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

Game Center
	Tucson Roadrunners 19-51-11, 49pts	5	FINAL	4	Abbotsford Canucks 29-41-11, 69pts

Team Stats
OTL1	Streak	L1
11-21-8	Home Record	16-15-9
8-30-3	Home Record	13-26-2
6-3-1	Last 10 Games	4-4-2
2.62	Goals Per Game	3.01
4.02	Goals Against Per Game	3.79
16.90%	Power Play Percentage	20.85%
75.36%	Penalty Kill Percentage	76.71%

Charlotte Checkers
40-29-12, 92pts

FINAL

Tucson Roadrunners
19-51-11, 49pts

Team Stats
L1	Streak	OTL1
18-17-6	Home Record	11-21-8
22-12-6	Home Record	8-30-3
3-5-2	Last 10 Games	6-3-1
3.49	Goals Per Game	2.62
3.35	Goals Against Per Game	4.02
18.01%	Power Play Percentage	16.90%
77.36%	Penalty Kill Percentage	75.36%

Lehigh Valley Phantoms
33-43-5, 71pts

2026-02-18

Tucson Roadrunners
19-51-11, 49pts

Team Stats
W1	Streak	OTL1
21-19-1	Home Record	11-21-8
12-24-4	Away Record	8-30-3
5-5-0	Last 10 Games	6-3-1
3.26	Goals Per Game	2.62
3.73	Goals Against Per Game	2.62
19.11%	Power Play Percentage	16.90%
74.79%	Penalty Kill Percentage	75.36%

Team Leaders
	Goals Jake Lucchini 27	Assists Fabian Lysell 42

	Points Fabian Lysell 64	Plus/Minus Milos Kelemen 8

	Wins Matt Villalta 13	Save Percentage Oscar Dansk 0.893

Team Stats
Goals For 212 2.62 GFG	Shots For 2182 26.94 Avg	Power Play Percentage 16.9% 48 GF	Offensive Zone Start 37.2%
Goals Against 326 4.02 GAA	Shots Against 2968 36.64 Avg	Penalty Kill Percentage 75.4%% 85 GA	Defensive Zone Start 43.1%

Team Info
	General Manager	Devon
	Division	Division 1
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,788
	Season Tickets	0
Roster Info
	Pro Team	27
	Farm Team	22
	Contract Limit	49 / 55
	Prospects	14

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	Cole Beaudoin (R)	0	X				100.00	55	52	87	70	75	79	95	68	70	59	65	54	68	46	46	95	50	61	0	19	3	925,000$
2	Jake Lucchini	0	X	X	X		100.00	64	54	86	68	66	60	84	61	49	58	57	72	25	54	54	50	50	60	0	30	1	700,000$
3	Oskar Steen	0	X		X		100.00	83	45	96	68	65	53	77	64	25	50	55	69	25	56	56	59	50	59	0	27	1	700,000$
4	Milos Kelemen	0	X		X		100.00	66	64	66	63	62	79	82	63	50	56	65	60	60	51	51	70	50	59	0	26	1	700,000$
5	Fabian Lysell (R)	0		X	X		100.00	70	64	79	64	62	78	69	64	50	64	61	60	59	47	47	87	50	59	0	22	5	2,999,999$
6	Henrik Borgstrom	13	X	X	X		100.00	75	70	94	75	74	64	69	56	70	52	54	66	51	55	55	59	50	59	0	28	1	700,000$
7	Alan Quine	26	X	X			100.00	76	71	90	75	73	56	56	57	72	56	51	67	48	60	61	35	50	59	0	32	1	700,000$
8	Nikita Grebenkin (R)	0		X	X		100.00	54	51	91	68	75	75	95	60	64	53	56	51	59	58	58	80	50	59	0	22	3	925,000$
9	Jonah Gadjovich	0			X		100.00	88	99	35	74	78	48	58	62	25	54	56	63	25	64	64	59	50	58	0	26	2	750,000$
10	Gabriel Dumont	0	X		X		100.00	68	68	71	65	69	64	66	60	76	56	60	61	58	52	53	17	50	58	0	34	1	750,000$
11	Rasmus Kupari	0	X	X	X		100.00	74	66	84	79	70	62	68	45	63	55	52	59	42	63	64	72	50	57	0	25	1	700,000$
12	Michal Teply (R)	92		X			100.00	78	71	94	62	71	73	76	54	50	53	51	64	48	47	47	77	50	57	0	24	1	700,000$
13	Taylor Fedun	0				X	100.00	73	73	74	65	74	64	71	52	25	45	40	65	37	65	66	4	50	60	0	37	1	700,000$
14	Ilya Solovyov	0				X	100.00	80	79	78	68	77	73	78	48	25	38	42	63	40	48	48	71	50	59	0	25	1	700,000$
15	Drew Helleson (R)	0				X	100.00	70	70	85	67	77	70	77	51	25	42	44	64	39	48	48	76	50	59	0	24	5	775,000$
16	Adam Wilsby	0				X	100.00	75	69	87	67	67	76	79	50	25	39	46	63	44	49	49	70	50	59	0	25	1	700,000$
17	Colton White	0				X	100.00	72	68	87	65	71	63	67	47	25	37	39	64	37	67	67	58	50	58	0	28	1	700,000$
18	Gavin Bayreuther	0				X	100.00	68	69	72	65	72	54	56	57	25	56	43	64	37	66	66	32	50	58	0	31	1	700,000$
Scratches
1	Martin Chromiak (R)	0			X		100.00	66	63	89	62	68	68	76	57	50	53	57	63	55	47	47	77	50	57	0	23	5	875,000$
2	John Quenneville	0	X		X		100.00	69	68	82	64	71	55	56	58	78	56	56	63	54	53	54	49	50	57	0	29	1	701,254$
3	Patrick Khodorenko	0	X				100.00	75	73	81	59	74	66	67	55	69	56	48	63	46	46	46	63	50	56	0	26	2	850,000$
4	Jiri Felcman (R)	0	X				100.00	55	51	86	67	74	58	66	54	66	52	46	50	48	50	50	90	50	53	0	20	3	925,000$
5	Zach Nehring (R)	0			X		100.00	53	47	77	65	67	61	84	41	49	30	44	45	46	50	50	90	50	48	0	20	3	925,000$
6	Dylan MacKinnon (R)	0				X	100.00	56	51	79	63	72	66	95	40	25	37	36	64	38	50	50	90	50	56	0	20	3	925,000$

