Ligue de Hockey Simulé de l'Estrie

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

Game Center
	Comets 58-17-7, 123pts	2	FINAL	1	Silver Knights 46-32-4, 96pts

Team Stats
W4	Streak	W1
28-9-4	Home Record	25-14-2
30-8-3	Away Record	21-18-2
7-2-1	Last 10 Games	4-4-2
3.95	Goals Per Game	3.55
2.45	Goals Against Per Game	2.78
56.57%	Power Play Percentage	52.66%
62.78%	Penalty Kill Percentage	57.38%

Silver Knights
46-32-4, 96pts

FINAL

Jarrets Noirs
31-41-10, 72pts

Team Stats
W1	Streak	L3
25-14-2	Home Record	16-17-8
21-18-2	Away Record	15-24-2
4-4-2	Last 10 Games	2-8-0
3.55	Goals Per Game	2.90
2.78	Goals Against Per Game	3.83
52.66%	Power Play Percentage	38.79%
57.38%	Penalty Kill Percentage	52.51%

Team Leaders




	Wins Michael Houser 41	Save Percentage Michael Houser 0.904

Team Stats
Goals For 291 3.55 GFG	Shots For 2807 34.23 Avg	Power Play Percentage 52.7% 188 GF	Offensive Zone Start 38.3%
Goals Against 228 2.78 GAA	Shots Against 2338 28.51 Avg	Penalty Kill Percentage 57.4% 127 GA	Defensive Zone Start 34.6%

Team Info
	General Manager	Pat Lacelle
	Coach	Jim Playfair
	Division	Ouest
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2	Joe Veleno
Arena Info
	Capacity	3,000
	Attendance	2,887
	Season Tickets	300
Roster Info
	Pro Team	25
	Farm Team	21
	Contract Limit	46 / 75
	Prospects	59

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 Average
1	Oliver Wahlstrom			X		100.00	77	40	79	84	56	73	85	57	48	48	51	62	56	48	64	0	47	65	0	22	2	1,000,000$
2	Colin Blackwell	X				100.00	78	35	90	84	55	70	72	56	55	48	50	67	50	69	75	0	47	65	0	29	3	950,000$
3	Steven Lorentz	X				100.00	72	34	93	83	62	70	81	48	57	47	49	58	49	60	68	0	50	62	0	26	1	825,000$
4	Jujhar Khaira		X			100.00	98	46	81	82	51	67	57	47	60	46	49	71	49	66	77	0	50	62	0	28	2	800,000$
5	Joe Snively (R)	X				100.00	61	35	94	86	64	58	25	54	48	47	49	63	49	60	67	0	50	60	0	26	4	800,000$
6	Ty Dellandrea	X				100.00	67	35	94	83	46	60	36	45	49	46	49	61	49	48	61	0	50	57	0	22	1	850,000$
7	Riley Barber			X		100.00	63	33	93	82	59	56	41	43	48	44	48	60	48	66	69	0	50	57	0	28	2	650,000$
8	Connor Bunnaman	X				100.00	66	33	95	81	47	60	28	44	53	45	49	61	49	54	64	0	50	56	0	24	3	575,000$
9	Trey Fix-Wolansky (R)			X		100.00	61	35	95	82	65	56	25	41	47	45	45	64	46	51	61	0	50	55	0	23	3	625,000$
10	Vladimir Tkachev (R)		X			100.00	60	32	95	87	42	56	25	41	49	46	45	59	46	63	67	0	50	55	0	27	4	800,000$
11	Pontus Aberg		X			100.00	49	31	95	83	61	52	25	45	42	42	48	55	49	69	67	0	50	55	0	29	2	750,000$
12	Rasmus Sandin				X	100.00	75	31	94	87	57	65	56	57	47	49	40	56	50	51	62	0	50	63	0	22	3	900,000$
13	Jacob Larsson				X	100.00	64	31	94	85	53	63	54	48	48	48	38	63	50	60	65	0	50	61	0	25	1	1,000,000$
14	Linus Hogberg (R)				X	100.00	60	31	95	87	62	52	25	44	48	45	37	62	38	57	63	0	50	57	0	24	3	750,000$
15	Chase Priskie (R)				X	100.00	61	31	95	84	57	51	25	42	48	45	37	53	38	63	64	0	50	55	0	26	4	800,000$
16	Daniil Miromanov (R)				X	100.00	61	31	95	83	58	52	25	43	48	45	37	54	38	60	63	0	50	55	0	25	4	800,000$
Scratches
1	Arttu Ruotsalainen (R)	X				100.00	62	33	95	83	54	59	25	42	51	46	46	66	52	57	65	0	50	56	0	25	1	750,000$
2	Valtteri Puustinen (R)			X		100.00	60	32	95	83	43	55	25	41	47	45	45	58	46	51	60	0	50	54	0	23	3	625,000$
3	Ben Jones (R)	X				100.00	61	32	95	84	45	55	25	40	47	45	45	58	46	51	60	0	50	53	0	23	3	625,000$
4	Libor Hajek				X	100.00	64	32	93	83	58	61	47	47	48	48	38	57	50	57	63	0	50	59	0	24	3	875,000$
5	Artemi Kniazev (R)				X	100.00	60	30	95	85	51	50	25	42	47	45	37	61	38	48	58	0	50	55	0	21	3	725,000$
6	Kristians Rubins (R)				X	100.00	62	31	95	80	59	51	25	42	48	45	37	52	58	60	63	0	50	54	0	25	4	800,000$
7	Trevor Carrick (R)				X	100.00	55	42	84	83	54	47	23	38	43	41	34	52	34	69	65	0	50	51	0	28	2	650,000$

