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	79	66	0
2	Christian Dvorak	X				100.00	71	43	96	86	71	68	67	69	93	70	59	63	25	61	61	0	67	65	0
3	Matt Puempel		X	X		100.00	77	75	81	72	75	78	82	67	50	62	66	69	63	55	55	0	69	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	62	64	0
5	Josh Leivo		X	X		100.00	67	57	87	71	78	67	64	80	37	61	71	56	63	59	59	0	80	64	0
6	Tomas Nosek	X	X			100.00	76	44	91	69	79	63	85	62	63	61	62	73	25	54	55	0	80	64	0
7	Dmytro Timashov		X			100.00	72	69	79	67	69	80	85	63	50	63	58	65	55	52	52	0	73	63	0
8	Teddy Blueger	X				100.00	84	67	84	68	69	59	57	60	52	62	72	81	25	46	46	0	65	63	0
9	Justin Kirkland		X			100.00	72	70	77	64	70	80	87	54	50	56	48	61	46	45	45	0	50	58	0
10	Maxim Letunov (R)	X				100.00	77	71	90	62	71	62	63	58	73	53	58	64	55	44	44	0	73	58	0
11	Adam Clendening				X	100.00	63	71	43	67	71	62	63	61	25	63	42	61	40	55	55	0	77	59	0
Scratches
1	Brendan Gaunce	X	X			87.48	78	79	74	71	79	67	68	65	80	59	63	70	60	60	60	0	59	64	0
2	Justin Bailey			X		97.67	71	44	93	75	79	43	74	56	25	59	55	62	25	52	52	0	60	59	0
3	JC Lipon			X		100.00	60	67	44	65	67	76	81	58	50	53	57	56	54	47	47	0	56	57	0
4	Nikita Korostelev			X		100.00	79	72	95	65	72	66	69	54	50	56	47	64	45	44	44	0	20	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	20	57	0
6	Graham Knott	X	X			100.00	77	73	87	62	73	73	80	50	63	47	46	64	44	50	50	0	20	56	0
7	Jens Looke		X	X		100.00	74	66	92	65	66	71	76	52	50	46	53	62	50	47	47	0	20	56	0
8	Justin Auger			X		100.00	86	87	84	64	87	57	59	50	50	38	57	67	54	45	45	0	20	56	0

	TEAM AVERAGE					99.22	74	66	83	68	74	67	73	61	54	57	58	65	48	52	52	0	55	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`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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	98.00	62	91	87	81	56	68	60	66	62	62	95	65	67	0	79	67	0
2	Oscar Dansk	100.00	60	61	76	79	60	62	59	66	62	61	30	44	44	0	79	61	0
Scratches
1	Michal Neuvirth	100.00	57	50	63	77	61	58	50	59	57	56	30	64	65	0	20	59	0

	TEAM AVERAGE	99.33	60	67	75	79	59	63	56	64	60	60	52	58	59	0	59	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	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Brendan Gaunce	Bengals (TBS)	C/LW	66	28	42	70	38	46	106	162	192	43	125	14.58%	30	885	13.41	0	3	3	16	75	0	0	0	0	18	5	1	65.01%	726	0	1	1.58	0	1	7	0	5
2	Matt Puempel	Bengals (TBS)	LW/RW	66	30	38	68	18	62	177	141	230	61	171	13.04%	39	1232	18.67	9	17	26	65	272	0	1	1	1	159	4	0	56.38%	94	1	0	1.10	1	5	4	8	4
3	James Neal	Bengals (TBS)	LW/RW	66	25	38	63	13	28	80	116	203	57	144	12.32%	54	1325	20.09	10	14	24	69	268	0	0	0	1	230	3	2	50.88%	114	0	0	0.95	3	5	3	5	3
4	Chase De Leo	Bengals (TBS)	C	62	24	25	49	21	36	54	142	155	38	120	15.48%	58	1004	16.20	0	0	0	0	0	0	0	0	0	0	2	1	66.00%	350	0	2	0.98	0	0	4	4	3
5	Teddy Blueger	Bengals (TBS)	C	43	14	22	36	10	64	77	47	94	30	50	14.89%	36	661	15.38	12	7	19	69	141	0	0	0	0	0	1	2	100.00%	2	0	0	1.09	0	0	2	1	4
6	Justin Bailey	Bengals (TBS)	RW	65	19	14	33	-26	48	161	108	152	37	137	12.50%	50	1082	16.65	4	6	10	45	254	0	0	0	0	0	5	1	32.65%	49	0	1	0.61	0	0	3	4	2
7	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	0.94	0	0	2	3	1
8	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	0	1.83	0	0	2	3	2
9	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	0.96	1	2	2	2	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	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	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	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	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	0.00	0	0	0	0	0
Team Total or Average				505	187	248	435	109	448	892	932	1296	343	963	14.43%	361	8719	17.27	49	68	117	349	1412	1	2	3	4	674	25	10	57.33%	2175	1	4	1.00	6	14	31	30	28