	TEAM AVERAGE						100.00	69	65	81	67	71	65	74	55	48	50	51	62	45	54	54	64	50	58

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	Matt Villalta	0	100.00	56	46	58	65	60	59	56	62	60	59	30	50	50	69	50	57	0	26	2	750,000$
2	Oscar Dansk	0	100.00	48	44	55	81	57	48	50	54	49	49	30	50	50	34	50	53	0	31	1	700,000$
Scratches
1	Jakub Skarek	0	100.00	48	51	64	78	55	48	50	54	48	48	30	49	49	70	50	53	0	25	2	750,000$

	TEAM AVERAGE		100.00	51	47	59	75	57	52	52	57	52	52	30	50	50	58	50	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Fabian Lysell	Tucson Roadrunners (UTA)	LW/RW	81	22	42	64	0	44	0	108	134	225	70	164	9.78%	21	1532	18.92	5	9	14	46	228	0	0	0	0	31	3	2	35.35%	99	0	0	0.84	0	0	1	5	3
2	Jake Lucchini	Tucson Roadrunners (UTA)	C/LW/RW	81	27	31	58	-16	20	0	61	119	194	48	161	13.92%	20	1521	18.78	9	8	17	51	214	0	1	1	3	158	4	2	41.54%	609	0	0	0.76	0	3	2	2	5
3	Milos Kelemen	Tucson Roadrunners (UTA)	C/RW	81	26	30	56	8	38	0	149	167	204	81	149	12.75%	15	1612	19.91	4	5	9	36	165	1	0	1	7	143	0	2	37.80%	1389	0	0	0.69	2	3	4	1	5
4	Nils Aman	Utah Mammoth	C	79	20	33	53	-31	14	0	44	219	210	75	171	9.52%	26	1529	19.36	7	12	19	46	231	0	0	0	2	159	0	1	41.26%	1510	0	0	0.69	2	2	3	2	0
5	Brett Leason	Utah Mammoth	LW/RW	58	21	29	50	15	18	0	96	149	202	49	134	10.40%	22	1210	20.86	5	3	8	35	96	0	0	0	8	203	7	2	37.15%	1109	0	0	0.83	3	7	4	5	4
6	Henrik Borgstrom	Tucson Roadrunners (UTA)	C/LW/RW	81	11	25	36	-20	20	0	83	118	150	41	146	7.33%	26	1281	15.83	1	7	8	21	131	0	0	0	0	40	0	1	51.80%	471	0	0	0.56	0	0	1	1	1
7	Radim Simek	Utah Mammoth	D	75	15	18	33	-34	74	0	193	55	89	25	40	16.85%	98	1484	19.79	6	4	10	35	198	0	0	0	1	40	0	0	0%	0	1	0	0.44	0	0	0	0	3
8	Alan Quine	Tucson Roadrunners (UTA)	C/LW	81	5	28	33	-40	6	0	17	214	174	45	119	2.87%	19	1306	16.13	2	8	10	44	188	0	0	0	1	68	0	1	50.65%	1305	0	0	0.51	0	0	0	0	2
9	Taylor Fedun	Tucson Roadrunners (UTA)	D	81	5	25	30	-29	66	0	202	61	69	27	47	7.25%	134	1811	22.37	3	4	7	32	232	0	2	2	0	247	1	1	0%	0	0	0	0.33	0	0	2	0	0
10	Oskar Steen	Tucson Roadrunners (UTA)	C/RW	75	10	19	29	-32	40	0	145	104	164	42	125	6.10%	23	1093	14.58	1	5	6	10	42	1	0	1	2	32	1	0	30.84%	107	0	0	0.53	0	0	2	3	0
11	Jonah Gadjovich	Tucson Roadrunners (UTA)	RW	81	17	11	28	-39	88	0	225	133	164	48	117	10.37%	20	1178	14.54	2	1	3	3	17	0	1	1	3	72	2	0	33.73%	83	0	0	0.48	0	0	1	1	1
