PSL - Pro Simulation League

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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
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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	Juuso Parssinen	X	X			100.00	76	40	88	66	85	73	75	65	72	62	63	61	66	67	65	47	75	64	0
2	Jaroslav Chmelar (R)			X		100.00	80	43	78	65	92	79	87	58	55	60	59	64	57	63	65	55	75	63	0
3	Patrick Giles			X		100.00	79	41	86	59	93	78	85	58	55	54	57	62	56	66	68	42	75	62	0
4	Shane Lachance		X			100.00	73	39	92	61	85	81	84	58	67	59	60	62	59	63	65	49	75	62	0
5	Kai Uchacz (R)	X				100.00	73	41	72	56	82	79	86	57	62	59	58	63	55	63	65	43	75	61	0
6	Tyson Kozak (R)	X				100.00	70	39	87	63	69	77	78	57	73	56	59	65	58	64	66	48	75	61	0
7	Olivier Nadeau (R)			X		100.00	72	41	87	61	81	73	70	58	64	62	55	60	57	63	65	62	75	61	0
8	Jared Davidson	X				100.00	67	39	73	60	69	81	85	58	61	57	60	57	62	64	66	56	75	60	0
9	Hunter McKown	X				100.00	69	40	83	59	78	77	85	56	61	58	57	60	55	64	66	43	75	60	0
10	Yegor Sidorov			X		100.00	62	38	87	60	71	88	84	59	61	58	60	57	59	62	64	66	75	60	0
11	Eriks Mateiko (R)	X				100.00	82	42	81	57	91	71	69	55	60	56	53	59	52	61	63	64	75	60	0
12	Parker Bell		X			100.00	76	41	81	55	85	71	81	53	56	52	54	57	55	63	65	49	75	59	0
13	Yan Kuznetsov				X	100.00	76	40	84	65	88	87	86	62	30	63	58	72	50	64	66	69	75	64	0
14	Frederic Brunet				X	100.00	72	39	86	60	83	81	85	58	30	61	56	63	48	62	65	57	75	62	0
15	Luke Prokop				X	100.00	88	51	89	56	97	66	73	54	30	55	53	61	46	64	66	63	75	61	0
16	Taige Harding (R)				X	100.00	90	48	55	59	99	64	77	56	30	58	52	62	45	64	66	62	75	61	0
17	David Gucciardi (R)				X	100.00	65	41	70	57	74	71	79	58	30	53	61	56	52	64	66	48	75	59	0
18	Konnor Smith (R)				X	100.00	85	43	67	53	94	61	62	52	30	51	50	59	45	62	64	63	75	57	0
Scratches
1	Nathan Legare			X		100.00	76	41	66	58	74	80	86	56	51	53	57	59	58	65	67	63	75	60	0
2	Matthew Maggio			X		100.00	60	38	84	59	69	87	83	56	61	58	57	55	59	64	66	54	75	59	0
3	Xavier Parent	X	X			100.00	66	38	70	58	62	82	84	57	60	58	59	55	57	65	67	42	75	59	0
4	Josh Bloom (R)		X			100.00	68	37	95	56	77	66	63	55	62	59	52	57	54	63	65	62	75	59	0
5	Oasiz Wiesblatt (R)	X				100.00	63	45	55	57	63	75	85	56	60	59	58	53	56	62	64	45	75	58	0
6	Reece Newkirk	X				100.00	61	42	69	56	70	64	66	55	59	58	52	54	53	65	67	54	75	57	0
7	Landon Sim (R)			X		100.00	55	47	52	58	64	71	63	56	50	52	59	53	57	62	64	49	75	56	0
8	Mathias Laferriere			X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	50	75	42	0
9	Travis Barron		X			100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	50	75	42	0
10	Chase Pietila (R)				X	100.00	69	48	65	55	78	65	85	54	30	53	51	56	45	62	64	61	75	57	0

	TEAM AVERAGE					100.00	70	42	74	57	77	72	76	56	51	56	55	58	53	62	64	54	75	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.
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	Nikke Kokko	100.00	77	85	81	80	76	75	77	76	75	77	76	62	67	70	75	65	0
2	Arsenii Sergeev (R)	100.00	76	82	78	81	75	74	76	75	74	76	75	64	71	58	75	65	0
Scratches
1	Jakub Malek (R)	100.00	75	83	79	80	74	73	75	74	73	75	74	64	71	60	75	64	0
2	Luke Cavallin (R)	100.00	69	73	69	80	68	67	69	68	67	69	68	66	73	42	75	61	0

