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

Game Center
	Lions 5-5-0, 10pts	6	FINAL	5	Tomahawks 5-2-3, 13pts

Team Stats
OTW1	Streak	W1
2-3-0	Home Record	3-1-2
3-2-0	Home Record	2-1-1
5-5-0	Last 10 Games	5-2-3
4.60	Goals Per Game	5.90
5.00	Goals Against Per Game	4.70
33.33%	Power Play Percentage	20.00%
81.48%	Penalty Kill Percentage	87.50%

Wranglers
5-6-0, 10pts

FINAL

Tomahawks
5-2-3, 13pts

Team Stats
L1	Streak	W1
3-2-0	Home Record	3-1-2
2-4-0	Home Record	2-1-1
5-5-0	Last 10 Games	5-2-3
4.55	Goals Per Game	5.90
4.91	Goals Against Per Game	4.70
9.52%	Power Play Percentage	20.00%
67.86%	Penalty Kill Percentage	87.50%

Tomahawks
5-2-3, 13pts

Day 24

Ice Bats
4-5-1, 9pts

Team Stats
W1	Streak	L3
3-1-2	Home Record	2-3-0
2-1-1	Away Record	2-2-1
5-2-3	Last 10 Games	4-5-1
5.90	Goals Per Game	4.30
4.70	Goals Against Per Game	4.30
20.00%	Power Play Percentage	28.57%
87.50%	Penalty Kill Percentage	73.91%

Tomahawks
5-2-3, 13pts

Day 26

Barons
6-3-1, 13pts

Team Stats
W1	Streak	OTW1
3-1-2	Home Record	3-2-0
2-1-1	Away Record	3-1-1
5-2-3	Last 10 Games	6-3-1
5.90	Goals Per Game	4.30
4.70	Goals Against Per Game	4.30
20.00%	Power Play Percentage	19.35%
87.50%	Penalty Kill Percentage	72.73%

Ice Bats
4-5-1, 9pts

Day 28

Tomahawks
5-2-3, 13pts

Team Stats
L3	Streak	W1
2-3-0	Home Record	3-1-2
2-2-1	Away Record	2-1-1
4-5-1	Last 10 Games	5-2-3
4.30	Goals Per Game	5.90
4.90	Goals Against Per Game	5.90
28.57%	Power Play Percentage	20.00%
73.91%	Penalty Kill Percentage	87.50%

Team Leaders

Team Stats
Goals For 59 5.90 GFG	Shots For 518 51.80 Avg	Power Play Percentage 20.0% 4 GF	Offensive Zone Start 42.4%
Goals Against 47 4.70 GAA	Shots Against 475 47.50 Avg	Penalty Kill Percentage 87.5%% 3 GA	Defensive Zone Start 38.2%

Team Info
	General Manager	Gavin Steidele
	Coach	Jeremy Roenick
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	14
	Farm Team	19
	Contract Limit	33 / 50
	Prospects	22

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	Colton Sissons	X				100.00	74	64	85	66	71	71	79	61	76	59	56	72	50	77	76	0	52	63	0	32	2	2,000,000$
2	Nicholas Robertson		X			100.00	68	54	92	69	63	71	88	68	50	65	68	59	51	63	64	0	52	63	0	25	2	500,000$
3	Colton Dach	X				100.00	88	66	81	66	79	69	75	63	50	61	54	59	50	58	59	0	52	60	0	23	3	500,000$
4	Reid Schaefer		X			100.00	82	64	86	65	82	65	65	63	50	57	60	60	50	58	59	0	52	60	0	23	4	500,000$
5	Sam Lafferty	X				100.00	70	55	92	65	74	61	57	69	63	55	50	57	50	74	69	0	52	58	0	31	2	500,000$
6	Jonathan Lekkerimaki			X		100.00	58	50	89	59	60	62	53	58	50	53	57	53	51	56	58	0	52	54	0	22	3	500,000$
7	Patrik Laine		X			100.00	50	41	79	57	75	50	52	50	50	50	50	50	50	70	68	0	52	52	0	28	2	1,750,000$
8	Shakir Mukhamadullin				X	100.00	66	60	78	62	72	71	70	67	50	58	57	72	56	62	65	0	52	63	0	24	1	500,000$
9	Tom Willander				X	100.00	61	57	86	66	64	71	83	69	50	64	53	67	56	56	59	0	52	62	0	21	4	500,000$
10	Adam Boqvist				X	100.00	58	58	85	63	69	62	58	63	50	57	50	63	55	65	65	0	52	59	0	26	3	500,000$
11	Jordan Harris				X	100.00	50	50	94	57	67	52	54	53	50	50	50	53	56	66	67	0	52	53	0	26	1	500,000$
12	Carson Lambos				X	100.00	50	35	94	57	70	50	50	50	50	50	50	50	55	61	65	0	52	52	0	23	4	500,000$
Scratches