12	Cole Beaudoin	Tucson Roadrunners (UTA)	C	81	12	15	27	-27	8	0	20	78	122	43	104	9.84%	5	1491	18.42	1	4	5	11	39	0	0	0	1	35	3	1	48.58%	634	0	1	0.36	0	2	1	0	0
13	Ilya Solovyov	Tucson Roadrunners (UTA)	D	81	7	19	26	-11	123	5	219	46	63	22	41	11.11%	122	1723	21.28	3	4	7	22	239	0	0	0	1	222	1	0	0%	0	0	0	0.30	0	0	2	0	0
14	Gavin Bayreuther	Tucson Roadrunners (UTA)	D	81	4	22	26	-16	46	0	101	52	33	14	23	12.12%	107	1390	17.17	0	0	0	0	8	0	1	1	2	197	1	0	0%	0	0	0	0.37	0	0	0	2	1
15	Nikita Grebenkin	Tucson Roadrunners (UTA)	LW/RW	81	11	15	26	-48	0	0	6	124	125	37	88	8.80%	11	1575	19.45	1	2	3	12	103	1	0	1	6	282	1	1	52.36%	825	1	0	0.33	1	3	0	2	0
16	Colton White	Tucson Roadrunners (UTA)	D	81	3	12	15	-38	32	0	90	45	76	19	28	3.95%	102	1530	18.90	1	5	6	30	207	0	0	0	1	225	0	0	0%	0	0	0	0.20	0	0	0	0	0
17	Adam Wilsby	Tucson Roadrunners (UTA)	D	75	4	10	14	-13	54	0	122	37	36	12	26	11.11%	78	1195	15.93	0	2	2	5	35	1	0	1	1	101	0	1	0%	0	0	0	0.23	0	0	0	0	1
18	Drew Helleson	Tucson Roadrunners (UTA)	D	28	2	5	7	4	4	0	14	7	15	7	9	13.33%	27	223	7.97	0	2	2	6	30	0	0	0	0	53	0	0	0%	0	0	0	0.63	0	0	0	1	1
19	Gabriel Dumont	Tucson Roadrunners (UTA)	C/RW	75	2	4	6	-6	6	0	11	20	35	4	16	5.71%	2	152	2.03	0	0	0	1	4	0	0	0	0	2	0	0	57.14%	21	0	0	0.79	0	0	0	0	0
20	Caden Price	Utah Mammoth	D	10	0	6	6	-6	0	0	5	17	15	4	10	0%	14	247	24.71	0	2	2	7	26	0	0	0	1	40	0	0	0%	0	0	0	0.49	0	0	0	0	0
21	Rasmus Kupari	Tucson Roadrunners (UTA)	C/LW/RW	7	1	1	2	0	2	0	4	5	2	1	2	50.00%	1	55	7.87	0	0	0	1	3	0	0	0	0	4	0	0	46.15%	13	0	0	0.73	0	0	0	0	0
22	Martin Chromiak	Tucson Roadrunners (UTA)	RW	7	2	0	2	-1	0	0	1	7	7	1	3	28.57%	1	55	7.91	2	0	2	5	15	0	0	0	0	0	0	0	40.00%	55	0	0	0.72	0	0	0	0	0
23	Michal Teply	Tucson Roadrunners (UTA)	LW	13	0	1	1	0	0	0	1	0	1	0	0	0%	0	10	0.83	0	1	1	0	3	0	0	0	0	1	0	0	100.00%	1	0	0	1.86	0	0	0	0	0
24	Dylan MacKinnon	Tucson Roadrunners (UTA)	D	6	1	0	1	-4	0	0	9	2	2	0	0	50.00%	4	82	13.76	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0.24	0	0	0	0	0
25	Patrick Khodorenko	Tucson Roadrunners (UTA)	C	1	0	0	0	0	0	0	1	2	0	0	0	0%	1	22	22.60	0	0	0	0	2	0	0	0	0	5	0	0	69.23%	26	0	0	0	0	0	0	0	0
26	John Quenneville	Tucson Roadrunners (UTA)	C/RW	11	0	0	0	0	0	0	0	0	1	0	0	0%	0	4	0.45	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
Team Total or Average				1492	228	401	629	-384	703	5	1927	1915	2378	715	1723	9.59%	899	25322	16.97	53	88	141	459	2466	4	5	9	40	2372	24	15	43.76%	8257	2	1	0.50	8	20	23	25	27

