LHS - Ligue de Hockey Simule

Mammoth
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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
1	Juuso Parssinen	13	X	X			100.00	77	40	88	68	86	82	84	67	73	65	64	66	69	64	67	0	75	66	0
2	Collin Graf (R)	51	X		X		100.00	66	37	92	67	76	86	74	66	71	68	60	70	65	64	66	0	75	65	0
3	Justin Bailey (C)	90			X		100.00	78	41	85	65	89	83	87	63	56	62	61	64	63	70	72	0	75	65	0
4	Aidan McDonough (R)	25		X	X		100.00	72	41	90	64	81	86	73	63	62	60	66	61	65	67	68	0	75	64	0
5	Liam Ohgren (R)	28		X			100.00	67	36	94	66	72	86	73	65	58	62	64	61	63	62	65	0	75	64	0
6	A.J. Greer (A)	12		X			100.00	80	76	68	66	85	74	86	64	57	60	61	63	65	70	71	0	75	64	0
7	Sam Morton (R)	45	X	X			100.00	76	37	92	65	71	86	75	64	61	62	63	60	64	66	67	0	75	64	0
8	Brad Lambert (R)	19	X		X		100.00	63	37	84	67	72	87	85	64	69	66	58	63	65	62	64	0	75	63	0
9	Wyatt Bongiovanni	74	X	X			100.00	64	38	82	62	73	91	79	59	58	57	64	58	61	66	68	0	75	62	0
10	Aleksanteri Kaskimaki (R)	41	X				100.00	60	36	95	61	69	77	71	59	69	62	57	56	58	61	63	0	75	60	0
11	Adam Sykora (R)	14	X	X			100.00	59	35	95	57	66	82	86	56	60	58	56	59	55	61	63	0	75	60	0
12	Oskar Olausson (R)	42	X	X	X		100.00	65	37	85	59	73	80	79	57	55	58	56	55	59	63	65	0	75	60	0
13	Shakir Mukhamadullin (R)	44				X	100.00	74	39	88	68	86	85	80	64	30	67	60	66	52	63	65	0	75	65	0
14	David Reinbacher (R)	63				X	100.00	76	42	79	65	85	68	64	62	30	60	59	64	52	61	63	0	75	63	0
15	Declan Carlile (A)	72				X	100.00	70	40	79	62	83	80	82	61	30	60	59	63	52	65	67	0	75	63	0
16	Helge Grans (R)	56				X	100.00	74	40	83	61	87	82	84	62	30	63	56	60	49	63	65	0	75	63	0
17	Ville Heinola	4				X	100.00	61	39	84	63	71	82	71	64	30	63	58	60	50	64	66	0	75	62	0
18	Akito Hirose	46				X	100.00	64	37	84	57	68	76	72	58	30	56	55	59	48	66	68	0	75	60	0
Scratches
1	Jacob Perreault (R)	63			X		100.00	62	41	68	57	71	70	76	56	60	58	55	59	54	63	65	0	75	59	0
2	Nate Clurman	84				X	100.00	69	39	80	58	79	75	72	55	30	57	56	59	49	67	69	0	75	60	0
3	Christoffer Sedoff	8				X	100.00	69	39	85	57	78	67	80	55	30	56	53	58	46	63	65	0	75	59	0
4	Luke Krys	54				X	100.00	68	40	81	54	77	70	73	53	30	56	53	55	46	65	67	0	75	58	0

	TEAM AVERAGE					100.00	69	40	85	62	77	80	78	61	49	61	59	61	57	64	66	0	75	62

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
1	Leevi Merilainen (R)	100.00	79	85	81	81	78	77	79	78	77	79	78	63	69	0	75	67	0
2	Joel Blomqvist (R)	100.00	77	86	82	83	76	75	77	76	75	77	76	63	69	0	75	66	0
Scratches
1	Callum Tung	100.00	67	70	66	83	66	65	67	66	65	67	66	62	67	0	75	61	0

