Fantasy Hockey League du Québec

Patriotes
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
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	Erik Haula	X		X		100.00	69	42	81	78	70	74	63	79	86	76	64	55	75	67	69	0	52	67	0
2	Tim Schaller		X	X		100.00	79	57	93	78	78	58	82	60	44	62	57	80	25	59	60	0	72	65	0
3	Michael Rasmussen (R)	X				100.00	79	55	86	72	85	62	73	74	38	63	64	64	25	51	51	0	53	64	0
4	Jordan Weal	X	X	X		100.00	63	41	90	71	63	65	83	69	90	66	64	58	75	58	59	0	59	64	0
5	Tage Thompson		X	X		100.00	75	44	90	78	79	62	87	65	45	58	60	63	63	51	51	0	71	63	0
6	Michael Spacek	X				100.00	73	67	87	67	67	81	88	57	71	59	51	62	48	44	44	0	72	60	0
7	Patrick Eaves		X	X		100.00	81	73	99	74	73	40	37	56	50	56	44	73	42	75	79	0	73	59	0
8	Wade Megan	X	X			100.00	63	42	93	68	71	50	78	58	72	59	55	61	25	45	45	0	72	58	0
9	Stelio Mattheos (R)			X		100.00	78	72	92	67	72	58	59	54	50	45	58	64	55	44	44	0	63	57	0
10	Nic Hague (R)				X	100.00	83	82	84	68	82	82	89	54	25	43	51	66	48	44	44	0	71	64	0
11	Philip Samuelsson				X	100.00	77	72	87	60	72	78	87	47	25	37	41	61	39	44	44	0	72	59	0
12	Joshua Jacobs (R)				X	100.00	77	75	81	58	75	71	78	47	25	37	41	61	39	44	44	0	72	58	0
Scratches

	TEAM AVERAGE					100.00	75	60	89	70	74	65	75	60	52	55	54	64	47	52	53	0	67	62

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	Dan Vladar (R)	100.00	54	67	84	80	50	57	54	60	55	55	30	44	44	0	64	58	0
2	Marek Mazanec	100.00	52	65	81	79	48	54	50	57	51	51	30	46	46	0	47	56	0
Scratches

	TEAM AVERAGE	100.00	53	66	83	80	49	56	52	59	53	53	30	45	45	0	56	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Hynes	82	76	79	77	63	51	71	USA	54	4	300,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Tim Schaller	Aces (MTL)	LW/RW	57	27	19	46	-19	54	174	132	174	34	103	15.52%	41	984	17.27	10	12	22	62	189	1	0	1	2	82	1	1	48.15%	162	1	0.93	2	5	3	7	2
2	Michael Spacek	Aces (MTL)	C	57	18	14	32	5	30	64	143	115	33	82	15.65%	35	736	12.92	0	0	0	2	15	0	0	0	0	16	3	1	57.39%	629	0	0.87	1	1	2	5	2
3	Philip Samuelsson	Aces (MTL)	D	57	7	22	29	-25	104	192	78	109	44	83	6.42%	77	1206	21.17	5	10	15	81	263	0	0	0	1	173	2	2	40.00%	5	0	0.48	0	0	3	2	0
4	Joshua Jacobs	Aces (MTL)	D	57	10	15	25	-16	86	186	50	69	21	46	14.49%	68	980	17.21	8	4	12	49	189	0	0	0	1	174	1	0	0.00%	1	0	0.51	0	0	3	1	0
5	Patrick Eaves	Aces (MTL)	LW/RW	35	7	14	21	5	30	40	80	70	20	56	10.00%	17	463	13.24	1	0	1	8	22	0	0	0	0	9	1	0	47.62%	63	0	0.91	0	0	1	2	1
6	Wade Megan	Aces (MTL)	C/LW	57	6	14	20	-27	18	42	67	91	29	63	6.59%	31	867	15.22	5	7	12	58	157	0	0	0	0	0	0	1	58.93%	112	0	0.46	0	0	0	0	2
7	Nic Hague	Aces (MTL)	D	20	4	10	14	2	36	53	13	36	8	21	11.11%	18	389	19.46	3	4	7	29	104	0	1	1	1	71	0	0	0.00%	0	0	0.72	0	0	1	0	1
8	Magnus Paajarvi	Patriotes	LW/RW	12	8	3	11	-6	18	21	32	34	9	30	23.53%	9	275	22.98	2	1	3	8	50	0	0	0	0	43	0	1	30.68%	88	0	0.80	0	3	0	1	1
9	Tage Thompson	Aces (MTL)	LW/RW	23	4	6	10	-8	36	53	51	57	16	32	7.02%	11	383	16.67	1	5	6	16	101	0	0	0	0	0	0	1	55.56%	18	0	0.52	0	0	0	0	2
10	Michael Rasmussen	Aces (MTL)	C	13	3	5	8	-3	18	18	27	31	7	18	9.68%	4	241	18.54	2	3	5	7	53	0	0	0	1	31	1	0	50.47%	212	0	0.66	0	2	0	0	1
11	Stelio Mattheos	Aces (MTL)	RW	11	4	3	7	8	4	10	8	18	4	13	22.22%	7	158	14.40	0	0	0	2	7	0	0	0	1	30	1	0	42.11%	38	0	0.88	0	0	0	2	0
12	Jordan Weal	Aces (MTL)	C/LW/RW	8	0	2	2	-3	0	4	14	11	4	7	0.00%	1	126	15.84	0	1	1	6	35	0	0	0	0	0	0	0	57.14%	7	0	0.32	0	0	0	0	0
13	Erik Haula	Aces (MTL)	C/RW	1	1	0	1	-1	0	0	1	2	2	2	50.00%	0	22	22.48	1	0	1	1	1	0	0	0	0	5	0	0	80.00%	20	0	0.89	0	0	0	0	0
Team Total or Average				408	99	127	226	-88	434	857	696	817	231	556	12.12%	319	6836	16.76	38	47	85	329	1192	1	1	2	7	638	10	7	52.92%	1355	1	0.66	3	11	13	20	12

