LHSDB - Ligue de hockey simulee des debiles barbus

Phoenix Coyotes
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

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	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Eric Tangradi	X			100.00	83	46	81	62	92	73	76	61	56	58	63	64	69	80	72	46	50	64	0
2	Brendan Woods	X			100.00	79	60	64	58	87	81	85	56	65	59	57	61	58	77	69	46	50	62	0
3	Darren Archibald	X			100.00	76	38	89	61	85	77	81	58	62	57	60	59	56	79	70	34	50	62	0
4	Anthony Peluso		X		100.00	79	54	72	55	88	79	74	53	52	56	54	64	53	80	72	33	50	60	0
5	Jamie Devane	X			100.00	87	76	57	56	96	70	75	55	53	52	54	60	54	78	70	53	50	60	0
6	Rich Clune	X			100.00	73	84	59	55	72	69	74	54	52	51	56	53	57	84	80	35	50	57	0
7	Steven Whitney		X		100.00	61	46	78	56	61	69	63	54	52	53	57	52	56	78	67	35	50	56	0
8	Nikita Nesterov			X	100.00	74	34	83	64	71	85	73	66	30	67	55	63	52	75	68	45	50	65	0
9	Zach Trotman			X	100.00	81	75	84	60	87	71	76	58	30	61	57	62	49	79	71	38	50	64	0
10	Brandon Manning			X	100.00	61	74	57	64	78	77	75	63	30	62	60	61	50	79	71	34	50	63	0
11	Matt Bartkowski			X	100.00	58	35	95	60	78	78	74	58	30	60	56	64	49	82	73	29	50	63	0
12	Frank Corrado			X	100.00	66	43	83	55	75	68	73	55	30	59	50	56	45	75	68	41	50	59	0
Scratches

	TEAM AVERAGE				100.00	73	55	75	59	81	75	75	58	45	58	57	60	54	79	71	39	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
1	Zane McIntyre	100.00	74	88	86	82	73	72	74	73	72	74	73	77	83	40	50	74	0
2	Dylan Ferguson	100.00	77	75	83	75	76	75	77	76	75	77	76	65	69	49	50	73	0
Scratches
1	Charlie Lindgren	100.00	75	80	79	76	74	73	75	74	73	75	74	76	82	54	50	73	0
2	Brad Thiessen	100.00	70	81	79	70	69	68	70	69	68	70	69	85	89	23	50	70	0
3	Martin Ouellette	100.00	62	75	79	70	61	60	62	61	60	62	61	78	84	39	50	64	0

	TEAM AVERAGE	100.00	72	80	81	75	71	70	72	71	70	72	71	76	81	41	50	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Nightingale	65	59	59	66	60	56	85	USA	41	8	1,000,000$

