Fantasy Hockey League du Québec

Sound Tigers
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#	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	James Neal		X	X		100.00	69	43	86	74	81	68	84	74	38	65	60	58	63	78	82	0	80	66	0
2	Matt Puempel		X	X		100.00	77	75	81	72	75	78	82	67	50	62	66	69	63	55	55	0	80	66	0
3	Christian Dvorak	X				100.00	71	43	96	86	71	68	67	69	93	70	59	63	25	61	61	0	60	65	0
4	Chase De Leo	X				100.00	73	65	93	62	65	80	84	66	80	65	62	67	59	54	54	0	75	64	0
5	Brendan Gaunce	X	X			100.00	78	79	74	71	79	67	68	65	80	59	63	70	60	60	60	0	80	64	0
6	Josh Leivo		X	X		100.00	67	57	87	71	78	67	64	80	37	61	71	56	63	59	59	0	73	64	0
7	Tomas Nosek	X	X			100.00	76	44	91	69	79	63	85	62	63	61	62	73	25	54	55	0	73	64	0
8	Teddy Blueger	X				100.00	84	67	84	68	69	59	57	60	52	62	72	81	25	46	46	0	72	63	0
9	Dmytro Timashov		X			100.00	72	69	79	67	69	80	85	63	50	63	58	65	55	52	52	0	65	62	0
10	Justin Bailey			X		100.00	71	44	93	75	79	43	74	56	25	59	55	62	25	52	52	0	71	59	0
11	JC Lipon			X		100.00	60	67	44	65	67	76	81	58	50	53	57	56	54	47	47	0	76	58	0
12	Maxim Letunov (R)	X				100.00	77	71	90	62	71	62	63	58	73	53	58	64	55	44	44	0	65	58	0
13	Adam Clendening				X	100.00	63	71	43	67	71	62	63	61	25	63	42	61	40	55	55	0	70	59	0
Scratches
1	Justin Kirkland		X			100.00	72	70	77	64	70	80	87	54	50	56	48	61	46	45	45	0	53	58	0
2	Graham Knott	X	X			100.00	77	73	87	62	73	73	80	50	63	47	46	64	44	50	50	0	44	57	0
3	Jens Looke		X	X		100.00	74	66	92	65	66	71	76	52	50	46	53	62	50	47	47	0	44	57	0
4	Nikita Korostelev			X		100.00	79	72	95	65	72	66	69	54	50	56	47	64	45	44	44	0	44	57	0
5	Nikita Popugaev (R)		X	X		100.00	87	83	95	66	83	53	53	54	50	46	57	68	54	44	44	0	44	57	0
6	Justin Auger			X		100.00	86	87	84	64	87	57	59	50	50	38	57	67	54	45	45	0	44	56	0

	TEAM AVERAGE					100.00	74	66	83	68	74	67	73	61	54	57	58	65	48	52	52	0	64	61

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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`)
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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	Martin Jones	100.00	62	91	87	81	56	68	60	66	62	62	95	65	67	0	80	67	0
2	Oscar Dansk	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	0	80	61	0
Scratches
1	Michal Neuvirth	100.00	57	50	63	77	61	58	50	59	57	56	30	64	65	0	44	59	0

	TEAM AVERAGE	100.00	60	67	75	79	59	63	56	64	60	60	52	58	59	0	68	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Playfair	30	30	30	30	30	30	30	CAN	51	3	300,000$

