Super Ligue Simulé 2 - Schedule Pro Stars

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Nathan MacKinnon	0	C	99.00	63	35	84	87	75	95	95	86	90	84	81	64	84	68	61	89	50	74	23	6,300,000$/3yrs
Mikko Rantanen	0	RW	100.00	64	35	75	86	89	94	87	85	62	86	78	70	82	60	58	85	50	74	21	894,167$/1yrs
Ryan Nugent-Hopkins	0	C	100.00	65	35	81	79	71	93	95	78	81	77	75	74	77	72	62	87	50	71	25	6,000,000$/1yrs
Anders Lee	0	LW	100.00	70	41	69	74	90	87	95	73	73	70	75	69	74	67	60	40	50	69	28	3,750,000$/1yrs
Travis Zajac	0	C	100.00	65	35	77	73	77	91	93	72	90	72	70	75	71	87	61	44	50	69	33	5,750,000$/3yrs
Josh Bailey	0	RW	100.00	58	38	77	76	80	86	95	75	79	77	68	65	72	82	65	69	50	69	28	3,300,000$/4yrs
Brady Tkachuk	0	LW	100.00	84	47	65	75	83	85	84	74	73	71	73	63	74	53	56	91	50	67	19	925,000$/3yrs
J.T. Miller	0	C/LW/RW	100.00	73	35	75	74	81	82	88	73	78	76	67	64	70	67	60	80	50	67	25	5,250,000$/5yrs
Alex Galchenyuk	0	C/LW	100.00	65	35	75	73	79	84	85	72	77	71	71	61	72	70	56	86	50	66	24	4,900,000$/2yrs
Magnus Paajarvi	0	LW	100.00	65	35	76	66	85	82	93	65	66	63	66	80	66	69	56	71	50	66	27	900,000$/1yrs
Scott Laughton	0	C/LW	100.00	76	38	70	69	75	82	95	68	84	68	66	77	67	61	53	79	50	66	24	962,500$/1yrs
Sven Andrighetto	0	RW	100.00	60	35	75	67	68	77	77	66	57	65	65	67	66	59	53	60	53	62	25	650,000$/1yrs
Matt Niskanen	0	D	99.00	80	41	77	67	78	89	93	67	30	69	65	81	66	85	61	48	50	71	31	5,750,000$/1yrs
Drew Doughty	0	D	100.00	79	35	82	73	78	95	95	72	30	79	65	67	69	84	65	73	50	70	28	7,000,000$/1yrs
Danny DeKeyser	0	D	100.00	73	41	78	69	82	90	65	69	30	72	65	79	67	67	55	36	50	68	28	5,000,000$/3yrs
Michael Del Zotto	0	D	100.00	92	35	80	66	75	80	55	65	30	69	61	68	63	74	57	66	50	65	28	3,000,000$/1yrs
Jamie Oleksiak	0	D	100.00	83	50	72	65	99	76	70	65	30	66	63	61	64	60	53	71	50	64	25	2,137,500$/3yrs
Kevin Gravel	0	D	100.00	64	35	80	60	89	73	68	60	30	61	59	68	60	54	51	46	50	61	26	700,000$/1yrs
Scratches
Buddy Robinson	0	RW	100.00	70	89	62	70	99	50	50	70	50	59	59	54	59	50	50	36	50	58	27	700,000$/1yrs

	TEAM AVERAGE		99.89	71	41	75	72	82	84	83	71	60	71	68	69	70	68	58	66	50	67

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Ben Bishop	0	100.00	97	86	87	98	96	95	97	96	95	96	89	78	88	38	50	90	31	4,916,670$/3yrs
Jack Campbell	0	98.00	90	78	83	80	89	88	90	89	88	89	82	53	72	72	50	81	26	675,000$/1yrs
Scratches
Jared Coreau	0	100.00	72	69	80	96	71	71	72	71	71	71	66	52	62	36	50	70	26	650,000$/1yrs
Michal Neuvirth	0	100.00	64	59	80	79	63	63	64	63	63	63	59	69	67	60	50	64	30	2,500,000$/1yrs

