Dallas
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Seattle 59-18-5, 123pts	1	FINAL	2	Stars 50-27-5, 105pts

Team Stats
W3	Streak	W2
33-5-3	Home Record	25-14-2
26-13-2	Home Record	25-13-3
8-1-1	Last 10 Games	6-4-0
2.71	Goals Per Game	2.59
1.72	Goals Against Per Game	2.02
13.27%	Power Play Percentage	18.26%
89.47%	Penalty Kill Percentage	85.16%

Chiefs
47-27-8, 102pts

FINAL

Stars
50-27-5, 105pts

Team Stats
L2	Streak	W2
28-9-4	Home Record	25-14-2
19-18-4	Home Record	25-13-3
4-5-1	Last 10 Games	6-4-0
2.21	Goals Per Game	2.59
1.99	Goals Against Per Game	2.02
12.30%	Power Play Percentage	18.26%
87.64%	Penalty Kill Percentage	85.16%

Team Leaders
	Goals Nicolas Aube-Kubel 30	Assists Jake Bean 53

	Points Jake Bean 70	Plus/Minus Nathan Smith 33

	Wins Spencer Knight 42	Save Percentage Devin Cooley 0.894

Team Stats
Goals For 212 2.59 GFG	Shots For 1697 20.70 Avg	Power Play Percentage 18.3% 44 GF	Offensive Zone Start 39.6%
Goals Against 166 2.02 GAA	Shots Against 1437 17.52 Avg	Penalty Kill Percentage 85.2%% 38 GA	Defensive Zone Start 38.4%

Team Info
	General Manager	Julien Desrosiers
	Division	Nord
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 50
	Prospects	17

Show or Hide Columns

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	TA	SP	Age	Contract	Salary Average
1	Kaapo Kakko			X		100.00	65	43	92	79	86	85	81	81	40	75	74	72	78	64	54	0	50	74		0	21	1	925,002$
2	Max Comtois		X			100.00	74	73	63	73	86	84	82	75	54	70	68	64	72	69	59	0	50	70		0	23	2	1,950,000$
3	Nicolas Aube-Kubel			X		100.00	80	54	65	74	80	81	81	74	50	69	66	68	71	69	59	0	50	70	N	0	26	2	944,000$
4	Ondrej Kase			X		100.00	59	43	77	75	76	83	75	70	43	64	64	67	70	77	67	0	50	68		0	26	1	3,000,000$
5	Alexander Holtz (R)		X	X		100.00	58	45	72	72	77	74	61	67	41	62	63	59	68	56	50	0	50	63		0	20	1	925,000$
6	Linus Karlsson (R)			X		100.00	59	41	61	68	62	63	64	65	42	62	62	57	65	51	50	0	50	61		0	22	2	700,000$
7	Nathan Smith	X				100.00	57	47	69	69	65	69	63	64	44	61	58	54	63	52	50	0	50	60		0	23	2	650,000$
8	Egor Afanasyev (R)	X	X			100.00	65	46	69	66	68	63	62	63	42	59	57	61	62	50	50	0	50	60		0	21	3	789,167$
9	Filip Cederqvist (R)		X	X		100.00	63	44	67	64	65	62	62	60	41	57	56	60	60	50	50	0	50	59		0	22	3	850,000$
10	William Eklund (R)	X	X			100.00	56	44	64	67	59	57	57	63	42	62	59	54	63	50	50	0	50	59		0	19	3	894,167$
11	Jake Bean				X	100.00	62	43	75	77	79	86	73	72	40	68	64	70	71	69	59	0	50	70		0	24	1	2,450,000$
12	Kevin Gravel				X	100.00	63	45	78	69	78	80	76	66	40	60	58	68	64	76	66	0	50	67	N	0	30	1	620,000$
13	Thomas Harley (R)				X	100.00	67	43	75	71	74	67	62	67	40	63	60	69	66	51	50	0	50	65		0	21	1	894,167$
14	Alec Regula (R)				X	100.00	66	51	58	67	69	61	60	63	40	61	55	67	62	50	50	0	50	62		0	22	2	866,667$
15	Zachary Jones (R)				X	100.00	60	44	66	72	58	62	61	64	40	62	58	68	65	50	50	0	50	62		0	21	1	925,000$
16	William Trudeau (R)				X	100.00	63	51	62	69	63	57	57	63	40	62	57	66	63	50	50	0	50	61		0	19	3	856,667$
17	Albert Johansson (R)				X	100.00	56	40	65	69	59	61	61	61	40	57	57	60	62	50	50	0	50	59		0	21	3	820,000$
Scratches
1	Antonio Stranges (R)	X	X			100.00	60	40	68	67	61	57	57	58	51	56	54	59	59	50	50	0	50	58		0	20	2	560,000$
2	Niklas Nordgren (R)			X		100.00	44	43	78	63	63	33	36	35	48	32	29	42	34	50	50	0	50	43		0	22	2	700,000$

