	2088	1481	1867	590	1018	513
Total Regular Season	1722	727	700	0	56	67	84	88	5605	5528	77	861	368	351	0	27	31	40	44	2843	2752	91	861	359	349	0	29	36	44	44	2762	2776	-14	1775	5605	9735	15340	23	58	303	1856	1801	1530	53814	2494	17340	18011	15582	54160	16349	21332	38029	7990	1584	19.82%	8034	1591	80.20%	93	29621	58839	50.34%	28225	59342	47.56%	13730	27665	49.63%	40378	26860	40472	13547	23774	11885
Playoff
2017	6	2	4	0	0	0	0	0	16	13	3	3	1	2	0	0	0	0	0	9	6	3	3	1	2	0	0	0	0	0	7	7	0	4	16	28	44	0	2	0	7	3	6	160	0	52	46	60	152	51	76	143	17	2	11.76%	28	3	89.29%	1	49	125	39.20%	76	149	51.01%	45	103	43.69%	123	65	1973	907	121	57
2018	15	10	5	0	0	0	0	0	37	33	4	7	5	2	0	0	0	0	0	21	17	4	8	5	3	0	0	0	0	0	16	16	0	20	37	62	99	0	2	0	12	10	12	429	0	142	147	128	421	116	215	305	35	8	22.86%	51	10	80.39%	0	155	355	43.66%	157	347	45.24%	112	226	49.56%	305	161	317	146	301	147
2022	18	10	8	0	0	0	0	0	59	51	8	10	5	5	0	0	0	0	0	31	34	-3	8	5	3	0	0	0	0	0	28	17	11	20	59	107	166	1	1	0	27	12	20	627	0	230	165	227	548	143	181	357	90	21	23.33%	78	15	80.77%	0	395	732	53.96%	351	661	53.10%	136	268	50.75%	444	309	424	132	218	109
2025	6	2	4	0	0	0	0	0	16	21	-5	3	1	2	0	0	0	0	0	7	10	-3	3	1	2	0	0	0	0	0	9	11	-2	4	16	30	46	0	0	0	4	8	4	189	0	55	66	68	188	49	56	158	26	4	15.38%	28	6	78.57%	0	109	223	48.88%	111	219	50.68%	48	92	52.17%	143	98	141	42	75	37
2026	9	5	4	0	0	0	0	0	35	37	-2	5	3	2	0	0	0	0	0	19	18	1	4	2	2	0	0	0	0	0	16	19	-3	10	35	64	99	0	0	0	15	12	7	297	0	97	111	85	327	85	121	199	64	14	21.88%	51	9	82.35%	1	194	355	54.65%	162	368	44.02%	84	160	52.50%	233	164	204	64	109	57
2027	7	3	4	0	0	0	0	0	29	24	5	3	1	2	0	0	0	0	0	12	11	1	4	2	2	0	0	0	0	0	17	13	4	6	29	51	80	0	0	0	10	14	5	264	0	73	87	82	196	64	89	185	56	14	25.00%	43	8	81.40%	0	141	320	44.06%	138	262	52.67%	63	128	49.22%	200	140	171	58	98	49
2030	4	0	4	0	0	0	0	0	9	15	-6	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	5	9	-4	0	9	16	25	0	0	0	3	4	2	141	0	35	56	31	164	53	55	111	24	3	12.50%	25	8	68.00%	0	87	170	51.18%	82	194	42.27%	29	69	42.03%	106	72	104	30	51	26
2033	4	0	4	0	0	0	0	0	12	17	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	9	-3	0	12	22	34	0	0	0	3	5	4	166	0	58	45	42	161	29	70	91	26	5	19.23%	34	9	73.53%	0	86	188	45.74%	91	188	48.40%	31	74	41.89%	112	77	118	36	57	26
2034	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	5	7	-2	0	9	16	25	0	0	0	6	3	0	106	0	39	29	34	130	53	43	77	24	3	12.50%	18	2	88.89%	0	69	137	50.36%	75	156	48.08%	38	66	57.58%	90	59	112	33	53	24
2037	5	1	4	0	0	0	0	0	8	14	-6	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	5	7	-2	2	8	14	22	1	1	1	3	4	0	124	37	43	44	0	173	46	77	85	16	1	6.25%	32	6	81.25%	0	79	148	53.38%	113	220	51.36%	37	65	56.92%	112	76	125	36	62	30
2039	7	3	4	0	0	0	0	0	27	21	6	3	1	2	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	16	12	4	6	27	50	77	1	2	10	11	5	1	200	68	72	56	4	200	46	52	152	46	14	30.43%	24	8	66.67%	0	124	229	54.15%	111	245	45.31%	55	110	50.00%	172	121	162	51	87	43
Total Playoff	85	36	49	0	0	0	0	0	257	260	-3	42	17	25	0	0	0	0	0	127	133	-6	43	19	24	0	0	0	0	0	130	127	3	72	257	460	717	3	8	11	101	80	61	2703	105	896	852	761	2660	735	1035	1863	424	89	20.99%	412	84	79.61%	2	1488	2982	49.90%	1467	3009	48.75%	678	1361	49.82%	2044	1349	3854	1540	1235	610

Panthers 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	FO%	P/20
1	Aki Berg	108	16	28	44	20	76	143	118	160	10.00%	51	1810	16.77	2	3	5	14	1	2	3	3	2	45.09%	0.49
2	Vladimir Tarasenko	52	18	22	40	2	12	31	62	174	10.34%	7	979	18.83	4	8	12	35	1	0	1	4	3	27.78%	0.82
3	Alex Pietrangelo	40	11	28	39	3	36	15	76	87	12.64%	57	1001	25.04	9	9	18	67	0	1	1	0	2	0.00%	0.78
4	Drew Doughty	48	7	30	37	2	105	126	58	98	7.14%	50	1110	23.15	5	9	14	33	0	0	0	3	2	0.00%	0.67
5	Tyler Seguin	23	9	15	24	-2	8	33	64	68	13.24%	2	546	23.75	7	10	17	24	0	0	0	1	1	52.58%	0.88

Panthers 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	Henrik Lundqvist	15	10	4	1	0.920	2.17	911	0	2	33	415	161	1	0
2	Ryan Miller	14	7	4	1	0.913	2.75	787	21	0	36	415	0	0	1
3	Jaroslav Halak	9	5	4	0	0.891	3.97	514	0	0	34	311	0	0	0
4	Antti Niemi	6	3	3	0	0.894	2.82	298	0	1	14	132	0	0	0
5	Braden Holtby	10	3	3	3	0.893	3.16	646	2	0	34	319	0	0	0