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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	Kyle Clifford		X			100.00	74	78	65	77	78	59	60	61	50	54	56	72	53	77	81	61	40	63	0
2	Bobby McMann (R)		X	X		100.00	78	75	84	60	75	67	68	66	50	54	74	67	70	44	44	69	40	62	0
3	Alex Steeves (R)		X	X		100.00	73	67	86	66	67	77	81	63	50	62	60	63	57	44	44	65	40	61	0
4	Will Bitten (R)	X		X		100.00	67	60	83	63	60	79	84	62	78	58	62	60	59	44	44	64	40	60	0
5	Nick Abruzzese (R)	X	X			100.00	71	62	91	65	62	68	70	62	78	61	58	62	55	45	45	63	40	60	0
6	Semyon Der-Arguchintsev (R)	X				100.00	67	57	90	68	57	66	67	63	79	64	59	60	56	44	44	63	40	60	0
7	Garrett Pilon (R)	X				100.00	69	62	86	68	62	71	74	59	74	56	58	60	55	44	44	62	40	59	0
8	John Stevens	X				100.00	74	69	86	63	69	69	72	57	71	56	54	63	51	46	46	60	40	59	0
9	Brett Sutter	X	X			100.00	75	73	79	63	73	68	71	57	71	50	58	65	55	54	54	60	40	59	0
10	Mason Jobst	X	X			100.00	71	64	88	67	64	59	59	62	78	59	60	62	57	44	44	62	40	59	0
11	Nolan Stevens	X	X			100.00	75	70	88	65	70	58	57	62	78	59	61	64	58	44	44	63	40	59	0
12	Henry Bowlby (R)	X				100.00	74	72	80	62	72	76	82	55	69	48	58	62	55	44	44	61	40	58	0
13	Zach Senyshyn (R)			X		100.00	78	75	86	63	75	75	81	53	50	47	54	64	51	45	45	59	40	58	0
14	Austin Rueschhoff (R)			X		100.00	86	87	83	59	87	68	72	53	50	55	47	67	45	44	44	58	40	58	0
15	Calle Rosen				X	100.00	61	41	94	70	69	69	71	63	25	54	60	74	25	60	61	66	40	64	0
16	Ryan Shea (R)				X	100.00	71	66	84	63	66	77	84	51	25	46	42	59	40	44	44	55	40	59	0
17	Jack Ahcan (R)				X	100.00	71	64	88	66	64	71	76	53	25	50	41	60	39	44	44	55	40	58	0
18	William Villeneuve (R)				X	100.00	71	66	82	63	66	72	78	52	25	49	41	60	39	44	44	54	40	58	0
19	Mikko Kokkonen (R)				X	100.00	74	72	79	67	72	60	64	46	25	37	39	60	37	44	44	51	40	56	0
Scratches
1	Jayce Hawryluk		X	X		100.00	68	69	65	65	69	55	55	58	50	53	56	63	53	56	56	59	40	57	0
2	Max Ellis (R)			X		100.00	65	55	87	66	55	61	63	56	50	49	58	58	55	44	44	59	40	56	0
3	Filip Kral (R)				X	100.00	76	69	91	59	69	58	61	47	25	37	42	61	40	44	44	52	40	55	0

	TEAM AVERAGE					100.00	72	67	84	65	68	67	70	57	53	53	54	63	50	47	48	60	40	59

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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.
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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	Keith Petruzzelli (R)	100.00	55	41	51	83	61	56	53	59	58	57	30	44	44	55	40	56	0
2	Christopher Gibson	100.00	47	43	54	79	48	51	50	53	53	52	95	45	45	50	40	52	0
Scratches
1	Dylan Garand (R)	100.00	49	53	66	62	48	53	50	55	53	52	30	44	44	51	40	52	0

