SAN JOSE BLASPHEMERS
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	SAN JOSE AVACADOES 0-0-1, 1pts	2	FINAL	3	BROOKLYN GRINDERS 1-0-0, 2pts

Team Stats
SOL1	Streak	W1
0-0-0	Home Record	1-0-0
0-0-1	Home Record	0-0-0
0-0-1	Last 10 Games	1-0-0
2.00	Goals Per Game	3.00
3.00	Goals Against Per Game	2.00
0.00%	Power Play Percentage	33.33%
66.67%	Penalty Kill Percentage	100.00%

COLORADO CUBS
0-0-1, 1pts

Day 3

SAN JOSE AVACADOES
0-0-1, 1pts

Team Stats
OTL1	Streak	SOL1
0-0-0	Home Record	0-0-0
0-0-1	Away Record	0-0-1
0-0-1	Last 10 Games	0-0-1
2.00	Goals Per Game	2.00
3.00	Goals Against Per Game	2.00
0.00%	Power Play Percentage	0.00%
0%	Penalty Kill Percentage	66.67%

CALGARY WRANGLERS
1-0-0, 2pts

Day 5

SAN JOSE AVACADOES
0-0-1, 1pts

Team Stats
W1	Streak	SOL1
1-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-1
1-0-0	Last 10 Games	0-0-1
4.00	Goals Per Game	2.00
3.00	Goals Against Per Game	2.00
0.00%	Power Play Percentage	0.00%
0.00%	Penalty Kill Percentage	66.67%

SAN JOSE AVACADOES
0-0-1, 1pts

Day 7

BROOKLYN GRINDERS
1-0-0, 2pts

Team Stats
SOL1	Streak	W1
0-0-0	Home Record	1-0-0
0-0-1	Away Record	0-0-0
0-0-1	Last 10 Games	1-0-0
2.00	Goals Per Game	3.00
3.00	Goals Against Per Game	3.00
0.00%	Power Play Percentage	33.33%
66.67%	Penalty Kill Percentage	100.00%

Team Leaders
	Goals Hendrix Lapierre 1	Assists Hendrix Lapierre 1

	Points Hendrix Lapierre 2	Plus/Minus Peyton Krebs 2

	Wins Jeremy Swayman 0	Save Percentage Jeremy Swayman 0.939

Team Stats
Goals For 2 2.00 GFG	Shots For 26 26.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 31.9%
Goals Against 3 3.00 GAA	Shots Against 33 33.00 Avg	Penalty Kill Percentage 66.7%% 1 GA	Defensive Zone Start 38.3%

Team Info
	General Manager	Sean S
	Coach	Mark Giordano
	Division	Patrick
	Conference	Rosling Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	38
	Farm Team	22
	Contract Limit	60 / 66
	Prospects	0

