Utah Mammoth
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Americiens 16-8-1, 33pts	1	FINAL	7	Roadrunners 20-7-1, 41pts

Team Stats
L2	Streak	L1
9-5-0	Home Record	11-2-0
7-3-1	Home Record	9-5-1
7-3-0	Last 10 Games	7-2-1
4.84	Goals Per Game	3.89
4.40	Goals Against Per Game	2.93
28.07%	Power Play Percentage	29.41%
76.81%	Penalty Kill Percentage	86.15%

Roadrunners
20-7-1, 41pts

FINAL

Nordiks
16-12-1, 33pts

Team Stats
L1	Streak	W2
11-2-0	Home Record	6-7-0
9-5-1	Home Record	10-5-1
7-2-1	Last 10 Games	6-4-0
3.89	Goals Per Game	5.59
2.93	Goals Against Per Game	5.07
29.41%	Power Play Percentage	29.31%
86.15%	Penalty Kill Percentage	71.95%

Fighting Pandas
14-9-4, 32pts

Day 61

Roadrunners
20-7-1, 41pts

Team Stats
OTL1	Streak	L1
6-4-4	Home Record	11-2-0
8-5-0	Away Record	9-5-1
4-3-3	Last 10 Games	7-2-1
4.33	Goals Per Game	3.89
3.78	Goals Against Per Game	3.89
31.37%	Power Play Percentage	29.41%
83.13%	Penalty Kill Percentage	86.15%

Lynx
17-10-0, 34pts

Day 65

Roadrunners
20-7-1, 41pts

Team Stats
W2	Streak	L1
9-5-0	Home Record	11-2-0
8-5-0	Away Record	9-5-1
6-4-0	Last 10 Games	7-2-1
4.63	Goals Per Game	3.89
3.59	Goals Against Per Game	3.89
30.51%	Power Play Percentage	29.41%
91.18%	Penalty Kill Percentage	86.15%

Roadrunners
20-7-1, 41pts

Day 67

Nordiks
16-12-1, 33pts

Team Stats
L1	Streak	W2
11-2-0	Home Record	6-7-0
9-5-1	Away Record	10-5-1
7-2-1	Last 10 Games	6-4-0
3.89	Goals Per Game	5.59
2.93	Goals Against Per Game	5.59
29.41%	Power Play Percentage	29.31%
86.15%	Penalty Kill Percentage	71.95%

Team Leaders
	Goals Ondrej Palat 18	Assists Brandt Clarke 29

	Points Brandt Clarke 36	Plus/Minus Brandt Clarke 9

	Wins Jet Greaves 19	Save Percentage Jet Greaves 0.909

Team Stats
Goals For 109 3.89 GFG	Shots For 913 32.61 Avg	Power Play Percentage 29.4% 20 GF	Offensive Zone Start 41.5%
Goals Against 82 2.93 GAA	Shots Against 894 31.93 Avg	Penalty Kill Percentage 86.2%% 9 GA	Defensive Zone Start 38.2%

Team Info
	General Manager	Greg Vandersteen
	Coach	Dave Semenko
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1	Gustav Nyquist
	Assistant #2	Nico Sturm
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 50
	Prospects	37