	TEAM AVERAGE					100.00	62	46	70	70	70	68	65	65	43	61	59	62	64	57	53	0	50	63

Show or Hide Columns

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	TA	SP	Age	Contract	Salary Average
1	Spencer Knight (R)	100.00	82	79	79	83	81	82	79	82	82	81	81	59	52	0	50	74		0	21	1	925,000$
2	Devin Cooley (R)	100.00	70	64	63	66	67	67	68	66	67	67	58	54	50	0	50	61	N	0	25	2	620,000$
Scratches
1	Philip Svedeback (R)	100.00	43	64	59	81	38	44	39	41	38	40	40	50	46	0	50	45		0	20	3	560,000$

	TEAM AVERAGE	100.00	65	69	67	77	62	64	62	63	62	63	60	54	49	0	50	60

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

Show or Hide Columns

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Jake Bean	Stars (Dal)	D	81	17	53	70	31	54	0	138	104	112	32	71	15.18%	77	1961	24.21	9	13	22	57	210	0	0	0	0	201	2	2	0%	0	0.71	0	1	0	0	8	4	9
2	Nicolas Aube-Kubel	Stars (Dal)	RW	81	30	31	61	23	67	5	221	120	202	47	166	14.85%	8	1601	19.77	8	8	16	33	191	0	0	0	0	128	8	0	54.92%	295	0.76	3	8	0	1	9	6	6
3	Max Comtois	Stars (Dal)	LW	75	26	31	57	23	53	5	158	121	216	53	145	12.04%	7	1652	22.03	8	5	13	35	188	0	0	0	3	196	5	2	50.00%	154	0.69	1	6	1	0	2	10	6
4	Kaapo Kakko	Stars (Dal)	RW	55	24	20	44	7	8	0	30	120	198	60	120	12.12%	9	1103	20.06	2	8	10	34	150	0	0	0	1	60	4	3	48.80%	250	0.80	4	7	0	0	5	1	0
5	Kevin Gravel	Stars (Dal)	D	81	6	35	41	29	32	0	110	59	71	18	54	8.45%	54	1708	21.09	2	10	12	33	212	0	1	1	3	211	2	0	0%	0	0.48	0	0	0	0	1	4	1
6	Ondrej Kase	Stars (Dal)	RW	81	29	12	41	7	10	0	58	120	185	45	133	15.68%	13	1287	15.89	1	2	3	7	53	0	0	0	0	74	5	3	57.95%	88	0.64	0	3	0	0	3	5	5
7	Thomas Harley	Stars (Dal)	D	82	3	32	35	4	30	0	124	54	60	12	36	5.00%	66	1592	19.42	2	9	11	33	180	0	0	0	1	182	0	0	0%	0	0.44	0	0	0	0	4	0	2
8	Alexander Holtz	Stars (Dal)	LW/RW	70	15	19	34	11	14	0	30	70	131	36	74	11.45%	6	1295	18.50	3	7	10	26	170	0	1	1	1	103	2	0	46.21%	132	0.52	0	2	0	0	2	3	3
