Canadian Hockey League

IceHogs
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Blackhawks 12-31-2, 26pts	3	FINAL	2	Penguins 24-16-3, 51pts

Team Stats
W2	Streak	OTL1
8-13-1	Home Record	12-10-1
4-18-1	Away Record	12-6-2
3-7-0	Last 10 Games	3-5-2
2.69	Goals Per Game	3.30
4.29	Goals Against Per Game	2.79
15.28%	Power Play Percentage	18.05%
77.16%	Penalty Kill Percentage	82.83%

Flames
11-32-1, 23pts

FINAL

Blackhawks
12-31-2, 26pts

Team Stats
L1	Streak	W2
8-12-0	Home Record	8-13-1
3-20-1	Away Record	4-18-1
4-6-0	Last 10 Games	3-7-0
2.55	Goals Per Game	2.69
4.43	Goals Against Per Game	4.29
16.48%	Power Play Percentage	15.28%
76.38%	Penalty Kill Percentage	77.16%

Predators
28-10-6, 62pts

Day 94

Blackhawks
12-31-2, 26pts

Team Stats
W1	Streak	W2
12-6-4	Home Record	8-13-1
16-4-2	Away Record	4-18-1
8-2-0	Last 10 Games	3-7-0
3.93	Goals Per Game	2.69
3.05	Goals Against Per Game	4.29
21.39%	Power Play Percentage	15.28%
79.02%	Penalty Kill Percentage	77.16%

GoldenKnights
15-27-4, 34pts

Day 97

Blackhawks
12-31-2, 26pts

Team Stats
L1	Streak	W2
7-13-1	Home Record	8-13-1
8-14-3	Away Record	4-18-1
4-4-2	Last 10 Games	3-7-0
3.28	Goals Per Game	2.69
4.20	Goals Against Per Game	4.29
19.05%	Power Play Percentage	15.28%
76.65%	Penalty Kill Percentage	77.16%

Blackhawks
12-31-2, 26pts

Day 99

Devils
15-23-4, 34pts

Team Stats
W2	Streak	L2
8-13-1	Home Record	7-11-1
4-18-1	Away Record	8-12-3
3-7-0	Last 10 Games	2-7-1
2.69	Goals Per Game	2.55
4.29	Goals Against Per Game	3.48
15.28%	Power Play Percentage	13.86%
77.16%	Penalty Kill Percentage	79.81%

Team Leaders
	Goals Kirill Marchenko 19	Assists Shane Pinto 34

	Points Shane Pinto 52	Plus/Minus Taylor Hall -2

	Wins Philipp Grubauer 8	Save Percentage Joseph Woll 0.884

Team Stats
Goals For 121 2.69 GFG	Shots For 1249 27.76 Avg	Power Play Percentage 15.3% 33 GF	Offensive Zone Start 37.4%
Goals Against 193 4.29 GAA	Shots Against 1599 35.53 Avg	Penalty Kill Percentage 77.2% 53 GA	Defensive Zone Start 44.4%

