Arizona Coyotes
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Tuscon Roadrunners 7-4-0, 14pts	5	FINAL	1	Utica Comets 15-11-0, 30pts

Team Stats
OTL1	Streak	L1
3-3-0	Home Record	7-5-0
4-1-0	Home Record	8-6-0
6-3-1	Last 10 Games	6-4-0
3.45	Goals Per Game	2.96
3.09	Goals Against Per Game	2.85
33.33%	Power Play Percentage	27.50%
68.42%	Penalty Kill Percentage	80.00%

Utica Comets
15-11-0, 30pts

FINAL

Tuscon Roadrunners
7-4-0, 14pts

Team Stats
L1	Streak	OTL1
7-5-0	Home Record	3-3-0
8-6-0	Home Record	4-1-0
6-4-0	Last 10 Games	6-3-1
2.96	Goals Per Game	3.45
2.85	Goals Against Per Game	3.09
27.50%	Power Play Percentage	33.33%
80.00%	Penalty Kill Percentage	68.42%

Team Leaders
	Goals Tyler Ennis 8	Assists Nathan Walker 8

	Points Tyler Ennis 15	Plus/Minus Madison Bowey 9

	Wins Connor Ingram 7	Save Percentage Connor Ingram 0.914

Team Stats
Goals For 38 3.45 GFG	Shots For 427 38.82 Avg	Power Play Percentage 33.3% 5 GF	Offensive Zone Start 38.8%
Goals Against 34 3.09 GAA	Shots Against 385 35.00 Avg	Penalty Kill Percentage 68.4%% 6 GA	Defensive Zone Start 34.6%

Team Info
	General Manager	VK
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	1,650
Roster Info
	Pro Team	25
	Farm Team	20
	Contract Limit	45 / 65
	Prospects	34

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	Nathan Walker	0		X			100.00	76	61	79	75	73	80	81	70	72	67	64	71	70	74	64	0	92	71	0	30	2	1,000,000$
2	Tyler Ennis	0	X	X	X		100.00	65	35	87	88	47	83	79	71	55	63	62	58	55	80	72	0	83	69	0	34	3	775,000$
3	Loui Eriksson	0		X	X		100.00	50	35	93	85	61	85	99	62	55	58	53	59	55	90	71	0	84	67	0	38	3	775,000$
4	Michael Raffl	0		X	X		100.00	78	35	89	87	66	89	92	62	55	50	58	55	55	83	73	0	87	67	0	35	3	775,000$
5	Matthew Highmore	0	X	X	X		100.00	61	43	72	72	66	71	71	68	43	66	62	64	67	60	53	0	84	65	0	28	3	775,000$
6	Cooper Marody	0	X	X	X		100.00	61	46	66	71	62	66	65	64	43	64	59	66	65	54	50	0	90	63	0	27	2	775,000$
7	Gage Quinney	0	X				100.00	58	44	69	69	62	66	66	65	43	63	61	59	65	55	50	0	86	62	0	28	2	775,000$
8	Hugh McGing (R)	0		X			100.00	54	45	62	71	55	66	65	64	43	62	58	58	64	52	50	0	82	61	0	25	1	883,750$
9	Oskar Steen	0	X				100.00	59	44	67	70	61	65	64	64	58	61	57	59	64	53	50	0	87	61	0	26	2	800,000$
10	Curtis Douglas (R)	0	X				100.00	69	70	52	57	78	63	63	62	56	56	55	56	58	51	50	0	84	59	0	24	1	775,000$
11	Josiah Slavin	0	X				100.00	58	45	70	64	64	64	63	61	41	57	55	55	60	52	50	0	79	58	0	25	1	842,500$
12	Nicolas Petan	0	X	X	X		100.00	59	35	75	73	61	65	68	48	53	51	53	47	54	60	48	0	85	56	0	29	4	1,000,000$
13	Marcus Kruger	0	X				100.00	60	35	75	74	63	70	68	50	47	49	51	47	54	60	48	0	85	56	0	34	2	775,000$
14	Joakim Nordstrom	0	X	X	X		100.00	60	35	75	70	65	65	70	52	54	48	46	51	53	60	48	0	85	56	0	32	1	775,000$
15	Sami Niku	0				X	100.00	50	35	91	82	55	67	70	76	40	65	50	79	40	63	72	0	85	71	0	27	1	1,000,000$
16	Kale Clague	0				X	100.00	61	47	69	74	78	84	72	69	40	65	61	65	68	64	54	0	82	68	0	26	2	775,000$
17	Madison Bowey	0				X	100.00	62	48	65	66	65	67	65	61	40	56	55	64	61	57	50	0	85	62	0	29	3	775,000$
18	Eric Roy	0				X	100.00	60	70	68	62	58	56	57	64	25	57	51	62	50	48	48	0	86	59	0	29	1	775,000$
19	Brett Bellemore	0				X	100.00	61	35	75	72	62	61	64	45	53	50	47	54	40	73	58	0	51	59	0	36	1	775,000$
20	Victor Berglund (R)	0				X	100.00	54	43	64	71	57	61	58	55	40	53	52	60	59	51	50	0	87	59	0	24	1	818,333$
21	William Wrenn	0				X	100.00	51	35	75	68	65	63	63	50	51	54	49	56	40	73	58	0	84	59	0	33	1	775,000$
22	Stuart Percy	0				X	100.00	61	35	75	72	57	53	62	55	50	53	51	51	40	73	58	0	87	59	0	31	1	775,000$
23	Jacob Cederholm (R)	0				X	100.00	53	35	75	68	57	56	62	53	51	52	54	56	40	73	58	0	87	59	0	26	1	775,000$
Scratches

