Coyotes
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Roadrunners 7-72-3, 17pts	7	FINAL	3	Rampage 6-73-3, 15pts

Team Stats
L1	Streak	L4
4-36-1	Home Record	3-36-2
3-36-2	Away Record	3-37-1
3-7-0	Last 10 Games	1-9-0
2.07	Goals Per Game	2.15
7.63	Goals Against Per Game	7.48
11.18%	Power Play Percentage	9.49%
67.46%	Penalty Kill Percentage	73.57%

Roadrunners
7-72-3, 17pts

FINAL

Heat
57-18-7, 121pts

Team Stats
L1	Streak	W4
4-36-1	Home Record	31-9-1
3-36-2	Away Record	26-9-6
3-7-0	Last 10 Games	7-3-0
2.07	Goals Per Game	4.88
7.63	Goals Against Per Game	2.24
11.18%	Power Play Percentage	23.79%
67.46%	Penalty Kill Percentage	87.24%

Team Leaders

Team Stats
Goals For 170 2.07 GFG	Shots For 1866 22.76 Avg	Power Play Percentage 11.2% 19 GF	Offensive Zone Start 27.1%
Goals Against 626 7.63 GAA	Shots Against 4160 50.73 Avg	Penalty Kill Percentage 67.5%% 41 GA	Defensive Zone Start 45.6%

Team Info
	General Manager	Jimmy
	Coach	Ulf Samuelsson
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,938
	Season Tickets	0
Roster Info
	Pro Team	8
	Farm Team	22
	Contract Limit	30 / 50
	Prospects	32

Show or Hide Column

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	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	Logan Shaw	X	X		100.00	67	43	95	73	77	54	72	61	76	61	57	78	25	60	60	66	50	64	0	30	2	750,000$
2	Gabriel Dumont	X	X		100.00	68	69	64	63	69	70	72	66	80	60	66	65	63	58	59	65	50	63	0	32	1	750,000$
3	Zack MacEwen	X	X		100.00	86	99	61	70	81	54	80	59	40	58	56	68	25	59	59	62	50	62	0	26	1	750,000$
4	Cam York (R)			X	100.00	69	42	93	78	64	78	60	80	25	57	50	75	25	46	46	64	50	66	0	22	3	1,308,333$
5	Slater Koekkoek			X	100.00	76	44	76	76	72	57	52	54	25	55	47	70	25	60	62	59	50	63	0	29	1	800,000$
6	Joey Keane (R)			X	100.00	67	68	65	61	68	66	70	54	25	50	43	58	41	44	44	54	50	57	0	23	3	925,000$
Scratches

	TEAM AVERAGE				100.00	72	61	76	70	72	63	68	62	45	57	53	69	34	55	55	62	50	63

Show or Hide Column

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	Erik Kallgren (R)	100.00	59	43	43	79	65	52	83	60	65	59	75	45	45	61	50	60	0	26	3	750,000$
Scratches
1	Troy Grosenick	100.00	65	42	53	70	70	67	72	74	75	74	30	44	44	67	50	64	0	33	1	750,000$

	TEAM AVERAGE	100.00	62	43	48	75	68	60	78	67	70	67	53	45	45	64	50	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ulf Samuelsson	69	75	76	62	86	80	61	SWE	58	3	400,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

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	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Cam York	Roadrunners (ARI)	D	22	2001-01-05	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,308,333$	0$	0$	No	1,308,333$	1,308,333$	Link
Erik Kallgren	Roadrunners (ARI)	G	26	1996-10-14	Yes	194 Lbs	6 ft3	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Link
Gabriel Dumont	Roadrunners (ARI)	C/RW	32	1990-10-06	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Joey Keane	Roadrunners (ARI)	D	23	1999-07-02	Yes	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Logan Shaw	Roadrunners (ARI)	C/RW	30	1992-10-05	No	208 Lbs	6 ft3	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Link / NHL Link
Slater Koekkoek	Roadrunners (ARI)	D	29	1994-02-18	No	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Troy Grosenick	Roadrunners (ARI)	G	33	1989-08-27	No	185 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Zack MacEwen	Roadrunners (ARI)	C/RW	26	1996-07-08	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
8	27.63	193 Lbs	6 ft1	1.88	847,917$

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

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			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			60	1	2	2
2		40	1	2	2			40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