	TEAM AVERAGE	99.50	81	73	83	88	80	79	81	80	79	80	74	63	72	52	50	76

Farm

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Oskar Sundqvist	0	C	100.00	71	35	73	70	85	82	87	69	75	68	68	74	69	56	52	62	56	66	24	675,000$/1yrs
Nick Ritchie	0	LW	100.00	79	35	63	72	87	83	73	71	60	73	66	67	69	60	53	84	53	65	22	894,167$/1yrs
Warren Foegele	0	LW	100.00	74	35	73	65	80	80	90	64	68	62	66	67	65	53	51	66	56	63	22	800,000$/2yrs
Boo Nieves	0	C/LW	100.00	63	35	75	66	85	68	72	65	69	62	62	62	64	53	51	66	56	60	24	708,750$/1yrs
Timothy Gettinger	0	LW	100.00	69	35	68	66	96	51	52	66	50	59	59	50	60	50	50	56	53	57	20	730,000$/3yrs
Michael McLeod	0	C	100.00	60	47	66	69	78	58	60	68	71	57	56	52	58	51	50	85	53	56	20	863,333$/1yrs
Brandon Gignac	0	C	100.00	50	35	66	70	66	50	50	70	70	57	57	50	57	50	50	65	53	55	20	714,166$/1yrs
Giovanni Fiore	0	LW	100.00	51	89	70	64	76	50	50	64	50	58	58	50	58	50	50	44	56	54	22	701,667$/2yrs
Mirco Mueller	0	D	100.00	72	41	78	65	85	81	66	65	30	68	61	69	63	55	52	81	56	63	23	850,000$/1yrs
Victor Mete	0	D	100.00	58	35	80	63	66	78	91	63	30	66	59	64	61	55	51	62	56	61	20	870,000$/2yrs
Philippe Myers	0	D	100.00	67	35	63	68	91	58	60	68	30	59	59	55	60	51	50	44	53	59	21	678,333$/1yrs
Jonas Siegenthaler	0	D	100.00	63	35	71	60	85	59	63	59	30	58	55	59	56	51	50	70	53	57	21	714,166$/1yrs
Andreas Borgman	0	D	100.00	54	89	63	65	77	50	50	65	30	54	54	50	54	52	51	43	56	54	23	925,000$/1yrs
Josh Jacobs	0	D	100.00	55	35	63	58	80	49	50	58	30	52	52	50	52	50	50	74	53	52	22	725,833$/1yrs
Scratches

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Scratches

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

General Manager
Roger Haché

Player Stats

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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	EG	HT	P/20	PSG
1	Nathan MacKinnon	Stars	0	C	11	6	6	12	1	6	0	8	26	9	24	23.08%	6	21.51	3	3	6	31	1	0	1	55	2	0	48.37%	184	14	8	0	1.01	0	0
2	Anders Lee	Stars	0	LW	11	3	5	8	4	12	0	12	28	6	12	10.71%	4	17.40	1	4	5	31	0	0	0	24	0	1	50.00%	20	12	5	0	0.84	0	2
3	Mikko Rantanen	Stars	0	RW	11	3	5	8	3	8	0	8	31	16	15	9.68%	2	17.41	1	1	2	20	0	1	1	36	0	1	21.43%	14	21	6	0	0.84	1	2
4	Ryan Nugent-Hopkins	Stars	0	C	11	3	3	6	-1	6	0	9	36	12	22	8.33%	8	18.35	0	3	3	29	0	0	0	23	1	0	43.48%	115	27	8	0	0.59	2	2
5	Josh Bailey	Stars	0	RW	11	2	4	6	-2	12	0	7	26	6	16	7.69%	3	16.62	2	0	2	29	0	0	0	0	0	1	64.29%	28	20	4	0	0.66	1	1
6	Michael Del Zotto	Stars	0	D	11	0	5	5	-2	4	0	25	1	3	5	0.00%	18	21.66	0	1	1	26	0	1	1	44	0	0	0.00%	0	0	17	0	0.42	0	0
7	J.T. Miller	Stars	0	C/LW/RW	11	1	2	3	-1	4	0	19	13	9	11	7.69%	6	15.48	0	1	1	29	0	0	0	0	0	0	33.33%	9	15	1	0	0.35	0	0
8	Brady Tkachuk	Stars	0	LW	11	2	0	2	-3	18	0	9	29	15	21	6.90%	2	12.35	0	0	0	0	0	0	0	2	0	1	50.00%	4	9	3	0	0.29	0	0
9	Travis Zajac	Stars	0	C	11	1	1	2	-5	2	0	5	14	4	12	7.14%	4	13.81	1	1	2	11	0	0	0	60	0	0	56.52%	115	16	8	0	0.26	0	0
10	Alex Galchenyuk	Stars	0	C/LW	11	0	1	1	-4	4	0	13	34	13	16	0.00%	3	14.51	0	0	0	0	0	0	0	14	0	0	48.19%	83	9	3	0	0.13	0	2
11	Magnus Paajarvi	Stars	0	LW	11	0	1	1	-3	8	0	6	14	9	10	0.00%	6	12.06	0	0	0	0	0	0	0	0	0	0	33.33%	3	1	7	0	0.15	0	0
12	Drew Doughty	Stars	0	D	11	1	0	1	-3	8	0	21	12	2	2	8.33%	11	26.12	1	0	1	35	0	0	0	60	0	1	0.00%	0	0	11	0	0.07	0	0
13	Matt Niskanen	Stars	0	D	11	0	1	1	-3	10	0	17	11	4	2	0.00%	16	25.91	0	0	0	35	0	0	0	60	0	0	0.00%	0	1	22	0	0.07	0	0
14	Scott Laughton	Stars	0	C/LW	11	0	1	1	-5	0	0	11	10	5	5	0.00%	1	6.92	0	0	0	1	0	0	0	0	0	0	44.44%	9	5	1	0	0.26	0	0
15	Danny DeKeyser	Stars	0	D	11	0	1	1	-2	8	0	8	11	9	8	0.00%	5	13.32	0	0	0	0	0	0	0	1	0	0	0.00%	0	1	7	0	0.14	0	0
16	Jamie Oleksiak	Stars	0	D	11	0	1	1	-3	8	0	18	2	3	3	0.00%	7	21.30	0	0	0	26	0	0	0	42	0	0	0.00%	0	0	11	0	0.09	0	0
17	Sven Andrighetto	Stars	0	RW	11	0	0	0	-4	2	0	2	5	3	3	0.00%	1	4.34	0	0	0	0	0	0	0	0	0	0	50.00%	2	2	1	0	0.00	0	0
18	Kevin Gravel	Stars	0	D	11	0	0	0	-2	23	5	4	2	6	8	0.00%	12	13.40	0	0	0	0	0	0	0	9	0	0	0.00%	0	1	5	0	0.00	0	0
Team Total or Average				198	22	37	59	-35	143	5	202	305	134	195	7.21%	115	16.25	9	14	23	310	1	2	3	436	3	5	48.81%	586	154	128	0	0.37	4	9

