Great Plains Hockey League

Admirals
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension

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
1	Jonathan Toews	X				99.00	63	52	81	86	75	83	90	87	98	81	78	70	86	80	87	78	50	75	0
2	Patrick Kane			X		99.00	59	40	88	95	64	84	99	85	36	90	84	54	75	81	88	80	50	75	0
3	Tyler Johnson	X				100.00	67	41	90	86	63	75	91	77	81	78	77	74	25	68	71	78	50	71	0
4	Jonathan Drouin			X		100.00	69	42	88	87	67	77	92	87	81	81	70	56	53	64	66	74	50	70	0
5	Anthony Mantha		X	X		100.00	76	58	81	80	81	76	92	78	36	75	81	60	25	60	60	77	50	69	0
6	Paul Byron	X				100.00	82	53	90	85	53	73	99	68	41	64	75	79	85	68	68	75	50	69	0
7	Travis Konecny		X	X		100.00	77	56	83	86	64	68	93	69	35	73	81	61	25	60	60	77	50	68	0
8	Marcus Johansson	X		X		100.00	61	42	85	84	75	73	73	81	52	75	70	61	25	72	75	71	50	68	0
9	Devin Shore	X				100.00	73	43	94	79	75	70	99	72	49	71	64	75	25	60	60	72	50	68	0
10	Andrew Copp	X				100.00	77	43	94	81	69	66	94	63	79	68	60	81	25	64	64	69	50	67	0
11	Andrew Shaw		X			100.00	81	56	71	81	65	73	77	78	80	65	72	59	53	70	74	70	50	67	0
12	Matt Cullen	X				100.00	59	41	91	74	74	62	93	56	82	62	66	71	72	98	99	67	50	66	0
13	Jeff Petry				X	100.00	85	45	89	84	74	89	98	84	25	68	54	86	25	72	73	72	50	76	0
14	Aaron Ekblad				X	100.00	71	66	76	88	82	88	92	77	25	62	61	88	25	66	67	72	50	74	0
15	Mike Matheson				X	100.00	69	52	79	87	70	83	98	68	25	56	53	90	75	60	61	69	50	72	0
16	Jordie Benn				X	100.00	77	58	86	74	75	77	91	60	25	52	48	85	45	68	69	64	50	69	0
17	Olli Maatta				X	100.00	81	45	89	86	76	76	86	67	25	62	50	74	25	66	68	66	50	69	0
18	Noah Juulsen (R)				X	100.00	90	46	94	76	70	78	69	62	25	49	48	85	25	46	46	64	50	67	0
Scratches
1	Derek MacKenzie	X	X			100.00	82	67	87	73	67	59	96	58	84	62	56	82	75	75	76	66	50	65	0
2	Robert Hagg				X	87.30	99	47	86	72	75	75	81	58	25	49	48	86	25	53	53	64	50	68	0
3	Mattias Backman				X	100.00	73	69	83	69	69	67	73	48	25	49	41	60	39	44	44	53	50	57	0

	TEAM AVERAGE					99.30	75	51	86	82	71	75	89	71	49	66	64	73	44	66	68	70	50	69

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
1	Curtis McElhinney	97.00	75	52	54	81	82	68	80	72	82	75	57	62	63	73	50	71	0
2	Matt Murray	100.00	72	80	75	70	71	74	60	72	77	73	65	48	48	72	50	67	0
Scratches
1	Charlie Lindgren	100.00	71	79	74	68	80	62	58	70	78	71	65	45	45	70	50	66	0

	TEAM AVERAGE	99.00	73	70	68	73	78	68	66	71	79	73	62	52	52	72	50	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jon Cooper	73	81	99	69	63	67	75	CAN	35	1	1,200,000$

