Rockford IceHogs
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension

Chicago Blackhawks
0-0-0, 0pts

Day 2

Colorado Avalanche
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Colorado Avalanche
0-0-0, 0pts

Day 3

Chicago Blackhawks
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Utah Mammoth
0-0-0, 0pts

Day 5

Chicago Blackhawks
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Sam Bureau
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	United Center
	Capacity	19,000
	Attendance
	Season Tickets	17,670
Roster Info
	Pro Team	20
	Farm Team	30
	Contract Limit	50 / 60
	Prospects	10
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	95,500,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	20
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	20,000,000$
	Projected Bank Account	20,000,000$

Show or Hide Columns

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	TA	SP	Age	Contract	Salary
1	Seth Jarvis	X	X	X		100.00	75	42	92	94	76	89	82	89	61	81	86	84	90	63	53	0	53	81		0	23	5	7,420,087$
2	Charlie Coyle	X				100.00	77	41	81	77	85	88	93	84	75	78	79	83	80	88	78	0	53	80	X	0	33	1	5,250,000$
3	Mikael Granlund	X				100.00	70	41	80	82	72	89	92	87	73	84	77	75	82	88	78	0	53	80	X	0	33	3	7,000,000$
4	Jason Zucker		X	X		100.00	75	62	67	78	76	85	93	84	55	79	79	69	80	89	79	0	53	78	X	0	33	2	4,750,000$
5	Ryan McLeod	X				100.00	69	41	92	85	81	87	84	83	78	78	77	81	82	68	58	0	53	78		0	25	4	5,000,000$
6	Christian Dvorak	X				100.00	66	40	89	77	77	86	85	77	86	73	70	74	74	82	72	0	53	75		0	29	1	5,400,000$
7	Kaapo Kakko			X		100.00	70	42	79	76	86	85	85	81	55	75	75	70	77	73	63	0	53	75		0	24	3	4,525,000$
8	Bobby Brink			X		100.00	72	41	87	86	70	83	79	78	48	75	71	68	78	62	53	0	53	73		0	24	1	1,500,000$
9	Luke Evangelista			X		100.00	67	42	87	80	78	84	77	81	40	76	72	67	78	59	50	0	53	73		0	23	1	0$
10	Victor Olofsson		X	X		100.00	65	40	89	79	73	83	84	78	40	72	74	68	76	76	66	0	53	73		0	30	1	0$
11	Marco Kasper	X				100.00	72	41	73	79	72	76	71	76	64	74	76	74	75	56	50	0	53	72		0	21	2	886,667$
12	Evander Kane		X			100.00	72	63	55	66	74	76	83	77	46	67	70	61	71	90	77	0	53	70		0	33	1	5,125,000$
13	Darnell Nurse				X	100.00	76	67	66	80	86	90	91	86	40	79	72	91	79	85	81	0	53	82		0	30	5	9,250,000$
14	Jake Sanderson				X	100.00	68	42	92	92	86	93	79	88	42	83	77	92	86	59	50	0	53	82		0	23	5	8,050,000$
15	Adam Pelech				X	100.00	71	46	76	75	84	91	88	76	40	76	62	87	71	84	74	0	53	78		0	30	4	5,750,000$
16	Kaiden Guhle				X	100.00	75	66	69	86	86	89	77	77	40	73	70	87	77	59	50	0	53	78		0	23	5	5,550,000$
17	Hampus Lindholm				X	100.00	61	46	72	73	87	91	83	73	40	70	67	77	71	87	77	0	53	75		0	31	5	6,500,000$