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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	Brendan Gaunce	Bengals (TBS)	C/LW	36	20	28	48	30	30	60	82	108	20	66	18.52%	12	528	14.68	0	1	1	10	46	0	0	0	0	18	5	1	60.37%	429	1	1.82	0	0	7	0	1
2	Matt Puempel	Bengals (TBS)	LW/RW	36	13	24	37	13	34	91	60	91	28	67	14.29%	16	682	18.96	6	11	17	26	157	0	1	1	1	112	1	0	54.90%	51	0	1.08	1	2	1	5	4
3	James Neal	Bengals (TBS)	LW/RW	36	11	22	33	10	16	26	59	81	28	54	13.58%	22	730	20.29	5	11	16	30	152	0	0	0	1	154	2	1	43.84%	73	0	0.90	0	2	1	2	0
4	Chase De Leo	Bengals (TBS)	C	36	12	19	31	21	18	29	62	72	19	53	16.67%	19	556	15.46	0	0	0	0	0	0	0	0	0	0	1	1	63.25%	166	1	1.11	0	0	3	2	1
5	Teddy Blueger	Bengals (TBS)	C	36	11	20	31	9	54	55	35	80	28	47	13.75%	32	567	15.76	9	7	16	59	126	0	0	0	0	0	1	2	100.00%	2	0	1.09	0	0	2	0	3
6	Joel Edmundson	Sound Tigers	D	31	9	22	31	0	72	110	43	50	19	42	18.00%	42	659	21.29	8	6	14	38	130	0	1	1	0	76	0	1	0.00%	0	0	0.94	0	0	2	3	1
7	Tomas Nosek	Bengals (TBS)	C/LW	22	13	15	28	20	8	16	30	40	10	38	32.50%	7	306	13.93	0	1	1	2	16	1	0	1	1	5	2	1	47.37%	19	0	1.83	0	0	2	3	2
8	Paul Byron	Sound Tigers	C/LW/RW	24	15	11	26	8	14	45	78	84	17	50	17.86%	20	542	22.60	4	7	11	19	81	0	0	0	1	110	2	1	43.78%	587	0	0.96	1	2	2	2	2
9	Justin Bailey	Bengals (TBS)	RW	36	7	13	20	-15	24	69	51	74	21	78	9.46%	17	588	16.34	3	5	8	24	128	0	0	0	0	0	2	0	30.77%	26	1	0.68	0	0	1	1	2
10	Josh Leivo	Bengals (TBS)	LW/RW	21	7	10	17	-2	18	19	28	64	20	55	10.94%	4	350	16.70	2	3	5	17	72	0	0	0	0	1	1	0	42.11%	19	0	0.97	1	1	1	0	0
11	Christian Dvorak	Bengals (TBS)	C	10	1	4	5	-1	8	6	22	19	8	20	5.26%	3	201	20.12	0	3	3	3	36	0	0	0	0	39	0	0	65.35%	202	0	0.50	0	0	0	0	1
12	Maxim Letunov	Bengals (TBS)	C	13	1	4	5	6	28	30	4	2	0	6	50.00%	9	186	14.36	0	0	0	0	11	0	0	0	0	19	0	0	72.73%	11	0	0.54	0	0	1	0	1
13	Dmytro Timashov	Bengals (TBS)	LW	13	1	3	4	5	12	10	8	11	3	5	9.09%	6	226	17.39	0	1	1	6	40	0	0	0	0	0	0	0	50.00%	2	0	0.35	0	0	0	0	0
14	Adam Clendening	Bengals (TBS)	D	3	0	0	0	-1	4	1	3	0	0	0	0.00%	3	55	18.48	0	0	0	0	10	0	0	0	0	12	0	0	0.00%	0	0	0.00	0	0	0	0	0
Team Total or Average				353	121	195	316	103	340	567	565	776	221	581	15.59%	212	6182	17.51	37	56	93	234	1011	1	2	3	4	552	17	8	53.50%	1587	3	1.02	3	7	23	18	18

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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	S2	S3
1	Martin Jones	Bengals (TBS)	36	19	13	3	0.882	2.71	2103	8	1	95	807	3	1	0.500	4	36	0	1	1
2	Oscar Dansk	Bengals (TBS)	2	1	0	0	0.960	0.86	70	0	0	1	25	0	0	0.800	5	0	36	0	0
Team Total or Average			38	20	13	3	0.885	2.65	2174	8	1	96	832	3	1	0.667	9	36	36	1	1