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	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S3
1	Jack Campbell	Stars	7	3	4	0	0.897	3.09	388	0	20	194	112	0	0	0.778	9	7	4	2	0
2	Ben Bishop	Stars	5	2	2	0	0.919	2.77	282	0	13	161	92	1	0	0.000	0	4	7	1	0
Team Total or Average		12	5	6	0	0.907	2.96	670	0	33	355	204	1	0	0.778	9	11	11	3	0

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

#	VS Team	GP	W	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	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	GF%	SH%	SV%	PDO	PDOBRK
1	Bruins	1	1	0	0	3	1	2	2	1.000	3	5	8	2	1	0	26	10	10	6	0	38	10	8	16	8	2	25.00%	4	1	75.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	24	15	21	8	14	7	100.0%	11.5%	97.4%	108.9	LUCKY
2	Red Wings	1	0	1	0	1	3	-2	0	0.000	1	2	3	1	0	0	18	6	7	5	0	34	10	6	25	2	0	0.00%	3	0	100.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	10	26	8	14	7	25.0%	5.6%	91.2%	96.7	DULL
3	Flyers	1	0	1	0	1	3	-2	0	0.000	1	2	3	1	0	0	28	9	5	14	0	29	7	14	19	3	0	0.00%	7	1	85.71%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	24	15	22	7	13	6	33.3%	3.6%	89.7%	93.2	Unlucky
4	Blues	1	1	0	0	3	2	1	2	1.000	3	5	8	3	0	0	31	3	22	6	0	30	9	12	16	6	2	33.33%	6	1	83.33%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	21	14	24	8	14	7	50.0%	9.7%	93.3%	103.0	LUCKY
5	Capitals	2	0	1	1	2	5	-3	2	0.500	2	1	3	1	0	2	56	23	14	15	9	66	18	24	32	5	1	20.00%	12	2	83.33%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	39	23	53	16	31	14	25.0%	3.6%	92.4%	96.0	DULL
6	Penguins	1	1	0	0	4	2	2	2	1.000	4	6	10	4	0	0	27	6	17	4	0	31	10	16	25	2	0	0.00%	8	1	87.50%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	19	12	24	8	15	7	80.0%	14.8%	93.5%	108.4	LUCKY
7	Sabres	1	0	1	0	3	5	-2	0	0.000	3	5	8	3	0	0	37	9	9	19	0	29	13	25	13	5	1	20.00%	7	3	57.14%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	22	15	23	7	13	6	50.0%	8.1%	82.8%	90.9	Unlucky
8	Blue Jackets	1	0	1	0	2	4	-2	0	0.000	2	4	6	1	1	0	34	13	11	10	0	26	13	8	26	4	1	25.00%	4	2	50.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	25	18	20	7	13	6	33.3%	5.9%	84.6%	90.5	Unlucky
9	Senators	1	0	1	0	3	7	-4	0	0.000	3	5	8	1	2	0	21	3	7	11	0	33	8	18	12	3	1	33.33%	9	2	77.78%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	10	27	8	13	6	28.6%	14.3%	78.8%	93.1	FUN
10	Flames	1	0	0	1	2	1	1	2	1.000	2	2	4	1	0	2	27	7	4	12	8	39	17	12	18	3	1	33.33%	6	0	100.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	9	29	9	17	8	50.0%	7.4%	97.4%	104.8	DULL
	_Vs Division	1	1	0	0	3	2	1	2	1.000	3	5	8	3	0	0	31	3	22	6	0	30	9	12	16	6	2	33.33%	6	1	83.33%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	21	14	24	8	14	7	50.0%	9.7%	93.3%	103.0	LUCKY
	_Vs Conference	2	1	0	1	5	3	2	4	1.000	5	7	12	4	0	2	58	10	26	18	8	69	26	24	34	9	3	33.33%	12	1	91.67%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	39	23	53	18	31	15	50.0%	8.6%	95.7%	104.3	DULL
	_Since Last GM Reset	11	3	6	2	24	33	-9	10	0.455	24	37	61	18	4	4	305	89	106	102	17	355	115	143	202	41	9	21.95%	66	13	80.30%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	233	145	273	91	163	78	42.9%	7.9%	90.7%	98.6	Unlucky
	Total	11	3	6	2	24	33	-9	10	0.455	24	37	61	18	4	4	305	89	106	102	17	355	115	143	202	41	9	21.95%	66	13	80.30%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	233	145	273	91	163	78	42.9%	7.9%	90.7%	98.6	Unlucky