9	Nathan Smith	Stars (Dal)	C	82	10	21	31	33	6	0	27	113	71	14	55	14.08%	3	1497	18.26	1	7	8	9	197	1	0	1	3	71	3	0	50.64%	1479	0.41	0	0	0	0	1	2	3
10	Egor Afanasyev	Stars (Dal)	C/LW	82	7	21	28	4	40	0	117	125	77	32	54	9.09%	5	1559	19.02	2	5	7	7	190	0	0	0	1	100	2	0	44.71%	1617	0.36	0	0	0	0	1	2	1
11	Alec Regula	Stars (Dal)	D	82	5	22	27	12	60	0	142	59	43	15	32	11.63%	38	1311	15.99	1	4	5	19	98	0	0	0	0	72	3	0	0%	0	0.41	0	0	0	0	2	1	4
12	William Eklund	Stars (Dal)	C/LW	82	4	19	23	3	20	0	48	101	83	24	40	4.82%	3	1152	14.05	0	0	0	0	11	0	0	0	1	50	1	0	48.33%	900	0.40	0	0	0	0	1	1	0
13	Zachary Jones	Stars (Dal)	D	82	6	15	21	-10	32	0	78	63	35	9	27	17.14%	45	1270	15.49	4	1	5	10	54	0	0	0	0	105	1	1	0%	1	0.33	0	0	0	0	0	2	1
14	William Trudeau	Stars (Dal)	D	82	4	16	20	4	57	5	103	58	23	3	9	17.39%	26	1068	13.03	0	0	0	1	9	0	0	0	0	48	1	0	0%	2	0.37	0	0	0	1	0	2	1
15	Filip Cederqvist	Stars (Dal)	LW/RW	82	6	11	17	0	30	0	94	54	68	21	41	8.82%	6	1157	14.12	0	0	0	0	4	0	0	0	0	51	1	0	52.44%	82	0.29	0	0	0	0	2	1	2
16	Linus Karlsson	Stars (Dal)	RW	82	10	6	16	0	24	0	97	88	92	32	82	10.87%	4	866	10.57	0	0	0	1	24	0	0	0	0	0	4	0	38.46%	52	0.37	0	1	0	0	2	0	0
17	Albert Johansson	Stars (Dal)	D	82	0	5	5	10	14	0	42	23	6	5	9	0%	16	552	6.73	0	0	0	0	5	0	0	0	0	17	0	0	0%	0	0.18	0	0	0	0	0	0	0
18	Antonio Stranges	Stars (Dal)	C/LW	1	0	0	0	0	0	0	4	1	0	1	0	0%	0	15	15.78	0	0	0	0	0	0	0	0	0	1	0	0	50.00%	6	0	0	0	0	0	0	0	0
19	Niklas Nordgren	Stars (Dal)	RW	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	14	14.43	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0
Team Total or Average				1346	202	369	571	191	551	15	1621	1453	1673	459	1148	12.07%	386	22668	16.84	43	79	122	305	1956	1	2	3	14	1680	44	11	48.35%	5059	0.50	8	28	1	2	43	44	44