	TEAM AVERAGE					100.00	65	34	93	84	55	58	38	46	49	46	44	60	47	58	65	0	50	57

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	Jonas Johansson	100.00	63	42	87	82	73	78	74	68	70	49	57	61	56	0	50	62	0
2	Artyom Zagidulin (R)	100.00	54	26	61	65	69	67	64	62	65	32	52	61	53	0	50	50	0
Scratches

	TEAM AVERAGE	100.00	59	34	74	74	71	73	69	65	68	41	55	61	55	0	50	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Playfair	76	75	80	79	72	73	67	CAN	58	2	1,100,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Rasmus Sandin	Silver Knights (VGK)	D	77	42	62	104	-5	32	115	86	284	115	133	14.79%	83	1707	22.18	41	45	86	83	216	0	0	0	0	10	6	3	0.00%	0	47	105	0	1	1.22	1	1	11	8	8
2	Jacob Larsson	Silver Knights (VGK)	D	82	34	62	96	-5	24	101	104	268	105	117	12.69%	143	2047	24.97	32	50	82	75	229	0	0	0	12	217	6	1	0.00%	0	59	164	1	2	0.94	0	1	5	10	9
3	Libor Hajek	Silver Knights (VGK)	D	74	30	38	68	8	14	47	77	261	119	108	11.49%	60	1554	21.01	29	20	49	63	151	0	3	3	7	119	4	0	0.00%	0	29	84	0	0	0.87	0	1	8	8	2
4	Oliver Wahlstrom	Silver Knights (VGK)	RW	27	24	22	46	4	34	48	24	133	44	73	18.05%	12	520	19.29	14	18	32	26	72	0	0	0	1	8	5	2	56.76%	37	40	22	1	1	1.77	0	1	6	3	0
5	Colin Blackwell	Silver Knights (VGK)	C	29	14	30	44	8	8	53	44	117	31	69	11.97%	14	606	20.90	10	24	34	12	82	1	0	1	4	40	3	0	55.01%	789	35	39	0	0	1.45	0	1	3	6	4
6	Steven Lorentz	Silver Knights (VGK)	C	82	15	21	36	0	10	87	89	286	104	201	5.24%	15	1237	15.10	2	6	8	6	65	0	0	0	0	4	3	0	55.37%	1098	158	36	0	0	0.58	0	4	2	1	6
7	Jujhar Khaira	Silver Knights (VGK)	LW	29	13	13	26	5	32	70	41	88	27	54	14.77%	11	619	21.36	7	9	16	11	81	0	0	0	3	56	1	1	58.33%	48	38	27	0	0	0.84	1	1	1	4	3
8	Riley Barber	Silver Knights (VGK)	RW	34	6	8	14	-3	18	31	20	60	34	40	10.00%	13	501	14.75	3	3	6	4	51	0	0	0	0	0	1	1	47.62%	21	25	17	0	0	0.56	0	0	2	0	1
9	Chase Priskie	Silver Knights (VGK)	D	82	0	12	12	-3	12	33	34	86	47	46	0.00%	43	1096	13.37	0	0	0	1	7	0	0	0	0	41	0	0	100.00%	1	9	53	0	0	0.22	0	0	0	1	1