	Puck Time
Offensive Zone	21
Neutral Zone	14
Defensive Zone	24

	Puck Time
Offensive Zone Start	220
Neutral Zone Start	129
Defensive Zone Start	237

	Puck Time
With Puck	28
Without Puck	32

	Faceoffs
Faceoffs Won	286
Faceoffs Lost	300

	Team Average Shots after	League Average Shots after
1st Period	8.1	9.57
2nd Period	17.7	20.31
3rd Period	27.0	30.68
Overtime	28.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	1.6	1.65
3rd Period	2.0	2.67
Overtime	2.4	2.83


Even Strenght Goal	14
PP Goal	9
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	3	2
Lost	1	5
Overtime Lost	0	0


PP Attempt	41
PP Goal	9
PK Attempt	66
PK Goal Against	13

	Home
Shots For	27.7
Shots Against	32.3
Goals For	2.2
Goals Against	3.0
Hits	18.4
Shots Blocked	10.5
Pim	13.0

Cap Hit


	Projected Total Cap Hit	72,610,837$
	Projected Cap Space	6,889,163$
	Retains And Buyout Cap Hit	0$
	Salary Cap To Date	7,807,620$
	Players In Salary Cap	23
	LTIR Players	0

Stars Roster	Pos	Age	Cap Hit	2019-20	2020-21	2021-22	2022-23	2023-24
Alex Galchenyuk	C/LW	24	4,900,000$	4,900,000$	4,900,000$
Anders Lee	LW	28	3,750,000$	3,750,000$
Ben Bishop	G	31	4,916,670$	4,916,670$	4,916,670$	4,916,670$
Brady Tkachuk	LW	19	925,000$	925,000$	925,000$	925,000$
Buddy Robinson	RW	27	700,000$	700,000$
Danny DeKeyser	D	28	5,000,000$	5,000,000$	5,000,000$	5,000,000$
Drew Doughty	D	28	7,000,000$	7,000,000$
J.T. Miller	C/LW/RW	25	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$
Jack Campbell	G	26	675,000$	675,000$
Jamie Oleksiak	D	25	2,137,500$	2,137,500$	2,137,500$	2,137,500$
Jared Coreau	G	26	650,000$	650,000$
Josh Bailey	RW	28	3,300,000$	3,300,000$	3,300,000$	3,300,000$	3,300,000$
Kevin Gravel	D	26	700,000$	700,000$
Magnus Paajarvi	LW	27	900,000$	900,000$
Matt Niskanen	D	31	5,750,000$	5,750,000$
Michael Del Zotto	D	28	3,000,000$	3,000,000$
Michal Neuvirth	G	30	2,500,000$	2,500,000$
Mikko Rantanen	RW	21	894,167$	894,167$
Nathan MacKinnon	C	23	6,300,000$	6,300,000$	6,300,000$	6,300,000$
Ryan Nugent-Hopkins	C	25	6,000,000$	6,000,000$
Scott Laughton	C/LW	24	962,500$	962,500$
Sven Andrighetto	RW	25	650,000$	650,000$
Travis Zajac	C	33	5,750,000$	5,750,000$	5,750,000$	5,750,000$