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
1	Patrick Kane	Predators	RW	63	38	48	86	-2	12	0	84	77	318	107	159	11.95%	36	1507	23.93	9	17	26	35	118	0	1	1	7	138	6	3	30.68%	88	89	28	0	3	1.14	7	14	0	0	0	8	7	1
2	Jonathan Toews	Predators	C	63	35	41	76	-5	33	5	117	141	244	78	150	14.34%	27	1546	24.54	7	16	23	24	118	1	1	2	6	131	5	1	57.84%	1760	48	21	2	0	0.98	5	14	1	0	0	7	6	6
3	Anthony Mantha	Predators	LW/RW	63	16	16	32	1	37	5	89	60	122	25	62	13.11%	30	1257	19.97	7	3	10	13	118	0	0	0	5	74	1	3	26.14%	88	15	22	0	0	0.51	2	9	0	1	0	2	1	2
4	Tyler Johnson	Predators	C	62	13	18	31	-2	20	0	67	74	176	58	110	7.39%	20	960	15.49	1	6	7	9	66	1	0	1	4	44	0	0	51.16%	516	47	16	0	0	0.65	0	4	0	0	0	3	0	2
5	Jeff Petry	Predators	D	63	3	27	30	4	14	0	77	134	93	46	38	3.23%	87	1721	27.33	3	3	6	17	136	0	1	1	1	145	0	0	0.00%	0	23	59	0	0	0.35	0	0	0	0	0	1	3	2
6	Jonathan Drouin	Predators	RW	63	11	16	27	-14	14	0	78	96	195	55	104	5.64%	21	1185	18.82	3	4	7	16	102	1	0	1	2	53	2	1	45.45%	55	51	13	0	0	0.46	3	11	0	0	0	1	1	1
7	Marcus Johansson	Predators	C/RW	56	6	17	23	6	8	0	58	53	146	45	86	4.11%	9	864	15.43	0	0	0	0	3	0	0	0	5	46	1	0	52.73%	55	36	18	0	0	0.53	0	0	0	0	0	0	2	2
8	Devin Shore	Predators	C	63	12	10	22	1	0	0	66	59	77	26	52	15.58%	10	837	13.30	0	0	0	0	4	0	0	0	0	0	3	1	38.30%	329	10	14	0	0	0.53	0	0	0	0	0	4	1	3
9	Travis Konecny	Predators	LW/RW	63	13	8	21	-14	39	5	105	74	114	34	78	11.40%	22	1168	18.54	3	3	6	9	101	0	0	0	0	11	1	1	30.23%	43	21	15	0	0	0.36	0	0	1	0	0	2	0	1
10	Aaron Ekblad	Predators	D	63	2	17	19	5	61	5	76	103	79	39	39	2.53%	84	1510	23.97	1	3	4	7	136	0	0	0	3	123	1	0	0.00%	0	14	45	1	0	0.25	0	0	1	0	0	0	1	1
11	Andrew Shaw	Predators	LW	63	9	9	18	1	50	10	97	50	128	39	69	7.03%	16	866	13.76	0	0	0	1	0	0	0	0	0	2	1	0	45.00%	20	24	8	0	0	0.42	0	0	1	1	0	1	0	1
12	Paul Byron	Predators	C	63	5	7	12	-19	9	5	100	90	73	28	42	6.85%	24	1100	17.46	1	2	3	8	90	0	0	0	0	0	0	0	33.63%	672	19	22	0	0	0.22	5	5	0	0	1	1	0	2
13	Jordie Benn	Predators	D	63	2	9	11	-5	21	5	28	81	23	14	15	8.70%	35	953	15.13	0	1	1	0	23	0	0	0	0	26	0	0	0.00%	0	3	27	0	0	0.23	0	0	0	0	1	0	0	0
14	Olli Maatta	Predators	D	55	0	7	7	-7	8	0	52	51	27	8	15	0.00%	40	1017	18.49	0	0	0	0	66	0	0	0	0	71	0	0	0.00%	0	5	34	0	0	0.14	0	0	0	0	0	0	0	0
15	Mike Matheson	Predators	D	63	1	5	6	-8	34	0	50	87	39	20	13	2.56%	56	1230	19.53	1	0	1	1	89	0	0	0	0	89	0	0	0.00%	0	9	42	0	0	0.10	0	2	0	0	0	0	0	0
16	Andrew Copp	Predators	C	63	1	4	5	0	0	0	36	29	24	8	16	4.17%	1	427	6.79	0	0	0	0	2	0	0	0	2	28	1	0	58.90%	163	5	5	0	0	0.23	0	0	0	0	0	0	0	1
17	Robert Hagg	Predators	D	62	0	5	5	-10	8	0	54	58	20	8	9	0.00%	39	839	13.54	0	0	0	0	0	0	0	0	1	35	0	0	0.00%	0	2	32	0	0	0.12	0	0	0	0	0	0	0	0
18	Matt Cullen	Predators	C	57	0	2	2	-2	0	0	9	14	11	1	3	0.00%	1	202	3.55	0	0	0	0	5	0	0	0	0	3	0	0	67.50%	40	1	2	0	0	0.20	0	1	0	0	0	0	0	0
19	Derek MacKenzie	Predators	C/LW	15	0	1	1	1	4	0	7	11	4	1	3	0.00%	3	138	9.27	0	0	0	0	0	0	0	0	0	10	0	0	33.33%	6	2	2	0	0	0.14	1	1	0	0	0	0	0	0
20	Noah Juulsen	Predators	D	63	0	1	1	-7	4	0	23	27	6	2	2	0.00%	14	390	6.20	0	0	0	0	0	0	0	0	0	16	0	0	0.00%	0	1	7	0	0	0.05	0	0	0	0	0	0	0	0
Team Total or Average				1189	167	268	435	-76	376	40	1273	1369	1919	642	1065	8.70%	575	19726	16.59	36	58	94	140	1185	3	3	6	36	1052	22	10	49.15%	3835	425	432	3	3	0.44	23	61	4	2	2	30	22	25

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Curtis McElhinney	Predators	39	19	15	3	0.912	2.64	2273	4	100	1142	598	1	1	0.750	32	37	24	5	2	0
2	Matt Murray	Predators	27	12	9	5	0.911	2.65	1587	6	70	787	396	1	2	0.654	26	26	31	3	2	4
Team Total or Average			66	31	24	8	0.912	2.64	3860	10	170	1929	994	2	3	0.707	58	63	55	8	4	4