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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Eric Tangradi	Roadrunners (PHX)	LW	82	28	58	86	38	54	0	97	155	315	96	221	8.89%	42	1368	16.69	3	4	7	29	111	1	1	2	3	153	0	0	58.35%	413	0	0	1.26	0	2	0	0	0	2	4	3
2	Anthony Peluso	Roadrunners (PHX)	RW	82	36	39	75	29	75	5	133	100	254	61	167	14.17%	44	1214	14.82	4	3	7	27	116	0	0	0	0	6	5	1	44.30%	79	0	2	1.23	0	0	0	0	1	6	5	5
3	Phillip Di Giuseppe	Phoenix Coyotes	LW/RW	73	25	38	63	35	65	5	110	111	264	61	151	9.47%	13	1652	22.64	9	14	23	67	328	1	1	2	10	246	6	1	47.95%	171	0	0	0.76	2	7	0	0	1	4	7	5
4	Brendan Woods	Roadrunners (PHX)	LW	82	29	21	50	-14	126	10	159	138	213	59	158	13.62%	39	1016	12.40	0	1	1	2	4	0	0	0	1	90	3	0	61.26%	617	0	1	0.98	0	0	2	0	0	6	3	1
5	Frank Corrado	Roadrunners (PHX)	D	82	6	32	38	14	68	0	137	52	45	12	23	13.33%	62	833	10.16	1	0	1	9	9	0	0	0	0	39	1	0	0.00%	1	0	0	0.91	0	0	0	0	0	3	1	4
6	Zac Dalpe	Phoenix Coyotes	C	49	17	19	36	15	14	0	18	67	140	32	113	12.14%	7	802	16.37	4	6	10	24	159	0	0	0	0	6	2	2	64.70%	558	0	1	0.90	0	1	0	0	0	3	3	0
7	Brandon Manning	Roadrunners (PHX)	D	69	1	30	31	21	76	10	103	54	91	29	69	1.10%	75	1237	17.94	0	7	7	67	215	0	2	2	3	244	0	0	50.00%	2	0	0	0.50	0	0	1	1	0	2	2	3
8	Steven Whitney	Roadrunners (PHX)	RW	82	9	21	30	4	6	0	13	40	90	24	76	10.00%	15	488	5.95	0	1	1	2	9	0	0	0	1	24	3	1	50.00%	54	0	0	1.23	0	0	0	0	0	0	0	4
9	Thomas Hickey	Phoenix Coyotes	D	43	1	28	29	13	42	0	53	47	61	17	37	1.64%	37	996	23.18	1	13	14	49	181	0	2	2	1	199	0	0	0.00%	0	0	0	0.58	0	0	0	0	0	1	2	2
10	Zach Trotman	Roadrunners (PHX)	D	23	4	23	27	6	73	5	79	30	48	15	32	8.33%	42	523	22.77	2	8	10	27	86	0	1	1	3	96	1	1	0.00%	0	0	0	1.03	0	0	1	0	0	1	3	1
11	Darren Archibald	Roadrunners (PHX)	LW	23	7	9	16	-2	10	0	31	38	85	29	54	8.24%	8	475	20.66	1	3	4	20	85	0	0	0	1	64	0	0	53.19%	94	0	0	0.67	0	2	0	0	0	2	0	2
12	Jamie Devane	Roadrunners (PHX)	LW	23	5	8	13	4	48	0	62	25	49	19	41	10.20%	2	396	17.25	2	3	5	12	81	0	0	0	0	5	0	1	59.34%	482	0	1	0.66	0	0	0	0	0	1	0	0
13	Buddy Robinson	Phoenix Coyotes	LW/RW	9	6	0	6	6	7	5	10	15	35	8	38	17.14%	4	211	23.49	0	0	0	4	28	1	0	1	1	59	2	0	73.68%	19	1	0	0.57	0	0	0	1	0	2	1	1
14	Matt Bartkowski	Roadrunners (PHX)	D	23	2	4	6	0	12	0	18	22	30	12	25	6.67%	33	491	21.38	1	1	2	16	77	0	0	0	1	115	0	0	0.00%	0	0	0	0.24	0	0	0	0	0	1	0	1
15	Nikita Nesterov	Roadrunners (PHX)	D	8	0	2	2	-2	8	0	15	12	9	2	9	0.00%	10	189	23.67	0	0	0	4	24	0	0	0	1	54	0	0	0.00%	0	0	0	0.21	0	0	0	0	0	0	0	0
16	Julian Melchiori	Phoenix Coyotes	D	2	0	1	1	1	8	0	16	2	9	2	5	0.00%	4	46	23.03	0	0	0	8	9	0	0	0	0	0	0	0	0.00%	0	0	0	0.43	0	0	0	0	0	0	0	0
Team Total or Average				755	176	333	509	168	692	40	1054	908	1738	478	1219	10.13%	437	11944	15.82	28	64	92	367	1529	3	7	10	26	1406	23	7	59.24%	2490	1	5	0.85	2	12	4	2	2	34	31	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Charlie Lindgren	Roadrunners (PHX)	56	31	22	3	0.896	2.41	3343	8	5	134	1284	2	0	0.923	13	56	0	6	0	1
2	Zane McIntyre	Roadrunners (PHX)	23	11	10	2	0.907	2.62	1350	2	0	59	634	1	1	0.600	5	23	0	1	3	1
3	Dylan Ferguson	Roadrunners (PHX)	1	0	0	0	1.000	0.00	43	0	0	0	22	0	0	0.000	0	0	23	0	0	0
Team Total or Average			80	42	32	5	0.901	2.45	4737	10	5	193	1940	3	1	0.833	18	79	23	7	3	2