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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
Adam Clendening	Bengals (TBS)	D	26	1992-10-26	No	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link / NHL Link
Brendan Gaunce	Bengals (TBS)	C/LW	25	1994-03-25	No	217 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link / NHL Link
Chase De Leo	Bengals (TBS)	C	23	1995-10-25	No	185 Lbs	5 ft9	No	No	No	1	Pro & Farm	765,000$	403,750$	765,000$	403,750$	0$	0$	No			Link
Christian Dvorak	Bengals (TBS)	C	23	1996-02-02	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	892,500$	471,042$	892,500$	471,042$	0$	0$	No			Link
Dmytro Timashov	Bengals (TBS)	LW	22	1996-09-30	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	730,000$	385,278$	730,000$	385,278$	0$	0$	No			Link
Graham Knott	Bengals (TBS)	C/LW	22	1997-01-13	No	191 Lbs	6 ft3	No	No	No	2	Pro & Farm	742,500$	391,875$	742,500$	391,875$	0$	0$	No	742,500$		Link
JC Lipon	Bengals (TBS)	RW	25	1993-07-10	No	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link / NHL Link
James Neal (1 Way Contract)	Bengals (TBS)	LW/RW	31	1987-09-03	No	221 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,000,000$	2,638,889$	5,000,000$	2,638,889$	3,000,000$	1,583,333$	No			Link / NHL Link
Jens Looke	Bengals (TBS)	LW/RW	22	1997-04-11	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	817,500$	431,458$	817,500$	431,458$	0$	0$	No	817,500$		Link
Josh Leivo (1 Way Contract)	Bengals (TBS)	LW/RW	26	1993-05-26	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	488,194$	925,000$	488,194$	0$	0$	No	925,000$		Link
Justin Auger	Bengals (TBS)	RW	25	1994-05-14	No	229 Lbs	6 ft7	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link
Justin Bailey	Bengals (TBS)	RW	23	1995-07-01	No	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No			Link
Justin Kirkland	Bengals (TBS)	LW	22	1996-08-02	No	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	742,500$	391,875$	742,500$	391,875$	0$	0$	No			Link
Martin Jones (1 Way Contract)	Bengals (TBS)	G	29	1990-01-10	No	195 Lbs	6 ft4	No	No	No	1	Pro & Farm	3,000,000$	1,583,333$	3,000,000$	1,583,333$	1,000,000$	527,778$	No			Link / NHL Link
Matt Puempel	Bengals (TBS)	LW/RW	26	1993-01-24	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	382,639$	725,000$	382,639$	0$	0$	No	725,000$		Link
Maxim Letunov	Bengals (TBS)	C	23	1996-02-19	Yes	180 Lbs	6 ft4	No	No	No	3	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$	700,000$	Link
Michal Neuvirth (1 Way Contract)	Bengals (TBS)	G	31	1988-03-22	No	209 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,500,000$	1,319,444$	2,500,000$	1,319,444$	500,000$	263,889$	No			Link / NHL Link
Nikita Korostelev	Bengals (TBS)	RW	22	1997-02-08	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link
Nikita Popugaev	Bengals (TBS)	LW/RW	20	1998-11-19	Yes	217 Lbs	6 ft6	No	No	No	3	Farm Only	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$	700,000$	Link
Oscar Dansk	Bengals (TBS)	G	25	1994-02-28	No	195 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	369,444$	700,000$	369,444$	0$	0$	No	700,000$		Link
Teddy Blueger	Bengals (TBS)	C	24	1994-08-14	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	742,500$	391,875$	742,500$	391,875$	0$	0$	No			Link
Tomas Nosek (1 Way Contract)	Bengals (TBS)	C/LW	26	1992-08-31	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	962,500$	507,986$	962,500$	507,986$	0$	0$	No	962,500$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	24.59	200 Lbs	6 ft2	1.68	1,129,318$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James Neal		Matt Puempel	30	1	2	2
2			Justin Bailey	30	1	2	2
3		Brendan Gaunce	Chase De Leo	25	1	2	2
4		Chase De Leo		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			30	1	2	2
2	Teddy Blueger		30	1	2	2
3			25	1	2	2
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James Neal		Matt Puempel	55	1	2	2
2			Justin Bailey	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2	Teddy Blueger		45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		James Neal	55	1	2	2
2		Matt Puempel	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			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			55	1	2	2
2	James Neal	45	1	2	2			45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		James Neal	55	1	2	2
2		Matt Puempel	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
James Neal		Matt Puempel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
James Neal		Matt Puempel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Brendan Gaunce, ,	Brendan Gaunce,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, James Neal, , Matt Puempel,