	TEAM AVERAGE						100.00	60	43	73	72	63	68	69	60	48	57	55	59	56	63	56	0	84	62

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	Connor Ingram (R)	0	100.00	80	75	77	77	80	79	77	78	79	79	76	57	51	0	86	75	0	27	6	1,950,000$
2	Kent Simpson	0	100.00	75	75	75	78	83	71	74	72	69	69	46	73	72	0	89	74	0	32	1	775,000$
Scratches

	TEAM AVERAGE		100.00	78	75	76	78	82	75	76	75	74	74	61	65	62	0	88	75

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Tyler Ennis	Tuscon Roadrunners (ARZ)	C/LW/RW	11	8	7	15	0	5	5	10	16	72	25	46	11.11%	6	231	21.05	1	2	3	3	11	0	0	3	0	56.25%	16	26	5	0	1.30	0	1	0	2	1	1
2	Nathan Walker	Tuscon Roadrunners (ARZ)	LW	11	6	8	14	2	23	5	33	20	58	13	39	10.34%	9	245	22.30	1	2	3	4	12	0	14	0	0	54.17%	24	18	7	1	1.14	0	0	1	1	1	2
3	Loui Eriksson	Tuscon Roadrunners (ARZ)	LW/RW	11	5	5	10	2	5	5	9	11	48	16	22	10.42%	2	193	17.63	1	0	1	4	8	1	10	1	1	60.00%	10	16	7	0	1.03	0	1	0	0	0	2
4	Nicolas Petan	Tuscon Roadrunners (ARZ)	C/LW/RW	11	3	5	8	1	6	0	14	21	14	3	10	21.43%	4	222	20.23	0	0	0	0	1	0	0	0	0	46.96%	313	1	2	0	0.72	0	0	0	1	0	0
5	Matthew Highmore	Tuscon Roadrunners (ARZ)	C/LW/RW	11	3	5	8	0	2	0	19	10	29	7	27	10.34%	2	177	16.10	0	2	2	0	13	0	15	0	0	40.58%	69	10	9	0	0.90	0	0	0	1	0	0
6	Cooper Marody	Tuscon Roadrunners (ARZ)	C/LW/RW	11	3	4	7	1	17	15	19	18	26	5	13	11.54%	4	190	17.36	0	1	1	1	9	0	9	0	1	41.43%	140	7	5	0	0.73	1	0	2	0	1	0
7	Kale Clague	Tuscon Roadrunners (ARZ)	D	11	0	7	7	-7	12	10	23	19	17	9	7	0%	21	266	24.22	0	1	1	0	14	1	15	0	0	0%	0	4	9	0	0.53	0	1	1	0	0	0
8	Eric Roy	Tuscon Roadrunners (ARZ)	D	11	1	5	6	8	22	20	2	11	11	0	3	9.09%	9	201	18.31	1	0	1	1	7	0	9	0	0	0%	0	2	4	0	0.60	0	1	3	0	1	0
9	Hugh McGing	Tuscon Roadrunners (ARZ)	LW	11	2	4	6	2	7	5	25	12	20	4	18	10.00%	2	180	16.40	0	1	1	2	9	0	0	0	0	30.77%	13	3	2	0	0.67	0	1	0	0	0	0
10	Madison Bowey	Tuscon Roadrunners (ARZ)	D	11	0	5	5	9	4	0	11	11	19	8	7	0%	14	206	18.81	0	0	0	1	8	0	9	0	0	0%	0	2	5	0	0.48	0	0	0	0	0	0
11	Michael Raffl	Tuscon Roadrunners (ARZ)	LW/RW	11	2	3	5	2	5	5	16	5	19	7	19	10.53%	4	130	11.88	0	0	0	0	0	0	0	2	0	66.67%	3	8	1	0	0.77	0	0	1	0	0	0