	TEAM AVERAGE					100.00	65	55	87	63	71	63	65	61	53	57	55	60	53	64	65	0	52	58

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	Jordan Binnington	100.00	68	80	75	67	65	77	72	65	66	50	62	78	78	0	55	68	0	33	1	500,000$
2	Arvid Soderblom	100.00	64	73	69	70	70	64	67	68	65	50	67	67	67	0	55	65	0	27	1	500,000$
Scratches

	TEAM AVERAGE	100.00	66	77	72	69	68	71	70	67	66	50	65	73	73	0	55	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Roenick	88	88	89	88	66	66	1	USA	56	4	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	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
Adam Boqvist	Tomahawks (CHI)	D	26	2000-08-15	CAN	No	195 Lbs	6 ft0	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Arvid Soderblom	Tomahawks (CHI)	G	27	1999-08-19	CAN	No	180 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	44,388$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Carson Lambos	Tomahawks (CHI)	D	23	2003-01-14	CAN	No	197 Lbs	6 ft1	No	No	Free Agent		No	No	4	2026-06-29	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Colton Dach	Tomahawks (CHI)	C	23	2003-01-04	CAN	No	218 Lbs	6 ft4	No	No	Free Agent		No	No	3	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Colton Sissons	Tomahawks (CHI)	C	32	1993-11-05	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	No	2	2024-08-19	False	False	Pro & Farm	2,000,000$	200,000$	177,551$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jonathan Lekkerimaki	Tomahawks (CHI)	RW	22	2004-07-24	CAN	No	172 Lbs	5 ft11	No	No	Draft		No	No	3	2026-06-21	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jordan Binnington	Tomahawks (CHI)	G	33	1993-07-11	CAN	No	172 Lbs	6 ft2	No	No	Trade	2025-06-29	No	No	1		False	False	Pro & Farm	500,000$	50,000$	44,388$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jordan Harris	Tomahawks (CHI)	D	26	2000-07-07	CAN	No	189 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	44,388$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nicholas Robertson	Tomahawks (CHI)	LW	25	2001-09-11	CAN	No	180 Lbs	5 ft9	No	No	Trade	2026-06-09	No	No	2	2024-08-14	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Patrik Laine	Tomahawks (CHI)	LW	28	1998-04-19	CAN	No	208 Lbs	6 ft4	No	No	Free Agent	2025-06-22	No	No	2	2026-07-03	False	False	Pro & Farm	1,750,000$	175,000$	155,357$	No	1,750,000$	-	-	-	-	-	-	-	-	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Reid Schaefer	Tomahawks (CHI)	LW	23	2003-09-21	CAN	No	226 Lbs	6 ft5	No	No	Free Agent		No	No	4	2026-06-29	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Sam Lafferty	Tomahawks (CHI)	C	31	1995-03-06	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	No	2	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Shakir Mukhamadullin	Tomahawks (CHI)	D	24	2002-01-10	CAN	No	200 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	44,388$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tom Willander	Tomahawks (CHI)	D	21	2005-02-09	CAN	No	180 Lbs	6 ft1	No	No	Free Agent		No	No	4	2026-06-29	False	False	Pro & Farm	500,000$	50,000$	44,388$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	26.00	194 Lbs	6 ft2	2.36	696,429$

