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

Game Center
	Tomahawks 31-19-3, 65pts	4	FINAL	3	Lions 16-34-6, 38pts

Team Stats
W3	Streak	OTL1
13-13-2	Home Record	8-16-3
18-6-1	Home Record	8-18-3
7-3-0	Last 10 Games	3-5-2
5.06	Goals Per Game	3.45
5.02	Goals Against Per Game	4.57
17.46%	Power Play Percentage	26.40%
78.29%	Penalty Kill Percentage	78.76%

Nordiks
28-26-2, 58pts

FINAL

Tomahawks
31-19-3, 65pts

Team Stats
W1	Streak	W3
14-11-2	Home Record	13-13-2
14-15-0	Home Record	18-6-1
4-6-0	Last 10 Games	7-3-0
5.55	Goals Per Game	5.06
5.29	Goals Against Per Game	5.02
23.53%	Power Play Percentage	17.46%
68.94%	Penalty Kill Percentage	78.29%

Tomahawks
31-19-3, 65pts

Day 117

Nordiks
28-26-2, 58pts

Team Stats
W3	Streak	W1
13-13-2	Home Record	14-11-2
18-6-1	Away Record	14-15-0
7-3-0	Last 10 Games	4-6-0
5.06	Goals Per Game	5.55
5.02	Goals Against Per Game	5.55
17.46%	Power Play Percentage	23.53%
78.29%	Penalty Kill Percentage	68.94%

Lynx
37-9-7, 81pts

Day 118

Tomahawks
31-19-3, 65pts

Team Stats
L1	Streak	W3
22-4-2	Home Record	13-13-2
15-5-5	Away Record	18-6-1
8-2-0	Last 10 Games	7-3-0
4.75	Goals Per Game	5.06
3.53	Goals Against Per Game	5.06
20.45%	Power Play Percentage	17.46%
77.34%	Penalty Kill Percentage	78.29%

Aces
33-16-4, 70pts

Day 121

Tomahawks
31-19-3, 65pts

Team Stats
W3	Streak	W3
18-10-0	Home Record	13-13-2
15-6-4	Away Record	18-6-1
9-1-0	Last 10 Games	7-3-0
3.66	Goals Per Game	5.06
3.19	Goals Against Per Game	5.06
20.17%	Power Play Percentage	17.46%
83.54%	Penalty Kill Percentage	78.29%

Team Leaders

Team Stats
Goals For 268 5.06 GFG	Shots For 2709 51.11 Avg	Power Play Percentage 17.5% 22 GF	Offensive Zone Start 42.6%
Goals Against 266 5.02 GAA	Shots Against 2405 45.38 Avg	Penalty Kill Percentage 78.3%% 28 GA	Defensive Zone Start 38.4%

Team Info
	General Manager	Gavin Steidele
	Coach	Jeremy Roenick
	Division	Pacific
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	15
	Farm Team	19
	Contract Limit	34 / 50
	Prospects	21

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	Brendan Gallagher			X		100.00	66	60	73	72	64	74	88	76	50	64	68	58	52	75	73	0	63	65	0	32	1	500,000$
2	Morgan Barron		X	X		100.00	76	61	88	70	79	67	89	76	59	59	61	74	50	63	66	0	63	65	0	26	3	500,000$
3	Sam Lafferty	X	X	X		100.00	81	57	85	69	74	70	89	75	58	62	64	64	51	70	68	0	63	65	0	29	4	500,000$
4	Derek Ryan	X				100.00	67	54	93	67	65	66	81	67	72	60	53	71	66	86	81	0	63	63	0	38	1	500,000$
5	Kevin Rooney	X				100.00	75	54	96	63	68	66	59	61	64	55	54	76	50	74	75	0	63	61	0	31	1	500,000$
6	Kevin Labanc			X		100.00	72	56	84	69	65	69	66	70	50	62	50	57	62	67	66	0	63	60	0	29	2	500,000$
7	Zach Dean (R)	X				100.00	52	57	77	57	62	50	52	50	59	50	50	50	50	56	59	0	63	51	0	22	3	500,000$
8	Isak Rosen (R)			X		100.00	50	50	89	57	60	50	51	50	50	50	50	50	50	55	56	0	63	50	0	21	3	500,000$
9	Braden Schneider				X	100.00	79	58	89	63	76	69	93	66	50	60	51	71	56	60	64	0	63	65	0	23	3	500,000$
10	Adam Boqvist				X	100.00	56	50	99	68	67	71	63	66	50	64	50	64	55	62	63	0	63	61	0	24	1	500,000$
11	Jared Spurgeon				X	100.00	59	55	92	66	57	61	58	59	50	62	50	71	55	81	80	0	63	61	0	35	2	2,000,000$
12	Jamie Drysdale				X	100.00	64	57	87	65	65	73	63	65	50	61	54	62	56	58	60	0	63	60	0	22	3	500,000$
13	Shakir Mukhamadullin (R)				X	100.00	50	46	40	52	64	51	55	50	50	50	50	50	55	59	64	0	63	51	0	23	3	500,000$
Scratches

