Mammoth
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats
Web Lines Editor

Game Center
	Condors 4-12-0, 8pts	8	FINAL	4	Roadrunners 2-13-1, 5pts

Team Stats
L1	Streak	L5
2-6-0	Home Record	1-7-0
2-6-0	Home Record	1-6-1
3-7-0	Last 10 Games	0-9-1
3.56	Goals Per Game	2.63
6.31	Goals Against Per Game	5.50
15.00%	Power Play Percentage	20.27%
70.97%	Penalty Kill Percentage	75.00%

Barracuda
11-5-0, 22pts

FINAL

Roadrunners
2-13-1, 5pts

Team Stats
W2	Streak	L5
6-2-0	Home Record	1-7-0
5-3-0	Home Record	1-6-1
7-3-0	Last 10 Games	0-9-1
4.44	Goals Per Game	2.63
1.81	Goals Against Per Game	5.50
16.28%	Power Play Percentage	20.27%
89.77%	Penalty Kill Percentage	75.00%

Team Leaders
	Goals Kevin Connauton 10	Assists Kevin Connauton 8

	Points Kevin Connauton 18	Plus/Minus Ruslan Iskhakov -10

Team Stats
Goals For 42 2.63 GFG	Shots For 330 20.63 Avg	Power Play Percentage 20.3% 15 GF	Offensive Zone Start 34.6%
Goals Against 88 5.50 GAA	Shots Against 494 30.88 Avg	Penalty Kill Percentage 75.0%% 14 GA	Defensive Zone Start 39.0%

Team Info
	General Manager	Jimmy
	Coach	Jeff Halpern
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	10
	Farm Team	20
	Contract Limit	30 / 51
	Prospects	27
Team History
	This Season	2-13-1 (5PTS)
	History	0-0-0


	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	Elmer Soderblom (R)	X	X			100.00	82	47	92	68	93	65	81	63	34	72	68	64	25	48	48	71	50	65	0	24	1	925,000$
2	Ruslan Iskhakov	X				100.00	63	53	87	64	53	81	86	63	79	61	62	58	59	44	44	64	50	61	0	25	1	925,000$
3	Lukas Rousek			X		100.00	75	72	82	69	72	81	87	57	50	62	47	63	45	44	44	60	50	60	0	26	2	830,000$
4	Denton Mateychuk (R)				X	100.00	67	42	86	73	67	75	89	65	25	54	50	81	25	48	48	64	50	67	0	21	3	886,666$
5	Robert Bortuzzo				X	100.00	77	99	65	71	81	55	44	58	25	50	47	77	25	74	77	58	50	65	0	36	1	850,000$
6	Kevin Gravel				X	100.00	80	78	85	68	78	76	83	51	25	43	41	68	39	59	60	57	50	64	0	33	1	775,000$
7	Kevin Connauton				X	100.00	71	75	61	65	75	66	71	49	25	39	43	59	41	44	45	52	50	57	0	35	1	775,000$
8	Peter DiLiberatore				X	100.00	73	68	84	63	68	39	38	43	25	28	43	58	41	44	44	49	50	52	0	25	2	925,000$
Scratches

	TEAM AVERAGE					100.00	74	67	80	68	73	67	72	56	36	51	50	66	38	51	51	59	50	61

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	TA	SP	Age	Contract	Salary
1	Leevi Merilainen (R)	100.00	68	60	58	76	76	61	73	68	76	68	75	45	45	71	50	66		0	23	1	820,000$
2	Keith Petruzzelli	100.00	44	40	50	83	45	89	45	49	90	81	45	44	44	60	50	61	N	0	26	3	775,000$
Scratches