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	Barons	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	21	32	0	0	22	23	14	0	91	176	166	173	3	55	18	12	49	3	0	0.00%	6	0	100.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
2	Lions	2	0	0	0	0	2	0	0	9	11	-2	1	0	0	0	0	1	0	0	5	6	-1	1	0	0	0	0	1	0	0	4	5	-1	2	0.500	9	16	25	0	0	22	23	14	0	95	176	166	173	3	117	34	10	38	2	0	0.00%	5	1	80.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
3	Newfoundland Regiment	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	22	23	14	0	58	176	166	173	3	26	7	2	22	0	0	0%	1	0	100.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
4	Nordiks	2	0	1	0	0	1	0	0	11	13	-2	2	0	1	0	0	1	0	0	11	13	-2	0	0	0	0	0	0	0	0	0	0	0	1	0.250	11	22	33	0	0	22	23	14	0	86	176	166	173	3	117	40	12	47	5	0	0.00%	6	1	83.33%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
5	Quacken	1	0	1	0	0	0	0	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	7	8	-1	0	0.000	7	14	21	0	0	22	23	14	0	54	176	166	173	3	57	17	11	32	2	0	0.00%	4	1	75.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
6	Wranglers	2	2	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	7	4	3	4	1.000	15	27	42	0	0	22	23	14	0	134	176	166	173	3	103	29	13	63	8	4	50.00%	2	0	100.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
	Total	10	5	2	0	0	3	0	0	59	47	12	6	3	1	0	0	2	0	0	36	28	8	4	2	1	0	0	1	0	0	23	19	4	13	0.650	59	112	171	0	0	22	23	14	0	518	176	166	173	3	475	145	60	251	20	4	20.00%	24	3	87.50%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
	_Since Last GM Reset	10	5	2	0	0	3	0	0	59	47	12	6	3	1	0	0	2	0	0	36	28	8	4	2	1	0	0	1	0	0	23	19	4	13	0.650	59	112	171	0	0	22	23	14	0	518	176	166	173	3	475	145	60	251	20	4	20.00%	24	3	87.50%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
	_Vs Conference	10	5	2	0	0	3	0	0	59	47	12	6	3	1	0	0	2	0	0	36	28	8	4	2	1	0	0	1	0	0	23	19	4	13	0.650	59	112	171	0	0	22	23	14	0	518	176	166	173	3	475	145	60	251	20	4	20.00%	24	3	87.50%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58
	_Vs Division	2	4	1	0	0	3	0	0	13	11	2	1	2	1	0	0	2	0	0	6	3	3	1	2	0	0	0	1	0	0	7	8	-1	11	2.750	13	26	39	0	0	22	23	14	0	112	176	166	173	3	83	24	13	54	2	0	0.00%	5	1	80.00%	0	225	434	51.84%	187	391	47.83%	84	198	42.42%	231	167	248	67	123	58

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	13	W1	59	112	171	518	475	145	60	251	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	2	0	3	0	0	59	47

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	1	0	2	0	0	36	28

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	1	0	0	23	19

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
20	4	20.00%	24	3	87.50%	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
176	166	173	3	22	23	14	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
225	434	51.84%	187	391	47.83%	84	198	42.42%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
231	167	248	67	123	58