10	Linus Hogberg	Silver Knights (VGK)	D	32	3	9	12	3	2	32	36	43	19	11	6.98%	30	659	20.61	1	3	4	4	55	0	0	0	0	77	1	0	0.00%	0	8	44	0	0	0.36	0	0	0	1	0
11	Ben Jones	Silver Knights (VGK)	C	22	4	7	11	5	2	18	16	26	12	22	15.38%	5	326	14.84	2	3	5	2	32	0	0	0	0	0	1	0	33.33%	15	18	12	0	0	0.67	0	0	1	0	1
12	Daniil Miromanov	Silver Knights (VGK)	D	52	3	7	10	-1	8	20	29	55	34	28	5.45%	24	779	14.99	2	0	2	2	14	0	0	0	4	70	0	0	0.00%	0	14	51	0	0	0.26	0	0	0	0	1
13	Trey Fix-Wolansky	Silver Knights (VGK)	RW	74	2	7	9	-2	6	48	46	87	27	45	2.30%	12	792	10.71	1	0	1	1	6	0	0	0	3	28	0	0	48.48%	33	41	35	0	0	0.23	0	0	0	0	0
14	Connor Bunnaman	Silver Knights (VGK)	C	82	1	7	8	-6	12	49	30	60	19	26	1.67%	11	556	6.78	0	3	3	0	9	0	0	0	0	26	1	0	58.33%	36	24	23	0	0	0.29	0	1	0	0	0
15	Pontus Aberg	Silver Knights (VGK)	LW	82	2	5	7	-4	6	31	32	154	44	77	1.30%	15	860	10.50	0	0	0	0	3	0	0	0	1	23	0	0	42.22%	45	80	26	0	0	0.16	1	2	0	0	1
16	Ty Dellandrea	Silver Knights (VGK)	C	82	3	2	5	-6	10	39	35	79	19	46	3.80%	7	508	6.20	0	0	0	0	3	0	0	0	0	1	2	1	51.07%	374	40	23	0	0	0.20	1	1	0	2	1
17	Arttu Ruotsalainen	Silver Knights (VGK)	C	77	4	1	5	-4	0	22	28	26	8	19	15.38%	13	468	6.09	0	0	0	1	6	0	0	0	0	3	1	1	54.17%	24	13	17	0	0	0.21	0	3	0	0	1
18	Joe Snively	Silver Knights (VGK)	C	29	3	1	4	1	8	41	47	59	18	34	5.08%	13	394	13.61	0	0	0	0	4	0	0	0	2	65	0	0	57.35%	272	22	24	0	0	0.20	0	0	0	0	2
19	Vladimir Tkachev	Silver Knights (VGK)	LW	11	2	2	4	-8	4	12	8	35	15	29	5.71%	2	189	17.24	2	2	4	4	30	0	0	0	0	7	0	0	66.67%	9	22	4	0	0	0.42	0	0	0	0	0
Team Total or Average				1059	205	316	521	-13	242	897	826	2207	841	1178	9.29%	526	15428	14.57	146	186	332	295	1125	1	3	4	37	803	35	10	54.57%	2802	722	806	2	4	0.68	4	17	39	44	41

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Michael Houser	GoldenKnights	68	41	24	2	0.904	2.74	4056	4	1	185	1934	959	6	1	0.813	16	68	0	5	4	5
2	Jonas Johansson	Silver Knights (VGK)	16	5	8	2	0.901	2.69	893	0	1	40	403	212	3	0	0.000	2	14	82	1	0	0
Team Total or Average			84	46	32	4	0.904	2.73	4949	4	2	225	2337	1171	9	1	0.722	18	82	82	6	4	5