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aaron Ekblad	Predators	D	23	1996-02-06	No	216 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	7,500,000$	7,500,000$	1,843,575$	No	Link
Andrew Copp	Predators	C	24	1994-07-07	No	206 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	650,000$	650,000$	159,777$	No	Link
Andrew Shaw	Predators	LW	26	1992-07-20	No	179 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	3,000,000$	3,000,000$	737,430$	No	Link
Anthony Mantha	Predators	LW/RW	24	1994-09-15	No	221 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	3,500,000$	3,500,000$	860,335$	No	Link
Charlie Lindgren	Predators	G	25	1993-12-17	No	190 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	950,000$	233,520$	No	Link
Curtis McElhinney	Predators	G	35	1983-07-14 1:21:33 PM	No	200 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	850,000$	850,000$	208,939$	No	Link
Derek MacKenzie	Predators	C/LW	36	1982-07-14 7:21:32 AM	No	181 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	1,350,000$	1,350,000$	331,844$	No	Link
Devin Shore	Predators	C	24	1994-07-19	No	205 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	1,200,000$	1,200,000$	294,972$	No	Link
Jeff Petry	Predators	D	30	1988-07-14 7:21:32 PM	No	204 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	5,125,000$	5,125,000$	1,259,777$	No	Link
Jonathan Drouin	Predators	RW	23	1995-03-28	No	188 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	5,500,000$	5,500,000$	1,351,955$	No	Link
Jonathan Toews	Predators	C	29	1989-07-14 1:21:32 AM	No	201 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	10,000,000$	10,000,000$	2,458,101$	No	Link
Jordie Benn	Predators	D	30	1988-07-26	No	200 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,100,000$	1,100,000$	270,391$	No	Link
Marcus Johansson	Predators	C/RW	27	1991-10-06	No	204 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	4,000,000$	4,000,000$	983,240$	No	Link
Matt Cullen	Predators	C	41	1977-07-14 1:21:32 AM	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	900,000$	900,000$	221,229$	No	Link
Matt Murray	Predators	G	24	1994-05-24	No	185 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	4,285,000$	4,285,000$	1,053,296$	No	Link
Mattias Backman	Predators	D	26	1992-10-02	No	181 Lbs	6 ft2	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link
Mike Matheson	Predators	D	24	1994-02-27	No	192 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	900,000$	221,229$	No	Link
Noah Juulsen	Predators	D	21	1997-04-02	Yes	175 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	900,000$	900,000$	221,229$	No	Link
Olli Maatta	Predators	D	24	1994-08-22	No	206 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	4,000,000$	4,000,000$	983,240$	No	Link
Patrick Kane	Predators	RW	29	1989-07-14 1:21:32 AM	No	177 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	10,000,000$	10,000,000$	2,458,101$	No	Link
Paul Byron	Predators	C	28	1990-04-27	No	160 Lbs	5 ft9	No	No	No	2	UFA	Pro & Farm	1,200,000$	1,200,000$	294,972$	No	Link
Robert Hagg (Out of Payroll)	Predators	D	24	1995-02-07	No	204 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,800,000$	0$	0$	Yes	Link
Travis Konecny	Predators	LW/RW	21	1997-03-11	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	900,000$	900,000$	221,229$	No	Link
Tyler Johnson	Predators	C	27	1991-07-29	No	183 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	4,950,000$	4,950,000$	1,216,760$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.88	193 Lbs	6 ft1	2.29	3,106,667$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
74,560,000$	54,860,000$	45,685,000$	28,485,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Mantha	Jonathan Toews	Patrick Kane	40	1	2	2
2	Travis Konecny	Tyler Johnson	Jonathan Drouin	30	1	2	2
3	Andrew Shaw	Paul Byron	Marcus Johansson	20	1	2	2
4	Jonathan Toews	Devin Shore	Patrick Kane	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Petry	Aaron Ekblad	40	1	2	2
2	Mike Matheson	Olli Maatta	30	1	2	2
3	Jordie Benn	Noah Juulsen	20	1	2	2
4	Jeff Petry	Aaron Ekblad	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Mantha	Jonathan Toews	Patrick Kane	60	1	2	2
2	Travis Konecny	Tyler Johnson	Jonathan Drouin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Petry	Aaron Ekblad	60	1	2	2
2	Mike Matheson	Olli Maatta	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Toews	Patrick Kane	60	1	2	2
2	Tyler Johnson	Jonathan Drouin	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Petry	Aaron Ekblad	60	1	2	2
2	Mike Matheson	Olli Maatta	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jonathan Toews	60	1	2	2	Jeff Petry	Aaron Ekblad	60	1	2	2
2	Patrick Kane	40	1	2	2	Mike Matheson	Olli Maatta	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Toews	Patrick Kane	60	1	2	2
2	Tyler Johnson	Jonathan Drouin	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Petry	Aaron Ekblad	60	1	2	2
2	Mike Matheson	Olli Maatta	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Mantha	Jonathan Toews	Patrick Kane	Jeff Petry	Aaron Ekblad

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Mantha	Jonathan Toews	Patrick Kane	Jeff Petry	Aaron Ekblad

Extra Forwards
Normal	PowerPlay	Penalty Kill
Andrew Copp, Matt Cullen, Paul Byron	Andrew Copp, Matt Cullen	Paul Byron

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jordie Benn, Noah Juulsen, Mike Matheson	Jordie Benn	Noah Juulsen, Mike Matheson

Penalty Shots
Jonathan Toews, Patrick Kane, Tyler Johnson, Jonathan Drouin, Anthony Mantha

