Mammoth
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Gorillas
0-0-0, 0pts

Day 3

Roadrunners
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Roadrunners
0-0-0, 0pts

Day 5

Griffins
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Roadrunners
0-0-0, 0pts

Day 6

Bills
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Martin - Interims GM
	Coach	Jeremy Colliton
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,500
	Attendance
	Season Tickets	850
Roster Info
	Pro Team	29
	Farm Team	21
	Contract Limit	50 / 65
	Prospects	23

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	Andrew Agozzino		X	X		100.00	66	50	91	70	70	75	88	63	64	64	63	71	65	77	77	0	99	0	0	34	1	785,000$
2	Matthew DiMarsico	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	61	0	99	0	0	21	2	650,000$
3	Herman Traff		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	58	0	99	0	0	20	3	1,000,000$
4	Danila Klimovich	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	64	63	0	99	0	0	22	2	1,378,125$
5	Anton Blidh		X	X		100.00	70	50	87	61	73	75	91	62	61	62	62	70	65	61	69	0	99	0	0	30	1	700,000$
6	Adam Erne		X	X		100.00	86	54	91	70	79	77	83	70	61	65	69	74	65	61	67	0	96	0	0	30	2	1,100,000$
7	John Hayden	X				100.00	69	50	77	63	84	77	92	63	71	63	63	73	65	57	62	0	99	0	0	30	1	800,000$
8	Brendan Brisson	X				100.00	60	50	86	69	71	77	92	64	61	64	64	67	65	45	60	0	99	0	0	24	1	1,378,125$
9	Martin Misiak		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	21	1	975,000$
10	Denver Barkey	X				100.00	70	50	92	83	65	80	91	74	61	71	68	68	65	42	57	0	99	0	1	20	1	825,000$
11	Jack Musa	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	22	1	725,000$
12	CJ Foley				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	61	0	99	0	0	21	2	650,000$
13	Jack Ahcan				X	100.00	60	50	88	73	67	78	93	68	25	71	65	68	65	60	71	0	99	0	0	28	2	1,250,000$
14	Alexander Alexeyev				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	60	66	0	99	0	0	26	1	997,500$
15	Calen Addison				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	62	66	0	99	0	0	25	1	1,837,500$
16	Wyatt Aamodt				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	55	60	0	99	0	0	28	1	1,000,000$
17	Carter Yakemchuk				X	100.00	60	50	89	73	83	81	88	65	25	68	63	68	65	48	57	0	99	0	0	20	2	1,500,000$
18	Adam Jiricek				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	59	0	99	0	0	19	2	1,500,000$
Scratches
1	Blake Montgomery		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	58	0	99	0	0	20	3	900,000$
2	Samuel Poulin		X	X		100.00	62	50	88	70	82	80	93	63	61	64	63	73	65	56	64	0	99	0	0	24	1	1,736,438$
3	Kalan Lind		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	20	1	1,250,000$
4	Daniil Orlov				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	59	0	99	0	0	22	2	900,000$
5	Colin Ralph				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	44	57	0	99	0	0	20	3	1,550,000$
6	Ben Danford				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	19	2	1,250,000$
7	Niilopekka Muhonen				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	59	0	99	0	0	19	2	700,000$

	TEAM AVERAGE					100.00	63	57	70	64	65	73	77	62	58	62	62	64	62	53	62	0	99	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Leevi Merilainen	100.00	65	77	73	80	79	64	67	64	62	62	72	50	65	0	99	0	0	23	2	1,250,000$
2	Jakub Malek	100.00	60	70	70	60	60	60	60	60	60	60	60	55	61	0	99	0	1	23	2	800,000$
Scratches
1	Max Lundgren	100.00	60	70	70	60	60	60	60	60	60	60	60	53	63	0	99	0	0	23	2	650,000$
2	Nathaniel Day	100.00	60	70	70	60	60	60	60	60	60	60	60	57	61	0	99	0	0	20	2	650,000$

	TEAM AVERAGE	100.00	61	72	71	65	65	61	62	61	61	61	63	54	63	0	99	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Colliton	68	76	71	84	67	72	1	CAN	43	2	600,000$