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 Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Artemi Kniazev	Silver Knights (VGK)	D	21	2001-01-01	Yes	178 Lbs	5 ft11	No	No	No	3	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$
Arttu Ruotsalainen	Silver Knights (VGK)	C	25	1997-01-01	Yes	187 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Artyom Zagidulin	Silver Knights (VGK)	G	27	1995-01-01	Yes	180 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$
Ben Jones	Silver Knights (VGK)	C	23	1999-01-01	Yes	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	625,000$	0$	0$	No	625,000$	625,000$
Chase Priskie	Silver Knights (VGK)	D	26	1996-01-01	Yes	185 Lbs	6 ft0	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$
Colin Blackwell	Silver Knights (VGK)	C	29	1993-01-01	No	190 Lbs	5 ft9	No	No	No	3	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$
Connor Bunnaman	Silver Knights (VGK)	C	24	1998-01-01	No	207 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Daniil Miromanov	Silver Knights (VGK)	D	25	1997-01-01	Yes	202 Lbs	6 ft4	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$
Jacob Larsson	Silver Knights (VGK)	D	25	1997-01-01	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Joe Snively	Silver Knights (VGK)	C	26	1996-01-01	Yes	176 Lbs	5 ft9	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$
Jonas Johansson	Silver Knights (VGK)	G	27	1995-01-01	No	220 Lbs	6 ft5	No	No	No	3	Pro & Farm	975,000$	0$	0$	No	975,000$	975,000$
Jujhar Khaira	Silver Knights (VGK)	LW	28	1994-01-01	No	212 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$			NHL Link
Kristians Rubins	Silver Knights (VGK)	D	25	1997-01-01	Yes	227 Lbs	6 ft5	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$
Libor Hajek	Silver Knights (VGK)	D	24	1998-01-01	No	206 Lbs	6 ft3	No	No	No	3	Pro & Farm	875,000$	0$	0$	No	875,000$	875,000$
Linus Hogberg	Silver Knights (VGK)	D	24	1998-01-01	Yes	176 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$
Oliver Wahlstrom	Silver Knights (VGK)	RW	22	2000-01-01	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$
Pontus Aberg	Silver Knights (VGK)	LW	29	1993-01-01	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$			NHL Link
Rasmus Sandin	Silver Knights (VGK)	D	22	2000-01-01	No	178 Lbs	5 ft11	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$
Riley Barber	Silver Knights (VGK)	RW	28	1994-01-01	No	199 Lbs	6 ft0	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$
Steven Lorentz	Silver Knights (VGK)	C	26	1996-01-01	No	206 Lbs	6 ft4	No	No	No	1	Pro & Farm	825,000$	0$	0$	No
Trevor Carrick	Silver Knights (VGK)	D	28	1994-01-01	Yes	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$			NHL Link
Trey Fix-Wolansky	Silver Knights (VGK)	RW	23	1999-01-01	Yes	186 Lbs	5 ft7	No	No	No	3	Pro & Farm	625,000$	0$	0$	No	625,000$	625,000$
Ty Dellandrea	Silver Knights (VGK)	C	22	2000-01-01	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	0$	0$	No
Valtteri Puustinen	Silver Knights (VGK)	RW	23	1999-01-01	Yes	183 Lbs	5 ft9	No	No	No	3	Pro & Farm	625,000$	0$	0$	No	625,000$	625,000$
Vladimir Tkachev	Silver Knights (VGK)	LW	27	1995-01-01	Yes	165 Lbs	5 ft10	No	No	No	4	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	25.16	193 Lbs	6 ft1	2.64	782,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	0	0	5
2		Steven Lorentz		30	0	0	5
3	Pontus Aberg			20	1	2	2
4	Connor Bunnaman	Ty Dellandrea		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Sandin	Jacob Larsson	42	1	2	2
2			34	1	2	2
3		Chase Priskie	24	1	2	2
4	Rasmus Sandin	Jacob Larsson	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	0	0	5
2		Steven Lorentz		40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Sandin	Jacob Larsson	60	0	0	5
2			40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	0	5	0
2			40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jacob Larsson	60	0	5	0
2			40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	0	5	0		Jacob Larsson	60	0	5	0
2		40	0	5	0			40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Ty Dellandrea	60	1	2	2
2	Steven Lorentz		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Chase Priskie		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			Rasmus Sandin	Jacob Larsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
			Rasmus Sandin	Jacob Larsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Connor Bunnaman, ,	Connor Bunnaman,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Chase Priskie,		Chase Priskie,