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	Cutter Gauthier (R)		X			98.00	68	56	87	72	73	74	92	71	50	70	72	64	54	54	59	0	78	66	0	21	2	500,000$
2	Gustav Nyquist (A)			X		100.00	61	55	90	67	62	80	91	68	50	66	64	68	63	81	77	0	84	65	0	36	3	500,000$
3	Nico Sturm (A)	X				100.00	77	66	91	67	75	67	75	70	77	63	60	67	50	73	71	0	81	64	0	30	4	500,000$
4	Anthony Mantha			X		99.00	67	69	77	63	84	66	54	69	50	59	69	56	63	72	73	0	77	61	0	31	4	2,000,000$
5	Tyson Jost	X				100.00	69	61	77	66	66	65	62	71	60	62	56	60	50	65	65	0	80	60	0	27	3	500,000$
6	David Gustafsson	X				100.00	60	69	96	65	70	62	60	68	67	60	52	62	50	63	63	0	79	59	0	25	3	500,000$
7	Akil Thomas (R)	X				100.00	73	70	96	63	69	64	56	63	51	56	49	58	50	62	62	0	76	57	0	25	3	500,000$
8	Joey Anderson			X		100.00	59	50	99	57	74	64	55	52	50	52	50	64	50	67	69	0	78	55	0	27	1	500,000$
9	Nikita Chibrikov (R)			X		100.00	49	35	90	58	60	50	51	50	50	49	53	49	51	56	64	0	76	51	0	22	2	500,000$
10	Brandt Clarke				X	100.00	58	61	71	73	73	70	90	74	50	73	55	72	56	58	62	0	82	66	0	22	1	500,000$
11	Sam Malinski				X	100.00	66	57	89	63	67	69	88	67	50	61	54	72	56	67	68	0	81	64	0	27	3	500,000$
12	Philippe Myers				X	100.00	79	67	85	60	79	68	63	64	50	55	51	69	55	68	70	0	82	63	0	28	2	500,000$
13	Zac Jones				X	100.00	65	59	77	65	67	71	68	69	50	65	50	68	55	61	63	0	78	62	0	25	2	500,000$
14	Matthew Kessel				X	100.00	65	59	82	60	74	62	58	63	50	54	51	66	55	63	65	0	76	60	0	25	2	500,000$
15	John Klingberg				X	100.00	50	62	65	57	66	54	55	53	50	50	50	51	56	76	74	0	48	54	0	33	1	500,000$
Scratches
1	Ondrej Palat		X			S1	75	55	91	69	69	74	88	69	50	64	70	63	51	77	74	0	74	65	0	34	2	500,000$
2	Nils Aman	X				100.00	63	54	93	62	64	60	54	69	53	61	50	56	50	60	62	0	22	57	0	25	1	500,000$
3	Max Jones		X			100.00	81	61	66	61	78	63	56	56	50	55	50	58	50	64	62	0	20	56	0	27	3	500,000$
4	Ville Koivunen			X		100.00	50	57	75	54	55	62	55	58	50	66	50	50	50	61	69	0	22	54	0	22	4	500,000$
5	Oliver Kapanen (R)	X				100.00	50	55	93	57	70	61	54	52	57	54	50	56	62	55	57	0	22	53	0	22	3	500,000$
6	Thomas Bordeleau	X				100.00	50	35	89	57	63	50	51	50	50	50	50	50	50	63	62	0	22	51	0	23	2	500,000$
7	Sam Poulin			X		100.00	57	58	85	50	81	50	51	52	50	50	50	50	50	58	59	0	22	51	0	24	2	500,000$
8	Artyom Levshunov (R)				X	100.00	64	60	77	64	75	57	58	65	50	63	50	59	55	51	56	0	22	58	0	20	4	500,000$
9	Ian Mitchell				X	100.00	52	56	92	55	68	51	55	57	50	50	50	61	55	63	65	0	22	55	0	26	2	500,000$

	TEAM AVERAGE					99.88	63	58	85	62	70	63	64	63	53	59	54	60	54	64	65	0	59	59

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	Jet Greaves (R)	98.00	79	65	72	70	71	65	64	70	67	76	50	60	66	0	78	67	0	24	3	500,000$
2	Akira Schmid	100.00	56	62	62	74	50	50	50	50	50	51	50	60	60	0	80	55	0	25	2	500,000$
Scratches

