Ligue du Vieux Poele

Blues
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Andreas Athanasiou			X		97.00	63	64	91	89	71	64	72	71	66	70	58	69	77	71	72	0	48	70	0	30	3	2,650,000$
2	Anthony Beauvillier		X	X		100.00	73	43	95	85	66	65	88	72	53	65	58	69	39	73	76	0	56	68	0	27	1	4,150,000$
3	Beck Malenstyn	X	X			99.00	95	57	90	73	76	67	82	66	41	65	58	89	25	55	55	0	53	68	0	26	3	888,888$
4	Jonny Brodzinski	X				98.00	67	43	95	73	78	58	85	71	70	68	60	65	25	60	61	0	53	67	0	31	1	888,888$
5	Brett Seney	X	X			100.00	65	61	75	77	61	80	84	66	80	64	63	62	60	52	52	0	53	66	0	28	2	888,888$
6	Shane Wright (R)	X				100.00	77	72	90	76	72	68	70	64	80	60	64	66	61	44	44	0	54	66	0	20	3	918,333$
7	Brandon Duhaime		X	X		100.00	91	99	75	77	78	57	83	66	36	60	57	81	25	63	64	0	54	66	0	27	1	750,000$
8	Parker Kelly		X			100.00	86	45	88	74	68	59	85	63	33	61	59	81	25	61	61	0	53	65	0	25	3	888,888$
9	Austin Watson		X	X		100.00	91	99	33	78	82	48	71	64	25	56	57	67	53	72	72	0	53	64	0	32	1	1,500,000$
10	Radim Zohorna			X		100.00	86	85	82	68	85	75	78	65	67	62	56	61	59	52	52	0	53	64	0	28	2	2,200,000$
11	Mitchell Stephens	X				100.00	61	41	94	72	69	53	86	65	79	54	59	74	25	56	56	0	54	63	0	27	1	775,000$
12	Matthew Phillips	X		X		100.00	61	39	99	68	53	56	70	69	34	61	56	63	25	47	47	0	51	61	0	26	2	775,000$
13	Jake Walman				X	100.00	69	42	80	76	63	79	80	69	25	51	60	91	25	64	65	0	53	70	0	28	3	3,400,000$
14	Darren Raddysh				X	100.00	73	53	91	74	73	77	92	65	25	65	49	74	25	61	62	0	53	69	0	28	2	888,888$
15	Alex Goligoski				X	100.00	71	42	85	80	67	65	60	69	25	62	47	71	80	88	89	0	48	69	0	39	3	2,500,000$
16	Mark Giordano				X	100.00	76	56	71	79	74	70	79	65	25	50	49	85	79	88	89	0	57	69	0	41	1	6,750,000$
17	Adam Boqvist				X	100.00	61	41	99	82	64	75	60	77	25	60	48	67	25	63	63	0	80	68	0	24	2	2,600,000$
18	Dennis Gilbert				X	100.00	82	85	86	70	81	59	61	62	25	53	48	72	25	54	54	0	53	65	0	27	3	888,888$
Scratches
1	Cole Koepke			X		100.00	77	71	91	63	71	78	82	64	50	59	65	66	62	46	46	0	48	64	0	26	3	888,888$
2	Axel Jonsson-Fjallby		X			100.00	73	62	84	65	62	56	60	45	64	45	45	59	42	54	55	0	48	53	0	26	3	888,888$
3	Nils Lundkvist				X	100.00	69	42	91	77	67	64	77	67	25	63	48	61	25	59	59	0	52	66	0	24	1	925,000$
4	Uvis Balinskis				X	100.00	78	44	90	75	68	64	69	61	25	47	48	67	25	46	46	0	48	63	0	28	3	999,999$
5	Kurtis MacDermid		X		X	100.00	83	99	57	69	90	39	63	61	25	41	48	67	25	64	64	0	48	61	0	30	2	888,888$
6	Colton White				X	100.00	75	71	85	65	71	63	68	47	25	37	39	64	37	60	60	0	35	56	0	27	2	888,888$

