LHSDB - Ligue de hockey simulee des debiles barbus

Colorado Avalanche
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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
1	Givani Smith	0			X		100.00	78	83	59	62	83	74	77	58	55	59	60	61	57	66	68	70	50	62	0
2	Ryan Winterton (R)	0	X				100.00	66	37	89	61	75	80	72	59	62	58	61	62	59	62	63	67	50	61	0
3	Filip Cederqvist	0			X		100.00	74	40	84	58	83	78	80	57	54	56	56	59	55	64	66	53	50	60	0
4	Tyler Madden	0	X				100.00	63	36	94	61	63	82	87	58	64	57	60	54	59	65	67	64	50	60	0
5	Oskar Pettersson (R)	0			X		100.00	71	38	95	57	80	75	64	55	53	56	56	54	57	60	62	67	50	58	0
6	Jakub Brabenec (R)	0	X				100.00	64	38	90	58	73	63	68	57	61	55	56	53	58	61	63	62	50	57	0
7	Ryan Fitzgerald	0		X			100.00	56	36	93	55	64	71	65	54	51	53	53	56	54	70	72	47	50	56	0
8	Dan Renouf	0				X	100.00	67	42	69	59	82	75	82	57	30	58	55	61	47	70	72	35	50	63	0
9	Ville Ottavainen (R)	0				X	100.00	82	40	87	56	91	72	73	55	30	58	54	61	46	62	64	62	50	63	0
10	Jacob Larsson	0				X	100.00	70	40	74	64	79	76	83	58	30	60	55	59	49	67	69	68	50	63	0
11	Scott Perunovich	0				X	100.00	60	36	90	67	65	81	74	66	30	71	53	59	49	66	68	70	50	63	0
12	Sean Day	0				X	100.00	78	40	85	56	87	70	82	55	30	59	53	58	46	66	68	61	50	62	0
13	Eemil Viro	0				X	100.00	60	36	92	58	67	63	74	57	30	55	52	56	45	62	64	67	50	58	0
Scratches
1	Tanner Kero	0	X				95.64	62	38	85	63	71	82	84	61	70	62	59	60	64	72	74	27	50	63	0

	TEAM AVERAGE					99.64	68	41	85	60	76	74	76	58	46	58	56	58	53	65	67	59	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	Eric Comrie	100.00	78	77	72	75	77	76	78	77	76	78	77	69	83	55	50	74	0
2	Hugo Alnefelt	100.00	76	82	78	77	75	74	76	75	74	76	75	63	72	65	50	73	0
Scratches
1	Calle Clang	100.00	71	77	73	79	70	69	71	70	69	71	70	62	67	66	50	69	0

	TEAM AVERAGE	100.00	75	79	74	77	74	73	75	74	73	75	74	65	74	62	50	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Charlie Huddy	68	72	70	69	94	87	51	CAN	65	5	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSS	S1	S2	S3
1	Tanner Kero	Eagles (Col)	C	19	23	10	33	6	12	43	68	147	38	105	15.65%	21	426	22.46	4	4	8	16	65	3	53	3	0	71.30%	575	2	1.55	1	5	3	3
2	Hudson Fasching	Colorado Avalanche	RW	6	8	11	19	8	2	15	19	63	21	53	12.70%	5	129	21.65	3	2	5	15	29	0	0	1	1	90.00%	10	1	2.93	0	1	2	1
3	Tyler Madden	Eagles (Col)	C	21	8	11	19	9	0	6	39	103	30	58	7.77%	3	232	11.08	0	0	0	0	0	0	0	2	1	67.79%	298	0	1.63	1	1	3	3
4	Givani Smith	Eagles (Col)	RW	21	11	7	18	8	22	41	32	86	32	67	12.79%	11	230	10.98	0	0	0	0	0	0	0	0	0	72.73%	11	0	1.56	0	2	2	2
5	Sean Day	Eagles (Col)	D	21	0	11	11	9	24	43	15	8	2	13	0.00%	10	174	8.33	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.26	0	0	0	2
6	Scott Perunovich	Eagles (Col)	D	21	0	1	1	-9	2	5	8	5	1	2	0.00%	7	63	3.00	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.32	0	0	0	0
Team Total or Average				109	50	51	101	31	62	153	181	412	124	298	12.14%	57	1257	11.54	7	6	13	31	94	3	53	6	2	70.36%	894	3	1.61	2	9	10	11