	TEAM AVERAGE	99.00	68	64	67	72	61	58	57	60	59	64	50	60	63	0	79	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Semenko	87	87	87	87	87	50	1	CAN	61	6	500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brandt Clarke	Roadrunners (UTA)	D	28	7	29	36	9	22	0	54	42	41	13	38	17.07%	31	667	23.84	4	7	11	21	57	0	1	1	0	50	0	0	0%	0	0	1.08	0	0	0	0	0	2	3	1
2	Cutter Gauthier	Roadrunners (UTA)	LW	28	16	15	31	5	14	0	44	56	141	37	123	11.35%	9	741	26.48	3	1	4	17	52	1	0	1	2	51	2	0	38.10%	42	0	0.84	1	1	0	0	0	4	0	1
3	Gustav Nyquist	Roadrunners (UTA)	RW	28	16	15	31	8	4	0	15	35	112	36	71	14.29%	9	507	18.12	0	6	6	15	57	0	0	0	0	0	4	2	33.33%	27	1	1.22	1	1	0	0	0	3	3	2
4	Ondrej Palat	Roadrunners (UTA)	LW	27	18	13	31	0	23	5	44	32	102	19	92	17.65%	6	509	18.88	8	3	11	24	48	0	0	0	2	40	8	2	64.00%	25	1	1.22	0	0	0	1	0	5	3	4
5	David Gustafsson	Roadrunners (UTA)	C	28	11	15	26	5	4	0	14	73	102	24	54	10.78%	4	505	18.05	0	0	0	0	3	0	0	0	0	3	0	1	58.76%	565	0	1.03	0	0	0	0	0	2	1	3
6	Tyson Jost	Roadrunners (UTA)	C	28	6	20	26	5	15	5	38	59	73	15	52	8.22%	8	540	19.31	1	9	10	13	50	0	0	0	0	33	0	0	54.00%	587	0	0.96	0	0	0	0	1	2	1	0
7	Anthony Mantha	Roadrunners (UTA)	RW	28	14	9	23	1	35	5	42	23	81	21	58	17.28%	2	615	21.99	1	3	4	7	48	0	0	0	2	28	1	1	51.56%	64	0	0.75	0	0	0	0	1	1	3	2
8	Sam Malinski	Roadrunners (UTA)	D	28	3	20	23	4	2	0	19	36	44	9	23	6.82%	45	646	23.11	2	2	4	14	44	0	0	0	2	37	1	1	0%	1	0	0.71	0	0	0	0	0	0	1	2
9	Nico Sturm	Roadrunners (UTA)	C	28	6	16	22	9	16	0	52	60	70	23	56	8.57%	8	535	19.13	0	1	1	6	54	0	0	0	1	60	2	0	62.50%	760	0	0.82	0	0	0	0	0	0	0	4
10	Philippe Myers	Roadrunners (UTA)	D	28	3	14	17	9	22	10	60	16	27	7	23	11.11%	31	522	18.64	1	3	4	15	48	0	0	0	0	44	0	0	0%	0	0	0.65	0	0	1	0	1	1	1	2
11	Zac Jones	Roadrunners (UTA)	D	28	1	12	13	-1	6	0	43	30	15	16	11	6.67%	37	541	19.34	0	1	1	2	7	0	0	0	1	20	1	0	100.00%	2	0	0.48	0	0	0	0	0	0	2	0
12	Joey Anderson	Roadrunners (UTA)	RW	28	2	6	8	5	2	0	19	18	34	11	23	5.88%	7	472	16.86	0	0	0	1	4	0	0	0	0	0	0	0	57.69%	26	0	0.34	0	0	0	0	0	0	0	0
13	Matthew Kessel	Roadrunners (UTA)	D	28	1	5	6	-5	18	0	35	13	12	9	12	8.33%	35	485	17.35	0	0	0	0	2	0	0	0	0	4	0	0	0%	0	0	0.25	0	0	0	0	0	0	0	0
14	Akil Thomas	Roadrunners (UTA)	C	28	1	4	5	0	0	0	22	28	33	9	17	3.03%	1	231	8.25	0	0	0	0	0	0	0	0	0	0	0	0	51.98%	227	0	0.43	0	0	0	0	0	0	1	0
15	Ben Chiarot	Utah Mammoth	D	5	1	2	3	-7	4	0	20	7	8	3	10	12.50%	13	117	23.56	0	2	2	3	7	0	0	0	0	8	0	1	0%	0	0	0.51	0	0	0	0	0	0	0	1
16	Nikita Chibrikov	Roadrunners (UTA)	RW	28	2	0	2	0	2	0	1	4	9	1	3	22.22%	2	225	8.04	0	0	0	0	0	0	0	0	0	0	0	0	37.50%	8	0	0.18	0	0	0	0	0	0	1	0
17	Max Jones	Roadrunners (UTA)	LW	1	0	1	1	1	0	0	4	2	1	0	2	0%	0	9	9.65	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	2.07	0	0	0	0	0	0	0	0
Team Total or Average				425	108	196	304	48	189	25	526	534	905	253	668	11.93%	248	7875	18.53	20	38	58	138	488	1	1	2	10	384	19	8	57.23%	2336	2	0.77	2	2	1	1	3	20	20	22