	TEAM AVERAGE	100.00	56	50	54	80	61	75	59	59	83	75	60	45	45	66	50	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Halpern	72	69	78	65	72	67	78	USA	48	3	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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	S1	S2	S3
1	Kevin Connauton	Roadrunners (UTA)	D	16	10	8	18	-19	24	0	57	34	49	11	19	20.41%	25	324	20.30	4	3	7	25	57	0	35	1	0	0%	0	2	1.11	0	0	0	0	1	1	0
2	Ruslan Iskhakov	Roadrunners (UTA)	C	16	8	8	16	-10	10	0	22	40	47	15	44	17.02%	6	264	16.56	2	1	3	7	12	0	2	0	1	61.00%	241	1	1.21	0	1	0	0	1	1	0
3	Robert Bortuzzo	Roadrunners (UTA)	D	16	8	3	11	-13	21	5	55	25	38	9	17	21.05%	15	321	20.07	4	1	5	27	43	0	22	0	0	0%	0	0	0.69	0	0	1	0	0	1	1
4	Lukas Rousek	Roadrunners (UTA)	RW	16	3	7	10	-10	8	0	34	29	28	11	21	10.71%	7	229	14.32	1	1	2	1	10	1	2	0	0	43.75%	16	0	0.87	1	1	0	0	0	0	1
5	Peter DiLiberatore	Roadrunners (UTA)	D	16	4	4	8	-16	29	5	65	34	24	10	17	16.67%	32	246	15.43	1	1	2	9	19	0	0	0	0	0%	0	0	0.65	0	0	0	1	0	0	1
6	Kevin Gravel	Roadrunners (UTA)	D	16	2	6	8	-13	18	0	36	24	24	8	13	8.33%	14	323	20.25	1	4	5	21	46	0	24	0	0	0%	0	0	0.49	0	0	0	0	0	0	0
Team Total or Average				96	35	36	71	-81	110	10	269	186	210	64	131	16.67%	99	1710	17.82	13	11	24	90	189	1	87	1	1	59.92%	257	3	0.83	1	2	1	1	2	3	3

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	Link
Denton Mateychuk	Roadrunners (UTA)	D	21	2004-07-12	CAN	Yes	185 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-08-27	False	False	Pro & Farm	886,666$	886,666$	0$	0$	No	886,666$	886,666$	-	-	-	-	-	-	-	886,666$	886,666$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Elmer Soderblom	Roadrunners (UTA)	C/LW	24	2001-07-05	SWE	Yes	246 Lbs	6 ft8	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Keith Petruzzelli	Roadrunners (UTA)	G	26	1999-02-09	USA	No	190 Lbs	6 ft6	Yes	No	Free Agent		No	No	3	2025-08-27	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Link
Kevin Connauton	Roadrunners (UTA)	D	35	1990-02-23	CAN	No	200 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-08-19	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Gravel	Roadrunners (UTA)	D	33	1992-03-06	USA	No	205 Lbs	6 ft4	No	No	Free Agent		No	No	1	2025-08-19	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Leevi Merilainen	Roadrunners (UTA)	G	23	2002-08-13	FIN	Yes	186 Lbs	6 ft3	No	No	Assign Manually		No	No	1		False	False	Pro & Farm	820,000$	820,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lukas Rousek	Roadrunners (UTA)	RW	26	1999-04-20	CZE	No	202 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2024-07-07	False	False	Pro & Farm	830,000$	830,000$	0$	0$	No	830,000$	-	-	-	-	-	-	-	-	830,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Peter DiLiberatore	Roadrunners (UTA)	D	25	2000-03-31	NS	No	185 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2024-07-07	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Robert Bortuzzo	Roadrunners (UTA)	D	36	1989-03-18	CAN	No	206 Lbs	6 ft4	No	No	Free Agent	2024-02-11	No	No	1	2024-08-11	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ruslan Iskhakov	Roadrunners (UTA)	C	25	2000-07-22	RUS	No	152 Lbs	5 ft7	No	No	Assign Manually		No	No	1	2024-03-29	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
10	27.40	196 Lbs	6 ft2	1.60	848,667$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2		Ruslan Iskhakov	Lukas Rousek	30	1	2	2
3				20	1	2	2
4			Ruslan Iskhakov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Kevin Gravel	40	1	2	2
2	Kevin Connauton		30	1	2	2
3	Peter DiLiberatore		20	1	2	2
4	Robert Bortuzzo	Kevin Gravel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2		Ruslan Iskhakov	Lukas Rousek	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Kevin Gravel	60	1	2	2
2	Kevin Connauton		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Ruslan Iskhakov	Lukas Rousek	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Kevin Gravel	60	1	2	2
2	Kevin Connauton		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	Robert Bortuzzo	Kevin Gravel	60	1	2	2
2		40	1	2	2	Kevin Connauton		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Ruslan Iskhakov	Lukas Rousek	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Kevin Gravel	60	1	2	2
2	Kevin Connauton		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			Robert Bortuzzo	Kevin Gravel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
			Robert Bortuzzo	Kevin Gravel

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Lukas Rousek, Ruslan Iskhakov	, Lukas Rousek	Ruslan Iskhakov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Peter DiLiberatore, Kevin Connauton,	Peter DiLiberatore	Kevin Connauton,

Penalty Shots
, , Ruslan Iskhakov, Lukas Rousek,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Ruslan Iskhakov, Lukas Rousek, , , , , ,