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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Anthony Peluso	RW	32	1989-04-18	No	225 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	491,289$	0$	0$	No	Link / NHL Link
Brad Thiessen	G	36	1986-03-19	No	180 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Brandon Manning	D	31	1990-06-04	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,849,068$	0$	0$	No	Link / NHL Link
Brendan Woods	LW	29	1992-06-11	No	210 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	499,994$	0$	0$	No	Link / NHL Link
Charlie Lindgren	G	28	1993-12-18	No	182 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Darren Archibald	LW	32	1990-02-09	No	210 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dylan Ferguson	G	23	1998-09-20	No	189 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Eric Tangradi	LW	33	1989-02-10	No	226 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	499,994$	0$	0$	No	Link / NHL Link
Frank Corrado	D	28	1993-03-26	No	205 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	494,527$	0$	0$	No	Link / NHL Link
Jamie Devane	LW	31	1991-02-20	No	232 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Martin Ouellette	G	30	1991-12-30	No	160 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matt Bartkowski	D	33	1988-06-04	No	201 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nikita Nesterov	D	28	1993-03-28	No	191 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Rich Clune	LW	34	1987-04-25	No	207 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Steven Whitney	RW	31	1991-02-18	No	168 Lbs	5 ft7	No	No	No	1	UFA	Pro & Farm	494,528$	0$	0$	No	Link / NHL Link
Zach Trotman	D	31	1990-08-26	No	217 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	499,994$	0$	0$	No	Link / NHL Link
Zane McIntyre	G	29	1992-08-20	No	206 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	30.53	201 Lbs	6 ft1	1.76	542,906$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eric Tangradi	Jamie Devane		40	1	2	2
2	Darren Archibald		Anthony Peluso	30	1	2	2
3	Brendan Woods		Steven Whitney	20	1	2	2
4	Jamie Devane	Eric Tangradi		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Zach Trotman	40	1	2	2
2	Matt Bartkowski	Brandon Manning	30	1	2	2
3	Frank Corrado		20	1	2	2
4		Zach Trotman	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eric Tangradi	Jamie Devane		60	1	2	2
2	Darren Archibald		Anthony Peluso	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Zach Trotman	60	1	2	2
2	Matt Bartkowski	Brandon Manning	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Tangradi		60	1	2	2
2	Darren Archibald	Brendan Woods	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Zach Trotman	60	1	2	2
2	Matt Bartkowski	Brandon Manning	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Eric Tangradi	60	1	2	2		Zach Trotman	60	1	2	2
2		40	1	2	2	Matt Bartkowski	Brandon Manning	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Tangradi		60	1	2	2
2	Darren Archibald	Brendan Woods	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Zach Trotman	60	1	2	2
2	Matt Bartkowski	Brandon Manning	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Eric Tangradi	Jamie Devane			Zach Trotman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Eric Tangradi	Jamie Devane			Zach Trotman

Extra Forwards
Normal	PowerPlay	Penalty Kill
Steven Whitney, Anthony Peluso, Brendan Woods	Steven Whitney, Anthony Peluso	Brendan Woods

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Frank Corrado, Matt Bartkowski, Brandon Manning	Frank Corrado	Matt Bartkowski, Brandon Manning

Penalty Shots
Eric Tangradi, , Darren Archibald, Brendan Woods, Jamie Devane

Goalie
#1 : Zane McIntyre, #2 : Dylan Ferguson

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	49	L1	223	394	617	2298	3009	912	1013	1655	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	19	56	4	1	0	2	223	364

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	9	28	3	1	0	0	112	179

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	10	28	1	0	0	2	111	185

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	0	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
376	48	12.77%	434	116	73.27%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
755	832	700	17	82	84	53	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
952	2315	41.12%	1107	2724	40.64%	526	1263	41.65%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1639	1149	2395	581	906	409