Show or Hide Columns

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	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Knight	Stars (Dal)	70	42	23	5	0.887	1.91	4146	4	12	132	1168	1	1	0.778	27	70	0	4	3	3
2	Devin Cooley	Stars (Dal)	17	8	4	0	0.894	2.09	804	0	2	28	265	0	0	0.750	4	12	81	1	0	0
Team Total or Average			87	50	27	5	0.888	1.94	4951	4	14	160	1433	1	1		31	82	81	5	3	3

Show or Hide Columns

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	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Albert Johansson	Stars (Dal)	D	21	2001-01-04	Yes	168 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	820,000$	0$	0$	No	820,000$	820,000$	Link
Alec Regula	Stars (Dal)	D	22	2000-08-06	Yes	207 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	866,667$	0$	0$	No	866,667$		Link
Alexander Holtz	Stars (Dal)	LW/RW	20	2002-01-23	Yes	195 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Antonio Stranges	Stars (Dal)	C/LW	20	2002-02-05	Yes	181 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	560,000$	0$	0$	No	560,000$		Link
Devin Cooley (1 Way Contract)	Stars (Dal)	G	25	1997-05-25	Yes	192 Lbs	6 ft5	Yes	No	Yes	Yes	2	Pro & Farm	620,000$	0$	0$	No	620,000$		Link
Egor Afanasyev	Stars (Dal)	C/LW	21	2001-01-23	Yes	201 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	789,167$	0$	0$	No	789,167$	789,167$	Link
Filip Cederqvist	Stars (Dal)	LW/RW	22	2000-08-23	Yes	196 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	Link
Jake Bean	Stars (Dal)	D	24	1998-06-09	No	196 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	2,450,000$	0$	0$	No			Link
Kaapo Kakko	Stars (Dal)	RW	21	2001-02-13	No	206 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	925,002$	0$	0$	No			Link
Kevin Gravel (1 Way Contract)	Stars (Dal)	D	30	1992-03-06	No	205 Lbs	6 ft4	Yes	No	Yes	Yes	1	Pro & Farm	620,000$	0$	0$	No			Link
Linus Karlsson	Stars (Dal)	RW	22	1999-11-16	Yes	179 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Link
Max Comtois	Stars (Dal)	LW	23	1999-01-08	No	210 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	1,950,000$	0$	0$	No	1,950,000$		Link
Nathan Smith	Stars (Dal)	C	23	1998-10-19	No	176 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$		Link
Nicolas Aube-Kubel (1 Way Contract)	Stars (Dal)	RW	26	1996-05-10	No	207 Lbs	6 ft0	Yes	No	Yes	Yes	2	Pro & Farm	944,000$	44,000$	0$	No	944,000$		Link
Niklas Nordgren	Stars (Dal)	RW	22	2000-05-04	Yes	183 Lbs	5 ft9	No	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Link
Ondrej Kase	Stars (Dal)	RW	26	1995-11-08	No	187 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	3,000,000$	0$	0$	No			Link
Philip Svedeback	Stars (Dal)	G	20	2002-05-28	Yes	205 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	560,000$	0$	0$	No	560,000$	560,000$	Link
Spencer Knight	Stars (Dal)	G	21	2001-04-19	Yes	192 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Thomas Harley	Stars (Dal)	D	21	2001-08-19	Yes	205 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	894,167$	0$	0$	No			Link
William Eklund	Stars (Dal)	C/LW	19	2002-10-12	Yes	176 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$
William Trudeau	Stars (Dal)	D	19	2002-10-11	Yes	190 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	856,667$	0$	0$	No	856,667$	856,667$
Zachary Jones	Stars (Dal)	D	21	2000-10-18	Yes	174 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	22.23	192 Lbs	6 ft1	1.91	1,019,311$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Max Comtois	Nathan Smith	Kaapo Kakko	40	1	2	2
2	Alexander Holtz	Egor Afanasyev	Nicolas Aube-Kubel	30	1	2	2
3	Filip Cederqvist	William Eklund	Ondrej Kase	20	1	2	2
4	Nicolas Aube-Kubel	Kaapo Kakko	Linus Karlsson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Kevin Gravel	40	1	2	2
2	Thomas Harley	Zachary Jones	30	1	2	2
3	Alec Regula	William Trudeau	20	1	2	2
4	Albert Johansson	Jake Bean	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Max Comtois	Nathan Smith	Kaapo Kakko	60	1	2	2
2	Alexander Holtz	Egor Afanasyev	Nicolas Aube-Kubel	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Kevin Gravel	60	1	2	2
2	Thomas Harley	Zachary Jones	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kaapo Kakko	Nicolas Aube-Kubel	60	1	2	2
2	Max Comtois	Ondrej Kase	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Kevin Gravel	60	1	2	2
2	Thomas Harley	Zachary Jones	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kaapo Kakko	60	1	2	2	Jake Bean	Kevin Gravel	60	1	2	2
2	Nicolas Aube-Kubel	40	1	2	2	Thomas Harley	Zachary Jones	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kaapo Kakko	Nicolas Aube-Kubel	60	1	2	2
2	Max Comtois	Ondrej Kase	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Kevin Gravel	60	1	2	2
2	Thomas Harley	Zachary Jones	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Max Comtois	Nathan Smith	Kaapo Kakko	Jake Bean	Kevin Gravel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Max Comtois	Nathan Smith	Kaapo Kakko	Jake Bean	Kevin Gravel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Linus Karlsson, William Eklund, Filip Cederqvist	Linus Karlsson, William Eklund	Filip Cederqvist

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Alec Regula, William Trudeau, Albert Johansson	Alec Regula	William Trudeau, Albert Johansson

Penalty Shots
Kaapo Kakko, Nicolas Aube-Kubel, Max Comtois, Ondrej Kase, Alexander Holtz