Goalie
#1 : Curtis McElhinney, #2 : Matt Murray

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	3	0	0	0	1	0	2	0	8	5	3	1	0	0	0	0	0	1	0	4	3	1	2	0	0	0	1	0	1	0	4	2	2	6	1.000	8	10	18	0	0	0	3	2	5	86	15	31	36	13	80	30	8	73	8	2	25.00%	4	1	75.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	61	28	63	30	65	33
2	Blackhawks	3	1	1	0	0	0	1	0	9	11	-2	1	0	0	0	0	0	1	0	4	3	1	2	1	1	0	0	0	0	0	5	8	-3	4	0.667	9	13	22	0	0	3	2	3	1	89	34	16	38	3	84	22	15	49	9	4	44.44%	5	1	80.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	63	33	60	28	61	31
3	Blue Jackets	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	8	13	0	0	3	0	1	2	24	13	1	10	2	36	10	14	16	2	0	0.00%	7	2	71.43%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	21	10	22	10	21	10
4	Blues	4	1	3	0	0	0	0	0	11	13	-2	2	0	2	0	0	0	0	0	3	7	-4	2	1	1	0	0	0	0	0	8	6	2	2	0.250	11	16	27	1	0	3	4	4	0	105	25	46	34	0	106	41	51	87	19	3	15.79%	23	8	65.22%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	85	43	74	38	79	40
5	Bruins	2	0	0	0	1	0	1	0	9	7	2	1	0	0	0	0	0	1	0	6	5	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	9	12	21	0	0	2	5	0	3	57	19	19	18	5	66	20	12	33	5	1	20.00%	6	2	66.67%	1	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	42	22	46	20	37	19
6	Canadiens	2	0	0	0	0	1	0	1	3	5	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0.500	3	4	7	0	0	0	1	2	2	45	18	11	15	6	70	26	17	36	2	0	0.00%	6	1	83.33%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	39	20	48	19	38	19
7	Canucks	2	0	1	0	0	0	0	1	2	6	-4	1	0	1	0	0	0	0	0	0	3	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	2	3	5	0	0	0	1	1	0	62	20	18	24	3	56	14	10	39	3	0	0.00%	5	1	80.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	44	24	40	19	40	19
8	Capitals	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	2	0.500	5	8	13	0	0	3	2	0	0	56	17	21	18	0	62	22	16	35	4	2	50.00%	8	1	87.50%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	37	17	44	19	38	19
9	Coyotes	3	0	3	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	7	11	0	0	1	0	3	0	64	16	24	24	0	105	29	25	68	4	1	25.00%	10	1	90.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	55	27	68	28	55	28
10	Devils	2	0	0	0	0	1	0	1	3	5	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0.500	3	5	8	0	0	1	1	1	1	59	24	19	15	8	81	22	16	31	5	0	0.00%	8	2	75.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	44	25	46	20	36	17
11	Ducks	2	0	1	0	1	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	6	-3	1	0	0	0	1	0	0	0	3	2	1	2	0.500	6	9	15	0	0	1	2	2	1	65	29	16	19	1	63	16	15	50	1	0	0.00%	5	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	43	24	40	17	38	19
12	Flames	3	1	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	1	0	5	3	2	4	0.667	6	7	13	0	0	1	2	2	2	73	19	15	27	17	93	22	16	59	3	1	33.33%	8	2	75.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	56	28	66	29	61	30
13	Flyers	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	8	14	22	0	0	1	1	6	0	68	15	27	26	0	65	15	8	39	8	3	37.50%	4	1	75.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	41	22	41	18	37	19
14	Golden Knights	3	1	0	0	1	1	0	0	9	8	1	1	0	0	0	0	1	0	0	2	3	-1	2	1	0	0	1	0	0	0	7	5	2	5	0.833	9	15	24	0	0	1	4	3	1	83	20	22	39	2	85	23	12	55	9	1	11.11%	6	1	83.33%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	63	32	60	27	59	32
15	Hurricanes	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	0	0	0	0	19	0	8	11	0	36	9	6	15	1	0	0.00%	2	2	0.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	17	8	19	10	22	10
16	Islanders	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	6	2	4	2	0.500	7	11	18	1	0	1	2	4	0	60	12	13	35	0	48	13	8	38	6	3	50.00%	4	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	42	23	35	20	41	20
17	Jets	2	1	1	0	0	0	0	0	4	5	-1	2	1	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	4	6	10	0	0	0	3	1	0	64	19	31	14	0	67	16	2	46	2	0	0.00%	1	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	39	21	42	18	37	19
18	Kings	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	9	15	0	0	1	2	3	0	61	19	18	24	0	65	18	8	37	10	3	30.00%	4	1	75.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	42	22	42	17	35	19
19	Lightning	2	0	1	0	0	0	0	1	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	9	14	0	0	1	0	4	3	60	11	12	35	8	78	11	10	41	6	2	33.33%	5	1	80.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	40	20	47	19	37	19
20	Maple Leafs	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	4	8	0	0	0	2	1	1	18	3	12	2	1	21	14	4	17	2	0	0.00%	2	1	50.00%	1	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	20	10	17	9	21	11
21	Oilers	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	6	9	0	0	1	1	1	0	56	16	16	24	0	63	18	10	35	2	0	0.00%	5	1	80.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	40	21	40	18	38	20
22	Panthers	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	6	3	3	4	1.000	9	15	24	0	0	4	3	2	0	59	15	19	25	0	56	16	2	37	4	2	50.00%	1	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	37	19	40	20	41	19
23	Rangers	2	0	0	0	0	0	2	0	7	5	2	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	10	17	0	0	1	2	2	3	59	12	21	26	6	63	19	10	32	7	1	14.29%	5	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	42	20	44	21	43	21
24	Red Wings	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	4	7	0	0	1	0	2	0	52	18	14	20	0	53	20	10	37	5	1	20.00%	5	2	60.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	38	19	40	19	41	19
25	Sabres	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	1	1	3	0	28	10	9	9	0	20	4	4	23	4	2	50.00%	2	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	21	11	19	8	18	10
26	Senators	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	1	0	2	1	2	0	68	21	22	25	0	77	23	4	34	4	0	0.00%	2	1	50.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	45	28	41	16	32	17
27	Sharks	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	7	12	0	0	2	1	1	1	62	15	20	25	2	77	26	10	40	2	1	50.00%	5	3	40.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	43	24	41	18	39	19
28	Stars	5	2	2	0	0	0	1	0	12	11	1	3	1	1	0	0	0	1	0	6	6	0	2	1	1	0	0	0	0	0	6	5	1	6	0.600	12	18	30	0	0	5	4	2	2	122	50	41	30	6	130	28	45	83	9	1	11.11%	15	3	80.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	103	53	96	49	104	51
	Total	63	16	24	0	6	3	9	5	165	178	-13	32	6	16	0	1	1	5	3	74	94	-20	31	10	8	0	5	2	4	2	91	84	7	70	0.556	165	251	416	3	0	40	51	59	29	1755	515	548	663	87	1932	557	370	1211	147	35	23.81%	164	39	76.22%	2	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	1296	680	1315	608	1254	633
30	Wild	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	2	4	0	0	0	1	1	1	31	10	6	15	4	26	10	2	26	1	1	100.00%	1	0	100.00%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	21	10	19	10	24	12
	_Since Last GM Reset	63	16	24	0	6	3	9	5	165	178	-13	32	6	16	0	1	1	5	3	74	94	-20	31	10	8	0	5	2	4	2	91	84	7	70	0.556	165	251	416	3	0	40	51	59	29	1755	515	548	663	87	1932	557	370	1211	147	35	23.81%	164	39	76.22%	2	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	1296	680	1315	608	1254	633
	_Vs Conference	37	8	17	0	4	1	5	2	87	103	-16	20	3	11	0	1	1	3	1	42	60	-18	17	5	6	0	3	0	2	1	45	43	2	37	0.500	87	128	215	1	0	19	30	29	14	1023	307	320	373	51	1100	313	229	747	82	18	21.95%	97	23	76.29%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	764	398	759	353	742	378
	_Vs Division	18	5	7	0	1	0	4	1	46	48	-2	10	2	4	0	0	0	3	1	23	27	-4	8	3	3	0	1	0	1	0	23	21	2	21	0.583	46	65	111	1	0	11	17	13	9	497	153	171	167	26	493	147	123	364	48	11	22.92%	49	13	73.47%	0	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	374	191	357	176	373	188

