LHS1 - Schedule Pro Hurricanes

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Anze Kopitar	0	C	99.00	64	35	85	77	88	95	94	76	90	76	72	82	74	90	67	52	50	74	31	10,000,000$/3yrs
Josh Bailey	0	RW	100.00	58	38	77	76	80	86	95	75	79	77	68	65	72	82	65	69	50	70	28	3,300,000$/4yrs
Vincent Trocheck	0	C	100.00	79	35	75	74	68	92	68	73	89	75	68	81	71	65	59	63	50	69	25	4,750,000$/3yrs
Alexander Steen	0	LW	100.00	65	35	79	70	77	84	78	69	63	69	67	81	68	89	62	42	50	68	34	5,750,000$/3yrs
Colin Wilson	0	C	100.00	65	35	75	70	82	82	78	69	68	68	68	66	69	75	58	69	50	66	28	3,938,000$/1yrs
Jesper Bratt	0	LW	100.00	63	35	81	75	65	83	64	74	70	77	67	65	71	55	57	49	50	66	20	825,000$/2yrs
Jake Virtanen	0	RW	100.00	81	35	72	69	83	82	83	68	60	65	69	70	69	58	53	87	50	66	22	1,250,000$/1yrs
Mattias Janmark	0	C	100.00	59	35	76	68	76	83	94	67	63	68	63	73	65	59	53	55	50	65	25	2,300,000$/1yrs
Dmitrij Jaskin	0	RW	100.00	83	35	76	66	84	75	68	65	50	66	62	65	64	62	54	71	50	63	25	1,100,000$/1yrs
Victor Rask	0	C	100.00	65	35	75	65	80	79	62	64	77	64	63	62	64	64	54	71	50	62	25	4,000,000$/4yrs
Ross Johnston	0	LW	100.00	80	80	68	66	96	70	58	65	50	66	63	57	64	52	51	42	50	62	24	1,000,000$/1yrs
Victor Hedman	0	D	100.00	65	35	76	78	97	92	83	77	30	85	68	80	73	78	63	73	50	74	27	7,875,000$/7yrs
Mattias Ekholm	0	D	100.00	65	41	76	73	89	93	93	72	30	78	65	78	69	69	61	50	50	72	28	3,750,000$/4yrs
Jake Muzzin	0	D	100.00	81	41	76	71	86	88	93	70	30	74	65	78	68	71	56	44	50	72	29	4,000,000$/1yrs
Brady Skjei	0	D	100.00	82	35	76	68	86	88	91	67	30	69	65	75	66	60	53	77	50	70	24	5,250,000$/3yrs
John Klingberg	0	D	100.00	63	35	87	77	76	95	77	76	30	82	67	64	72	65	59	49	50	69	26	4,250,000$/4yrs
Jordan Oesterle	0	D	100.00	65	35	79	67	71	83	84	66	30	68	64	75	65	56	52	37	50	66	26	650,000$/1yrs
Oscar Fantenberg	0	D	100.00	73	41	78	62	76	78	74	61	30	61	62	66	62	54	51	36	50	63	26	650,000$/1yrs
Scratches
Taro Hirose	0	LW	100.00	51	35	82	62	62	83	55	62	74	65	60	61	61	50	55	44	50	59	22	925,000$/1yrs
Vitaly Abramov	0	RW	100.00	50	35	64	66	64	50	50	66	50	59	59	50	59	50	50	67	50	55	20	730,833$/3yrs
Dillon Simpson	0	D	100.00	56	89	69	59	81	49	50	59	30	52	52	50	52	50	50	60	50	53	25	675,000$/2yrs

	TEAM AVERAGE		99.95	67	41	76	69	79	81	76	69	53	70	65	69	67	64	56	57	50	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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Marc-Andre Fleury	0	99.00	94	93	92	76	93	92	94	93	92	93	86	99	97	47	50	88	33	5,750,000$/1yrs
Casey DeSmith	0	100.00	90	80	89	71	89	88	90	89	88	89	82	54	72	36	50	81	27	675,000$/1yrs
Scratches
Jonathan Bernier	0	100.00	85	79	88	71	84	83	85	84	83	84	77	74	80	66	50	79	30	3,000,000$/1yrs

	TEAM AVERAGE	99.67	90	84	90	73	89	88	90	89	88	89	82	76	83	50	50	83

Farm

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Scott Laughton	0	C	100.00	76	38	70	69	75	82	95	68	84	68	66	77	67	61	53	79	58	66	24	962,500$/1yrs
Oskar Sundqvist	0	C	100.00	71	35	73	70	85	82	87	69	75	68	68	74	69	56	52	62	58	66	24	675,000$/1yrs
Rudolfs Balcers	0	LW	100.00	55	35	73	69	67	63	68	69	50	67	66	59	67	51	50	56	58	60	21	759,167$/2yrs
Michael McLeod	0	C	100.00	60	47	66	69	78	58	60	68	71	57	56	52	58	51	50	85	58	57	20	863,333$/1yrs
Olli Maatta	0	D	100.00	74	35	79	66	82	82	73	65	30	69	61	78	63	64	54	79	58	66	24	4,083,000$/3yrs
Evan Bouchard	0	D	100.00	60	35	77	57	82	72	53	57	30	56	57	57	57	50	50	88	58	56	18	925,000$/1yrs
Andrej Sustr	0	D	100.00	66	35	69	53	99	51	52	53	30	50	50	50	50	63	54	36	29	53	27	1,300,000$/1yrs
Scratches

