Canadian Hockey League

IceHogs
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Predators 4-3-0, 8pts	4	FINAL	1	Blackhawks 3-4-0, 6pts

Team Stats
W2	Streak	L2
2-2-0	Home Record	1-2-0
2-1-0	Away Record	2-2-0
4-3-0	Last 10 Games	3-3-1
3.14	Goals Per Game	3.14
3.14	Goals Against Per Game	3.14
11.54%	Power Play Percentage	22.45%
77.55%	Penalty Kill Percentage	88.46%

Blackhawks
3-4-0, 6pts

FINAL

Predators
4-3-0, 8pts

Team Stats
L2	Streak	W2
1-2-0	Home Record	2-2-0
2-2-0	Away Record	2-1-0
3-3-1	Last 10 Games	4-3-0
3.14	Goals Per Game	3.14
3.14	Goals Against Per Game	3.14
22.45%	Power Play Percentage	11.54%
88.46%	Penalty Kill Percentage	77.55%

Team Leaders
	Goals Josh Norris 3	Assists Evander Kane 5

	Points Josh Norris 6	Plus/Minus Kirill Marchenko 3

	Wins Frederik Andersen 3	Save Percentage Jaroslav Halak 0.947

Team Stats
Goals For 22 3.14 GFG	Shots For 242 34.57 Avg	Power Play Percentage 22.4% 11 GF	Offensive Zone Start 41.6%
Goals Against 22 3.14 GAA	Shots Against 244 34.86 Avg	Penalty Kill Percentage 88.5% 3 GA	Defensive Zone Start 42.6%

Injury / Suspension
	Kirill Marchenko is out for 3 days because of a Right Hip Injury.

Team Info
	General Manager	Simon Larame
	Coach	Jay Woodcroft
	Division	Central
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	The United Center
	Capacity	22,000
	Attendance	21,522
	Season Tickets	8,800
Roster Info
	Pro Team	23
	Farm Team	22
	Contract Limit	45 / 50
	Prospects	8
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	5,722,800$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	114,131,310$
	Projected Bank Account	114,131,310$
Team History
	This Season	3-4
	History	726-698-140 (0.464%)
	Playoff Appearances	6
	Playoff Record (W-L)	24-37
	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	Johnny Gaudreau			X		99.00	41	38	85	96	40	87	98	83	40	94	72	67	69	82	85	45	47	75	0	30	4	1$
2	Phillip Danault	X				100.00	63	52	75	86	63	85	99	72	89	76	68	79	40	82	84	45	47	73	0	30	1	4,500,000$
3	Brock Boeser			X		100.00	56	51	84	87	67	84	94	75	40	81	70	66	62	74	79	65	49	72	0	26	4	7,000,000$
4	Kevin Hayes	X				100.00	55	60	84	82	79	84	98	72	84	76	68	66	71	84	84	40	51	72	0	31	1	4,750,000$
5	Evander Kane		X			100.00	99	58	64	85	70	86	71	73	40	64	82	66	52	86	86	35	40	72	0	32	2	7,000,000$
6	Josh Norris	X				100.00	68	49	85	89	63	60	50	79	86	65	93	73	73	70	65	75	35	71	0	24	7	7,000,000$
7	Colton Sissons	X				100.00	87	49	85	80	63	81	99	60	89	58	62	88	40	82	82	45	51	70	0	30	3	1,550,000$
8	Teuvo Teravainen			X		100.00	45	45	85	85	55	83	89	67	40	70	64	75	83	80	82	50	39	69	0	29	2	7,000,000$
9	Kailer Yamamoto			X		100.00	71	38	82	86	40	82	83	63	40	61	64	83	40	72	77	70	50	68	0	25	4	2,600,000$
10	Marcus Foligno		X			100.00	99	79	60	76	80	79	87	58	40	58	59	72	40	86	83	35	19	67	0	32	1	4,500,000$
11	Cameron Hughes		X			100.00	57	54	71	84	50	70	60	63	40	70	56	70	73	76	73	60	19	64	0	27	1	1,235,000$
12	Vladislav Gavrikov				X	100.00	64	57	79	76	78	86	92	58	40	55	60	96	40	78	82	55	53	75	0	28	2	3,500,000$
13	Adam Pelech				X	100.00	70	54	78	78	72	86	85	61	40	60	62	91	40	80	83	50	50	74	0	29	2	5,000,000$
14	Scott Mayfield				X	100.00	71	61	70	75	81	85	99	59	40	58	59	83	40	84	85	40	78	74	0	31	1	2,500,000$
15	Tyson Barrie				X	100.00	55	47	82	89	58	82	99	75	40	81	69	68	53	86	84	35	56	73	0	32	2	6,100,000$
16	Travis Hamonic				X	100.00	74	52	71	79	63	81	94	58	40	56	60	84	40	88	85	30	49	72	0	33	2	3,000,000$
17	Sean Durzi				X	100.00	62	53	76	85	59	82	92	69	40	73	65	73	40	72	77	70	49	71	0	25	2	3,000,000$
18	Travis Sanheim				X	100.00	58	47	80	79	58	84	98	58	40	56	61	79	40	76	80	60	61	70	0	27	4	4,500,000$
Scratches
1	Kevin Fiala		X			97.00	58	47	75	96	59	84	90	88	40	98	77	63	71	76	80	60	42	77	0	27	4	7,500,000$
2	Kirill Marchenko (R)		X			92.94	54	51	85	80	66	82	83	62	40	46	79	73	99	68	75	80	23	66	0	23	2	750,000$
3	Parker Wotherspoon				X	100.00	56	47	83	75	58	72	51	48	40	47	50	76	40	74	73	65	20	62	0	26	1	1,241,000$
Farm Team
1	Derek Grant	X				100.00	58	54	79	78	72	79	75	61	90	63	59	78	40	88	84	30	22	67	0	33	3	2,000,000$
2	Paul Byron		X			100.00	97	38	89	83	40	60	50	56	83	49	52	54	72	90	75	25	19	59	0	34	1	1,770,000$
3	Austin Wagner		X			100.00	92	50	63	75	58	60	50	46	40	30	61	70	40	74	67	65	19	57	0	26	1	1,235,000$
4	Clark Bishop	X				100.00	81	49	72	75	64	73	63	40	70	35	44	70	40	76	75	60	19	56	0	27	1	1,235,000$
5	Garrett Pilon			X		100.00	58	46	81	75	56	62	52	47	40	48	47	66	40	72	67	70	19	56	0	25	1	1,119,250$
6	Glenn Gawdin			X		100.00	64	56	73	75	61	66	56	49	70	43	54	50	40	74	70	65	19	55	0	26	1	998,250$
7	Nicholas Caamano			X		100.00	80	60	83	75	67	60	50	41	40	45	36	70	40	72	66	70	19	55	0	25	1	1,119,250$
8	Scott Reedy	X				100.00	49	52	83	75	68	65	55	42	40	38	46	54	40	70	68	75	28	53	0	24	1	825,000$
9	Evan Barratt	X				100.00	65	72	68	75	55	60	50	43	70	38	48	50	40	70	65	75	19	52	0	24	1	825,000$
10	Justin Barron				X	100.00	69	51	80	81	66	77	70	63	40	63	63	69	40	66	72	85	28	67	0	22	2	925,000$
11	Nick DeSimone				X	100.00	64	57	78	78	63	69	64	57	40	68	45	70	40	80	75	50	19	65	0	29	3	750,000$
12	Patrick Sieloff				X	100.00	99	51	68	75	66	75	70	33	40	35	32	70	40	80	78	50	19	63	0	29	3	750,000$
13	Matt Tennyson				X	100.00	76	52	71	75	67	75	70	35	40	41	30	70	40	88	82	30	19	63	0	33	3	750,000$
14	Dillon Heatherington				X	100.00	75	60	69	75	82	64	59	37	40	35	38	70	40	78	71	55	19	62	0	28	3	750,000$
15	Joe Hicketts				X	100.00	76	39	71	81	41	76	71	54	40	68	40	58	40	76	76	60	19	62	0	27	1	1,379,400$
16	Vladislav Kolyachonok				X	100.00	69	48	75	75	60	75	70	38	40	41	35	67	40	66	71	85	19	60	0	22	1	925,000$
17	Chase Priskie				X	100.00	62	60	83	75	54	62	57	44	40	36	53	56	40	76	69	60	19	57	0	27	1	770,000$
18	Bode Wilde				X	100.00	67	64	85	75	62	50	50	39	40	31	47	57	90	68	59	80	19	55	0	23	1	1,018,000$
19	Daniil Chayka (R)				X	100.00	55	48	88	83	61	61	56	31	40	29	34	50	40	64	63	90	26	54	0	21	3	925,000$
20	Jermaine Loewen			X		100.00	82	86	57	75	90	60	50	29	40	25	33	57	40	72	66	70	20	50	0	25	1	907,500$