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
63	70	L2	165	251	416	1755	1932	557	370	1211	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	16	24	6	3	9	5	165	178

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	6	16	1	1	5	3	74	94

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	10	8	5	2	4	2	91	84

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
147	35	23.81%	164	39	76.22%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
515	548	663	87	40	51	59	29

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
602	1252	48.08%	605	1273	47.53%	451	815	55.34%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1296	680	1315	608	1254	633

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
2 - 2018-10-03	6	Predators	3	Rangers	2	W	X	X		BoxScore
4 - 2018-10-05	22	Predators	6	Islanders	2	W				BoxScore
8 - 2018-10-09	39	Flames	3	Predators	1	L				BoxScore
10 - 2018-10-11	55	Jets	4	Predators	2	L				BoxScore
11 - 2018-10-12	66	Islanders	3	Predators	1	L				BoxScore
13 - 2018-10-14	77	Wild	3	Predators	2	L	X	X		BoxScore
17 - 2018-10-18	101	Predators	2	Flames	1	W	X	X		BoxScore
18 - 2018-10-19	113	Predators	1	Oilers	2	L				BoxScore
21 - 2018-10-22	126	Sharks	2	Predators	3	W	X			BoxScore
23 - 2018-10-24	136	Predators	2	Devils	3	L	X			BoxScore
25 - 2018-10-26	150	Oilers	5	Predators	2	L				BoxScore
28 - 2018-10-29	173	Golden Knights	3	Predators	2	L	X			BoxScore
30 - 2018-10-31	185	Predators	3	Lightning	4	L	X	X		BoxScore
32 - 2018-11-02	202	Bruins	5	Predators	6	W	X	X		BoxScore
36 - 2018-11-06	225	Predators	2	Avalanche	1	W	X	X		BoxScore
39 - 2018-11-09	244	Predators	4	Stars	2	W				BoxScore
41 - 2018-11-11	263	Predators	3	Ducks	2	W	X			BoxScore
42 - 2018-11-12	272	Predators	2	Sharks	4	L				BoxScore
44 - 2018-11-14	284	Predators	2	Coyotes	3	L				BoxScore
46 - 2018-11-16	300	Kings	3	Predators	4	W				BoxScore
48 - 2018-11-18	314	Lightning	3	Predators	2	L				BoxScore
50 - 2018-11-20	326	Blues	4	Predators	2	L			R3	BoxScore
51 - 2018-11-21	344	Predators	3	Blues	5	L				BoxScore
53 - 2018-11-23	360	Ducks	6	Predators	3	L				BoxScore
56 - 2018-11-26	371	Avalanche	3	Predators	4	W	X	X		BoxScore
58 - 2018-11-28	386	Coyotes	3	Predators	1	L				BoxScore
60 - 2018-11-30	405	Blackhawks	3	Predators	4	W	X	X		BoxScore
62 - 2018-12-02	414	Sabres	3	Predators	5	W				BoxScore
65 - 2018-12-05	437	Predators	2	Canucks	3	L	X	X		BoxScore
67 - 2018-12-07	453	Predators	3	Flames	2	W				BoxScore
70 - 2018-12-10	471	Senators	4	Predators	2	L				BoxScore
72 - 2018-12-12	483	Canucks	3	Predators	0	L				BoxScore
74 - 2018-12-14	502	Devils	2	Predators	1	L	X	X		BoxScore
76 - 2018-12-16	515	Predators	3	Senators	2	W				BoxScore
77 - 2018-12-17	522	Predators	5	Blackhawks	1	W				BoxScore
79 - 2018-12-19	532	Predators	5	Flyers	4	W				BoxScore
81 - 2018-12-21	545	Predators	3	Bruins	2	W	X			BoxScore
83 - 2018-12-23	573	Stars	4	Predators	1	L				BoxScore
85 - 2018-12-25	593	Rangers	3	Predators	4	W	X	X		BoxScore
87 - 2018-12-27	599	Predators	2	Capitals	1	W				BoxScore
88 - 2018-12-28	613	Flyers	1	Predators	3	W				BoxScore
91 - 2018-12-31	630	Predators	2	Red Wings	3	L				BoxScore
92 - 2019-01-01	640	Predators	2	Canadiens	3	L	X			BoxScore
