Hockey Club
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Roadrunners 3-14-1, 7pts	5	FINAL	7	Admirals 5-13-0, 10pts

Team Stats
OTL1	Streak	W1
3-6-0	Home Record	2-7-0
0-8-1	Away Record	3-6-0
2-7-1	Last 10 Games	2-8-0
2.67	Goals Per Game	2.72
6.67	Goals Against Per Game	5.44
7.32%	Power Play Percentage	9.09%
62.50%	Penalty Kill Percentage	74.19%

Roadrunners
3-14-1, 7pts

FINAL

Firebirds
4-14-0, 8pts

Team Stats
OTL1	Streak	OTW1
3-6-0	Home Record	3-6-0
0-8-1	Away Record	1-8-0
2-7-1	Last 10 Games	3-7-0
2.67	Goals Per Game	1.94
6.67	Goals Against Per Game	6.50
7.32%	Power Play Percentage	4.65%
62.50%	Penalty Kill Percentage	75.00%

Team Leaders

Team Stats
Goals For 48 2.67 GFG	Shots For 538 29.89 Avg	Power Play Percentage 7.3% 3 GF	Offensive Zone Start 30.4%
Goals Against 120 6.67 GAA	Shots Against 828 46.00 Avg	Penalty Kill Percentage 62.5%% 12 GA	Defensive Zone Start 42.5%

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	0
	Season Tickets	0
Roster Info
	Pro Team	11
	Farm Team	18
	Contract Limit	29 / 50
	Prospects	25
Team History
	This Season	3-14-1 (7PTS)
	History	9-63-0 (0.125%)
	Playoff Appearances	1
	Playoff Record (W-L)	0-0
	Stanley Cup	0

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	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	Cam Atkinson		X	X		100.00	65	51	88	78	60	72	72	80	41	66	71	71	25	52	52	72	50	67	0	35	2	2,000,000$
2	Elmer Soderblom (R)	X	X			100.00	94	93	95	60	93	66	68	58	73	53	58	73	55	45	45	64	50	62	0	23	2	925,000$
3	Zack Kassian			X		100.00	67	66	73	83	80	54	72	56	36	50	56	68	25	74	76	60	50	62	0	33	1	850,000$
4	Ruslan Iskhakov	X				100.00	63	53	87	64	53	81	86	63	79	61	62	58	59	44	44	64	50	61	0	24	2	925,000$
5	Lukas Rousek			X		100.00	61	40	99	70	63	57	84	61	26	61	55	61	25	45	45	61	50	59	0	25	3	830,000$
6	Filip Chytil	X	X			100.00	83	76	99	82	76	57	61	46	58	38	44	70	42	67	69	55	50	58	0	25	1	1,925,000$
7	Robert Bortuzzo				X	100.00	79	67	72	74	82	62	56	61	25	39	47	80	25	71	74	59	50	66	0	35	2	850,000$
8	Ethan Bear				X	100.00	69	42	87	81	70	65	61	64	25	50	48	69	25	66	67	60	50	65	0	27	1	775,000$
9	Taylor Fedun				X	100.00	74	74	73	65	74	65	69	51	25	44	39	65	37	59	60	53	50	60	0	36	1	850,000$
10	Peter DiLiberatore				X	100.00	65	60	78	65	60	51	52	49	25	43	40	56	38	44	44	50	50	53	0	24	3	925,000$
Scratches

	TEAM AVERAGE					100.00	72	62	85	72	71	63	68	59	41	51	52	67	36	57	58	60	50	61

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	Leevi Merilainen (R)	100.00	49	41	51	68	52	51	50	54	53	52	30	44	44	50	50	51	0	22	2	820,000$
Scratches