Injury / Suspension
	Logan Morrison is out for 1 month because of a Left Hand 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	19,693
	Season Tickets	8,800
Roster Info
	Pro Team	22
	Farm Team	27
	Contract Limit	49 / 50
	Prospects	24
Salary Cap
	Estimated Season Salary Cap	63,812,405$
	Available Salary Cap	21,187,595$
	Special Salary Cap Value	0$
	Players In Salary Cap	21
Finance
	Year to Date Revenue	37,432,410$
	Year To Date Expenses	35,418,135$
	Estimated Season Revenue	32,327,990$
	Estimated Season Expenses	30,394,224$
	Current Bank Account	114,834,998$
	Projected Bank Account	115,608,054$
Team History
	This Season	12-31-2 (26PTS)
	History	738-729-144 (0.458%)
	Playoff Appearances	7
	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	David Perron		X			96.00	74	47	76	86	59	81	95	70	40	72	68	67	75	96	89	10	18	71	0	36	2	5,250,000$
2	Shane Pinto	X				99.00	62	52	83	84	68	85	71	72	86	76	68	82	40	72	79	70	17	71	0	24	7	7,500,000$
3	Kirill Marchenko		X			100.00	57	50	86	82	65	82	96	67	68	60	74	73	90	72	77	70	18	69	0	24	1	750,000$
4	Brett Leason		X			100.00	68	58	86	75	80	77	89	58	40	53	63	82	40	74	76	65	38	67	0	25	1	1,120,000$
5	Jason Zucker		X			100.00	73	54	67	84	55	77	90	64	40	61	67	60	57	88	83	30	20	66	0	32	2	3,000,000$
6	Will Cuylle			X		100.00	99	64	76	76	72	73	98	56	40	48	63	63	40	68	71	80	18	64	0	22	1	1,500,000$
7	Kaapo Kakko			X		100.00	50	52	82	78	68	77	85	58	40	48	67	67	79	70	74	75	18	63	0	23	3	3,750,000$
8	Frederick Gaudreau	X				100.00	48	44	86	79	53	78	89	54	85	52	56	69	93	86	82	35	14	63	0	31	3	2,500,000$
9	Samuel Blais			X		100.00	99	56	78	75	68	71	79	50	40	49	52	63	99	80	76	50	18	62	0	28	1	1,975,000$
10	Zachary L'Heureux (R)		X			100.00	65	70	30	88	59	75	65	55	40	56	54	70	40	66	71	85	20	62	0	21	3	925,000$
11	Derek Grant	X				100.00	58	54	79	78	72	60	50	61	90	53	49	58	40	92	76	20	21	60	0	34	2	2,000,000$
12	Nicolas Hague				X	100.00	89	72	78	75	93	81	93	52	40	51	53	74	40	76	79	60	10	71	0	26	2	3,250,000$
13	Jackson LaCombe (R)				X	100.00	56	52	83	76	68	82	92	55	40	57	53	77	40	70	76	75	18	68	0	23	2	1$
14	Jordan Spence				X	100.00	62	42	87	82	49	74	92	59	40	65	53	66	40	70	72	75	19	66	0	23	1	925,000$
15	Tyson Barrie				X	100.00	48	47	82	82	58	80	71	61	40	68	53	59	53	90	85	25	18	65	0	33	1	6,100,000$
16	Dillon Heatherington				X	100.00	75	60	80	75	81	64	59	33	40	30	36	69	40	82	73	45	35	62	0	29	2	750,000$
17	Tobias Bjornfot				X	100.00	68	48	81	75	61	55	50	25	40	20	30	57	40	70	63	75	16	53	0	23	2	2,500,000$
Scratches
1	Taylor Hall			X		100.00	56	52	82	80	68	82	50	61	40	56	66	70	64	90	86	25	15	65	0	33	1	6,000,000$
2	Logan Morrison (R)	X				50.49	45	38	89	90	51	73	63	51	40	52	51	70	40	68	71	80	12	60	0	22	3	575,000$
3	Ryan Ellis				X	100.00	54	41	84	88	47	55	50	69	40	55	53	65	40	90	73	25	16	63	0	33	1	5,500,000$
Farm Team
1	Glenn Gawdin	X				100.00	64	56	75	78	64	79	69	57	70	59	56	59	40	78	79	55	30	62	0	27	1	1,100,000$
2	Garrett Pilon		X			100.00	58	46	86	78	64	71	61	56	40	58	54	70	40	76	74	60	30	61	0	26	1	1,240,000$
3	Pierrick Dube			X		100.00	59	51	74	81	41	75	65	55	40	45	65	70	90	70	73	75	19	61	0	23	3	575,000$
4	Jansen Harkins	X				100.00	79	54	81	75	64	69	74	49	40	47	50	62	99	78	74	55	30	59	0	27	1	1,400,000$
5	Nicholas Caamano			X		100.00	80	60	77	75	70	64	54	42	40	35	49	57	40	76	70	60	30	55	0	26	1	1,240,000$
6	Trevor Kuntar (R)	X				100.00	58	54	58	86	61	79	69	37	70	32	42	65	40	70	75	75	22	55	0	23	3	575,000$
7	Austin Wagner		X			100.00	92	50	63	75	58	60	50	46	40	30	51	60	40	78	69	55	30	54	0	27	1	1,358,500$
8	Carson Golder (R)			X		100.00	53	47	84	87	59	60	50	43	40	43	42	62	40	68	64	80	30	54	0	22	3	575,000$
9	Kyle McDonald (R)		X			100.00	67	61	82	80	73	67	57	43	40	36	51	50	40	68	68	80	30	54	0	22	3	575,000$
10	Evan Barratt	X				100.00	65	72	68	75	55	60	50	43	70	38	48	50	40	74	67	65	30	52	0	25	1	907,500$
11	Daylan Kuefler (R)		X			100.00	66	71	56	84	60	60	50	38	40	35	41	58	40	68	64	80	21	52	0	22	3	575,000$
12	Brady Lyle				X	100.00	72	50	74	75	75	55	50	41	40	36	46	64	40	74	65	65	29	59	0	25	1	935,000$
13	Patrick Sieloff				X	100.00	99	51	68	75	66	55	50	33	40	35	32	60	40	84	70	40	40	59	0	30	2	750,000$
14	Vladislav Kolyachonok				X	100.00	69	48	82	75	65	55	50	42	40	27	57	67	40	70	63	75	44	59	0	23	2	975,000$
15	Frederic Brunet (R)				X	100.00	54	42	81	82	65	55	50	36	40	37	35	69	40	66	61	85	30	58	0	21	3	925,000$
16	Matt Tennyson				X	100.00	76	52	71	75	67	55	50	35	40	41	30	60	40	92	74	20	41	58	0	34	2	750,000$
17	Bode Wilde				X	100.00	67	64	85	75	62	55	50	39	40	31	47	57	90	72	64	70	21	56	0	24	1	1,120,000$
18	Layton Ahac				X	100.00	69	63	81	75	68	73	68	28	40	26	30	50	40	70	72	75	22	56	0	23	3	575,000$
19	Corson Ceulemans				X	100.00	57	50	85	75	62	55	50	37	40	36	38	50	40	66	61	85	30	53	0	21	2	925,000$
20	Shane Bowers			X		100.00	60	58	86	75	55	60	50	38	40	28	49	58	40	74	67	65	20	51	0	25	1	1,120,000$
21	Stelio Mattheos			X		100.00	68	51	69	75	63	60	50	37	40	36	38	50	40	74	67	65	20	50	0	25	1	860,000$
22	Jermaine Loewen		X			100.00	82	86	74	75	79	60	50	28	40	26	30	54	40	76	68	60	20	49	0	26	1	1,000,000$
23	Ethan Keppen		X			100.00	59	51	66	75	67	60	50	32	40	25	39	54	40	70	65	75	18	49	0	23	3	575,000$
24	Cameron Butler (R)			X		100.00	75	72	62	78	77	60	50	31	40	30	33	50	40	68	64	80	20	49	0	22	3	575,000$

	TEAM AVERAGE					98.75	67	55	76	79	64	68	65	48	46	44	50	63	50	76	72	61	24	59

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	Joseph Woll	100.00	83	60	62	92	75	70	68	71	73	75	99	76	73	60	21	72	0	26	3	3,750,000$
Scratches
1	Philipp Grubauer	100.00	88	74	75	85	73	73	74	72	74	72	90	90	82	25	14	75	0	33	3	3,000,000$
Farm Team
1	Kasimir Kaskisuo	100.00	75	50	60	90	52	50	51	52	50	51	53	86	68	35	23	59	0	31	3	575,000$
2	Isaiah Saville (R)	100.00	76	50	60	86	50	50	50	50	50	50	40	72	61	70	41	57	0	24	1	750,000$
3	Mikhail Berdin	100.00	77	50	60	81	50	50	50	50	50	50	73	76	63	60	21	57	0	26	1	1,240,000$