Lines

Forward Lines
#0 - Mikko Rantanen	#0 - Nathan MacKinnon	#0 - Anders Lee
#0 - Josh Bailey	#0 - Ryan Nugent-Hopkins	#0 - J.T. Miller
#0 - Brady Tkachuk	#0 - Alex Galchenyuk	#0 - Magnus Paajarvi
#0 - Sven Andrighetto	#0 - Travis Zajac	#0 - Scott Laughton

Defensive Pairings
#0 - Drew Doughty	#0 - Matt Niskanen
#0 - Michael Del Zotto	#0 - Jamie Oleksiak
#0 - Danny DeKeyser	#0 - Kevin Gravel

1st Power Play Unit
#0 - Travis Zajac		#0 - Nathan MacKinnon		#0 - Anders Lee
#0 - Drew Doughty			#0 - Matt Niskanen

2nd Power Play Unit
#0 - Josh Bailey		#0 - Ryan Nugent-Hopkins		#0 - J.T. Miller
#0 - Michael Del Zotto			#0 - Jamie Oleksiak

Goalies

Team Stats

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

#	VS Team	GP	W	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	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	GF%	SH%	SV%	PDO	PDOBRK
1	Bruins	1	1	0	0	3	1	2	2	1.000	3	5	8	2	1	0	26	10	10	6	0	38	10	8	16	8	2	25.00%	4	1	75.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	24	15	21	8	14	7	100.0%	11.5%	97.4%	108.9	LUCKY
2	Red Wings	1	0	1	0	1	3	-2	0	0.000	1	2	3	1	0	0	18	6	7	5	0	34	10	6	25	2	0	0.00%	3	0	100.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	10	26	8	14	7	25.0%	5.6%	91.2%	96.7	DULL
3	Flyers	1	0	1	0	1	3	-2	0	0.000	1	2	3	1	0	0	28	9	5	14	0	29	7	14	19	3	0	0.00%	7	1	85.71%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	24	15	22	7	13	6	33.3%	3.6%	89.7%	93.2	Unlucky
4	Blues	1	1	0	0	3	2	1	2	1.000	3	5	8	3	0	0	31	3	22	6	0	30	9	12	16	6	2	33.33%	6	1	83.33%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	21	14	24	8	14	7	50.0%	9.7%	93.3%	103.0	LUCKY
5	Capitals	2	0	1	1	2	5	-3	2	0.500	2	1	3	1	0	2	56	23	14	15	9	66	18	24	32	5	1	20.00%	12	2	83.33%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	39	23	53	16	31	14	25.0%	3.6%	92.4%	96.0	DULL
6	Penguins	1	1	0	0	4	2	2	2	1.000	4	6	10	4	0	0	27	6	17	4	0	31	10	16	25	2	0	0.00%	8	1	87.50%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	19	12	24	8	15	7	80.0%	14.8%	93.5%	108.4	LUCKY
7	Sabres	1	0	1	0	3	5	-2	0	0.000	3	5	8	3	0	0	37	9	9	19	0	29	13	25	13	5	1	20.00%	7	3	57.14%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	22	15	23	7	13	6	50.0%	8.1%	82.8%	90.9	Unlucky
8	Blue Jackets	1	0	1	0	2	4	-2	0	0.000	2	4	6	1	1	0	34	13	11	10	0	26	13	8	26	4	1	25.00%	4	2	50.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	25	18	20	7	13	6	33.3%	5.9%	84.6%	90.5	Unlucky
9	Senators	1	0	1	0	3	7	-4	0	0.000	3	5	8	1	2	0	21	3	7	11	0	33	8	18	12	3	1	33.33%	9	2	77.78%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	10	27	8	13	6	28.6%	14.3%	78.8%	93.1	FUN
10	Flames	1	0	0	1	2	1	1	2	1.000	2	2	4	1	0	2	27	7	4	12	8	39	17	12	18	3	1	33.33%	6	0	100.00%	0	111	220	50.45%	108	237	45.57%	67	129	51.94%	18	9	29	9	17	8	50.0%	7.4%	97.4%	104.8	DULL
	_Vs Division	1	1	0	0	3	2	1	2	1.000	3	5	8	3	0	0	31	3	22	6	0	30	9	12	16	6	2	33.33%	6	1	83.33%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	21	14	24	8	14	7	50.0%	9.7%	93.3%	103.0	LUCKY
	_Vs Conference	2	1	0	1	5	3	2	4	1.000	5	7	12	4	0	2	58	10	26	18	8	69	26	24	34	9	3	33.33%	12	1	91.67%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	39	23	53	18	31	15	50.0%	8.6%	95.7%	104.3	DULL
	_Since Last GM Reset	11	3	6	2	24	33	-9	10	0.455	24	37	61	18	4	4	305	89	106	102	17	355	115	143	202	41	9	21.95%	66	13	80.30%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	233	145	273	91	163	78	42.9%	7.9%	90.7%	98.6	Unlucky
	Total	11	3	6	2	24	33	-9	10	0.455	24	37	61	18	4	4	305	89	106	102	17	355	115	143	202	41	9	21.95%	66	13	80.30%	1	111	220	50.45%	108	237	45.57%	67	129	51.94%	233	145	273	91	163	78	42.9%	7.9%	90.7%	98.6	Unlucky