	TEAM AVERAGE					99.75	75	61	84	74	71	64	75	65	43	57	54	70	41	61	61	0	52	65

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Justus Annunen	100.00	69	58	56	85	77	62	75	69	77	69	75	45	45	0	54	68	0
2	Vitek Vanecek	100.00	62	72	70	68	65	58	69	65	65	62	95	60	61	0	54	66	0
Scratches
1	Mackenzie Blackwood	100.00	64	64	64	89	66	62	69	64	65	64	65	62	62	0	46	65	0
2	Spencer Martin	100.00	60	61	59	81	65	54	69	62	65	60	91	50	50	0	45	62	0
3	Daniel Vladar	100.00	60	54	54	80	65	54	69	61	65	60	75	52	53	0	42	61	0

	TEAM AVERAGE	100.00	63	62	61	81	68	58	70	64	67	63	80	54	54	0	48	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Steve Potvin	60	60	60	60	60	60	60	CAN	45	2	500,000$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Brett Seney	Drag (STL)	C/LW	8	1	7	8	-6	4	5	11	22	9	11	4.55%	3	140	17.55	1	1	2	4	27	0	0	0	1	5	0	0	42.86%	14	0	1.14	1	1	0	0	0
2	Darren Raddysh	Drag (STL)	D	8	2	6	8	1	14	22	12	18	10	9	11.11%	15	180	22.52	2	2	4	10	32	0	1	1	0	22	0	0	0.00%	0	0	0.89	0	0	1	0	0
3	Beck Malenstyn	Drag (STL)	C/LW	6	1	6	7	3	2	11	16	24	5	15	4.17%	3	132	22.14	0	4	4	7	28	0	1	1	4	32	1	0	39.11%	179	0	1.05	1	2	0	0	1
4	Jake Walman	Drag (STL)	D	6	2	4	6	-3	18	14	14	15	4	19	13.33%	10	141	23.56	1	2	3	11	28	0	0	0	0	23	0	0	0.00%	0	0	0.85	0	0	0	0	0
5	Parker Kelly	Drag (STL)	LW	8	2	4	6	2	6	10	20	26	6	15	7.69%	1	112	14.07	1	0	1	1	4	0	0	0	0	8	0	0	50.00%	8	0	1.07	0	0	0	1	0
6	Mark Giordano	Drag (STL)	D	5	1	4	5	3	2	9	4	14	3	13	7.14%	7	114	22.82	0	2	2	10	21	0	0	0	0	11	0	0	0.00%	0	0	0.88	0	0	0	0	1
7	Jonny Brodzinski	Drag (STL)	C	8	3	2	5	-4	0	1	20	20	4	10	15.00%	0	141	17.72	1	1	2	10	23	0	0	0	1	25	0	0	50.62%	162	0	0.71	1	2	1	0	0
8	Austin Watson	Drag (STL)	LW/RW	8	4	0	4	-2	14	25	10	20	5	11	20.00%	1	115	14.45	0	0	0	1	7	0	0	0	0	5	0	1	22.22%	9	1	0.69	0	0	0	1	0
9	Brandon Duhaime	Drag (STL)	LW/RW	5	1	3	4	3	8	16	4	13	5	4	7.69%	2	83	16.61	0	1	1	1	22	0	0	0	2	3	0	0	25.00%	8	0	0.96	0	1	1	0	0