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	Americans	2	0	2	0	0	0	0	0	8	17	-9	1	0	1	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	8	16	24	0	0	66	55	47	2	69	605	616	636	11	109	31	10	38	6	2	33.33%	5	3	40.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
2	Admirals	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	8	12	0	0	66	55	47	2	85	605	616	636	11	99	27	6	42	3	0	0.00%	1	1	0.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
3	Barracudas	5	3	1	0	0	1	0	0	28	22	6	3	3	0	0	0	0	0	0	19	10	9	2	0	1	0	0	1	0	0	9	12	-3	7	0.700	28	56	84	0	0	66	55	47	2	233	605	616	636	11	209	58	4	124	1	0	0.00%	2	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
4	Bears	3	0	1	0	1	0	1	0	11	12	-1	1	0	0	0	0	0	1	0	6	5	1	2	0	1	0	1	0	0	0	5	7	-2	4	0.667	11	19	30	0	0	66	55	47	2	135	605	616	636	11	176	46	10	67	2	0	0.00%	5	1	80.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
5	Bruins	2	0	2	0	0	0	0	0	6	16	-10	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	12	18	0	0	66	55	47	2	36	605	616	636	11	71	23	11	27	4	2	50.00%	3	2	33.33%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
6	Canucks	2	0	2	0	0	0	0	0	2	18	-16	1	0	1	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	2	4	6	0	0	66	55	47	2	28	605	616	636	11	113	32	8	8	6	0	0.00%	3	1	66.67%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
7	Checkers	2	0	2	0	0	0	0	0	2	13	-11	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	66	55	47	2	34	605	616	636	11	69	19	2	23	5	1	20.00%	1	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
8	Comets	2	0	2	0	0	0	0	0	2	19	-17	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	2	4	6	0	0	66	55	47	2	23	605	616	636	11	103	26	10	13	0	0	0.00%	6	3	50.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
9	Condors	4	0	4	0	0	0	0	0	0	26	-26	2	0	2	0	0	0	0	0	0	13	-13	2	0	2	0	0	0	0	0	0	13	-13	0	0.000	0	0	0	0	0	66	55	47	2	34	605	616	636	11	195	40	8	36	9	0	0.00%	4	3	25.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
10	Crunch	2	0	2	0	0	0	0	0	1	18	-17	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	66	55	47	2	18	605	616	636	11	94	23	10	26	5	1	20.00%	4	1	75.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
11	Eagles	5	0	5	0	0	0	0	0	8	43	-35	3	0	3	0	0	0	0	0	6	22	-16	2	0	2	0	0	0	0	0	2	21	-19	0	0.000	8	16	24	0	0	66	55	47	2	118	605	616	636	11	317	66	22	80	11	1	9.09%	9	1	88.89%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
12	Firebirds	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	7	14	21	0	0	66	55	47	2	99	605	616	636	11	92	30	4	45	4	1	25.00%	2	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
13	Griffins	2	0	2	0	0	0	0	0	1	22	-21	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	1	2	3	0	0	66	55	47	2	22	605	616	636	11	109	28	10	20	8	0	0.00%	4	2	50.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
14	Gulls	5	0	4	0	0	1	0	0	14	43	-29	2	0	1	0	0	1	0	0	7	16	-9	3	0	3	0	0	0	0	0	7	27	-20	1	0.100	14	28	42	0	0	66	55	47	2	107	605	616	636	11	268	82	18	85	6	2	33.33%	7	1	85.71%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
15	Heat	4	0	4	0	0	0	0	0	3	35	-32	2	0	2	0	0	0	0	0	1	20	-19	2	0	2	0	0	0	0	0	2	15	-13	0	0.000	3	5	8	0	0	66	55	47	2	56	605	616	636	11	220	62	14	57	8	0	0.00%	7	2	71.43%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
16	IceHogs	2	0	2	0	0	0	0	0	6	16	-10	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	9	-6	0	0.000	6	12	18	0	0	66	55	47	2	34	605	616	636	11	163	34	10	33	1	0	0.00%	4	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
17	Marlies	3	0	3	0	0	0	0	0	0	24	-24	2	0	2	0	0	0	0	0	0	17	-17	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	66	55	47	2	24	605	616	636	11	138	37	21	33	10	0	0.00%	8	1	87.50%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
18	Monsters	2	0	2	0	0	0	0	0	2	16	-14	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	66	55	47	2	28	605	616	636	11	102	25	6	22	7	0	0.00%	3	2	33.33%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
