Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Depth
News
History
Injury / Suspension
Career Team Stats

Team Leaders

Team Stats

Team Info
	General Manager
	Coach	Martin Kucera
	Division	East
	Conference	Canadian
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Centre Gervais Auto
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	13
	Farm Team	6
	Contract Limit	19 / 50
	Prospects	0
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	0$
	Projected Bank Account	0$
Team History
	This Season	0-0-0 (0PTS)
	History	174-173-47 (0.442%)
	Playoff Appearances	2
	Playoff Record (W-L)	7 - 11 (0.389%)
	Stanley Cup	0

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	Alexsey Omelkov (R)	0		X			100.00	74	64	63	74	66	87	84	75	68	57	69	81	53	58	65	78	40	72	0	19	1	0$
2	Steven Hicke (R)	0			X		100.00	76	55	57	69	77	81	86	62	59	67	55	81	73	49	47	76	40	71	0	19	1	0$
3	Havard Evenrud	0		X			100.00	80	67	83	73	71	71	70	85	73	52	84	49	87	62	77	87	40	70	0	18	1	0$
4	Edward Tysk (R)	0			X		100.00	81	63	61	70	80	62	75	36	64	61	75	83	61	71	55	77	40	68	0	18	1	0$
5	Daniel Lohse (R)	0	X				100.00	38	30	85	54	45	89	95	65	62	91	38	59	75	33	76	78	40	67	0	20	1	0$
6	Fernando Lord (R)	0		X			100.00	65	58	56	76	72	71	56	49	73	57	67	84	58	75	55	73	40	66	0	19	1	0$
7	Fabian Schroer (R)	0	X				100.00	32	59	56	76	45	81	75	71	68	71	53	75	62	74	57	73	40	66	0	18	1	0$
8	Oleg Samorodov (R)	0			X		100.00	56	70	76	58	50	62	74	79	52	70	58	76	78	55	64	72	40	65	0	19	1	0$
9	Cyril Schalch (R)	0				X	100.00	85	65	85	65	78	71	69	50	65	46	67	86	72	80	64	81	40	72	0	18	1	0$
10	Taras Pervago	0				X	100.00	58	63	66	68	66	71	77	76	66	71	67	59	52	66	60	78	40	69	0	19	1	0$
11	Emil Larsen (R)	0				X	100.00	61	64	47	56	74	60	73	33	50	40	53	74	51	52	46	84	40	61	0	18	1	0$
Scratches

	TEAM AVERAGE						100.00	64	60	67	67	66	73	76	62	64	62	62	73	66	61	61	78	40	68

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	Ctibor Syptak (R)	0	100.00	62	59	71	79	80	60	66	52	89	88	78	70	43	70	40	71	0	20	1	0$
2	Henrik Ingemarsson (R)	0	100.00	69	58	76	60	68	75	69	55	60	59	62	55	65	66	40	65	0	18	1	0$
Scratches

	TEAM AVERAGE		100.00	66	59	74	70	74	68	68	54	75	74	70	63	54	68	40	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Martin Kucera	89	48	77	94	53	74	58	CZE	48	4	100,000$

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	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
Alexsey Omelkov	Nighthawks	LW	19	2008-12-27	RUS	Yes	197 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ctibor Syptak	Nighthawks	G	20	2007-09-14	CZE	Yes	184 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cyril Schalch	Nighthawks	D	18	2009-07-20	SUI	Yes	170 Lbs	5 ft9	No	No	Assign Manually	No	No	1	2024-07-06	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Daniel Lohse	Nighthawks	C	20	2007-06-08	DEN	Yes	240 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Edward Tysk	Nighthawks	RW	18	2009-06-28	SWE	Yes	167 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2024-07-06	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Emil Larsen	Nighthawks	D	18	2009-01-24	NOR	Yes	201 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-04-16	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Fabian Schroer	Nighthawks	C	18	2009-04-13	GER	Yes	205 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-07-06	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Fernando Lord	Nighthawks	LW	19	2008-12-27	CAN	Yes	214 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Havard Evenrud	Nighthawks	LW	18	2009-10-08	NOR	No	204 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-07-06	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Henrik Ingemarsson	Nighthawks	G	18	2009-05-31	SWE	Yes	189 Lbs	6 ft5	No	No	Assign Manually	No	No	1	2024-07-06	False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Oleg Samorodov	Nighthawks	RW	19	2008-12-27	RUS	Yes	187 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steven Hicke	Nighthawks	RW	19	2008-12-27	CAN	Yes	221 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Taras Pervago	Nighthawks	D	19	2008-12-27	RUS	No	199 Lbs	5 ft9	No	No	N/A	No	No	1		False	False	Pro & Farm	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
13	18.69	198 Lbs	6 ft2	1.00	0$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
0$	0$	0$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2	Alexsey Omelkov		Steven Hicke	35	1	2	2
3	Havard Evenrud	Daniel Lohse	Edward Tysk	20	1	2	2
4	Fernando Lord	Fabian Schroer	Oleg Samorodov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2	Cyril Schalch	Taras Pervago	35	1	2	2
3		Emil Larsen	20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				50	1	2	2
2	Alexsey Omelkov		Steven Hicke	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Cyril Schalch	Taras Pervago	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Cyril Schalch	Taras Pervago	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		50	1	2	2			50	1	2	2
2		50	1	2	2	Cyril Schalch	Taras Pervago	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Cyril Schalch	Taras Pervago	50	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
Havard Evenrud, Daniel Lohse, Edward Tysk	Havard Evenrud, Daniel Lohse	Edward Tysk