	TEAM AVERAGE					99.71	68	53	77	80	63	74	73	56	49	55	56	69	49	77	76	58	33	65

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Frederik Andersen	98.00	85	71	75	99	75	73	75	77	77	73	86	90	82	25	50	78	0	34	1	6,000,000$
2	Jaroslav Halak	100.00	89	60	61	82	73	73	73	77	77	71	40	98	86	5	52	75	0	38	2	1,900,000$
Scratches
Farm Team
1	Mikhail Berdin	100.00	80	50	60	81	50	50	50	50	50	50	73	72	61	70	23	56	0	25	1	1,119,250$
2	Isaiah Saville (R)	100.00	75	50	60	86	50	50	50	50	50	50	40	68	59	80	18	56	0	23	2	750,000$

	TEAM AVERAGE	99.50	82	58	64	87	62	62	62	64	64	61	60	82	72	45	36	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jay Woodcroft	84	83	99	84	77	50	76	CAN	47	5	2,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FL	FT	S1	S2	S3
1	Josh Norris	Blackhawks	C	7	3	3	6	2	0	0	13	18	18	4	19	16.67%	0	91	13.09	0	0	0	2	1	0	0	1	0	40.38%	104	1.31	0	0	0	0	1	0
2	Vladislav Gavrikov	Blackhawks	D	7	2	4	6	-7	12	10	12	5	18	4	24	11.11%	10	181	25.96	1	3	4	13	42	0	22	0	0	0.00%	0	0.66	1	1	0	0	0	0
3	Evander Kane	Blackhawks	LW	7	1	5	6	-3	8	0	29	6	20	0	13	5.00%	0	149	21.29	1	3	4	12	39	1	11	0	0	22.22%	9	0.81	0	0	0	1	0	0
4	Tyson Barrie	Blackhawks	D	7	2	4	6	0	0	0	3	11	16	5	11	12.50%	10	152	21.83	2	2	4	12	36	0	21	0	0	0.00%	0	0.79	0	0	0	0	0	1
5	Adam Pelech	Blackhawks	D	7	3	2	5	-3	12	0	16	10	22	9	14	13.64%	14	168	24.09	2	2	4	19	41	0	18	1	1	0.00%	0	0.59	0	0	0	0	1	1
6	Brock Boeser	Blackhawks	RW	7	3	2	5	-3	0	0	0	7	28	3	7	10.71%	0	137	19.67	1	2	3	12	38	0	2	0	0	35.29%	17	0.73	0	0	0	0	0	0
7	Kevin Hayes	Blackhawks	C	7	2	3	5	-3	0	0	0	25	17	6	12	11.76%	1	137	19.61	2	2	4	6	38	0	2	0	0	55.67%	194	0.73	0	0	0	1	0	0
8	Phillip Danault	Blackhawks	C	7	2	3	5	-5	6	0	23	20	23	6	11	8.70%	1	153	21.93	1	1	2	4	42	0	14	0	0	49.75%	203	0.65	0	0	0	0	0	1
9	Teuvo Teravainen	Blackhawks	RW	7	1	3	4	1	0	0	2	6	11	1	4	9.09%	1	81	11.64	0	0	0	0	0	0	4	0	0	0.00%	6	0.98	0	0	0	0	0	0
10	Scott Mayfield	Blackhawks	D	7	0	4	4	-1	11	5	21	3	8	6	3	0.00%	12	149	21.36	0	4	4	6	38	0	18	0	0	0.00%	0	0.54	0	0	1	0	1	0
11	Johnny Gaudreau	Blackhawks	RW	7	2	1	3	-6	2	0	3	16	14	9	13	14.29%	1	172	24.67	1	0	1	2	42	0	28	0	0	33.33%	24	0.35	0	0	0	0	0	0
12	Travis Hamonic	Blackhawks	D	7	0	2	2	-2	10	0	10	4	7	5	6	0.00%	3	90	12.86	0	0	0	1	2	0	0	0	0	0.00%	0	0.44	0	0	0	0	0	0
13	Kevin Fiala	Blackhawks	LW	6	1	1	2	-6	2	0	12	15	20	4	10	5.00%	0	155	25.94	0	1	1	9	36	0	22	1	0	24.29%	70	0.26	0	0	0	0	0	0
14	Marcus Foligno	Blackhawks	LW	1	0	1	1	0	4	0	1	1	3	0	0	0.00%	0	15	15.72	0	0	0	2	3	0	0	0	0	0.00%	0	1.27	0	0	0	0	0	0
15	Sean Durzi	Blackhawks	D	7	0	1	1	-1	4	0	5	6	4	1	1	0.00%	12	90	12.88	0	0	0	0	0	0	7	0	0	0.00%	0	0.22	0	0	0	0	0	0
16	Colton Sissons	Blackhawks	C	7	0	0	0	-1	2	0	6	3	2	0	1	0.00%	2	30	4.41	0	0	0	0	0	0	4	0	0	56.00%	25	0.00	0	0	0	0	0	0
17	Cameron Hughes	Blackhawks	LW	1	0	0	0	-2	0	0	1	0	0	0	1	0.00%	1	17	17.57	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0
18	Travis Sanheim	Blackhawks	D	7	0	0	0	-2	0	0	1	1	0	0	0	0.00%	1	22	3.15	0	0	0	0	0	0	3	0	0	0.00%	0	0.00	0	0	0	0	0	0
19	Kailer Yamamoto	Blackhawks	RW	7	0	0	0	-1	0	0	1	1	3	0	3	0.00%	2	13	1.90	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0
20	Kirill Marchenko	Blackhawks	LW	6	0	0	0	3	0	0	2	2	8	0	7	0.00%	1	69	11.58	0	0	0	0	0	0	1	0	0	0.00%	6	0.00	0	0	0	0	0	0
Team Total or Average				126	22	39	61	-40	73	15	161	160	242	63	160	9.09%	72	2080	16.51	11	20	31	100	404	1	181	3	1	45.29%	658	0.59	1	1	1	2	3	3

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	SO	GA	SA	A	ST	BG	S1	S3
1	Frederik Andersen	Blackhawks	7	3	3	0	0.907	3.26	387	1	21	225	0	7	0	1	1
2	Jaroslav Halak	Blackhawks	1	0	0	1	0.947	1.54	39	0	1	19	1	0	7	0	0
Team Total or Average			8	3	3	1	0.910	3.09	427	1	22	244	1	7	7	1	1