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	Link
2	9	Nordiks	7	Tomahawks	6	L	X	BoxScore
5	25	Tomahawks	7	Quacken	8	L		BoxScore
6	37	Newfoundland Regiment	3	Tomahawks	6	W		BoxScore
9	47	Tomahawks	7	Wranglers	4	W		BoxScore
10	57	Barons	3	Tomahawks	6	W		BoxScore
14	74	Nordiks	6	Tomahawks	5	L		BoxScore
16	89	Tomahawks	4	Lions	5	L	X	BoxScore
18	100	Tomahawks	5	Barons	2	W		BoxScore
20	109	Lions	6	Tomahawks	5	L	X	BoxScore
22	122	Wranglers	3	Tomahawks	8	W		BoxScore
24	130	Tomahawks	-	Ice Bats	-
26	145	Tomahawks	-	Barons	-
28	152	Ice Bats	-	Tomahawks	-
31	170	Canucks	-	Tomahawks	-
33	178	Tomahawks	-	Nordiks	-
36	190	Tomahawks	-	Newfoundland Regiment	-
38	200	Tomahawks	-	Roadrunners	-
39	210	Lynx	-	Tomahawks	-
42	225	Newfoundland Regiment	-	Tomahawks	-
46	243	Fighting Pandas	-	Tomahawks	-
50	265	Barracuda	-	Tomahawks	-
52	273	Tomahawks	-	Barracuda	-
54	288	Tomahawks	-	Ice Bats	-
56	294	Roadrunners	-	Tomahawks	-
58	309	Tomahawks	-	Canucks	-
60	317	Firebirds	-	Tomahawks	-
62	331	Tomahawks	-	Broncos	-
64	339	Quacken	-	Tomahawks	-
66	353	Tomahawks	-	Roadrunners	-
68	362	Tomahawks	-	Griffins	-
69	372	Wombats	-	Tomahawks	-
72	388	Quacken	-	Tomahawks	-
76	408	Tomahawks	-	Bruins	-
77	415	Orlando Solar Bears	-	Tomahawks	-
81	435	Newfoundland Regiment	-	Tomahawks	-
83	444	Tomahawks	-	Orlando Solar Bears	-
85	458	Roadrunners	-	Tomahawks	-
87	470	Tomahawks	-	Barons	-
90	485	Lions	-	Tomahawks	-
93	502	Tomahawks	-	Ice Bats	-
95	507	Laval Rocket	-	Tomahawks	-
97	522	Tomahawks	-	Aces	-
99	529	Tomahawks	-	Wombats	-
101	537	Admirals	-	Tomahawks	-
103	551	Tomahawks	-	Fighting Pandas	-
105	557	Bruins	-	Tomahawks	-
109	579	Barons	-	Tomahawks	-
111	590	Tomahawks	-	Barracuda	-
113	600	Tomahawks	-	Laval Rocket	-
114	609	Marlies	-	Tomahawks	-
117	625	Griffins	-	Tomahawks	-
119	634	Tomahawks	-	Admirals	-
121	647	Tomahawks	-	Canucks	-
123	656	Lions	-	Tomahawks	-
126	674	Wranglers	-	Tomahawks	-
129	691	Tomahawks	-	Marlies	-
131	698	Ice Bats	-	Tomahawks	-
134	712	Tomahawks	-	Aces	-
136	721	Tomahawks	-	Lynx	-
137	727	Canucks	-	Tomahawks	-
140	740	Tomahawks	-	Americiens	-
142	749	Ice Bats	-	Tomahawks	-
144	762	Tomahawks	-	Wranglers	-
146	774	Tomahawks	-	Lions	-
148	779	Wranglers	-	Tomahawks	-
150	789	Tomahawks	-	Firebirds	-
152	803	Barracuda	-	Tomahawks	-
154	809	Tomahawks	-	Wranglers	-
156	819	Tomahawks	-	Newfoundland Regiment	-
158	829	Tomahawks	-	Nordiks	-
159	836	Aces	-	Tomahawks	-
163	854	Marlies	-	Tomahawks	-
165	867	Tomahawks	-	Lynx	-
167	878	Americiens	-	Tomahawks	-
170	894	Tomahawks	-	Quacken	-
173	903	Tomahawks	-	Wombats	-
174	909	Barons	-	Tomahawks	-
176	926	Aces	-	Tomahawks	-
180	943	Tomahawks	-	Lions	-
182	951	Broncos	-	Tomahawks	-
183	963	Tomahawks	-	Quacken	-
185	967	Tomahawks	-	Nordiks	-
187	980	Nordiks	-	Tomahawks	-
192	997	Nordiks	-	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
36	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
165,572$	975,000$	975,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
975,000$	109,428$	14	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	174	7,526$	1,309,524$

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: 10 \| W: 5 \| L: 2 \| OTL: 3 \| P: 13 GF: 59 \| GA: 47 \| PP%: 20.00% \| PK%: 87.50% GM : Gavin Steidele \| Morale : 48 \| Team Overall : 59 Next Games #130 vs Ice Bats