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Jet Greaves	Roadrunners (UTA)	28	19	7	1	0.909	2.90	1654	1	80	883	1	1	1.000	2	28	0	3	2
2	Akira Schmid	Roadrunners (UTA)	1	1	0	0	0.900	1.67	36	0	1	10	0	0	0	0	0	28	0	0
Team Total or Average			29	20	7	1	0.909	2.88	1690	1	81	893	1	1		2	28	28	3	2

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Akil Thomas	Roadrunners (UTA)	C	25	2000-01-02	CAN	Yes	195 Lbs	6 ft0	No	No	Free Agent		No	No	3	2024-09-04	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Akira Schmid	Roadrunners (UTA)	G	25	2000-05-12	CHE	No	190 Lbs	6 ft5	No	No	Trade	2024-11-08	No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Anthony Mantha	Roadrunners (UTA)	RW	31	1994-09-16	CAN	No	234 Lbs	6 ft5	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	2,000,000$	200,000$	134,444$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Artyom Levshunov	Roadrunners (UTA)	D	20	2005-10-28	BLR	Yes	208 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Brandt Clarke	Roadrunners (UTA)	D	22	2003-02-09	CAN	No	200 Lbs	6 ft2	No	No	Trade	2024-08-13	No	No	1		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cutter Gauthier	Roadrunners (UTA)	LW	21	2004-01-19	SWE	Yes	201 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
David Gustafsson	Roadrunners (UTA)	C	25	2000-04-11	SWE	No	196 Lbs	6 ft2	No	No	N/A		No	No	3	2024-08-13	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gustav Nyquist	Roadrunners (UTA)	RW	36	1989-09-01	SWE	No	180 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-08-10	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ian Mitchell	Roadrunners (UTA)	D	26	1999-01-18	CAN	No	192 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jet Greaves	Roadrunners (UTA)	G	24	2001-03-30	CAN	Yes	190 Lbs	6 ft0	No	No	N/A		No	No	3	2024-08-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joey Anderson	Roadrunners (UTA)	RW	27	1998-06-19	USA	No	207 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
John Klingberg	Roadrunners (UTA)	D	33	1992-08-14	SWE	No	185 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-11-23	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Kessel	Roadrunners (UTA)	D	25	2000-06-23	USA	No	205 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2024-08-21	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Max Jones	Roadrunners (UTA)	LW	27	1998-02-17	USA	No	216 Lbs	6 ft3	No	No	N/A		No	No	3	2024-08-20	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nico Sturm	Roadrunners (UTA)	C	30	1995-05-03	DEU	No	209 Lbs	6 ft3	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Nikita Chibrikov	Roadrunners (UTA)	RW	22	2003-02-16	RUS	Yes	170 Lbs	5 ft10	No	No	Trade	2025-06-25	No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nils