10	Andreas Athanasiou	Drag (STL)	RW	4	3	0	3	2	0	1	17	14	3	8	21.43%	0	96	24.17	1	0	1	5	18	1	0	1	1	15	0	1	51.16%	43	0	0.62	0	1	0	0	1
11	Adam Boqvist	Drag (STL)	D	5	1	2	3	2	0	2	7	7	2	1	14.29%	7	106	21.35	1	0	1	4	8	0	0	0	1	23	0	0	0.00%	0	0	0.56	0	0	0	0	0
12	Shane Wright	Drag (STL)	C	5	2	1	3	2	4	3	11	10	4	12	20.00%	0	80	16.13	0	0	0	0	0	0	0	0	1	12	0	0	45.26%	95	0	0.74	0	1	0	0	0
13	Alex Goligoski	Drag (STL)	D	2	0	2	2	1	0	0	1	3	3	1	0.00%	1	38	19.34	0	1	1	2	10	0	0	0	0	0	0	0	0.00%	0	0	1.03	0	0	0	0	0
14	Radim Zohorna	Drag (STL)	RW	8	1	1	2	-3	2	23	3	24	2	9	4.17%	0	112	14.09	1	0	1	12	28	0	0	0	0	0	0	0	37.50%	8	0	0.35	0	0	0	1	0
15	Dennis Gilbert	Drag (STL)	D	8	0	1	1	-2	12	13	7	7	0	2	0.00%	5	117	14.63	0	0	0	1	5	0	0	0	1	16	0	0	0.00%	0	0	0.17	0	0	0	0	0
16	Kurtis MacDermid	Drag (STL)	LW/D	3	0	1	1	2	4	5	0	0	0	0	0.00%	2	23	7.80	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.85	0	0	0	0	0
17	Anthony Beauvillier	Drag (STL)	LW/RW	2	0	0	0	0	0	2	3	5	1	5	0.00%	0	36	18.01	0	0	0	0	1	0	0	0	0	3	0	0	25.00%	4	0	0.00	0	0	0	0	0
18	Mitchell Stephens	Drag (STL)	C	5	0	0	0	-1	0	1	4	2	1	1	0.00%	1	27	5.46	0	0	0	0	0	0	0	0	0	7	0	0	60.61%	33	0	0.00	0	0	0	0	0
19	Matthew Phillips	Drag (STL)	C/RW	5	0	0	0	0	2	2	5	3	3	3	0.00%	0	34	6.93	0	0	0	1	0	0	0	0	0	4	0	0	22.22%	9	0	0.00	0	0	0	0	0
20	Colton White	Drag (STL)	D	1	0	0	0	1	0	1	0	1	0	0	0.00%	0	3	3.82	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0
21	Nils Lundkvist	Drag (STL)	D	3	0	0	0	-4	0	2	0	2	0	0	0.00%	1	51	17.02	0	0	0	1	2	0	0	0	0	7	0	0	0.00%	0	0	0.00	0	0	0	0	0
Team Total or Average				113	24	44	68	-3	92	168	169	250	70	149	9.60%	59	1890	16.73	9	14	23	81	273	1	2	3	12	237	1	2	44.93%	572	1	0.72	3	8	3	3	3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	PCT	GAA	MP	GA	SA	A	PS %	PSA	ST	BG
1	Vitek Vanecek	Drag (STL)	4	2	1	0.898	3.24	204	11	108	1	0.875	8	3	2
2	Justus Annunen	Drag (STL)	2	1	1	0.833	4.57	105	8	48	0	0.000	0	2	0
Team Total or Average			6	3	2	0.878	3.68	310	19	156	1	0.875	8	5	2