	TEAM AVERAGE	100.00	74	80	76	82	73	72	74	73	72	74	73	63	68	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Benoit Groulx	77	64	71	65	86	81	64	CAN	57	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Juuso Parssinen	Roadrunners (UTA)	C/LW	29	16	15	31	11	30	10	62	96	131	31	87	12.21%	9	629	21.72	1	3	4	16	61	0	1	1	3	74	3	0	57.88%	933	0	1	0.98	1	2	0	1	1	3	3	1
2	Brad Lambert	Roadrunners (UTA)	C/RW	30	9	20	29	12	8	0	25	73	85	20	74	10.59%	7	515	17.20	5	0	5	17	77	0	0	0	0	15	1	0	58.04%	622	0	0	1.12	0	1	0	0	0	1	2	2
3	Collin Graf	Roadrunners (UTA)	C/RW	30	7	21	28	14	6	0	38	64	136	41	104	5.15%	15	725	24.20	1	5	6	23	77	1	0	1	7	86	1	0	53.85%	78	0	0	0.77	0	2	0	0	0	1	1	3
4	Aidan McDonough	Roadrunners (UTA)	LW/RW	30	14	13	27	12	13	5	66	40	109	25	60	12.84%	3	538	17.95	3	4	7	19	79	0	0	0	0	1	2	1	54.84%	62	0	1	1.00	0	0	0	1	0	3	1	2
5	Liam Ohgren	Roadrunners (UTA)	LW	30	15	12	27	13	8	0	21	45	78	27	79	19.23%	2	486	16.21	0	0	0	1	7	0	0	0	0	11	0	1	66.67%	27	0	1	1.11	0	0	0	0	0	2	2	0
6	Shakir Mukhamadullin	Roadrunners (UTA)	D	29	3	20	23	16	16	0	67	37	67	19	37	4.48%	41	728	25.13	1	4	5	26	73	0	0	0	0	64	1	0	0.00%	0	0	0	0.63	0	0	0	0	0	1	1	1
7	Sam Morton	Roadrunners (UTA)	C/LW	30	11	10	21	12	6	0	46	30	108	29	60	10.19%	2	608	20.28	1	1	2	18	64	0	0	0	0	4	1	0	58.49%	53	0	1	0.69	0	0	0	0	0	1	1	2
8	Helge Grans	Roadrunners (UTA)	D	30	2	15	17	18	19	5	64	23	31	3	21	6.45%	39	574	19.15	0	0	0	7	27	0	0	0	1	45	1	0	0.00%	0	0	0	0.59	0	0	0	1	0	0	0	1
9	Simon Nemec	Mammoth	D	19	4	12	16	10	12	0	25	30	37	12	28	10.81%	26	477	25.16	1	0	1	18	50	0	0	0	1	39	0	0	0.00%	0	1	0	0.67	0	0	0	0	0	0	2	0
10	David Reinbacher	Roadrunners (UTA)	D	25	4	11	15	11	32	10	60	24	28	13	28	14.29%	33	477	19.11	2	2	4	8	38	0	0	0	1	38	0	0	0.00%	0	0	0	0.63	0	0	0	1	1	0	0	2
11	Justin Bailey	Roadrunners (UTA)	RW	30	8	7	15	5	4	0	38	30	75	23	64	10.67%	8	397	13.26	0	2	2	9	37	0	0	0	0	36	2	0	46.81%	47	0	0	0.75	0	0	0	0	0	0	1	0
12	Declan Carlile	Roadrunners (UTA)	D	30	1	9	10	-3	14	0	38	26	31	13	21	3.23%	40	552	18.42	0	3	3	4	17	0	0	0	0	60	0	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	0	0
13	A.J. Greer	Roadrunners (UTA)	LW	28	4	4	8	3	19	5	53	18	62	9	39	6.45%	4	291	10.41	0	0	0	0	0	0	0	0	0	0	0	1	14.29%	14	0	0	0.55	0	0	1	0	0	0	0	1
14	Wyatt Bongiovanni	Roadrunners (UTA)	C/LW	30	3	3	6	-2	7	5	19	22	36	15	27	8.33%	5	260	8.68	0	0	0	0	0	0	0	0	0	0	1	0	43.58%	179	0	0	0.46	0	0	0	0	1	0	0	0
15	Ville Heinola	Roadrunners (UTA)	D	18	0	5	5	4	4	0	16	15	21	9	17	0.00%	20	304	16.94	0	1	1	9	37	0	0	0	1	6	0	0	0.00%	0	0	0	0.33	0	0	0	0	0	0	0	0
16	Akito Hirose	Roadrunners (UTA)	D	6	0	3	3	-1	4	0	5	4	2	2	2	0.00%	4	74	12.45	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.80	0	0	0	0	0	0	0	0
17	Oskar Olausson	Roadrunners (UTA)	C/LW/RW	19	2	1	3	1	2	0	11	3	15	2	11	13.33%	2	125	6.63	0	0	0	0	0	0	0	0	0	0	0	0	44.44%	9	0	0	0.48	0	0	0	0	0	0	0	0
18	Aleksanteri Kaskimaki	Roadrunners (UTA)	C	6	1	1	2	2	0	0	1	10	7	1	4	14.29%	0	36	6.12	0	0	0	0	0	0	0	0	0	0	0	0	57.89%	38	0	0	1.09	0	0	0	0	0	0	0	1
19	Adam Sykora	Roadrunners (UTA)	C/LW	6	1	1	2	2	0	0	0	6	8	3	1	12.50%	0	36	6.12	0	0	0	0	0	0	0	0	0	0	0	0	60.00%	5	0	0	1.09	0	0	0	0	0	0	0	0
20	Nate Clurman	Roadrunners (UTA)	D	3	0	1	1	7	2	0	4	2	2	2	2	0.00%	3	36	12.10	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.55	0	0	0	0	0	0	0	0
Team Total or Average				458	105	184	289	147	206	40	659	598	1069	299	766	9.82%	263	7881	17.21	15	25	40	175	649	1	1	2	14	490	13	3	55.97%	2067	1	4	0.73	1	5	1	4	3	12	14	16