	TEAM AVERAGE	100.00	74	81	77	80	73	72	74	73	72	74	73	64	71	58	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dominique Ducharme	64	73	74	72	79	74	70	CAN	53	1	900,000$

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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	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Jaroslav Chmelar	Roadrunners (UTA)	RW	10	6	7	13	3	8	19	19	42	10	34	14.29%	3	231	23.11	0	2	2	7	25	0	32	0	1	57.89%	19	1.13	0	1	0
2	Olivier Nadeau	Roadrunners (UTA)	RW	10	8	5	13	6	2	12	18	30	16	29	26.67%	4	173	17.38	0	1	1	0	10	0	9	0	0	63.64%	11	1.50	3	0	1
3	Kai Uchacz	Roadrunners (UTA)	C	10	3	8	11	-1	0	13	34	41	19	23	7.32%	2	169	16.98	0	0	0	1	11	0	3	2	0	59.65%	228	1.30	0	2	1
4	Yan Kuznetsov	Roadrunners (UTA)	D	10	4	7	11	3	10	32	21	20	9	21	20.00%	20	254	25.45	1	1	2	10	26	0	26	0	0	0.00%	0	0.86	1	1	0
5	Taige Harding	Roadrunners (UTA)	D	10	2	8	10	0	20	33	11	18	5	4	11.11%	16	193	19.37	2	0	2	9	22	0	17	0	0	0.00%	0	1.03	1	1	0
6	Juuso Parssinen	Roadrunners (UTA)	C/LW	9	0	9	9	5	2	14	40	43	9	37	0.00%	4	221	24.59	0	2	2	6	23	2	32	0	0	64.33%	328	0.81	0	1	0
7	Patrick Giles	Roadrunners (UTA)	RW	6	6	3	9	-2	0	12	6	18	6	22	33.33%	0	119	20.00	1	0	1	4	13	0	9	0	0	62.50%	8	1.50	2	1	0
8	Tyson Kozak	Roadrunners (UTA)	C	10	3	6	9	5	4	13	30	30	13	27	10.00%	5	168	16.86	1	1	2	1	13	0	1	1	0	58.30%	235	1.07	0	0	0
9	Frederic Brunet	Roadrunners (UTA)	D	10	3	5	8	4	4	25	10	11	8	14	27.27%	17	256	25.60	1	2	3	9	25	0	29	0	0	0.00%	0	0.62	0	0	2
10	David Gucciardi	Roadrunners (UTA)	D	10	0	8	8	5	6	14	5	8	1	5	0.00%	11	143	14.35	0	0	0	0	1	0	5	0	0	0.00%	0	1.11	0	0	1
11	Luke Prokop	Roadrunners (UTA)	D	10	2	5	7	0	0	17	6	11	3	9	18.18%	11	203	20.34	0	1	1	1	22	0	27	0	1	0.00%	0	0.69	0	1	1
12	Yegor Sidorov	Roadrunners (UTA)	RW	10	3	4	7	6	2	4	14	32	13	19	9.38%	3	154	15.42	0	0	0	0	0	0	0	2	1	80.00%	10	0.91	1	0	1
13	Eriks Mateiko	Roadrunners (UTA)	C	10	4	2	6	1	6	17	10	9	3	7	44.44%	1	86	8.67	0	0	0	0	1	0	2	0	0	52.38%	42	1.38	0	1	0
14	Shane Lachance	Roadrunners (UTA)	LW	9	2	3	5	1	2	7	11	30	10	23	6.67%	2	192	21.37	0	0	0	5	22	1	18	1	1	72.00%	25	0.52	0	0	0
15	Xavier Parent	Roadrunners (UTA)	C/LW	3	2	2	4	2	0	11	2	9	2	7	22.22%	1	60	20.00	0	0	0	2	9	0	1	0	0	0.00%	3	1.33	0	1	1
16	Konnor Smith	Roadrunners (UTA)	D	5	2	2	4	3	4	24	2	2	1	0	100.00%	7	76	15.22	0	0	0	0	0	0	5	0	0	0.00%	0	1.05	1	0	0
17	Hunter McKown	Roadrunners (UTA)	C	10	0	2	2	3	0	1	2	6	0	2	0.00%	0	38	3.86	0	0	0	0	1	0	2	0	0	50.00%	8	1.04	0	0	0
18	Parker Bell	Roadrunners (UTA)	LW	6	0	1	1	-1	2	16	4	8	4	12	0.00%	0	108	18.11	0	1	1	2	13	0	0	0	0	33.33%	6	0.18	0	0	0
19	Jared Davidson	Roadrunners (UTA)	C	10	0	0	0	1	0	0	2	1	1	0	0.00%	0	3	0.34	0	0	0	0	1	0	0	0	0	100.00%	4	0.00	0	0	0
20	Matthew Maggio	Roadrunners (UTA)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	2.25	0	0	0	0	0	0	1	0	0	66.67%	3	0.00	0	0	0
21	Chase Pietila	Roadrunners (UTA)	D	3	0	0	0	-3	0	13	1	1	0	1	0.00%	5	45	15.19	0	0	0	0	0	0	5	0	0	0.00%	0	0.00	0	0	0
22	Landon Sim	Roadrunners (UTA)	RW	1	0	0	0	-1	0	0	0	0	0	0	0.00%	0	2	2.07	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
23	Oasiz Wiesblatt	Roadrunners (UTA)	C	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.80	0	0	0	0	0	0	2	0	0	0.00%	1	0.00	0	0	0
Team Total or Average				176	50	87	137	40	72	297	248	370	133	296	13.51%	112	2907	16.52	6	11	17	57	246	3	235	6	4	60.90%	931	0.94	9	10	8