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
1	Hugo Alnefelt	Eagles (Col)	8	4	3	0	0.892	3.28	439	0	0	24	223	0	1	0	0.000	0	8	8	0	0	0
Team Total or Average			8	4	3	0	0.892	3.28	439	0	0	24	223	0	1	0	0.000	0	8	8	0	0	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	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
Calle Clang	G	22	2002-05-20	No	194 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dan Renouf	D	30	1994-06-01	No	198 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Eemil Viro	D	22	2002-04-03	No	165 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Eric Comrie	G	29	1995-07-06	No	190 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Filip Cederqvist	RW	24	2000-08-23	No	196 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Givani Smith	RW	26	1998-02-27	No	214 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Hugo Alnefelt	G	23	2001-06-04	No	177 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jacob Larsson	D	27	1997-04-29	No	193 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jakub Brabenec	C	21	2003-09-11	Yes	180 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Oskar Pettersson	RW	20	2004-02-04	Yes	198 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Ryan Fitzgerald	LW	30	1994-10-19	No	172 Lbs	5 ft9	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ryan Winterton	C	21	2003-09-04	Yes	175 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Scott Perunovich	D	26	1998-08-18	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Sean Day	D	26	1998-01-09	No	218 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tanner Kero (Out of Payroll)	C	32	1992-07-24	No	185 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Tyler Madden	C	25	1999-11-09	No	152 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ville Ottavainen	D	22	2002-08-12	Yes	210 Lbs	6 ft5	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	25.06	188 Lbs	6 ft1	2.47	479,412$

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		Tyler Madden	Givani Smith	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	Sean Day		20	1	2	2
4	Scott Perunovich		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
, , Givani Smith	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Scott Perunovich, ,	Scott Perunovich	Scott Perunovich,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , Givani Smith, , Tyler Madden,

Custom OT Lines Defensemen
, , , , Sean Day

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
21	17	L2	80	127	207	842	731	183	160	405	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	7	12	1	0	0	1	80	83

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	5	1	0	0	1	47	43

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	7	0	0	0	0	33	40

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
111	15	13.51%	76	19	75.00%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
270	270	298	7	26	33	20	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
470	728	64.56%	359	643	55.83%	198	349	56.73%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
508	384	536	135	221	107