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	PIM	GA	SA	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Blomqvist	Roadrunners (UTA)	20	10	6	3	0.924	2.64	1158	4	51	673	0.667	3	20	10	1	3	1
2	Leevi Merilainen	Roadrunners (UTA)	11	6	4	1	0.887	3.37	658	0	37	328	1.000	3	10	20	0	0	0
Team Total or Average			31	16	10	4	0.912	2.91	1816	4	88	1001	0.833	6	30	30	1	3	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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
A.J. Greer	LW	28	1996-12-14	No	209 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Adam Sykora	C/LW	21	2004-09-07	Yes	179 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Aidan McDonough	LW/RW	25	1999-11-06	Yes	190 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Akito Hirose	D	26	1999-04-09	No	170 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Aleksanteri Kaskimaki	C	21	2004-02-06	Yes	181 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Brad Lambert	C/RW	21	2003-12-19	Yes	173 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Callum Tung	G	21	2003-11-23	No	198 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Christoffer Sedoff	D	23	2002-02-20	No	201 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Collin Graf	C/RW	23	2002-09-21	Yes	194 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
David Reinbacher	D	20	2004-10-25	Yes	209 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Declan Carlile	D	25	2000-05-18	No	192 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Helge Grans	D	23	2002-05-10	Yes	205 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	856,800$	0$	0$	No	Link / NHL Link
Jacob Perreault	RW	23	2002-04-15	Yes	192 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Joel Blomqvist	G	23	2002-01-10	Yes	200 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Justin Bailey	RW	30	1995-07-01	No	214 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Juuso Parssinen	C/LW	24	2001-02-01	No	212 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Leevi Merilainen	G	23	2002-08-13	Yes	186 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Liam Ohgren	LW	21	2004-01-28	Yes	187 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Luke Krys	D	25	2000-09-27	No	185 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Nate Clurman	D	27	1998-05-08	No	193 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Oskar Olausson	C/LW/RW	22	2002-11-10	Yes	180 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sam Morton	C/LW	26	1999-07-28	Yes	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Shakir Mukhamadullin	D	23	2002-01-10	Yes	200 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ville Heinola	D	24	2001-03-02	No	181 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	879,700$	0$	0$	No	Link / NHL Link
Wyatt Bongiovanni	C/LW	26	1999-07-24	No	194 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	23.76	192 Lbs	6 ft2	1.84	925,460$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sam Morton	Juuso Parssinen	Collin Graf	40	0	1	4
2	Liam Ohgren	Brad Lambert	Aidan McDonough	30	1	1	3
3	A.J. Greer	Wyatt Bongiovanni	Justin Bailey	20	1	2	2
4	Adam Sykora	Aleksanteri Kaskimaki	Oskar Olausson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	David Reinbacher	40	1	1	3
2	Declan Carlile	Helge Grans	30	1	2	2
3	Ville Heinola	Akito Hirose	20	1	2	2
4	Ville Heinola	Helge Grans	10	1	3	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aidan McDonough	Brad Lambert	Collin Graf	60	0	0	5
2	Sam Morton	Juuso Parssinen	Justin Bailey	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	David Reinbacher	60	0	1	4
2	Ville Heinola	Declan Carlile	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Juuso Parssinen	Collin Graf	60	1	3	1
2		Justin Bailey	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Reinbacher	Shakir Mukhamadullin	60	0	5	0
2	Declan Carlile	Helge Grans	40	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Collin Graf	60	1	4	0	David Reinbacher	Shakir Mukhamadullin	60	1	3	1
2	Juuso Parssinen	40	0	5	0	Declan Carlile	Helge Grans	40	1	3	1