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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	GA	SA	ST	BG	S3
1	Nikke Kokko	Roadrunners (UTA)	6	3	2	1	0.887	4.44	338	25	222	6	4	1
2	Arsenii Sergeev	Roadrunners (UTA)	5	3	1	0	0.906	3.66	262	16	171	4	6	0
Team Total or Average			11	6	3	1	0.896	4.10	600	41	393	10	10	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
Arsenii Sergeev	G	23	2002-12-16	Yes	192 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	866,250$	0$	0$	No	Link / NHL Link
Chase Pietila	D	22	2004-03-03	Yes	186 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
David Gucciardi	D	23	2002-10-09	Yes	185 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Eriks Mateiko	C	20	2005-11-18	Yes	208 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	856,667$	0$	0$	No	Link / NHL Link
Frederic Brunet	D	23	2003-08-21	No	196 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	860,000$	0$	0$	No	Link / NHL Link
Hunter McKown	C	24	2002-08-18	No	205 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jakub Malek	G	24	2002-04-11	Yes	170 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	867,500$	0$	0$	No	Link / NHL Link
Jared Davidson	C	24	2002-07-07	No	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	862,500$	0$	0$	No	Link / NHL Link
Jaroslav Chmelar	RW	23	2003-07-20	Yes	226 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	942,500$	0$	0$	No	Link / NHL Link
Josh Bloom	LW	23	2003-06-08	Yes	182 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	836,667$	0$	0$	No	Link / NHL Link
Juuso Parssinen	C/LW	25	2001-02-01	No	207 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	1,250,000$	0$	0$	No	Link / NHL Link
Kai Uchacz	C	23	2003-06-24	Yes	206 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	920,000$	0$	0$	No	Link / NHL Link
Konnor Smith	D	21	2004-11-06	Yes	209 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	855,000$	0$	0$	No	Link / NHL Link
Landon Sim	RW	22	2004-07-17	Yes	166 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Luke Cavallin	G	25	2001-04-29	Yes	196 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Luke Prokop	D	24	2002-06-05	No	224 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	793,333$	0$	0$	No	Link / NHL Link
Mathias Laferriere	RW	26	2000-06-27	No	188 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	786,667$	0$	0$	No	Link / NHL Link
Matthew Maggio	RW	23	2002-11-25	No	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	870,000$	0$	0$	No	Link / NHL Link
Nathan Legare	RW	25	2001-01-11	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Nikke Kokko	G	22	2004-03-14	No	184 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	891,666$	0$	0$	No	Link / NHL Link
Oasiz Wiesblatt	C	22	2004-04-08	Yes	180 Lbs	5 ft7	No	No	No	2	ELC	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Olivier Nadeau	RW	23	2003-01-15	Yes	204 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	836,667$	0$	0$	No	Link / NHL Link
Parker Bell	LW	22	2003-09-26	No	192 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	857,500$	0$	0$	No	Link / NHL Link
Patrick Giles	RW	26	2000-01-03	No	218 Lbs	6 ft5	Yes	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Reece Newkirk	C	25	2001-02-20	No	178 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	828,333$	0$	0$	No	Link / NHL Link
Shane Lachance	LW	23	2003-08-30	No	195 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Taige Harding	D	24	2002-01-03	Yes	235 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Travis Barron	LW	27	1998-11-17	No	205 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Tyson Kozak	C	23	2002-12-29	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Xavier Parent	C/LW	25	2001-03-23	No	170 Lbs	5 ft8	Yes	No	No	3	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Yan Kuznetsov	D	24	2002-03-09	No	209 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	812,500$	0$	0$	No	Link / NHL Link
Yegor Sidorov	RW	22	2004-06-18	No	184 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	865,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	23.47	195 Lbs	6 ft2	1.84	871,367$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Shane Lachance	Juuso Parssinen	Jaroslav Chmelar	40	1	2	2
2	Parker Bell	Kai Uchacz	Patrick Giles	30	1	2	2
3	Yegor Sidorov	Tyson Kozak	Olivier Nadeau	20	1	2	2
4	Juuso Parssinen	Eriks Mateiko	Yegor Sidorov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yan Kuznetsov	Frederic Brunet	40	1	2	2
2	Luke Prokop	Taige Harding	30	1	2	2
3	David Gucciardi	Konnor Smith	20	1	2	2
4	Yan Kuznetsov	Frederic Brunet	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Shane Lachance	Juuso Parssinen	Jaroslav Chmelar	60	1	2	2
2	Parker Bell	Kai Uchacz	Patrick Giles	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yan Kuznetsov	Frederic Brunet	60	1	2	2
2	Luke Prokop	Taige Harding	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Juuso Parssinen	Jaroslav Chmelar	60	1	2	2
2	Shane Lachance	Patrick Giles	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yan Kuznetsov	Frederic Brunet	60	1	2	2
2	Luke Prokop	Taige Harding	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Juuso Parssinen	60	1	2	2	Yan Kuznetsov	Frederic Brunet	60	1	2	2
2	Jaroslav Chmelar	40	1	2	2	Luke Prokop	Taige Harding	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Juuso Parssinen	Jaroslav Chmelar	60	1	2	2
2	Shane Lachance	Patrick Giles	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yan Kuznetsov	Frederic Brunet	60	1	2	2
2	Luke Prokop	Taige Harding	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Shane Lachance	Juuso Parssinen	Jaroslav Chmelar	Yan Kuznetsov	Frederic Brunet