12	Gage Quinney	Tuscon Roadrunners (ARZ)	C	11	1	3	4	2	4	0	19	10	21	7	8	4.76%	6	137	12.53	0	0	0	0	1	0	1	0	0	52.94%	51	2	3	0	0.58	0	0	0	0	0	1
13	Sami Niku	Tuscon Roadrunners (ARZ)	D	11	1	3	4	-7	2	0	12	23	26	10	12	3.85%	19	270	24.63	1	0	1	3	14	0	15	0	0	0%	0	9	17	0	0.30	0	0	0	0	1	0
14	Oskar Steen	Tuscon Roadrunners (ARZ)	C	11	2	1	3	1	0	0	8	5	21	5	8	9.52%	3	102	9.36	0	0	0	0	0	0	0	0	0	28.57%	35	7	0	0	0.58	0	0	0	0	0	1
15	Curtis Douglas	Tuscon Roadrunners (ARZ)	C	11	1	0	1	1	12	10	12	13	11	5	9	9.09%	1	100	9.13	0	0	0	0	0	0	0	1	0	0%	1	1	2	0	0.20	0	1	1	0	0	0
16	Victor Berglund	Tuscon Roadrunners (ARZ)	D	11	0	1	1	0	0	0	4	7	3	1	1	0%	7	134	12.21	0	0	0	0	0	0	0	0	0	0%	0	0	8	0	0.15	0	0	0	0	0	0
17	William Wrenn	Tuscon Roadrunners (ARZ)	D	11	0	1	1	3	5	5	0	3	2	0	2	0%	2	80	7.30	0	0	0	0	0	0	3	0	0	0%	0	0	1	0	0.25	0	1	0	0	0	0
18	Stuart Percy	Tuscon Roadrunners (ARZ)	D	11	0	1	1	4	0	0	4	2	0	0	2	0%	1	70	6.41	0	0	0	0	0	0	0	0	0	0%	0	0	2	0	0.28	0	0	0	0	0	0
19	Marcus Kruger	Tuscon Roadrunners (ARZ)	C	11	0	0	0	1	0	0	3	3	4	2	4	0%	1	103	9.36	0	0	0	0	0	0	0	0	0	50.00%	2	2	3	0	0	0	0	0	0	0	0
20	Brett Bellemore	Tuscon Roadrunners (ARZ)	D	11	0	0	0	0	2	0	6	6	6	5	0	0%	4	135	12.28	0	0	0	0	0	0	0	0	0	0%	0	0	5	0	0	0	0	0	0	0	0
21	Joakim Nordstrom	Tuscon Roadrunners (ARZ)	C/LW/RW	11	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.03	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0
22	Jacob Cederholm	Tuscon Roadrunners (ARZ)	D	11	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.04	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				242	38	68	106	25	133	85	249	226	427	132	257	8.90%	121	3383	13.98	5	9	14	19	115	2	105	7	2	45.05%	677	118	97	1	0.63	1	7	9	5	5	7

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
1	Connor Ingram	Tuscon Roadrunners (ARZ)	11	7	3	1	0.914	2.91	681	0	0	33	384	195	1	1	0	0	11	0	1	1	1
Team Total or Average			11	7	3	1	0.914	2.91	681	0	0	33	384	195	1	1		0	11	0	1	1	1