19	Moose	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	3	6	9	0	0	66	55	47	2	30	605	616	636	11	94	21	4	25	4	0	0.00%	2	2	0.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
20	Penguins	3	0	3	0	0	0	0	0	4	25	-21	2	0	2	0	0	0	0	0	2	17	-15	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	4	8	12	0	0	66	55	47	2	78	605	616	636	11	140	44	14	69	6	1	16.67%	6	1	83.33%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
21	Phantoms	3	0	3	0	0	0	0	0	7	30	-23	1	0	1	0	0	0	0	0	3	10	-7	2	0	2	0	0	0	0	0	4	20	-16	0	0.000	7	13	20	0	0	66	55	47	2	30	605	616	636	11	192	60	21	32	7	1	14.29%	7	4	42.86%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
22	Rampage	2	1	1	0	0	0	0	0	11	8	3	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	7	3	4	2	0.500	11	22	33	0	0	66	55	47	2	121	605	616	636	11	73	25	6	49	5	2	40.00%	3	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
23	Reign	4	0	4	0	0	0	0	0	5	35	-30	2	0	2	0	0	0	0	0	2	14	-12	2	0	2	0	0	0	0	0	3	21	-18	0	0.000	5	9	14	0	0	66	55	47	2	69	605	616	636	11	216	60	22	75	7	2	28.57%	10	4	60.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
24	Rocket	2	0	2	0	0	0	0	0	5	23	-18	1	0	1	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	5	10	15	0	0	66	55	47	2	24	605	616	636	11	131	29	8	14	6	1	16.67%	3	2	33.33%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
25	Senators	2	0	2	0	0	0	0	0	2	14	-12	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	4	6	0	0	66	55	47	2	21	605	616	636	11	72	22	6	14	7	0	0.00%	3	1	66.67%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
26	Sound Tigers	2	0	1	0	0	1	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	7	-4	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	6	12	18	0	0	66	55	47	2	72	605	616	636	11	90	21	4	37	4	1	25.00%	2	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
27	Stars	2	1	1	0	0	0	0	0	12	10	2	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	7	4	3	2	0.500	12	23	35	0	0	66	55	47	2	96	605	616	636	11	101	21	4	44	2	0	0.00%	1	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
28	Thunderbirds	2	0	2	0	0	0	0	0	2	20	-18	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	2	11	-9	0	0.000	2	4	6	0	0	66	55	47	2	29	605	616	636	11	105	32	2	26	10	1	10.00%	1	1	0.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
29	Wild	2	0	2	0	0	0	0	0	1	16	-15	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	9	-9	0	0.000	1	2	3	0	0	66	55	47	2	14	605	616	636	11	88	28	12	8	6	0	0.00%	6	2	66.67%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
30	Wolf Pack	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	8	12	0	0	66	55	47	2	65	605	616	636	11	95	23	2	31	3	0	0.00%	0	0	0.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
31	Wolves	3	0	3	0	0	0	0	0	3	23	-20	1	0	1	0	0	0	0	0	1	5	-4	2	0	2	0	0	0	0	0	2	18	-16	0	0.000	3	6	9	0	0	66	55	47	2	34	605	616	636	11	116	32	10	34	7	0	0.00%	4	0	100.00%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
	Total	82	5	72	0	1	3	1	0	170	626	-456	41	3	36	0	0	1	1	0	81	307	-226	41	2	36	0	1	2	0	0	89	319	-230	17	0.104	170	333	503	0	0	66	55	47	2	1866	605	616	636	11	4160	1107	299	1237	170	19	11.18%	126	41	67.46%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
	_Since Last GM Reset	82	5	72	0	1	3	1	0	170	626	-456	41	3	36	0	0	1	1	0	81	307	-226	41	2	36	0	1	2	0	0	89	319	-230	17	0.104	170	333	503	0	0	66	55	47	2	1866	605	616	636	11	4160	1107	299	1237	170	19	11.18%	126	41	67.46%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308
	_Vs Conference	46	5	39	0	0	2	0	0	113	335	-222	23	3	19	0	0	1	0	0	58	153	-95	23	2	20	0	0	1	0	0	55	182	-127	12	0.130	113	223	336	0	0	66	55	47	2	1199	605	616	636	11	2360	617	154	775	80	10	12.50%	67	19	71.64%	0	486	1407	34.54%	725	2372	30.56%	417	1420	29.37%	1025	688	3064	560	841	308