94 - 2019-01-03	652	Predators	4	Maple Leafs	3	W	X			BoxScore
96 - 2019-01-05	668	Predators	0	Blackhawks	7	L				BoxScore
97 - 2019-01-06	675	Predators	5	Blue Jackets	4	W	X	X		BoxScore
100 - 2019-01-09	699	Predators	0	Hurricanes	5	L				BoxScore
102 - 2019-01-11	716	Capitals	4	Predators	3	L				BoxScore
104 - 2019-01-13	730	Jets	1	Predators	2	W				BoxScore
106 - 2019-01-15	747	Panthers	1	Predators	3	W				BoxScore
108 - 2019-01-17	756	Predators	2	Avalanche	1	W	X			BoxScore
110 - 2019-01-19	768	Predators	3	Golden Knights	2	W	X			BoxScore
115 - 2019-01-24	782	Predators	6	Panthers	3	W				BoxScore
116 - 2019-01-25	798	Stars	1	Predators	3	W				BoxScore
119 - 2019-01-28	817	Coyotes	2	Predators	1	L				BoxScore
121 - 2019-01-30	832	Stars	1	Predators	2	W	X	X		BoxScore
123 - 2019-02-01	843	Predators	5	Blues	1	W			R3	BoxScore
124 - 2019-02-02	852	Blues	3	Predators	1	L				BoxScore
126 - 2019-02-04	870	Red Wings	3	Predators	1	L				BoxScore
128 - 2019-02-06	881	Canadiens	2	Predators	1	L	X	X		BoxScore
130 - 2019-02-08	901	Predators	4	Golden Knights	3	W				BoxScore
133 - 2019-02-11	923	Predators	2	Stars	3	L				BoxScore
135 - 2019-02-13	936	Kings	3	Predators	2	L				BoxScore
137 - 2019-02-15	951	Avalanche	-	Predators	-
139 - 2019-02-17	965	Oilers	-	Predators	-
140 - 2019-02-18	975	Predators	-	Blues	-
143 - 2019-02-21	996	Predators	-	Jets	-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2019-02-23	1015	Predators	-	Wild	-
147 - 2019-02-25	1024	Wild	-	Predators	-
151 - 2019-03-01	1057	Hurricanes	-	Predators	-
154 - 2019-03-04	1079	Predators	-	Ducks	-
156 - 2019-03-06	1091	Predators	-	Kings	-
158 - 2019-03-08	1110	Predators	-	Sharks	-
161 - 2019-03-11	1128	Maple Leafs	-	Predators	-
163 - 2019-03-13	1141	Penguins	-	Predators	-
165 - 2019-03-15	1154	Predators	-	Jets	-
167 - 2019-03-17	1174	Predators	-	Wild	-
171 - 2019-03-21	1198	Predators	-	Penguins	-
172 - 2019-03-22	1210	Blue Jackets	-	Predators	-
175 - 2019-03-25	1229	Predators	-	Sabres	-
177 - 2019-03-27	1249	Canucks	-	Predators	-
179 - 2019-03-29	1266	Blackhawks	-	Predators	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	20	200
Attendance	145,273	122,450	49,670	121,450	24,474
Attendance PCT	75.66%	76.53%	77.61%	94.88%	76.48%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
9	14479 - 80.44%	773,414$	24,749,240$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
52,984,626$	72,760,000$	60,960,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
72,760,000$	51,967,885$	0$	22	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,960,724$	44	413,184$	18,180,096$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
18,770,640$	72,760,000$	46,260,837$	34,450,921$

Depth Chart

Left Wing

Center

Right Wing

Anthony Mantha	AGE:24	PO:77	OV:69
Travis Konecny	AGE:21	PO:77	OV:68
Andrew Shaw	AGE:26	PO:70	OV:67
Derek MacKenzie	AGE:36	PO:66	OV:65
Daniel Carr	AGE:27	PO:70	OV:64
Charles Hudon	AGE:24	PO:69	OV:63
Jacob de La Rose	AGE:23	PO:65	OV:63
Frank Vatrano	AGE:24	PO:66	OV:61
Nikita Scherbak	AGE:23	PO:67	OV:60
Michael Mersch	AGE:27	PO:65	OV:59
Danick Martel	AGE:24	PO:64	OV:59
Matt Carey	AGE:26	PO:59	OV:56
*Michael Carcone	AGE:22	PO:59	OV:55
Tim Bozon	AGE:24	PO:59	OV:55