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Shane Lachance	Juuso Parssinen	Jaroslav Chmelar	Yan Kuznetsov	Frederic Brunet

Extra Forwards
Normal	PowerPlay	Penalty Kill
Hunter McKown, Jared Davidson, Olivier Nadeau	Hunter McKown, Jared Davidson	Olivier Nadeau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
David Gucciardi, Konnor Smith, Luke Prokop	David Gucciardi	Konnor Smith, Luke Prokop

Penalty Shots
Juuso Parssinen, Jaroslav Chmelar, Shane Lachance, Patrick Giles, Olivier Nadeau

Goalie
#1 : Arsenii Sergeev, #2 : Nikke Kokko

Custom OT Lines Forwards
Juuso Parssinen, Jaroslav Chmelar, Shane Lachance, Patrick Giles, Olivier Nadeau, Kai Uchacz, Kai Uchacz, Tyson Kozak, Yegor Sidorov, Eriks Mateiko, Hunter McKown

Custom OT Lines Defensemen
Yan Kuznetsov, Frederic Brunet, Luke Prokop, Taige Harding, David Gucciardi

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	13	W2	50	87	137	371	393	112	72	298	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	3	0	1	0	0	50	41

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	21	16

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	1	0	0	29	25

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
32	6	18.75%	34	6	82.35%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
124	138	108	1	17	19	14	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
217	364	59.62%	249	387	64.34%	101	177	57.06%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
278	203	204	64	119	63