Goalie
#1 : Spencer Knight, #2 : Devin Cooley

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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	Admirals	3	1	1	0	0	0	1	0	7	5	2	1	0	0	0	0	0	1	0	3	2	1	2	1	1	0	0	0	0	0	4	3	1	4	0.667	7	11	18	0	1	83	68	53	12	69	558	571	537	60	62	13	27	59	12	0	0.00%	10	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
2	Baby Hawks	4	2	1	0	0	0	0	1	7	8	-1	2	1	0	0	0	0	0	1	3	3	0	2	1	1	0	0	0	0	0	4	5	-1	5	0.625	7	13	20	0	1	83	68	53	12	52	558	571	537	60	82	23	30	84	6	1	16.67%	15	3	80.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
3	Bears	2	1	0	0	0	0	1	0	8	4	4	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	12	20	0	0	83	68	53	12	37	558	571	537	60	27	6	18	34	3	2	66.67%	9	3	66.67%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
4	Bruins	2	1	0	0	1	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	6	10	16	0	0	83	68	53	12	39	558	571	537	60	33	7	10	34	7	0	0.00%	3	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
5	Cabaret Lady Mary Ann	2	0	1	0	0	0	1	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	1	0	1	0	1	2	0.500	2	2	4	0	1	83	68	53	12	32	558	571	537	60	37	8	18	27	7	0	0.00%	9	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
6	Caroline	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	6	12	18	0	0	83	68	53	12	43	558	571	537	60	35	7	17	46	10	0	0.00%	6	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
7	Chiefs	4	2	0	0	0	1	0	1	5	4	1	2	1	0	0	0	0	0	1	4	3	1	2	1	0	0	0	1	0	0	1	1	0	6	0.750	5	10	15	0	1	83	68	53	12	55	558	571	537	60	71	32	36	94	8	1	12.50%	15	1	93.33%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
8	Chill	4	1	3	0	0	0	0	0	7	9	-2	2	0	2	0	0	0	0	0	2	5	-3	2	1	1	0	0	0	0	0	5	4	1	2	0.250	7	12	19	0	0	83	68	53	12	80	558	571	537	60	69	11	36	73	11	2	18.18%	17	5	70.59%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
9	Comets	3	2	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	2	0	2	2	1	1	0	0	0	0	0	5	5	0	4	0.667	7	13	20	0	1	83	68	53	12	69	558	571	537	60	39	8	12	59	16	5	31.25%	6	2	66.67%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
10	Cougars	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	10	16	0	0	83	68	53	12	35	558	571	537	60	41	15	12	32	5	2	40.00%	6	3	50.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
11	Crunch	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	0	5	4	1.000	9	16	25	0	1	83	68	53	12	58	558	571	537	60	36	10	12	42	5	2	40.00%	6	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
12	Heat	3	3	0	0	0	0	0	0	16	6	10	1	1	0	0	0	0	0	0	8	3	5	2	2	0	0	0	0	0	0	8	3	5	6	1.000	16	28	44	0	0	83	68	53	12	85	558	571	537	60	75	32	22	80	5	2	40.00%	11	2	81.82%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
13	Jayhawks	3	2	0	0	1	0	0	0	17	8	9	2	2	0	0	0	0	0	0	12	4	8	1	0	0	0	1	0	0	0	5	4	1	6	1.000	17	34	51	0	0	83	68	53	12	111	558	571	537	60	53	17	14	84	4	3	75.00%	7	2	71.43%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
14	Las Vegas	3	3	0	0	0	0	0	0	8	2	6	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	1	0	1	6	1.000	8	16	24	0	2	83	68	53	12	75	558	571	537	60	33	9	14	44	6	1	16.67%	6	1	83.33%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
15	Manchots	2	0	1	0	0	0	1	0	3	4	-1	1	0	0	0	0	0	1	0	1	0	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	3	4	7	0	1	83	68	53	12	42	558	571	537	60	31	6	8	54	6	2	33.33%	4	1	75.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
16	Marlies	2	1	0	0	0	0	1	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	1	0	2	1	1	4	1.000	5	8	13	0	0	83	68	53	12	39	558	571	537	60	34	12	16	46	7	1	14.29%	8	1	87.50%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
17	Minnesota	3	3	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	3	2	1	2	2	0	0	0	0	0	0	7	4	3	6	1.000	10	20	30	0	0	83	68	53	12	63	558	571	537	60	55	13	10	65	10	1	10.00%	5	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