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Scratches

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

General Manager
Eric Laperiere

Player Stats

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	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	EG	HT	P/20	PSG
1	Anze Kopitar	Hurricanes	0	C	22	6	13	19	-9	6	0	34	104	29	73	5.77%	14	24.74	3	9	12	59	0	0	0	71	1	2	55.05%	614	22	10	0	0.70	1	2
2	Josh Bailey	Hurricanes	0	RW	22	7	9	16	-9	24	0	28	103	15	51	6.80%	5	21.57	5	6	11	58	0	0	0	63	2	0	58.62%	116	23	14	0	0.67	2	3
3	Victor Hedman	Hurricanes	0	D	22	3	12	15	1	10	0	32	63	20	17	4.76%	29	28.35	3	6	9	61	0	0	0	75	0	0	0.00%	0	21	24	0	0.48	1	1
4	John Klingberg	Hurricanes	0	D	22	3	8	11	-13	0	0	12	29	17	13	10.34%	11	18.99	3	5	8	41	0	0	0	18	0	1	0.00%	0	9	18	0	0.53	0	0
5	Jake Virtanen	Hurricanes	0	RW	22	8	3	11	-5	10	0	25	33	12	27	24.24%	8	16.07	5	3	8	43	0	0	0	0	0	0	29.73%	37	6	4	0	0.62	0	2
6	Alexander Steen	Hurricanes	0	LW	22	5	5	10	-10	14	0	31	61	15	25	8.20%	9	21.65	3	4	7	58	0	0	0	48	1	0	46.34%	41	2	5	0	0.42	0	1
7	Dmitrij Jaskin	Hurricanes	0	RW	22	1	9	10	-6	2	0	15	18	6	15	5.56%	7	11.75	0	9	9	42	0	0	0	0	0	0	23.08%	39	5	2	0	0.77	0	1
8	Colin Wilson	Hurricanes	0	C	22	4	3	7	0	11	5	19	39	12	22	10.26%	11	13.19	1	0	1	0	1	0	1	34	1	0	37.50%	112	7	8	0	0.48	0	0
9	Mattias Ekholm	Hurricanes	0	D	22	1	6	7	-13	18	0	21	24	10	13	4.17%	24	20.29	1	3	4	41	0	1	1	46	0	0	0.00%	0	4	14	0	0.31	0	0
10	Mattias Janmark	Hurricanes	0	C	22	3	4	7	-1	10	0	15	29	8	25	10.34%	9	12.10	2	1	3	42	0	1	1	25	0	0	52.75%	91	5	7	0	0.53	0	0
11	Jake Muzzin	Hurricanes	0	D	22	3	4	7	1	18	0	39	36	10	12	8.33%	37	28.21	3	3	6	61	0	0	0	73	0	0	0.00%	0	7	29	0	0.23	0	0
12	Jesper Bratt	Hurricanes	0	LW	22	1	3	4	-5	2	0	22	49	22	39	2.04%	7	15.09	0	0	0	0	0	0	0	2	0	0	50.00%	14	19	3	0	0.24	0	0
13	Vincent Trocheck	Hurricanes	0	C	22	0	3	3	-5	6	0	35	48	11	31	0.00%	9	15.47	0	0	0	0	0	0	0	9	0	0	49.20%	250	13	13	0	0.18	0	1
14	Ross Johnston	Hurricanes	0	LW	22	2	0	2	-3	26	10	28	12	2	9	16.67%	3	14.03	0	0	0	1	0	0	0	12	1	0	15.38%	13	4	3	0	0.13	0	0
15	Vitaly Abramov	Hurricanes	0	RW	17	2	0	2	1	2	0	2	5	4	5	40.00%	2	4.19	0	0	0	0	0	0	0	0	2	0	33.33%	3	0	2	0	0.56	0	0
16	Brady Skjei	Hurricanes	0	D	22	0	1	1	-4	8	0	17	15	7	5	0.00%	18	14.32	0	0	0	0	0	0	0	51	0	0	0.00%	0	4	11	0	0.06	0	0
17	Taro Hirose	Hurricanes	0	LW	17	0	1	1	0	2	0	3	4	4	2	0.00%	1	6.61	0	0	0	0	0	0	0	0	0	0	33.33%	21	0	1	0	0.18	0	0
18	Jordan Oesterle	Hurricanes	0	D	22	0	0	0	-5	2	0	9	9	2	5	0.00%	20	11.69	0	0	0	0	0	0	0	1	0	0	0.00%	0	2	6	0	0.00	0	0
19	Victor Rask	Hurricanes	0	C	5	0	0	0	1	2	0	1	0	1	0	0.00%	2	5.76	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0.00	0	0
20	Oscar Fantenberg	Hurricanes	0	D	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
Team Total or Average				396	49	84	133	-84	173	15	388	681	207	389	7.20%	226	16.51	29	49	78	514	1	2	3	534	8	3	50.00%	1352	153	175	0	0.41	4	11

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	Marc-Andre Fleury	Hurricanes	13	6	4	2	0.938	1.86	742	0	1	23	369	156	1	1	0.625	8	12	10	5	0	0
2	Jonathan Bernier	Hurricanes	9	4	4	1	0.922	2.44	517	0	1	21	268	135	1	0	1.000	3	9	8	2	0	2
3	Casey DeSmith	Hurricanes	2	0	1	0	0.914	2.40	75	0	0	3	35	20	0	0	0.000	0	1	4	0	0	0
Team Total or Average		24	10	9	3	0.930	2.11	1335	0	2	47	672	311	2	1	0.727	11	22	22	7	0	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