Penalty Shots
, , Steven Lorentz, ,

Goalie
#1 : , #2 : Jonas Johansson

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	3L	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	6	10	0	0	55	109	120	9	62	764	943	1072	47	64	27	8	35	2	1	50.00%	4	1	75.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
2	Armada	5	3	1	0	0	0	1	0	18	8	10	3	1	1	0	0	0	1	0	12	7	5	2	2	0	0	0	0	0	0	6	1	5	8	0.800	18	29	47	0	1	55	109	120	9	190	764	943	1072	47	153	64	38	97	20	9	45.00%	19	3	84.21%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
3	Barons	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	8	12	0	0	55	109	120	9	57	764	943	1072	47	69	19	24	43	2	2	100.00%	12	3	75.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
4	Chops	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	10	16	26	0	0	55	109	120	9	74	764	943	1072	47	32	11	8	44	14	8	57.14%	4	0	100.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
5	Comets	5	1	3	0	0	0	0	1	13	20	-7	2	0	2	0	0	0	0	0	4	6	-2	3	1	1	0	0	0	0	1	9	14	-5	3	0.300	13	24	37	0	0	55	109	120	9	176	764	943	1072	47	149	69	44	104	25	12	48.00%	21	15	28.57%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
6	Draveurs	2	1	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	13	20	0	0	55	109	120	9	64	764	943	1072	47	46	8	10	33	10	5	50.00%	5	0	100.00%	1	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
7	Griffins	2	1	0	0	0	0	1	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	8	13	21	0	0	55	109	120	9	69	764	943	1072	47	63	16	22	33	7	5	71.43%	11	3	72.73%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
8	Heat	5	2	3	0	0	0	0	0	18	16	2	2	2	0	0	0	0	0	0	12	5	7	3	0	3	0	0	0	0	0	6	11	-5	4	0.400	18	32	50	0	0	55	109	120	9	192	764	943	1072	47	140	38	34	96	27	13	48.15%	17	12	29.41%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
9	IceHogs	3	2	1	0	0	0	0	0	14	10	4	1	1	0	0	0	0	0	0	6	3	3	2	1	1	0	0	0	0	0	8	7	1	4	0.667	14	21	35	0	0	55	109	120	9	91	764	943	1072	47	84	19	24	52	13	5	38.46%	12	6	50.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
10	Jarrets Noirs	5	4	1	0	0	0	0	0	27	13	14	2	2	0	0	0	0	0	0	15	6	9	3	2	1	0	0	0	0	0	12	7	5	8	0.800	27	48	75	0	0	55	109	120	9	172	764	943	1072	47	114	41	40	94	31	20	64.52%	20	7	65.00%	1	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
11	Monarchs	5	5	0	0	0	0	0	0	36	9	27	3	3	0	0	0	0	0	0	23	6	17	2	2	0	0	0	0	0	0	13	3	10	10	1.000	36	58	94	0	0	55	109	120	9	157	764	943	1072	47	94	30	20	88	36	22	61.11%	10	3	70.00%	1	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
12	Monster	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	7	12	0	0	55	109	120	9	76	764	943	1072	47	58	17	12	41	9	2	22.22%	6	1	83.33%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
13	Mosquitos	4	3	1	0	0	0	0	0	19	9	10	1	1	0	0	0	0	0	0	10	3	7	3	2	1	0	0	0	0	0	9	6	3	6	0.750	19	31	50	0	1	55	109	120	9	122	764	943	1072	47	81	19	14	77	24	16	66.67%	7	3	57.14%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
14	National	2	1	0	0	1	0	0	0	8	5	3	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	15	23	0	0	55	109	120	9	72	764	943	1072	47	58	27	14	44	12	6	50.00%	7	3	57.14%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
15	Pantheres	2	0	1	0	0	0	0	1	4	7	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	4	6	10	1	0	55	109	120	9	77	764	943	1072	47	75	26	12	27	8	3	37.50%	6	3	50.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