18	Simon Edvinsson				X	100.00	70	52	65	78	82	78	72	74	40	78	70	85	73	56	50	0	53	75		0	22	1	894,167$
Scratches
Farm Team
1	Kevin Labanc		X	X		100.00	69	43	82	74	74	81	81	70	44	70	64	64	70	82	72	0	50	69		0	29	1	0$
2	Austin Watson		X			100.00	69	71	53	66	74	74	76	66	43	63	62	66	65	87	67	0	50	66		0	33	1	775,000$
3	Cole Schwindt			X		100.00	70	41	82	71	77	73	72	66	70	65	60	66	66	59	53	0	50	66		0	24	1	825,000$
4	Chris Wagner	X		X		100.00	68	56	75	69	70	72	76	64	61	57	59	63	64	79	69	0	50	65		0	34	1	0$
5	Alex Limoges	X				100.00	62	40	73	67	64	68	66	64	44	64	60	62	64	55	50	0	50	62		0	27	1	0$
6	Arshdeep Bains		X			100.00	63	42	70	68	62	65	63	64	44	65	57	65	63	52	50	0	50	62		0	24	2	775,000$
7	John Farinacci	X				100.00	61	40	73	65	63	66	64	63	49	63	56	62	61	52	50	0	50	61		0	24	1	775,000$
8	Sam Morton	X				100.00	56	41	72	65	63	66	64	62	57	59	58	54	62	52	50	0	50	60		0	25	1	775,000$
9	Skyler Brind'Amour	X				100.00	55	43	68	63	62	66	64	60	42	54	57	51	60	52	50	0	50	58		0	26	1	775,000$
10	Lucas Edmonds			X		100.00	56	41	72	67	58	63	61	58	42	53	53	55	59	52	50	0	50	57		0	24	1	0$
11	Matthew Sop		X			100.00	59	40	67	62	59	60	58	57	41	55	54	59	58	50	50	0	50	57		0	22	1	0$
12	Kasper Halttunen			X		100.00	63	40	62	58	65	55	53	55	40	54	54	57	56	50	50	0	50	56		0	20	3	876,666$
13	Kaedan Korczak				X	100.00	65	41	80	73	83	82	71	68	40	68	60	70	67	62	53	0	50	69		0	24	5	825,000$
14	Albert Johansson				X	100.00	67	41	72	78	69	77	69	68	40	63	62	71	69	53	50	0	50	68		0	24	2	1,125,000$
15	Ethan Del Mastro				X	100.00	67	42	75	71	80	77	65	67	40	64	62	67	66	55	50	0	50	67		0	22	1	855,833$
16	Kale Clague				X	100.00	55	44	67	70	62	70	67	66	40	63	60	66	65	65	51	0	50	64		0	27	1	775,000$
17	Scott Morrow				X	100.00	59	42	67	71	70	70	61	65	40	62	63	65	66	51	50	0	50	64		0	22	1	916,667$
18	Domenick Fensore				X	100.00	54	42	68	73	54	63	61	64	40	62	58	65	65	51	50	0	50	62		0	23	1	775,000$
19	Tomas Tatar		X	X		100.00	72	43	89	76	69	83	95	75	53	72	69	69	73	90	80	0	50	73		0	34	1	0$
20	Trevor Lewis	X	X	X		100.00	77	42	88	73	77	81	92	73	69	67	68	73	71	92	82	0	50	73		0	38	1	0$
21	Aku Raty			X		100.00	60	43	68	65	64	64	63	62	43	62	55	57	61	51	50	0	50	60		0	24	1	0$
22	Patrick Giles			X		100.00	66	44	66	60	71	66	64	59	42	53	55	60	58	53	50	0	50	59		0	25	1	775,000$
23	Parker Ford	X				100.00	56	44	65	66	61	64	61	62	43	56	57	53	62	52	50	0	50	58		0	25	2	812,500$
24	Declan Carlile				X	100.00	63	44	66	69	63	66	65	63	40	58	57	68	63	53	50	0	50	63		0	25	1	775,000$
25	Wyatt Newpower				X	100.00	62	47	62	62	68	66	63	59	40	53	53	63	57	55	50	0	50	60		0	27	1	0$
26	Scott Harrington				X	100.00	53	41	65	56	59	65	64	54	40	51	51	56	54	60	53	0	50	57		0	32	1	0$