	Puck Time
Offensive Zone	21
Neutral Zone	14
Defensive Zone	24

	Puck Time
Offensive Zone Start	220
Neutral Zone Start	129
Defensive Zone Start	237

	Puck Time
With Puck	28
Without Puck	32

	Faceoffs
Faceoffs Won	286
Faceoffs Lost	300

	Team Average Shots after	League Average Shots after
1st Period	8.1	9.57
2nd Period	17.7	20.31
3rd Period	27.0	30.68
Overtime	28.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	1.6	1.65
3rd Period	2.0	2.67
Overtime	2.4	2.83


Even Strenght Goal	14
PP Goal	9
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	3	2
Lost	1	5
Overtime Lost	0	0


PP Attempt	41
PP Goal	9
PK Attempt	66
PK Goal Against	13

	Home
Shots For	27.7
Shots Against	32.3
Goals For	2.2
Goals Against	3.0
Hits	18.4
Shots Blocked	10.5
Pim	13.0

Schedule

Date	Matchup			Result	Detail
2019-10-04	Bruins	@	Stars	Bruins1,Stars3	RECAP
2019-10-06	Stars	@	Blues	Stars3,Blues2	RECAP
2019-10-07	Stars	@	Red Wings	Stars1,Red Wings3	RECAP
2019-10-09	Stars	@	Capitals	Stars0,Capitals4	RECAP
2019-10-11	Flames	@	Stars	Flames1,Stars2 (SO)	RECAP
2019-10-13	Capitals	@	Stars	Capitals1,Stars2 (SO)	RECAP
2019-10-15	Stars	@	Sabres	Stars3,Sabres5	RECAP
2019-10-17	Stars	@	Blue Jackets	Stars2,Blue Jackets4	RECAP
2019-10-19	Stars	@	Penguins	Stars4,Penguins2	RECAP
2019-10-20	Stars	@	Flyers	Stars1,Flyers3	RECAP
2019-10-22	Senators	@	Stars	Senators7,Stars3	RECAP
2019-10-25	Ducks	@	Stars
2019-10-27	Penguins	@	Stars
2019-10-30	Wild	@	Stars
2019-11-02	Stars	@	Avalanche
2019-11-03	Canadiens	@	Stars
2019-11-06	Avalanche	@	Stars
2019-11-11	Stars	@	Jets
2019-11-14	Stars	@	Flames
2019-11-15	Stars	@	Canucks
2019-11-17	Stars	@	Oilers
2019-11-20	Canucks	@	Stars
2019-11-22	Jets	@	Stars
2019-11-24	Blackhawks	@	Stars
2019-11-26	Golden Knights	@	Stars
2019-11-27	Stars	@	Blackhawks
2019-11-30	Blues	@	Stars
2019-12-02	Stars	@	Wild
2019-12-04	Stars	@	Jets
2019-12-06	Jets	@	Stars
2019-12-08	Islanders	@	Stars
2019-12-11	Devils	@	Stars
2019-12-14	Golden Knights	@	Stars
2019-12-15	Stars	@	Predators
2019-12-17	Oilers	@	Stars
2019-12-20	Stars	@	Lightning
2019-12-21	Stars	@	Panthers
2019-12-23	Flames	@	Stars
2019-12-29	Avalanche	@	Stars
2019-12-30	Stars	@	Coyotes
2020-01-02	Predators	@	Stars
2020-01-04	Red Wings	@	Stars
2020-01-09	Stars	@	Kings
2020-01-10	Stars	@	Ducks
2020-01-12	Stars	@	Sharks
2020-01-15	Stars	@	Avalanche
2020-01-17	Sabres	@	Stars
2020-01-19	Stars	@	Wild
2020-01-28	Lightning	@	Stars
2020-01-30	Maple Leafs	@	Stars
2020-02-02	Stars	@	Devils
2020-02-04	Stars	@	Rangers
2020-02-05	Stars	@	Islanders
2020-02-08	Wild	@	Stars
2020-02-09	Stars	@	Blues
2020-02-12	Hurricanes	@	Stars
2020-02-14	Stars	@	Maple Leafs
2020-02-16	Stars	@	Canadiens
2020-02-17	Stars	@	Senators
2020-02-20	Coyotes	@	Stars
2020-02-22	Blues	@	Stars
2020-02-24	Blackhawks	@	Stars
2020-02-26	Stars	@	Hurricanes
2020-02-28	Stars	@	Bruins
2020-03-01	Stars	@	Blues
2020-03-04	Oilers	@	Stars
2020-03-06	Stars	@	Predators
2020-03-08	Predators	@	Stars
2020-03-11	Rangers	@	Stars
2020-03-13	Panthers	@	Stars
2020-03-15	Sharks	@	Stars
2020-03-17	Stars	@	Coyotes
2020-03-18	Stars	@	Golden Knights
2020-03-21	Flyers	@	Stars
2020-03-23	Jets	@	Stars
2020-03-25	Kings	@	Stars
2020-03-28	Stars	@	Blackhawks
2020-03-29	Blue Jackets	@	Stars
2020-03-31	Canucks	@	Stars
2020-04-02	Stars	@	Ducks
2020-04-03	Stars	@	Sharks
2020-04-05	Stars	@	Kings