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	2037	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2038	2039	2040	2041	2042	2043	2044	Link
Adam Pelech	Blackhawks	D	29	1994-08-16	No	210 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	5,000,000$	5,000,000$	2,321,429$	No	5,000,000$	UFA						Link / NHL Link
Brock Boeser	Blackhawks	RW	26	1997-02-25	No	208 Lbs	6 ft1	No	No	Yes	4	Pro Only	7,000,000$	7,000,000$	3,250,000$	No	7,000,000$	7,000,000$	7,000,000$	UFA				Link / NHL Link
Cameron Hughes	Blackhawks	LW	27	1996-10-09	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,235,000$	1,235,000$	573,393$	No	UFA							Link / NHL Link
Colton Sissons	Blackhawks	C	30	1993-11-05	No	200 Lbs	6 ft1	Yes	No	No	3	Pro & Farm	1,550,000$	1,550,000$	719,643$	No	1,550,000$	1,550,000$	UFA					Link / NHL Link
Evander Kane	Blackhawks	LW	32	1991-08-02	No	210 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	3,250,000$	No	7,000,000$	UFA						Link / NHL Link
Frederik Andersen	Blackhawks	G	34	1989-10-02	No	250 Lbs	6 ft4	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	2,785,714$	No	UFA							Link / NHL Link
Jaroslav Halak	Blackhawks	G	38	1985-03-13	No	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,900,000$	1,900,000$	882,143$	No	1,900,000$	UFA						Link / NHL Link
Johnny Gaudreau	Blackhawks	RW	30	1993-08-13	No	165 Lbs	5 ft9	Yes	No	Yes	4	Pro Only	1$	1$	0$	No	9,900,000$	9,900,000$	9,900,000$	UFA				Link / NHL Link
Josh Norris	Blackhawks	C	24	1999-05-05	No	199 Lbs	6 ft1	No	No	Yes	7	Pro Only	7,000,000$	7,000,000$	3,250,000$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Link / NHL Link
Kailer Yamamoto	Blackhawks	RW	25	1998-09-29	No	153 Lbs	5 ft8	No	No	Yes	4	Pro & Farm	2,600,000$	2,600,000$	1,207,143$	No	2,600,000$	2,600,000$	2,600,000$	UFA				Link / NHL Link
Kevin Fiala	Blackhawks	LW	27	1996-07-22	No	204 Lbs	5 ft10	No	No	Yes	4	Pro Only	7,500,000$	7,500,000$	3,482,143$	No	7,500,000$	7,500,000$	7,500,000$	UFA				Link / NHL Link
Kevin Hayes	Blackhawks	C	31	1992-05-08	No	216 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	4,750,000$	4,750,000$	2,205,357$	No	UFA							Link / NHL Link
Kirill Marchenko (Out of Payroll)	Blackhawks	LW	23	2000-07-21	Yes	197 Lbs	6 ft3	No	No	No	2	Pro & Farm	750,000$	750,000$	348,214$	No	750,000$	RFA						NHL Link
Marcus Foligno	Blackhawks	LW	32	1991-08-10	No	226 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	2,089,286$	No	UFA							Link / NHL Link
Parker Wotherspoon	Blackhawks	D	26	1997-08-24	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,241,000$	1,241,000$	576,179$	No	RFA							Link / NHL Link
Phillip Danault	Blackhawks	C	30	1993-02-24	No	200 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	2,089,286$	No	UFA							Link / NHL Link
Scott Mayfield	Blackhawks	D	31	1992-10-14	No	220 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	1,160,714$	No	UFA							Link / NHL Link
Sean Durzi	Blackhawks	D	25	1998-10-21	No	195 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	RFA						Link / NHL Link
Teuvo Teravainen	Blackhawks	RW	29	1994-09-11	No	191 Lbs	5 ft11	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	3,250,000$	No	7,000,000$	UFA						Link / NHL Link
Travis Hamonic	Blackhawks	D	33	1990-08-16	No	200 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	UFA						Link / NHL Link
Travis Sanheim	Blackhawks	D	27	1996-03-29	No	181 Lbs	6 ft3	No	No	Yes	4	Pro & Farm	4,500,000$	4,500,000$	2,089,286$	No	4,500,000$	4,500,000$	4,500,000$	UFA				Link / NHL Link
Tyson Barrie	Blackhawks	D	32	1991-07-26	No	197 Lbs	5 ft11	No	No	Yes	2	Pro Only	6,100,000$	6,100,000$	2,832,143$	No	6,100,000$	UFA						Link / NHL Link
Vladislav Gavrikov	Blackhawks	D	28	1995-11-21	No	221 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	1,625,000$	No	3,500,000$	UFA						Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	29.09	199 Lbs	6 ft1	2.39	4,005,478$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
92,126,001$	77,300,000$	40,050,000$	38,500,000$	7,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Phillip Danault	Johnny Gaudreau	40	1	2	2
2	Marcus Foligno	Kevin Hayes	Brock Boeser	30	1	2	2
3	Cameron Hughes	Josh Norris	Teuvo Teravainen	20	1	2	2
4	Johnny Gaudreau	Colton Sissons	Kailer Yamamoto	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Gavrikov	Scott Mayfield	40	1	2	2
2	Adam Pelech	Tyson Barrie	30	1	2	2
3	Travis Hamonic	Sean Durzi	20	1	2	2
4	Travis Sanheim	Vladislav Gavrikov	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Phillip Danault	Johnny Gaudreau	60	1	2	2
2	Marcus Foligno	Kevin Hayes	Brock Boeser	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Gavrikov	Scott Mayfield	60	1	2	2
2	Adam Pelech	Tyson Barrie	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Johnny Gaudreau	Phillip Danault	60	1	2	2
2	Brock Boeser	Kevin Hayes	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Gavrikov	Scott Mayfield	60	1	2	2
2	Adam Pelech	Tyson Barrie	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Johnny Gaudreau	60	1	2	2	Vladislav Gavrikov	Scott Mayfield	60	1	2	2
2	Phillip Danault	40	1	2	2	Adam Pelech	Tyson Barrie	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Johnny Gaudreau	Phillip Danault	60	1	2	2
2	Brock Boeser	Kevin Hayes	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Gavrikov	Scott Mayfield	60	1	2	2
2	Adam Pelech	Tyson Barrie	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Evander Kane	Phillip Danault	Johnny Gaudreau	Vladislav Gavrikov	Scott Mayfield

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Evander Kane	Phillip Danault	Johnny Gaudreau	Vladislav Gavrikov	Scott Mayfield

Extra Forwards
Normal	PowerPlay	Penalty Kill
Josh Norris, Colton Sissons, Teuvo Teravainen	Josh Norris, Colton Sissons	Teuvo Teravainen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Travis Hamonic, Sean Durzi, Travis Sanheim	Travis Hamonic	Sean Durzi, Travis Sanheim

Penalty Shots
Johnny Gaudreau, Phillip Danault, Brock Boeser, Kevin Hayes, Evander Kane

Goalie
#1 : Frederik Andersen, #2 : Jaroslav Halak

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	Predators	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	0.429	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44
	Total	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	0.429	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44
	_Since Last GM Reset	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	0.429	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44
	_Vs Conference	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	0.429	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44
	_Vs Division	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	0.429	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44

			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	L2	22	39	61	242	244	72	73	161	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	22	22

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	8	7

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	14	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
49	11	22.45%	26	3	88.46%	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
83	61	93	5	9	4	9	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
135	274	49.27%	115	280	41.07%	48	104	46.15%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
161	110	177	53	87	44