	TEAM AVERAGE	100.00	49	41	51	68	52	51	50	54	53	52	30	44	44	50	50	51

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ulf Samuelsson	69	75	76	62	86	80	61	SWE	58	1	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 Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Cam Atkinson	Roadrunners (UTA)	LW/RW	35	1989-06-05	No	174 Lbs	5 ft8	Yes	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$		Link / NHL Link
Elmer Soderblom	Roadrunners (UTA)	C/LW	23	2001-05-07	Yes	246 Lbs	6 ft8	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
Ethan Bear	Roadrunners (UTA)	D	27	1997-06-26	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	775,000$	775,000$	0$	0$	No			Link / NHL Link
Filip Chytil	Roadrunners (UTA)	C/LW	25	1999-09-05	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,925,000$	1,925,000$	0$	0$	No			Link / NHL Link
Leevi Merilainen	Hockey Club	G	22	2002-08-13	Yes	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	820,000$	820,000$	820,000$	820,000$	No	820,000$		Link
Lukas Rousek	Roadrunners (UTA)	RW	25	1999-04-20	No	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	830,000$	830,000$	0$	0$	No	830,000$	830,000$	Link
Peter DiLiberatore	Roadrunners (UTA)	D	24	2000-03-31	No	160 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Link
Robert Bortuzzo	Roadrunners (UTA)	D	35	1989-03-18	No	216 Lbs	6 ft4	Yes	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$		Link / NHL Link
Ruslan Iskhakov	Roadrunners (UTA)	C	24	2000-07-22	No	152 Lbs	5 ft7	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
Taylor Fedun	Roadrunners (UTA)	D	36	1988-06-04	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No			Link / NHL Link
Zack Kassian	Roadrunners (UTA)	RW	33	1991-01-24	No	211 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
11	28.09	192 Lbs	6 ft1	1.82	1,061,364$

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	1	18	-17	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	1	2	3	0	0	25	13	10	0	28	194	160	184	0	104	30	8	26	9	0	0.00%	4	3	25.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
2	Admirals	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	7	14	21	0	0	25	13	10	0	65	194	160	184	0	97	20	6	24	3	0	0.00%	3	0	100.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
3	Firebirds	2	1	0	0	0	1	0	0	11	8	3	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	11	22	33	0	0	25	13	10	0	132	194	160	184	0	93	28	0	38	2	1	50.00%	0	0	0.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
4	Ice Hogs	2	1	1	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	7	13	20	0	0	25	13	10	0	106	194	160	184	0	88	23	4	64	5	0	0.00%	2	1	50.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
5	Moose	2	0	2	0	0	0	0	0	1	15	-14	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	25	13	10	0	20	194	160	184	0	60	16	4	7	10	0	0.00%	3	3	0.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
6	Silver Knights	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	1	1	2	0	0	25	13	10	0	21	194	160	184	0	60	14	16	15	4	0	0.00%	7	2	71.43%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
7	Stars	2	0	2	0	0	0	0	0	4	18	-14	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	11	-9	0	0.000	4	8	12	0	0	25	13	10	0	44	194	160	184	0	130	38	12	32	4	1	25.00%	6	1	83.33%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
8	Thunderbirds	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	20	30	0	0	25	13	10	0	78	194	160	184	0	100	29	12	49	1	1	100.00%	6	2	66.67%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
9	Wild	2	0	2	0	0	0	0	0	6	17	-11	1	0	1	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	6	12	18	0	0	25	13	10	0	44	194	160	184	0	96	23	0	30	3	0	0.00%	1	0	100.00%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
	Total	18	3	14	0	0	1	0	0	48	120	-72	9	3	6	0	0	0	0	0	28	57	-29	9	0	8	0	0	1	0	0	20	63	-43	7	0.194	48	94	142	0	0	25	13	10	0	538	194	160	184	0	828	221	62	285	41	3	7.32%	32	12	62.50%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
	_Since Last GM Reset	18	3	14	0	0	1	0	0	48	120	-72	9	3	6	0	0	0	0	0	28	57	-29	9	0	8	0	0	1	0	0	20	63	-43	7	0.194	48	94	142	0	0	25	13	10	0	538	194	160	184	0	828	221	62	285	41	3	7.32%	32	12	62.50%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77
	_Vs Conference	18	3	14	0	0	1	0	0	48	120	-72	9	3	6	0	0	0	0	0	28	57	-29	9	0	8	0	0	1	0	0	20	63	-43	7	0.194	48	94	142	0	0	25	13	10	0	538	194	160	184	0	828	221	62	285	41	3	7.32%	32	12	62.50%	0	124	354	35.03%	163	495	32.93%	106	315	33.65%	283	198	602	123	195	77