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Emil Larsen, Cyril Schalch		Emil Larsen, Cyril Schalch

Penalty Shots
, , , , Steven Hicke

Goalie
#1 : Ctibor Syptak, #2 : Henrik Ingemarsson

Custom OT Lines Forwards
, , , , Steven Hicke, Alexsey Omelkov, Havard Evenrud, Daniel Lohse, Edward Tysk, Fabian Schroer

Custom OT Lines Defensemen
, , Cyril Schalch, Taras Pervago,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

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

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

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

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

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

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

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

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

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

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
0$	0$	0$	100,000$0$	0$

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

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

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

Depth Chart

Left Wing

Center

Right Wing

Alexsey Omelkov (R)	AGE:19	PO:78	OV:72
Havard Evenrud	AGE:18	PO:87	OV:70
Fernando Lord (R)	AGE:19	PO:73	OV:66
Preston Sharp (R)	AGE:17	PO:79	OV:64

Daniel Lohse (R)	AGE:20	PO:78	OV:67
Fabian Schroer (R)	AGE:18	PO:73	OV:66
Brit Waring (R)	AGE:20	PO:81	OV:58

Steven Hicke (R)	AGE:19	PO:76	OV:71
Edward Tysk (R)	AGE:18	PO:77	OV:68
Oleg Samorodov (R)	AGE:19	PO:72	OV:65

Defense #1

Defense #2

Goalie

Cyril Schalch (R)	AGE:18	PO:81	OV:72
Taras Pervago	AGE:19	PO:78	OV:69
Mike Martinook (R)	AGE:17	PO:92	OV:65

Severin Bannwart (R)	AGE:17	PO:95	OV:63
Emil Larsen (R)	AGE:18	PO:84	OV:61
Helmer Nordin (R)	AGE:17	PO:78	OV:59

Ctibor Syptak (R)	AGE:20	PO:70	OV:71
Patrick McLean (R)	AGE:19	PO:51	OV:66
Henrik Ingemarsson (R)	AGE:18	PO:66	OV:65

Prospects

Show or Hide Columns

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Last Trade Date	Link

Draft Picks

Year	R1	R2	R3	R4	R5
5
6
7
8
9
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.

Nighthawks Trade History

[10/14/2025 3:47:01 PM] David Uranc was released.
[10/14/2025 3:47:01 PM] David Uranc retired from Nighthawks
[10/14/2025 3:38:37 PM] Marten Samways was released.
[10/14/2025 3:38:37 PM] Marten Samways retired from Nighthawks
[10/14/2025 3:32:35 PM] Dan Sigvardsson was released.

No Injury or Suspension.

Nighthawks 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
1	Marten Samways	327	81	168	249	-30	70	606	675	1049	7.72%	179	6243	19.09	21	57	78	99	2	7	9	22	15	1	42.30%	1	0.80	2	16
2	Dan Sigvardsson	364	75	126	201	-49	105	358	790	710	10.56%	227	7244	19.90	20	31	51	50	3	1	4	14	10	6	42.15%	0	0.55	11	25
3	Florentin Wehrle	298	97	69	166	-6	167	404	391	630	15.40%	135	4791	16.08	33	20	53	74	2	3	5	15	16	8	34.88%	0	0.69	5	14
4	Derek Hemmerling	337	29	135	164	-38	106	480	522	570	5.09%	377	7815	23.19	19	38	57	64	0	3	3	2	5	3	0%	1	0.42	0	0
5	Nils Almkvist	285	75	85	160	-14	47	509	408	686	10.93%	86	4490	15.76	15	15	30	26	1	0	1	1	11	2	61.35%	0	0.71	1	4

Nighthawks 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
1	Aldon Bartol	281	130	113	38	0.918	2.50	16923	20	13	704	8551	5392	30	0	0.684	76
2	Ctibor Syptak	248	89	124	27	0.905	3.01	14652	6	0	735	7724	4603	13	7	0.695	82
3	Patrick McLean	25	10	9	5	0.920	2.55	1458	0	0	62	774	472	0	4	0.800	10
4	Henrik Ingemarsson	18	4	11	1	0.898	3.06	979	0	0	50	491	231	0	0	0	0
5	Kenney Huot	1	1	0	0	0.974	0.92	65	0	0	1	38	20	0	0	1.000	5