18	Monarchs	3	2	0	0	0	0	0	1	9	4	5	2	2	0	0	0	0	0	0	7	1	6	1	0	0	0	0	0	0	1	2	3	-1	5	0.833	9	17	26	0	1	83	68	53	12	72	558	571	537	60	38	4	16	55	11	3	27.27%	8	2	75.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
19	Monsters	2	0	2	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	83	68	53	12	36	558	571	537	60	37	13	14	31	4	0	0.00%	7	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
20	Monsters	4	1	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	0	7	-7	2	1	1	0	0	0	0	0	5	4	1	2	0.250	5	10	15	0	1	83	68	53	12	69	558	571	537	60	74	16	30	79	10	1	10.00%	15	4	73.33%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
21	Oceanics	4	0	4	0	0	0	0	0	3	13	-10	2	0	2	0	0	0	0	0	2	7	-5	2	0	2	0	0	0	0	0	1	6	-5	0	0.000	3	5	8	1	0	83	68	53	12	59	558	571	537	60	74	25	32	75	9	0	0.00%	12	1	91.67%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
22	Oil Kings	3	3	0	0	0	0	0	0	9	3	6	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	1	0	1	6	1.000	9	18	27	0	2	83	68	53	12	56	558	571	537	60	37	20	26	49	14	3	21.43%	12	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
23	Phantoms	2	0	1	0	0	0	0	1	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	4	6	10	0	0	83	68	53	12	27	558	571	537	60	30	13	6	38	8	2	25.00%	3	1	66.67%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
24	Rocket	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	18	28	0	0	83	68	53	12	47	558	571	537	60	33	13	12	52	7	2	28.57%	6	0	100.00%	1	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
25	Sags	3	1	2	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	6	-4	2	1	1	0	0	0	0	0	6	5	1	2	0.333	8	15	23	0	0	83	68	53	12	61	558	571	537	60	51	9	28	67	13	4	30.77%	14	2	85.71%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
26	Seattle	3	1	1	0	1	0	0	0	6	6	0	2	1	1	0	0	0	0	0	3	4	-1	1	0	0	0	1	0	0	0	3	2	1	4	0.667	6	12	18	0	0	83	68	53	12	63	558	571	537	60	54	12	16	40	10	1	10.00%	8	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
27	Senators	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	12	19	0	0	83	68	53	12	48	558	571	537	60	32	9	10	48	9	2	22.22%	4	1	75.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
28	Sound Tigers	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	4	7	0	0	83	68	53	12	37	558	571	537	60	37	6	10	29	7	1	14.29%	5	3	40.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
29	Spiders	2	2	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	4	7	11	0	1	83	68	53	12	32	558	571	537	60	38	8	20	39	6	0	0.00%	10	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
30	Thunder	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	11	17	28	0	0	83	68	53	12	64	558	571	537	60	52	10	6	47	0	0	0%	3	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
31	Wolf Pack	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	8	12	0	0	83	68	53	12	42	558	571	537	60	37	21	27	49	5	0	0.00%	6	0	100.00%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
	Total	82	42	27	0	3	1	5	4	212	166	46	41	22	14	0	0	0	3	2	109	85	24	41	20	13	0	3	1	2	2	103	81	22	105	0.640	212	380	592	1	14	83	68	53	12	1697	558	571	537	60	1437	408	565	1655	241	44	18.26%	256	38	85.16%	1	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
	_Since Last GM Reset	82	42	27	0	3	1	5	4	212	166	46	41	22	14	0	0	0	3	2	109	85	24	41	20	13	0	3	1	2	2	103	81	22	105	0.640	212	380	592	1	14	83	68	53	12	1697	558	571	537	60	1437	408	565	1655	241	44	18.26%	256	38	85.16%	1	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
	_Vs Conference	43	27	10	0	2	1	1	2	123	81	42	22	15	5	0	0	0	0	2	68	44	24	21	12	5	0	2	1	1	0	55	37	18	63	0.733	123	232	355	0	10	83	68	53	12	913	558	571	537	60	755	235	281	877	123	25	20.33%	133	18	86.47%	1	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532
	_Vs Division	26	7	4	0	0	0	0	0	54	59	-5	13	3	2	0	0	0	0	0	26	31	-5	13	4	2	0	0	0	0	0	28	28	0	14	0.269	54	104	158	1	3	83	68	53	12	489	558	571	537	60	478	137	188	554	58	9	15.52%	86	16	81.40%	0	1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%	2159	1550	1789	559	1027	532