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
2	6	Blackhawks	5	Predators	6	AL	X	BoxScore
4	14	Blackhawks	4	Predators	2	AW		BoxScore
6	22	Predators	0	Blackhawks	5	BW		BoxScore
8	30	Predators	3	Blackhawks	2	BL		BoxScore
10	38	Blackhawks	3	Predators	2	AW		BoxScore
12	46	Predators	4	Blackhawks	1	BL		BoxScore
14	54	Blackhawks	2	Predators	5	AL		BoxScore

Depth Chart

Left Wing

Center

Right Wing

Kevin Fiala

AGE:27
SK:		96
EN:		84
DU:		90
PH:		88
PA:		98
SC:		77
DF:		63
Evander Kane

AGE:32
SK:		85
EN:		86
DU:		71
PH:		73
PA:		64
SC:		82
DF:		66
Marcus Foligno

AGE:32
SK:		76
EN:		79
DU:		87
PH:		58
PA:		58
SC:		59
DF:		72
Kirill Marchenko (R)

AGE:23
SK:		80
EN:		82
DU:		83
PH:		62
PA:		46
SC:		79
DF:		73
Cameron Hughes

AGE:27
SK:		84
EN:		70
DU:		60
PH:		63
PA:		70
SC:		56
DF:		70
Paul Byron

AGE:34
SK:		83
EN:		60
DU:		50
PH:		56
PA:		49
SC:		52
DF:		54
Austin Wagner

AGE:26
SK:		75
EN:		60
DU:		50
PH:		46
PA:		30
SC:		61
DF:		70

Phillip Danault

AGE:30
SK:		86
EN:		85
DU:		99
PH:		72
PA:		76
SC:		68
DF:		79
Kevin Hayes

AGE:31
SK:		82
EN:		84
DU:		98
PH:		72
PA:		76
SC:		68
DF:		66
Josh Norris

AGE:24
SK:		89
EN:		60
DU:		50
PH:		79
PA:		65
SC:		93
DF:		73
Colton Sissons

AGE:30
SK:		80
EN:		81
DU:		99
PH:		60
PA:		58
SC:		62
DF:		88
Derek Grant

AGE:33
SK:		78
EN:		79
DU:		75
PH:		61
PA:		63
SC:		59
DF:		78
Clark Bishop

AGE:27
SK:		75
EN:		73
DU:		63
PH:		40
PA:		35
SC:		44
DF:		70
Scott Reedy

AGE:24
SK:		75
EN:		65
DU:		55
PH:		42
PA:		38
SC:		46
DF:		54
Evan Barratt

AGE:24
SK:		75
EN:		60
DU:		50
PH:		43
PA:		38
SC:		48
DF:		50

Johnny Gaudreau

AGE:30
SK:		96
EN:		87
DU:		98
PH:		83
PA:		94
SC:		72
DF:		67
Brock Boeser

AGE:26
SK:		87
EN:		84
DU:		94
PH:		75
PA:		81
SC:		70
DF:		66
Teuvo Teravainen

AGE:29
SK:		85
EN:		83
DU:		89
PH:		67
PA:		70
SC:		64
DF:		75
Kailer Yamamoto

AGE:25
SK:		86
EN:		82
DU:		83
PH:		63
PA:		61
SC:		64
DF:		83
Garrett Pilon

AGE:25
SK:		75
EN:		62
DU:		52
PH:		47
PA:		48
SC:		47
DF:		66
Nicholas Caamano

AGE:25
SK:		75
EN:		60
DU:		50
PH:		41
PA:		45
SC:		36
DF:		70
Glenn Gawdin

AGE:26
SK:		75
EN:		66
DU:		56
PH:		49
PA:		43
SC:		54
DF:		50
Jermaine Loewen

AGE:25
SK:		75
EN:		60
DU:		50
PH:		29
PA:		25
SC:		33
DF:		57

Defense #1

Defense #2

Goalie

Vladislav Gavrikov

AGE:28
SK:		76
EN:		86
DU:		92
PH:		58
PA:		55
SC:		60
DF:		96
Adam Pelech

AGE:29
SK:		78
EN:		86
DU:		85
PH:		61
PA:		60
SC:		62
DF:		91
Scott Mayfield

AGE:31
SK:		75
EN:		85
DU:		99
PH:		59
PA:		58
SC:		59
DF:		83
Tyson Barrie

AGE:32
SK:		89
EN:		82
DU:		99
PH:		75
PA:		81
SC:		69
DF:		68
Travis Hamonic

AGE:33
SK:		79
EN:		81
DU:		94
PH:		58
PA:		56
SC:		60
DF:		84
Sean Durzi

AGE:25
SK:		85
EN:		82
DU:		92
PH:		69
PA:		73
SC:		65
DF:		73
Travis Sanheim

AGE:27
SK:		79
EN:		84
DU:		98
PH:		58
PA:		56
SC:		61
DF:		79
Justin Barron

AGE:22
SK:		81
EN:		77
DU:		70
PH:		63
PA:		63
SC:		63
DF:		69
Nick DeSimone

AGE:29
SK:		78
EN:		69
DU:		64
PH:		57
PA:		68
SC:		45
DF:		70

Patrick Sieloff

AGE:29
SK:		75
EN:		75
DU:		70
PH:		33
PA:		35
SC:		32
DF:		70
Matt Tennyson

AGE:33
SK:		75
EN:		75
DU:		70
PH:		35
PA:		41
SC:		30
DF:		70
Parker Wotherspoon

AGE:26
SK:		75
EN:		72
DU:		51
PH:		48
PA:		47
SC:		50
DF:		76
Joe Hicketts

AGE:27
SK:		81
EN:		76
DU:		71
PH:		54
PA:		68
SC:		40
DF:		58
Dillon Heatherington