	TEAM AVERAGE	100.00	80	57	63	87	60	59	59	59	59	60	71	80	69	50	24	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jay Woodcroft	64	66	60	71	77	50	76	CAN	48	4	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Shane Pinto	Blackhawks	C	45	18	34	52	-6	36	0	79	139	175	45	108	10.29%	18	969	21.54	5	11	16	42	192	0	0	0	4	81	2	0	50.88%	1303	0	1.07	0	1	0	0	6	2	1
2	Kirill Marchenko	Blackhawks	LW	45	19	25	44	-28	14	0	47	81	174	54	129	10.92%	10	897	19.95	10	10	20	53	183	0	0	0	1	41	1	1	35.77%	123	0	0.98	0	1	0	0	2	2	2
3	David Perron	Blackhawks	LW	45	15	20	35	-4	32	0	78	85	112	29	79	13.39%	10	851	18.91	5	6	11	34	174	0	0	0	0	79	2	0	29.37%	126	0	0.82	1	1	0	0	2	1	1
4	Jackson LaCombe	Blackhawks	D	45	8	16	24	-19	22	0	33	48	76	27	38	10.53%	79	1065	23.69	3	4	7	48	170	0	0	0	0	161	0	0	0.00%	0	0	0.45	0	0	0	0	0	0	3
5	Taylor Hall	Blackhawks	RW	31	9	10	19	-2	15	5	15	35	73	26	44	12.33%	9	544	17.56	1	2	3	10	78	1	0	1	1	60	0	1	32.43%	37	0	0.70	0	1	0	1	2	0	0
6	Kaapo Kakko	Blackhawks	RW	45	7	7	14	-25	4	0	43	27	73	21	53	9.59%	3	832	18.51	1	3	4	13	150	0	0	0	0	5	1	1	23.94%	71	0	0.34	0	1	0	0	1	0	0
7	Jordan Spence	Blackhawks	D	41	6	8	14	-16	48	0	85	38	59	11	28	10.17%	53	819	19.98	3	5	8	36	157	0	0	0	0	92	0	0	0.00%	0	0	0.34	0	0	0	0	0	0	1
8	Jason Zucker	Blackhawks	LW	43	5	9	14	-7	11	5	20	31	56	13	26	8.93%	6	384	8.95	0	2	2	4	17	0	0	0	1	18	3	0	26.32%	19	0	0.73	0	0	1	0	0	0	1
9	Tyson Barrie	Blackhawks	D	45	2	12	14	-23	16	0	44	28	44	16	25	4.55%	41	937	20.83	2	4	6	39	177	0	2	2	0	111	0	0	0.00%	0	0	0.30	0	0	0	0	1	0	1
10	Frederick Gaudreau	Blackhawks	C	44	4	9	13	-27	4	0	11	113	68	31	44	5.88%	23	724	16.47	0	3	3	21	102	0	0	0	2	111	1	0	52.56%	995	0	0.36	0	1	0	0	0	0	1
11	Nicolas Hague	Blackhawks	D	45	3	10	13	-6	112	10	160	34	34	11	25	8.82%	77	997	22.17	0	1	1	12	75	0	0	0	0	145	0	0	0.00%	0	1	0.26	0	0	1	1	0	2	1
12	Derek Grant	Blackhawks	C	24	4	6	10	-3	0	0	4	32	21	3	10	19.05%	2	255	10.66	0	0	0	0	0	1	1	2	1	30	1	0	53.87%	271	0	0.78	0	0	0	0	1	0	0
13	Ryan Ellis	Blackhawks	D	28	2	4	6	-12	8	0	18	22	20	9	7	10.00%	29	410	14.66	0	0	0	4	10	0	0	0	0	58	0	0	0.00%	0	0	0.29	0	0	0	0	0	0	0
14	Samuel Blais	Blackhawks	RW	45	3	3	6	-7	30	0	54	11	21	7	11	14.29%	4	375	8.35	0	0	0	0	3	0	1	1	0	40	1	0	30.00%	50	0	0.32	0	1	0	0	0	1	0
15	Will Cuylle	Blackhawks	RW	45	4	2	6	-19	50	0	107	31	55	17	35	7.27%	4	758	16.85	2	2	4	18	166	0	0	0	1	136	0	0	38.98%	59	0	0.16	0	0	0	0	0	0	1
16	Brett Leason	Blackhawks	LW	44	3	2	5	-4	2	0	9	30	45	13	36	6.67%	7	328	7.48	0	0	0	0	6	0	0	0	1	31	0	0	25.00%	20	0	0.30	0	0	0	0	0	0	0
17	Logan Morrison	Blackhawks	C	41	0	5	5	-7	0	0	1	41	33	2	25	0.00%	4	266	6.51	0	0	0	0	0	0	0	0	0	5	0	0	30.62%	209	0	0.37	0	0	0	0	0	0	0
18	Zachary L'Heureux	Blackhawks	LW	44	2	3	5	-16	17	5	34	42	34	9	20	5.88%	5	310	7.05	0	0	0	1	7	0	0	0	0	8	0	0	26.23%	122	0	0.32	0	0	1	0	0	0	0
19	Tobias Bjornfot	Blackhawks	D	19	1	0	1	-14	22	0	35	4	5	0	0	20.00%	12	232	12.24	0	0	0	0	6	0	0	0	0	19	0	0	0.00%	0	0	0.09	0	0	0	0	0	0	0
20	Pierrick Dube	IceHogs (Chi)	RW	6	1	0	1	0	0	0	1	1	1	1	6	100.00%	0	17	2.91	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	0	1.14	0	0	0	0	0	0	0
21	Dillon Heatherington	Blackhawks	D	17	0	0	0	-10	36	0	43	14	5	3	8	0.00%	15	253	14.89	0	0	0	1	2	0	0	0	0	32	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				787	116	185	301	-255	479	25	921	887	1184	348	757	9.80%	411	12234	15.55	32	53	85	336	1683	2	4	6	12	1273	12	3	46.55%	3407	1	0.49	1	7	3	2	15	8	13