16	Phantoms	4	1	2	0	1	0	0	0	11	14	-3	2	1	0	0	1	0	0	0	7	3	4	2	0	2	0	0	0	0	0	4	11	-7	4	0.500	11	21	32	0	0	55	109	120	9	150	764	943	1072	47	117	36	36	70	12	7	58.33%	19	7	63.16%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
17	Rambo	5	1	1	0	1	2	0	0	13	12	1	3	1	0	0	1	1	0	0	11	7	4	2	0	1	0	0	1	0	0	2	5	-3	6	0.600	13	24	37	0	0	55	109	120	9	174	764	943	1072	47	139	39	42	97	17	6	35.29%	21	7	66.67%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
18	Rapido	3	1	1	0	1	0	0	0	9	7	2	1	1	0	0	0	0	0	0	5	3	2	2	0	1	0	1	0	0	0	4	4	0	4	0.667	9	16	25	0	0	55	109	120	9	93	764	943	1072	47	89	31	14	46	12	7	58.33%	7	3	57.14%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
19	Red Bull	3	2	1	0	0	0	0	0	16	11	5	2	1	1	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	4	2	2	4	0.667	16	29	45	0	0	55	109	120	9	110	764	943	1072	47	118	38	24	55	10	9	90.00%	12	8	33.33%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
20	Rocket	4	1	2	0	1	0	0	0	8	11	-3	2	0	1	0	1	0	0	0	4	5	-1	2	1	1	0	0	0	0	0	4	6	-2	4	0.500	8	12	20	0	0	55	109	120	9	138	764	943	1072	47	116	40	28	68	11	4	36.36%	15	6	60.00%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
21	Sea Dogs	2	0	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	7	13	20	0	0	55	109	120	9	72	764	943	1072	47	78	29	18	33	6	3	50.00%	9	6	33.33%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
22	Spartans	3	1	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	1	5	-4	2	1	1	0	0	0	0	0	3	6	-3	2	0.333	4	8	12	0	0	55	109	120	9	98	764	943	1072	47	95	34	28	41	7	4	57.14%	14	9	35.71%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
23	Thunderbirds	4	1	3	0	0	0	0	0	10	13	-3	3	0	3	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	5	3	2	2	0.250	10	18	28	0	0	55	109	120	9	139	764	943	1072	47	117	51	38	48	19	8	42.11%	19	10	47.37%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
24	Trashers	3	2	1	0	0	0	0	0	9	6	3	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	5	2	3	4	0.667	9	12	21	0	0	55	109	120	9	96	764	943	1072	47	94	38	16	52	12	6	50.00%	8	3	62.50%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
25	Wolf Pack	3	1	2	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	4	8	-4	1	1	0	0	0	0	0	0	5	3	2	2	0.333	9	16	25	0	0	55	109	120	9	86	764	943	1072	47	95	33	26	60	11	5	45.45%	13	5	61.54%	1	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
	Total	82	39	32	0	5	2	2	2	291	228	63	41	20	14	0	4	1	1	1	168	113	55	41	19	18	0	1	1	1	1	123	115	8	96	0.585	291	496	787	1	2	55	109	120	9	2807	764	943	1072	47	2338	800	594	1478	357	188	52.66%	298	127	57.38%	4	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
	_Since Last GM Reset	82	39	32	0	5	2	2	2	291	228	63	41	20	14	0	4	1	1	1	168	113	55	41	19	18	0	1	1	1	1	123	115	8	96	0.585	291	496	787	1	2	55	109	120	9	2807	764	943	1072	47	2338	800	594	1478	357	188	52.66%	298	127	57.38%	4	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
	_Vs Conference	37	17	15	0	2	0	2	1	124	100	24	19	9	7	0	1	0	1	1	71	53	18	18	8	8	0	1	0	1	0	53	47	6	43	0.581	124	207	331	1	1	55	109	120	9	1306	764	943	1072	47	1114	370	278	650	152	75	49.34%	140	58	58.57%	0	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677
	_Vs Division	30	8	8	0	0	0	1	0	125	78	47	15	5	4	0	0	0	0	0	77	37	40	15	3	4	0	0	0	1	0	48	41	7	18	0.300	125	215	340	0	1	55	109	120	9	1061	764	943	1072	47	789	281	218	576	156	82	52.56%	108	47	56.48%	2	877	1933	45.37%	769	1745	44.07%	641	1363	47.03%	1848	1121	1737	730	1368	677