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
72,610,837$	0$	72,610,837$	6,889,163$

Arena	Goal Horn	About us
		Name	Americain Airlines Center
		City	Dallas
		Capacity	18000
		Season Ticket Holders	40%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100$	60$	35$	25$	200$
Attendance	23676	18914	7605	14891	3920
Attendance PCT	98.65%	94.57%	95.06%	93.07%	98.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
37	17252 - 95.84%	627,923$	2,511,693$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
72,610,837$	72,610,837$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
7,807,620$	72,610,837$	7,807,620$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
23,233,160$	166	390,381$	64,803,246$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
75,628,203$	72,610,837$	-271,893,179$	-324,288,222$

Depth Chart

Star Player

Franchise Player

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

J.T. Miller	AGE:25	USA
Alex Galchenyuk	AGE:24	USA
Anders Lee	AGE:28	USA
Scott Laughton	AGE:24	CAN
Brady Tkachuk	AGE:19	USA
Magnus Paajarvi	AGE:27	SWE
Nick Ritchie	AGE:22	CAN
Warren Foegele	AGE:22	CAN
Timothy Gettinger	AGE:20	USA
Boo Nieves	AGE:24	USA
Giovanni Fiore	AGE:22	CAN

Nathan MacKinnon	AGE:23	CAN
Ryan Nugent-Hopkins	AGE:25	CAN
Travis Zajac	AGE:33	CAN
J.T. Miller	AGE:25	USA
Alex Galchenyuk	AGE:24	USA
Scott Laughton	AGE:24	CAN
Michael McLeod	AGE:20	CAN
Brandon Gignac	AGE:20	CAN
Boo Nieves	AGE:24	USA
Oskar Sundqvist	AGE:24	SWE

J.T. Miller	AGE:25	USA
Josh Bailey	AGE:28	CAN
Mikko Rantanen	AGE:21	FIN
Buddy Robinson	AGE:27	USA
Sven Andrighetto	AGE:25	CHE

Defense #1

Defense #2

Goalie

Drew Doughty	AGE:28	CAN
Matt Niskanen	AGE:31	USA
Danny DeKeyser	AGE:28	USA
Michael Del Zotto	AGE:28	CAN
Jamie Oleksiak	AGE:25	CAN
Andreas Borgman	AGE:23	SWE

Victor Mete	AGE:20	CAN
Mirco Mueller	AGE:23	CHE
Josh Jacobs	AGE:22	USA
Jonas Siegenthaler	AGE:21	CHE
Kevin Gravel	AGE:26	USA
Philippe Myers	AGE:21	CAN

Ben Bishop	AGE:31	USA
Michal Neuvirth	AGE:30	CZE
Joey Daccord	AGE:22	USA
Joonas Korpisalo	AGE:24	FIN
Jack Campbell	AGE:26	USA
Jared Coreau	AGE:26	CAN