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	PS %	PSA	ST	BG	S1	S2	S3
1	Philipp Grubauer	Blackhawks	33	8	21	1	0.878	4.34	1771	2	0	128	1048	0.000	0	30	13	1	1	2
2	Joseph Woll	Blackhawks	18	4	9	1	0.884	3.98	860	8	1	57	492	0.714	7	14	31	0	2	0
3	Kasimir Kaskisuo	IceHogs (Chi)	5	0	2	1	0.862	6.03	179	2	0	18	130	0.333	3	4	3	0	0	0
Team Total or Average			56	12	32	3	0.878	4.33	2811	12	1	203	1670	0.600	10	48	47	1	3	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	2043	2044	2045	Link
Brett Leason	Blackhawks	LW	25	1999-04-30	No	218 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,120,000$	1,120,000$	531,525$	No	RFA							Link / NHL Link
David Perron	Blackhawks	LW	36	1988-05-28	No	195 Lbs	6 ft0	No	No	Yes	2	Pro Only	5,250,000$	5,250,000$	2,491,525$	No	5,250,000$	UFA						Link / NHL Link
Derek Grant	Blackhawks	C	34	1990-04-20	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	949,153$	No	2,000,000$	UFA						Link / NHL Link
Dillon Heatherington	Blackhawks	D	29	1995-05-09	No	232 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	355,932$	No	750,000$	UFA						Link / NHL Link
Frederick Gaudreau	Blackhawks	C	31	1993-05-01	No	184 Lbs	6 ft0	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	1,186,441$	No	2,500,000$	2,500,000$	UFA					Link / NHL Link
Jackson LaCombe	Blackhawks	D	23	2001-01-09	Yes	205 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	1$	1$	0$	No	750,000$	RFA						NHL Link
Jason Zucker	Blackhawks	LW	32	1992-01-16	No	192 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	1,423,729$	No	3,000,000$	UFA						Link / NHL Link
Jordan Spence	Blackhawks	D	23	2001-02-24	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	438,983$	No	RFA							Link / NHL Link
Joseph Woll	Blackhawks	G	26	1998-07-12	No	203 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	3,750,000$	3,750,000$	1,779,661$	No	3,750,000$	3,750,000$	UFA					Link / NHL Link
Kaapo Kakko	Blackhawks	RW	23	2001-02-13	No	205 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,750,000$	3,750,000$	1,779,661$	No	3,750,000$	3,750,000$	RFA					Link / NHL Link
Kirill Marchenko	Blackhawks	LW	24	2000-07-21	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	355,932$	No	RFA							Link / NHL Link
Logan Morrison (Out of Payroll)	Blackhawks	C	22	2002-07-09	Yes	179 Lbs	6 ft0	No	No	No	3	Pro & Farm	575,000$	575,000$	272,881$	No	575,000$	575,000$	RFA					Link / NHL Link
Nicolas Hague	Blackhawks	D	26	1998-12-05	No	240 Lbs	6 ft6	No	No	Yes	2	Pro & Farm	3,250,000$	3,250,000$	1,542,373$	No	3,250,000$	UFA						Link / NHL Link
Philipp Grubauer	Blackhawks	G	33	1991-11-25	No	180 Lbs	6 ft0	Yes	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	1,423,729$	No	3,000,000$	3,000,000$	UFA					Link / NHL Link
Ryan Ellis	Blackhawks	D	33	1991-01-03	No	180 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	2,610,169$	No	UFA							Link / NHL Link
Samuel Blais	Blackhawks	RW	28	1996-06-17	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,975,000$	1,975,000$	937,288$	No	UFA							Link / NHL Link
Shane Pinto	Blackhawks	C	24	2000-11-12	No	201 Lbs	6 ft3	No	No	Yes	7	Pro Only	7,500,000$	7,500,000$	3,559,322$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$	7,500,000$	7,500,000$	UFA	Link / NHL Link
Taylor Hall	Blackhawks	RW	33	1991-11-14	No	210 Lbs	6 ft1	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	2,847,458$	No	UFA							Link / NHL Link
Tobias Bjornfot	Blackhawks	D	23	2001-04-06	No	200 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	1,186,441$	No	2,500,000$	RFA						Link / NHL Link
Tyson Barrie	Blackhawks	D	33	1991-07-26	No	197 Lbs	5 ft11	No	No	Yes	1	Pro Only	6,100,000$	6,100,000$	2,894,915$	No	UFA							Link / NHL Link
Will Cuylle	Blackhawks	RW	22	2002-02-05	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	711,864$	No	RFA							Link / NHL Link
Zachary L'Heureux	Blackhawks	LW	21	2003-05-15	Yes	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	925,000$	438,983$	No	925,000$	925,000$	RFA					NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.45	201 Lbs	6 ft1	2.14	2,846,364$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
62,620,001$	39,500,000$	22,000,000$	7,500,000$	7,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kirill Marchenko	Shane Pinto	Kaapo Kakko	40	1	2	2
2	David Perron	Frederick Gaudreau	Will Cuylle	30	1	2	2
3	Jason Zucker	Zachary L'Heureux	Brett Leason	20	1	2	2
4		Derek Grant	Samuel Blais	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jackson LaCombe	Nicolas Hague	40	1	2	2
2	Jordan Spence	Tyson Barrie	30	1	2	2
3	Tobias Bjornfot	Dillon Heatherington	20	1	2	2
4	Nicolas Hague	Jackson LaCombe	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kirill Marchenko	Shane Pinto	Kaapo Kakko	60	1	2	2
2	David Perron	Frederick Gaudreau	Will Cuylle	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tyson Barrie	Jordan Spence	60	1	2	2
2	Jason Zucker	Jackson LaCombe	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Frederick Gaudreau	Will Cuylle	60	1	2	2
2	Derek Grant	Brett Leason	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jackson LaCombe	Nicolas Hague	60	1	2	2
2	Tyson Barrie	Dillon Heatherington	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Shane Pinto	60	1	2	2	Jackson LaCombe	Nicolas Hague	60	1	2	2
2	Frederick Gaudreau	40	1	2	2	Tyson Barrie	Dillon Heatherington	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Frederick Gaudreau	Will Cuylle	60	1	2	2
2	Zachary L'Heureux	Kaapo Kakko	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Spence	Nicolas Hague	60	1	2	2
2	Tobias Bjornfot	Jackson LaCombe	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kirill Marchenko	Shane Pinto	Kaapo Kakko	Nicolas Hague	Jackson LaCombe