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	96	W1	291	496	787	2807	2338	800	594	1478	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	39	32	5	2	2	2	291	228

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	14	4	1	1	1	168	113

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	18	1	1	1	1	123	115

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
357	188	52.66%	298	127	57.38%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
764	943	1072	47	55	109	120	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
877	1933	45.37%	769	1745	44.07%	641	1363	47.03%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1848	1121	1737	730	1368	677

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
1 - 2022-10-05	8	Rambo	4	Silver Knights	5	W	X		BoxScore
3 - 2022-10-07	24	Silver Knights	2	Comets	1	W			BoxScore
4 - 2022-10-08	32	Monarchs	2	Silver Knights	4	W			BoxScore
5 - 2022-10-09	47	Silver Knights	1	Heat	2	L			BoxScore
6 - 2022-10-10	57	Rocket	2	Silver Knights	3	W	X		BoxScore
8 - 2022-10-12	67	Silver Knights	2	Mosquitos	4	L			BoxScore
9 - 2022-10-13	79	Silver Knights	0	Jarrets Noirs	2	L			BoxScore
10 - 2022-10-14	96	Armada	2	Silver Knights	3	W	X	X	BoxScore
12 - 2022-10-16	111	Thunderbirds	5	Silver Knights	3	L			BoxScore
13 - 2022-10-17	119	Silver Knights	2	Phantoms	4	L			BoxScore
14 - 2022-10-18	132	Silver Knights	3	Rocket	1	W			BoxScore
16 - 2022-10-20	148	Rambo	1	Silver Knights	5	W			BoxScore
17 - 2022-10-21	160	Silver Knights	5	Monarchs	2	W			BoxScore
19 - 2022-10-23	171	Phantoms	1	Silver Knights	4	W			BoxScore
20 - 2022-10-24	186	Silver Knights	5	IceHogs	3	W			BoxScore
22 - 2022-10-26	196	Wolf Pack	3	Silver Knights	1	L			BoxScore
23 - 2022-10-27	210	Silver Knights	2	Heat	4	L			BoxScore
25 - 2022-10-29	223	IceHogs	3	Silver Knights	6	W			BoxScore
27 - 2022-10-31	239	Silver Knights	1	3L	3	L			BoxScore
28 - 2022-11-01	247	Chops	1	Silver Knights	4	W			BoxScore
30 - 2022-11-03	266	Silver Knights	3	IceHogs	4	L			BoxScore
31 - 2022-11-04	274	Monarchs	3	Silver Knights	11	W			BoxScore
32 - 2022-11-05	290	Wolf Pack	5	Silver Knights	3	L			BoxScore
34 - 2022-11-07	303	Silver Knights	4	Mosquitos	2	W			BoxScore
35 - 2022-11-08	316	Silver Knights	1	Rocket	5	L			BoxScore
36 - 2022-11-09	324	Silver Knights	1	Barons	3	L			BoxScore
37 - 2022-11-10	337	Monster	1	Silver Knights	2	W			BoxScore
39 - 2022-11-12	355	Monarchs	1	Silver Knights	8	W			BoxScore
40 - 2022-11-13	365	Silver Knights	5	Trashers	2	W			BoxScore
41 - 2022-11-14	378	Phantoms	2	Silver Knights	3	W	X		BoxScore
43 - 2022-11-16	394	Silver Knights	4	Red Bull	2	W			BoxScore
44 - 2022-11-17	405	Silver Knights	5	Wolf Pack	3	W			BoxScore
45 - 2022-11-18	415	Draveurs	1	Silver Knights	6	W			BoxScore
46 - 2022-11-19	430	Silver Knights	2	Pantheres	4	L			BoxScore
48 - 2022-11-21	440	Jarrets Noirs	4	Silver Knights	6	W			BoxScore
50 - 2022-11-23	458	Silver Knights	6	Chops	1	W			BoxScore
51 - 2022-11-24	468	Rambo	2	Silver Knights	1	L	X		BoxScore
53 - 2022-11-26	485	Barons	4	Silver Knights	3	L			BoxScore
54 - 2022-11-27	492	Silver Knights	4	Griffins	3	W	X	X	BoxScore
56 - 2022-11-29	511	Griffins	2	Silver Knights	4	W			BoxScore
58 - 2022-12-01	525	Silver Knights	3	Monster	2	W			BoxScore