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	PS %	PSA	ST	BG	S1	S2	S3
1	Marek Mazanec	Aces (MTL)	46	9	33	4	0.881	3.62	2650	4	0	160	1342	9	0.684	19	45	57	2	2	2
2	Dan Vladar	Aces (MTL)	12	4	4	3	0.863	2.67	697	0	2	31	227	1	0.750	8	12	0	1	0	0
Team Total or Average			58	13	37	7	0.878	3.42	3347	4	2	191	1569	10	0.704	27	57	57	3	2	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Dan Vladar	Aces (MTL)	G	21	1997-08-20	Yes	185 Lbs	6 ft5	No	No	No	1	Pro & Farm	742,500$	206,250$	742,500$	206,250$	0$	0$	No			Link
Erik Haula (1 Way Contract)	Aces (MTL)	C/RW	28	1991-03-23	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	2,750,000$	763,889$	2,750,000$	763,889$	750,000$	208,333$	No			Link / NHL Link
Jordan Weal (1 Way Contract)	Aces (MTL)	C/LW/RW	27	1992-04-14	No	179 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,750,000$	486,111$	1,750,000$	486,111$	0$	0$	No	1,750,000$		Link / NHL Link
Joshua Jacobs	Aces (MTL)	D	23	1996-02-15	Yes	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	742,500$	206,250$	742,500$	206,250$	0$	0$	No			Link
Marek Mazanec	Aces (MTL)	G	27	1991-07-17	No	187 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	194,444$	700,000$	194,444$	0$	0$	No			Link / NHL Link
Michael Rasmussen	Aces (MTL)	C	20	1999-04-17	Yes	220 Lbs	6 ft6	No	No	No	3	Pro & Farm	925,000$	256,944$	925,000$	256,944$	0$	0$	No	925,000$	925,000$	Link
Michael Spacek	Aces (MTL)	C	22	1997-04-09	No	187 Lbs	5 ft11	No	No	No	2	Pro & Farm	780,000$	216,667$	780,000$	216,667$	0$	0$	No	780,000$		Link
Nic Hague	Aces (MTL)	D	20	1998-12-05	Yes	214 Lbs	6 ft6	No	No	No	3	Pro & Farm	832,500$	231,250$	832,500$	231,250$	0$	0$	No	832,500$	832,500$	Link
Patrick Eaves (1 Way Contract)	Aces (MTL)	LW/RW	35	1984-04-30	No	202 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,150,000$	875,000$	3,150,000$	875,000$	1,150,000$	319,444$	No	3,150,000$		Link / NHL Link
Philip Samuelsson	Aces (MTL)	D	27	1991-07-25	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	194,444$	700,000$	194,444$	0$	0$	No			Link
Stelio Mattheos	Aces (MTL)	RW	20	1999-06-13	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	842,500$	234,028$	842,500$	234,028$	0$	0$	No	842,500$	842,500$	Link
Tage Thompson	Aces (MTL)	LW/RW	21	1997-10-30	No	205 Lbs	6 ft5	No	No	No	1	Pro & Farm	925,000$	256,944$	925,000$	256,944$	0$	0$	No			Link
Tim Schaller	Aces (MTL)	LW/RW	28	1990-11-16	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	215,278$	775,000$	215,278$	0$	0$	No			Link
Wade Megan	Aces (MTL)	C/LW	28	1990-07-22	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	194,444$	700,000$	194,444$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	24.79	198 Lbs	6 ft2	1.64	1,165,357$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Tim Schaller	30	1	2	2
2				30	1	2	2
3		Michael Spacek		25	1	2	2
4		Wade Megan		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Philip Samuelsson	30	1	2	2
2	Joshua Jacobs	Wade Megan	30	1	2	2
3			25	1	2	2
4		Philip Samuelsson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Tim Schaller	55	1	2	2
2				45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Philip Samuelsson	55	1	2	2
2	Joshua Jacobs	Wade Megan	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Tim Schaller		45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Philip Samuelsson	55	1	2	2
2	Joshua Jacobs		45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2		Philip Samuelsson	55	1	2	2
2		45	1	2	2	Joshua Jacobs		45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Tim Schaller		45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Philip Samuelsson	55	1	2	2
2	Joshua Jacobs		45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Tim Schaller		Philip Samuelsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Tim Schaller		Philip Samuelsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Michael Spacek,	, Michael Spacek

