Chicago Blackhawks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Admirals 4-0-0, 8pts	8	Box score	0	IceHogs 0-3-0, 0pts

Team Stats
W4	Streak	L3
1-0-0	Home Record	0-2-0
3-0-0	Home Record	0-1-0
4-0-0	Last 10 Games	0-3-0
5.25	Goals Per Game	0.67
0.50	Goals Against Per Game	5.67
23.81%	Power Play Percentage	9.09%
100.00%	Penalty Kill Percentage	64.29%

IceHogs
0-3-0, 0pts

Box score

Admirals
4-0-0, 8pts

Team Stats
L3	Streak	W4
0-2-0	Home Record	1-0-0
0-1-0	Home Record	3-0-0
0-3-0	Last 10 Games	4-0-0
0.67	Goals Per Game	5.25
5.67	Goals Against Per Game	0.50
9.09%	Power Play Percentage	23.81%
64.29%	Penalty Kill Percentage	100.00%

IceHogs
0-3-0, 0pts

2026-10-31

Moose
2-2-0, 4pts

Team Stats
L3	Streak	L2
0-2-0	Home Record	0-0-0
0-1-0	Away Record	2-2-0
0-3-0	Last 10 Games	2-2-0
0.67	Goals Per Game	2.75
5.67	Goals Against Per Game	2.75
9.09%	Power Play Percentage	0.00%
64.29%	Penalty Kill Percentage	84.62%

IceHogs
0-3-0, 0pts

2026-11-01

Moose
2-2-0, 4pts

Team Stats
L3	Streak	L2
0-2-0	Home Record	0-0-0
0-1-0	Away Record	2-2-0
0-3-0	Last 10 Games	2-2-0
0.67	Goals Per Game	2.75
5.67	Goals Against Per Game	2.75
9.09%	Power Play Percentage	0.00%
64.29%	Penalty Kill Percentage	84.62%

IceHogs
0-3-0, 0pts

2026-11-06

Griffins
3-1-0, 6pts

Team Stats
L3	Streak	W3
0-2-0	Home Record	2-1-0
0-1-0	Away Record	1-0-0
0-3-0	Last 10 Games	3-1-0
0.67	Goals Per Game	4.75
5.67	Goals Against Per Game	4.75
9.09%	Power Play Percentage	21.05%
64.29%	Penalty Kill Percentage	81.25%

Team Leaders

Team Stats
Goals For 2 0.67 GFG	Shots For 45 15.00 Avg	Power Play Percentage 9.1% 1 GF	Offensive Zone Start 22.8%
Goals Against 17 5.67 GAA	Shots Against 124 41.33 Avg	Penalty Kill Percentage 64.3%% 5 GA	Defensive Zone Start 52.8%

Team Info
	General Manager	Joanick Boilard
	Coach	Dan Bylsma
	Division	MidOuest
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,806
	Season Tickets	300
Roster Info
	Pro Team	17
	Farm Team	19
	Contract Limit	36 / 250
	Prospects	3