#	VS Team	GP	W	L	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	GF%	SH%	SV%	PDO	PDOBRK
1	Ducks	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	1	1	0	28	7	16	5	0	31	9	4	21	1	0	0.00%	2	1	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	12	21	9	17	8	40.0%	7.1%	87.1%	94.2	Unlucky
2	Canadiens	1	1	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	1	0	2	0	22	10	5	7	0	24	9	8	19	4	2	50.00%	4	1	75.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	20	9	19	10	19	9	100.0%	13.6%	95.8%	109.5	LUCKY
3	Rangers	1	0	0	0	1	0	2	1	1	2	1.000	2	1	3	0	0	0	1	0	2	30	8	10	11	6	39	9	10	18	3	1	33.33%	5	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	10	24	10	19	8	50.0%	6.7%	97.4%	104.1	DULL
4	Red Wings	1	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	0	1	1	0	44	11	13	18	2	31	16	2	18	2	0	0.00%	1	0	100.00%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	25	15	19	8	17	8	40.0%	4.5%	90.3%	94.9	Unlucky
5	Capitals	1	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	0	1	1	1	35	5	17	11	5	37	4	6	13	4	2	50.00%	3	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	23	12	21	10	20	10	33.3%	8.6%	94.6%	103.2	DULL
6	Devils	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	2	1	1	0	38	21	9	8	0	31	14	4	15	2	1	50.00%	2	1	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	25	16	18	7	16	8	60.0%	10.5%	90.3%	100.8	FUN
7	Blackhawks	2	1	1	0	0	0	3	3	0	2	0.500	3	5	8	0	0	1	2	0	0	64	25	25	14	0	60	24	12	37	6	1	16.67%	6	1	83.33%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	43	24	41	18	35	17	50.0%	4.7%	95.0%	99.7	DULL
8	Flames	1	1	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	0	1	2	0	31	7	9	15	0	27	9	13	19	4	1	25.00%	4	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	12	20	9	17	9	50.0%	9.7%	92.6%	102.3	LUCKY
9	Sabres	1	0	1	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	1	1	1	0	35	13	5	17	0	19	5	10	26	3	1	33.33%	5	1	80.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	22	12	18	9	19	9	40.0%	8.6%	78.9%	87.5	Unlucky
10	Kings	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	1	1	0	23	3	11	9	0	36	10	8	18	1	1	100.00%	4	1	75.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	18	9	24	8	16	7	33.3%	8.7%	91.7%	100.4	DULL
11	Flyers	2	0	1	0	0	1	3	6	-3	1	0.250	3	5	8	1	0	2	0	1	1	54	24	6	17	10	71	20	14	27	7	2	28.57%	7	1	85.71%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	42	23	45	19	37	17	16.7%	5.6%	91.5%	97.1	DULL
12	Lightning	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	1	3	0	0	30	10	13	7	0	37	11	17	17	7	4	57.14%	6	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	19	10	23	9	16	8	0.0%	13.3%	94.6%	107.9	LUCKY
13	Senators	2	0	2	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	0	1	2	0	50	11	24	15	0	67	35	20	27	5	3	60.00%	10	1	90.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	37	18	49	18	33	16	0.0%	6.0%	92.5%	98.5	DULL
14	Sharks	1	0	1	0	0	0	3	4	-1	0	0.000	3	4	7	0	0	1	1	1	0	38	10	10	18	0	30	4	8	18	4	2	50.00%	4	2	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	24	15	18	8	16	8	33.3%	7.9%	86.7%	94.6	Unlucky
15	Islanders	1	0	1	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	1	0	0	30	10	10	10	0	31	9	6	21	4	1	25.00%	3	1	66.67%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	22	12	20	9	17	8	0.0%	3.3%	93.5%	96.9	DULL
16	Blue Jackets	2	2	0	0	0	0	5	0	5	4	1.000	5	7	12	0	2	1	3	1	0	72	19	32	21	0	43	12	19	36	12	5	41.67%	7	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	46	26	37	19	35	17	nan%	6.9%	100.0%	106.9	DULL
17	Panthers	1	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	0	0	2	0	28	8	6	14	0	29	16	10	18	2	1	50.00%	5	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	17	9	26	9	17	7	25.0%	7.1%	89.7%	96.8	Unlucky
18	Wild	1	1	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	0	2	1	0	29	7	10	12	0	30	10	2	20	3	1	33.33%	1	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	19	10	22	8	18	9	66.7%	10.3%	96.7%	107.0	LUCKY
	_Vs Division	8	3	2	0	2	1	18	14	4	11	0.688	18	27	45	1	2	5	7	4	4	259	87	84	78	21	252	68	59	130	32	12	37.50%	27	3	88.89%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	180	101	168	76	146	72	35.3%	6.9%	94.4%	101.4	DULL
	_Vs Conference	15	5	5	2	2	1	35	32	3	17	0.567	35	56	91	1	2	8	13	12	4	468	150	150	156	23	459	160	126	255	55	23	41.82%	58	6	89.66%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	323	177	325	142	270	132	31.6%	7.5%	93.0%	100.5	DULL
	_Since Last GM Reset	22	8	9	2	2	1	51	49	2	23	0.523	51	84	135	1	2	10	21	18	4	681	209	231	229	23	673	226	173	388	74	29	39.19%	79	11	86.08%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	472	263	474	204	392	193	36.7%	7.5%	92.7%	100.2	DULL
	Total	22	8	9	2	2	1	51	49	2	23	0.523	51	84	135	1	2	10	21	18	4	681	209	231	229	23	673	226	173	388	74	29	39.19%	79	11	86.08%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	472	263	474	204	392	193	36.7%	7.5%	92.7%	100.2	DULL