	TEAM AVERAGE	100.00	50	46	57	75	52	53	51	56	55	54	52	44	44	52	40	53

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Bobby McMann	Marlies (TOR)	LW/RW	14	30	16	46	-10	24	10	40	21	65	27	49	46.15%	14	305	21.80	9	10	19	14	58	4	0	4	6	66	0	37.50%	16	34	16	6	3.01	1	0	1	3	1	1
2	Will Bitten	Marlies (TOR)	C/RW	14	11	27	38	-15	8	0	18	14	48	19	26	22.92%	6	249	17.80	4	10	14	14	59	1	0	1	1	12	1	52.37%	317	11	5	0	3.05	0	0	0	0	1	2
3	Kyle Clifford	Marlies (TOR)	LW	14	9	22	31	-16	122	80	25	25	47	18	36	19.15%	11	292	20.88	6	9	15	17	47	0	1	1	3	43	0	48.86%	88	23	13	0	2.12	1	6	9	1	0	0
4	Calle Rosen	Marlies (TOR)	D	14	11	14	25	-16	0	0	5	45	63	28	26	17.46%	50	452	32.30	3	5	8	9	59	0	1	1	2	60	1	0.00%	0	25	33	1	1.11	0	0	0	0	1	1
5	Alex Steeves	Marlies (TOR)	LW/RW	14	8	9	17	-26	6	0	20	17	72	27	55	11.11%	7	270	19.31	5	2	7	16	46	0	1	1	0	23	0	41.18%	17	36	6	1	1.26	0	0	0	0	0	1
6	Semyon Der-Arguchintsev	Marlies (TOR)	C	14	7	10	17	-1	2	0	9	14	30	14	19	23.33%	1	176	12.62	0	0	0	0	0	0	0	0	0	0	0	48.53%	136	20	2	0	1.92	0	0	0	0	0	1
7	Mason Jobst	Marlies (TOR)	C/LW	14	7	9	16	-1	4	0	15	7	40	11	20	17.50%	5	177	12.66	0	0	0	0	0	0	0	0	0	0	1	16.67%	6	25	3	0	1.81	0	0	0	0	0	0
8	Nick Abruzzese	Marlies (TOR)	C/LW	14	6	7	13	-26	6	0	18	12	51	28	34	11.76%	1	241	17.26	0	4	4	7	46	0	0	0	0	1	1	56.05%	223	26	9	0	1.08	0	0	0	0	1	0
9	Ryan Shea	Marlies (TOR)	D	14	0	12	12	-15	8	0	32	20	15	4	4	0.00%	31	392	28.05	0	3	3	5	60	0	2	2	0	50	0	0.00%	0	1	6	0	0.61	0	0	0	0	0	0
10	Nolan Stevens	Marlies (TOR)	C/LW	14	2	4	6	-5	0	0	5	5	19	5	6	10.53%	3	77	5.54	0	0	0	0	0	0	0	0	0	0	0	46.51%	43	8	3	0	1.55	0	0	0	0	0	0
11	Garrett Pilon	Marlies (TOR)	C	14	1	4	5	-5	2	0	8	6	9	2	5	11.11%	1	106	7.62	1	1	2	2	16	0	0	0	0	3	0	100.00%	4	2	1	0	0.94	0	0	0	0	0	0
12	Zach Senyshyn	Marlies (TOR)	RW	14	1	3	4	-21	79	65	31	17	21	7	13	4.76%	2	215	15.36	1	1	2	3	40	0	0	0	0	0	0	20.00%	15	1	4	0	0.37	4	8	1	0	0	0
13	William Villeneuve	Marlies (TOR)	D	14	0	4	4	-28	22	0	15	26	14	4	7	0.00%	23	361	25.79	0	2	2	5	44	0	0	0	0	31	0	0.00%	0	2	16	0	0.22	0	0	0	0	0	0
14	Austin Rueschhoff	Marlies (TOR)	RW	14	0	4	4	-1	75	45	25	11	10	1	6	0.00%	14	156	11.20	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	1	5	0	0.51	3	3	3	0	0	0
15	Henry Bowlby	Marlies (TOR)	C	14	0	2	2	1	0	0	2	3	0	0	0	0.00%	3	45	3.26	0	0	0	0	0	0	2	2	0	39	0	39.47%	38	0	2	0	0.88	0	0	0	0	0	0
16	Jack Ahcan	Marlies (TOR)	D	14	0	1	1	-22	0	0	12	20	11	6	2	0.00%	17	321	22.98	0	0	0	2	44	0	0	0	0	45	0	0.00%	0	1	12	0	0.06	0	0	0	0	0	0
17	Mikko Kokkonen	Marlies (TOR)	D	14	0	1	1	-5	10	0	10	5	5	4	2	0.00%	7	155	11.10	0	0	0	0	4	0	0	0	0	2	0	0.00%	0	1	9	0	0.13	0	0	0	0	0	0
18	Brett Sutter	Marlies (TOR)	C/LW	14	0	1	1	-5	15	5	6	10	8	2	5	0.00%	1	80	5.74	0	0	0	0	0	0	0	0	0	0	0	60.00%	5	5	1	0	0.25	0	1	0	0	0	0
19	John Stevens	Marlies (TOR)	C	14	0	0	0	-3	0	0	0	2	0	1	2	0.00%	0	22	1.64	0	0	0	0	3	0	0	0	0	0	0	100.00%	1	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				266	93	150	243	-220	383	205	296	280	528	208	317	17.61%	197	4100	15.42	29	47	76	94	532	5	7	12	12	381	4	50.55%	912	222	146	8	1.19	9	18	14	4	4	6