AGE:28
SK:		75
EN:		64
DU:		59
PH:		37
PA:		35
SC:		38
DF:		70
Vladislav Kolyachonok

AGE:22
SK:		75
EN:		75
DU:		70
PH:		38
PA:		41
SC:		35
DF:		67
Chase Priskie

AGE:27
SK:		75
EN:		62
DU:		57
PH:		44
PA:		36
SC:		53
DF:		56
Bode Wilde

AGE:23
SK:		75
EN:		50
DU:		50
PH:		39
PA:		31
SC:		47
DF:		57
Daniil Chayka (R)

AGE:21
SK:		83
EN:		61
DU:		56
PH:		31
PA:		29
SC:		34
DF:		50

Frederik Andersen

AGE:34
SK:		85
AG:		75
RB:		73
SC:		75
HS:		77
RT:		77
DF:		73
Jaroslav Halak

AGE:38
SK:		89
AG:		73
RB:		73
SC:		73
HS:		77
RT:		77
DF:		71
Isaiah Saville (R)

AGE:23
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Mikhail Berdin

AGE:25
SK:		80
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
Artyom Manukyan	Blackhawks	2032	189
Ben Meehan	Blackhawks	2034	165
Clayton Phillips	Blackhawks	2031	127
Filip Engaras	Blackhawks	2034	196
Leevi Aaltonen	Blackhawks	2033	128
Matvey Guskov	Blackhawks	2033	188
Vladislav Yeryomenko	Blackhawks	2032	129
Yegor Spiridonov	Blackhawks	2033	148

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2038
2040

Blackhawks 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 Sobotka	1507	292	460	752	230	2242	2003	1980	2689	10.86%	853	24587	16.32	59	99	158	307	16	17	33	103	44	18	51.19%	5	0.61	6	42
2	Mike Green	491	104	277	381	-58	533	820	677	1027	10.13%	581	11751	23.93	67	97	164	676	2	6	8	15	10	5	0.00%	1	0.65	0	0
3	Mikko Koivu	375	111	270	381	78	94	259	1167	1101	10.08%	144	8984	23.96	30	105	135	299	1	7	8	46	14	9	55.24%	2	0.85	4	37
4	Kevin Fiala	458	143	210	353	-3	108	322	810	1516	9.43%	64	8919	19.48	29	68	97	373	4	0	4	28	24	8	32.42%	2	0.79	4	29
5	Johnny Gaudreau	320	122	195	317	52	4	44	680	1076	11.34%	43	7156	22.36	25	61	86	284	0	3	3	20	15	11	33.04%	4	0.89	7	21

Blackhawks Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Kari Lehtonen	387	156	180	32	0.897	3.38	21886	46	5	1233	12016	0	19	10	0.701	134
2	Andrei Vasilevskiy	220	128	70	17	0.907	2.73	13010	28	16	591	6322	0	8	5	0.778	63
3	Martin Brodeur	101	55	40	2	0.891	3.26	5607	42	2	305	2799	0	2	0	0.769	39
4	Ryan Miller	85	49	27	7	0.905	2.87	4992	4	4	239	2529	989	4	0	0.795	39
5	Ryan Miller	108	48	46	6	0.902	3.17	6099	8	8	322	3281	0	2	3	0.667	33