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Adam Boqvist	Drag (STL)	D	24	2000-08-14	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	0$	0$	No	2,600,000$			Link / NHL Link
Alex Goligoski	Drag (STL)	D	39	1985-07-29	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No	2,500,000$	2,500,000$		Link / NHL Link
Andreas Athanasiou	Drag (STL)	RW	30	1994-08-05	No	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,650,000$	2,650,000$	0$	0$	No	2,650,000$	2,650,000$		Link / NHL Link
Anthony Beauvillier	Drag (STL)	LW/RW	27	1997-06-08	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	4,150,000$	4,150,000$	0$	0$	No				Link / NHL Link
Austin Watson	Drag (STL)	LW/RW	32	1992-01-12	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No				Link / NHL Link
Axel Jonsson-Fjallby	Drag (STL)	LW	26	1998-02-10	No	169 Lbs	6 ft0	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Link
Beck Malenstyn	Drag (STL)	C/LW	26	1998-02-04	No	200 Lbs	6 ft3	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Link / NHL Link
Brandon Duhaime	Drag (STL)	LW/RW	27	1997-05-22	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Link / NHL Link
Brett Seney	Drag (STL)	C/LW	28	1996-02-27	No	174 Lbs	5 ft9	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Link / NHL Link
Cole Koepke	Drag (STL)	RW	26	1998-05-17	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Link
Colton White	Drag (STL)	D	27	1997-05-03	No	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Link / NHL Link
Daniel Vladar	Drag (STL)	G	27	1997-08-20	No	185 Lbs	6 ft5	No	No	No	4	Pro & Farm	2,200,000$	2,200,000$	0$	0$	No	2,200,000$	2,200,000$	2,200,000$	Link
Darren Raddysh	Drag (STL)	D	28	1996-02-28	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Link / NHL Link
Dennis Gilbert	Drag (STL)	D	27	1996-10-30	No	216 Lbs	6 ft2	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Link
Jake Walman	Drag (STL)	D	28	1996-02-20	No	169 Lbs	6 ft1	No	No	No	3	Pro & Farm	3,400,000$	3,400,000$	0$	0$	No	3,400,000$	3,400,000$		Link / NHL Link
Jonny Brodzinski	Drag (STL)	C	31	1993-06-19	No	216 Lbs	6 ft1	No	No	No	1	Pro & Farm	888,888$	888,888$	0$	0$	No				Link / NHL Link
Justus Annunen	Drag (STL)	G	24	2000-03-11	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	880,833$	880,833$	0$	0$	No				Link
Kurtis MacDermid	Drag (STL)	LW/D	30	1994-03-25	No	233 Lbs	6 ft5	No	No	No	2	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$			Link / NHL Link
Mackenzie Blackwood	Drag (STL)	G	28	1996-09-12	No	224 Lbs	6 ft4	No	No	No	3	Pro & Farm	3,200,000$	3,200,000$	0$	0$	No	3,200,000$	3,200,000$		Link / NHL Link
Mark Giordano	Drag (STL)	D	41	1983-10-02	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	6,750,000$	6,750,000$	0$	0$	No				Link / NHL Link
Matthew Phillips	Drag (STL)	C/RW	26	1998-04-06	No	141 Lbs	5 ft7	No	No	No	2	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$			Link
Mitchell Stephens	Drag (STL)	C	27	1997-02-05	No	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	775,000$	775,000$	0$	0$	No				Link
Nils Lundkvist	Drag (STL)	D	24	2000-07-27	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Link
Parker Kelly	Drag (STL)	LW	25	1999-05-14	No	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	888,888$	888,888$	0$	0$	No	888,888$	888,888$		Link / NHL Link
Radim Zohorna	Drag (STL)	RW	28	1996-04-29	No	220 Lbs	6 ft6	No	No	No	2	Pro & Farm	2,200,000$	2,200,000$	0$	0$	No	2,200,000$			Link
Shane Wright	Drag (STL)	C	20	2004-01-05	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	918,333$	918,333$	0$	0$	No	918,333$	918,333$		Link
Spencer Martin	Drag (STL)	G	29	1995-06-08	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,250,000$	3,250,000$	0$	0$	No	3,250,000$			Link / NHL Link
Uvis Balinskis	Drag (STL)	D	28	1996-08-01	No	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	999,999$	999,999$	0$	0$	No	999,999$	999,999$		Link
Vitek Vanecek	Drag (STL)	G	28	1996-01-08	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,400,000$	3,400,000$	0$	0$	No				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	27.97	194 Lbs	6 ft1	2.14	1,817,691$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	35	0	1	4
2	Brett Seney	Jonny Brodzinski	Radim Zohorna	35	0	2	3
3	Parker Kelly	Shane Wright	Austin Watson	25	1	2	2
4	Andreas Athanasiou	Mitchell Stephens	Matthew Phillips	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Walman	Darren Raddysh	35	1	2	2
2	Alex Goligoski	Mark Giordano	35	1	2	2
3	Dennis Gilbert	Adam Boqvist	25	1	2	2
4	Jake Walman	Darren Raddysh	5	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	60	1	2	2
2	Brett Seney	Jonny Brodzinski	Radim Zohorna	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Walman	Darren Raddysh	60	1	2	2
2	Alex Goligoski	Mark Giordano	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Andreas Athanasiou	Beck Malenstyn	60	1	2	2
2	Jonny Brodzinski	Shane Wright	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Walman	Mark Giordano	60	1	2	2
2	Adam Boqvist	Dennis Gilbert	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Andreas Athanasiou	60	1	2	2	Alex Goligoski	Darren Raddysh	60	1	2	2
2	Beck Malenstyn	40	1	2	2	Adam Boqvist	Dennis Gilbert	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Andreas Athanasiou	Beck Malenstyn	60	1	2	2
2	Jonny Brodzinski	Shane Wright	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dennis Gilbert	Adam Boqvist	60	1	2	2
2	Alex Goligoski	Jake Walman	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	Jake Walman	Darren Raddysh