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	17	L1	170	333	503	1866	4160	1107	299	1237	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	5	72	1	3	1	0	170	626

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	3	36	0	1	1	0	81	307

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	2	36	1	2	0	0	89	319

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	0	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
170	19	11.18%	126	41	67.46%	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
605	616	636	11	66	55	47	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
486	1407	34.54%	725	2372	30.56%	417	1420	29.37%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1025	688	3064	560	841	308

Last Played Games Show or Hide Column

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 - 2023-03-23	18	Barracudas	3	Roadrunners	5	BW			BoxScore
4 - 2023-03-25	35	Eagles	7	Roadrunners	0	BL			BoxScore
6 - 2023-03-27	48	Roadrunners	2	Wolves	10	AL			BoxScore
8 - 2023-03-29	65	Roadrunners	4	Bears	3	AW	X		BoxScore
10 - 2023-03-31	81	Gulls	7	Roadrunners	6	BL	X		BoxScore
12 - 2023-04-02	95	Roadrunners	0	Condors	6	AL			BoxScore
13 - 2023-04-03	108	Penguins	9	Roadrunners	1	BL			BoxScore
15 - 2023-04-05	125	Roadrunners	1	Reign	12	AL			BoxScore
16 - 2023-04-06	133	Roadrunners	1	Phantoms	11	AL			BoxScore
19 - 2023-04-09	154	Condors	6	Roadrunners	0	BL			BoxScore
20 - 2023-04-10	168	Roadrunners	3	Gulls	9	AL			BoxScore
22 - 2023-04-12	183	Eagles	5	Roadrunners	4	BL			BoxScore
24 - 2023-04-14	206	Reign	5	Roadrunners	1	BL			BoxScore
27 - 2023-04-17	228	Marlies	11	Roadrunners	0	BL			BoxScore
28 - 2023-04-18	236	Roadrunners	4	Barracudas	6	AL			BoxScore
29 - 2023-04-19	243	Roadrunners	0	Gulls	8	AL			BoxScore
32 - 2023-04-22	265	Crunch	9	Roadrunners	0	BL			BoxScore
35 - 2023-04-25	291	Roadrunners	0	Griffins	11	AL			BoxScore
36 - 2023-04-26	302	Rampage	5	Roadrunners	4	BL			BoxScore
39 - 2023-04-29	325	Condors	7	Roadrunners	0	BL			BoxScore
42 - 2023-05-02	344	Roadrunners	3	Firebirds	7	AL			BoxScore
44 - 2023-05-04	358	Thunderbirds	9	Roadrunners	0	BL			BoxScore
46 - 2023-05-06	380	Roadrunners	0	Wolves	8	AL			BoxScore
48 - 2023-05-08	390	Senators	7	Roadrunners	1	BL			BoxScore
50 - 2023-05-10	405	Roadrunners	4	Bruins	7	AL			BoxScore
52 - 2023-05-12	422	Comets	9	Roadrunners	1	BL			BoxScore
54 - 2023-05-14	443	Roadrunners	3	Sound Tigers	4	AL	X		BoxScore
56 - 2023-05-16	455	Reign	9	Roadrunners	1	BL			BoxScore
57 - 2023-05-17	468	Roadrunners	2	Penguins	8	AL			BoxScore
59 - 2023-05-19	486	Checkers	7	Roadrunners	0	BL			BoxScore
61 - 2023-05-21	503	Roadrunners	7	Stars	4	AW			BoxScore
63 - 2023-05-23	515	Penguins	8	Roadrunners	1	BL			BoxScore
66 - 2023-05-26	542	Roadrunners	2	Checkers	6	AL			BoxScore
68 - 2023-05-28	553	Stars	6	Roadrunners	5	BL			BoxScore
69 - 2023-05-29	566	Roadrunners	3	Phantoms	9	AL			BoxScore
71 - 2023-05-31	584	Firebirds	5	Roadrunners	4	BL			BoxScore
74 - 2023-06-03	600	Roadrunners	2	Reign	9	AL			BoxScore
75 - 2023-06-04	616	Moose	7	Roadrunners	1	BL			BoxScore
78 - 2023-06-07	638	Roadrunners	1	Crunch	9	AL			BoxScore
79 - 2023-06-08	648	Wolves	5	Roadrunners	1	BL			BoxScore
81 - 2023-06-10	665	Roadrunners	3	Wolf Pack	5	AL			BoxScore
83 - 2023-06-12	680	Gulls	9	Roadrunners	1	BL			BoxScore
86 - 2023-06-15	702	Roadrunners	1	Senators	7	AL			BoxScore