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
1 - 2021-10-01	7	Palm Springs	3	Roadrunners	5	W			BoxScore
5 - 2021-10-05	35	Wolves	6	Roadrunners	1	L			BoxScore
7 - 2021-10-07	58	Roadrunners	5	IceHogs	6	L			BoxScore
8 - 2021-10-08	68	Stars	6	Roadrunners	1	L			BoxScore
11 - 2021-10-11	88	Roadrunners	1	Rampage	6	L			BoxScore
12 - 2021-10-12	100	Thunderbirds	5	Roadrunners	0	L			BoxScore
15 - 2021-10-15	117	Roadrunners	6	Condors	7	L			BoxScore
16 - 2021-10-16	127	Roadrunners	0	Checkers	3	L			BoxScore
17 - 2021-10-17	143	Bears	6	Roadrunners	5	L			BoxScore
20 - 2021-10-20	164	Rocket	4	Roadrunners	3	L	X		BoxScore
21 - 2021-10-21	172	Roadrunners	1	Marlies	6	L			BoxScore
24 - 2021-10-24	197	Sound Tigers	8	Roadrunners	6	L			BoxScore
27 - 2021-10-27	215	Roadrunners	6	Eagles	2	W			BoxScore
28 - 2021-10-28	228	Gulls	6	Roadrunners	4	L			BoxScore
30 - 2021-10-30	243	Roadrunners	3	Wolf Pack	7	L			BoxScore
32 - 2021-11-01	254	Roadrunners	6	Palm Springs	4	W			BoxScore
33 - 2021-11-02	271	Admirals	4	Roadrunners	3	L			BoxScore
36 - 2021-11-05	292	Devils	7	Roadrunners	1	L			BoxScore
38 - 2021-11-07	305	Roadrunners	1	Bruins	5	L			BoxScore
40 - 2021-11-09	323	Wolves	6	Roadrunners	0	L			BoxScore
43 - 2021-11-12	341	Roadrunners	2	Stars	6	L			BoxScore
45 - 2021-11-14	354	Monsters	3	Roadrunners	2	L			BoxScore
47 - 2021-11-16	375	Roadrunners	3	Sound Tigers	7	L			BoxScore
48 - 2021-11-17	386	Roadrunners	0	Rampage	5	L			BoxScore
49 - 2021-11-18	397	Rampage	5	Roadrunners	0	L			BoxScore
53 - 2021-11-22	422	Roadrunners	2	Americans	4	L			BoxScore
54 - 2021-11-23	432	Condors	2	Roadrunners	5	W			BoxScore
57 - 2021-11-26	454	Stars	8	Roadrunners	1	L			BoxScore
59 - 2021-11-28	475	Roadrunners	2	Condors	7	L			BoxScore
60 - 2021-11-29	486	Rocket	4	Roadrunners	0	L			BoxScore
62 - 2021-12-01	506	Roadrunners	0	Griffins	9	L			BoxScore
64 - 2021-12-03	518	Thunderbirds	8	Roadrunners	2	L			BoxScore
67 - 2021-12-06	538	Roadrunners	2	Senators	6	L			BoxScore
68 - 2021-12-07	549	Roadrunners	2	Admirals	8	L			BoxScore
69 - 2021-12-08	560	Penguins	5	Roadrunners	1	L			BoxScore
71 - 2021-12-10	583	IceHogs	5	Roadrunners	6	W			BoxScore
74 - 2021-12-13	604	Roadrunners	2	Wolf Pack	4	L			BoxScore
75 - 2021-12-14	614	Roadrunners	5	Reign	3	W			BoxScore
76 - 2021-12-15	624	Palm Springs	4	Roadrunners	7	W			BoxScore
79 - 2021-12-18	647	Bears	4	Roadrunners	5	W	X		BoxScore
81 - 2021-12-20	665	Roadrunners	7	IceHogs	4	W			BoxScore
82 - 2021-12-21	675	Roadrunners	1	Monsters	6	L			BoxScore
84 - 2021-12-23	687	Senators	3	Roadrunners	2	L			BoxScore
86 - 2021-12-25	710	Phantoms	4	Roadrunners	3	L			BoxScore