Custom OT Lines Defensemen
Robert Bortuzzo, Kevin Gravel, Kevin Connauton, , Peter DiLiberatore

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	Barracuda	5	0	5	0	0	0	0	0	8	27	-19	3	0	3	0	0	0	0	0	0	10	-10	2	0	2	0	0	0	0	0	8	17	-9	0	0.000	8	11	19	0	0	14	20	8	1	95	115	120	91	7	147	41	44	80	28	3	10.71%	22	6	72.73%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
2	Condors	2	0	1	0	0	0	0	1	9	14	-5	1	0	1	0	0	0	0	0	4	8	-4	1	0	0	0	0	0	0	1	5	6	-1	1	0.250	9	16	25	0	0	14	20	8	1	57	115	120	91	7	61	17	28	42	5	2	40.00%	9	2	77.78%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
3	Eagles	2	0	2	0	0	0	0	0	6	13	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	6	8	14	0	0	14	20	8	1	34	115	120	91	7	67	16	16	40	9	3	33.33%	6	1	83.33%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
4	Gulls	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	7	3	4	4	1.000	12	20	32	0	0	14	20	8	1	72	115	120	91	7	53	11	2	46	0	0	0%	1	0	100.00%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
5	Reign	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	14	20	8	1	21	115	120	91	7	65	20	23	35	14	1	7.14%	9	3	66.67%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
6	Wranglers	3	0	3	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	2	9	-7	0	0.000	6	11	17	0	0	14	20	8	1	51	115	120	91	7	101	27	16	53	18	6	33.33%	9	2	77.78%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
	Total	16	2	13	0	0	0	0	1	42	88	-46	8	1	7	0	0	0	0	0	16	38	-22	8	1	6	0	0	0	0	1	26	50	-24	5	0.156	42	68	110	0	0	14	20	8	1	330	115	120	91	7	494	132	129	296	74	15	20.27%	56	14	75.00%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
	_Since Last GM Reset	16	2	13	0	0	0	0	1	42	88	-46	8	1	7	0	0	0	0	0	16	38	-22	8	1	6	0	0	0	0	1	26	50	-24	5	0.156	42	68	110	0	0	14	20	8	1	330	115	120	91	7	494	132	129	296	74	15	20.27%	56	14	75.00%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81
	_Vs Conference	16	2	13	0	0	0	0	1	42	88	-46	8	1	7	0	0	0	0	0	16	38	-22	8	1	6	0	0	0	0	1	26	50	-24	5	0.156	42	68	110	0	0	14	20	8	1	330	115	120	91	7	494	132	129	296	74	15	20.27%	56	14	75.00%	0	120	345	34.78%	126	389	32.39%	103	264	39.02%	323	228	462	112	179	81

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	5	L5	42	68	110	330	494	132	129	296	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	2	13	0	0	0	1	42	88

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	7	0	0	0	0	16	38

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	6	0	0	0	1	26	50

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	9	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
74	15	20.27%	56	14	75.00%	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
115	120	91	7	14	20	8	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
120	345	34.78%	126	389	32.39%	103	264	39.02%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
323	228	462	112	179	81

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	3	Roadrunners	4	Barracuda	10	L			BoxScore
2	16	Roadrunners	0	Wranglers	3	L			BoxScore
3	30	Barracuda	3	Roadrunners	0	L			BoxScore
4	52	Roadrunners	7	Gulls	3	W			BoxScore
5	59	Reign	6	Roadrunners	1	L			BoxScore
7	81	Gulls	3	Roadrunners	5	W			BoxScore
8	98	Roadrunners	4	Barracuda	7	L			BoxScore
10	117	Barracuda	3	Roadrunners	0	L			BoxScore
11	129	Roadrunners	2	Wranglers	6	L			BoxScore
12	144	Eagles	5	Roadrunners	2	L			BoxScore
14	157	Roadrunners	5	Condors	6	L	X	X	BoxScore
15	176	Wranglers	6	Roadrunners	4	L			BoxScore
18	205	Roadrunners	0	Reign	7	L			BoxScore
19	214	Roadrunners	4	Eagles	8	L			BoxScore
20	224	Condors	8	Roadrunners	4	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
24	250	Barracuda	4	Roadrunners	0	L			BoxScore

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

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	848,667$	848,667$	600,000$0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

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: 16 \| W: 2 \| L: 13 \| OTL: 1 \| P: 5 GF: 42 \| GA: 88 \| PP%: 20.27% \| PK%: 75.00% GM : Jimmy \| Morale : 50 \| Team Overall : 62