	Puck Time
Offensive Zone	21
Neutral Zone	17
Defensive Zone	21

	Puck Time
Offensive Zone Start	529
Neutral Zone Start	321
Defensive Zone Start	502

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	676
Faceoffs Lost	676

	Team Average Shots after	League Average Shots after
1st Period	9.5	9.57
2nd Period	20.0	20.31
3rd Period	30.4	30.68
Overtime	31.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.4	1.65
3rd Period	2.2	2.67
Overtime	2.4	2.83


Even Strenght Goal	20
PP Goal	29
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	7	3
Lost	3	6
Overtime Lost	1	2


PP Attempt	74
PP Goal	29
PK Attempt	79
PK Goal Against	11

	Home
Shots For	31.0
Shots Against	30.6
Goals For	2.3
Goals Against	2.2
Hits	17.6
Shots Blocked	10.3
Pim	7.9

Cap Hit


	Projected Total Cap Hit	76,393,833$
	Projected Cap Space	3,106,167$
	Retains And Buyout Cap Hit	0$
	Salary Cap To Date	21,357,440$
	Players In Salary Cap	24
	LTIR Players	0

Hurricanes Roster	Pos	Age	Cap Hit	2019-20	2020-21	2021-22	2022-23	2023-24	2024-25	2025-26
Alexander Steen	LW	34	5,750,000$	5,750,000$	5,750,000$	5,750,000$
Anze Kopitar	C	31	10,000,000$	10,000,000$	10,000,000$	10,000,000$
Brady Skjei	D	24	5,250,000$	5,250,000$	5,250,000$	5,250,000$
Casey DeSmith	G	27	675,000$	675,000$
Colin Wilson	C	28	3,938,000$	3,938,000$
Dillon Simpson	D	25	675,000$	675,000$	675,000$
Dmitrij Jaskin	RW	25	1,100,000$	1,100,000$
Jake Muzzin	D	29	4,000,000$	4,000,000$
Jake Virtanen	RW	22	1,250,000$	1,250,000$
Jesper Bratt	LW	20	825,000$	825,000$	825,000$
John Klingberg	D	26	4,250,000$	4,250,000$	4,250,000$	4,250,000$	4,250,000$
Jonathan Bernier	G	30	3,000,000$	3,000,000$
Jordan Oesterle	D	26	650,000$	650,000$
Josh Bailey	RW	28	3,300,000$	3,300,000$	3,300,000$	3,300,000$	3,300,000$
Marc-Andre Fleury	G	33	5,750,000$	5,750,000$
Mattias Ekholm	D	28	3,750,000$	3,750,000$	3,750,000$	3,750,000$	3,750,000$
Mattias Janmark	C	25	2,300,000$	2,300,000$
Oscar Fantenberg	D	26	650,000$	650,000$
Ross Johnston	LW	24	1,000,000$	1,000,000$
Taro Hirose	LW	22	925,000$	925,000$
Victor Hedman	D	27	7,875,000$	7,875,000$	7,875,000$	7,875,000$	7,875,000$	7,875,000$	7,875,000$	7,875,000$
Victor Rask	C	25	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$
Vincent Trocheck	C	25	4,750,000$	4,750,000$	4,750,000$	4,750,000$
Vitaly Abramov	RW	20	730,833$	730,833$	730,833$	730,833$

Lines

Forward Lines
#0 - Alexander Steen	#0 - Anze Kopitar	#0 - Josh Bailey
#0 - Jesper Bratt	#0 - Vincent Trocheck	#0 - Jake Virtanen
#0 - Ross Johnston	#0 - Colin Wilson	#0 - Dmitrij Jaskin
#0 - Victor Rask	#0 - Mattias Janmark	#0 - Anze Kopitar

Defensive Pairings
#0 - Victor Hedman	#0 - Jake Muzzin
#0 - Mattias Ekholm	#0 - John Klingberg
#0 - Jordan Oesterle	#0 - Brady Skjei

1st Power Play Unit
#0 - Alexander Steen		#0 - Anze Kopitar		#0 - Josh Bailey
#0 - Victor Hedman			#0 - Jake Muzzin

2nd Power Play Unit
#0 - Mattias Janmark		#0 - Dmitrij Jaskin		#0 - Jake Virtanen
#0 - Mattias Ekholm			#0 - John Klingberg