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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

#	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	Martin Jones	Bengals (TBS)	66	28	30	7	0.885	2.86	3924	12	2	187	1633	9	2	0.650	20	66	0	1	1	4
2	Oscar Dansk	Bengals (TBS)	2	1	0	0	0.960	0.86	70	0	0	1	25	0	0	0.800	5	0	66	0	0	0
Team Total or Average			68	29	30	7	0.887	2.82	3994	12	2	188	1658	9	2	0.680	25	66	66	1	1	4

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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$	126,389$	700,000$	126,389$	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$	126,389$	700,000$	126,389$	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$	138,125$	765,000$	138,125$	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$	161,146$	892,500$	161,146$	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$	131,806$	730,000$	131,806$	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$	134,063$	742,500$	134,063$	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$	126,389$	700,000$	126,389$	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$	902,778$	5,000,000$	902,778$	3,000,000$	541,667$	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$	147,604$	817,500$	147,604$	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$	167,014$	925,000$	167,014$	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$	126,389$	700,000$	126,389$	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$	126,389$	700,000$	126,389$	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$	134,063$	742,500$	134,063$	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$	541,667$	3,000,000$	541,667$	1,000,000$	180,556$	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$	130,903$	725,000$	130,903$	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$	126,389$	700,000$	126,389$	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$	451,389$	2,500,000$	451,389$	500,000$	90,278$	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$	126,389$	700,000$	126,389$	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$	126,389$	700,000$	126,389$	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$	126,389$	700,000$	126,389$	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$	134,063$	742,500$	134,063$	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$	173,785$	962,500$	173,785$	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				30	1	2	2
3				25	1	2	2
4				15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			30	1	2	2
2			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				45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			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
, ,	,

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
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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

