Blackhawks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Barracudas 2-16-0, 4pts	1	FINAL	9	IceHogs 12-5-1, 25pts

Team Stats
L6	Streak	W5
2-7-0	Home Record	6-3-0
0-9-0	Away Record	6-2-1
1-9-0	Last 10 Games	6-3-1
2.44	Goals Per Game	5.06
6.56	Goals Against Per Game	2.22
24.39%	Power Play Percentage	27.27%
74.29%	Penalty Kill Percentage	85.48%

Heat
15-3-0, 30pts

FINAL

IceHogs
12-5-1, 25pts

Team Stats
W1	Streak	W5
8-1-0	Home Record	6-3-0
7-2-0	Away Record	6-2-1
8-2-0	Last 10 Games	6-3-1
5.67	Goals Per Game	5.06
2.56	Goals Against Per Game	2.22
31.91%	Power Play Percentage	27.27%
87.69%	Penalty Kill Percentage	85.48%

Team Leaders
	Goals Marc McLaughlin 21	Assists Kiefer Sherwood 23

	Points Kiefer Sherwood 32	Plus/Minus Skyler McKenzie 25

	Wins Martin Jones 10	Save Percentage Martin Jones 0.912

Team Stats
Goals For 91 5.06 GFG	Shots For 723 40.17 Avg	Power Play Percentage 27.3% 15 GF	Offensive Zone Start 43.0%
Goals Against 40 2.22 GAA	Shots Against 424 23.56 Avg	Penalty Kill Percentage 85.5% 9 GA	Defensive Zone Start 34.8%

Team Info
	General Manager	Mark
	Coach	D.J. Smith
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	12
	Farm Team	18
	Contract Limit	30 / 50
	Prospects	49

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	Kiefer Sherwood		X	X		100.00	76	43	99	72	67	52	73	63	25	59	59	66	25	55	56	64	50	61	0	27	2	800,000$
2	Glenn Gawdin	X				100.00	70	71	67	64	71	70	72	64	80	64	60	62	57	44	44	63	50	61	0	25	1	925,000$
3	Marc McLaughlin (R)	X				100.00	79	44	79	71	74	57	42	53	40	50	72	58	25	45	45	66	50	58	0	23	1	925,000$
4	Carsen Twarynski (R)		X			100.00	79	73	93	63	73	57	60	50	50	48	46	63	44	45	45	55	50	55	0	25	1	775,833$
5	Skyler McKenzie		X			100.00	65	54	90	66	54	62	65	54	50	46	57	57	54	44	44	58	50	55	0	24	1	750,000$
6	Dylan Coghlan (R)				X	100.00	76	44	90	73	72	65	70	67	25	52	48	72	25	55	55	61	50	65	0	24	2	1,100,000$
7	Wyatt Kalynuk (R)				X	100.00	69	68	71	72	68	66	69	55	25	49	46	60	44	46	46	56	50	59	0	25	2	1,775,000$
8	Mitch Vande Sompel (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	50	54	0	25	1	935,833$
9	Ville Pokka				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	50	54	0	28	1	750,000$
Scratches

	TEAM AVERAGE					100.00	69	56	78	66	65	60	62	57	45	53	55	61	43	49	49	59	50	58

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	Martin Jones	100.00	62	72	71	80	66	58	83	65	65	62	92	68	68	67	50	67	0	32	1	900,000$
2	Colton Point (R)	100.00	45	46	58	95	45	45	45	50	45	45	45	44	44	46	50	51	0	24	1	925,000$
Scratches
1	Kaden Fulcher (R)	100.00	44	42	53	80	45	44	45	49	45	45	45	44	44	45	50	49	0	24	0	0$

	TEAM AVERAGE	100.00	50	53	61	85	52	49	58	55	52	51	61	52	52	53	50	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
D.J. Smith	88	80	82	81	65	60	82	CAN	44	2	1,500,000$