Goalie
#1 : Martin Jones, #2 : Oscar Dansk

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

Custom OT Lines Defensemen
, , , ,

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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	Aces	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	14	23	0	0	45	48	30	6	62	288	291	250	15	34	6	14	60	16	4	25.00%	7	2	71.43%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
2	Aeros	2	0	1	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	4	7	11	1	0	45	48	30	6	39	288	291	250	15	43	16	32	34	13	1	7.69%	16	3	81.25%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
3	Citadels	3	2	0	0	0	0	1	0	19	11	8	2	2	0	0	0	0	0	0	13	6	7	1	0	0	0	0	0	1	0	6	5	1	6	1.000	19	30	49	0	0	45	48	30	6	86	288	291	250	15	86	23	56	81	23	6	26.09%	28	4	85.71%	1	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
4	Cobras	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	45	48	30	6	29	288	291	250	15	27	5	10	13	10	1	10.00%	5	1	80.00%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
5	Devil Dogs	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	45	48	30	6	22	288	291	250	15	19	8	8	20	5	0	0.00%	4	1	75.00%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
6	Gamblers	2	1	1	0	0	0	0	0	11	6	5	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	8	2	6	2	0.500	11	19	30	0	0	45	48	30	6	46	288	291	250	15	38	22	22	29	13	2	15.38%	11	3	72.73%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
7	Jets	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	6	11	0	0	45	48	30	6	42	288	291	250	15	57	10	30	32	8	3	37.50%	15	2	86.67%	1	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
8	Mystery	3	0	1	0	2	0	0	0	7	7	0	2	0	0	0	2	0	0	0	7	5	2	1	0	1	0	0	0	0	0	0	2	-2	4	0.667	7	12	19	0	0	45	48	30	6	48	288	291	250	15	78	29	36	66	21	1	4.76%	18	2	88.89%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
9	Oil Kings	2	2	0	0	0	0	0	0	10	4	6	2	2	0	0	0	0	0	0	10	4	6	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	17	27	0	0	45	48	30	6	44	288	291	250	15	32	13	24	25	7	0	0.00%	12	2	83.33%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
10	Olympic	3	2	0	0	1	0	0	0	16	6	10	1	1	0	0	0	0	0	0	9	2	7	2	1	0	0	1	0	0	0	7	4	3	6	1.000	16	28	44	0	0	45	48	30	6	90	288	291	250	15	66	23	16	57	12	4	33.33%	8	0	100.00%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
11	Pitbulls	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	45	48	30	6	28	288	291	250	15	30	7	6	17	9	1	11.11%	3	0	100.00%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
12	Redhawks	3	0	2	0	0	0	0	1	4	11	-7	1	0	1	0	0	0	0	0	2	6	-4	2	0	1	0	0	0	0	1	2	5	-3	1	0.167	4	7	11	0	0	45	48	30	6	53	288	291	250	15	74	23	34	39	13	1	7.69%	17	3	82.35%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
13	Rhinos	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	45	48	30	6	19	288	291	250	15	17	4	4	12	7	2	28.57%	2	0	100.00%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
14	Sun Devils	4	4	0	0	0	0	0	0	18	4	14	2	2	0	0	0	0	0	0	9	2	7	2	2	0	0	0	0	0	0	9	2	7	8	1.000	18	29	47	0	1	45	48	30	6	115	288	291	250	15	82	21	36	77	28	7	25.00%	18	1	94.44%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
15	Surfers	3	1	1	0	0	1	0	0	9	10	-1	0	0	0	0	0	0	0	0	0	0	0	3	1	1	0	0	1	0	0	9	10	-1	3	0.500	9	16	25	0	0	45	48	30	6	65	288	291	250	15	56	21	42	60	9	4	44.44%	21	2	90.48%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
	Total	36	16	13	0	3	2	1	1	127	98	29	17	9	5	0	2	1	0	0	70	43	27	19	7	8	0	1	1	1	1	57	55	2	43	0.597	127	212	339	1	1	45	48	30	6	835	288	291	250	15	833	250	402	655	207	38	18.36%	201	27	86.57%	2	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
17	Winterhawks	3	0	3	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	4	7	11	0	0	45	48	30	6	47	288	291	250	15	94	19	32	33	13	1	7.69%	16	1	93.75%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
	_Since Last GM Reset	36	16	13	0	3	2	1	1	127	98	29	17	9	5	0	2	1	0	0	70	43	27	19	7	8	0	1	1	1	1	57	55	2	43	0.597	127	212	339	1	1	45	48	30	6	835	288	291	250	15	833	250	402	655	207	38	18.36%	201	27	86.57%	2	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
	_Vs Conference	36	16	13	0	3	2	1	1	127	98	29	17	9	5	0	2	1	0	0	70	43	27	19	7	8	0	1	1	1	1	57	55	2	43	0.597	127	212	339	1	1	45	48	30	6	835	288	291	250	15	833	250	402	655	207	38	18.36%	201	27	86.57%	2	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
	_Vs Division	15	7	4	0	3	0	0	1	56	34	22	7	3	2	0	2	0	0	0	30	19	11	8	4	2	0	1	0	0	1	26	15	11	21	0.700	56	95	151	0	1	45	48	30	6	352	288	291	250	15	338	118	144	268	87	15	17.24%	72	9	87.50%	0	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
36	43	L1	127	212	339	835	833	250	402	655	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	16	13	3	2	1	1	127	98