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
8 - 2024-09-23	7	Roadrunners	3	Eagles	7	W			BoxScore
9 - 2024-09-24	22	Roadrunners	2	Eagles	7	W			BoxScore
15 - 2024-09-30	39	Canucks	6	Eagles	4	L			BoxScore
16 - 2024-10-01	54	Canucks	3	Eagles	0	L			BoxScore
22 - 2024-10-07	79	Eagles	8	Wranglers	2	W			BoxScore
24 - 2024-10-09	96	Eagles	10	Wranglers	3	W			BoxScore
29 - 2024-10-14	118	Stars	4	Eagles	3	L			BoxScore
30 - 2024-10-15	133	Stars	3	Eagles	1	L			BoxScore
33 - 2024-10-18	140	Firebirds	3	Eagles	2	L	X	X	BoxScore
34 - 2024-10-19	146	Firebirds	4	Eagles	0	L			BoxScore
37 - 2024-10-22	167	Eagles	3	Barracuda	5	L			BoxScore
38 - 2024-10-23	176	Eagles	2	Barracuda	4	L			BoxScore
43 - 2024-10-28	198	Reign	3	Eagles	4	W			BoxScore
44 - 2024-10-29	215	Reign	3	Eagles	6	W			BoxScore
48 - 2024-11-02	227	Eagles	4	Firebirds	5	L			BoxScore
50 - 2024-11-04	238	Eagles	2	Condors	4	L			BoxScore
52 - 2024-11-06	258	Eagles	4	Condors	5	L			BoxScore
57 - 2024-11-11	276	Silver Knights	6	Eagles	7	W	X		BoxScore
58 - 2024-11-12	282	Silver Knights	3	Eagles	6	W			BoxScore
65 - 2024-11-19	332	Eagles	0	Canucks	6	L			BoxScore
66 - 2024-11-20	339	Eagles	0	Canucks	6	L			BoxScore
71 - 2024-11-25	360	Griffins	-	Eagles	-
72 - 2024-11-26	373	Griffins	-	Eagles	-
78 - 2024-12-02	407	Gulls	-	Eagles	-
79 - 2024-12-03	412	Gulls	-	Eagles	-
86 - 2024-12-10	450	Eagles	-	Roadrunners	-
87 - 2024-12-11	455	Eagles	-	Roadrunners	-
89 - 2024-12-13	465	Eagles	-	Firebirds	-
93 - 2024-12-17	492	Eagles	-	Barracuda	-
94 - 2024-12-18	497	Eagles	-	Barracuda	-
99 - 2024-12-23	518	Wranglers	-	Eagles	-
100 - 2024-12-24	533	Wranglers	-	Eagles	-
103 - 2024-12-27	544	Condors	-	Eagles	-
104 - 2024-12-28	554	Condors	-	Eagles	-
107 - 2024-12-31	577	Firebirds	-	Eagles	-
108 - 2025-01-01	584	Firebirds	-	Eagles	-
113 - 2025-01-06	611	Eagles	-	Silver Knights	-
114 - 2025-01-07	625	Eagles	-	Silver Knights	-
118 - 2025-01-11	643	Eagles	-	Reign	-
120 - 2025-01-13	651	Eagles	-	Griffins	-
121 - 2025-01-14	667	Eagles	-	Griffins	-
127 - 2025-01-20	685	Canucks	-	Eagles	-
128 - 2025-01-21	703	Canucks	-	Eagles	-
131 - 2025-01-24	709	Barracuda	-	Eagles	-
132 - 2025-01-25	717	Barracuda	-	Eagles	-
135 - 2025-01-28	742	Eagles	-	Canucks	-
137 - 2025-01-30	756	Eagles	-	Canucks	-
141 - 2025-02-03	776	Eagles	-	Stars	-
142 - 2025-02-04	787	Eagles	-	Stars	-
148 - 2025-02-10	823	Reign	-	Eagles	-
149 - 2025-02-11	839	Reign	-	Eagles	-
153 - 2025-02-15	856	Eagles	-	Condors	-
156 - 2025-02-18	873	Eagles	-	Silver Knights	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19	888	Eagles	-	Silver Knights	-
160 - 2025-02-22	900	Eagles	-	Firebirds	-
162 - 2025-02-24	911	Eagles	-	Gulls	-
163 - 2025-02-25	921	Eagles	-	Gulls	-
166 - 2025-02-28	935	Condors	-	Eagles	-
167 - 2025-03-01	943	Condors	-	Eagles	-
170 - 2025-03-04	969	Roadrunners	-	Eagles	-
171 - 2025-03-05	977	Roadrunners	-	Eagles	-
174 - 2025-03-08	988	Eagles	-	Condors	-
177 - 2025-03-11	1013	Eagles	-	Reign	-
178 - 2025-03-12	1023	Eagles	-	Reign	-
181 - 2025-03-15	1038	Eagles	-	Firebirds	-
183 - 2025-03-17	1047	Barracuda	-	Eagles	-
184 - 2025-03-18	1061	Barracuda	-	Eagles	-
190 - 2025-03-24	1087	Silver Knights	-	Eagles	-
191 - 2025-03-25	1104	Silver Knights	-	Eagles	-
195 - 2025-03-29	1121	Eagles	-	Reign	-
197 - 2025-03-31	1137	Eagles	-	Roadrunners	-
198 - 2025-04-01	1151	Eagles	-	Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	23,017	11,272
Attendance PCT	95.90%	93.93%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
24	2857 - 95.25%	71,476$	857,715$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
364,345$	81,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	27,651$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,715,430$	132	5,435$	717,420$