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	SP	Age	Contract	Salary
1	Ville Koivunen	0			X		100.00	60	39	76	67	71	83	87	69	74	68	62	61	65	63	65	71	50	65	0	23	3	900,000$
2	Cole Eiserman (R)	0		X			100.00	64	37	95	67	73	82	63	68	72	69	57	59	66	62	60	84	50	63	0	20	4	900,000$
3	Landen Hookey	0	X				100.00	82	45	70	56	91	67	78	53	58	54	55	59	52	62	64	45	50	59	0	22	2	300,000$
4	Tristan Allard	0	X				100.00	68	42	72	58	77	74	81	55	60	57	56	59	54	64	66	43	50	59	0	24	1	300,000$
5	Austin Brimmer	0			X		100.00	82	45	71	55	91	72	64	54	57	52	50	58	51	65	67	42	50	58	0	25	2	300,000$
6	Borya Valis	0			X		100.00	70	39	79	56	79	77	82	54	51	53	55	57	52	63	64	45	50	58	0	22	2	300,000$
7	Gleb Veremyev	0	X				100.00	78	42	78	55	87	71	65	54	59	52	53	56	51	63	65	45	50	58	0	23	1	300,000$
8	Max McCue	0	X				100.00	65	47	53	58	74	64	73	55	57	56	54	59	55	63	65	49	50	58	0	23	1	300,000$
9	Sawyer Boulton	0			X		100.00	77	71	52	57	76	60	65	54	50	52	52	55	58	62	64	43	50	56	0	22	1	300,000$
10	Marek Alscher	0				X	100.00	76	41	80	62	85	83	80	58	30	60	53	64	47	62	65	63	50	65	0	22	3	300,000$
11	Atro Leppanen	0				X	100.00	62	38	83	64	71	78	80	63	30	66	58	62	53	68	70	36	50	64	0	27	2	300,000$
12	Zachary Hayes	0				X	100.00	78	63	73	55	87	63	75	54	30	52	53	57	45	67	69	37	50	60	0	27	1	300,000$
13	Charlie Wright	0				X	100.00	64	36	95	55	73	62	72	54	30	53	51	56	45	63	65	45	50	58	0	22	1	300,000$
Scratches

	TEAM AVERAGE						100.00	71	45	75	59	80	72	74	57	51	57	55	59	53	64	65	50	50	60

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	Vadim Zherenko	0	100.00	75	85	81	76	74	73	75	74	73	75	74	65	73	47	50	73	0	25	1	300,000$
2	William Rousseau	0	100.00	69	73	69	76	68	67	69	68	67	69	68	63	69	44	50	67	0	23	1	300,000$
Scratches
1	Logan Terness	0	100.00	73	71	67	73	72	71	73	72	71	73	72	64	71	43	50	70	0	24	2	300,000$
2	Isak Posch	0	100.00	64	82	78	85	63	62	64	63	62	64	63	64	71	43	50	66	0	24	2	300,000$

	TEAM AVERAGE		100.00	70	78	74	78	69	68	70	69	68	70	69	64	71	44	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Bylsma	75	77	80	81	82	77	66	USA	55	6	1,000,000$

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	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	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	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
Atro Leppanen	IceHogs (Chi)	D	27	1998-12-14	FIN	No	183 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2026-09-12	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Austin Brimmer	IceHogs (Chi)	RW	25	2001-08-10	CAN	No	223 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2026-09-17	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Borya Valis	IceHogs (Chi)	RW	22	2004-04-08	USA	No	195 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2026-09-01	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Charlie Wright	IceHogs (Chi)	D	22	2003-10-22	CAN	No	179 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-23	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cole Eiserman	IceHogs (Chi)	LW	20	2006-08-29	USA	Yes	195 Lbs	6 ft0	No	No	Trade	2026-09-09	No	No	4	2026-06-15	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Gleb Veremyev	IceHogs (Chi)	C	23	2003-06-28	USA	No	205 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-08-18	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Isak Posch	IceHogs (Chi)	G	24	2002-01-31	SWE	No	209 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2026-09-02	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Landen Hookey	IceHogs (Chi)	C	22	2004-01-29	CAN	No	222 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2026-09-14	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Logan Terness	IceHogs (Chi)	G	24	2002-09-18	CAN	No	174 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2026-09-03	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Marek Alscher	IceHogs (Chi)	D	22	2004-04-07	CZE	No	206 Lbs	6 ft3	No	No	Trade	2026-10-02	No	No	3	2025-06-18	False	False	Pro & Farm	300,000$	0$	0$	No	300,000$	300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Max McCue	IceHogs (Chi)	C	23	2003-02-10	CAN	No	182 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-23	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sawyer Boulton	IceHogs (Chi)	RW	22	2004-07-12	USA	No	209 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-08-27	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tristan Allard	IceHogs (Chi)	C	24	2002-06-23	CAN	No	200 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-22	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vadim Zherenko	IceHogs (Chi)	G	25	2001-03-15	RUS	No	176 Lbs	6 ft2	No	No	Trade	2025-12-27	No	No	1		False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ville Koivunen	IceHogs (Chi)	RW	23	2003-06-13	FIN	No	184 Lbs	6 ft0	No	No	Trade	2026-09-19	No	No	3	2025-06-19	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
William Rousseau	IceHogs (Chi)	G	23	2003-01-09	CAN	No	193 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-18	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zachary Hayes	IceHogs (Chi)	D	27	1999-04-24	CAN	No	219 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2026-08-25	False	False	Pro & Farm	300,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	23.41	197 Lbs	6 ft2	1.76	370,588$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