Blackhawks 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	39	29	0	5	1	4	4	287	244	43	41	20	14	0	3	0	3	1	137	112	25	41	19	15	0	2	1	1	3	150	132	18	89	287	463	750	1	3	0	88	94	96	2669	0	862	949	833	2588	854	2310	1978	296	57	19.26%	375	63	83.20%	16	1065	2069	51.47%	1106	2154	51.35%	749	1478	50.68%	1728	963	1922	852	1495	730
2018	82	35	32	0	3	3	5	4	247	236	11	41	19	14	0	1	1	3	3	131	121	10	41	16	18	0	2	2	2	1	116	115	1	79	247	376	623	1	2	0	61	96	82	2697	0	867	903	912	2642	853	1786	1880	195	33	16.92%	293	48	83.62%	10	1168	2152	54.28%	1132	2100	53.90%	713	1367	52.16%	1704	958	1772	771	1495	725
2019	82	28	34	0	5	3	3	9	214	251	-37	41	13	18	0	2	2	2	4	103	125	-22	41	15	16	0	3	1	1	5	111	126	-15	69	214	339	553	3	4	0	48	83	75	2409	0	699	849	818	2552	893	1805	1678	213	38	17.84%	283	47	83.39%	5	1022	2004	51.00%	1064	2163	49.19%	631	1208	52.24%	1664	886	1768	784	1560	776
2020	82	31	31	0	3	3	7	7	243	250	-7	41	14	16	0	2	3	3	3	114	116	-2	41	17	15	0	1	0	4	4	129	134	-5	71	243	383	626	2	2	0	58	90	85	2663	0	825	957	860	2521	851	1847	1853	232	34	14.66%	266	47	82.33%	6	1144	2221	51.51%	1012	2060	49.13%	623	1255	49.64%	1741	984	1750	775	1507	732
2021	82	35	33	0	1	2	5	6	261	250	11	41	14	18	0	0	1	4	4	137	139	-2	41	21	15	0	1	1	1	2	124	111	13	74	261	464	725	2	6	0	84	96	75	2576	0	832	799	914	2510	724	1261	1901	430	78	18.14%	525	96	81.71%	4	1578	3090	51.07%	1560	3112	50.13%	686	1316	52.13%	1973	1332	1966	629	1039	517
2022	82	43	27	0	1	0	8	3	289	243	46	41	21	13	0	1	0	4	2	138	127	11	41	22	14	0	0	0	4	1	151	116	35	88	289	493	782	0	2	0	116	84	80	2833	0	918	953	946	2457	698	1208	1898	473	98	20.72%	491	95	80.65%	6	1721	3267	52.68%	1559	3015	51.71%	704	1303	54.03%	2013	1379	1930	631	1032	517
2023	82	34	38	0	1	3	0	6	271	284	-13	41	19	18	0	0	2	0	2	135	144	-9	41	15	20	0	1	1	0	4	136	140	-4	73	271	489	760	0	3	0	94	93	83	2581	0	850	862	853	2667	859	1125	1931	418	96	22.97%	478	92	80.75%	4	1579	3021	52.27%	1556	3076	50.59%	684	1335	51.24%	1885	1264	2032	628	1038	502
2024	82	21	52	0	0	2	2	5	232	331	-99	41	13	22	0	0	1	2	3	119	150	-31	41	8	30	0	0	1	0	2	113	181	-68	53	232	407	639	0	1	0	75	90	65	2356	0	813	767	760	2941	835	1125	1956	415	83	20.00%	477	116	75.68%	5	1484	2805	52.91%	1572	3351	46.91%	660	1360	48.53%	1790	1192	2147	633	1026	490
2025	82	20	50	0	3	1	2	6	235	324	-89	41	13	20	0	2	1	0	5	119	148	-29	41	7	30	0	1	0	2	1	116	176	-60	57	235	419	654	1	1	0	79	81	70	2283	0	749	754	756	2896	877	1103	1908	427	73	17.10%	467	109	76.66%	3	1276	2797	45.62%	1411	3288	42.91%	606	1341	45.19%	1812	1205	2131	633	1025	487
2026	82	34	35	0	5	2	4	2	273	250	23	41	20	12	0	3	2	2	2	155	119	36	41	14	23	0	2	0	2	0	118	131	-13	90	273	484	757	1	4	0	96	87	81	2480	0	769	835	854	2607	739	1111	1884	439	77	17.54%	484	94	80.58%	1	1542	3038	50.76%	1499	3123	48.00%	732	1322	55.37%	1996	1364	1945	619	1024	514
2027	82	18	44	0	3	2	6	9	240	333	-93	41	7	25	0	0	0	5	4	114	166	-52	41	11	19	0	3	2	1	5	126	167	-41	65	240	416	656	5	0	0	88	77	66	2345	0	764	795	752	2873	777	1195	1972	421	83	19.71%	515	128	75.15%	8	1503	2869	52.39%	1528	3194	47.84%	696	1364	51.03%	1830	1217	2135	641	1038	498
2030	82	24	50	0	2	2	2	2	233	333	-100	41	16	22	0	2	1	0	0	129	156	-27	41	8	28	0	0	1	2	2	104	177	-73	60	233	420	653	0	0	0	85	74	70	2309	0	783	791	725	2716	784	1111	2032	406	74	18.23%	488	117	76.02%	1	1323	2838	46.62%	1365	3058	44.64%	658	1370	48.03%	1806	1197	2083	634	1055	509
2031	82	30	44	0	1	1	4	2	242	308	-66	41	19	20	0	1	0	1	0	129	136	-7	41	11	24	0	0	1	3	2	113	172	-59	73	242	423	665	1	1	0	88	83	66	2551	0	859	860	822	2647	759	1173	1948	402	85	21.14%	462	109	76.41%	3	1469	3018	48.67%	1454	3055	47.59%	631	1317	47.91%	1861	1251	2060	631	1032	503
2032	82	22	40	0	3	4	3	10	264	323	-59	41	12	19	0	1	3	0	6	143	166	-23	41	10	21	0	2	1	3	4	121	157	-36	70	264	452	716	0	1	0	105	74	79	2553	0	825	872	821	3083	918	1162	1989	365	63	17.26%	500	93	81.40%	3	1308	2952	44.31%	1468	3393	43.27%	620	1423	43.57%	1760	1160	2193	645	1046	497