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kirill Marchenko	Shane Pinto	Brett Leason	Nicolas Hague	Jackson LaCombe

Extra Forwards
Normal	PowerPlay	Penalty Kill
Samuel Blais, Jason Zucker, Will Cuylle	Zachary L'Heureux, Samuel Blais	Samuel Blais

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jordan Spence, Tyson Barrie, Dillon Heatherington	Jackson LaCombe	Jordan Spence, Tyson Barrie

Penalty Shots
Kirill Marchenko, David Perron, Kaapo Kakko, Shane Pinto, Samuel Blais

Goalie
#1 : , #2 : Joseph Woll

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	2	0	1	0	1	0	0	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	1	0	0	0	8	8	0	2	0.500	8	15	23	0	0	3	3	1	1	59	20	15	22	2	88	22	28	52	7	2	28.57%	13	4	69.23%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	42	29	56	15	24	10
2	BlueJacket	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	2	0	0	0	23	7	7	9	0	33	14	16	19	3	0	0.00%	7	1	85.71%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	21	13	24	7	13	6
3	Blues	4	0	4	0	0	0	0	0	9	24	-15	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	12	-8	0	0.000	9	16	25	0	0	5	3	1	0	115	46	27	42	0	178	54	55	96	16	2	12.50%	23	6	73.91%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	81	53	108	31	49	23
4	Bruins	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	31	9	7	15	0	25	14	12	23	9	1	11.11%	5	1	80.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	20	13	27	8	12	5
5	Canadiens	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	3	0	0	0	36	10	4	22	0	16	5	4	23	4	0	0.00%	1	0	100.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	25	18	21	7	12	6
6	Canucks	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	0	0	2	0	31	4	13	14	0	44	11	19	28	6	0	0.00%	7	1	85.71%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	21	13	26	8	11	5
7	Capitals	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	2	0	0	0	21	7	5	9	0	34	10	14	27	6	1	16.67%	7	2	71.43%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	20	13	26	7	12	6
8	Coyotes	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	2	1	0	1	36	16	11	8	8	27	11	21	28	4	1	25.00%	6	0	100.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	27	19	24	7	12	6
9	Ducks	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	6	10	0	0	1	2	1	0	54	18	18	18	0	70	24	24	43	8	1	12.50%	12	2	83.33%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	40	27	54	14	25	11
10	Flames	3	2	1	0	0	0	0	0	10	7	3	2	2	0	0	0	0	0	0	9	2	7	1	0	1	0	0	0	0	0	1	5	-4	4	0.667	10	17	27	0	1	4	5	1	0	95	41	26	28	0	74	21	18	67	20	2	10.00%	9	1	88.89%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	77	54	62	22	40	21
11	Flyers	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	1	0	1	31	10	9	10	2	24	11	8	18	5	1	20.00%	3	0	100.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	22	14	26	7	13	6
12	GoldenKnights	2	1	0	0	0	1	0	0	7	6	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	7	13	20	0	0	2	3	2	0	60	21	17	22	0	72	18	16	44	13	3	23.08%	7	0	100.00%	1	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	43	28	53	16	25	11
13	Hurricanes	2	0	1	0	1	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	1	0	0	0	5	4	1	2	0.500	7	12	19	0	0	3	0	3	1	48	16	14	17	1	74	20	22	54	7	1	14.29%	9	3	66.67%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	38	25	61	15	24	10
14	Islanders	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	4	7	0	0	1	0	2	0	23	11	5	7	0	40	5	12	27	3	1	33.33%	5	2	60.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	21	14	26	7	12	5
15	Jets	3	0	3	0	0	0	0	0	4	16	-12	1	0	1	0	0	0	0	0	1	6	-5	2	0	2	0	0	0	0	0	3	10	-7	0	0.000	4	8	12	0	0	3	1	0	0	82	35	17	30	0	114	37	34	64	15	1	6.67%	16	4	75.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	66	43	75	22	38	17
16	Kings	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	18	5	8	5	0	33	11	17	19	2	0	0.00%	5	2	60.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	18	12	28	7	12	5
17	Lightning	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	17	27	0	0	4	3	3	0	70	32	21	17	0	71	23	24	40	6	2	33.33%	12	3	75.00%	1	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	42	27	51	15	26	13
18	MapleLeafs	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	8	13	0	0	4	0	1	0	28	8	8	12	0	28	11	10	36	7	2	28.57%	5	2	60.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	21	14	25	7	12	5
19	Oilers	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	7	11	0	0	2	1	1	0	68	20	21	27	0	54	19	20	35	13	2	15.38%	10	3	70.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	45	30	48	16	25	11
20	Panthers	2	0	2	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	6	11	17	0	0	1	3	2	0	53	13	18	22	0	107	25	36	51	7	2	28.57%	18	3	83.33%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	35	22	59	16	24	11
21	Penguins	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	11	17	0	0	5	1	0	0	44	15	14	15	0	68	25	22	23	11	1	9.09%	10	1	90.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	35	22	59	16	25	11
22	Predators	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	4	7	11	0	0	1	1	2	0	46	15	14	17	0	80	27	15	42	8	0	0.00%	5	1	80.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	35	22	59	15	24	10
23	Rangers	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	1	1	1	0	22	4	8	10	0	41	17	14	23	3	3	100.00%	7	1	85.71%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	20	13	27	7	12	5
24	Senators	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	6	10	0	0	2	1	1	0	33	14	11	8	0	42	14	14	23	9	2	22.22%	7	4	42.86%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	21	13	25	8	13	6
25	Sharks	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	1	2	0	0	25	9	12	4	0	31	4	6	19	5	2	40.00%	3	1	66.67%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	24	16	21	7	13	6
26	Stars	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	2	0	1	0	25	8	2	15	0	38	4	8	17	2	0	0.00%	4	0	100.00%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	18	11	27	8	13	5
27	Wild	3	0	3	0	0	0	0	0	2	14	-12	2	0	2	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	2	3	5	0	0	0	0	2	0	72	21	21	30	0	93	25	34	61	17	0	0.00%	16	5	68.75%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	64	41	78	23	37	17
	Total	45	9	31	0	3	1	0	1	121	193	-72	22	8	13	0	0	0	0	1	60	85	-25	23	1	18	0	3	1	0	0	61	108	-47	26	0.289	121	212	333	0	1	56	34	28	4	1249	435	353	455	13	1599	482	523	1002	216	33	15.28%	232	53	77.16%	2	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	955	630	1191	350	570	269
	_Since Last GM Reset	45	9	31	0	3	1	0	1	121	193	-72	22	8	13	0	0	0	0	1	60	85	-25	23	1	18	0	3	1	0	0	61	108	-47	26	0.289	121	212	333	0	1	56	34	28	4	1249	435	353	455	13	1599	482	523	1002	216	33	15.28%	232	53	77.16%	2	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	955	630	1191	350	570	269
	_Vs Conference	28	3	22	0	1	1	0	1	65	128	-63	14	3	10	0	0	0	0	1	34	60	-26	14	0	12	0	1	1	0	0	31	68	-37	10	0.179	65	116	181	0	1	27	23	14	2	786	279	222	282	10	996	288	315	615	136	16	11.76%	136	30	77.94%	1	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	607	404	727	217	355	166
	_Vs Division	15	0	14	0	1	0	0	0	30	73	-43	6	0	6	0	0	0	0	0	10	31	-21	9	0	8	0	1	0	0	0	20	42	-22	2	0.067	30	55	85	0	0	14	8	7	1	399	145	96	156	2	591	169	174	332	65	5	7.69%	77	20	74.03%	0	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	308	202	406	117	187	85