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	RI
1	Admirals	2	0	2	0	0	0	0	0	0	12	-12	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	1	1	0	0	22	19	15	11	0	88	31	18	34	6	0	0.00%	9	3	66.67%	0	12	44	27.27%	21	102	20.59%	10	47	21.28%	36	23	114	21	28	10
2	Griffins	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	23	19	15	11	0	36	7	8	17	5	1	20.00%	5	2	60.00%	0	12	44	27.27%	21	102	20.59%	10	47	21.28%	36	23	114	21	28	10
	Total	3	0	3	0	0	0	0	0	2	17	-15	2	0	2	0	0	0	0	0	2	13	-11	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	4	6	0	0	1	1	0	0	45	19	15	11	0	124	38	26	51	11	1	9.09%	14	5	64.29%	0	12	44	27.27%	21	102	20.59%	10	47	21.28%	36	23	114	21	28	10
	_Since Last GM Reset	3	0	3	0	0	0	0	0	2	17	-15	2	0	2	0	0	0	0	0	2	13	-11	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	4	6	0	0	1	1	0	0	45	19	15	11	0	124	38	26	51	11	1	9.09%	14	5	64.29%	0	12	44	27.27%	21	102	20.59%	10	47	21.28%	36	23	114	21	28	10
	_Vs Conference	3	0	3	0	0	0	0	0	2	17	-15	2	0	2	0	0	0	0	0	2	13	-11	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	4	6	0	0	1	1	0	0	45	19	15	11	0	124	38	26	51	11	1	9.09%	14	5	64.29%	0	12	44	27.27%	21	102	20.59%	10	47	21.28%	36	23	114	21	28	10

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
3	0	L3	2	4	6	45	124	38	26	51	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	2	17

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	4

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	3	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
11	1	9.09%	14	5	64.29%	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
19	15	11	0	1	1	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 %
12	44	27.27%	21	102	20.59%	10	47	21.28%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
36	23	114	21	28	10