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	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Matt Villalta	Tucson Roadrunners (UTA)	52	13	32	7	0.891	3.88	3139	4	203	1857	2	3	0.556	9	52	23	3	1	1
2	Oscar Dansk	Tucson Roadrunners (UTA)	28	6	18	4	0.893	4.01	1693	2	113	1060	1	1	0.667	3	28	35	2	0	1
3	Jake Allen	Utah Mammoth	1	0	1	0	0.915	4.00	60	0	4	47	0	0	0	0	1	0	0	0	0
Team Total or Average			81	19	51	11	0.892	3.92	4893	6	320	2964	3	4		12	81	58	5	1	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
Adam Wilsby	Tucson Roadrunners (UTA)	D	25	2000-07-08	SWE	No	189 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alan Quine	Tucson Roadrunners (UTA)	C/LW	32	1993-02-25	ONT	No	205 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cole Beaudoin	Tucson Roadrunners (UTA)	C	19	2006-04-24	CAN	Yes	209 Lbs	6 ft2	No	No	Trade	2026-01-02	No	No	3	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Colton White	Tucson Roadrunners (UTA)	D	28	1997-05-03	ONT	No	194 Lbs	6 ft1	No	No	Assign Manually	2025-06-10	No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Drew Helleson	Tucson Roadrunners (UTA)	D	24	2001-03-26	USA	Yes	211 Lbs	6 ft3	No	No	Trade	2026-01-02	No	No	5	2025-01-15	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	-	-	-	-	-	775,000$	775,000$	775,000$	775,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Dylan MacKinnon	Tucson Roadrunners (UTA)	D	20	2005-01-12	CAN	Yes	196 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Fabian Lysell	Tucson Roadrunners (UTA)	LW/RW	22	2003-01-19	SWE	Yes	177 Lbs	5 ft10	No	No	Trade	2025-08-21	No	No	5	2025-01-10	False	False	Pro & Farm	2,999,999$	0$	0$	No	2,999,999$	2,999,999$	2,999,999$	2,999,999$	-	-	-	-	-	2,999,999$	2,999,999$	2,999,999$	2,999,999$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Gabriel Dumont	Tucson Roadrunners (UTA)	C/RW	34	1990-10-06	QUE	No	197 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Gavin Bayreuther	Tucson Roadrunners (UTA)	D	31	1994-05-12	USA	No	196 Lbs	6 ft1	No	No	Assign Manually	2024-09-11	No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Henrik Borgstrom	Tucson Roadrunners (UTA)	C/LW/RW	28	1997-08-06	FIN	No	201 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ilya Solovyov	Tucson Roadrunners (UTA)	D	25	2000-07-20	BEL	No	213 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jake Lucchini	Tucson Roadrunners (UTA)	C/LW/RW	30	1995-09-05	BC	No	184 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jakub Skarek	Tucson Roadrunners (UTA)	G	25	1999-11-10	CZE	No	196 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jiri Felcman	Tucson Roadrunners (UTA)	C	20	2005-04-17	CZE	Yes	198 Lbs	6 ft4	No	No	Assign Manually		No	No	3	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
John Quenneville	Tucson Roadrunners (UTA)	C/RW	29	1996-04-16	AB	No	197 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	701,254$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonah Gadjovich	Tucson Roadrunners (UTA)	RW	26	1998-10-12	ONT	No	204 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Martin Chromiak	Tucson Roadrunners (UTA)	RW	23	2002-08-20	SVK	Yes	193 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2024-12-29	False	False	Pro & Farm	875,000$	0$	0$	No	875,000$	875,000$	875,000$	875,000$	-	-	-	-	-	875,000$	875,000$	875,000$	875,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Matt Villalta	Tucson Roadrunners (UTA)	G	26	1999-03-06	ONT	No	174 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michal Teply	Tucson Roadrunners (UTA)	LW	24	2001-05-27	CZE	Yes	192 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Milos Kelemen	Tucson Roadrunners (UTA)	C/RW	26	1999-06-07	SVK	No	167 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Grebenkin	Tucson Roadrunners (UTA)	LW/RW	22	2003-05-02	RUS	Yes	209 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Oscar Dansk	Tucson Roadrunners (UTA)	G	31	1994-02-28	SWE	No	206 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-30	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Oskar Steen	Tucson Roadrunners (UTA)	C/RW	27	1998-03-09	SWE	No	190 Lbs	5 ft9	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Patrick Khodorenko	Tucson Roadrunners (UTA)	C	26	1998-10-13	USA	No	210 Lbs	6 ft0	No	No	Trade	2026-01-19	No	No	2	2024-12-29	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Rasmus Kupari	Tucson Roadrunners (UTA)	C/LW/RW	25	2000-03-15	FIN	No	194 Lbs	6 ft2	No	No	Assign Manually	2025-01-27	No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Taylor Fedun	Tucson Roadrunners (UTA)	D	37	1988-06-04	AB	No	200 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zach Nehring	Tucson Roadrunners (UTA)	RW	20	2005-03-07	USA	Yes	179 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	26.11	196 Lbs	6 ft1	1.96	849,120$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jake Lucchini		Oskar Steen	30	1	2	2
2	Fabian Lysell	Cole Beaudoin	Milos Kelemen	30	1	2	2
3	Nikita Grebenkin	Henrik Borgstrom	Gabriel Dumont	25	1	2	2
4		Alan Quine	Jonah Gadjovich	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Taylor Fedun	30	1	2	2
2	Drew Helleson	Ilya Solovyov	30	1	2	2
3	Adam Wilsby	Colton White	25	1	2	2
4	Gavin Bayreuther		15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jake Lucchini		Oskar Steen	60	1	2	2
2	Fabian Lysell	Cole Beaudoin	Milos Kelemen	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Taylor Fedun	60	1	2	2
2	Drew Helleson	Ilya Solovyov	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Cole Beaudoin	60	1	2	2
2	Jake Lucchini	Oskar Steen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Taylor Fedun	60	1	2	2
2	Drew Helleson	Ilya Solovyov	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		Taylor Fedun	60	1	2	2
2	Cole Beaudoin	40	1	2	2	Drew Helleson	Ilya Solovyov	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Cole Beaudoin	60	1	2	2
2	Jake Lucchini	Oskar Steen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Taylor Fedun	60	1	2	2
2	Drew Helleson	Ilya Solovyov	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jake Lucchini		Oskar Steen		Taylor Fedun