Aman	Roadrunners (UTA)	C	25	2000-02-07	SWE	No	179 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oliver Kapanen	Roadrunners (UTA)	C	22	2003-07-29	SWE	Yes	194 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ondrej Palat	Roadrunners (UTA)	LW	34	1991-03-28	CZE	No	194 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2024-08-21	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Philippe Myers	Roadrunners (UTA)	D	28	1997-01-25	CAN	No	219 Lbs	6 ft5	No	No	N/A		No	No	2	2024-08-20	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Malinski	Roadrunners (UTA)	D	27	1998-07-27	USA	No	190 Lbs	5 ft11	No	No	Free Agent		No	No	3	2024-10-07	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sam Poulin	Roadrunners (UTA)	RW	24	2001-02-25	CAN	No	227 Lbs	6 ft2	No	No	N/A		No	No	2	2024-08-10	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Thomas Bordeleau	Roadrunners (UTA)	C	23	2002-01-03	USA	No	180 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tyson Jost	Roadrunners (UTA)	C	27	1998-03-14	CAN	No	187 Lbs	5 ft11	No	No	N/A		No	No	3	2024-08-20	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ville Koivunen	Roadrunners (UTA)	RW	22	2003-06-13	FIN	No	161 Lbs	5 ft11	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Zac Jones	Roadrunners (UTA)	D	25	2000-10-18	USA	No	190 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	26.00	196 Lbs	6 ft1	2.46	557,692$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cutter Gauthier	Nico Sturm	Gustav Nyquist	40	1	2	2
2		Tyson Jost	Anthony Mantha	30	1	2	2
3		David Gustafsson	Joey Anderson	20	1	2	2
4	Cutter Gauthier	Akil Thomas	Nikita Chibrikov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Brandt Clarke	40	1	2	2
2	Sam Malinski	Philippe Myers	30	1	2	2
3	Zac Jones	Matthew Kessel	20	1	2	2
4		Brandt Clarke	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cutter Gauthier	Nico Sturm	Gustav Nyquist	60	1	2	2
2		Tyson Jost	Anthony Mantha	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Brandt Clarke	60	1	2	2
2	Sam Malinski	Philippe Myers	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nico Sturm	Cutter Gauthier	60	1	2	2
2	Tyson Jost		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Brandt Clarke	60	1	2	2
2	Sam Malinski	Philippe Myers	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nico Sturm	60	1	2	2		Brandt Clarke	60	1	2	2
2	Tyson Jost	40	1	2	2	Sam Malinski	Philippe Myers	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nico Sturm	Cutter Gauthier	60	1	2	2
2	Tyson Jost		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Brandt Clarke	60	1	2	2
2	Sam Malinski	Philippe Myers	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Cutter Gauthier	Nico Sturm	Gustav Nyquist		Brandt Clarke