Goalies

Team Stats

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

#	VS Team	GP	W	L	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	GF%	SH%	SV%	PDO	PDOBRK
1	Ducks	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	1	1	0	28	7	16	5	0	31	9	4	21	1	0	0.00%	2	1	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	12	21	9	17	8	40.0%	7.1%	87.1%	94.2	Unlucky
2	Canadiens	1	1	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	1	0	2	0	22	10	5	7	0	24	9	8	19	4	2	50.00%	4	1	75.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	20	9	19	10	19	9	100.0%	13.6%	95.8%	109.5	LUCKY
3	Rangers	1	0	0	0	1	0	2	1	1	2	1.000	2	1	3	0	0	0	1	0	2	30	8	10	11	6	39	9	10	18	3	1	33.33%	5	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	10	24	10	19	8	50.0%	6.7%	97.4%	104.1	DULL
4	Red Wings	1	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	0	1	1	0	44	11	13	18	2	31	16	2	18	2	0	0.00%	1	0	100.00%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	25	15	19	8	17	8	40.0%	4.5%	90.3%	94.9	Unlucky
5	Capitals	1	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	0	1	1	1	35	5	17	11	5	37	4	6	13	4	2	50.00%	3	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	23	12	21	10	20	10	33.3%	8.6%	94.6%	103.2	DULL
6	Devils	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	2	1	1	0	38	21	9	8	0	31	14	4	15	2	1	50.00%	2	1	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	25	16	18	7	16	8	60.0%	10.5%	90.3%	100.8	FUN
7	Blackhawks	2	1	1	0	0	0	3	3	0	2	0.500	3	5	8	0	0	1	2	0	0	64	25	25	14	0	60	24	12	37	6	1	16.67%	6	1	83.33%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	43	24	41	18	35	17	50.0%	4.7%	95.0%	99.7	DULL
8	Flames	1	1	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	0	1	2	0	31	7	9	15	0	27	9	13	19	4	1	25.00%	4	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	21	12	20	9	17	9	50.0%	9.7%	92.6%	102.3	LUCKY
9	Sabres	1	0	1	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	1	1	1	0	35	13	5	17	0	19	5	10	26	3	1	33.33%	5	1	80.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	22	12	18	9	19	9	40.0%	8.6%	78.9%	87.5	Unlucky
10	Kings	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	1	1	0	23	3	11	9	0	36	10	8	18	1	1	100.00%	4	1	75.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	18	9	24	8	16	7	33.3%	8.7%	91.7%	100.4	DULL
11	Flyers	2	0	1	0	0	1	3	6	-3	1	0.250	3	5	8	1	0	2	0	1	1	54	24	6	17	10	71	20	14	27	7	2	28.57%	7	1	85.71%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	42	23	45	19	37	17	16.7%	5.6%	91.5%	97.1	DULL
12	Lightning	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	1	3	0	0	30	10	13	7	0	37	11	17	17	7	4	57.14%	6	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	19	10	23	9	16	8	0.0%	13.3%	94.6%	107.9	LUCKY
13	Senators	2	0	2	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	0	1	2	0	50	11	24	15	0	67	35	20	27	5	3	60.00%	10	1	90.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	37	18	49	18	33	16	0.0%	6.0%	92.5%	98.5	DULL
14	Sharks	1	0	1	0	0	0	3	4	-1	0	0.000	3	4	7	0	0	1	1	1	0	38	10	10	18	0	30	4	8	18	4	2	50.00%	4	2	50.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	24	15	18	8	16	8	33.3%	7.9%	86.7%	94.6	Unlucky
15	Islanders	1	0	1	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	1	0	0	30	10	10	10	0	31	9	6	21	4	1	25.00%	3	1	66.67%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	22	12	20	9	17	8	0.0%	3.3%	93.5%	96.9	DULL
16	Blue Jackets	2	2	0	0	0	0	5	0	5	4	1.000	5	7	12	0	2	1	3	1	0	72	19	32	21	0	43	12	19	36	12	5	41.67%	7	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	46	26	37	19	35	17	nan%	6.9%	100.0%	106.9	DULL
17	Panthers	1	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	0	0	2	0	28	8	6	14	0	29	16	10	18	2	1	50.00%	5	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	17	9	26	9	17	7	25.0%	7.1%	89.7%	96.8	Unlucky
18	Wild	1	1	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	0	2	1	0	29	7	10	12	0	30	10	2	20	3	1	33.33%	1	0	100.00%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	19	10	22	8	18	9	66.7%	10.3%	96.7%	107.0	LUCKY
	_Vs Division	8	3	2	0	2	1	18	14	4	11	0.688	18	27	45	1	2	5	7	4	4	259	87	84	78	21	252	68	59	130	32	12	37.50%	27	3	88.89%	0	267	529	50.47%	262	502	52.19%	147	321	45.79%	180	101	168	76	146	72	35.3%	6.9%	94.4%	101.4	DULL
	_Vs Conference	15	5	5	2	2	1	35	32	3	17	0.567	35	56	91	1	2	8	13	12	4	468	150	150	156	23	459	160	126	255	55	23	41.82%	58	6	89.66%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	323	177	325	142	270	132	31.6%	7.5%	93.0%	100.5	DULL
	_Since Last GM Reset	22	8	9	2	2	1	51	49	2	23	0.523	51	84	135	1	2	10	21	18	4	681	209	231	229	23	673	226	173	388	74	29	39.19%	79	11	86.08%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	472	263	474	204	392	193	36.7%	7.5%	92.7%	100.2	DULL
	Total	22	8	9	2	2	1	51	49	2	23	0.523	51	84	135	1	2	10	21	18	4	681	209	231	229	23	673	226	173	388	74	29	39.19%	79	11	86.08%	1	267	529	50.47%	262	502	52.19%	147	321	45.79%	472	263	474	204	392	193	36.7%	7.5%	92.7%	100.2	DULL