Last Played Games Show or Hide Column

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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")
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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
3 - 2026-09-20	14	IceHogs	4	Roadrunners	5	W		BoxScore
5 - 2026-09-22	24	Roadrunners	3	Monsters	4	L		BoxScore
6 - 2026-09-23	36	Roadrunners	6	Wolf Pack	5	W		BoxScore
8 - 2026-09-25	47	Roadrunners	5	Comets	2	W		BoxScore
10 - 2026-09-27	56	Roadrunners	5	Bruins	2	W		BoxScore
12 - 2026-09-29	74	Roadrunners	4	Americans	5	L		BoxScore
15 - 2026-10-02	102	Marlies	4	Roadrunners	3	L		BoxScore
17 - 2026-10-04	117	Roadrunners	6	Condors	7	L	X	BoxScore
19 - 2026-10-06	133	Condors	4	Roadrunners	7	W		BoxScore
21 - 2026-10-08	140	Penguins	4	Roadrunners	6	W		BoxScore
24 - 2026-10-11	164	Roadrunners	-	Firebirds	-
26 - 2026-10-13	177	Crunch	-	Roadrunners	-
29 - 2026-10-16	195	Wild	-	Roadrunners	-
31 - 2026-10-18	205	Roadrunners	-	Penguins	-
34 - 2026-10-21	229	Roadrunners	-	Phantoms	-
36 - 2026-10-23	244	Roadrunners	-	Marlies	-
38 - 2026-10-25	256	Roadrunners	-	Rocket	-
40 - 2026-10-27	270	Roadrunners	-	Senators	-
44 - 2026-10-31	298	Roadrunners	-	Silver Knights	-
45 - 2026-11-01	308	Thunderbirds	-	Roadrunners	-
47 - 2026-11-03	323	Barracuda	-	Roadrunners	-
49 - 2026-11-05	332	Canucks	-	Roadrunners	-
51 - 2026-11-07	346	Eagles	-	Roadrunners	-
54 - 2026-11-10	370	Gulls	-	Roadrunners	-
56 - 2026-11-12	382	Roadrunners	-	Moose	-
58 - 2026-11-14	396	Roadrunners	-	Wild	-
60 - 2026-11-16	402	Roadrunners	-	Admirals	-
61 - 2026-11-17	424	Roadrunners	-	Stars	-
63 - 2026-11-19	435	Rocket	-	Roadrunners	-
65 - 2026-11-21	447	Moose	-	Roadrunners	-
66 - 2026-11-22	459	Roadrunners	-	Silver Knights	-
68 - 2026-11-24	475	Roadrunners	-	Reign	-
73 - 2026-11-29	509	Thunderbirds	-	Roadrunners	-
75 - 2026-12-01	519	Roadrunners	-	IceHogs	-
77 - 2026-12-03	534	Roadrunners	-	Eagles	-
78 - 2026-12-04	545	Islanders	-	Roadrunners	-
80 - 2026-12-06	558	Wolves	-	Roadrunners	-
82 - 2026-12-08	569	Roadrunners	-	Condors	-
84 - 2026-12-10	588	Roadrunners	-	Canucks	-
89 - 2026-12-15	610	Roadrunners	-	Reign	-
92 - 2026-12-18	634	Comets	-	Roadrunners	-
94 - 2026-12-20	647	Eagles	-	Roadrunners	-
96 - 2026-12-22	668	Canucks	-	Roadrunners	-
99 - 2026-12-25	687	Senators	-	Roadrunners	-