	TEAM AVERAGE					100.00	66	45	74	73	72	76	74	71	49	67	65	69	69	66	59	0	51	69

Show or Hide Columns

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	Calvin Pickard	100.00	81	86	86	79	86	83	78	82	82	84	75	86	77	0	53	77	0	33	1	1,000,000$
2	Arturs Silovs	100.00	74	69	70	79	73	71	70	68	72	72	67	56	52	0	53	66	0	24	1	850,000$
Scratches
Farm Team
1	Nico Daws	100.00	74	68	71	73	72	71	73	70	72	73	60	60	51	0	50	66	0	24	1	812,500$
2	Thomas Milic	100.00	68	60	61	61	64	64	66	63	66	64	59	50	50	0	50	59	0	22	2	841,667$
3	Mitchell Weeks	100.00	69	61	63	64	65	64	66	63	65	66	55	52	50	0	50	60	0	24	1	0$
4	Will Cranley	100.00	59	57	57	63	59	57	56	54	57	59	54	51	50	0	50	54	0	23	1	775,000$

	TEAM AVERAGE	100.00	71	67	68	70	70	68	68	67	69	70	62	59	55	0	51	64

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Pelech	Chicago Blackhawks	D	30	1994-08-16	CAN	No	210 Lbs	6 ft3	No	No	Assign Manually	No	No	4	2025-05-26	False	False	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$	5,750,000$	5,750,000$	-	-	-	-	-	-	5,750,000$	5,750,000$	5,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Arturs Silovs	Chicago Blackhawks	G	24	2001-03-22	LVA	No	203 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	850,000$	850,000$	850,000$	850,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Bobby Brink	Chicago Blackhawks	RW	24	2001-07-08	USA	No	169 Lbs	5 ft8	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Calvin Pickard	Chicago Blackhawks	G	33	1992-04-15	CAN	No	206 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Charlie Coyle	Chicago Blackhawks	C	33	1992-03-02	USA	No	215 Lbs	6 ft3	No	Yes	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	5,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Christian Dvorak	Chicago Blackhawks	C	29	1996-02-02	USA	No	190 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-07-02	False	False	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	5,400,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Darnell Nurse	Chicago Blackhawks	D	30	1995-02-04	CAN	No	215 Lbs	6 ft4	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	9,250,000$	9,250,000$	9,250,000$	9,250,000$	No	9,250,000$	9,250,000$	9,250,000$	9,250,000$	-	-	-	-	-	9,250,000$	9,250,000$	9,250,000$	9,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Evander Kane	Chicago Blackhawks	LW	33	1991-08-02	CAN	No	218 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2025-07-22	False	False	Pro & Farm	5,125,000$	5,125,000$	5,125,000$	5,125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Hampus Lindholm	Chicago Blackhawks	D	31	1994-01-20	SWE	No	224 Lbs	6 ft4	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Jake Sanderson	Chicago Blackhawks	D	23	2002-07-08	USA	No	204 Lbs	6 ft2	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	8,050,000$	8,050,000$	8,050,000$	8,050,000$	No	8,050,000$	8,050,000$	8,050,000$	8,050,000$	-	-	-	-	-	8,050,000$	8,050,000$	8,050,000$	8,050,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Jason Zucker	Chicago Blackhawks	LW/RW	33	1992-01-16	USA	No	195 Lbs	5 ft11	No	Yes	Assign Manually	No	No	2	2025-06-29	False	False	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	4,750,000$	No	4,750,000$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kaapo Kakko	Chicago Blackhawks	RW	24	2001-02-13	FIN	No	215 Lbs	6 ft1	No	No	Assign Manually	No	No	3	2025-07-22	False	False	Pro & Farm	4,525,000$	4,525,000$	4,525,000$	4,525,000$	No	4,525,000$	4,525,000$	-	-	-	-	-	-	-	4,525,000$	4,525,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Kaiden Guhle	Chicago Blackhawks	D	23	2002-01-18	CAN	No	202 Lbs	6 ft3	No	No	Assign Manually	No	No	5	2025-07-03	False	False	Pro & Farm	5,550,000$	5,550,000$	5,550,000$	5,550,000$	No	5,550,000$	