Jonathan Toews	AGE:29	PO:78	OV:75
Tyler Johnson	AGE:27	PO:78	OV:71
Paul Byron	AGE:28	PO:75	OV:69
Devin Shore	AGE:24	PO:72	OV:68
Marcus Johansson	AGE:27	PO:71	OV:68
Andrew Copp	AGE:24	PO:69	OV:67
Matt Cullen	AGE:41	PO:67	OV:66
Derek MacKenzie	AGE:36	PO:66	OV:65
Nick Cousins	AGE:25	PO:69	OV:64
Jack Roslovic	AGE:22	PO:70	OV:63
Jacob de La Rose	AGE:23	PO:65	OV:63
*Dylan Strome	AGE:21	PO:68	OV:62
Andrew Miller	AGE:30	PO:66	OV:62
*Sam Anas	AGE:25	PO:67	OV:61
Frank Vatrano	AGE:24	PO:66	OV:61
Tanner Fritz	AGE:27	PO:65	OV:61
Michael McCarron	AGE:23	PO:62	OV:61
Danick Martel	AGE:24	PO:64	OV:59
Lucas Wallmark	AGE:23	PO:62	OV:57
Daniel Pribyl	AGE:26	PO:60	OV:57
*Axel Holmstrom	AGE:22	PO:58	OV:57
Kyle Platzer	AGE:23	PO:59	OV:55
*Jean-Christophe Beaudin	AGE:21	PO:55	OV:53
Markus Eisenschmid	AGE:24	PO:54	OV:53
Angelo Miceli	AGE:24	PO:1	OV:51

Patrick Kane	AGE:29	PO:80	OV:75
Jonathan Drouin	AGE:23	PO:74	OV:70
Anthony Mantha	AGE:24	PO:77	OV:69
Travis Konecny	AGE:21	PO:77	OV:68
Marcus Johansson	AGE:27	PO:71	OV:68
Martin Frk	AGE:25	PO:69	OV:62
Andrew Miller	AGE:30	PO:66	OV:62
*Sam Anas	AGE:25	PO:67	OV:61
Frank Vatrano	AGE:24	PO:66	OV:61
Ryan Haggerty	AGE:25	PO:66	OV:61
Michael McCarron	AGE:23	PO:62	OV:61
Nikita Scherbak	AGE:23	PO:67	OV:60
*Jean-Christophe Beaudin	AGE:21	PO:55	OV:53
Markus Eisenschmid	AGE:24	PO:54	OV:53

Defense #1

Defense #2

Goalie

Jeff Petry	AGE:30	PO:72	OV:76
Aaron Ekblad	AGE:23	PO:72	OV:74
Mike Matheson	AGE:24	PO:69	OV:72
Olli Maatta	AGE:24	PO:66	OV:69
Jordie Benn	AGE:30	PO:64	OV:69
Robert Hagg	AGE:24	PO:64	OV:68
*Noah Juulsen	AGE:21	PO:64	OV:67
Joakim Ryan	AGE:25	PO:61	OV:62
T.J. Brennan	AGE:28	PO:61	OV:61
MacKenzie Weegar	AGE:25	PO:60	OV:61

*Victor Mete	AGE:20	PO:59	OV:61
*Darren Raddysh	AGE:22	PO:59	OV:59
*Brennan Menell	AGE:21	PO:56	OV:58
Rinat Valiev	AGE:23	PO:56	OV:58
*James de Haas	AGE:24	PO:54	OV:57
Mattias Backman	AGE:26	PO:53	OV:57
Jacob Graves	AGE:23	PO:56	OV:55
Mac Bennett	AGE:27	PO:51	OV:54
*Simon Bourque	AGE:22	PO:50	OV:54

Curtis McElhinney	AGE:35	PO:73	OV:71
Matt Murray	AGE:24	PO:72	OV:67
Charlie Lindgren	AGE:25	PO:70	OV:66
Matthew O'Connor	AGE:27	PO:53	OV:55
Zachary Fucale	AGE:23	PO:52	OV:53

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
Cale Fleury	Predators	2017	74
Carl Neill	Predators	2015	143
Grigori Denisenko	Predators	2018	20
Hunter Drew	Predators	2018	175
Jake Evans	Predators	2014	195
Joey Keane	Predators	2018	85
John Draeger	Predators	2012	84
John Marino	Predators	2015	168
John St. Ivany	Predators	2018	113
Jonatan Berggren	Predators	2018	34
Joni Ikonen	Predators	2017	63
Josh Brook	Predators	2017	59
Kale Howarth	Predators	2017	160
Kole Lind	Predators	2017	33
Linus Weissbach	Predators	2017	200
Lukas Vejdemo	Predators	2015	42
Maksim Zhukov	Predators	2017	82
Mario Ferraro	Predators	2017	55
Miro Karjalainen	Predators	2014	141
Nicholas Boka	Predators	2015	180
Nicolas Beaudin	Predators	2018	26
Ryan Poehling	Predators	2017	27
Spencer Smallman	Predators	2015	156
Steven Lorentz	Predators	2015	190
Teemu Kivihalme	Predators	2013	148

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2019				Pit Clb Nas	Nas	Nas	Nas
2020	Nas	Nas	Nas	Nas	Nas	Nas	Nas
2021	Nas	Nas	Nas	Nas	Nas	Nas	Nas
2022	Nas	Nas	Nas	Nas	Nas	Nas	Nas
2023	Nas	Nas	Nas	Nas	Nas	Nas	Nas