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brad Lambert	Liam Ohgren	60	1	2	2
2	Sam Morton	Aidan McDonough	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Reinbacher	Shakir Mukhamadullin	60	1	2	2
2	Ville Heinola	Helge Grans	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Aidan McDonough	Juuso Parssinen	Collin Graf	David Reinbacher	Shakir Mukhamadullin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Morton	Juuso Parssinen	Collin Graf	David Reinbacher	Shakir Mukhamadullin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Justin Bailey, Collin Graf, Juuso Parssinen	Liam Ohgren, Brad Lambert	Collin Graf

Extra Defensemen
Normal	PowerPlay	Penalty Kill
David Reinbacher, Declan Carlile, Shakir Mukhamadullin	David Reinbacher	Shakir Mukhamadullin, David Reinbacher

Penalty Shots
Juuso Parssinen, Collin Graf, Brad Lambert, Liam Ohgren, Aidan McDonough

Goalie
#1 : Joel Blomqvist, #2 : Leevi Merilainen

Custom OT Lines Forwards
Juuso Parssinen, Brad Lambert, Collin Graf, Liam Ohgren, Aidan McDonough, Wyatt Bongiovanni, Wyatt Bongiovanni, Sam Morton, A.J. Greer, Oskar Olausson, Adam Sykora

Custom OT Lines Defensemen
David Reinbacher, Shakir Mukhamadullin, Ville Heinola, Declan Carlile, Helge Grans

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
30	36	W1	115	212	327	1240	1001	305	220	724	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	13	10	2	3	1	1	115	89

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	5	3	1	0	1	1	43	28

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	8	7	1	3	0	0	72	61

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
83	15	18.07%	83	19	77.11%	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
420	412	391	22	55	36	21	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
673	1204	55.90%	607	1041	58.31%	275	463	59.40%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
810	586	640	206	373	196