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jake Lucchini		Oskar Steen		Taylor Fedun

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nikita Grebenkin, Henrik Borgstrom, Alan Quine	Nikita Grebenkin, Henrik Borgstrom	Alan Quine

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Adam Wilsby, Colton White, Gavin Bayreuther	Adam Wilsby	Colton White, Gavin Bayreuther

Penalty Shots
, Cole Beaudoin, Jake Lucchini, Oskar Steen, Milos Kelemen

Goalie
#1 : Matt Villalta, #2 : Oscar Dansk

Custom OT Lines Forwards
, Cole Beaudoin, Jake Lucchini, Oskar Steen, Milos Kelemen, Fabian Lysell, Fabian Lysell, Nikita Grebenkin, Henrik Borgstrom, Alan Quine, Gabriel Dumont

Custom OT Lines Defensemen
, Taylor Fedun, Drew Helleson, Ilya Solovyov, Adam Wilsby

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	Abbotsford Canucks	3	0	1	0	0	1	1	0	13	15	-2	1	0	0	0	0	1	0	0	5	6	-1	2	0	1	0	0	0	1	0	8	9	-1	3	0.500	13	23	36	1	0	69	75	61	10	76	724	718	708	44	100	33	16	67	14	4	28.57%	8	2	75.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
2	Bakersfield Condors	3	0	3	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	1	4	-3	2	0	2	0	0	0	0	0	5	11	-6	0	0.000	6	11	17	0	0	69	75	61	10	79	724	718	708	44	123	24	16	77	14	1	7.14%	8	3	62.50%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
3	Belleville Senators	2	1	0	0	1	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	17	26	0	0	69	75	61	10	68	724	718	708	44	68	22	22	52	9	1	11.11%	11	2	81.82%	1	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
4	Bridgeport Islanders	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	5	9	14	0	0	69	75	61	10	53	724	718	708	44	66	19	18	33	7	1	14.29%	9	1	88.89%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
5	Calgary Wranglers	3	0	3	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	6	10	16	0	0	69	75	61	10	79	724	718	708	44	128	32	18	64	14	1	7.14%	9	1	88.89%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
6	Charlotte Checkers	2	0	1	0	0	1	0	0	5	9	-4	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	5	8	13	0	0	69	75	61	10	71	724	718	708	44	79	28	18	52	5	1	20.00%	9	1	88.89%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
7	Chicago Wolves	6	1	3	0	0	2	0	0	9	20	-11	5	1	2	0	0	2	0	0	8	14	-6	1	0	1	0	0	0	0	0	1	6	-5	4	0.333	9	15	24	0	0	69	75	61	10	162	724	718	708	44	225	50	34	140	18	2	11.11%	17	3	82.35%	1	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
8	Cleveland Monsters	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	15	24	0	0	69	75	61	10	62	724	718	708	44	53	21	14	43	9	3	33.33%	7	1	85.71%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
9	Coachella Valley Firebirds	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	5	8	0	0	69	75	61	10	44	724	718	708	44	89	24	20	48	6	2	33.33%	10	3	70.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
10	Colorado Eagles	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	5	8	0	0	69	75	61	10	36	724	718	708	44	68	23	22	46	0	0	0%	11	3	72.73%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
11	Grand Rapids Griffins	3	0	1	0	1	1	0	0	7	9	-2	1	0	0	0	1	0	0	0	2	1	1	2	0	1	0	0	1	0	0	5	8	-3	3	0.500	7	12	19	0	0	69	75	61	10	86	724	718	708	44	131	41	34	73	13	1	7.69%	17	3	82.35%	1	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
12	Hartford Wolf Pack	3	0	2	0	0	1	0	0	8	11	-3	2	0	2	0	0	0	0	0	4	6	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.167	8	14	22	0	0	69	75	61	10	83	724	718	708	44	75	24	28	63	15	2	13.33%	14	0	100.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
13	Henderson Silver Knights	2	0	1	0	0	1	0	0	6	8	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	6	11	17	0	0	69	75	61	10	51	724	718	708	44	70	26	10	42	6	1	16.67%	5	0	100.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
14	Hershey Bears	2	0	1	0	1	0	0	0	8	10	-2	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	15	23	0	0	69	75	61	10	57	724	718	708	44	88	22	24	36	4	2	50.00%	12	3	75.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
15	Iowa Wild	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	0	0	69	75	61	10	64	724	718	708	44	82	12	16	50	5	0	0.00%	8	1	87.50%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
16	Laval Rocket	2	0	1	0	0	0	0	1	4	10	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	0	0	0	0	0	1	4	5	-1	1	0.250	4	7	11	0	0	69	75	61	10	68	724	718	708	44	107	34	22	62	8	2	25.00%	11	3	72.73%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
17	Lehigh Valley Phantoms	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	69	75	61	10	36	724	718	708	44	34	15	10	36	3	1	33.33%	5	3	40.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