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	105	W2	212	380	592	1697	1437	408	565	1655	1	14

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	27	3	1	5	4	212	166

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	14	0	0	3	2	109	85

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	13	3	1	2	2	103	81

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	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
241	44	18.26%	256	38	85.16%	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
558	571	537	60	83	68	53	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1002	2103	47.65%	969	2041	47.48%	551	1169	47.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2159	1550	1789	559	1027	532

Last Played Games Show or Hide Columns

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
3 - 2023-10-12	13	Chiefs	2	Stars	1	BL	X	X	BoxScore
8 - 2023-10-17	48	Stars	1	Las Vegas	0	AW			BoxScore
10 - 2023-10-19	59	Stars	2	Admirals	3	AL			BoxScore
12 - 2023-10-21	72	Phantoms	3	Stars	1	BL			BoxScore
15 - 2023-10-24	88	Stars	2	Manchots	4	AL			BoxScore
17 - 2023-10-26	108	Marlies	1	Stars	3	BW			BoxScore
21 - 2023-10-30	136	Monsters	2	Stars	0	BL			BoxScore
23 - 2023-11-01	142	Stars	3	Heat	1	AW			BoxScore
24 - 2023-11-02	152	Stars	1	Oil Kings	0	AW			BoxScore
26 - 2023-11-04	172	Stars	4	Comets	2	AW			BoxScore
28 - 2023-11-06	178	Bruins	1	Stars	3	BW			BoxScore
31 - 2023-11-09	194	Stars	0	Monsters	2	AL			BoxScore
33 - 2023-11-11	211	Stars	1	Oceanics	3	AL			BoxScore
34 - 2023-11-12	223	Stars	4	Minnesota	2	AW			BoxScore
36 - 2023-11-14	233	Jayhawks	2	Stars	6	BW			BoxScore
40 - 2023-11-18	264	Monsters	4	Stars	0	BL			BoxScore
42 - 2023-11-20	274	Wolf Pack	3	Stars	2	BL			BoxScore
44 - 2023-11-22	289	Las Vegas	2	Stars	5	BW			BoxScore
46 - 2023-11-24	305	Heat	3	Stars	8	BW			BoxScore
50 - 2023-11-28	332	Stars	0	Oceanics	3	AL			BoxScore
52 - 2023-11-30	351	Stars	5	Heat	2	AW			BoxScore
54 - 2023-12-02	356	Thunder	2	Stars	5	BW			BoxScore
56 - 2023-12-04	375	Stars	6	Thunder	1	AW			BoxScore
58 - 2023-12-06	388	Stars	1	Cabaret Lady Mary Ann	0	AW	X	X	BoxScore
59 - 2023-12-07	396	Stars	5	Bears	2	AW			BoxScore
61 - 2023-12-09	410	Las Vegas	0	Stars	2	BW			BoxScore
63 - 2023-12-11	430	Cougars	5	Stars	3	BL			BoxScore
67 - 2023-12-15	458	Senators	3	Stars	4	BW			BoxScore
68 - 2023-12-16	469	Stars	1	Chiefs	0	AW			BoxScore
70 - 2023-12-18	482	Seattle	3	Stars	1	BL			BoxScore
73 - 2023-12-21	505	Comets	0	Stars	2	BW			BoxScore
75 - 2023-12-23	514	Stars	1	Chill	3	AL			BoxScore
79 - 2023-12-27	536	Stars	0	Chiefs	1	AL	X		BoxScore
81 - 2023-12-29	551	Baby Hawks	0	Stars	1	BW			BoxScore
83 - 2023-12-31	572	Baby Hawks	3	Stars	2	BL	X	X	BoxScore
85 - 2024-01-02	577	Rocket	2	Stars	5	BW			BoxScore
87 - 2024-01-04	593	Monsters	3	Stars	0	BL			BoxScore
89 - 2024-01-06	614	Chill	3	Stars	1	BL			BoxScore
91 - 2024-01-08	623	Stars	3	Minnesota	2	AW			BoxScore
93 - 2024-01-10	636	Minnesota	2	Stars	3	BW			BoxScore
95 - 2024-01-12	651	Chill	2	Stars	1	BL			BoxScore
96 - 2024-01-13	664	Stars	3	Baby Hawks	1	AW			BoxScore
99 - 2024-01-16	684	Monarchs	0	Stars	3	BW			BoxScore