	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	3	2	0	0	0	0	1	0	12	5	7	2	1	0	0	0	0	1	0	8	3	5	1	1	0	0	0	0	0	0	4	2	2	6	1.000	12	16	28	0	0	72	73	47	12	111	513	508	462	44	60	13	22	82	22	4	18.18%	11	4	63.64%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
2	Aeros	3	0	2	0	0	1	0	0	5	11	-6	1	0	0	0	0	1	0	0	3	4	-1	2	0	2	0	0	0	0	0	2	7	-5	1	0.167	5	8	13	1	0	72	73	47	12	51	513	508	462	44	80	19	42	47	14	1	7.14%	21	5	76.19%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
3	Blazers	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	2	2	4	0	0	72	73	47	12	33	513	508	462	44	60	22	16	40	6	1	16.67%	8	1	87.50%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
4	Boys	2	1	0	0	0	0	0	1	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	1	6	5	1	3	0.750	6	8	14	0	0	72	73	47	12	36	513	508	462	44	46	16	32	46	18	2	11.11%	16	2	87.50%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
5	Broncos	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	5	9	0	0	72	73	47	12	36	513	508	462	44	62	12	12	23	15	0	0.00%	6	2	66.67%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
6	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	72	73	47	12	86	513	508	462	44	86	23	56	81	23	6	26.09%	28	4	85.71%	1	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
7	Cobras	3	1	2	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	2	1	1	2	0	2	0	0	0	0	0	5	8	-3	2	0.333	7	11	18	0	0	72	73	47	12	92	513	508	462	44	60	13	24	59	25	2	8.00%	12	3	75.00%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
8	Devil Dogs	2	1	1	0	0	0	0	0	4	4	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	4	4	0	2	0.500	4	6	10	0	0	72	73	47	12	43	513	508	462	44	37	18	12	35	11	1	9.09%	6	1	83.33%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
9	Gamblers	3	1	2	0	0	0	0	0	11	8	3	2	0	2	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	8	2	6	2	0.333	11	19	30	0	0	72	73	47	12	59	513	508	462	44	54	26	28	46	19	2	10.53%	14	3	78.57%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
10	Gators	2	0	1	0	0	1	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	6	9	15	0	0	72	73	47	12	38	513	508	462	44	71	20	26	43	14	2	14.29%	13	4	69.23%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
11	Indians	3	0	3	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	5	-3	0	0.000	4	4	8	0	0	72	73	47	12	37	513	508	462	44	79	24	12	23	11	0	0.00%	6	1	83.33%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
12	Jets	3	1	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	5	6	-1	2	0.333	7	9	16	0	0	72	73	47	12	60	513	508	462	44	82	25	32	43	11	3	27.27%	16	2	87.50%	1	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
13	Liberty	3	2	0	0	0	1	0	0	14	9	5	2	1	0	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	4	0	4	5	0.833	14	20	34	0	1	72	73	47	12	102	513	508	462	44	92	38	36	67	11	0	0.00%	18	1	94.44%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
14	Mystery	4	0	1	0	3	0	0	0	10	9	1	2	0	0	0	2	0	0	0	7	5	2	2	0	1	0	1	0	0	0	3	4	-1	6	0.750	10	17	27	0	0	72	73	47	12	72	513	508	462	44	101	40	40	76	29	1	3.45%	20	2	90.00%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
15	Oil Kings	4	3	0	0	1	0	0	0	17	7	10	3	3	0	0	0	0	0	0	15	6	9	1	0	0	0	1	0	0	0	2	1	1	8	1.000	17	25	42	0	0	72	73	47	12	82	513	508	462	44	73	27	36	58	20	3	15.00%	18	3	83.33%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
16	Olympic	4	2	1	0	1	0	0	0	19	12	7	2	1	1	0	0	0	0	0	12	8	4	2	1	0	0	1	0	0	0	7	4	3	6	0.750	19	31	50	0	0	72	73	47	12	134	513	508	462	44	101	27	18	78	15	5	33.33%	9	0	100.00%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
17	Pitbulls	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	72	73	47	12	50	513	508	462	44	59	15	6	30	15	1	6.67%	3	0	100.00%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
18	Redhawks	4	0	3	0	0	0	0	1	4	14	-10	2	0	2	0	0	0	0	0	2	9	-7	2	0	1	0	0	0	0	1	2	5	-3	1	0.125	4	7	11	0	0	72	73	47	12	66	513	508	462	44	98	31	38	54	19	1	5.26%	19	4	78.95%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
19	Rhinos	3	1	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	10	16	26	1	0	72	73	47	12	66	513	508	462	44	69	17	16	49	17	4	23.53%	8	3	62.50%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
20	Rivercats	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	7	11	0	0	72	73	47	12	21	513	508	462	44	58	17	6	19	1	0	0.00%	3	1	66.67%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
21	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	72	73	47	12	115	513	508	462	44	82	21	36	77	28	7	25.00%	18	1	94.44%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
22	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	72	73	47	12	65	513	508	462	44	56	21	42	60	9	4	44.44%	21	2	90.48%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
	Total	66	22	30	0	5	4	2	3	199	193	6	32	12	14	0	2	2	1	1	107	95	12	34	10	16	0	3	2	1	2	92	98	-6	65	0.492	199	306	505	2	2	72	73	47	12	1502	513	508	462	44	1660	504	620	1169	366	51	13.93%	310	50	83.87%	2	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
24	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	72	73	47	12	47	513	508	462	44	94	19	32	33	13	1	7.69%	16	1	93.75%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
	_Since Last GM Reset	66	22	30	0	5	4	2	3	199	193	6	32	12	14	0	2	2	1	1	107	95	12	34	10	16	0	3	2	1	2	92	98	-6	65	0.492	199	306	505	2	2	72	73	47	12	1502	513	508	462	44	1660	504	620	1169	366	51	13.93%	310	50	83.87%	2	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
	_Vs Conference	66	22	30	0	5	4	2	3	199	193	6	32	12	14	0	2	2	1	1	107	95	12	34	10	16	0	3	2	1	2	92	98	-6	65	0.492	199	306	505	2	2	72	73	47	12	1502	513	508	462	44	1660	504	620	1169	366	51	13.93%	310	50	83.87%	2	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
	_Vs Division	23	7	10	0	4	0	0	2	68	61	7	13	3	7	0	2	0	0	1	39	41	-2	10	4	3	0	2	0	0	1	29	20	9	24	0.522	68	110	178	0	1	72	73	47	12	515	513	508	462	44	558	179	188	394	131	17	12.98%	94	13	86.17%	0	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
66	65	L1	199	306	505	1502	1660	504	620	1169	2	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
66	22	30	5	4	2	3	199	193

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	12	14	2	2	1	1	107	95

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	10	16	3	2	1	2	92	98

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
366	51	13.93%	310	50	83.87%	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
513	508	462	44	72	73	47	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
714	1733	41.20%	762	1956	38.96%	420	936	44.87%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1428	1025	1845	469	727	337

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

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	28	9
Attendance	61,790	30,598
Attendance PCT	96.55%	95.62%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
7	2887 - 96.24%	62,672$	2,005,502$	3000	90

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,062,472$	996,600$	996,600$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
6,921$	816,678$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
438,704$	26	9,004$	234,104$

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	66	22	30	0	5	4	2	3	199	193	6	32	12	14	0	2	2	1	1	107	95	12	34	10	16	0	3	2	1	2	92	98	-6	65	199	306	505	2	2	72	73	47	12	1502	513	508	462	44	1660	504	620	1169	366	51	13.93%	310	50	83.87%	2	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337
Total Regular Season	66	22	30	0	5	4	2	3	199	193	6	32	12	14	0	2	2	1	1	107	95	12	34	10	16	0	3	2	1	2	92	98	-6	65	199	306	505	2	2	72	73	47	12	1502	513	508	462	44	1660	504	620	1169	366	51	13.93%	310	50	83.87%	2	714	1733	41.20%	762	1956	38.96%	420	936	44.87%	1428	1025	1845	469	727	337