Nighthawks 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
Regular Season
1	80	31	21	0	6	7	7	8	208	193	15	40	15	11	0	3	2	4	5	102	94	8	40	16	10	0	3	5	3	3	106	99	7	103	208	346	554	0	5	39	80	76	19	2193	561	805	767	111	2333	757	371	1748	174	45	25.86%	180	41	77.22%	1	820	1556	52.70%	709	1382	51.30%	507	1016	49.90%	1610	831	1700	777	1583	805
2	80	23	42	0	2	6	5	2	197	227	-30	40	11	21	0	1	4	2	1	99	115	-16	40	12	21	0	1	2	3	1	98	112	-14	68	197	319	516	1	2	36	74	80	11	2275	595	886	776	39	2531	878	352	1781	173	51	29.48%	175	46	73.71%	4	709	1507	47.05%	596	1394	42.75%	469	1059	44.29%	1586	840	1733	765	1528	756
2	80	23	42	0	2	6	5	2	197	227	-30	40	11	21	0	1	4	2	1	99	115	-16	40	12	21	0	1	2	3	1	98	112	-14	68	197	319	516	1	2	36	74	80	11	2275	595	886	776	39	2531	878	352	1781	173	51	29.48%	175	46	73.71%	4	709	1507	47.05%	596	1394	42.75%	469	1059	44.29%	1586	840	1733	765	1528	756
3	80	29	25	0	8	9	2	7	248	237	11	40	14	11	0	5	7	2	1	121	109	12	40	15	14	0	3	2	0	6	127	128	-1	94	248	409	657	4	0	52	79	107	12	2420	691	844	845	69	2609	832	1648	1994	230	71	30.87%	204	73	64.22%	5	781	1695	46.08%	733	1612	45.47%	539	1194	45.14%	1640	885	1723	771	1519	752
4	82	21	43	0	8	6	2	2	203	250	-47	41	10	20	0	4	4	2	1	97	117	-20	41	11	23	0	4	2	0	1	106	133	-27	70	203	340	543	3	0	34	80	79	12	2527	769	904	827	42	2523	897	519	2093	185	47	25.41%	169	56	66.86%	1	732	1648	44.42%	733	1593	46.01%	502	1114	45.06%	1742	979	1693	770	1522	743
Total Regular Season	402	127	173	0	26	34	21	21	1053	1134	-81	201	61	84	0	14	21	12	9	518	550	-32	201	66	89	0	12	13	9	12	535	584	-49	403	1053	1733	2786	9	9	197	387	422	65	11690	3211	4325	3991	300	12527	4242	3242	9397	935	265	28.34%	903	262	70.99%	15	3751	7913	47.40%	3367	7375	45.65%	2486	5442	45.68%	8165	4376	8584	3849	7681	3815
Playoff
1	12	5	7	0	0	0	0	0	34	33	1	7	2	5	0	0	0	0	0	17	18	-1	5	3	2	0	0	0	0	0	17	15	2	10	34	57	91	0	0	8	12	12	2	377	104	122	124	27	397	116	54	276	31	12	38.71%	27	7	74.07%	1	133	268	49.63%	127	244	52.05%	92	165	55.76%	249	130	262	119	244	123
3	6	2	4	0	0	0	0	0	11	14	-3	3	1	2	0	0	0	0	0	5	6	-1	3	1	2	0	0	0	0	0	6	8	-2	4	11	19	30	0	0	4	4	3	0	170	50	74	46	0	166	54	101	165	14	0	0.00%	8	2	75.00%	0	68	133	51.13%	47	98	47.96%	41	73	56.16%	125	65	120	57	114	58
Total Playoff	18	7	11	0	0	0	0	0	45	47	-2	10	3	7	0	0	0	0	0	22	24	-2	8	4	4	0	0	0	0	0	23	23	0	14	45	76	121	0	0	12	16	15	2	547	154	196	170	27	563	170	155	441	45	12	26.67%	35	9	74.29%	1	201	401	50.12%	174	342	50.88%	133	238	55.88%	374	195	382	177	358	181

Nighthawks 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%	P/20
1	Mathys Nemeth	12	7	8	15	-10	4	29	23	47	14.89%	3	261	21.82	3	5	8	4	0	1	1	1	1	1	62.07%	1.15
2	Cole Mcure	12	4	10	14	-11	2	26	34	24	16.67%	8	265	22.10	2	5	7	4	1	0	1	2	0	0	45.69%	1.06
3	John-Michael Mcdonough	12	4	7	11	-8	6	31	35	55	7.27%	8	286	23.88	2	2	4	4	0	0	0	2	2	0	58.18%	0.77
4	Mikkomatti Niinivirta	12	3	6	9	4	0	39	21	50	6.00%	9	272	22.72	0	3	3	4	0	0	0	1	1	0	47.37%	0.66
5	Tikhon Lemyasev	12	3	6	9	-3	2	5	25	25	12.00%	15	310	25.88	3	1	4	5	0	1	1	0	0	0	100.00%	0.58

Nighthawks 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
1	Aldon Bartol	12	5	3	4	0.917	2.62	755	0	0	33	397	241	0	0	0	0
2	Ctibor Syptak	6	2	4	0	0.916	2.33	360	0	0	14	166	92	0	0	0	0

	Nighthawks
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : \| Morale : 40 \| Team Overall : 68