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	HT	P/20	PSS	FW	S1	S2	S3
1	Kiefer Sherwood	IceHogs (CHI)	LW/RW	18	9	23	32	22	8	0	36	40	101	25	68	8.91%	6	368	20.48	0	5	5	8	37	0	0	0	1	42	1	0	53.57%	28	1	1.74	1	0	1	2	1
2	Glenn Gawdin	IceHogs (CHI)	C	18	21	9	30	19	17	5	43	39	98	23	67	21.43%	6	355	19.74	2	1	3	12	31	1	0	1	4	41	3	0	75.12%	414	3	1.69	1	1	3	2	2
3	Skyler McKenzie	IceHogs (CHI)	LW	18	11	19	30	25	2	0	13	31	80	29	52	13.75%	7	316	17.56	2	2	4	4	27	0	0	0	0	28	2	0	73.68%	19	0	1.90	0	0	0	2	5
4	Marc McLaughlin	IceHogs (CHI)	C	14	21	9	30	22	14	0	48	33	94	22	62	22.34%	9	260	18.59	2	1	3	10	25	0	0	0	1	26	3	0	56.27%	279	4	2.31	1	0	6	2	0
5	Simon Benoit	IceHogs (CHI)	D	18	5	20	25	18	40	0	73	15	41	16	34	12.20%	14	362	20.15	5	2	7	24	41	0	1	1	2	34	1	0	25.00%	4	0	1.38	0	0	0	2	2
6	Ville Pokka	IceHogs (CHI)	D	18	4	14	18	12	8	0	46	9	33	10	14	12.12%	21	320	17.79	1	2	3	17	36	0	0	0	0	47	0	1	100.00%	1	0	1.12	0	0	0	0	1
7	Mitch Vande Sompel	IceHogs (CHI)	D	18	0	15	15	15	8	0	25	12	22	5	15	0.00%	13	301	16.75	0	3	3	9	29	0	0	0	1	39	0	0	0.00%	0	0	1.00	0	0	0	0	0
8	Wyatt Kalynuk	IceHogs (CHI)	D	18	4	9	13	16	14	0	14	4	27	6	15	14.81%	10	366	20.35	2	6	8	17	42	0	0	0	1	40	1	1	0.00%	0	0	0.71	0	0	1	0	0
9	Carsen Twarynski	IceHogs (CHI)	LW	14	8	2	10	-1	8	0	55	26	78	20	79	10.26%	16	277	19.82	0	0	0	0	11	0	0	0	0	20	0	0	62.50%	32	0	0.72	0	0	0	2	0
10	Dylan Sikura	IceHogs (CHI)	LW/RW	1	5	0	5	4	2	0	2	2	6	1	4	83.33%	0	15	15.40	1	0	1	1	3	0	0	0	0	0	0	0	0.00%	0	1	6.49	0	0	1	0	0
Team Total or Average				155	88	120	208	152	121	5	355	211	580	157	410	15.17%	102	2943	18.99	15	22	37	102	286	1	1	2	10	322	11	2	66.80%	777	9	1.41	3	1	12	12	11

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	PS %	PSA	ST	BG	S1
1	Martin Jones	IceHogs (CHI)	14	10	3	1	0.912	1.99	845	1	28	318	1	0.667	3	14	0	1
2	Colton Point	IceHogs (CHI)	4	2	2	0	0.896	2.75	240	1	11	106	1	0.000	0	4	18	0
Team Total or Average			18	12	5	1	0.908	2.16	1085	2	39	424	2	0.667	3	18	18	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Link
Carsen Twarynski	IceHogs (CHI)	LW	25	1997-11-24	Yes	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,833$	775,833$	0$	0$	No		Link / NHL Link
Colton Point	IceHogs (CHI)	G	24	1998-03-04	Yes	230 Lbs	6 ft5	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Link / NHL Link
Dylan Coghlan	IceHogs (CHI)	D	24	1998-02-19	Yes	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,100,000$	1,100,000$	0$	0$	No	1,100,000$	Link / NHL Link
Glenn Gawdin	IceHogs (CHI)	C	25	1997-03-25	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Link / NHL Link
Kaden Fulcher	IceHogs (CHI)	G	24	1998-09-23	Yes	201 Lbs	6 ft3	No	No	No	0	Pro & Farm			0$	0$	No		Link
Kiefer Sherwood	IceHogs (CHI)	LW/RW	27	1995-03-31	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	Link / NHL Link
Marc McLaughlin	IceHogs (CHI)	C	23	1999-07-26	Yes	205 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Link
Martin Jones	IceHogs (CHI)	G	32	1990-01-10	No	190 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No		Link / NHL Link
Mitch Vande Sompel	IceHogs (CHI)	D	25	1997-02-11 10:37:52 AM	Yes	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	935,833$	935,833$	0$	0$	No
Skyler McKenzie	IceHogs (CHI)	LW	24	1998-01-20	No	154 Lbs	5 ft8	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No		Link / NHL Link
Ville Pokka	IceHogs (CHI)	D	28	1994-06-03 10:45:39 AM	No	214 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No
Wyatt Kalynuk	IceHogs (CHI)	D	25	1997-04-14	Yes	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
12	25.50	194 Lbs	6 ft1	1.17	880,139$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Glenn Gawdin		40	1	2	2
2	Skyler McKenzie	Marc McLaughlin		30	1	2	2
3	Carsen Twarynski			20	1	2	2
4	Kiefer Sherwood	Glenn Gawdin	Marc McLaughlin	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Simon Benoit	Wyatt Kalynuk	40	1	2	2
2	Ville Pokka	Mitch Vande Sompel	30	1	2	2
3			20	1	2	2
4	Simon Benoit	Wyatt Kalynuk	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Glenn Gawdin		60	1	2	2
2	Skyler McKenzie	Marc McLaughlin		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Simon Benoit	Wyatt Kalynuk	60	1	2	2
2	Ville Pokka	Mitch Vande Sompel	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Glenn Gawdin	Kiefer Sherwood	60	1	2	2
2	Marc McLaughlin	Skyler McKenzie	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Simon Benoit	Wyatt Kalynuk	60	1	2	2
2	Ville Pokka	Mitch Vande Sompel	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Glenn Gawdin	60	1	2	2	Simon Benoit	Wyatt Kalynuk	60	1	2	2
2	Kiefer Sherwood	40	1	2	2	Ville Pokka	Mitch Vande Sompel	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Glenn Gawdin	Kiefer Sherwood	60	1	2	2
2	Marc McLaughlin	Skyler McKenzie	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Simon Benoit	Wyatt Kalynuk	60	1	2	2
2	Ville Pokka	Mitch Vande Sompel	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kiefer Sherwood	Glenn Gawdin		Simon Benoit	Wyatt Kalynuk