18	Manitoba Moose	4	2	2	0	0	0	0	0	13	13	0	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	7	7	0	4	0.500	13	26	39	0	0	69	75	61	10	121	724	718	708	44	151	40	40	103	14	4	28.57%	20	2	90.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
19	Milwaukee Admirals	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	9	14	0	0	69	75	61	10	43	724	718	708	44	85	18	16	60	4	1	25.00%	8	2	75.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
20	Ontario Reign	4	0	4	0	0	0	0	0	6	16	-10	2	0	2	0	0	0	0	0	3	9	-6	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	6	10	16	2	0	69	75	61	10	92	724	718	708	44	110	34	28	87	11	1	9.09%	14	4	71.43%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
21	Providence Bruins	4	0	3	0	0	1	0	0	5	14	-9	2	0	1	0	0	1	0	0	4	9	-5	2	0	2	0	0	0	0	0	1	5	-4	1	0.125	5	10	15	0	0	69	75	61	10	95	724	718	708	44	117	35	32	88	11	0	0.00%	16	7	56.25%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
22	Rochester Americans	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	4	3	1	4	1.000	8	12	20	0	0	69	75	61	10	65	724	718	708	44	79	19	16	48	9	2	22.22%	8	2	75.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
23	Rockford IceHogs	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	6	10	0	0	69	75	61	10	36	724	718	708	44	82	33	35	32	4	1	25.00%	11	4	63.64%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
24	San Diego Gulls	3	0	3	0	0	0	0	0	6	16	-10	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	6	12	18	0	0	69	75	61	10	58	724	718	708	44	112	46	26	62	10	0	0.00%	13	5	61.54%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
25	San Jose Barracuda	4	0	4	0	0	0	0	0	10	19	-9	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	6	13	-7	0	0.000	10	19	29	1	0	69	75	61	10	99	724	718	708	44	138	47	34	105	13	3	23.08%	17	6	64.71%	1	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
26	Springfield Thunderbirds	2	0	1	0	1	0	0	0	8	10	-2	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	16	24	0	0	69	75	61	10	73	724	718	708	44	76	20	20	42	12	3	25.00%	10	5	50.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
27	Syracuse Crunch	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	15	24	0	0	69	75	61	10	58	724	718	708	44	71	27	14	42	9	4	44.44%	7	1	85.71%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
28	Texas Stars	2	0	1	0	0	0	0	1	7	10	-3	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	7	13	20	0	0	69	75	61	10	62	724	718	708	44	74	26	16	36	9	1	11.11%	8	2	75.00%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
29	Toronto Marlies	2	1	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	5	9	14	0	0	69	75	61	10	39	724	718	708	44	76	20	18	49	7	1	14.29%	9	1	88.89%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
30	Utica Comets	3	0	3	0	0	0	0	0	5	14	-9	1	0	1	0	0	0	0	0	1	6	-5	2	0	2	0	0	0	0	0	4	8	-4	0	0.000	5	9	14	0	0	69	75	61	10	74	724	718	708	44	118	33	36	67	10	0	0.00%	18	7	61.11%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
31	Wilkes-Barre/Scranton Penguins	3	0	2	0	0	0	1	0	10	11	-1	1	0	0	0	0	0	1	0	4	3	1	2	0	2	0	0	0	0	0	6	8	-2	2	0.333	10	18	28	0	0	69	75	61	10	92	724	718	708	44	93	36	30	68	11	2	18.18%	15	4	73.33%	0	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
	Total	81	12	51	0	5	9	2	2	212	326	-114	40	7	21	0	3	7	1	1	104	149	-45	41	5	30	0	2	2	1	1	108	177	-69	49	0.302	212	378	590	4	0	69	75	61	10	2182	724	718	708	44	2968	884	703	1873	284	48	16.90%	345	85	75.36%	4	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
	_Since Last GM Reset	81	12	51	0	5	9	2	2	212	326	-114	40	7	21	0	3	7	1	1	104	149	-45	41	5	30	0	2	2	1	1	108	177	-69	49	0.302	212	378	590	4	0	69	75	61	10	2182	724	718	708	44	2968	884	703	1873	284	48	16.90%	345	85	75.36%	4	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
	_Vs Conference	41	9	25	0	2	4	1	0	114	157	-43	20	4	11	0	1	3	1	0	55	75	-20	21	5	14	0	1	1	0	0	59	82	-23	28	0.341	114	209	323	3	0	69	75	61	10	1099	724	718	708	44	1364	447	366	927	142	25	17.61%	183	46	74.86%	2	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491
	_Vs Division	22	2	13	0	0	1	0	0	59	79	-20	12	1	6	0	0	1	0	0	30	38	-8	10	1	7	0	0	0	0	0	29	41	-12	5	0.114	59	104	163	0	0	69	75	61	10	619	724	718	708	44	752	220	194	486	77	13	16.88%	97	22	77.32%	1	1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%	1703	1120	2149	645	1055	491

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
81	49	OTL1	212	378	590	2182	2968	884	703	1873	4	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
81	12	51	5	9	2	2	212	326