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 Remaining	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
Adam Erne	Roadrunners (UTA)	LW/RW	30	1995-04-20	USA	No	209 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-11-06	False	False	Pro & Farm	1,100,000$	1,100,000$	110,000$	110,000$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Adam Jiricek	Roadrunners (UTA)	D	19	2006-06-28	CZE	No	179 Lbs	6 ft0	No	No	Draft		No	No	2	2025-08-30	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexander Alexeyev	Roadrunners (UTA)	D	26	1999-11-15	RUS	No	213 Lbs	6 ft4	No	No	N/A		No	No	1	2026-08-18	False	False	Pro & Farm	997,500$	997,500$	99,750$	99,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrew Agozzino	Roadrunners (UTA)	LW/RW	34	1991-01-05	CAN	No	187 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-11-06	False	False	Pro & Farm	785,000$	785,000$	78,500$	78,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Anton Blidh (1 Way Contract)	Roadrunners (UTA)	LW/RW	30	1995-03-14	SWE	No	191 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-11-06	False	False	Pro & Farm	700,000$	700,000$	700,000$	700,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ben Danford	Roadrunners (UTA)	D	19	2006-02-06	CAN	No	194 Lbs	6 ft0	No	No	Draft		No	No	2	2025-08-30	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Blake Montgomery	Roadrunners (UTA)	LW/RW	20	2005-05-04	USA	No	196 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-08-06	False	False	Pro & Farm	900,000$	900,000$	90,000$	90,000$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Brendan Brisson	Roadrunners (UTA)	C	24	2001-10-22	USA	No	188 Lbs	6 ft0	No	No	N/A		No	No	1	2026-08-18	False	False	Pro & Farm	1,378,125$	1,378,125$	137,812$	137,812$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
CJ Foley	Roadrunners (UTA)	D	21	2004-02-11	USA	No	174 Lbs	5 ft9	No	No	Assign Manually		No	No	2	2025-11-16	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Calen Addison	Roadrunners (UTA)	D	25	2000-04-11	CAN	No	173 Lbs	5 ft11	No	No	N/A		No	No	1	2026-08-18	False	False	Pro & Farm	1,837,500$	1,837,500$	183,750$	183,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carter Yakemchuk	Roadrunners (UTA)	D	20	2005-09-29	CAN	No	219 Lbs	6 ft3	No	No	Draft		No	No	2	2025-08-30	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Colin Ralph	Roadrunners (UTA)	D	20	2005-10-04	USA	No	229 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-08-06	False	False	Pro & Farm	1,550,000$	1,550,000$	155,000$	155,000$	No	1,550,000$	1,550,000$	-	-	-	-	-	-	-	1,550,000$	1,550,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Daniil Orlov	Roadrunners (UTA)	D	22	2003-12-21	RUS	No	196 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2026-08-06	False	False	Pro & Farm	900,000$	900,000$	90,000$	90,000$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Danila Klimovich	Roadrunners (UTA)	C	22	2003-01-09	BLR	No	205 Lbs	6 ft2	No	No	N/A		No	No	2	2026-08-18	False	False	Pro & Farm	1,378,125$	1,378,125$	137,812$	137,812$	No	1,378,125$	-	-	-	-	-	-	-	-	1,378,125$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Denver Barkey	Roadrunners (UTA)	C	20	2005-04-27	CAN	No	171 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Herman Traff	Roadrunners (UTA)	LW/RW	20	2005-12-31	SWE	No	216 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-08-06	False	False	Pro & Farm	1,000,000$	1,000,000$	100,000$	100,000$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jack Ahcan	Roadrunners (UTA)	D	28	1997-05-18	USA	No	180 Lbs	5 ft8	No	No	Assign Manually		No	No	2	2025-10-31	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jack Musa	Roadrunners (UTA)	C/LW/RW	22	2003-07-22	USA	No	172 Lbs	5 ft10	No	No	Free Agent		No	No	1	2025-07-04	False	False	Pro & Farm	725,000$	725,000$	72,500$	72,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jakub Malek	Roadrunners (UTA)	G	23	2002-04-11	CZE	No	190 Lbs	6 ft4	No	No	N/A		No	No	2	2026-08-18	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
John Hayden	Roadrunners (UTA)	C	30	1995-02-14	USA	No	223 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-11-09	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kalan Lind	Roadrunners (UTA)	LW/RW	20	2005-01-25	CAN	No	159 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Leevi Merilainen	Roadrunners (UTA)	G	23	2002-08-13	FIN	No	196 Lbs	6 ft2	No	No	N/A		No	No	2	2026-08-18	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Martin Misiak	Roadrunners (UTA)	LW/RW	21	2004-09-30	SVK	No	201 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matthew DiMarsico	Roadrunners (UTA)	C	21	2004-01-07	USA	No	181 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2025-11-16	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Max Lundgren	Roadrunners (UTA)	G	23	2002-04-03	SWE	No	229 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-11-16	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nathaniel Day	Roadrunners (UTA)	G	20	2005-02-04	CAN	No	205 Lbs	6 ft2	No	No	Prospect		No	No	2	2025-08-30	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Niilopekka Muhonen	Roadrunners (UTA)	D	19	2006-02-28	FIN	No	214 Lbs	6 ft3	No	No	Draft		No	No	2	2025-08-30	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Samuel Poulin	Roadrunners (UTA)	LW/RW	24	2001-02-25	CAN	No	217 Lbs	6 ft2	No	No	Trade	2026-09-23	No	No	1	2026-08-02	False	False	Pro & Farm	1,736,438$	1,736,438$	173,644$	173,644$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Wyatt Aamodt	Roadrunners (UTA)	D	28	1997-11-22	USA	No	201 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-11-08	False	False	Pro & Farm	1,000,000$	1,000,000$	100,000$	100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	23.24	197 Lbs	6 ft1	1.69	1,058,196$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				28	1	2	2
2				28	1	2	2
3				25	1	2	2
4				19	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			28	1	2	2
2			28	1	2	2
3			25	1	2	2
4			19	1	2	2