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joshua Jacobs, , Philip Samuelsson	Joshua Jacobs	, Philip Samuelsson

Penalty Shots
, , Tim Schaller, ,

Goalie
#1 : , #2 : Marek Mazanec

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	Aeros	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	35	37	36	6	23	324	374	336	39	19	5	12	11	3	1	33.33%	6	1	83.33%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
2	Bengals	3	0	2	0	0	0	0	1	5	12	-7	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	0	0	0	1	3	8	-5	1	0.167	5	6	11	0	0	35	37	36	6	60	324	374	336	39	111	24	44	88	11	4	36.36%	22	4	81.82%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
3	Blazers	3	1	2	0	0	0	0	0	5	9	-4	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	0	4	-4	2	0.333	5	10	15	0	0	35	37	36	6	55	324	374	336	39	70	19	26	43	14	1	7.14%	13	2	84.62%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
4	Boys	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	2	4	0	0	35	37	36	6	15	324	374	336	39	22	8	8	17	6	0	0.00%	4	1	75.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
5	Broncos	2	1	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	8	14	0	0	35	37	36	6	29	324	374	336	39	47	15	18	43	12	1	8.33%	9	1	88.89%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
6	Citadels	2	0	1	0	1	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	1	5	-4	1	0	0	0	1	0	0	0	6	5	1	2	0.500	7	13	20	0	0	35	37	36	6	62	324	374	336	39	54	10	26	59	15	1	6.67%	13	6	53.85%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
7	Cobras	2	0	2	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	35	37	36	6	36	324	374	336	39	41	12	26	49	16	1	6.25%	13	0	100.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
8	Devil Dogs	2	0	1	0	0	0	0	1	4	6	-2	2	0	1	0	0	0	0	1	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0.250	4	6	10	0	0	35	37	36	6	32	324	374	336	39	33	4	14	31	16	1	6.25%	7	2	71.43%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
9	Gamblers	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	6	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	35	37	36	6	7	324	374	336	39	36	11	6	11	2	0	0.00%	3	0	100.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
10	Gators	3	0	3	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	6	9	15	0	0	35	37	36	6	35	324	374	336	39	104	33	46	71	19	2	10.53%	23	5	78.26%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
11	Indians	4	1	3	0	0	0	0	0	4	17	-13	2	1	1	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	2	12	-10	2	0.250	4	4	8	0	1	35	37	36	6	71	324	374	336	39	109	27	26	54	20	2	10.00%	13	4	69.23%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
12	Jets	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	8	14	0	0	35	37	36	6	39	324	374	336	39	47	14	10	26	8	1	12.50%	5	1	80.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
13	Liberty	3	0	2	0	0	0	1	0	6	11	-5	2	0	1	0	0	0	1	0	6	7	-1	1	0	1	0	0	0	0	0	0	4	-4	2	0.333	6	7	13	0	0	35	37	36	6	79	324	374	336	39	79	31	34	76	19	2	10.53%	17	5	70.59%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
14	Mystery	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	2	4	0	0	35	37	36	6	31	324	374	336	39	71	14	40	35	16	2	12.50%	20	2	90.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