	Puck Time
Offensive Zone	21
Neutral Zone	17
Defensive Zone	21

	Puck Time
Offensive Zone Start	529
Neutral Zone Start	321
Defensive Zone Start	502

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	676
Faceoffs Lost	676

	Team Average Shots after	League Average Shots after
1st Period	9.5	9.57
2nd Period	20.0	20.31
3rd Period	30.4	30.68
Overtime	31.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.4	1.65
3rd Period	2.2	2.67
Overtime	2.4	2.83


Even Strenght Goal	20
PP Goal	29
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	7	3
Lost	3	6
Overtime Lost	1	2


PP Attempt	74
PP Goal	29
PK Attempt	79
PK Goal Against	11

	Home
Shots For	31.0
Shots Against	30.6
Goals For	2.3
Goals Against	2.2
Hits	17.6
Shots Blocked	10.3
Pim	7.9

Schedule

Date	Matchup			Result	Detail
2019-10-04	Canadiens	@	Hurricanes	Canadiens1,Hurricanes3	RECAP
2019-10-06	Hurricanes	@	Capitals	Hurricanes3,Capitals2 (SO)	RECAP
2019-10-07	Lightning	@	Hurricanes	Lightning2,Hurricanes4	RECAP
2019-10-09	Hurricanes	@	Panthers	Hurricanes2,Panthers3 (OT)	RECAP
2019-10-12	Islanders	@	Hurricanes	Islanders2,Hurricanes1	RECAP
2019-10-13	Blue Jackets	@	Hurricanes	Blue Jackets0,Hurricanes3	RECAP
2019-10-16	Hurricanes	@	Kings	Hurricanes2,Kings3	RECAP
2019-10-17	Hurricanes	@	Sharks	Hurricanes3,Sharks4	RECAP
2019-10-19	Hurricanes	@	Ducks	Hurricanes2,Ducks4	RECAP
2019-10-25	Hurricanes	@	Blue Jackets	Hurricanes2,Blue Jackets0	RECAP
2019-10-27	Blackhawks	@	Hurricanes	Blackhawks1,Hurricanes2	RECAP
2019-10-30	Flames	@	Hurricanes	Flames2,Hurricanes3	RECAP
2019-11-02	Red Wings	@	Hurricanes	Red Wings3,Hurricanes2 (OT)	RECAP
2019-11-03	Devils	@	Hurricanes	Devils3,Hurricanes4	RECAP
2019-11-06	Hurricanes	@	Flyers	Hurricanes1,Flyers2 (SO)	RECAP
2019-11-08	Rangers	@	Hurricanes	Rangers1,Hurricanes2 (SO)	RECAP
2019-11-10	Hurricanes	@	Senators	Hurricanes1,Senators2	RECAP
2019-11-12	Senators	@	Hurricanes	Senators3,Hurricanes2	RECAP
2019-11-15	Hurricanes	@	Sabres	Hurricanes3,Sabres4	RECAP
2019-11-17	Hurricanes	@	Wild	Hurricanes3,Wild1	RECAP
2019-11-20	Hurricanes	@	Blackhawks	Hurricanes1,Blackhawks2	RECAP
2019-11-22	Flyers	@	Hurricanes	Flyers4,Hurricanes2	RECAP
2019-11-24	Panthers	@	Hurricanes
2019-11-25	Hurricanes	@	Red Wings
2019-11-28	Hurricanes	@	Rangers
2019-11-30	Predators	@	Hurricanes
2019-12-01	Hurricanes	@	Lightning
2019-12-04	Hurricanes	@	Bruins
2019-12-06	Sharks	@	Hurricanes
2019-12-08	Wild	@	Hurricanes
2019-12-11	Hurricanes	@	Oilers
2019-12-13	Hurricanes	@	Canucks
2019-12-15	Hurricanes	@	Flames
2019-12-18	Hurricanes	@	Jets
2019-12-20	Hurricanes	@	Avalanche
2019-12-22	Panthers	@	Hurricanes
2019-12-24	Hurricanes	@	Maple Leafs
2019-12-28	Hurricanes	@	Rangers
2019-12-29	Capitals	@	Hurricanes
2020-01-01	Canadiens	@	Hurricanes
2020-01-04	Capitals	@	Hurricanes
2020-01-06	Lightning	@	Hurricanes
2020-01-08	Flyers	@	Hurricanes
2020-01-11	Coyotes	@	Hurricanes
2020-01-12	Kings	@	Hurricanes
2020-01-14	Hurricanes	@	Capitals
2020-01-17	Hurricanes	@	Blue Jackets
2020-01-18	Ducks	@	Hurricanes
2020-01-20	Islanders	@	Hurricanes
2020-01-22	Jets	@	Hurricanes
2020-02-01	Golden Knights	@	Hurricanes
2020-02-03	Canucks	@	Hurricanes
2020-02-05	Hurricanes	@	Blues
2020-02-07	Hurricanes	@	Coyotes
2020-02-09	Hurricanes	@	Golden Knights
2020-02-12	Hurricanes	@	Stars
2020-02-15	Devils	@	Hurricanes
2020-02-17	Oilers	@	Hurricanes
2020-02-19	Hurricanes	@	Predators
2020-02-22	Rangers	@	Hurricanes
2020-02-23	Hurricanes	@	Maple Leafs
2020-02-26	Stars	@	Hurricanes
2020-02-29	Avalanche	@	Hurricanes
2020-03-01	Hurricanes	@	Canadiens
2020-03-06	Hurricanes	@	Flyers
2020-03-08	Hurricanes	@	Islanders
2020-03-09	Hurricanes	@	Penguins
2020-03-11	Hurricanes	@	Red Wings
2020-03-13	Hurricanes	@	Devils
2020-03-15	Penguins	@	Hurricanes
2020-03-16	Hurricanes	@	Sabres
2020-03-18	Sabres	@	Hurricanes
2020-03-20	Blues	@	Hurricanes
2020-03-22	Senators	@	Hurricanes
2020-03-23	Hurricanes	@	Islanders
2020-03-25	Hurricanes	@	Penguins
2020-03-27	Maple Leafs	@	Hurricanes
2020-03-29	Penguins	@	Hurricanes
2020-03-30	Hurricanes	@	Devils
2020-04-01	Bruins	@	Hurricanes
2020-04-04	Blue Jackets	@	Hurricanes
2020-04-05	Hurricanes	@	Bruins