89 - 2021-12-28	725	Roadrunners	2	Thunderbirds	6	L			BoxScore
91 - 2021-12-30	741	Barracuda	5	Roadrunners	1	L			BoxScore
93 - 2022-01-01	761	Roadrunners	2	Penguins	7	L			BoxScore
95 - 2022-01-03	775	Crunch	4	Roadrunners	3	L			BoxScore
97 - 2022-01-05	794	Roadrunners	6	Bears	5	W			BoxScore
99 - 2022-01-07	805	Gulls	3	Roadrunners	1	L			BoxScore
102 - 2022-01-10	837	Wolf Pack	5	Roadrunners	1	L			BoxScore
104 - 2022-01-12	853	Roadrunners	1	Marlies	3	L			BoxScore
105 - 2022-01-13	864	Roadrunners	5	Palm Springs	4	W	X		BoxScore
107 - 2022-01-15	873	Americans	5	Roadrunners	0	L			BoxScore
109 - 2022-01-17	898	Checkers	6	Roadrunners	5	L			BoxScore
110 - 2022-01-18	908	Roadrunners	2	Checkers	1	W			BoxScore
112 - 2022-01-20	919	Roadrunners	2	Wolves	3	L			BoxScore
113 - 2022-01-21	935	Roadrunners	6	Heat	8	L			BoxScore
114 - 2022-01-22	942	Comets	6	Roadrunners	3	L			BoxScore
118 - 2022-01-26	968	Sound Tigers	1	Roadrunners	2	W	X		BoxScore
119 - 2022-01-27	984	Roadrunners	1	Phantoms	3	L			BoxScore
120 - 2022-01-28	995	Roadrunners	7	Moose	1	W			BoxScore
122 - 2022-01-30	1007	Heat	3	Roadrunners	4	W	X		BoxScore
124 - 2022-02-01	1032	Marlies	1	Roadrunners	3	W			BoxScore
127 - 2022-02-04	1047	Roadrunners	0	Comets	2	L			BoxScore
128 - 2022-02-05	1061	Roadrunners	3	Heat	2	W			BoxScore
129 - 2022-02-06	1072	Griffins	5	Roadrunners	1	L			BoxScore
133 - 2022-02-10	1096	Griffins	5	Roadrunners	4	L			BoxScore
135 - 2022-02-12	1107	Roadrunners	1	Devils	3	L			BoxScore
137 - 2022-02-14	1123	Roadrunners	3	Eagles	4	L			BoxScore
139 - 2022-02-16	1133	Eagles	4	Roadrunners	0	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2022-02-20	1162	Reign	3	Roadrunners	6	W			BoxScore
145 - 2022-02-22	1183	Roadrunners	5	Crunch	6	L	X	X	BoxScore
146 - 2022-02-23	1192	Americans	1	Roadrunners	3	W			BoxScore
149 - 2022-02-26	1207	Roadrunners	3	Phantoms	2	W			BoxScore
151 - 2022-02-28	1226	Wild	2	Roadrunners	8	W			BoxScore
153 - 2022-03-02	1238	Roadrunners	1	Gulls	2	L	X	X	BoxScore
154 - 2022-03-03	1249	Roadrunners	4	Wild	2	W			BoxScore
155 - 2022-03-04	1256	Roadrunners	0	Comets	1	L			BoxScore
157 - 2022-03-06	1271	Admirals	2	Roadrunners	1	L			BoxScore
161 - 2022-03-10	1291	Wild	2	Roadrunners	3	W			BoxScore
162 - 2022-03-11	1302	Roadrunners	0	Rocket	5	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	77,862	39,006
Attendance PCT	94.95%	95.14%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2850 - 95.01%	71,049$	2,913,029$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,087,198$	92,294$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	87,169$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	6,620$	0$