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
45	26	W2	121	212	333	1249	1599	482	523	1002	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
45	9	31	3	1	0	1	121	193

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	8	13	0	0	0	1	60	85

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	1	18	3	1	0	0	61	108

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
216	33	15.28%	232	53	77.16%	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
435	353	455	13	56	34	28	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
655	1492	43.90%	805	1771	45.45%	340	727	46.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
955	630	1191	350	570	269

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	Link
2	11	Blackhawks	4	Senators	5	AL			BoxScore
4	26	Blackhawks	2	Blues	7	AL			BoxScore
5	30	MapleLeafs	3	Blackhawks	5	BW			BoxScore
9	49	Blackhawks	1	Wild	6	AL			BoxScore
10	59	Blues	5	Blackhawks	2	BL			BoxScore
15	91	Coyotes	4	Blackhawks	3	BL	X	X	BoxScore
17	103	Blackhawks	2	BlueJacket	3	AL			BoxScore
18	116	Lightning	4	Blackhawks	6	BW			BoxScore
20	123	Ducks	6	Blackhawks	3	BL			BoxScore
22	138	Rangers	2	Blackhawks	3	BW			BoxScore
24	156	Blackhawks	2	Blues	5	AL			BoxScore
25	161	Oilers	3	Blackhawks	1	BL			BoxScore
28	178	Blackhawks	2	Canucks	7	AL			BoxScore
29	182	Blackhawks	3	Oilers	6	AL			BoxScore
31	196	Blackhawks	1	Flames	5	AL			BoxScore
36	228	Hurricanes	3	Blackhawks	2	BL			BoxScore
38	250	Blackhawks	3	Flyers	2	AW	X		BoxScore
40	261	Blackhawks	5	Hurricanes	4	AW	X		BoxScore
42	273	Blues	7	Blackhawks	3	BL			BoxScore
44	287	Kings	7	Blackhawks	2	BL			BoxScore
46	305	Wild	5	Blackhawks	1	BL			BoxScore
49	331	Blackhawks	2	Capitals	7	AL			BoxScore
50	344	Blackhawks	4	Lightning	5	AL			BoxScore
51	349	Blackhawks	4	Panthers	8	AL			BoxScore
54	368	GoldenKnights	1	Blackhawks	3	BW			BoxScore
56	389	Blackhawks	3	Jets	4	AL			BoxScore
58	402	Blackhawks	1	Predators	2	AL			BoxScore
59	407	Flames	0	Blackhawks	5	BW			BoxScore
62	426	Blackhawks	1	Ducks	3	AL			BoxScore
63	439	Blackhawks	4	GoldenKnights	5	AL	X		BoxScore
66	455	Canadiens	1	Blackhawks	3	BW			BoxScore
68	473	Blackhawks	0	Jets	6	AL			BoxScore
69	477	Penguins	1	Blackhawks	3	BW			BoxScore
71	488	Jets	6	Blackhawks	1	BL			BoxScore
73	507	Sharks	6	Blackhawks	3	BL			BoxScore
75	519	Predators	5	Blackhawks	3	BL			BoxScore
77	535	Blackhawks	3	Stars	4	AL			BoxScore
78	542	Blackhawks	3	Avalanche	4	AL			BoxScore
80	560	Panthers	7	Blackhawks	2	BL			BoxScore
81	568	Wild	3	Blackhawks	0	BL			BoxScore
83	586	Blackhawks	5	Avalanche	4	AW	X		BoxScore
86	612	Bruins	4	Blackhawks	2	BL			BoxScore
88	625	Blackhawks	3	Islanders	4	AL			BoxScore
91	649	Blackhawks	3	Penguins	2	AW			BoxScore
92	652	Flames	2	Blackhawks	4	BW			BoxScore
94	670	Predators	-	Blackhawks	-
97	688	GoldenKnights	-	Blackhawks	-
99	707	Blackhawks	-	Devils	-
102	731	Blackhawks	-	Rangers	-
105	751	Capitals	-	Blackhawks	-
107	761	Islanders	-	Blackhawks	-
113	781	Blackhawks	-	Sabres	-
114	792	Blackhawks	-	Wild	-
117	812	Blackhawks	-	Oilers	-
119	826	Canucks	-	Blackhawks	-
122	854	RedWings	-	Blackhawks	-
124	863	Blackhawks	-	Bruins	-
126	879	Devils	-	Blackhawks	-
128	894	BlueJacket	-	Blackhawks	-
130	912	Senators	-	Blackhawks	-
132	927	Blackhawks	-	RedWings	-
134	941	Avalanche	-	Blackhawks	-
136	957	Stars	-	Blackhawks	-
139	979	Blackhawks	-	Ducks	-
142	1004	Blackhawks	-	Kings	-
143	1015	Blackhawks	-	Sharks	-
147	1035	Sabres	-	Blackhawks	-
149	1052	Blackhawks	-	Stars	-
151	1065	Coyotes	-	Blackhawks	-
153	1081	Blackhawks	-	MapleLeafs	-
156	1105	Blackhawks	-	Canadiens	-
158	1118	Canucks	-	Blackhawks	-
161	1138	Flyers	-	Blackhawks	-
163	1151	Blackhawks	-	Avalanche	-
164	1165	Avalanche	-	Blackhawks	-
166	1178	Blackhawks	-	Coyotes	-
168	1194	Blackhawks	-	Sharks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
170	1206	Blackhawks	-	Kings	-
172	1221	Jets	-	Blackhawks	-
174	1240	Blues	-	Blackhawks	-
176	1255	Stars	-	Blackhawks	-
177	1265	Blackhawks	-	Predators	-