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
76,393,833$	0$	76,393,833$	3,106,167$

Arena	Goal Horn	About us
		Name	RBC Center
		City	Caroline
		Capacity	18000
		Season Ticket Holders	40%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100$	60$	35$	20$	200$
Attendance	62873	52167	20598	42798	10814
Attendance PCT	95.26%	94.85%	93.63%	97.27%	98.31%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
30	17205 - 95.58%	610,007$	6,710,076$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
76,393,833$	76,393,833$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
21,357,440$	76,393,833$	21,357,440$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
18,300,207$	134	410,720$	55,036,480$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
61,609,683$	76,393,833$	-333,813,969$	-377,123,445$

Depth Chart

Star Player

Franchise Player

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Alexander Steen	AGE:34	CAN
Ross Johnston	AGE:24	CAN
Taro Hirose	AGE:22	CAN
Jesper Bratt	AGE:20	SWE
Rudolfs Balcers	AGE:21	LVA

Anze Kopitar	AGE:31	SVN
Vincent Trocheck	AGE:25	USA
Victor Rask	AGE:25	SWE
Colin Wilson	AGE:28	USA
Mattias Janmark	AGE:25	SWE
Scott Laughton	AGE:24	CAN
Michael McLeod	AGE:20	CAN
Oskar Sundqvist	AGE:24	SWE

Josh Bailey	AGE:28	CAN
Jake Virtanen	AGE:22	CAN
Dmitrij Jaskin	AGE:25	RUS
Vitaly Abramov	AGE:20	RUS

Defense #1

Defense #2

Goalie

Victor Hedman	AGE:27	SWE
Brady Skjei	AGE:24	USA
John Klingberg	AGE:26	SWE
Olli Maatta	AGE:24	FIN
Jake Muzzin	AGE:29	CAN
Mattias Ekholm	AGE:28	SWE

Andrej Sustr	AGE:27	CZE
Evan Bouchard	AGE:18	CAN
Dillon Simpson	AGE:25	CAN
Jordan Oesterle	AGE:26	USA
Oscar Fantenberg	AGE:26	SWE

Marc-Andre Fleury	AGE:33	CAN
Jonathan Bernier	AGE:30	CAN
Anthony Stolarz	AGE:24	USA
Casey DeSmith	AGE:27	USA

Draft Picks

Year	Ronde 1	Ronde 2	Ronde 3	Ronde 4	Ronde 5	Ronde 6	Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded

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
1 ballo arz 2020	Hurricanes
1 ballo car 2020	Hurricanes
2 ballo car 2020	Hurricanes
Aidan Dudas	Hurricanes	2018	113
Alec Regula	Hurricanes	2018	65
Anthony Romano	Hurricanes	2019	189
Anton Andersson	Hurricanes	2017	184
Braydyn Chizen	Hurricanes
Brett Bulmer	Hurricanes
Brett Murray	Hurricanes
Brian Ferlin	Hurricanes
Cameron Darcy	Hurricanes
Cole Ully	Hurricanes
Connor Dewar	Hurricanes	2018	103
Dillon Hamaliuk	Hurricanes	2019	65
Dylan Mcllrath	Hurricanes
Eemeli Rasanen	Hurricanes	2017	34
Evan Smith	Hurricanes
Fedor Tyutin	Hurricanes
Henri Nikkanen	Hurricanes	2019	127
Henry Rybinski	Hurricanes	2019	151
Hugo Fagerblom	Hurricanes
Jacob Jackson	Hurricanes
Jake Kupsky	Hurricanes
James Greenway	Hurricanes
Jarred Tinordi	Hurricanes
Jarret Tyszka	Hurricanes	2017	124
Jason Kasdorf	Hurricanes
Jiri Patera	Hurricanes	2017	154
Joey Dudek	Hurricanes
Jordan Kooy	Hurricanes	2018	196
Judd Peterson	Hurricanes
Karel Vejmelka	Hurricanes
Keith Petruzzelli	Hurricanes	2017	46
Kevin Mandolese	Hurricanes	2018	144
Liam Foudy	Hurricanes	2018	36
Logan Nelson	Hurricanes
Mac Hollowell	Hurricanes	2018	114
Markus Nurmi	Hurricanes
Mat Clark	Hurricanes
Matthew Highmore	Hurricanes
Matthew Stienburg	Hurricanes	2019	88
Matthew Strome	Hurricanes	2017	64
Maxim Letunov	Hurricanes
Michael McCarron	Hurricanes
Michael Prapavessis	Hurricanes
Nicolas Mattinen	Hurricanes
Nikita Pavlychev	Hurricanes
Nikita Tryamkin	Hurricanes
Nikolaj Krag Christensen	Hurricanes
Pavel Kravkovshy	Hurricanes
Philippe Desrosiers	Hurricanes
Pierre Engvall	Hurricanes
Quentin Shore	Hurricanes
Ryan McLeod	Hurricanes	2018	41
Samuel Houde	Hurricanes	2018	134
Sasha Mutala	Hurricanes	2019	158
Shane Pinto	Hurricanes	2019	34
Todd Burgess	Hurricanes
Vitali Abramov	Hurricanes
Yakov Trenin	Hurricanes
Zachary Emond	Hurricanes	2018	165