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
12	82	35	29	0	3	6	4	5	294	257	37	41	18	12	0	1	4	2	4	173	131	42	41	17	17	0	2	2	2	1	121	126	-5	95	294	476	770	0	7	0	115	95	77	2444	0	797	796	824	2036	600	1033	1607	504	89	17.66%	417	83	80.10%	6	1298	2515	51.61%	1146	2215	51.74%	691	1282	53.90%	2219	1643	1823	555	937	481
13	68	23	37	0	1	4	2	1	174	216	-42	34	13	16	0	0	3	1	1	90	114	-24	34	10	21	0	1	1	1	0	84	102	-18	57	174	299	473	1	4	0	61	56	54	1665	0	528	530	591	1873	548	863	1253	411	54	13.14%	339	60	82.30%	3	1093	1948	56.11%	1063	1973	53.88%	559	988	56.58%	1603	1132	1711	493	794	386
14	68	38	16	0	2	4	3	5	239	167	72	34	17	12	0	1	2	1	1	110	81	29	34	21	4	0	1	2	2	4	129	86	43	95	239	429	668	0	5	0	94	84	56	2288	0	797	709	755	1630	429	795	1280	306	63	20.59%	274	43	84.31%	4	1365	2201	62.02%	1063	1781	59.69%	622	1015	61.28%	1996	1495	1350	421	783	428
15	82	34	29	0	5	5	1	8	235	195	40	41	19	13	0	2	1	1	5	118	94	24	41	15	16	0	3	4	0	3	117	101	16	93	235	407	642	1	5	0	80	68	81	2113	0	641	668	777	2125	653	1108	1649	427	85	19.91%	458	62	86.46%	2	1130	2410	46.89%	1075	2558	42.03%	540	1138	47.45%	2080	1484	1948	573	955	484
16	82	19	56	0	4	1	0	2	223	364	-141	41	9	28	0	3	1	0	0	112	179	-67	41	10	28	0	1	0	0	2	111	185	-74	49	223	394	617	1	0	82	84	53	4	2298	755	832	700	17	3009	912	1013	1655	376	48	12.77%	434	116	73.27%	3	952	2315	41.12%	1107	2724	40.64%	526	1263	41.65%	1639	1149	2395	581	906	409
Total Regular Season	382	149	167	0	15	20	10	21	1165	1199	-34	191	76	81	0	7	11	5	11	603	599	4	191	73	86	0	8	9	5	10	562	600	-38	389	1165	2005	3170	3	21	82	434	356	272	10808	755	3595	3403	2964	10673	3142	4812	7444	2024	339	16.75%	1922	364	81.06%	18	5838	11389	51.26%	5454	11251	48.48%	2938	5686	51.67%	9538	6905	9229	2624	4377	2190
Playoff
11	7	3	4	0	0	0	0	0	13	18	-5	3	2	1	0	0	0	0	0	6	5	1	4	1	3	0	0	0	0	0	7	13	-6	6	13	22	35	0	1	0	4	3	6	156	0	41	63	52	186	55	94	129	62	11	17.74%	39	2	94.87%	0	95	213	44.60%	84	217	38.71%	37	89	41.57%	147	102	195	51	77	36
14	12	7	5	0	0	0	0	0	27	27	0	5	1	4	0	0	0	0	0	8	19	-11	7	6	1	0	0	0	0	0	19	8	11	14	27	45	72	0	3	0	9	7	8	270	0	82	84	80	297	77	176	216	67	11	16.42%	77	10	87.01%	0	189	400	47.25%	207	400	51.75%	86	176	48.86%	293	194	317	101	164	79
Total Playoff	19	10	9	0	0	0	0	0	40	45	-5	8	3	5	0	0	0	0	0	14	24	-10	11	7	4	0	0	0	0	0	26	21	5	20	40	67	107	0	4	0	13	10	14	426	0	123	147	132	483	132	270	345	129	22	17.05%	116	12	89.66%	0	284	613	46.33%	291	617	47.16%	123	265	46.42%	440	297	512	152	242	115