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	ST	Link
9 - 2026-10-17	19	Griffins	5	IceHogs	2	L	Box score
15 - 2026-10-23	38	Admirals	8	IceHogs	0	L	Box score
16 - 2026-10-24	49	IceHogs	0	Admirals	4	L	Box score
23 - 2026-10-31	83	IceHogs	-	Moose	-
24 - 2026-11-01	95	IceHogs	-	Moose	-
29 - 2026-11-06	115	IceHogs	-	Griffins	-
30 - 2026-11-07	130	Wolves	-	IceHogs	-
36 - 2026-11-13	154	Griffins	-	IceHogs	-
37 - 2026-11-14	164	Wild	-	IceHogs	-
41 - 2026-11-18	182	IceHogs	-	Griffins	-
43 - 2026-11-20	196	Moose	-	IceHogs	-
45 - 2026-11-22	218	IceHogs	-	Wolves	-
47 - 2026-11-24	222	Stars	-	IceHogs	-
50 - 2026-11-27	236	IceHogs	-	Stars	-
51 - 2026-11-28	250	IceHogs	-	Stars	-
57 - 2026-12-04	275	Wolves	-	IceHogs	-
58 - 2026-12-05	285	IceHogs	-	Admirals	-
59 - 2026-12-06	297	IceHogs	-	Wolves	-
62 - 2026-12-09	303	IceHogs	-	Phantoms	-
64 - 2026-12-11	308	IceHogs	-	Wolfpack	-
65 - 2026-12-12	326	IceHogs	-	Thunderbirds	-
69 - 2026-12-16	348	IceHogs	-	Wild	-
72 - 2026-12-19	368	Wild	-	IceHogs	-
73 - 2026-12-20	378	Admirals	-	IceHogs	-
75 - 2026-12-22	385	IceHogs	-	Wild	-
78 - 2026-12-25	403	IceHogs	-	Moose	-
80 - 2026-12-27	423	IceHogs	-	Moose	-
85 - 2027-01-01	435	Wild	-	IceHogs	-
86 - 2027-01-02	445	IceHogs	-	Wild	-
89 - 2027-01-05	462	Wild	-	IceHogs	-
93 - 2027-01-09	489	IceHogs	-	Wolves	-
94 - 2027-01-10	496	IceHogs	-	Wolves	-
97 - 2027-01-13	505	Stars	-	IceHogs	-
100 - 2027-01-16	530	Stars	-	IceHogs	-
101 - 2027-01-17	539	Admirals	-	IceHogs	-
106 - 2027-01-22	564	IceHogs	-	Wild	-
107 - 2027-01-23	570	IceHogs	-	Wild	-
111 - 2027-01-27	596	IceHogs	-	Admirals	-
114 - 2027-01-30	622	Wolves	-	IceHogs	-
118 - 2027-02-03	637	IceHogs	-	Griffins	-
120 - 2027-02-05	654	Wolves	-	IceHogs	-
121 - 2027-02-06	670	Admirals	-	IceHogs	-
127 - 2027-02-12	684	IceHogs	-	Stars	-
128 - 2027-02-13	700	IceHogs	-	Stars	-
131 - 2027-02-16	708	Admirals	-	IceHogs	-
134 - 2027-02-19	727	Wolves	-	IceHogs	-
135 - 2027-02-20	737	Thunderbirds	-	IceHogs	-
137 - 2027-02-22	757	IceHogs	-	Wild	-
141 - 2027-02-26	775	Wild	-	IceHogs	-
142 - 2027-02-27	786	Phantoms	-	IceHogs	-
143 - 2027-02-28	797	IceHogs	-	Wolves	-
148 - 2027-03-05	821	IceHogs	-	Roadrunners	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06	838	IceHogs	-	Roadrunners	-
155 - 2027-03-12	865	Wild	-	IceHogs	-
156 - 2027-03-13	879	Stars	-	IceHogs	-
162 - 2027-03-19	908	Wolfpack	-	IceHogs	-
163 - 2027-03-20	919	Griffins	-	IceHogs	-
164 - 2027-03-21	928	IceHogs	-	Admirals	-
167 - 2027-03-24	941	Moose	-	IceHogs	-
169 - 2027-03-26	948	IceHogs	-	Griffins	-
170 - 2027-03-27	968	IceHogs	-	Griffins	-
173 - 2027-03-30	981	Wolves	-	IceHogs	-
176 - 2027-04-02	997	Moose	-	IceHogs	-
177 - 2027-04-03	1012	Moose	-	IceHogs	-
183 - 2027-04-09	1043	IceHogs	-	Griffins	-
184 - 2027-04-10	1058	Griffins	-	IceHogs	-
190 - 2027-04-16	1086	Roadrunners	-	IceHogs	-
191 - 2027-04-17	1101	Roadrunners	-	IceHogs	-
192 - 2027-04-18	1110	IceHogs	-	Admirals	-
195 - 2027-04-21	1118	Griffins	-	IceHogs	-
197 - 2027-04-23	1132	Griffins	-	IceHogs	-
198 - 2027-04-24	1146	IceHogs	-	Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	3,738	1,873
Attendance PCT	93.45%	93.65%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
34	2806 - 93.52%	69,927$	139,854$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
96,301$	63,000$	63,000$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	5,851$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,377,518$	181	5,342$	966,902$

IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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

	IceHogs
	GP: 3 \| W: 0 \| L: 3 \| OTL: 0 \| P: 0 GF: 2 \| GA: 17 \| PP%: 9.09% \| PK%: 64.29% GM : Joanick Boilard \| Morale : 50 \| Team Overall : 62 Next Games #83 vs Moose