Depth Chart

Left Wing

Center

Right Wing

David Perron

AGE:36
SK:		86
EN:		81
DU:		95
PH:		70
PA:		72
SC:		68
DF:		67
Kirill Marchenko

AGE:24
SK:		82
EN:		82
DU:		96
PH:		67
PA:		60
SC:		74
DF:		73
Brett Leason

AGE:25
SK:		75
EN:		77
DU:		89
PH:		58
PA:		53
SC:		63
DF:		82
Jason Zucker

AGE:32
SK:		84
EN:		77
DU:		90
PH:		64
PA:		61
SC:		67
DF:		60
Zachary L'Heureux (R)

AGE:21
SK:		88
EN:		75
DU:		65
PH:		55
PA:		56
SC:		54
DF:		70
Garrett Pilon

AGE:26
SK:		78
EN:		71
DU:		61
PH:		56
PA:		58
SC:		54
DF:		70
Kyle McDonald (R)

AGE:22
SK:		80
EN:		67
DU:		57
PH:		43
PA:		36
SC:		51
DF:		50
Austin Wagner

AGE:27
SK:		75
EN:		60
DU:		50
PH:		46
PA:		30
SC:		51
DF:		60
Daylan Kuefler (R)

AGE:22
SK:		84
EN:		60
DU:		50
PH:		38
PA:		35
SC:		41
DF:		58
Ethan Keppen

AGE:23
SK:		75
EN:		60
DU:		50
PH:		32
PA:		25
SC:		39
DF:		54
Jermaine Loewen

AGE:26
SK:		75
EN:		60
DU:		50
PH:		28
PA:		26
SC:		30
DF:		54

Shane Pinto

AGE:24
SK:		84
EN:		85
DU:		71
PH:		72
PA:		76
SC:		68
DF:		82
Frederick Gaudreau

AGE:31
SK:		79
EN:		78
DU:		89
PH:		54
PA:		52
SC:		56
DF:		69
Glenn Gawdin

AGE:27
SK:		78
EN:		79
DU:		69
PH:		57
PA:		59
SC:		56
DF:		59
Logan Morrison (R)

AGE:22
SK:		90
EN:		73
DU:		63
PH:		51
PA:		52
SC:		51
DF:		70
Derek Grant

AGE:34
SK:		78
EN:		60
DU:		50
PH:		61
PA:		53
SC:		49
DF:		58
Jansen Harkins

AGE:27
SK:		75
EN:		69
DU:		74
PH:		49
PA:		47
SC:		50
DF:		62
Trevor Kuntar (R)

AGE:23
SK:		86
EN:		79
DU:		69
PH:		37
PA:		32
SC:		42
DF:		65
Evan Barratt

AGE:25
SK:		75
EN:		60
DU:		50
PH:		43
PA:		38
SC:		48
DF:		50

Taylor Hall

AGE:33
SK:		80
EN:		82
DU:		50
PH:		61
PA:		56
SC:		66
DF:		70
Will Cuylle

AGE:22
SK:		76
EN:		73
DU:		98
PH:		56
PA:		48
SC:		63
DF:		63
Kaapo Kakko

AGE:23
SK:		78
EN:		77
DU:		85
PH:		58
PA:		48
SC:		67
DF:		67
Samuel Blais

AGE:28
SK:		75
EN:		71
DU:		79
PH:		50
PA:		49
SC:		52
DF:		63
Pierrick Dube

AGE:23
SK:		81
EN:		75
DU:		65
PH:		55
PA:		45
SC:		65
DF:		70
Nicholas Caamano

AGE:26
SK:		75
EN:		64
DU:		54
PH:		42
PA:		35
SC:		49
DF:		57
Carson Golder (R)