101 - 2026-12-27	697	Roadrunners	-	Griffins	-
103 - 2026-12-29	716	Roadrunners	-	Moose	-
106 - 2027-01-01	733	Roadrunners	-	IceHogs	-
107 - 2027-01-02	740	Griffins	-	Roadrunners	-
109 - 2027-01-04	757	Reign	-	Roadrunners	-
112 - 2027-01-07	782	Roadrunners	-	Barracuda	-
117 - 2027-01-12	822	Bruins	-	Roadrunners	-
119 - 2027-01-14	833	Wild	-	Roadrunners	-
121 - 2027-01-16	848	Americans	-	Roadrunners	-
123 - 2027-01-18	863	Bears	-	Roadrunners	-
125 - 2027-01-20	880	Admirals	-	Roadrunners	-
127 - 2027-01-22	886	Admirals	-	Roadrunners	-
128 - 2027-01-23	891	Roadrunners	-	Heat	-
137 - 2027-02-01	911	Heat	-	Roadrunners	-
139 - 2027-02-03	928	Roadrunners	-	Bears	-
140 - 2027-02-04	932	Roadrunners	-	Islanders	-
142 - 2027-02-06	949	Monsters	-	Roadrunners	-
144 - 2027-02-08	966	Firebirds	-	Roadrunners	-
146 - 2027-02-10	983	Roadrunners	-	Thunderbirds	-
149 - 2027-02-13	1000	Heat	-	Roadrunners	-
151 - 2027-02-15	1018	Checkers	-	Roadrunners	-
153 - 2027-02-17	1034	Roadrunners	-	Crunch	-
155 - 2027-02-19	1044	Roadrunners	-	Checkers	-
157 - 2027-02-21	1062	Roadrunners	-	Admirals	-
160 - 2027-02-24	1080	Roadrunners	-	Wolves	-
162 - 2027-02-26	1102	Wolf Pack	-	Roadrunners	-
166 - 2027-03-02	1122	Phantoms	-	Roadrunners	-
Trade Deadline --- Trades can’t be done after this day is simulated!
168 - 2027-03-04	1142	Stars	-	Roadrunners	-
171 - 2027-03-07	1169	Roadrunners	-	Gulls	-
172 - 2027-03-08	1172	IceHogs	-	Roadrunners	-
174 - 2027-03-10	1186	Roadrunners	-	Wild	-
176 - 2027-03-12	1205	Roadrunners	-	Eagles	-
179 - 2027-03-15	1226	Barracuda	-	Roadrunners	-
183 - 2027-03-19	1257	Roadrunners	-	Firebirds	-
185 - 2027-03-21	1271	Gulls	-	Roadrunners	-
187 - 2027-03-23	1288	Silver Knights	-	Roadrunners	-
189 - 2027-03-25	1301	Moose	-	Roadrunners	-
191 - 2027-03-27	1315	Stars	-	Roadrunners	-
193 - 2027-03-29	1328	Roadrunners	-	Stars	-
194 - 2027-03-30	1340	Roadrunners	-	Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	7,617	3,762
Attendance PCT	95.21%	94.05%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	2845 - 94.83%	76,719$	306,874$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
438,553$	2,788,375$	2,788,375$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
14,373$	331,856$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,915,303$	171	19,012$	3,251,052$