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Cutter Gauthier	Nico Sturm	Gustav Nyquist		Brandt Clarke

Extra Forwards
Normal	PowerPlay	Penalty Kill
Anthony Mantha, Tyson Jost, David Gustafsson	Anthony Mantha, Tyson Jost	Anthony Mantha

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Philippe Myers, Zac Jones, Matthew Kessel	Philippe Myers	Philippe Myers, Zac Jones

Penalty Shots
Gustav Nyquist, Cutter Gauthier, , Nico Sturm, Anthony Mantha

Goalie
#1 : Jet Greaves, #2 : Akira Schmid

Custom OT Lines Forwards
, , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	40	38	26	6	26	295	294	317	9	18	6	4	11	1	0	0.00%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
2	Admirals	3	3	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	5	3	2	6	1.000	13	23	36	0	0	40	38	26	6	89	295	294	317	9	98	24	18	57	7	1	14.29%	9	2	77.78%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
3	Americiens	2	1	0	0	0	1	0	0	11	6	5	1	1	0	0	0	0	0	0	7	1	6	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	11	19	30	0	0	40	38	26	6	67	295	294	317	9	79	28	52	48	8	3	37.50%	4	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
4	Barracuda	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	40	38	26	6	44	295	294	317	9	16	3	2	18	4	1	25.00%	0	0	0%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
5	Broncos	4	1	1	0	2	0	0	0	17	13	4	2	0	0	0	2	0	0	0	9	7	2	2	1	1	0	0	0	0	0	8	6	2	6	0.750	17	33	50	0	0	40	38	26	6	133	295	294	317	9	97	26	18	56	6	2	33.33%	7	1	85.71%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
6	Bruins	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	6	10	0	0	40	38	26	6	24	295	294	317	9	23	9	6	17	3	1	33.33%	3	1	66.67%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
7	Butter Knives	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	38	26	6	35	295	294	317	9	51	20	6	31	3	0	0.00%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
8	Fighting Pandas	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	6	10	1	1	40	38	26	6	54	295	294	317	9	61	14	4	44	7	2	28.57%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
9	Firebirds	3	3	0	0	0	0	0	0	18	14	4	2	2	0	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	6	5	1	6	1.000	18	33	51	0	0	40	38	26	6	149	295	294	317	9	125	31	10	75	9	3	33.33%	5	2	60.00%	1	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
10	Griffins	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	12	18	0	0	40	38	26	6	37	295	294	317	9	45	11	6	23	5	3	60.00%	3	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
11	Ice Bats	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	5	8	0	0	40	38	26	6	35	295	294	317	9	27	5	9	13	0	0	0%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
12	Nordiks	2	1	1	0	0	0	0	0	8	11	-3	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	11	-3	2	0.500	8	16	24	0	0	40	38	26	6	59	295	294	317	9	79	25	16	42	4	3	75.00%	7	3	57.14%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
13	Quacken	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	40	38	26	6	26	295	294	317	9	15	7	6	14	3	0	0.00%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
14	Tomahawks	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	40	38	26	6	18	295	294	317	9	45	17	10	20	1	0	0.00%	4	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
15	Wombats	3	0	2	0	1	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	2	0	1	0	1	0	0	0	2	3	-1	2	0.333	4	6	10	0	0	40	38	26	6	74	295	294	317	9	82	27	24	56	4	1	25.00%	11	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
16	Wranglers	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	40	38	26	6	43	295	294	317	9	33	10	6	19	3	0	0.00%	2	0	100.00%	0	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
	Total	28	15	7	0	4	1	1	0	109	82	27	13	9	2	0	2	0	0	0	57	32	25	15	6	5	0	2	1	1	0	52	50	2	41	0.732	109	199	308	1	1	40	38	26	6	913	295	294	317	9	894	263	197	544	68	20	29.41%	65	9	86.15%	1	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
	_Since Last GM Reset	28	15	7	0	4	1	1	0	109	82	27	13	9	2	0	2	0	0	0	57	32	25	15	6	5	0	2	1	1	0	52	50	2	41	0.732	109	199	308	1	1	40	38	26	6	913	295	294	317	9	894	263	197	544	68	20	29.41%	65	9	86.15%	1	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
	_Vs Conference	19	9	5	0	3	1	1	0	73	56	17	10	6	2	0	2	0	0	0	43	28	15	9	3	3	0	1	1	1	0	30	28	2	27	0.711	73	130	203	1	1	40	38	26	6	625	295	294	317	9	616	179	138	384	47	13	27.66%	43	6	86.05%	1	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192
	_Vs Division	14	7	3	0	3	0	0	0	58	45	13	7	4	1	0	2	0	0	0	31	24	7	7	3	2	0	1	0	0	0	27	21	6	20	0.714	58	107	165	0	0	40	38	26	6	482	295	294	317	9	447	119	76	267	31	10	32.26%	35	5	85.71%	1	545	962	56.65%	511	886	57.67%	281	469	59.91%	759	546	575	184	358	192

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
28	41	L1	109	199	308	913	894	263	197	544	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	15	7	4	1	1	0	109	82

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	9	2	2	0	0	0	57	32

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	6	5	2	1	1	0	52	50

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	2	2	1	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
68	20	29.41%	65	9	86.15%	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
295	294	317	9	40	38	26	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
545	962	56.65%	511	886	57.67%	281	469	59.91%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
759	546	575	184	358	192