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	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
Brett Bellemore	Tuscon Roadrunners (ARZ)	D	36	1988-06-25	No	225 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Connor Ingram	Tuscon Roadrunners (ARZ)	G	27	1997-03-31	Yes	196 Lbs	6 ft2	No	No	N/A		No	No	6	2024-01-16	False	False	Pro & Farm	1,950,000$	0$	0$	No	1,950,000$	1,950,000$	1,950,000$	1,950,000$	1,950,000$	-	-	-	-	1,950,000$	1,950,000$	1,950,000$	1,950,000$	1,950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	NHL Link
Cooper Marody	Tuscon Roadrunners (ARZ)	C/LW/RW	27	1996-12-20	No	183 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	762,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Curtis Douglas	Tuscon Roadrunners (ARZ)	C	24	2000-03-06	Yes	245 Lbs	6 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Eric Roy	Tuscon Roadrunners (ARZ)	D	29	1994-10-24	No	181 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gage Quinney	Tuscon Roadrunners (ARZ)	C	28	1995-07-29	No	194 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hugh McGing	Tuscon Roadrunners (ARZ)	LW	25	1998-07-11	Yes	168 Lbs	5 ft8	No	No	N/A		No	No	1		False	False	Pro & Farm	883,750$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jacob Cederholm	Tuscon Roadrunners (ARZ)	D	26	1998-01-30	Yes	191 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joakim Nordstrom	Tuscon Roadrunners (ARZ)	C/LW/RW	32	1992-02-25	No	194 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-02-06	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Josiah Slavin	Tuscon Roadrunners (ARZ)	C	25	1998-12-31	No	190 Lbs	6 ft3	No	No	Trade	2024-05-16	No	No	1		False	False	Pro & Farm	842,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kale Clague	Tuscon Roadrunners (ARZ)	D	26	1998-06-05	No	190 Lbs	6 ft0	No	No	N/A		No	No	2	2024-01-16	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kent Simpson	Tuscon Roadrunners (ARZ)	G	32	1992-03-26	No	198 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Loui Eriksson	Tuscon Roadrunners (ARZ)	LW/RW	38	1985-07-17	No	179 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Madison Bowey	Tuscon Roadrunners (ARZ)	D	29	1995-04-22	No	203 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Marcus Kruger	Tuscon Roadrunners (ARZ)	C	34	1990-05-27	No	186 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Matthew Highmore	Tuscon Roadrunners (ARZ)	C/LW/RW	28	1996-02-27	No	187 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Michael Raffl	Tuscon Roadrunners (ARZ)	LW/RW	35	1988-12-01	No	205 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nathan Walker	Tuscon Roadrunners (ARZ)	LW	30	1994-02-07	No	187 Lbs	5 ft9	No	No	Free Agent		No	No	2	2024-02-04	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Nicolas Petan	Tuscon Roadrunners (ARZ)	C/LW/RW	29	1995-03-22	No	172 Lbs	4 ft11	No	No	Free Agent		No	No	4	2024-02-04	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Oskar Steen	Tuscon Roadrunners (ARZ)	C	26	1998-03-09	No	187 Lbs	5 ft9	No	No	Trade	2024-01-18	No	No	2		False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sami Niku	Tuscon Roadrunners (ARZ)	D	27	1996-10-10	No	176 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-01-28	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Stuart Percy	Tuscon Roadrunners (ARZ)	D	31	1993-05-18	No	187 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tyler Ennis	Tuscon Roadrunners (ARZ)	C/LW/RW	34	1989-10-06	No	160 Lbs	5 ft9	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Victor Berglund	Tuscon Roadrunners (ARZ)	D	24	1999-08-02	Yes	165 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	818,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
William Wrenn	Tuscon Roadrunners (ARZ)	D	33	1991-03-16	No	200 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	29.40	190 Lbs	6 ft0	1.96	858,783$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nathan Walker	Nicolas Petan	Tyler Ennis	40	1	2	2
2	Hugh McGing	Cooper Marody	Loui Eriksson	30	1	2	2
3	Michael Raffl	Gage Quinney	Matthew Highmore	20	1	2	2
4	Curtis Douglas	Oskar Steen	Marcus Kruger	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sami Niku	Kale Clague	40	1	2	2
2	Madison Bowey	Eric Roy	30	1	2	2
3	Brett Bellemore	Victor Berglund	20	1	2	2
4	William Wrenn	Stuart Percy	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nathan Walker	Matthew Highmore	Tyler Ennis	60	1	2	2
2	Hugh McGing	Cooper Marody	Loui Eriksson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sami Niku	Kale Clague	60	1	2	2
2	Madison Bowey	Eric Roy	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Highmore	Nathan Walker	60	1	2	2
2	Cooper Marody	Loui Eriksson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sami Niku	Kale Clague	60	1	2	2
2	Madison Bowey	Eric Roy	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Highmore	60	1	2	2	Sami Niku	Kale Clague	60	1	2	2
2	Cooper Marody	40	1	2	2	Madison Bowey	Eric Roy	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Highmore	Nathan Walker	60	1	2	2
2	Cooper Marody	Loui Eriksson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sami Niku	Kale Clague	60	1	2	2
2	Madison Bowey	Eric Roy	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nathan Walker	Matthew Highmore	Tyler Ennis	Sami Niku	Kale Clague

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nathan Walker	Matthew Highmore	Tyler Ennis	Sami Niku	Kale Clague

Extra Forwards
Normal	PowerPlay	Penalty Kill
Matthew Highmore, Cooper Marody, Gage Quinney	Matthew Highmore, Cooper Marody	Matthew Highmore

Extra Defensemen
Normal	PowerPlay	Penalty Kill
William Wrenn, Stuart Percy, Jacob Cederholm	William Wrenn	William Wrenn, Stuart Percy