	TEAM AVERAGE					100.00	65	55	84	64	67	64	70	64	55	58	54	63	54	67	67	0	63	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	Arvid Soderblom	100.00	64	76	71	70	67	66	67	66	64	50	50	62	63	0	77	64	0	25	3	500,000$
2	Kenneth Appleby	100.00	50	60	59	80	50	52	50	50	50	50	50	69	69	0	76	56	0	29	1	500,000$
Scratches

	TEAM AVERAGE	100.00	57	68	65	75	59	59	59	58	57	50	50	66	66	0	77	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Roenick	88	88	89	88	66	66	1	USA	54	6	500,000$

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	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
Adam Boqvist	Tomahawks (CHI)	D	24	2000-08-15	SWE	No	189 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Arvid Soderblom	Tomahawks (CHI)	G	25	1999-08-19	SWE	No	180 Lbs	6 ft3	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Braden Schneider	Tomahawks (CHI)	D	23	2001-09-20	CAN	No	211 Lbs	6 ft3	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Brendan Gallagher	Tomahawks (CHI)	RW	32	1992-05-06	CAN	No	183 Lbs	5 ft9	No	No	Free Agent	No	No	1	2024-09-11	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Derek Ryan	Tomahawks (CHI)	C	38	1986-12-29	USA	No	185 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Isak Rosen	Tomahawks (CHI)	RW	21	2003-03-15	SWE	Yes	173 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jamie Drysdale	Tomahawks (CHI)	D	22	2002-04-08	CAN	No	185 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Jared Spurgeon	Tomahawks (CHI)	D	35	1989-11-29	CAN	No	166 Lbs	5 ft9	No	No	N/A	No	No	2		False	False	Pro & Farm	2,000,000$	200,000$	68,571$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kenneth Appleby	Tomahawks (CHI)	G	29	1995-04-10	CAN	No	216 Lbs	6 ft5	No	No	Free Agent	No	No	1	2024-09-12	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kevin Labanc	Tomahawks (CHI)	RW	29	1995-12-12	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kevin Rooney	Tomahawks (CHI)	C	31	1993-05-21	USA	No	190 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-09-12	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Morgan Barron	Tomahawks (CHI)	LW/RW	26	1998-12-02	CAN	No	220 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Sam Lafferty	Tomahawks (CHI)	C/LW/RW	29	1995-03-06	USA	No	205 Lbs	6 ft2	No	No	N/A	No	No	4	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Shakir Mukhamadullin	Tomahawks (CHI)	D	23	2002-01-10	RUS	Yes	178 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Zach Dean	Tomahawks (CHI)	C	22	2003-01-04	CAN	Yes	176 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	500,000$	50,000$	17,143$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
15	27.27	189 Lbs	6 ft1	2.27	600,000$