5,550,000$	5,550,000$	5,550,000$	-	-	-	-	-	5,550,000$	5,550,000$	5,550,000$	5,550,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Luke Evangelista	Chicago Blackhawks	RW	23	2002-02-21	CAN	No	183 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Marco Kasper	Chicago Blackhawks	C	21	2004-04-08	AUT	No	183 Lbs	6 ft1	No	No	Assign Manually	No	No	2	2025-05-26	False	False	Pro & Farm	886,667$	886,667$	886,667$	886,667$	No	886,667$	-	-	-	-	-	-	-	-	886,667$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Mikael Granlund	Chicago Blackhawks	C	33	1992-02-26	FIN	No	185 Lbs	5 ft10	No	Yes	Assign Manually	No	No	3	2025-07-02	False	False	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	-	-	-	-	-	-	-	7,000,000$	7,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Ryan McLeod	Chicago Blackhawks	C	25	1999-09-21	CAN	No	188 Lbs	6 ft3	No	No	Assign Manually	No	No	4	2025-07-02	False	False	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Seth Jarvis	Chicago Blackhawks	C/LW/RW	23	2002-02-01	CAN	No	184 Lbs	5 ft10	No	No	Assign Manually	No	No	5	2025-05-26	False	False	Pro & Farm	7,420,087$	7,420,087$	7,420,087$	7,420,087$	No	7,420,087$	7,420,087$	7,420,087$	7,420,087$	-	-	-	-	-	7,420,087$	7,420,087$	7,420,087$	7,420,087$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Simon Edvinsson	Chicago Blackhawks	D	22	2003-02-05	SWE	No	209 Lbs	6 ft6	No	No	Assign Manually	No	No	1	2025-05-26	False	False	Pro & Farm	894,167$	894,167$	894,167$	894,167$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Victor Olofsson	Chicago Blackhawks	LW/RW	30	1995-07-18	SWE	No	180 Lbs	5 ft11	No	No	Assign Manually	No	No	1	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	27.35	199 Lbs	6 ft1	2.60	4,235,046$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
84,700,921$	64,681,754$	59,045,087$	47,520,087$	36,770,087$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Seth Jarvis	Mikael Granlund	Kaapo Kakko	40	0	1	4
2	Jason Zucker	Ryan McLeod	Marco Kasper	30	1	1	3
3	Bobby Brink	Charlie Coyle	Luke Evangelista	25	1	2	2
4	Evander Kane	Christian Dvorak	Victor Olofsson	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Simon Edvinsson	Jake Sanderson	45	1	2	2
2	Kaiden Guhle	Darnell Nurse	35	1	2	2
3	Adam Pelech	Hampus Lindholm	20	1	2	2
4	Simon Edvinsson	Jake Sanderson	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Seth Jarvis	Mikael Granlund	Jason Zucker	50	1	2	2
2	Charlie Coyle	Ryan McLeod	Kaapo Kakko	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Sanderson	Darnell Nurse	50	1	2	2
2	Jake Sanderson	Simon Edvinsson	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan McLeod	Seth Jarvis	50	1	4	0
2	Christian Dvorak	Charlie Coyle	50	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Sanderson	Darnell Nurse	50	1	4	0
2	Adam Pelech	Kaiden Guhle	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Charlie Coyle	50	1	4	0	Jake Sanderson	Darnell Nurse	50	1	4	0
2	Ryan McLeod	50	1	4	0	Adam Pelech	Kaiden Guhle	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mikael Granlund	Seth Jarvis	50	1	2	2
2	Ryan McLeod	Jason Zucker	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Sanderson	Simon Edvinsson	50	1	2	2
2	Kaiden Guhle	Darnell Nurse	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Seth Jarvis	Charlie Coyle	Jason Zucker	Jake Sanderson	Darnell Nurse

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Seth Jarvis	Ryan McLeod	Charlie Coyle	Jake Sanderson	Darnell Nurse

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jason Zucker, Charlie Coyle, Victor Olofsson	Charlie Coyle, Luke Evangelista	Marco Kasper

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Darnell Nurse, Adam Pelech, Simon Edvinsson	Adam Pelech	Adam Pelech, Simon Edvinsson