2033	82	31	43	0	1	0	2	5	251	293	-42	41	16	20	0	1	0	1	3	125	146	-21	41	15	23	0	0	0	1	2	126	147	-21	73	251	448	699	1	3	0	85	86	77	2451	0	763	827	843	2898	863	1061	1955	402	82	20.40%	465	96	79.35%	3	1472	2908	50.62%	1534	3213	47.74%	651	1313	49.58%	1819	1209	2107	632	1031	495
2034	82	37	35	0	3	1	4	2	245	213	32	41	14	22	0	2	0	2	1	115	110	5	41	23	13	0	1	1	2	1	130	103	27	91	245	440	685	2	10	0	83	78	77	2395	0	796	773	805	2271	664	731	1613	432	66	15.28%	312	51	83.65%	1	1596	2878	55.46%	1396	2737	51.00%	648	1227	52.81%	2109	1482	1809	593	1037	539
2035	82	46	20	0	3	3	6	4	298	225	73	41	22	10	0	2	1	5	1	149	104	45	41	24	10	0	1	2	1	3	149	121	28	117	298	519	817	1	8	0	116	88	85	2889	0	992	931	935	2526	737	871	1684	410	87	21.22%	378	52	86.24%	3	1730	3169	54.59%	1579	2986	52.88%	672	1312	51.22%	2025	1413	1922	610	1027	516
2036	82	44	28	0	1	6	1	2	279	244	35	41	19	16	0	0	3	1	2	131	126	5	41	25	12	0	1	3	0	0	148	118	30	100	279	505	784	2	3	0	108	96	73	2452	0	808	811	820	2382	731	935	1637	406	59	14.53%	377	64	83.02%	4	1463	2799	52.27%	1468	2849	51.53%	665	1286	51.71%	2096	1493	1853	590	1002	506
2037	82	35	33	0	5	4	2	3	280	273	7	41	19	16	0	1	3	1	1	150	146	4	41	16	17	0	4	1	1	2	130	127	3	91	280	504	784	0	5	104	87	82	10	2594	854	874	844	46	2564	704	886	1778	424	94	22.17%	387	82	78.81%	4	1437	2939	48.89%	1304	2850	45.75%	668	1314	50.84%	2008	1392	1920	602	1031	519
Total Regular Season	1558	607	698	0	49	43	70	91	4884	5208	-324	779	310	335	0	24	24	39	47	2473	2557	-84	779	297	363	0	25	19	31	44	2411	2651	-240	1483	4884	8444	13328	23	59	104	1644	1632	1395	48086	854	15648	16132	15075	50341	15120	23806	35475	7206	1360	18.87%	8023	1599	80.07%	90	26880	52834	50.88%	26567	54777	48.50%	12697	25211	50.36%	35628	23350	37454	12544	21549	10582
Playoff
2017	13	6	7	0	0	0	0	0	40	43	-3	7	5	2	0	0	0	0	0	24	19	5	6	1	5	0	0	0	0	0	16	24	-8	12	40	65	105	0	0	0	9	9	19	479	0	149	141	168	461	139	439	344	46	11	23.91%	61	9	85.25%	1	207	381	54.33%	198	411	48.18%	118	224	52.68%	282	159	2225	978	234	112
2018	11	4	7	0	0	0	0	0	28	38	-10	5	1	4	0	0	0	0	0	10	21	-11	6	3	3	0	0	0	0	0	18	17	1	8	28	50	78	0	1	0	9	9	9	345	0	94	151	97	331	110	166	259	33	3	9.09%	35	8	77.14%	0	141	271	52.03%	131	250	52.40%	73	182	40.11%	233	131	229	102	204	98
2022	6	2	4	0	0	0	0	0	20	27	-7	3	1	2	0	0	0	0	0	10	13	-3	3	1	2	0	0	0	0	0	10	14	-4	4	20	30	50	0	0	0	10	8	1	226	0	73	74	51	232	63	104	153	37	7	18.92%	52	12	76.92%	3	134	274	48.91%	126	269	46.84%	59	108	54.63%	171	116	173	53	89	42
2034	7	3	4	0	0	0	0	0	15	20	-5	3	1	2	0	0	0	0	0	5	11	-6	4	2	2	0	0	0	0	0	10	9	1	6	15	27	42	0	0	0	5	6	3	240	0	68	69	61	267	83	83	150	44	3	6.82%	32	4	87.50%	0	158	325	48.62%	134	314	42.68%	46	110	41.82%	190	129	203	60	99	49
2035	5	1	4	0	0	0	0	0	13	20	-7	3	1	2	0	0	0	0	0	11	13	-2	2	0	2	0	0	0	0	0	2	7	-5	2	13	23	36	0	0	0	5	1	7	133	0	45	51	37	188	56	71	114	21	2	9.52%	30	5	83.33%	0	75	167	44.91%	100	220	45.45%	34	72	47.22%	111	74	125	36	63	31
2036	12	5	7	0	0	0	0	0	40	51	-11	5	3	2	0	0	0	0	0	14	14	0	7	2	5	0	0	0	0	0	26	37	-11	10	40	76	116	0	0	0	11	12	15	352	0	128	99	117	455	127	119	302	61	10	16.39%	47	14	70.21%	0	187	410	45.61%	213	478	44.56%	103	212	48.58%	289	203	300	89	147	74
2037	7	3	4	0	0	0	0	0	22	22	0	3	1	2	0	0	0	0	0	8	7	1	4	2	2	0	0	0	0	0	14	15	-1	6	22	39	61	0	1	9	4	9	0	242	83	61	93	5	244	72	73	161	49	11	22.45%	26	3	88.46%	0	135	274	49.27%	115	280	41.07%	48	104	46.15%	161	110	177	53	87	44
Total Playoff	61	24	37	0	0	0	0	0	178	221	-43	29	13	16	0	0	0	0	0	82	98	-16	32	11	21	0	0	0	0	0	96	123	-27	48	178	310	488	0	2	9	53	54	54	2017	83	618	678	536	2178	650	1055	1483	291	47	16.15%	283	55	80.57%	4	1037	2102	49.33%	1017	2222	45.77%	481	1012	47.53%	1440	925	3436	1374	927	452