Penalty Shots
Nathan Walker, Tyler Ennis, Loui Eriksson, Michael Raffl, Matthew Highmore

Goalie
#1 : Connor Ingram, #2 : Kent Simpson

Custom OT Lines Forwards
Nathan Walker, Tyler Ennis, Loui Eriksson, Michael Raffl, Matthew Highmore, Cooper Marody, Cooper Marody, Gage Quinney, Hugh McGing, Oskar Steen, Curtis Douglas

Custom OT Lines Defensemen
Sami Niku, Kale Clague, Madison Bowey, Eric Roy, Brett Bellemore

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	Hershey Bears	4	4	0	0	0	0	0	0	16	9	7	2	2	0	0	0	0	0	0	8	5	3	2	2	0	0	0	0	0	0	8	4	4	8	1.000	16	29	45	0	0	7	19	11	1	173	112	162	143	10	158	42	19	96	4	2	50.00%	7	1	85.71%	0	126	263	47.91%	97	234	41.45%	82	180	45.56%	243	143	234	100	204	101
2	Utica Comets	7	3	4	0	0	0	0	0	22	25	-3	4	1	3	0	0	0	0	0	12	17	-5	3	2	1	0	0	0	0	0	10	8	2	6	0.429	22	39	61	1	0	7	19	11	1	254	112	162	143	10	227	79	114	153	11	3	27.27%	12	5	58.33%	0	126	263	47.91%	97	234	41.45%	82	180	45.56%	243	143	234	100	204	101
	Total	11	7	4	0	0	0	0	0	38	34	4	6	3	3	0	0	0	0	0	20	22	-2	5	4	1	0	0	0	0	0	18	12	6	14	0.636	38	68	106	1	0	7	19	11	1	427	112	162	143	10	385	121	133	249	15	5	33.33%	19	6	68.42%	0	126	263	47.91%	97	234	41.45%	82	180	45.56%	243	143	234	100	204	101
	_Since Last GM Reset	11	7	4	0	0	0	0	0	38	34	4	6	3	3	0	0	0	0	0	20	22	-2	5	4	1	0	0	0	0	0	18	12	6	14	0.636	38	68	106	1	0	7	19	11	1	427	112	162	143	10	385	121	133	249	15	5	33.33%	19	6	68.42%	0	126	263	47.91%	97	234	41.45%	82	180	45.56%	243	143	234	100	204	101
	_Vs Conference	11	7	4	0	0	0	0	0	38	34	4	6	3	3	0	0	0	0	0	20	22	-2	5	4	1	0	0	0	0	0	18	12	6	14	0.636	38	68	106	1	0	7	19	11	1	427	112	162	143	10	385	121	133	249	15	5	33.33%	19	6	68.42%	0	126	263	47.91%	97	234	41.45%	82	180	45.56%	243	143	234	100	204	101

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
11	14	OTL1	38	68	106	427	385	121	133	249	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	4	0	0	0	0	38	34

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	3	0	0	0	0	20	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	18	12

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
15	5	33.33%	19	6	68.42%	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
112	162	143	10	7	19	11	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
126	263	47.91%	97	234	41.45%	82	180	45.56%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
243	143	234	100	204	101

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	Link
1	2	Hershey Bears	3	Tuscon Roadrunners	4	W		BoxScore
2	10	Hershey Bears	2	Tuscon Roadrunners	4	W		BoxScore
3	18	Tuscon Roadrunners	3	Hershey Bears	2	W	X	BoxScore
4	26	Tuscon Roadrunners	5	Hershey Bears	2	W		BoxScore
8	58	Utica Comets	4	Tuscon Roadrunners	2	L		BoxScore
9	62	Utica Comets	3	Tuscon Roadrunners	5	W		BoxScore
10	66	Tuscon Roadrunners	4	Utica Comets	2	W		BoxScore
11	70	Tuscon Roadrunners	1	Utica Comets	5	L		BoxScore
12	74	Utica Comets	6	Tuscon Roadrunners	2	L		BoxScore
13	78	Tuscon Roadrunners	5	Utica Comets	1	W		BoxScore
14	82	Utica Comets	4	Tuscon Roadrunners	3	L	X	BoxScore

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
35	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,146,958$	2,123,208$	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$	0	0$	0$

Tuscon 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

Tuscon 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

Tuscon 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

Tuscon 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

Tuscon 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

	Tuscon Roadrunners
	GP: 11 \| W: 7 \| L: 4 GF: 38 \| GA: 34 \| PP%: 33.33% \| PK%: 68.42% GM : VK \| Morale : 57 \| Team Overall : 63