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kiefer Sherwood	Glenn Gawdin		Simon Benoit	Wyatt Kalynuk

Extra Forwards
Normal	PowerPlay	Penalty Kill
Carsen Twarynski, Skyler McKenzie, Marc McLaughlin	Carsen Twarynski, Skyler McKenzie	Marc McLaughlin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ville Pokka, Mitch Vande Sompel, Simon Benoit	Ville Pokka	Mitch Vande Sompel, Simon Benoit

Penalty Shots
Glenn Gawdin, Kiefer Sherwood, Marc McLaughlin, Skyler McKenzie, Carsen Twarynski

Goalie
#1 : Martin Jones, #2 : Colton Point

Custom OT Lines Forwards
Glenn Gawdin, Kiefer Sherwood, Marc McLaughlin, Skyler McKenzie, Carsen Twarynski, , , , , ,

Custom OT Lines Defensemen
Simon Benoit, Wyatt Kalynuk, Ville Pokka, Mitch Vande Sompel,

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	Americans	2	0	2	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	2	2	4	0	0	40	19	31	1	53	230	230	256	10	68	24	10	45	9	1	11.11%	5	2	60.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
2	Barracudas	2	2	0	0	0	0	0	0	19	2	17	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	10	1	9	4	1.000	19	28	47	0	0	40	19	31	1	108	230	230	256	10	46	10	4	40	3	3	100.00%	2	0	100.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
3	Condors	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	40	19	31	1	38	230	230	256	10	59	12	37	34	13	1	7.69%	15	2	86.67%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
4	Eagles	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	6	3	3	4	1.000	17	29	46	0	0	40	19	31	1	115	230	230	256	10	26	7	10	44	4	1	25.00%	4	0	100.00%	1	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
5	Gulls	2	1	0	0	1	0	0	0	11	4	7	1	1	0	0	0	0	0	0	7	1	6	1	0	0	0	1	0	0	0	4	3	1	4	1.000	11	17	28	0	0	40	19	31	1	75	230	230	256	10	41	16	12	44	5	3	60.00%	6	0	100.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
6	Heat	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	5	8	13	0	0	40	19	31	1	66	230	230	256	10	52	15	10	53	8	2	25.00%	5	2	60.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
7	Reign	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	1	0	1	2	0.500	3	4	7	0	1	40	19	31	1	41	230	230	256	10	59	26	30	33	2	0	0.00%	14	3	78.57%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
8	Roadrunners	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	8	1	7	4	1.000	15	25	40	0	0	40	19	31	1	131	230	230	256	10	35	10	8	42	5	1	20.00%	4	0	100.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
9	Sound Tigers	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	11	20	0	0	40	19	31	1	41	230	230	256	10	16	6	4	29	0	0	0.00%	2	0	100.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
10	Wolf Pack	1	1	0	0	0	0	0	0	8	0	8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	0	8	2	1.000	8	14	22	0	1	40	19	31	1	55	230	230	256	10	22	3	10	32	6	3	50.00%	5	0	100.00%	0	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
	Total	18	11	5	0	1	0	0	1	91	40	51	9	6	3	0	0	0	0	0	49	22	27	9	5	2	0	1	0	0	1	42	18	24	25	0.694	91	141	232	0	2	40	19	31	1	723	230	230	256	10	424	129	135	396	55	15	27.27%	62	9	85.48%	1	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