AGE:22
SK:		87
EN:		60
DU:		50
PH:		43
PA:		43
SC:		42
DF:		62
Shane Bowers

AGE:25
SK:		75
EN:		60
DU:		50
PH:		38
PA:		28
SC:		49
DF:		58
Stelio Mattheos

AGE:25
SK:		75
EN:		60
DU:		50
PH:		37
PA:		36
SC:		38
DF:		50
Cameron Butler (R)

AGE:22
SK:		78
EN:		60
DU:		50
PH:		31
PA:		30
SC:		33
DF:		50

Defense #1

Defense #2

Goalie

Nicolas Hague

AGE:26
SK:		75
EN:		81
DU:		93
PH:		52
PA:		51
SC:		53
DF:		74
Jackson LaCombe (R)

AGE:23
SK:		76
EN:		82
DU:		92
PH:		55
PA:		57
SC:		53
DF:		77
Jordan Spence

AGE:23
SK:		82
EN:		74
DU:		92
PH:		59
PA:		65
SC:		53
DF:		66
Tyson Barrie

AGE:33
SK:		82
EN:		80
DU:		71
PH:		61
PA:		68
SC:		53
DF:		59
Ryan Ellis

AGE:33
SK:		88
EN:		55
DU:		50
PH:		69
PA:		55
SC:		53
DF:		65
Dillon Heatherington

AGE:29
SK:		75
EN:		64
DU:		59
PH:		33
PA:		30
SC:		36
DF:		69
Vladislav Kolyachonok

AGE:23
SK:		75
EN:		55
DU:		50
PH:		42
PA:		27
SC:		57
DF:		67
Brady Lyle

AGE:25
SK:		75
EN:		55
DU:		50
PH:		41
PA:		36
SC:		46
DF:		64

Patrick Sieloff

AGE:30
SK:		75
EN:		55
DU:		50
PH:		33
PA:		35
SC:		32
DF:		60
Frederic Brunet (R)

AGE:21
SK:		82
EN:		55
DU:		50
PH:		36
PA:		37
SC:		35
DF:		69
Matt Tennyson

AGE:34
SK:		75
EN:		55
DU:		50
PH:		35
PA:		41
SC:		30
DF:		60
Layton Ahac

AGE:23
SK:		75
EN:		73
DU:		68
PH:		28
PA:		26
SC:		30
DF:		50
Bode Wilde

AGE:24
SK:		75
EN:		55
DU:		50
PH:		39
PA:		31
SC:		47
DF:		57
Corson Ceulemans

AGE:21
SK:		75
EN:		55
DU:		50
PH:		37
PA:		36
SC:		38
DF:		50
Tobias Bjornfot

AGE:23
SK:		75
EN:		55
DU:		50
PH:		25
PA:		20
SC:		30
DF:		57

Philipp Grubauer

AGE:33
SK:		88
AG:		73
RB:		73
SC:		74
HS:		72
RT:		74
DF:		72
Joseph Woll

AGE:26
SK:		83
AG:		75
RB:		70
SC:		68
HS:		71
RT:		73
DF:		75
Kasimir Kaskisuo

AGE:31
SK:		75
AG:		52
RB:		50
SC:		51
HS:		52
RT:		50
DF:		51
Isaiah Saville (R)

AGE:24
SK:		76
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Mikhail Berdin

AGE:26
SK:		77
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
Aatos Koivu	Blackhawks	2038	46
Aleksei Kolosov	Blackhawks	2035	96
Alexander Plesovskikh	Blackhawks	2038	167
Aram Minnetian	Blackhawks	2037	131
Artyom Manukyan	Blackhawks	2032	189
Ben Meehan	Blackhawks	2034	165
Clayton Phillips	Blackhawks	2031	127
Danil But	Blackhawks	2037	36
Dean Letourneau	Blackhawks	2038	43
Evan Gardner	Blackhawks	2038	62
Filip Engaras	Blackhawks	2034	196
Fraser Minten	Blackhawks	2036	31
Lane Hutson	Blackhawks	2036	32
Leevi Aaltonen	Blackhawks	2033	128
Leon Muggli	Blackhawks	2038	78
Matvey Guskov	Blackhawks	2033	188
Max Plante	Blackhawks	2038	57
Michael Hage	Blackhawks
Noah Warren	Blackhawks	2036	33
Oliver Kapanen	Blackhawks	2035	60
Rutger Mcgroarty	Blackhawks	2036	17
Vladislav Yeryomenko	Blackhawks	2032	129
Yegor Spiridonov	Blackhawks	2033	148
Yevgeni Volokhin	Blackhawks	2037	95

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

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	A.J. Thelen	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	Chris Osgood	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
2038	45	9	31	0	3	1	0	1	121	193	-72	22	8	13	0	0	0	0	1	60	85	-25	23	1	18	0	3	1	0	0	61	108	-47	26	121	212	333	0	1	56	34	28	4	1249	435	353	455	13	1599	482	523	1002	216	33	15.28%	232	53	77.16%	2	655	1492	43.90%	805	1771	45.45%	340	727	46.77%	955	630	1191	350	570	269
Total Regular Season	1603	616	729	0	52	44	70	92	5005	5401	-396	801	318	348	0	24	24	39	48	2533	2642	-109	802	298	381	0	28	20	31	44	2472	2759	-287	1509	5005	8656	13661	23	60	160	1678	1660	1399	49335	1289	16001	16587	15088	51940	15602	24329	36477	7422	1393	18.77%	8255	1652	79.99%	92	27535	54326	50.68%	27372	56548	48.40%	13037	25938	50.26%	36583	23981	38645	12894	22119	10852
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	Brian Rolston	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	Chris Osgood	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