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	7	OTL1	48	94	142	538	828	221	62	285	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	3	14	0	1	0	0	48	120

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	6	0	0	0	0	28	57

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	0	8	0	1	0	0	20	63

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	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
41	3	7.32%	32	12	62.50%	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
194	160	184	0	25	13	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
124	354	35.03%	163	495	32.93%	106	315	33.65%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
283	198	602	123	195	77

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	Link
1 - 2024-09-23	5	Roadrunners	1	Americans	10	AL		BoxScore
2 - 2024-09-24	24	Thunderbirds	4	Roadrunners	6	BW		BoxScore
4 - 2024-09-26	45	Moose	8	Roadrunners	1	BL		BoxScore
5 - 2024-09-27	57	Roadrunners	0	Silver Knights	5	AL		BoxScore
6 - 2024-09-28	70	Roadrunners	2	Wild	7	AL		BoxScore
7 - 2024-09-29	84	Stars	7	Roadrunners	2	BL		BoxScore
9 - 2024-10-01	105	Admirals	5	Roadrunners	2	BL		BoxScore
10 - 2024-10-02	118	Roadrunners	2	Stars	11	AL		BoxScore
11 - 2024-10-03	133	Roadrunners	2	Ice Hogs	6	AL		BoxScore
12 - 2024-10-04	146	Wild	10	Roadrunners	4	BL		BoxScore
14 - 2024-10-06	171	Silver Knights	9	Roadrunners	1	BL		BoxScore
15 - 2024-10-07	180	Roadrunners	4	Thunderbirds	5	AL		BoxScore
16 - 2024-10-08	198	Firebirds	3	Roadrunners	7	BW		BoxScore
18 - 2024-10-10	219	Roadrunners	0	Moose	7	AL		BoxScore
19 - 2024-10-11	234	Americans	8	Roadrunners	0	BL		BoxScore
23 - 2024-10-15	265	Ice Hogs	3	Roadrunners	5	BW		BoxScore
24 - 2024-10-16	280	Roadrunners	5	Admirals	7	AL		BoxScore
25 - 2024-10-17	283	Roadrunners	4	Firebirds	5	AL	X	BoxScore

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

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

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,085,500$	1,085,500$	0$

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

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

Roadrunners 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
Regular Season
2023	72	9	63	0	0	0	0	0	116	467	-351	36	5	31	0	0	0	0	0	52	224	-172	36	4	32	0	0	0	0	0	64	243	-179	18	116	228	344	0	0	46	43	27	0	1595	500	540	555	0	3425	973	274	1022	188	10	5.32%	126	42	66.67%	0	447	1356	32.96%	545	2099	25.96%	287	1135	25.29%	921	619	2666	498	732	264
Total Regular Season	72	9	63	0	0	0	0	0	116	467	-351	36	5	31	0	0	0	0	0	52	224	-172	36	4	32	0	0	0	0	0	64	243	-179	18	116	228	344	0	0	46	43	27	0	1595	500	540	555	0	3425	973	274	1022	188	10	5.32%	126	42	66.67%	0	447	1356	32.96%	545	2099	25.96%	287	1135	25.29%	921	619	2666	498	732	264
Playoff
Total Playoff	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

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: 18 \| W: 3 \| L: 14 \| OTL: 1 \| P: 7 GF: 48 \| GA: 120 \| PP%: 7.32% \| PK%: 62.50% GM : Jimmy \| Morale : 50 \| Team Overall : 61