Penalty Shots
Seth Jarvis, Mikael Granlund, Ryan McLeod, Jake Sanderson, Charlie Coyle

Goalie
#1 : Calvin Pickard, #2 : Arturs Silovs

Custom OT Lines Forwards
Seth Jarvis, Mikael Granlund, Jason Zucker, Ryan McLeod, Charlie Coyle, Kaapo Kakko, Luke Evangelista, Bobby Brink, Marco Kasper, Christian Dvorak

Custom OT Lines Defensemen
Jake Sanderson, Kaiden Guhle, Darnell Nurse, Simon Edvinsson, Adam Pelech

Show or Hide Columns

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Columns

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
2	13	Chicago Blackhawks	-	Colorado Avalanche	-
3	26	Colorado Avalanche	-	Chicago Blackhawks	-
5	48	Utah Mammoth	-	Chicago Blackhawks	-
6	60	Chicago Blackhawks	-	Winnipeg Jets	-
8	71	Chicago Blackhawks	-	Minnesota Wild	-
9	83	St. Louis Blues	-	Chicago Blackhawks	-
12	106	Chicago Blackhawks	-	Nashville Predators	-
13	117	Minnesota Wild	-	Chicago Blackhawks	-
15	136	Dallas Stars	-	Chicago Blackhawks	-
16	145	Chicago Blackhawks	-	Utah Mammoth	-
20	172	Nashville Predators	-	Chicago Blackhawks	-
21	184	Chicago Blackhawks	-	St. Louis Blues	-
Trade Deadline --- Trades can’t be done after this day is simulated!
25	206	Winnipeg Jets	-	Chicago Blackhawks	-
26	210	Chicago Blackhawks	-	Dallas Stars	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	2000
Ticket Price	90	60	45	30	190
Attendance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
7	0 - 0%	0$	0$	19000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
0$	84,700,921$	84,700,921$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	28	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	20,000,000$	20,000,000$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	95,500,000$	95,500,000$	-70,600,000$

Depth Chart

Left Wing

Center

Right Wing

Seth Jarvis	AGE:23	PO:0	OV:81
Jason Zucker	AGE:33	PO:0	OV:78
Tomas Tatar	AGE:34	PO:0	OV:73
Trevor Lewis	AGE:38	PO:0	OV:73
Victor Olofsson	AGE:30	PO:0	OV:73
Evander Kane	AGE:33	PO:0	OV:70
Kevin Labanc	AGE:29	PO:0	OV:69
Austin Watson	AGE:33	PO:0	OV:66
Arshdeep Bains	AGE:24	PO:0	OV:62
Matthew Sop	AGE:22	PO:0	OV:57

Seth Jarvis	AGE:23	PO:0	OV:81
Charlie Coyle	AGE:33	PO:0	OV:80
Mikael Granlund	AGE:33	PO:0	OV:80
Ryan McLeod	AGE:25	PO:0	OV:78
Christian Dvorak	AGE:29	PO:0	OV:75
Trevor Lewis	AGE:38	PO:0	OV:73
Marco Kasper	AGE:21	PO:0	OV:72
Chris Wagner	AGE:34	PO:0	OV:65
Alex Limoges	AGE:27	PO:0	OV:62
John Farinacci	AGE:24	PO:0	OV:61
Sam Morton	AGE:25	PO:0	OV:60
Parker Ford	AGE:25	PO:0	OV:58
Skyler Brind'Amour	AGE:26	PO:0	OV:58

Seth Jarvis	AGE:23	PO:0	OV:81
Jason Zucker	AGE:33	PO:0	OV:78
Kaapo Kakko	AGE:24	PO:0	OV:75
Bobby Brink	AGE:24	PO:0	OV:73
Luke Evangelista	AGE:23	PO:0	OV:73
Tomas Tatar	AGE:34	PO:0	OV:73
Trevor Lewis	AGE:38	PO:0	OV:73
Victor Olofsson	AGE:30	PO:0	OV:73
Kevin Labanc	AGE:29	PO:0	OV:69
Cole Schwindt	AGE:24	PO:0	OV:66
Chris Wagner	AGE:34	PO:0	OV:65
Aku Raty	AGE:24	PO:0	OV:60
Patrick Giles	AGE:25	PO:0	OV:59
Lucas Edmonds	AGE:24	PO:0	OV:57
Kasper Halttunen	AGE:20	PO:0	OV:56