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
2	5	Firebirds	3	Roadrunners	5	W			BoxScore
4	14	Roadrunners	0	Wombats	2	L			BoxScore
7	29	Broncos	5	Roadrunners	6	W	X		BoxScore
11	47	Butter Knives	3	Roadrunners	2	L			BoxScore
13	62	Roadrunners	6	Nordiks	4	W			BoxScore
15	69	Wombats	3	Roadrunners	2	L			BoxScore
16	76	Roadrunners	2	Broncos	3	L			BoxScore
18	89	Roadrunners	6	Firebirds	5	W			BoxScore
20	99	Roadrunners	5	Admirals	3	W			BoxScore
21	105	Fighting Pandas	0	Roadrunners	3	W			BoxScore
25	119	Roadrunners	1	Fighting Pandas	3	L			BoxScore
26	127	Admirals	2	Roadrunners	3	W			BoxScore
28	134	Roadrunners	2	Wombats	1	W	X		BoxScore
31	146	Firebirds	6	Roadrunners	7	W			BoxScore
33	157	Roadrunners	4	Barracuda	2	W			BoxScore
35	170	Admirals	3	Roadrunners	5	W			BoxScore
38	182	Roadrunners	6	Broncos	3	W			BoxScore
40	191	Aces	2	Roadrunners	4	W			BoxScore
42	199	Roadrunners	4	Americiens	5	L	X		BoxScore
44	207	Roadrunners	4	Bruins	3	W	X	X	BoxScore
46	217	Wranglers	1	Roadrunners	7	W			BoxScore
48	230	Roadrunners	1	Tomahawks	3	L			BoxScore
49	238	Broncos	2	Roadrunners	3	W	X		BoxScore
52	251	Roadrunners	3	Ice Bats	2	W	X		BoxScore
53	261	Roadrunners	6	Griffins	4	W			BoxScore
54	264	Quacken	1	Roadrunners	3	W			BoxScore
57	280	Americiens	1	Roadrunners	7	W			BoxScore
59	292	Roadrunners	2	Nordiks	7	L			BoxScore
61	305	Fighting Pandas	-	Roadrunners	-
65	321	Lynx	-	Roadrunners	-
67	330	Roadrunners	-	Nordiks	-
69	343	Butter Knives	-	Roadrunners	-
71	352	Roadrunners	-	Lions	-
73	364	Butter Knives	-	Roadrunners	-
76	379	Firebirds	-	Roadrunners	-
79	393	Roadrunners	-	Marlies	-
81	404	Roadrunners	-	Lynx	-
82	412	Fighting Pandas	-	Roadrunners	-
84	425	Roadrunners	-	Admirals	-
86	434	Broncos	-	Roadrunners	-
89	447	Canucks	-	Roadrunners	-
91	454	Roadrunners	-	Bruins	-
93	465	Roadrunners	-	Lynx	-
95	471	Roadrunners	-	Fighting Pandas	-
97	479	Roadrunners	-	Barons	-
98	485	Admirals	-	Roadrunners	-
100	500	Wombats	-	Roadrunners	-
102	513	Roadrunners	-	Wranglers	-
104	521	Americiens	-	Roadrunners	-
106	533	Roadrunners	-	Broncos	-
108	544	Roadrunners	-	Fighting Pandas	-
109	550	Wombats	-	Roadrunners	-
112	568	Lynx	-	Roadrunners	-
115	582	Firebirds	-	Roadrunners	-
119	602	Lions	-	Roadrunners	-
121	612	Roadrunners	-	Canucks	-
123	623	Tomahawks	-	Roadrunners	-
126	641	Roadrunners	-	Admirals	-
127	648	Barracuda	-	Roadrunners	-
130	658	Roadrunners	-	Marlies	-
132	669	Roadrunners	-	Butter Knives	-
133	675	Bruins	-	Roadrunners	-
135	688	Roadrunners	-	Quacken	-
137	695	Roadrunners	-	Aces	-
138	699	Ice Bats	-	Roadrunners	-
141	716	Nordiks	-	Roadrunners	-
143	728	Roadrunners	-	Butter Knives	-
145	732	Roadrunners	-	Americiens	-
146	741	Bruins	-	Roadrunners	-
149	758	Marlies	-	Roadrunners	-
152	778	Barons	-	Roadrunners	-
153	783	Roadrunners	-	Barracuda	-
155	790	Roadrunners	-	Firebirds	-
158	806	Nordiks	-	Roadrunners	-
160	815	Roadrunners	-	Wombats	-
163	828	Ice Bats	-	Roadrunners	-
164	835	Roadrunners	-	Firebirds	-
168	851	Barons	-	Roadrunners	-
169	857	Roadrunners	-	Barracuda	-
171	864	Roadrunners	-	Wombats	-
173	874	Marlies	-	Roadrunners	-
178	897	Griffins	-	Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
28	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
628,898$	1,450,000$	1,400,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,400,000$	461,960$	26	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	121	10,833$	1,310,793$

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: 28 \| W: 20 \| L: 7 \| OTL: 1 \| P: 41 GF: 109 \| GA: 82 \| PP%: 29.41% \| PK%: 86.15% GM : Greg Vandersteen \| Morale : 68 \| Team Overall : 59 Next Games #305 vs Fighting Pandas