Draft Picks

Year	Ronde 1	Ronde 2	Ronde 3	Ronde 4	Ronde 5	Ronde 6	Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick
1 ballo dal 2020	Stars
2 ballo dal 2020	Stars
Aapeli Rasanen	Stars	2016	142
Adam Boqvist	Stars	2018	9
Adam Ginning	Stars	2018	66
Alban Eriksson	Stars	2018	48
Alexis Gravel	Stars	2018	97
Anthony Louis	Stars
Bogdan Yakimov	Stars
Borna Rendulic	Stars
Brent Moran	Stars
Carter Verhaeghe	Stars
Cédric Paré	Stars
Denis Smirnov	Stars
Dmitriy Zaitsev	Stars	2016	202
Dmitry Zavgorodniy	Stars	2018	159
Evan Smith	Stars
Frank Corrado	Stars
Gage Ausmus	Stars
German Rubtsov	Stars	2016	22
Hugo Alnefelt	Stars	2019	83
Jens Looke	Stars
Jim O'Brien	Stars
Jimmy Hayes	Stars
Jiri Sekac	Stars
Joachim Blichfeld	Stars	2016	205
Jonathan Dugan	Stars
Judd Caulfield	Stars	2019	107
Kevin Mandolese	Stars	2018	96
Kirill Slepets	Stars	2019	138
Kristian Roykas Marthinsen	Stars
Kyle Schempp	Stars
Linus Arnesson	Stars
Linus Soderstrom	Stars
MacKenzie Entwistle	Stars
Mads Sogaard	Stars	2019	45
Magnus Hellberg	Stars
Mark Fraser	Stars
Mason Raymond	Stars
Maxence Guenette	Stars	2019	169
Mikhail Grigorenko	Stars
Ostap Safin	Stars
Patrick Holway	Stars
Paul Bittner	Stars
Petter Granberg	Stars
Pierre Engvall	Stars
Ryan Fitzgerald	Stars
Serron Noel	Stars	2018	35
Shamil Shmakov	Stars	2018	190
Steven Johnson	Stars
Trent Miner	Stars	2019	200
Ty Emberson	Stars	2018	78
Tyler Wall	Stars	2016	172
Victor Brattstrom	Stars	2018	128
Victor Ejdsell	Stars
Victor Soderstrom	Stars	2019	13
Vladislav Kolyachonok	Stars	2019	76
francois brassard	Stars

News

Stars drafts Trent Miner as the #200 overall pick in the Entry Draft of year 2019.

Stars drafts Maxence Guenette as the #169 overall pick in the Entry Draft of year 2019.

Stars drafts Kirill Slepets as the #138 overall pick in the Entry Draft of year 2019.

Stars drafts Judd Caulfield as the #107 overall pick in the Entry Draft of year 2019.

Stars drafts Hugo Alnefelt as the #83 overall pick in the Entry Draft of year 2019.

Stars drafts Vladislav Kolyachonok as the #76 overall pick in the Entry Draft of year 2019.

Stars drafts Mads Sogaard as the #45 overall pick in the Entry Draft of year 2019.

Stars drafts Victor Soderstrom as the #13 overall pick in the Entry Draft of year 2019.

Team Name Change : Dallas Stars changed name to Stars

Injuries

No Injury or Suspension.

Game Center

Stars5-6-0, 10pts

13Final

Flyers5-0-2, 12pts

Senators3-4-1, 7pts

73Final

Stars5-6-0, 10pts

Ducks6-2-1, 13pts

Fri, Oct 25Americain Airlines Center

Stars5-6-0, 10pts

Penguins8-1-0, 16pts

Sun, Oct 27Americain Airlines Center

Stars5-6-0, 10pts

Wild5-3-0, 10pts

Wed, Oct 30Americain Airlines Center

Stars5-6-0, 10pts

Team Leaders

	GOALS Nathan MacKinnon 6			ASSISTS Nathan MacKinnon 6
	POINTS Nathan MacKinnon 12			PLUS/MINUS Anders Lee 4
	WINS Jack Campbell 3			SV% Ben Bishop 0.919

Team Stats

Goals For 24 2.18 GFG	Shots For 305 27.73 Avg	Power Play Percentage 22.0% 9 GF	Offensive Zone Start 48.1%
Goals Against 33 3.00 GAA	Shots Against 355 32.27 Avg	Penalty Kill Percentage 80.3% 13 GA	Defensive Zone Start 51.9%

Team Info


	General Manager	Roger Haché
	Head Coach
	Conference	Conference Ouest
	Division	Centrale

Stars Affiliation


	Team Name	Iowa
	City	Iowa
	Head Coach
	Division	Division 4

Arena Info


	Stadium	Americain Airlines Center
	Capacity	18,000
	Attendance	17,252
	Season Tickets	7,200

Salary Cap


	Total Cap Hit	72,610,837$
	Cap Hit Percentage	91.33%
	Projected Cap Space	6,889,163$
	Retains & Buyout	0$

Finance


	Team Revenue	2,511,693$
	Estimated Revenue	25,744,853$
	Estimated Expenses	72,610,866$
	Operating Income	-46,866,013$
	Bank Account	-271,893,179$

Team History


	2019	5-6-0 (10PTS)
	Record (W-L-OTL)	44-42-7 (70PTS)
	Playoff Appearances	0
	Playoff Record (W-L)	0-
	Stanley Cup	0