59 - 2022-12-02	532	Silver Knights	3	Heat	5	L			BoxScore
60 - 2022-12-03	543	Armada	3	Silver Knights	1	L			BoxScore
62 - 2022-12-05	561	Jarrets Noirs	2	Silver Knights	9	W			BoxScore
64 - 2022-12-07	578	Armada	2	Silver Knights	8	W			BoxScore
66 - 2022-12-09	591	Silver Knights	2	Sea Dogs	3	L			BoxScore
67 - 2022-12-10	604	Silver Knights	3	Rapido	2	W	X		BoxScore
68 - 2022-12-11	615	Silver Knights	3	Armada	1	W			BoxScore
69 - 2022-12-12	624	Mosquitos	3	Silver Knights	10	W			BoxScore
71 - 2022-12-14	643	Silver Knights	1	Spartans	5	L			BoxScore
72 - 2022-12-15	651	Pantheres	3	Silver Knights	2	L	X	X	BoxScore
73 - 2022-12-16	667	Silver Knights	2	Spartans	1	W			BoxScore
74 - 2022-12-17	675	Sea Dogs	6	Silver Knights	5	L			BoxScore
76 - 2022-12-19	693	Heat	2	Silver Knights	5	W			BoxScore
78 - 2022-12-21	710	Silver Knights	4	National	2	W			BoxScore
79 - 2022-12-22	721	Silver Knights	3	Armada	0	W			BoxScore
80 - 2022-12-23	728	Red Bull	6	Silver Knights	4	L			BoxScore
82 - 2022-12-25	748	Thunderbirds	3	Silver Knights	1	L			BoxScore
84 - 2022-12-27	761	Silver Knights	5	Thunderbirds	3	W			BoxScore
85 - 2022-12-28	773	3L	2	Silver Knights	3	W			BoxScore
87 - 2022-12-30	786	Silver Knights	1	Rapido	2	L			BoxScore
88 - 2022-12-31	800	Spartans	5	Silver Knights	1	L			BoxScore
89 - 2023-01-01	813	Silver Knights	4	Comets	9	L			BoxScore
90 - 2023-01-02	820	Silver Knights	2	Phantoms	7	L			BoxScore
91 - 2023-01-03	832	Trashers	2	Silver Knights	3	W			BoxScore
93 - 2023-01-05	850	Rapido	3	Silver Knights	5	W			BoxScore
95 - 2023-01-07	864	Silver Knights	8	Monarchs	1	W			BoxScore
96 - 2023-01-08	878	Red Bull	3	Silver Knights	8	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
97 - 2023-01-09	884	Silver Knights	8	Jarrets Noirs	3	W			BoxScore
99 - 2023-01-11	904	Comets	4	Silver Knights	3	L			BoxScore
100 - 2023-01-12	915	Silver Knights	1	Draveurs	3	L			BoxScore
103 - 2023-01-15	931	Trashers	2	Silver Knights	1	L			BoxScore
104 - 2023-01-16	945	Rocket	3	Silver Knights	1	L			BoxScore
105 - 2023-01-17	949	Silver Knights	3	Mosquitos	0	W			BoxScore
108 - 2023-01-20	972	Heat	3	Silver Knights	7	W			BoxScore
109 - 2023-01-21	981	Silver Knights	3	Comets	4	L	X	X	BoxScore
110 - 2023-01-22	988	Silver Knights	1	Rambo	2	L	X		BoxScore
112 - 2023-01-24	1008	Thunderbirds	2	Silver Knights	1	L			BoxScore
115 - 2023-01-27	1027	National	3	Silver Knights	4	W	X		BoxScore
116 - 2023-01-28	1040	Silver Knights	1	Rambo	3	L			BoxScore
118 - 2023-01-30	1049	Comets	2	Silver Knights	1	L			BoxScore
119 - 2023-01-31	1052	Silver Knights	4	Jarrets Noirs	2	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	20
Attendance	79,271	39,099
Attendance PCT	96.67%	95.36%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
-40	2887 - 96.24%	89,473$	3,668,395$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,008,235$	1,955,000$	1,955,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
16,157$	2,001,747$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-3,578,922$	0	16,157$	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

	Silver Knights
	GP: 82 \| W: 46 \| L: 32 \| OTL: 4 \| P: 96 GF: 291 \| GA: 228 \| PP%: 52.66% \| PK%: 57.38% GM : Pat Lacelle \| Morale : 50 \| Team Overall : 57