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
1	Aces	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	16	24	0	0	111	82	69	6	74	890	912	894	19	56	24	12	35	7	2	28.57%	5	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
2	Admirals	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	111	82	69	6	43	890	912	894	19	70	21	8	19	1	0	0.00%	4	1	75.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
3	Americiens	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	111	82	69	6	41	890	912	894	19	61	19	6	19	2	1	50.00%	3	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
4	Barons	3	0	2	0	1	0	0	0	6	12	-6	2	0	1	0	1	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	5	-3	2	0.333	6	12	18	0	0	111	82	69	6	129	890	912	894	19	70	24	21	69	6	0	0.00%	8	2	75.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
5	Barracuda	3	2	0	0	1	0	0	0	17	14	3	2	1	0	0	1	0	0	0	15	13	2	1	1	0	0	0	0	0	0	2	1	1	6	1.000	17	34	51	0	0	111	82	69	6	155	890	912	894	19	180	51	20	83	8	2	25.00%	10	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
6	Broncos	2	1	1	0	0	0	0	0	13	12	1	1	0	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	7	5	2	2	0.500	13	25	38	0	0	111	82	69	6	110	890	912	894	19	82	22	8	63	5	1	20.00%	4	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
7	Bruins	3	2	0	0	0	1	0	0	15	13	2	0	0	0	0	0	0	0	0	0	0	0	3	2	0	0	0	1	0	0	15	13	2	5	0.833	15	30	45	0	0	111	82	69	6	124	890	912	894	19	134	30	16	65	4	2	50.00%	7	2	71.43%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
8	Butter Knives	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	111	82	69	6	54	890	912	894	19	51	15	6	30	4	0	0.00%	3	1	66.67%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
9	Canucks	3	1	1	0	1	0	0	0	12	11	1	1	0	1	0	0	0	0	0	3	5	-2	2	1	0	0	1	0	0	0	9	6	3	4	0.667	12	23	35	1	0	111	82	69	6	135	890	912	894	19	109	21	14	46	4	2	50.00%	7	3	57.14%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
10	Fighting Pandas	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	12	18	0	0	111	82	69	6	41	890	912	894	19	42	17	8	23	3	0	0.00%	4	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
11	Firebirds	1	1	0	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	15	23	0	0	111	82	69	6	56	890	912	894	19	61	13	8	42	2	0	0.00%	3	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
12	Griffins	7	2	3	0	1	0	1	0	47	42	5	3	1	2	0	0	0	0	0	22	19	3	4	1	1	0	1	0	1	0	25	23	2	8	0.571	47	89	136	0	0	111	82	69	6	388	890	912	894	19	395	122	42	170	20	3	15.00%	21	6	71.43%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
13	Ice Bats	4	2	2	0	0	0	0	0	24	28	-4	3	2	1	0	0	0	0	0	18	20	-2	1	0	1	0	0	0	0	0	6	8	-2	4	0.500	24	46	70	0	0	111	82	69	6	236	890	912	894	19	233	63	26	101	9	2	22.22%	8	3	62.50%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
14	Lions	6	4	2	0	0	0	0	0	27	22	5	3	1	2	0	0	0	0	0	12	14	-2	3	3	0	0	0	0	0	0	15	8	7	8	0.667	27	53	80	0	0	111	82	69	6	328	890	912	894	19	217	51	24	145	16	2	12.50%	12	3	75.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
15	Marlies	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	111	82	69	6	48	890	912	894	19	31	5	2	21	4	1	25.00%	1	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
16	Nordiks	5	3	2	0	0	0	0	0	27	29	-2	3	2	1	0	0	0	0	0	16	17	-1	2	1	1	0	0	0	0	0	11	12	-1	6	0.600	27	52	79	0	0	111	82	69	6	291	890	912	894	19	280	60	23	124	12	2	16.67%	9	3	66.67%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
17	Punishers	2	1	0	0	0	0	1	0	10	8	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	6	5	1	4	1.000	10	16	26	0	0	111	82	69	6	96	890	912	894	19	70	13	16	45	2	0	0.00%	9	0	100.00%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
18	Roadrunners	4	2	0	0	0	2	0	0	23	18	5	3	1	0	0	0	2	0	0	17	14	3	1	1	0	0	0	0	0	0	6	4	2	6	0.750	23	39	62	0	0	111	82	69	6	202	890	912	894	19	150	44	22	97	8	0	0.00%	11	4	63.64%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
19	Wombats	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	4	7	11	0	0	111	82	69	6	51	890	912	894	19	47	12	0	18	4	1	25.00%	0	0	0%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
20	Wranglers	2	1	1	0	0	0	0	0	10	11	-1	2	1	1	0	0	0	0	0	10	11	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	10	18	28	0	0	111	82	69	6	107	890	912	894	19	66	16	0	50	5	1	20.00%	0	0	0%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
	Total	53	25	19	0	4	3	2	0	268	266	2	28	11	13	0	2	2	0	0	141	150	-9	25	14	6	0	2	1	2	0	127	116	11	65	0.613	268	508	776	1	0	111	82	69	6	2709	890	912	894	19	2405	643	282	1265	126	22	17.46%	129	28	78.29%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
	_Since Last GM Reset	53	25	19	0	4	3	2	0	268	266	2	28	11	13	0	2	2	0	0	141	150	-9	25	14	6	0	2	1	2	0	127	116	11	65	0.613	268	508	776	1	0	111	82	69	6	2709	890	912	894	19	2405	643	282	1265	126	22	17.46%	129	28	78.29%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
	_Vs Conference	37	17	14	0	4	0	2	0	188	185	3	21	9	10	0	2	0	0	0	107	113	-6	16	8	4	0	2	0	2	0	81	72	9	46	0.622	188	359	547	1	0	111	82	69	6	1939	890	912	894	19	1676	445	198	868	89	16	17.98%	89	20	77.53%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303
	_Vs Division	22	11	9	0	1	0	1	0	107	109	-2	14	6	6	0	0	0	0	0	67	72	-5	8	5	3	0	1	0	1	0	40	37	3	26	0.591	107	202	309	0	0	111	82	69	6	1186	890	912	894	19	950	242	116	536	51	6	11.76%	48	15	68.75%	0	1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%	1204	867	1356	367	639	303