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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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S2
1	Keith Petruzzelli	Marlies (TOR)	14	4	1	0.800	7.70	756	97	484	280	14	0	1
2	Christopher Gibson	Marlies (TOR)	9	0	9	0.265	26.02	83	36	49	10	0	14	0
Team Total or Average			23	4	10	0.750	9.51	839	133	533	290	14	14	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	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
Alex Steeves	LW/RW	23	1999-12-10	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Farm Only	834,167$	0$	0$	No	Link
Austin Rueschhoff	RW	26	1997-09-07	Yes	229 Lbs	6 ft7	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Bobby McMann	LW/RW	27	1996-06-15	Yes	205 Lbs	6 ft1	No	No	No	2	RFA	Farm Only	762,500$	0$	0$	No	Link
Brett Sutter	C/LW	36	1987-06-02	No	200 Lbs	6 ft0	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Calle Rosen	D	29	1994-02-01	No	186 Lbs	6 ft1	No	No	No	2	UFA	Farm Only	762,500$	0$	0$	No	Link
Christopher Gibson	G	30	1992-12-27	No	207 Lbs	6 ft2	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Dylan Garand	G	21	2002-07-06	Yes	173 Lbs	6 ft0	No	No	No	3	ELC	Farm Only	902,500$	0$	0$	No	Link
Filip Kral	D	23	1999-10-20	Yes	185 Lbs	6 ft1	No	No	No	1	RFA	Farm Only	810,000$	0$	0$	No	Link
Garrett Pilon	C	25	1998-04-13	Yes	174 Lbs	5 ft10	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Henry Bowlby	C	26	1997-02-26	Yes	195 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jack Ahcan	D	26	1997-05-18	Yes	185 Lbs	5 ft8	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jayce Hawryluk	LW/RW	27	1996-01-01	No	196 Lbs	5 ft10	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
John Stevens	C	29	1994-04-17	No	184 Lbs	6 ft2	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Keith Petruzzelli	G	24	1999-02-09	Yes	190 Lbs	6 ft6	No	No	No	2	RFA	Farm Only	817,500$	0$	0$	No	Link
Kyle Clifford	LW	32	1991-01-13	No	211 Lbs	6 ft2	No	No	No	2	UFA	Farm Only	762,500$	0$	0$	No	Link
Mason Jobst	C/LW	29	1994-02-17	No	185 Lbs	5 ft8	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Max Ellis	RW	23	2000-01-18	Yes	150 Lbs	5 ft9	No	No	No	2	RFA	Farm Only	838,750$	0$	0$	No	Link
Mikko Kokkonen	D	22	2001-01-18	Yes	200 Lbs	5 ft11	No	No	No	1	ELC	Farm Only		0$	0$	No	Link
Nick Abruzzese	C/LW	24	1999-04-06	Yes	174 Lbs	5 ft10	No	No	No	1	RFA	Farm Only	850,000$	0$	0$	No	Link
Nolan Stevens	C/LW	27	1996-07-22	No	183 Lbs	6 ft3	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Ryan Shea	D	26	1997-02-11	Yes	176 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Semyon Der-Arguchintsev	C	23	2000-09-15	Yes	159 Lbs	5 ft10	No	No	No	1	RFA	Farm Only	766,667$	0$	0$	No	Link
Will Bitten	C/RW	25	1998-07-10	Yes	168 Lbs	5 ft10	No	No	No	2	RFA	Farm Only	762,500$	0$	0$	No	Link
William Villeneuve	D	21	2002-03-20	Yes	175 Lbs	6 ft1	No	No	No	3	ELC	Farm Only	817,778$	0$	0$	No	Link
Zach Senyshyn	RW	26	1997-03-30	Yes	205 Lbs	6 ft1	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	26.00	187 Lbs	6 ft0	1.44	467,494$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kyle Clifford	Will Bitten	Bobby McMann	40	1	2	2
2	Alex Steeves	Nick Abruzzese	Zach Senyshyn	30	1	2	2
3	Mason Jobst	Semyon Der-Arguchintsev	Austin Rueschhoff	20	1	2	2
4	Brett Sutter	Nolan Stevens	Kyle Clifford	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Ryan Shea	40	1	2	2
2	William Villeneuve	Jack Ahcan	30	1	2	2
3	Mikko Kokkonen	Calle Rosen	20	1	2	2
4	Ryan Shea	William Villeneuve	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kyle Clifford	Will Bitten	Bobby McMann	60	1	2	2
2	Alex Steeves	Nick Abruzzese	Zach Senyshyn	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Ryan Shea	60	1	2	2
2	William Villeneuve	Jack Ahcan	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kyle Clifford	Bobby McMann	60	1	2	2
2	Alex Steeves	Will Bitten	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Ryan Shea	60	1	2	2
2	William Villeneuve	Jack Ahcan	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Clifford	60	1	2	2	Calle Rosen	Ryan Shea	60	1	2	2
2	Bobby McMann	40	1	2	2	William Villeneuve	Jack Ahcan	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kyle Clifford	Bobby McMann	60	1	2	2
2	Alex Steeves	Will Bitten	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calle Rosen	Ryan Shea	60	1	2	2
2	William Villeneuve	Jack Ahcan	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kyle Clifford	Will Bitten	Bobby McMann	Calle Rosen	Ryan Shea