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
3 - 2025-10-09	18	Roadrunners	1	Eagles	4	L			BoxScore
5 - 2025-10-11	32	Roadrunners	8	Admirals	3	W			BoxScore
7 - 2025-10-13	48	Roadrunners	3	IceHogs	4	L	X		BoxScore
9 - 2025-10-15	60	Wranglers	2	Roadrunners	4	W			BoxScore
11 - 2025-10-17	75	Barracuda	3	Roadrunners	4	W	X	X	BoxScore
13 - 2025-10-19	92	Bruins	3	Roadrunners	5	W			BoxScore
15 - 2025-10-21	107	Eagles	5	Roadrunners	3	L			BoxScore
17 - 2025-10-23	117	Roadrunners	4	Thunderbirds	1	W			BoxScore
19 - 2025-10-25	131	Roadrunners	9	Wild	3	W			BoxScore
20 - 2025-10-26	143	Roadrunners	6	Moose	5	W			BoxScore
22 - 2025-10-28	162	Roadrunners	0	Condors	1	L			BoxScore
27 - 2025-11-02	194	Crunch	4	Roadrunners	3	L	X	X	BoxScore
29 - 2025-11-04	203	Roadrunners	3	Americans	2	W			BoxScore
30 - 2025-11-05	213	Roadrunners	4	Marlies	5	L			BoxScore
33 - 2025-11-08	235	Roadrunners	7	Rocket	3	W			BoxScore
34 - 2025-11-09	247	Roadrunners	2	Senators	3	L	X		BoxScore
37 - 2025-11-12	267	Americans	3	Roadrunners	2	L			BoxScore
39 - 2025-11-14	282	Sound Tigers	3	Roadrunners	4	W	X		BoxScore
42 - 2025-11-17	306	Roadrunners	4	Gulls	6	L			BoxScore
43 - 2025-11-18	314	Roadrunners	2	Barracuda	3	L			BoxScore
45 - 2025-11-20	327	Silver Knights	1	Roadrunners	9	W			BoxScore
47 - 2025-11-22	344	Wolf Pack	1	Roadrunners	4	W			BoxScore
49 - 2025-11-24	358	Silver Knights	1	Roadrunners	4	W			BoxScore
51 - 2025-11-26	372	Rocket	2	Roadrunners	1	L			BoxScore
53 - 2025-11-28	390	Roadrunners	3	Stars	1	W			BoxScore
54 - 2025-11-29	398	Roadrunners	5	Thunderbirds	4	W	X		BoxScore
56 - 2025-12-01	410	Roadrunners	3	Barracuda	4	L	X		BoxScore
58 - 2025-12-03	424	Roadrunners	3	Gulls	4	L			BoxScore
60 - 2025-12-05	439	Roadrunners	2	Comets	3	L			BoxScore
61 - 2025-12-06	448	Roadrunners	3	Wranglers	2	W			BoxScore
63 - 2025-12-08	462	Reign	-	Roadrunners	-
65 - 2025-12-10	478	Checkers	-	Roadrunners	-
67 - 2025-12-12	494	Firebirds	-	Roadrunners	-
69 - 2025-12-14	509	Roadrunners	-	Penguins	-
71 - 2025-12-16	519	Roadrunners	-	Bruins	-
72 - 2025-12-17	530	Roadrunners	-	Griffins	-
74 - 2025-12-19	547	Devils	-	Roadrunners	-
76 - 2025-12-21	569	Moose	-	Roadrunners	-
78 - 2025-12-23	584	Roadrunners	-	Eagles	-
84 - 2025-12-29	612	Admirals	-	Roadrunners	-
87 - 2026-01-01	633	Roadrunners	-	Sound Tigers	-
89 - 2026-01-03	645	Roadrunners	-	Devils	-
91 - 2026-01-05	662	Roadrunners	-	Wolf Pack	-
93 - 2026-01-07	680	Senators	-	Roadrunners	-
95 - 2026-01-09	696	Thunderbirds	-	Roadrunners	-
97 - 2026-01-11	714	Monsters	-	Roadrunners	-
99 - 2026-01-13	733	Marlies	-	Roadrunners	-
101 - 2026-01-15	746	Stars	-	Roadrunners	-
103 - 2026-01-17	757	Firebirds	-	Roadrunners	-
107 - 2026-01-21	790	Phantoms	-	Roadrunners	-
110 - 2026-01-24	811	Roadrunners	-	Admirals	-
112 - 2026-01-26	825	Roadrunners	-	Crunch	-
113 - 2026-01-27	834	Roadrunners	-	Checkers	-
115 - 2026-01-29	850	Roadrunners	-	Wolves	-
117 - 2026-01-31	870	Stars	-	Roadrunners	-
119 - 2026-02-02	884	Comets	-	Roadrunners	-
121 - 2026-02-04	898	Griffins	-	Roadrunners	-
142 - 2026-02-25	914	Eagles	-	Roadrunners	-
144 - 2026-02-27	932	Wild	-	Roadrunners	-
146 - 2026-03-01	948	IceHogs	-	Roadrunners	-
148 - 2026-03-03	962	Roadrunners	-	Bears	-
150 - 2026-03-05	976	Roadrunners	-	Phantoms	-
152 - 2026-03-07	995	Roadrunners	-	Monsters	-
154 - 2026-03-09	1010	Roadrunners	-	IceHogs	-
155 - 2026-03-10	1021	Roadrunners	-	Wild	-
157 - 2026-03-12	1037	IceHogs	-	Roadrunners	-
159 - 2026-03-14	1054	Penguins	-	Roadrunners	-
161 - 2026-03-16	1066	Roadrunners	-	Stars	-
164 - 2026-03-19	1091	Roadrunners	-	Silver Knights	-
165 - 2026-03-20	1098	Gulls	-	Roadrunners	-
167 - 2026-03-22	1118	Reign	-	Roadrunners	-
169 - 2026-03-24	1133	Condors	-	Roadrunners	-
171 - 2026-03-26	1146	Bears	-	Roadrunners	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1164	Roadrunners	-	Reign	-
178 - 2026-04-02	1203	Roadrunners	-	Firebirds	-
180 - 2026-04-04	1216	Roadrunners	-	Comets	-
183 - 2026-04-07	1241	Condors	-	Roadrunners	-
185 - 2026-04-09	1257	Admirals	-	Roadrunners	-
187 - 2026-04-11	1269	Wolves	-	Roadrunners	-
188 - 2026-04-12	1281	Roadrunners	-	Wranglers	-
190 - 2026-04-14	1297	Moose	-	Roadrunners	-
192 - 2026-04-16	1309	Thunderbirds	-	Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	20
Attendance	20,101	10,109
Attendance PCT	91.37%	91.90%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-1	2746 - 91.55%	94,718$	1,041,903$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
960,607$	2,313,650$	2,313,650$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	795,609$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-94,718$	130	14,654$	1,905,020$