Blackhawks Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Ryan Stone	234	40	65	105	-26	439	344	293	479	8.35%	139	3960	16.92	11	17	28	59	1	1	2	21	6	5	51.48%	0	0.53
2	Kevin Fiala	30	13	10	23	-11	6	25	64	114	11.40%	3	673	22.45	2	4	6	32	0	0	0	0	3	1	22.96%	1	0.68
3	Johnny Gaudreau	31	10	9	19	-8	6	12	57	100	10.00%	6	770	24.86	3	4	7	28	0	0	0	1	1	0	32.12%	1	0.49
4	Duncan Keith	17	2	12	14	-2	8	7	15	24	8.33%	27	368	21.68	2	3	5	13	0	0	0	0	0	0	0.00%	0	0.76
5	Patrick Kane	12	6	6	12	4	0	1	22	42	14.29%	2	254	21.20	1	3	4	11	0	0	0	1	1	1	34.78%	0	0.94

Blackhawks Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Ryan Miller	14	6	6	1	0.907	3.16	817	0	0	43	461	165	2
2	Dan Ellis	11	4	6	1	0.893	3.14	612	2	1	32	299	129	0
3	Andrei Vasilevskiy	15	4	8	1	0.891	4.05	845	0	0	57	524	0	1
4	Tuukka Rask	7	3	3	1	0.925	2.41	474	0	0	19	255	0	0
5	Frederik Andersen	7	3	3	0	0.907	3.26	387	0	1	21	225	0	0