15	Oil Kings	2	0	1	0	0	0	1	0	8	8	0	2	0	1	0	0	0	1	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	11	19	0	0	35	37	36	6	35	324	374	336	39	62	13	16	28	10	3	30.00%	8	2	75.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
16	Olympic	2	0	1	0	1	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	1	0	0	0	3	2	1	2	0.500	4	5	9	0	0	35	37	36	6	51	324	374	336	39	53	12	10	38	7	1	14.29%	5	1	80.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
17	Pitbulls	5	1	3	0	0	1	0	0	9	19	-10	2	1	1	0	0	0	0	0	3	2	1	3	0	2	0	0	1	0	0	6	17	-11	3	0.300	9	11	20	0	1	35	37	36	6	69	324	374	336	39	116	42	48	66	16	1	6.25%	24	5	79.17%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
18	Redhawks	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	35	37	36	6	18	324	374	336	39	30	5	8	29	10	3	30.00%	4	1	75.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
19	Rhinos	4	1	1	0	0	0	0	2	8	12	-4	2	1	0	0	0	0	0	1	5	5	0	2	0	1	0	0	0	0	1	3	7	-4	4	0.500	8	15	23	0	0	35	37	36	6	83	324	374	336	39	106	40	44	84	20	5	25.00%	22	2	90.91%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
20	Rivercats	3	1	1	0	0	0	0	1	7	9	-2	2	1	0	0	0	0	0	1	4	4	0	1	0	1	0	0	0	0	0	3	5	-2	3	0.500	7	13	20	0	0	35	37	36	6	61	324	374	336	39	115	28	20	48	8	1	12.50%	10	1	90.00%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
21	Sun Devils	3	2	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	6	7	-1	4	0.667	9	16	25	0	0	35	37	36	6	77	324	374	336	39	88	25	34	79	17	7	41.18%	17	3	82.35%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
22	Surfers	3	0	3	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	6	-4	0	0.000	4	8	12	0	0	35	37	36	6	47	324	374	336	39	88	35	28	48	11	1	9.09%	14	1	92.86%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
	Total	57	9	37	0	2	2	2	5	112	208	-96	29	7	17	0	0	0	2	3	62	91	-29	28	2	20	0	2	2	0	2	50	117	-67	33	0.289	112	170	282	0	2	35	37	36	6	1047	324	374	336	39	1635	456	560	1084	290	42	14.48%	280	51	81.79%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
24	Winterhawks	3	0	3	0	0	0	0	0	2	20	-18	1	0	1	0	0	0	0	0	1	3	-2	2	0	2	0	0	0	0	0	1	17	-16	0	0.000	2	3	5	0	0	35	37	36	6	32	324	374	336	39	134	29	16	50	14	1	7.14%	8	1	87.50%	0	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
	_Since Last GM Reset	57	9	37	0	2	2	2	5	112	208	-96	29	7	17	0	0	0	2	3	62	91	-29	28	2	20	0	2	2	0	2	50	117	-67	33	0.289	112	170	282	0	2	35	37	36	6	1047	324	374	336	39	1635	456	560	1084	290	42	14.48%	280	51	81.79%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
	_Vs Conference	57	9	37	0	2	2	2	5	112	208	-96	29	7	17	0	0	0	2	3	62	91	-29	28	2	20	0	2	2	0	2	50	117	-67	33	0.289	112	170	282	0	2	35	37	36	6	1047	324	374	336	39	1635	456	560	1084	290	42	14.48%	280	51	81.79%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
	_Vs Division	21	3	14	0	0	1	1	2	35	84	-49	10	3	5	0	0	0	1	1	21	26	-5	11	0	9	0	0	1	0	1	14	58	-44	11	0.262	35	52	87	0	2	35	37	36	6	349	324	374	336	39	587	168	188	342	99	14	14.14%	94	15	84.04%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
57	33	L4	112	170	282	1047	1635	456	560	1084	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
57	9	37	2	2	2	5	112	208