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
Regular Season
2024	82	38	32	0	5	3	3	1	288	265	23	41	20	16	0	2	2	1	0	146	125	21	41	18	16	0	3	1	2	1	142	140	2	96	288	502	790	3	1	105	97	78	11	2963	955	946	1030	48	2687	824	552	1992	274	57	20.80%	232	54	76.72%	2	1576	3111	50.66%	1412	2895	48.77%	670	1384	48.41%	2052	1442	1845	595	1054	534
2025	30	13	10	0	2	3	1	1	115	89	26	11	5	3	0	1	0	1	1	43	28	15	19	8	7	0	1	3	0	0	72	61	11	36	115	212	327	0	0	55	36	21	3	1240	420	412	391	22	1001	305	220	724	83	15	18.07%	83	19	77.11%	1	673	1204	55.90%	607	1041	58.31%	275	463	59.40%	810	586	640	206	373	196
Total Regular Season	112	51	42	0	7	6	4	2	403	354	49	52	25	19	0	3	2	2	1	189	153	36	60	26	23	0	4	4	2	1	214	201	13	132	403	714	1117	3	1	160	133	99	14	4203	1375	1358	1421	70	3688	1129	772	2716	357	72	20.17%	315	73	76.83%	3	2249	4315	52.12%	2019	3936	51.30%	945	1847	51.16%	2862	2028	2485	801	1428	730
Playoff
2024	12	6	6	0	0	0	0	0	41	43	-2	6	4	2	0	0	0	0	0	21	18	3	6	2	4	0	0	0	0	0	20	25	-5	12	41	76	117	0	0	18	8	14	1	426	145	126	136	19	403	135	88	277	33	9	27.27%	41	7	82.93%	0	225	452	49.78%	206	437	47.14%	102	212	48.11%	297	207	293	92	163	80
Total Playoff	12	6	6	0	0	0	0	0	41	43	-2	6	4	2	0	0	0	0	0	21	18	3	6	2	4	0	0	0	0	0	20	25	-5	12	41	76	117	0	0	18	8	14	1	426	145	126	136	19	403	135	88	277	33	9	27.27%	41	7	82.93%	0	225	452	49.78%	206	437	47.14%	102	212	48.11%	297	207	293	92	163	80