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	9	5	2	1	0	0	70	43

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	7	8	1	1	1	1	57	55

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
207	38	18.36%	201	27	86.57%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
288	291	250	15	45	48	30	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
426	967	44.05%	415	1041	39.87%	238	505	47.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
824	590	950	254	402	194

Last Played Games Show or Hide Column

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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`)
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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
1 - 2019-10-07	6	Bengals	2	Surfers	3	L	X			BoxScore
2 - 2019-10-08	15	Oil Kings	2	Bengals	4	W				BoxScore
4 - 2019-10-10	29	Bengals	1	Aeros	3	L				BoxScore
7 - 2019-10-13	39	Bengals	3	Olympic	1	W				BoxScore
8 - 2019-10-14	48	Rhinos	1	Bengals	4	W				BoxScore
10 - 2019-10-16	65	Redhawks	6	Bengals	2	L				BoxScore
12 - 2019-10-18	77	Bengals	3	Jets	2	W				BoxScore
13 - 2019-10-19	87	Bengals	0	Mystery	2	L			R2	BoxScore
15 - 2019-10-21	93	Citadels	3	Bengals	4	W			R1	BoxScore
17 - 2019-10-23	108	Bengals	2	Devil Dogs	3	L				BoxScore
19 - 2019-10-25	122	Oil Kings	2	Bengals	6	W				BoxScore
21 - 2019-10-27	135	Winterhawks	2	Bengals	1	L				BoxScore
23 - 2019-10-29	148	Olympic	2	Bengals	9	W				BoxScore
25 - 2019-10-31	162	Bengals	5	Surfers	3	W				BoxScore
27 - 2019-11-02	171	Bengals	8	Gamblers	2	W				BoxScore
29 - 2019-11-04	182	Bengals	3	Sun Devils	1	W			R4	BoxScore
31 - 2019-11-06	196	Aeros	4	Bengals	3	L	X			BoxScore
33 - 2019-11-08	206	Mystery	2	Bengals	3	W	X		R2	BoxScore
36 - 2019-11-11	221	Bengals	6	Citadels	5	W	X	X	R1	BoxScore
38 - 2019-11-13	232	Gamblers	4	Bengals	3	L				BoxScore
39 - 2019-11-14	242	Bengals	6	Sun Devils	1	W			R4	BoxScore
42 - 2019-11-17	255	Sun Devils	2	Bengals	6	W				BoxScore
44 - 2019-11-19	269	Jets	3	Bengals	2	L				BoxScore
45 - 2019-11-20	281	Bengals	2	Redhawks	3	L	X	X		BoxScore
47 - 2019-11-22	291	Sun Devils	0	Bengals	3	W			R4	BoxScore
49 - 2019-11-24	303	Bengals	2	Surfers	4	L				BoxScore
51 - 2019-11-26	315	Bengals	4	Olympic	3	W	X			BoxScore
53 - 2019-11-28	327	Winterhawks	3	Bengals	2	L				BoxScore
55 - 2019-11-30	335	Bengals	1	Winterhawks	6	L				BoxScore
56 - 2019-12-01	350	Aces	1	Bengals	5	W			R1	BoxScore
58 - 2019-12-03	364	Bengals	0	Redhawks	2	L				BoxScore
60 - 2019-12-05	374	Citadels	3	Bengals	9	W			R1	BoxScore
61 - 2019-12-06	384	Bengals	3	Pitbulls	5	L				BoxScore
64 - 2019-12-09	400	Mystery	3	Bengals	4	W	X		R2	BoxScore
65 - 2019-12-10	411	Bengals	4	Aces	2	W			R1	BoxScore
67 - 2019-12-12	418	Bengals	2	Cobras	4	L				BoxScore
69 - 2019-12-14	431	Gamblers	-	Bengals	-