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	7	21	3	7	1	1	104	149

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	5	30	2	2	1	1	108	177

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
284	48	16.90%	345	85	75.36%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
724	718	708	44	69	75	61	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1173	2498	46.96%	1304	2893	45.07%	556	1325	41.96%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1703	1120	2149	645	1055	491

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 - 2025-09-12	16	Manitoba Moose	2	Tucson Roadrunners	3	W			BoxScore
4 - 2025-09-14	33	Chicago Wolves	3	Tucson Roadrunners	2	L	X		BoxScore
6 - 2025-09-16	54	Tucson Roadrunners	3	Abbotsford Canucks	5	L			BoxScore
7 - 2025-09-17	62	Tucson Roadrunners	0	Providence Bruins	2	L			BoxScore
9 - 2025-09-19	77	Tucson Roadrunners	2	San Jose Barracuda	7	L			BoxScore
10 - 2025-09-20	89	Chicago Wolves	4	Tucson Roadrunners	1	L			BoxScore
13 - 2025-09-23	108	Providence Bruins	6	Tucson Roadrunners	2	L			BoxScore
14 - 2025-09-24	117	Tucson Roadrunners	4	Manitoba Moose	2	W			BoxScore
17 - 2025-09-27	139	Tucson Roadrunners	2	Utica Comets	3	L			BoxScore
19 - 2025-09-29	150	Chicago Wolves	2	Tucson Roadrunners	4	W			BoxScore
22 - 2025-10-02	167	Ontario Reign	5	Tucson Roadrunners	1	L			BoxScore
24 - 2025-10-04	186	Tucson Roadrunners	2	Wilkes-Barre/Scranton Penguins	3	L			BoxScore
25 - 2025-10-05	203	Tucson Roadrunners	1	Ontario Reign	3	L			BoxScore
27 - 2025-10-07	217	San Jose Barracuda	4	Tucson Roadrunners	3	L			BoxScore
29 - 2025-10-09	232	Tucson Roadrunners	3	Bakersfield Condors	4	L			BoxScore
31 - 2025-10-11	248	Tucson Roadrunners	3	Calgary Wranglers	6	L			BoxScore
32 - 2025-10-12	254	Chicago Wolves	3	Tucson Roadrunners	0	L			BoxScore
35 - 2025-10-15	276	San Diego Gulls	8	Tucson Roadrunners	2	L			BoxScore
38 - 2025-10-18	296	Tucson Roadrunners	4	Hartford Wolf Pack	5	L	X		BoxScore
39 - 2025-10-19	308	Rockford IceHogs	6	Tucson Roadrunners	2	L			BoxScore
42 - 2025-10-22	330	Calgary Wranglers	3	Tucson Roadrunners	2	L			BoxScore
44 - 2025-10-24	346	Tucson Roadrunners	4	Rochester Americans	3	W	X		BoxScore
45 - 2025-10-25	359	Tucson Roadrunners	3	Cleveland Monsters	2	W			BoxScore
48 - 2025-10-28	376	Laval Rocket	5	Tucson Roadrunners	0	L			BoxScore
49 - 2025-10-29	391	Tucson Roadrunners	2	Utica Comets	5	L			BoxScore
50 - 2025-10-30	405	Hartford Wolf Pack	3	Tucson Roadrunners	2	L			BoxScore
52 - 2025-11-01	425	Tucson Roadrunners	2	Iowa Wild	4	L			BoxScore
54 - 2025-11-03	439	Abbotsford Canucks	6	Tucson Roadrunners	5	L	X		BoxScore
56 - 2025-11-05	457	Utica Comets	6	Tucson Roadrunners	1	L			BoxScore
58 - 2025-11-07	469	Tucson Roadrunners	2	Coachella Valley Firebirds	6	L			BoxScore
60 - 2025-11-09	486	Tucson Roadrunners	1	Providence Bruins	3	L			BoxScore
61 - 2025-11-10	502	Tucson Roadrunners	2	Bakersfield Condors	7	L			BoxScore
62 - 2025-11-11	512	San Jose Barracuda	2	Tucson Roadrunners	1	L			BoxScore
64 - 2025-11-13	533	Tucson Roadrunners	2	Charlotte Checkers	5	L			BoxScore
66 - 2025-11-15	542	Manitoba Moose	4	Tucson Roadrunners	3	L			BoxScore
69 - 2025-11-18	564	Texas Stars	5	Tucson Roadrunners	4	L	X	X	BoxScore
70 - 2025-11-19	581	Tucson Roadrunners	1	Chicago Wolves	6	L			BoxScore
72 - 2025-11-21	597	Iowa Wild	4	Tucson Roadrunners	3	L			BoxScore
74 - 2025-11-23	612	Tucson Roadrunners	4	Laval Rocket	5	L	X	X	BoxScore
76 - 2025-11-25	626	Colorado Eagles	2	Tucson Roadrunners	1	L			BoxScore
79 - 2025-11-28	649	Syracuse Crunch	2	Tucson Roadrunners	4	W			BoxScore
80 - 2025-11-29	664	Tucson Roadrunners	4	San Jose Barracuda	6	L			BoxScore
82 - 2025-12-01	676	Tucson Roadrunners	3	Texas Stars	5	L			BoxScore
83 - 2025-12-02	688	Tucson Roadrunners	2	Rockford IceHogs	5	L			BoxScore
85 - 2025-12-04	701	Milwaukee Admirals	5	Tucson Roadrunners	3	L			BoxScore