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
53	65	W3	268	508	776	2709	2405	643	282	1265	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
53	25	19	4	3	2	0	268	266

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	11	13	2	2	0	0	141	150

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	14	6	2	1	2	0	127	116

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	2	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
126	22	17.46%	129	28	78.29%	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
890	912	894	19	111	82	69	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1026	2246	45.68%	937	2024	46.29%	473	1005	47.06%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1204	867	1356	367	639	303

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	OT	SO	Link
2	10	Tomahawks	6	Lions	3	W			BoxScore
3	18	Ice Bats	10	Tomahawks	4	L			BoxScore
5	24	Tomahawks	6	Griffins	5	W	X	X	BoxScore
8	41	Roadrunners	6	Tomahawks	5	L	X		BoxScore
9	50	Roadrunners	4	Tomahawks	3	L	X		BoxScore
12	64	Tomahawks	6	Punishers	5	W	X	X	BoxScore
13	72	Tomahawks	5	Bruins	3	W			BoxScore
15	85	Nordiks	7	Tomahawks	3	L			BoxScore
17	96	Ice Bats	5	Tomahawks	6	W			BoxScore
20	111	Tomahawks	6	Griffins	4	W			BoxScore
22	123	Lions	5	Tomahawks	3	L			BoxScore
23	133	Tomahawks	3	Nordiks	6	L			BoxScore
25	144	Wranglers	9	Tomahawks	5	L			BoxScore
27	149	Tomahawks	6	Ice Bats	8	L			BoxScore
30	162	Tomahawks	5	Lions	2	W			BoxScore
32	171	Griffins	8	Tomahawks	6	L			BoxScore
34	181	Tomahawks	6	Roadrunners	4	W			BoxScore
35	189	Lions	5	Tomahawks	4	L			BoxScore
39	205	Tomahawks	7	Broncos	5	W			BoxScore
41	212	Aces	4	Tomahawks	3	L			BoxScore
45	231	Ice Bats	5	Tomahawks	8	W			BoxScore
48	244	Tomahawks	2	Barracuda	1	W			BoxScore
49	253	Roadrunners	4	Tomahawks	9	W			BoxScore
52	269	Nordiks	6	Tomahawks	8	W			BoxScore
54	282	Tomahawks	4	Bruins	3	W			BoxScore
55	289	Barons	4	Tomahawks	0	L			BoxScore
57	300	Tomahawks	8	Nordiks	6	W			BoxScore
60	312	Barons	3	Tomahawks	4	W	X		BoxScore
61	320	Tomahawks	2	Barons	5	L			BoxScore
64	332	Griffins	3	Tomahawks	9	W			BoxScore
68	355	Canucks	5	Tomahawks	3	L			BoxScore
71	370	Tomahawks	3	Americiens	6	L			BoxScore
73	376	Barracuda	7	Tomahawks	8	W			BoxScore
75	390	Tomahawks	6	Bruins	7	L	X		BoxScore
77	399	Punishers	3	Tomahawks	4	W			BoxScore
81	419	Tomahawks	5	Aces	4	W			BoxScore
82	423	Broncos	7	Tomahawks	6	L			BoxScore
84	435	Tomahawks	6	Canucks	5	W	X		BoxScore
86	444	Griffins	8	Tomahawks	7	L			BoxScore