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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
Regular Season
2017	78	27	39	0	3	6	1	2	370	399	-29	39	14	21	0	3	0	0	1	185	197	-12	39	13	18	0	0	6	1	1	185	202	-17	70	370	560	930	1	0	63	153	150	6	1905	464	683	740	28	2576	847	1638	1830	390	168	43.08%	278	75	73.02%	17	696	1308	53.21%	831	1594	52.13%	846	1520	55.66%	1275	543	1990	731	1443	741
2019	82	24	49	0	1	4	0	4	210	261	-51	41	14	22	0	1	2	0	2	106	125	-19	41	10	27	0	0	2	0	2	104	136	-32	58	210	386	596	0	4	68	70	71	2	2669	870	860	931	19	3010	835	481	1917	255	39	15.29%	215	43	80.00%	1	1460	2921	49.98%	1586	3144	50.45%	637	1239	51.41%	1908	1312	1994	602	1043	516
2020	82	34	33	0	8	5	1	1	303	287	16	41	15	18	0	4	3	0	1	148	145	3	41	19	15	0	4	2	1	0	155	142	13	92	303	542	845	1	0	125	91	78	10	2933	977	1020	917	26	3011	873	566	2084	241	67	27.80%	253	53	79.05%	3	1584	3020	52.45%	1601	3041	52.65%	697	1391	50.11%	1941	1341	1959	598	1055	523
2021	82	34	39	0	2	3	3	1	287	287	0	41	17	19	0	1	2	1	1	145	142	3	41	17	20	0	1	1	2	0	142	145	-3	82	287	530	817	0	4	0	113	98	71	2987	0	862	1052	1052	3167	919	587	2040	277	56	20.22%	244	52	78.69%	1	1683	3063	54.95%	1745	3228	54.06%	769	1366	56.30%	2050	1440	1868	578	1035	537
2022	82	45	23	0	2	5	5	2	341	271	70	41	22	11	0	1	2	4	1	165	129	36	41	23	12	0	1	3	1	1	176	142	34	111	341	625	966	2	2	0	134	103	97	3171	0	1077	1021	1042	3158	873	679	2212	299	78	26.09%	282	55	80.50%	3	1892	3165	59.78%	1897	3237	58.60%	818	1405	58.22%	2139	1518	1796	564	1035	542
2023	82	47	23	0	3	5	3	1	351	284	67	41	27	9	0	2	1	2	0	177	126	51	41	20	14	0	1	4	1	1	174	158	16	112	351	634	985	0	1	0	134	95	116	3252	0	1037	1073	1116	3502	967	678	2311	291	80	27.49%	286	65	77.27%	1	1849	3181	58.13%	1970	3374	58.39%	828	1436	57.66%	2142	1531	1794	556	1023	538
2024	82	35	25	0	11	6	3	2	335	277	58	41	24	10	0	4	2	0	1	179	129	50	41	11	15	0	7	4	3	1	156	148	8	106	335	594	929	1	2	0	122	110	89	2965	0	1021	941	959	3179	924	624	2151	269	60	22.30%	276	53	80.80%	2	1719	2892	59.44%	1919	3186	60.23%	818	1364	59.97%	2137	1529	1832	553	1006	527
2025	82	45	27	0	3	6	1	0	327	260	67	41	24	11	0	1	4	1	0	164	125	39	41	21	16	0	2	2	0	0	163	135	28	104	327	605	932	5	1	0	115	105	103	2875	0	957	923	981	3040	843	665	2233	257	65	25.29%	285	49	82.81%	3	1706	2848	59.90%	1844	3047	60.52%	813	1348	60.31%	2094	1478	1825	552	1020	535
2026	10	6	3	0	0	1	0	0	50	41	9	4	3	1	0	0	0	0	0	21	16	5	6	3	2	0	0	1	0	0	29	25	4	13	50	87	137	0	0	17	19	14	0	371	124	138	108	1	393	112	72	298	32	6	18.75%	34	6	82.35%	0	217	364	59.62%	249	387	64.34%	101	177	57.06%	278	203	204	64	119	63
Total Regular Season	662	297	261	0	33	41	17	13	2574	2367	207	330	160	122	0	17	16	8	7	1290	1134	156	332	137	139	0	16	25	9	6	1284	1233	51	748	2574	4563	7137	10	14	273	951	824	494	23128	2435	7655	7706	5224	25036	7193	5990	17076	2311	619	26.78%	2153	451	79.05%	31	12806	22762	56.26%	13642	24238	56.28%	6327	11246	56.26%	15968	10899	15266	4803	8783	4525
Playoff
2022	6	2	4	0	0	0	0	0	15	20	-5	3	2	1	0	0	0	0	0	7	7	0	3	0	3	0	0	0	0	0	8	13	-5	4	15	27	42	0	0	0	3	5	6	182	0	56	52	58	236	87	65	165	28	4	14.29%	28	5	82.14%	0	109	224	48.66%	144	273	52.75%	37	82	45.12%	140	92	171	50	82	40
2023	14	9	5	0	0	0	0	0	56	43	13	7	5	2	0	0	0	0	0	27	21	6	7	4	3	0	0	0	0	0	29	22	7	18	56	102	158	0	0	0	26	14	16	504	0	177	159	160	580	154	108	372	42	9	21.43%	53	11	79.25%	1	291	535	54.39%	323	574	56.27%	123	225	54.67%	366	261	306	94	172	90
2024	12	8	4	0	0	0	0	0	46	37	9	6	4	2	0	0	0	0	0	23	18	5	6	4	2	0	0	0	0	0	23	19	4	16	46	83	129	0	0	0	20	16	8	432	0	147	152	124	483	119	89	331	42	11	26.19%	37	7	81.08%	0	264	448	58.93%	275	482	57.05%	113	199	56.78%	308	222	276	82	148	77
2025	5	1	4	0	0	0	0	0	15	17	-2	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	12	-3	2	15	28	43	0	0	0	6	3	6	192	0	67	41	68	188	47	46	143	22	4	18.18%	21	7	66.67%	0	123	214	57.48%	134	204	65.69%	50	82	60.98%	147	104	120	39	70	36
Total Playoff	37	20	17	0	0	0	0	0	132	117	15	18	12	6	0	0	0	0	0	63	51	12	19	8	11	0	0	0	0	0	69	66	3	40	132	240	372	0	0	0	55	38	36	1310	0	447	404	410	1487	407	308	1011	134	28	20.90%	139	30	78.42%	1	787	1421	55.38%	876	1533	57.14%	323	588	54.93%	963	680	875	265	474	245