87 - 2025-12-06	720	Tucson Roadrunners	3	Manitoba Moose	5	L			BoxScore
89 - 2025-12-08	733	Coachella Valley Firebirds	6	Tucson Roadrunners	1	L			BoxScore
91 - 2025-12-10	754	Grand Rapids Griffins	1	Tucson Roadrunners	2	W	X		BoxScore
93 - 2025-12-12	768	Tucson Roadrunners	3	Henderson Silver Knights	4	L			BoxScore
95 - 2025-12-14	780	Tucson Roadrunners	5	Lehigh Valley Phantoms	4	W			BoxScore
97 - 2025-12-16	793	Bridgeport Islanders	3	Tucson Roadrunners	2	L	X		BoxScore
99 - 2025-12-18	808	Tucson Roadrunners	2	Milwaukee Admirals	5	L			BoxScore
100 - 2025-12-19	823	San Diego Gulls	5	Tucson Roadrunners	3	L			BoxScore
103 - 2025-12-22	843	Tucson Roadrunners	1	San Diego Gulls	3	L			BoxScore
104 - 2025-12-23	856	Wilkes-Barre/Scranton Penguins	3	Tucson Roadrunners	4	W	X	X	BoxScore
107 - 2025-12-26	881	Tucson Roadrunners	2	Colorado Eagles	4	L			BoxScore
108 - 2025-12-27	889	Toronto Marlies	3	Tucson Roadrunners	5	W			BoxScore
110 - 2025-12-29	912	Tucson Roadrunners	4	Wilkes-Barre/Scranton Penguins	5	L			BoxScore
112 - 2025-12-31	923	Belleville Senators	2	Tucson Roadrunners	4	W			BoxScore
114 - 2026-01-02	944	Tucson Roadrunners	3	Hershey Bears	6	L			BoxScore
115 - 2026-01-03	952	Henderson Silver Knights	4	Tucson Roadrunners	3	L	X		BoxScore
118 - 2026-01-06	972	Tucson Roadrunners	1	Calgary Wranglers	3	L			BoxScore
120 - 2026-01-08	985	Rochester Americans	2	Tucson Roadrunners	4	W			BoxScore
122 - 2026-01-10	1008	Bakersfield Condors	4	Tucson Roadrunners	1	L			BoxScore
124 - 2026-01-12	1015	Tucson Roadrunners	0	Toronto Marlies	4	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
126 - 2026-01-14	1037	Tucson Roadrunners	3	Springfield Thunderbirds	6	L			BoxScore
128 - 2026-01-16	1049	Providence Bruins	3	Tucson Roadrunners	2	L	X		BoxScore
129 - 2026-01-17	1055	Tucson Roadrunners	3	Grand Rapids Griffins	4	L	X		BoxScore
131 - 2026-01-19	1075	Tucson Roadrunners	2	Grand Rapids Griffins	4	L			BoxScore
132 - 2026-01-20	1086	Chicago Wolves	2	Tucson Roadrunners	1	L	X		BoxScore
135 - 2026-01-23	1107	Tucson Roadrunners	3	Bridgeport Islanders	2	W			BoxScore
136 - 2026-01-24	1118	Hartford Wolf Pack	3	Tucson Roadrunners	2	L			BoxScore
137 - 2026-01-25	1131	Tucson Roadrunners	2	Ontario Reign	4	L			BoxScore
140 - 2026-01-28	1149	Ontario Reign	4	Tucson Roadrunners	2	L			BoxScore
143 - 2026-01-31	1176	Springfield Thunderbirds	4	Tucson Roadrunners	5	W	X		BoxScore
144 - 2026-02-01	1183	Tucson Roadrunners	5	Syracuse Crunch	4	W			BoxScore
145 - 2026-02-02	1198	Tucson Roadrunners	5	Belleville Senators	4	W	X		BoxScore
147 - 2026-02-04	1214	Hershey Bears	4	Tucson Roadrunners	5	W	X		BoxScore
151 - 2026-02-08	1241	Cleveland Monsters	2	Tucson Roadrunners	6	W			BoxScore
152 - 2026-02-09	1248	Tucson Roadrunners	5	Abbotsford Canucks	4	W	X	X	BoxScore
156 - 2026-02-13	1276	Charlotte Checkers	4	Tucson Roadrunners	3	L	X		BoxScore
161 - 2026-02-18	1303	Lehigh Valley Phantoms	-	Tucson Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	74,822	36,687
Attendance PCT	93.53%	91.72%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
1	2788 - 92.92%	40,406$	1,616,227$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
23,818,236$	22,926,252$	22,926,252$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	23,818,236$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
40,406$	3	141,520$	424,560$

Tucson 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

Tucson 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

Tucson 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

Tucson 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

Tucson 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

	Tucson Roadrunners
	GP: 81 \| W: 19 \| L: 51 \| OTL: 11 \| P: 49 GF: 212 \| GA: 326 \| PP%: 16.90% \| PK%: 75.36% GM : Devon \| Morale : 50 \| Team Overall : 57 Next Games #1303 vs Lehigh Valley Phantoms