101 - 2024-01-18	694	Stars	3	Phantoms	4	AL	X	X	BoxScore
103 - 2024-01-20	712	Stars	3	Spiders	2	AW			BoxScore
104 - 2024-01-21	721	Stars	1	Sound Tigers	3	AL			BoxScore
106 - 2024-01-23	730	Stars	3	Cougars	4	AL			BoxScore
108 - 2024-01-25	751	Admirals	2	Stars	3	BW	X	X	BoxScore
110 - 2024-01-27	760	Bears	2	Stars	3	BW	X	X	BoxScore
120 - 2024-02-06	784	Stars	5	Crunch	0	AW			BoxScore
121 - 2024-02-07	792	Stars	2	Marlies	1	AW	X	X	BoxScore
124 - 2024-02-10	806	Stars	5	Rocket	1	AW			BoxScore
127 - 2024-02-13	830	Caroline	1	Stars	5	BW			BoxScore
129 - 2024-02-15	847	Stars	4	Chill	1	AW			BoxScore
131 - 2024-02-17	850	Oil Kings	0	Stars	4	BW			BoxScore
133 - 2024-02-19	868	Stars	3	Bruins	2	AW	X		BoxScore
134 - 2024-02-20	877	Stars	2	Wolf Pack	1	AW			BoxScore
136 - 2024-02-22	892	Stars	3	Senators	1	AW			BoxScore
138 - 2024-02-24	909	Stars	1	Caroline	4	AL			BoxScore
140 - 2024-02-26	924	Sound Tigers	3	Stars	2	BL			BoxScore
141 - 2024-02-27	936	Stars	2	Monsters	4	AL			BoxScore
143 - 2024-02-29	947	Oceanics	3	Stars	1	BL			BoxScore
145 - 2024-03-02	966	Sags	6	Stars	2	BL			BoxScore
148 - 2024-03-05	989	Stars	5	Sags	3	AW			BoxScore
151 - 2024-03-08	1007	Stars	2	Admirals	0	AW			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2024-03-09	1021	Stars	2	Monarchs	3	AL	X	X	BoxScore
155 - 2024-03-12	1036	Cabaret Lady Mary Ann	3	Stars	1	BL			BoxScore
157 - 2024-03-14	1053	Spiders	0	Stars	1	BW			BoxScore
159 - 2024-03-16	1068	Monarchs	1	Stars	4	BW			BoxScore
163 - 2024-03-20	1096	Jayhawks	2	Stars	6	BW			BoxScore
165 - 2024-03-22	1110	Manchots	0	Stars	1	BW	X	X	BoxScore
167 - 2024-03-24	1130	Stars	5	Jayhawks	4	AW	X		BoxScore
169 - 2024-03-26	1147	Stars	1	Sags	2	AL			BoxScore
171 - 2024-03-28	1163	Stars	1	Comets	3	AL			BoxScore
173 - 2024-03-30	1178	Stars	3	Seattle	2	AW	X		BoxScore
177 - 2024-04-03	1199	Oil Kings	3	Stars	4	BW			BoxScore
180 - 2024-04-06	1220	Stars	1	Baby Hawks	4	AL			BoxScore
181 - 2024-04-07	1236	Stars	3	Monsters	0	AW			BoxScore
183 - 2024-04-09	1246	Crunch	2	Stars	4	BW			BoxScore
185 - 2024-04-11	1262	Oceanics	4	Stars	1	BL			BoxScore
187 - 2024-04-13	1271	Seattle	1	Stars	2	BW			BoxScore
191 - 2024-04-17	1305	Chiefs	1	Stars	3	BW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	20	5
Attendance	81,989	41,000
Attendance PCT	99.99%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	3000 - 99.99%	53,994$	2,213,736$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,115,026$	2,024,085$	2,024,085$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,542$	2,115,026$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	10,542$	0$

Stars Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Stars Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Stars Career Team Stats

Show or Hide Columns

	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

Stars Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Stars Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Stars
	GP: 82 \| W: 50 \| L: 27 \| OTL: 5 \| P: 105 GF: 212 \| GA: 166 \| PP%: 18.26% \| PK%: 85.16% GM : Julien Desrosiers \| Morale : 50 \| Team Overall : 62