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	8	65	0	2	6	1	0	185	431	-246	41	5	29	0	0	6	1	0	110	215	-105	41	3	36	0	2	0	0	0	75	216	-141	28	185	352	537	0	0	0	83	59	40	2191	0	738	744	697	3720	1153	696	1464	375	50	13.33%	292	84	71.23%	1	694	2043	33.97%	911	2819	32.32%	420	1316	31.91%	1234	818	2822	604	883	353
13	68	48	13	0	2	2	1	2	262	140	122	34	25	6	0	1	1	0	1	129	65	64	34	23	7	0	1	1	1	1	133	75	58	106	262	476	738	1	12	0	90	89	80	2021	0	668	670	678	1266	393	1074	1458	394	80	20.30%	438	55	87.44%	5	1309	2172	60.27%	985	1663	59.23%	600	989	60.67%	2055	1539	1274	421	772	425
14	68	10	53	0	1	4	0	0	181	358	-177	34	4	26	0	1	3	0	0	93	167	-74	34	6	27	0	0	1	0	0	88	191	-103	26	181	337	518	1	0	0	66	61	53	2068	0	691	698	675	3061	827	626	1315	238	31	13.03%	259	62	76.06%	1	645	1866	34.57%	785	2342	33.52%	376	1136	33.10%	1174	799	2159	494	753	316
15	82	5	71	0	2	3	0	1	169	463	-294	41	3	34	0	1	3	0	0	98	230	-132	41	2	37	0	1	0	0	1	71	233	-162	18	169	321	490	0	0	0	61	57	49	2063	0	712	680	666	3905	1050	739	1462	298	37	12.42%	310	88	71.61%	1	603	2029	29.72%	829	2985	27.77%	384	1302	29.49%	1212	809	2857	594	865	337
16	82	29	47	0	2	0	3	1	213	314	-101	41	14	25	0	0	0	1	1	108	157	-49	41	15	22	0	2	0	2	0	105	157	-52	69	213	399	612	1	8	0	79	60	69	2138	0	659	702	770	2701	771	925	1434	406	62	15.27%	388	75	80.67%	5	1013	2241	45.20%	1000	2560	39.06%	513	1277	40.17%	1796	1285	2243	566	906	422
17	72	41	16	0	6	0	4	5	268	151	117	36	26	6	0	2	0	0	2	147	69	78	36	15	10	0	4	0	4	3	121	82	39	107	268	489	757	1	10	0	101	84	73	2290	0	742	755	759	1623	480	862	1338	386	72	18.65%	362	48	86.74%	4	1320	2291	57.62%	1030	2083	49.45%	517	1007	51.34%	2104	1588	1474	452	801	433
18	72	54	12	0	3	1	0	2	343	117	226	36	28	4	0	2	1	0	1	177	48	129	36	26	8	0	1	0	0	1	166	69	97	117	343	632	975	1	20	0	137	118	85	2573	0	791	852	920	1577	520	946	1425	319	76	23.82%	387	32	91.73%	6	1632	2298	71.02%	1206	1938	62.23%	707	1063	66.51%	2171	1654	1375	416	785	440
19	21	7	12	0	1	0	0	1	80	83	-3	12	5	5	0	1	0	0	1	47	43	4	9	2	7	0	0	0	0	0	33	40	-7	17	80	127	207	0	0	26	33	20	1	842	270	270	298	7	731	183	160	405	111	15	13.51%	76	19	75.00%	1	470	728	64.56%	359	643	55.83%	198	349	56.73%	508	384	536	135	221	107
Total Regular Season	547	202	289	0	19	16	9	12	1701	2057	-356	275	110	135	0	8	14	2	6	909	994	-85	272	92	154	0	11	2	7	6	792	1063	-271	488	1701	3133	4834	5	50	26	650	548	450	16186	270	5271	5399	5172	18584	5377	6028	10301	2527	423	16.74%	2512	463	81.57%	24	7686	15668	49.06%	7105	17033	41.71%	3715	8439	44.02%	12256	8879	14744	3686	5989	2837
Playoff
13	12	5	7	0	0	0	0	0	37	41	-4	7	3	4	0	0	0	0	0	26	23	3	5	2	3	0	0	0	0	0	11	18	-7	10	37	73	110	0	0	0	21	10	6	381	0	131	117	126	270	86	130	245	71	17	23.94%	60	14	76.67%	0	219	385	56.88%	144	257	56.03%	94	183	51.37%	381	293	220	70	130	73
17	5	1	4	0	0	0	0	0	9	12	-3	3	0	3	0	0	0	0	0	5	9	-4	2	1	1	0	0	0	0	0	4	3	1	2	9	16	25	0	0	0	4	2	3	113	0	32	30	51	138	46	51	87	32	4	12.50%	22	2	90.91%	0	65	155	41.94%	50	169	29.59%	25	76	32.89%	120	84	121	35	58	28
18	14	10	4	0	0	0	0	0	51	30	21	7	4	3	0	0	0	0	0	25	19	6	7	6	1	0	0	0	0	0	26	11	15	20	51	89	140	0	2	0	23	15	13	396	0	140	130	126	312	91	230	247	68	16	23.53%	98	11	88.78%	0	240	387	62.02%	243	414	58.70%	138	225	61.33%	388	288	294	89	157	83
Total Playoff	31	16	15	0	0	0	0	0	97	83	14	17	7	10	0	0	0	0	0	56	51	5	14	9	5	0	0	0	0	0	41	32	9	32	97	178	275	0	2	0	48	27	22	890	0	303	277	303	720	223	411	579	171	37	21.64%	180	27	85.00%	0	524	927	56.53%	437	840	52.02%	257	484	53.10%	890	667	635	196	346	186