News

New Record for Team's Most Shots Blocked (23) in 1 Game for Hurricanes!

Hurricanes drafts Anthony Romano as the #189 overall pick in the Entry Draft of year 2019.

Hurricanes drafts Sasha Mutala as the #158 overall pick in the Entry Draft of year 2019.

Hurricanes drafts Henry Rybinski as the #151 overall pick in the Entry Draft of year 2019.

2 ballo car 2020 has been added to Hurricanes.

1 ballo car 2020 has been added to Hurricanes.

Hurricanes drafts Henri Nikkanen as the #127 overall pick in the Entry Draft of year 2019.

TRADE : From Hurricanes to Coyotes : Pheonix Copley (78).

TRADE : From Coyotes to Hurricanes : Y:2020-RND:4-ARI.

Michael McCarron has been added to Hurricanes.

Matthew Highmore has been added to Hurricanes.

Michael McCarron retired from Hurricanes

Matthew Highmore retired from Hurricanes

Hurricanes drafts Matthew Stienburg as the #88 overall pick in the Entry Draft of year 2019.

Hurricanes drafts Dillon Hamaliuk as the #65 overall pick in the Entry Draft of year 2019.

TRADE : From Sharks to Hurricanes : Y:2010-RND:0-.

TRADE : From Hurricanes to Sharks : 2 ballo car 2019 (P).

Hurricanes drafts Shane Pinto as the #34 overall pick in the Entry Draft of year 2019.

TRADE : From Sharks to Hurricanes : Y:2022-RND:6-SJS.

TRADE : From Hurricanes to Sharks : 2 ballo car 2019 (P).

TRADE : From Canadiens to Hurricanes : 1 ballo mtl 2018 (P), Alec Regula (P).

TRADE : From Hurricanes to Canadiens : 1 ballo cal 2019 (P).

TRADE : From Hurricanes to Blue Jackets : 1 ballo car 2019 (P).

TRADE : From Blue Jackets to Hurricanes : Oscar Fantenberg (63), 1 ballo cal 2019 (P), Y:2020-RND:3-CBJ.

Team Name Change : Caroline Hurricanes changed name to Hurricanes

TRADE : From New York Islanders to Caroline Hurricanes : Rudolfs Balcers (P), Y:2019-RND:5-NYI.

TRADE : From Caroline Hurricanes to New York Islanders : Richard Panik (68).

TRADE : From Columbus Blue Jackets to Caroline Hurricanes : Vincent Trocheck (70), Jesper Bratt (66), Evan Bouchard (P), Vitali Abramov (P), Y:2020-RND:2-TBL.

Injuries

No Injury or Suspension.

Game Center

Hurricanes10-9-3, 23pts

12Final

Blackhawks10-9-3, 23pts

Flyers12-7-3, 27pts

42Final

Hurricanes10-9-3, 23pts

Panthers10-11-1, 21pts

Sun, Nov 24RBC Center

Hurricanes10-9-3, 23pts

Mon, Nov 25Joe louis Arena

Red Wings10-10-4, 24pts

Hurricanes10-9-3, 23pts

Thu, Nov 28Madison Square Garden

Rangers12-5-3, 27pts

Team Leaders

	GOALS Jake Virtanen 8			ASSISTS Anze Kopitar 13
	POINTS Anze Kopitar 19			PLUS/MINUS Jake Muzzin 1
	WINS Marc-Andre Fleury 6			SV% Marc-Andre Fleury 0.938

Team Stats

Goals For 51 2.32 GFG	Shots For 681 30.95 Avg	Power Play Percentage 39.2% 29 GF	Offensive Zone Start 51.3%
Goals Against 49 2.23 GAA	Shots Against 673 30.59 Avg	Penalty Kill Percentage 86.1% 11 GA	Defensive Zone Start 48.7%

Team Info


	General Manager	Eric Laperiere
	Head Coach
	Conference	Conference Est
	Division	Metropolitain

Hurricanes Affiliation


	Team Name	Albany
	City	Albany
	Head Coach
	Division	Sud Est

Arena Info


	Stadium	RBC Center
	Capacity	18,000
	Attendance	17,205
	Season Tickets	7,200

Salary Cap


	Total Cap Hit	76,393,833$
	Cap Hit Percentage	96.09%
	Projected Cap Space	3,106,167$
	Retains & Buyout	0$

Finance


	Team Revenue	6,710,076$
	Estimated Revenue	25,010,283$
	Estimated Expenses	76,393,920$
	Operating Income	-51,383,637$
	Bank Account	-333,813,969$

Team History


	Playoff Appearances	0
	Playoff Record (W-L)	0-
	Stanley Cup	0