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	7	17	0	0	2	3	62	91

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	2	20	2	2	0	2	50	117

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	8	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
290	42	14.48%	280	51	81.79%	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
324	374	336	39	35	37	36	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
484	1348	35.91%	594	1784	33.30%	293	823	35.60%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1088	747	1745	418	627	276

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	RI	Link
2 - 2019-10-08	13	Aeros	3	Aces	2	L				BoxScore
4 - 2019-10-10	26	Pitbulls	0	Aces	2	W				BoxScore
6 - 2019-10-12	37	Aces	1	Surfers	3	L				BoxScore
7 - 2019-10-13	40	Aces	3	Pitbulls	4	L	X			BoxScore
10 - 2019-10-16	59	Broncos	6	Aces	3	L				BoxScore
11 - 2019-10-17	72	Aces	6	Citadels	5	W	X		R3	BoxScore
13 - 2019-10-19	84	Devil Dogs	3	Aces	2	L	X	X		BoxScore
15 - 2019-10-21	97	Aces	2	Cobras	3	L				BoxScore
17 - 2019-10-23	107	Indians	0	Aces	2	W				BoxScore
18 - 2019-10-24	119	Blazers	2	Aces	4	W				BoxScore
21 - 2019-10-27	132	Aces	2	Rhinos	3	L	X	X		BoxScore
22 - 2019-10-28	143	Rhinos	3	Aces	2	L	X	X		BoxScore
25 - 2019-10-31	157	Aces	3	Sun Devils	5	L				BoxScore
26 - 2019-11-01	167	Aces	0	Indians	8	L				BoxScore
28 - 2019-11-03	178	Aces	2	Gators	3	L				BoxScore
30 - 2019-11-05	188	Aces	1	Rhinos	4	L				BoxScore
32 - 2019-11-07	200	Rhinos	2	Aces	3	W				BoxScore
34 - 2019-11-09	213	Citadels	5	Aces	1	L			R3	BoxScore
37 - 2019-11-12	226	Liberty	3	Aces	4	W	X	X		BoxScore
39 - 2019-11-14	240	Aces	3	Broncos	2	W				BoxScore
40 - 2019-11-15	248	Liberty	4	Aces	2	L				BoxScore
42 - 2019-11-17	261	Aces	0	Cobras	2	L				BoxScore
44 - 2019-11-19	274	Aces	0	Liberty	4	L				BoxScore
46 - 2019-11-21	283	Aces	3	Rivercats	5	L				BoxScore
48 - 2019-11-23	294	Mystery	4	Aces	1	L				BoxScore
50 - 2019-11-25	309	Gators	3	Aces	2	L				BoxScore
52 - 2019-11-27	324	Devil Dogs	3	Aces	2	L				BoxScore
55 - 2019-11-30	339	Olympic	4	Aces	1	L				BoxScore
56 - 2019-12-01	350	Aces	1	Bengals	5	L				BoxScore
58 - 2019-12-03	361	Sun Devils	1	Aces	3	W				BoxScore
60 - 2019-12-05	373	Aces	3	Olympic	2	W	X			BoxScore
61 - 2019-12-06	387	Oil Kings	3	Aces	4	W	X	X		BoxScore
63 - 2019-12-08	396	Aces	3	Sun Devils	2	W				BoxScore
65 - 2019-12-10	411	Bengals	4	Aces	2	L				BoxScore
68 - 2019-12-13	421	Aces	2	Gators	3	L				BoxScore
70 - 2019-12-15	437	Blazers	3	Aces	1	L				BoxScore
71 - 2019-12-16	449	Aces	0	Blazers	4	L				BoxScore
73 - 2019-12-18	461	Rivercats	3	Aces	2	L	X	X		BoxScore
74 - 2019-12-19	474	Aces	2	Indians	4	L				BoxScore
76 - 2019-12-21	484	Jets	4	Aces	3	L				BoxScore
78 - 2019-12-23	497	Aces	3	Jets	4	L				BoxScore