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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			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			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			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			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
, ,	,

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
	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
3	17	Gorillas	-	Roadrunners	-
5	34	Roadrunners	-	Griffins	-
6	43	Roadrunners	-	Bills	-
8	61	Blood Miners	-	Roadrunners	-
10	81	Bulldogs	-	Roadrunners	-
13	99	Roadrunners	-	Bulldogs	-
14	114	Crunch	-	Roadrunners	-
16	129	Roadrunners	-	White Wolves	-
17	135	Roadrunners	-	Silver Knights	-
20	152	White Wolves	-	Roadrunners	-
23	175	Gorillas	-	Roadrunners	-
26	191	Roadrunners	-	Gorillas	-
28	208	Rocket	-	Roadrunners	-
30	223	Roadrunners	-	Silver Knights	-
32	238	Blood Miners	-	Roadrunners	-
34	250	Roadrunners	-	Crunch	-
36	266	Roadrunners	-	Mountaineers	-
38	278	Octopus	-	Roadrunners	-
40	296	Rocket	-	Roadrunners	-
43	321	Roadrunners	-	Octopus	-
45	335	Eagles	-	Roadrunners	-
48	357	Saints	-	Roadrunners	-
52	384	Roadrunners	-	Rocket	-
53	391	Crunch	-	Roadrunners	-
56	412	Roadrunners	-	Moose	-
57	422	Bulldogs	-	Roadrunners	-
60	439	Roadrunners	-	Eagles	-
62	454	Titans	-	Roadrunners	-
64	469	Roadrunners	-	Bulldogs	-
66	485	Griffins	-	Roadrunners	-
68	502	Roadrunners	-	Silver Knights	-
70	518	Roadrunners	-	White Wolves	-
71	527	Wolf Pack	-	Roadrunners	-
75	551	Roadrunners	-	Reign	-
76	560	Gorillas	-	Roadrunners	-
79	582	Roadrunners	-	Gorillas	-
80	591	Bulldogs	-	Roadrunners	-
83	615	Bills	-	Roadrunners	-
86	632	Roadrunners	-	Americans	-
88	648	Blossom Bytes	-	Roadrunners	-
90	662	Roadrunners	-	Crunch	-
91	675	Roadrunners	-	Sens	-
93	685	Silver Knights	-	Roadrunners	-
97	710	Rams	-	Roadrunners	-
100	734	Roadrunners	-	Whalers	-
101	746	White Wolves	-	Roadrunners	-
104	770	Griffins	-	Roadrunners	-
106	783	Roadrunners	-	Gulls	-
108	802	Wolves	-	Roadrunners	-
109	809	Roadrunners	-	Redhawks	-
112	830	Roadrunners	-	Bills	-
114	841	Crunch	-	Roadrunners	-
117	864	Mountaineers	-	Roadrunners	-
119	877	Roadrunners	-	Moose	-
122	900	Octopus	-	Roadrunners	-
125	922	Roadrunners	-	White Wolves	-
126	931	Reign	-	Roadrunners	-
129	952	Roadrunners	-	Griffins	-
130	961	Roadrunners	-	Wolf Pack	-
131	970	Mountaineers	-	Roadrunners	-
134	986	Roadrunners	-	Griffins	-
136	1002	Phantoms	-	Roadrunners	-
138	1018	Roadrunners	-	Pens	-
139	1028	Roadrunners	-	Bears	-
141	1041	Grisards	-	Roadrunners	-
144	1063	Reign	-	Roadrunners	-
148	1087	Roadrunners	-	Bills	-
149	1098	Redhawks	-	Roadrunners	-
153	1124	Blood Miners	-	Roadrunners	-
155	1138	Roadrunners	-	Eagles	-
157	1153	Roadrunners	-	Admirals	-
158	1161	Redhawks	-	Roadrunners	-
163	1185	Roadrunners	-	Blood Miners	-
164	1190	Roadrunners	-	Saints	-
165	1200	Bills	-	Roadrunners	-
Trade Deadline --- Trades can’t be done after this day is simulated!
168	1219	Norsemen	-	Roadrunners	-
169	1222	Roadrunners	-	Blood Miners	-
172	1244	Roadrunners	-	Saints	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	5000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0%	0$	0$	8500	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,998,768$	2,998,768$	600,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
20,683$	0$	28	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	174	20,683$	3,598,842$

Roadrunners 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

Roadrunners 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

Roadrunners 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

Roadrunners 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

Roadrunners 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

	Roadrunners
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Martin - Interims GM \| Morale : 99 \| Team Overall : N/A Next Games #17 vs Gorillas