[2019-02-09 8:41:10 AM] - TRADE : From Predators to Canucks : Ryan Hartman (65), Sonny Milano (62), William Bitten (P).
[2019-02-09 8:41:10 AM] - TRADE : From Canucks to Predators : Tyler Johnson (71).
[2018-07-23 8:48:56 PM] - Matt Cullen signed with Predators for $900,000 for 1 year(s) with $0 in bonus.
[2018-07-23 8:48:56 PM] - Matt Cullen was added to Predators.
[2018-07-23 8:48:48 PM] - Darren Raddysh signed with Predators for $900,000 for 4 year(s) with $0 in bonus.
[2018-07-23 8:48:48 PM] - Darren Raddysh was added to Predators.
[2018-07-23 8:48:39 PM] - Brennan Menell signed with Predators for $750,000 for 3 year(s) with $0 in bonus.
[2018-07-23 8:48:39 PM] - Brennan Menell was added to Predators.
[2018-07-05 9:29:19 PM] - Predators drafts Hunter Drew as the #175 overall pick in the Entry Draft of year 2018.
[2018-07-05 9:00:39 PM] - Predators drafts John St. Ivany as the #113 overall pick in the Entry Draft of year 2018.
[2018-07-05 8:47:56 PM] - Predators drafts Joey Keane as the #85 overall pick in the Entry Draft of year 2018.
[2018-06-28 9:46:26 PM] - Predators drafts Jonatan Berggren as the #34 overall pick in the Entry Draft of year 2018.
[2018-06-28 9:20:52 PM] - Predators drafts Nicolas Beaudin as the #26 overall pick in the Entry Draft of year 2018.
[2018-06-28 9:14:49 PM] - Predators drafts Grigori Denisenko as the #20 overall pick in the Entry Draft of year 2018.

[2019-02-21 9:10:11 AM] Predators lines for next game are empty. Current rosters/lines are not erased.
[2019-02-21 9:10:03 AM] Auto Lines Function has been run for Predators.
[2019-02-21 9:10:03 AM] Auto Roster Partial Function has been run for Predators.
[2019-02-19 6:57:11 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-19 6:57:08 AM] Game 923 - Robert Hagg from Predators is injured (Bruised Right Leg) and is out for 2 weeks.
[2019-02-18 9:45:06 AM] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-16 8:26:04 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-16 8:26:03 AM] Martin Frk from Admirals has scored a Hat Trick!
[2019-02-16 8:26:03 AM] Daniel Carr from Admirals has scored a Hat Trick!
[2019-02-14 9:00:04 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-12 8:28:28 AM] Predators lines for next game are empty. Current rosters/lines are not erased.
[2019-02-10 9:06:39 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-10 9:06:39 AM] Daniel Carr from Admirals has scored a Hat Trick!
[2019-02-09 8:42:28 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-09 8:42:27 AM] Daniel Carr from Admirals has scored a Hat Trick!
[2019-02-09 8:42:16 AM] Auto Lines Function has been run for Predators.
[2019-02-09 8:42:16 AM] Auto Roster Partial Function has been run for Predators.
[2019-02-09 8:41:10 AM] TRADE : From Predators to Canucks : Ryan Hartman (65), Sonny Milano (62), William Bitten (P).
[2019-02-09 8:41:10 AM] TRADE : From Canucks to Predators : Tyler Johnson (71).
[2019-02-07 6:59:44 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-06 7:47:03 AM] Last 30 Days Pro Star : 1 - Pekka Rinne of Hurricanes (0.941) / 2 - Patrick Kane of Predators (13-6-19) / 3 - Tomas Hertl of Stars (9-9-18)
[2019-02-05 8:16:10 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-05 8:16:10 AM] Last 7 Days Pro Star : 1 - Tomas Hertl of Stars (4-4-8) / 2 - Patrick Kane of Predators (5-3-8) / 3 - Sergei Bobrovsky of Lightning (0.949)
[2019-02-03 10:09:04 AM] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-02 9:34:31 AM] Predators lines for next game are empty. Current rosters/lines are not erased.
[2019-02-01 7:22:29 AM] Andrew Miller from Admirals is back from Right Knee Injury.
[2019-02-01 7:22:29 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-02-01 7:22:26 AM] Patrick Kane from Predators has scored a Hat Trick!
[2019-01-31 7:57:16 AM] $50,000,000 was added to Predators bank account.
[2019-01-31 7:57:08 AM] Current fund for Predators is under $0.
[2019-01-31 7:56:53 AM] Current fund for Predators is under $0.
[2019-01-31 7:56:21 AM] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-01-29 6:59:15 AM] Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-01-27 9:03:47 AM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-01-27 9:03:45 AM] Game 766 - Andrew Miller from Admirals is injured (Right Knee) and is out for 1 week.
[2019-01-25 2:09:51 PM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-01-25 2:09:48 PM] Ryan Hartman from Admirals has scored a Hat Trick!
[2019-01-23 4:22:47 PM] Both Predators and Admirals lines for next game are empty. Current rosters/lines are not erased.
[2019-01-23 4:22:42 PM] Sonny Milano from Admirals has scored a Hat Trick!
[2019-01-23 4:22:39 PM] Auto Lines Function has been run for Predators.
[2019-01-23 4:22:39 PM] Auto Roster Partial Function has been run for Predators.
[2019-01-22 7:58:06 AM] Curtis McElhinney from Predators is back from Exhaustion.

Robert Hagg is out for 1 week because of a Bruised Right Leg Injury.

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
2018	63	16	24	0	6	3	9	5	165	178	-13	32	6	16	0	1	1	5	3	74	94	-20	31	10	8	0	5	2	4	2	91	84	7	70	165	251	416	3	0	40	51	59	29	1755	515	548	663	87	1932	557	370	1211	147	35	23.81%	164	39	76.22%	2	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	1296	680	1315	608	1254	633
Total Regular Season	63	16	24	0	6	3	9	5	165	178	-13	32	6	16	0	1	1	5	3	74	94	-20	31	10	8	0	5	2	4	2	91	84	7	70	165	251	416	3	0	40	51	59	29	1755	515	548	663	87	1932	557	370	1211	147	35	23.81%	164	39	76.22%	2	602	1252	48.08%	605	1273	47.53%	451	815	55.34%	1296	680	1315	608	1254	633