71 - 2019-12-16	448	Rhinos	-	Bengals	-
73 - 2019-12-18	463	Bengals	-	Boys	-
74 - 2019-12-19	472	Broncos	-	Bengals	-
76 - 2019-12-21	486	Bengals	-	Boys	-
77 - 2019-12-22	494	Bengals	-	Rhinos	-
79 - 2019-12-24	505	Olympic	-	Bengals	-
81 - 2019-12-26	520	Aces	-	Bengals	-
83 - 2019-12-28	529	Bengals	-	Indians	-
85 - 2019-12-30	545	Broncos	-	Bengals	-
86 - 2019-12-31	556	Bengals	-	Gators	-
88 - 2020-01-02	567	Liberty	-	Bengals	-
89 - 2020-01-03	580	Bengals	-	Liberty	-
91 - 2020-01-05	589	Bengals	-	Jets	-
92 - 2020-01-06	599	Redhawks	-	Bengals	-
95 - 2020-01-09	614	Pitbulls	-	Bengals	-
97 - 2020-01-11	627	Bengals	-	Devil Dogs	-
98 - 2020-01-12	638	Indians	-	Bengals	-
100 - 2020-01-14	651	Bengals	-	Indians	-
101 - 2020-01-15	662	Gators	-	Bengals	-
103 - 2020-01-17	675	Bengals	-	Oil Kings	-
104 - 2020-01-18	686	Blazers	-	Bengals	-
106 - 2020-01-20	695	Bengals	-	Cobras	-
108 - 2020-01-22	709	Bengals	-	Blazers	-
109 - 2020-01-23	718	Cobras	-	Bengals	-
110 - 2020-01-24	729	Bengals	-	Mystery	-
112 - 2020-01-26	742	Liberty	-	Bengals	-
114 - 2020-01-28	752	Bengals	-	Aeros	-
Trade Deadline --- Trades can’t be done after this day is simulated!
116 - 2020-01-30	763	Oil Kings	-	Bengals	-
118 - 2020-02-01	776	Bengals	-	Rivercats	-
120 - 2020-02-03	787	Rivercats	-	Bengals	-
121 - 2020-02-04	798	Bengals	-	Rivercats	-
123 - 2020-02-06	813	Pitbulls	-	Bengals	-
124 - 2020-02-07	820	Bengals	-	Gamblers	-
126 - 2020-02-09	836	Blazers	-	Bengals	-
127 - 2020-02-10	842	Bengals	-	Broncos	-
130 - 2020-02-13	860	Gators	-	Bengals	-
131 - 2020-02-14	863	Bengals	-	Blazers	-
133 - 2020-02-16	876	Bengals	-	Broncos	-
135 - 2020-02-18	888	Boys	-	Bengals	-
139 - 2020-02-22	912	Devil Dogs	-	Bengals	-
142 - 2020-02-25	931	Surfers	-	Bengals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	28	9
Attendance	32,554	16,309
Attendance PCT	95.75%	95.94%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
22	2874 - 95.81%	62,253$	1,058,293$	3000	90

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
612,272$	996,600$	996,600$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
6,921$	470,628$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,369,556$	76	9,004$	684,304$

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	36	16	13	0	3	2	1	1	127	98	29	17	9	5	0	2	1	0	0	70	43	27	19	7	8	0	1	1	1	1	57	55	2	43	127	212	339	1	1	45	48	30	6	835	288	291	250	15	833	250	402	655	207	38	18.36%	201	27	86.57%	2	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194
Total Regular Season	36	16	13	0	3	2	1	1	127	98	29	17	9	5	0	2	1	0	0	70	43	27	19	7	8	0	1	1	1	1	57	55	2	43	127	212	339	1	1	45	48	30	6	835	288	291	250	15	833	250	402	655	207	38	18.36%	201	27	86.57%	2	426	967	44.05%	415	1041	39.87%	238	505	47.13%	824	590	950	254	402	194