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kyle Clifford	Will Bitten	Bobby McMann	Calle Rosen	Ryan Shea

Extra Forwards
Normal	PowerPlay	Penalty Kill
Garrett Pilon, John Stevens, Henry Bowlby	Garrett Pilon, John Stevens	Henry Bowlby

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mikko Kokkonen, Jack Ahcan, Calle Rosen	Mikko Kokkonen	Jack Ahcan, Calle Rosen

Penalty Shots
Kyle Clifford, Bobby McMann, Alex Steeves, Will Bitten, Nick Abruzzese

Goalie
#1 : Keith Petruzzelli, #2 : Christopher Gibson

Custom OT Lines Forwards
Kyle Clifford, Bobby McMann, Alex Steeves, Will Bitten, Nick Abruzzese, Semyon Der-Arguchintsev, Semyon Der-Arguchintsev, Mason Jobst, Nolan Stevens, Garrett Pilon, John Stevens

Custom OT Lines Defensemen
Calle Rosen, Ryan Shea, William Villeneuve, Jack Ahcan, Mikko Kokkonen

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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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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
14	8	L6	93	150	243	528	533	197	383	296	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	4	10	0	0	0	0	93	133

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	6	0	0	0	0	44	67

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	49	66

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	7	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
77	29	37.66%	69	26	62.32%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
201	183	144	0	42	29	22	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
160	311	51.45%	130	265	49.06%	171	336	50.89%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
314	201	312	112	213	105

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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

Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
2 - 2023-09-29	11	Crunch	12	Marlies	7	L	BoxScore
4 - 2023-10-01	32	Marlies	7	Americans	11	L	BoxScore
5 - 2023-10-02	42	Rocket	11	Marlies	5	L	BoxScore
7 - 2023-10-04	64	Bruins	1	Marlies	5	W	BoxScore
8 - 2023-10-05	77	Marlies	6	Checkers	11	L	BoxScore
10 - 2023-10-07	94	Marlies	11	Crunch	8	W	BoxScore
12 - 2023-10-09	109	Marlies	4	Griffins	3	W	BoxScore
13 - 2023-10-10	115	Marlies	10	Bruins	6	W	BoxScore
14 - 2023-10-11	127	Americans	9	Marlies	8	L	BoxScore
17 - 2023-10-14	153	Griffins	12	Marlies	7	L	BoxScore
19 - 2023-10-16	166	Marlies	4	Senators	15	L	BoxScore
20 - 2023-10-17	170	Marlies	7	Rocket	12	L	BoxScore
22 - 2023-10-19	192	Checkers	11	Marlies	6	L	BoxScore
25 - 2023-10-22	213	Senators	11	Marlies	6	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,168,737$	1,168,737$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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	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
6	14	4	10	0	0	0	0	0	93	133	-40	7	1	6	0	0	0	0	0	44	67	-23	7	3	4	0	0	0	0	0	49	66	-17	8	93	150	243	0	0	42	29	22	0	528	201	183	144	0	533	197	383	296	77	29	37.66%	69	26	62.32%	5	160	311	51.45%	130	265	49.06%	171	336	50.89%	314	201	312	112	213	105
Total Regular Season	14	4	10	0	0	0	0	0	93	133	-40	7	1	6	0	0	0	0	0	44	67	-23	7	3	4	0	0	0	0	0	49	66	-17	8	93	150	243	0	0	42	29	22	0	528	201	183	144	0	533	197	383	296	77	29	37.66%	69	26	62.32%	5	160	311	51.45%	130	265	49.06%	171	336	50.89%	314	201	312	112	213	105