Defense #1

Defense #2

Goalie

Darnell Nurse	AGE:30	PO:0	OV:82
Jake Sanderson	AGE:23	PO:0	OV:82
Adam Pelech	AGE:30	PO:0	OV:78
Kaiden Guhle	AGE:23	PO:0	OV:78
Hampus Lindholm	AGE:31	PO:0	OV:75
Simon Edvinsson	AGE:22	PO:0	OV:75
Kaedan Korczak	AGE:24	PO:0	OV:69
Albert Johansson	AGE:24	PO:0	OV:68

Ethan Del Mastro	AGE:22	PO:0	OV:67
Kale Clague	AGE:27	PO:0	OV:64
Scott Morrow	AGE:22	PO:0	OV:64
Declan Carlile	AGE:25	PO:0	OV:63
Domenick Fensore	AGE:23	PO:0	OV:62
Wyatt Newpower	AGE:27	PO:0	OV:60
Scott Harrington	AGE:32	PO:0	OV:57

Calvin Pickard	AGE:33	PO:0	OV:77
Arturs Silovs	AGE:24	PO:0	OV:66
Nico Daws	AGE:24	PO:0	OV:66
Mitchell Weeks	AGE:24	PO:0	OV:60
Thomas Milic	AGE:22	PO:0	OV:59
Will Cranley	AGE:23	PO:0	OV:54

Prospects

Show or Hide Columns

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	Information	Link
Cameron Reid	Chicago Blackhawks	2025	61	Fantasy Draft	Link
Dmitri Buchelnikov	Chicago Blackhawks	2025	68	Fantasy Draft	Link
Eric Pohlkamp	Chicago Blackhawks	2025	196	Fantasy Draft	Link
James Hagens	Chicago Blackhawks	2025	4	Fantasy Draft	Link
Kieron Walton	Chicago Blackhawks	2025	189	Fantasy Draft	Link
L.J. Mooney	Chicago Blackhawks	2025	132	Fantasy Draft	Link
Michal Svrcek	Chicago Blackhawks	2025	260	Fantasy Draft	Link
Quinn Finley	Chicago Blackhawks	2025	253	Fantasy Draft	Link
Ryan Chesley	Chicago Blackhawks	2025	125	Fantasy Draft	Link
Simon Forsmak	Chicago Blackhawks	2025	317	Fantasy Draft	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Conditional Draft Picks

Disponibilités chez les Hawks!

By Sam Bureau (Chicago Blackhawks) On Friday 25th July 2025 / 10:38am

JOUEURS DISPONIBLES

Mikael Granlund

Détails du joueur: https://nghl.xyz/PlayerReport.php?Player=1072

💰 Salaire: 7M$ - Je retiens 25% (1.75M$)
📈 Coût pour vous: 5.25M$

Charlie Coyle

Détails du joueur: https://nghl.xyz/PlayerReport.php?Player=272

💰 Salaire: 5.25M$ - Je retiens 50% (2.625M$)
📈 Coût pour vous: 2.625M$

Jason Zucker

Détails du joueur: https://nghl.xyz/PlayerReport.php?Player=691

💰 Salaire: 4.75M$ - Je retiens 50% (2.375M$)
📈 Coût pour vous: 2.375M$

CE QUE JE RECHERCHE

Choix de 1ère ronde ou prospect équivalent

New Comment

Chicago Blackhawks Trade History

No Injury or Suspension.

Chicago Blackhawks Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Chicago Blackhawks Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Chicago Blackhawks Career Team Stats

Show or Hide Columns

	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

Chicago Blackhawks Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Chicago Blackhawks Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Chicago Blackhawks
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Sam Bureau \| Morale : 50 \| Team Overall : 76 Next Games #13 vs Colorado Avalanche