87 - 2023-06-16	713	Sound Tigers	7	Roadrunners	3	BL			BoxScore
89 - 2023-06-18	729	Roadrunners	4	Gulls	10	AL			BoxScore
91 - 2023-06-20	743	Barracudas	2	Roadrunners	7	BW			BoxScore
95 - 2023-06-24	769	Roadrunners	0	Marlies	7	AL			BoxScore
96 - 2023-06-25	779	Canucks	10	Roadrunners	1	BL			BoxScore
99 - 2023-06-28	802	Wolf Pack	5	Roadrunners	1	BL			BoxScore
101 - 2023-06-30	817	Roadrunners	1	Canucks	8	AL			BoxScore
104 - 2023-07-03	837	Admirals	6	Roadrunners	1	BL			BoxScore
107 - 2023-07-06	866	Monsters	10	Roadrunners	0	BL			BoxScore
110 - 2023-07-09	888	Roadrunners	2	Moose	10	AL			BoxScore
111 - 2023-07-10	897	Eagles	10	Roadrunners	2	BL			BoxScore
113 - 2023-07-12	915	Roadrunners	3	Rocket	11	AL			BoxScore
115 - 2023-07-14	929	Griffins	11	Roadrunners	1	BL			BoxScore
119 - 2023-07-18	961	Phantoms	10	Roadrunners	3	BL			BoxScore
122 - 2023-07-21	985	Roadrunners	0	Condors	7	AL			BoxScore
123 - 2023-07-22	993	Wild	7	Roadrunners	1	BL			BoxScore
126 - 2023-07-25	1013	Roadrunners	5	Barracudas	6	AL	X		BoxScore
127 - 2023-07-26	1025	Marlies	6	Roadrunners	0	BL			BoxScore
129 - 2023-07-28	1035	Roadrunners	3	Admirals	6	AL			BoxScore
131 - 2023-07-30	1057	Americans	10	Roadrunners	3	BL			BoxScore
133 - 2023-08-01	1070	Roadrunners	0	Wild	9	AL			BoxScore
135 - 2023-08-03	1084	Roadrunners	1	Eagles	12	AL			BoxScore
136 - 2023-08-04	1093	Heat	10	Roadrunners	0	BL			BoxScore
139 - 2023-08-07	1121	Rocket	12	Roadrunners	2	BL			BoxScore
141 - 2023-08-09	1135	Roadrunners	3	IceHogs	9	AL			BoxScore
142 - 2023-08-10	1151	IceHogs	7	Roadrunners	3	BL			BoxScore
144 - 2023-08-12	1162	Roadrunners	1	Bears	4	AL			BoxScore
147 - 2023-08-15	1185	Heat	10	Roadrunners	1	BL			BoxScore
149 - 2023-08-17	1200	Roadrunners	2	Thunderbirds	11	AL			BoxScore
150 - 2023-08-18	1213	Roadrunners	1	Eagles	9	AL			BoxScore
151 - 2023-08-19	1220	Bears	5	Roadrunners	6	BW	X	X	BoxScore
155 - 2023-08-23	1249	Bruins	9	Roadrunners	2	BL			BoxScore
156 - 2023-08-24	1254	Roadrunners	5	Americans	7	AL			BoxScore
159 - 2023-08-27	1273	Roadrunners	2	Heat	9	AL			BoxScore
160 - 2023-08-28	1283	Barracudas	5	Roadrunners	7	BW			BoxScore
161 - 2023-08-29	1285	Roadrunners	2	Monsters	6	AL			BoxScore
162 - 2023-08-30	1291	Roadrunners	1	Comets	10	AL			BoxScore
163 - 2023-08-31	1297	Roadrunners	7	Rampage	3	AW			BoxScore
165 - 2023-09-02	1311	Roadrunners	0	Heat	6	AL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	0
Attendance	81,596	38,862
Attendance PCT	99.51%	94.79%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2938 - 97.93%	69,655$	2,855,860$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,300,556$	678,333$	678,333$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
4,086$	900,630$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	6,496$	0$

Roadrunners Stat Leaders (Regular Season)

Show or Hide Column

#	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 Column

#	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 Column

	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 Stat Leaders (Play-Off)

Show or Hide Column

#	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 Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Roadrunners
	GP: 82 \| W: 7 \| L: 72 \| OTL: 3 \| P: 17 GF: 170 \| GA: 626 \| PP%: 11.18% \| PK%: 67.46% GM : Jimmy \| Morale : 50 \| Team Overall : 62