	_Since Last GM Reset	18	11	5	0	1	0	0	1	91	40	51	9	6	3	0	0	0	0	0	49	22	27	9	5	2	0	1	0	0	1	42	18	24	25	0.694	91	141	232	0	2	40	19	31	1	723	230	230	256	10	424	129	135	396	55	15	27.27%	62	9	85.48%	1	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
	_Vs Conference	16	9	5	0	1	0	0	1	74	38	36	8	5	3	0	0	0	0	0	40	20	20	8	4	2	0	1	0	0	1	34	18	16	21	0.656	74	116	190	0	1	40	19	31	1	627	230	230	256	10	386	120	121	335	49	12	24.49%	55	9	83.64%	1	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101
	_Vs Division	4	0	2	0	0	0	0	0	32	6	26	2	0	1	0	0	0	0	0	18	2	16	2	0	1	0	0	0	0	0	14	4	10	0	0.000	32	54	86	0	0	40	19	31	1	246	230	230	256	10	61	17	18	86	9	2	22.22%	8	0	100.00%	1	285	526	54.18%	233	426	54.69%	161	271	59.41%	555	437	343	95	185	101

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	25	W5	91	141	232	723	424	129	135	396	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	11	5	1	0	0	1	91	40

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	49	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	2	1	0	0	1	42	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
55	15	27.27%	62	9	85.48%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
230	230	256	10	40	19	31	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
285	526	54.18%	233	426	54.69%	161	271	59.41%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
555	437	343	95	185	101

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
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2022-11-21	9	IceHogs	8	Wolf Pack	0	AW			BoxScore
2 - 2022-11-22	18	Americans	5	IceHogs	1	BL			BoxScore
3 - 2022-11-23	41	Sound Tigers	2	IceHogs	9	BW			BoxScore
5 - 2022-11-25	50	IceHogs	1	Americans	4	AL			BoxScore
6 - 2022-11-26	70	Eagles	1	IceHogs	11	BW			BoxScore
7 - 2022-11-27	89	IceHogs	6	Eagles	3	AW			BoxScore
8 - 2022-11-28	95	IceHogs	4	Gulls	3	AW	X		BoxScore
9 - 2022-11-29	110	IceHogs	1	Reign	0	AW			BoxScore
10 - 2022-11-30	125	Gulls	1	IceHogs	7	BW			BoxScore
11 - 2022-12-01	148	Reign	4	IceHogs	2	BL			BoxScore
13 - 2022-12-03	163	IceHogs	2	Heat	3	AL	X	X	BoxScore
14 - 2022-12-04	173	IceHogs	2	Condors	3	AL			BoxScore
15 - 2022-12-05	191	Condors	5	IceHogs	0	BL			BoxScore
16 - 2022-12-06	212	Roadrunners	1	IceHogs	7	BW			BoxScore
17 - 2022-12-07	224	IceHogs	8	Roadrunners	1	AW			BoxScore
19 - 2022-12-09	240	IceHogs	10	Barracudas	1	AW			BoxScore
20 - 2022-12-10	256	Barracudas	1	IceHogs	9	BW			BoxScore
22 - 2022-12-12	276	Heat	2	IceHogs	3	BW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,456,166$	1,456,166$	0$

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

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

IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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	PSG	PSS

IceHogs Goalies Stat Leaders (Play-Off)

Show or Hide Column

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

	IceHogs
	GP: 18 \| W: 12 \| L: 5 \| OTL: 1 \| P: 25 GF: 91 \| GA: 40 \| PP%: 27.27% \| PK%: 85.48% GM : Mark \| Morale : 50 \| Team Overall : 59