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brandon Duhaime	Beck Malenstyn	Andreas Athanasiou	Jake Walman	Darren Raddysh

Extra Forwards
Normal	PowerPlay	Penalty Kill
Parker Kelly, Austin Watson, Mitchell Stephens	Parker Kelly, Austin Watson	Mitchell Stephens

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dennis Gilbert, Alex Goligoski, Adam Boqvist	Dennis Gilbert	Mark Giordano, Adam Boqvist

Penalty Shots
Andreas Athanasiou, Beck Malenstyn, Jonny Brodzinski, Shane Wright, Brandon Duhaime

Goalie
#1 : Justus Annunen, #2 : Vitek Vanecek

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Checkers	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	6	5	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	11	18	0	0	12	9	8	3	74	91	114	93	14	75	17	44	60	13	4	30.77%	21	6	71.43%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
2	Hurricanes	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	9	17	26	0	0	12	9	8	3	86	91	114	93	14	100	29	20	50	7	1	14.29%	8	2	75.00%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
3	IceHogs	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	10	17	0	0	12	9	8	3	80	91	114	93	14	59	21	18	57	7	2	28.57%	9	2	77.78%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	Total	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
4	Wilkes-Barre	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	8	15	23	0	0	12	9	8	3	64	91	114	93	14	66	13	22	43	12	2	16.67%	10	2	80.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Since Last GM Reset	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Vs Conference	8	2	4	0	0	0	2	0	31	32	-1	4	2	0	0	0	0	2	0	21	14	7	4	0	4	0	0	0	0	0	10	18	-8	8	0.500	31	53	84	0	0	12	9	8	3	304	91	114	93	14	300	80	104	210	39	9	23.08%	48	12	75.00%	1	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51
	_Vs Division	6	2	4	0	0	0	2	0	23	26	-3	3	2	0	0	0	0	2	0	16	12	4	3	0	4	0	0	0	0	0	7	14	-7	8	0.667	23	38	61	0	0	12	9	8	3	240	91	114	93	14	234	67	82	167	27	7	25.93%	38	10	73.68%	0	142	318	44.65%	142	318	44.65%	68	135	50.37%	193	131	195	62	100	51

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
8	8	L1	31	53	84	304	300	80	104	210	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	4	0	0	2	0	31	32

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	0	0	0	2	0	21	14

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	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
39	9	23.08%	48	12	75.00%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
91	114	93	14	12	9	8	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
142	318	44.65%	142	318	44.65%	68	135	50.37%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
193	131	195	62	100	51

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	Link
2 - 2024-09-18	6	Drag	1	Checkers	3	L			BoxScore
3 - 2024-09-19	15	Drag	2	Hurricanes	5	L			BoxScore
5 - 2024-09-21	24	Hurricanes	5	Drag	7	W			BoxScore
7 - 2024-09-23	36	Checkers	5	Drag	6	W	X	X	BoxScore
8 - 2024-09-24	43	Drag	3	Wilkes-Barre	4	L			BoxScore
10 - 2024-09-26	56	IceHogs	2	Drag	3	W	X	X	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
13 - 2024-09-29	69	Wilkes-Barre	2	Drag	5	W			BoxScore
14 - 2024-09-30	74	Drag	4	IceHogs	6	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	20
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$	5,271,306$	3,290,473$	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$	1	0$	0$

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