88	457	Tomahawks	3	Canucks	1	W			BoxScore
90	466	Firebirds	7	Tomahawks	8	W			BoxScore
93	482	Tomahawks	4	Wombats	8	L			BoxScore
94	487	Lions	4	Tomahawks	5	W			BoxScore
96	504	Tomahawks	4	Griffins	6	L			BoxScore
97	509	Marlies	4	Tomahawks	2	L			BoxScore
100	525	Tomahawks	5	Butter Knives	4	W			BoxScore
101	530	Tomahawks	6	Fighting Pandas	4	W			BoxScore
102	536	Admirals	5	Tomahawks	1	L			BoxScore
106	552	Barracuda	6	Tomahawks	7	W	X		BoxScore
109	570	Tomahawks	9	Griffins	8	W	X		BoxScore
110	577	Wranglers	2	Tomahawks	5	W			BoxScore
113	589	Tomahawks	4	Lions	3	W			BoxScore
114	597	Nordiks	4	Tomahawks	5	W			BoxScore
117	613	Tomahawks	-	Nordiks	-
118	620	Lynx	-	Tomahawks	-
121	639	Aces	-	Tomahawks	-
123	644	Tomahawks	-	Barracuda	-
126	661	Americiens	-	Tomahawks	-
128	671	Tomahawks	-	Lions	-
130	683	Fighting Pandas	-	Tomahawks	-
131	691	Tomahawks	-	Admirals	-
135	705	Tomahawks	-	Lynx	-
136	708	Roadrunners	-	Tomahawks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
140	728	Wombats	-	Tomahawks	-
142	741	Tomahawks	-	Ice Bats	-
144	750	Barons	-	Tomahawks	-
146	763	Tomahawks	-	Firebirds	-
148	770	Tomahawks	-	Wranglers	-
149	774	Ice Bats	-	Tomahawks	-
154	794	Punishers	-	Tomahawks	-
156	805	Tomahawks	-	Marlies	-
157	816	Punishers	-	Tomahawks	-
159	824	Tomahawks	-	Punishers	-
160	832	Tomahawks	-	Ice Bats	-
161	839	Canucks	-	Tomahawks	-
164	856	Tomahawks	-	Wranglers	-
165	861	Tomahawks	-	Aces	-
166	864	Bruins	-	Tomahawks	-
169	877	Tomahawks	-	Marlies	-
170	883	Tomahawks	-	Punishers	-
171	886	Tomahawks	-	Barons	-
173	894	Butter Knives	-	Tomahawks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
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
13	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
923,718$	900,000$	900,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
900,000$	595,163$	15	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	60	8,000$	480,000$

Tomahawks 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

Tomahawks 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

Tomahawks 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

Tomahawks 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

Tomahawks 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

	Tomahawks
	GP: 53 \| W: 31 \| L: 19 \| OTL: 3 \| P: 65 GF: 268 \| GA: 266 \| PP%: 17.46% \| PK%: 78.29% GM : Gavin Steidele \| Morale : 61 \| Team Overall : 60 Next Games #613 vs Nordiks