79 - 2019-12-24	509	Indians	5	Aces	0	L				BoxScore
81 - 2019-12-26	520	Aces	2	Bengals	3	L	X	X		BoxScore
83 - 2019-12-28	532	Aces	1	Surfers	3	L				BoxScore
84 - 2019-12-29	541	Surfers	4	Aces	2	L				BoxScore
86 - 2019-12-31	552	Aces	1	Mystery	3	L				BoxScore
87 - 2020-01-01	562	Aces	2	Boys	3	L	X			BoxScore
89 - 2020-01-03	573	Oil Kings	5	Aces	4	L				BoxScore
91 - 2020-01-05	588	Pitbulls	2	Aces	1	L				BoxScore
92 - 2020-01-06	598	Aces	1	Pitbulls	4	L				BoxScore
95 - 2020-01-09	611	Rivercats	1	Aces	2	W				BoxScore
97 - 2020-01-11	625	Aces	0	Winterhawks	10	L				BoxScore
98 - 2020-01-12	637	Redhawks	2	Aces	4	W			R4	BoxScore
99 - 2020-01-13	643	Aces	2	Pitbulls	9	L				BoxScore
100 - 2020-01-14	658	Gamblers	6	Aces	0	L				BoxScore
102 - 2020-01-16	670	Aces	1	Winterhawks	7	L				BoxScore
103 - 2020-01-17	679	Winterhawks	3	Aces	1	L				BoxScore
106 - 2020-01-20	696	Broncos	-	Aces	-
108 - 2020-01-22	712	Aces	-	Redhawks	-
109 - 2020-01-23	722	Aces	-	Oil Kings	-
111 - 2020-01-25	731	Redhawks	-	Aces	-
112 - 2020-01-26	743	Aces	-	Gamblers	-
114 - 2020-01-28	753	Jets	-	Aces	-
Trade Deadline --- Trades can’t be done after this day is simulated!
118 - 2020-02-01	771	Aeros	-	Aces	-
120 - 2020-02-03	786	Aces	-	Mystery	-
121 - 2020-02-04	795	Aces	-	Olympic	-
122 - 2020-02-05	804	Winterhawks	-	Aces	-
124 - 2020-02-07	821	Aeros	-	Aces	-
125 - 2020-02-08	828	Aces	-	Citadels	-
128 - 2020-02-11	846	Boys	-	Aces	-
130 - 2020-02-13	856	Aces	-	Devil Dogs	-
131 - 2020-02-14	868	Aces	-	Oil Kings	-
133 - 2020-02-16	875	Boys	-	Aces	-
134 - 2020-02-17	881	Aces	-	Gamblers	-
137 - 2020-02-20	895	Aces	-	Aeros	-
138 - 2020-02-21	905	Cobras	-	Aces	-
142 - 2020-02-25	924	Cobras	-	Aces	-
143 - 2020-02-26	933	Aces	-	Aeros	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	30	10
Attendance	55,384	27,298
Attendance PCT	95.49%	94.13%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
10	2851 - 95.04%	66,707$	1,934,500$	3000	90

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
740,873$	693,200$	693,200$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
4,814$	524,188$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
667,069$	40	6,897$	275,880$

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
2019	57	9	37	0	2	2	2	5	112	208	-96	29	7	17	0	0	0	2	3	62	91	-29	28	2	20	0	2	2	0	2	50	117	-67	33	112	170	282	0	2	35	37	36	6	1047	324	374	336	39	1635	456	560	1084	290	42	14.48%	280	51	81.79%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276
Total Regular Season	57	9	37	0	2	2	2	5	112	208	-96	29	7	17	0	0	0	2	3	62	91	-29	28	2	20	0	2	2	0	2	50	117	-67	33	112	170	282	0	2	35	37	36	6	1047	324	374	336	39	1635	456	560	1084	290	42	14.48%	280	51	81.79%	1	484	1348	35.91%	594	1784	33.30%	293	823	35.60%	1088	747	1745	418	627	276