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	SP	Age	Contract	Salary
1	Dawson Mercer (R)	X				99.00	14	12	85	84	81	79	81	83	51	78	84	69	68	84	72	0	48	73	1	21	1	650,000$
2	Arthur Kaliyev (R)		X	X		99.00	42	1	91	88	86	85	90	76	46	78	74	59	72	86	76	0	48	72	2	22	3	675,000$
3	Peyton Krebs (R)	X	X			100.00	64	42	71	86	87	82	85	69	67	73	64	62	68	85	74	0	48	70	1	22	3	750,000$
4	Kent Johnson (R)	X	X	X		100.00	74	42	80	83	86	88	85	69	64	74	64	59	55	62	72	0	48	69	1	20	2	825,000$
5	J.T. Compher	X				100.00	18	2	99	62	77	75	76	62	51	73	69	64	69	85	78	0	48	65	2	28	1	866,000$
6	John Hayden	X	X	X		100.00	25	27	99	65	75	71	79	71	66	64	63	66	54	88	78	0	48	64	2	28	1	744,000$
7	Chase Stillman (R)			X		100.00	50	25	93	78	74	71	65	62	46	57	58	66	48	64	77	0	48	63	1	20	2	700,000$
8	Ryan McLeod (R)	X	X			100.00	59	49	87	79	75	70	73	53	84	62	59	64	68	77	70	0	48	63	2	24	1	550,000$
9	Hendrix Lapierre (R)	X				100.00	16	1	87	74	72	78	73	67	60	67	57	55	60	70	74	0	48	62	1	21	1	650,000$
10	Egor Sokolov (R)		X			100.00	23	13	77	79	73	73	74	56	45	63	59	60	57	75	64	0	48	62	2	23	1	550,000$
11	Jean-Luc Foudy (R)	X				100.00	38	14	73	72	73	63	70	65	58	61	59	59	56	61	64	0	48	61	2	21	1	600,000$
12	Aleksandr Kisakov (R)	X	X	X		100.00	4	1	99	82	68	70	61	66	55	58	59	60	61	61	67	0	48	60	2	20	2	700,000$
13	Erik Brännström (R)				X	100.00	39	10	88	87	88	94	93	88	35	84	65	66	42	96	84	0	48	75	1	24	3	750,000$
14	John Marino				X	99.00	70	20	63	82	77	74	87	75	44	80	71	70	45	87	73	0	48	72	2	26	3	650,000$
15	Max Gildon (R)				X	100.00	57	27	78	81	77	72	77	56	40	61	55	57	45	72	67	0	48	64	2	24	1	600,000$
16	Nils Lundkvist (R)				X	100.00	9	1	99	79	74	74	78	59	44	63	54	68	44	84	73	0	48	63	2	23	3	650,000$
17	Šimon Nemec (R)				X	100.00	36	10	86	67	69	72	69	67	44	68	60	66	52	62	70	0	48	62	1	19	3	900,000$
18	Daemon Hunt (R)				X	100.00	58	39	94	66	71	75	68	56	44	55	53	61	45	60	62	0	48	61	2	21	1	600,000$
Scratches
1	Gleb Trikozov (R)		X			100.00	34	18	78	72	67	69	71	58	55	62	59	64	45	58	60	0	49	60	2	19	3	700,000$
2	Egor Afanasyev (R)		X			100.00	34	8	80	69	74	76	69	63	53	58	54	54	58	69	67	0	49	60	2	22	3	650,000$
3	Stelio Mattheos (R)			X		100.00	46	29	55	69	74	62	63	63	43	60	58	62	55	64	67	0	49	60	2	24	2	650,000$
4	Danila Yurov (R)			X		100.00	11	1	94	65	67	72	72	62	59	62	60	57	56	60	65	0	49	59	1	19	3	800,000$
5	Samuel Savoie (R)		X			100.00	36	14	79	67	68	65	74	62	46	59	57	59	56	60	60	0	49	59	2	19	3	500,000$
6	Zion Nybeck (R)		X	X		100.00	7	2	92	65	70	60	68	64	45	69	64	57	47	48	57	0	49	59	2	21	1	500,000$
7	Josh Bloom (R)		X			100.00	38	32	76	73	72	63	60	58	44	54	53	60	52	62	58	0	49	58	2	20	2	500,000$
8	Ivan Morozov (R)	X				100.00	16	16	88	65	72	56	67	59	60	58	56	58	55	70	64	0	49	57	2	24	1	650,000$
9	Philipp Kurashev (R)	X				100.00	20	1	89	64	75	59	63	50	55	50	47	54	60	67	60	0	49	54	2	23	2	621,000$
10	Evan Nause (R)				X	100.00	44	24	86	65	77	48	75	63	44	59	56	61	61	70	60	0	49	60	2	20	2	600,000$
11	Zachary Jones (R)				X	100.00	43	33	89	64	78	58	64	66	44	67	58	61	48	61	65	0	49	60	2	22	3	500,000$
12	George Fegaras (R)				X	100.00	44	44	79	65	64	67	69	57	44	58	56	64	42	58	48	0	49	59	2	19	3	600,000$
13	Scott Perunovich				X	100.00	4	1	97	68	70	69	78	60	38	66	55	61	44	72	53	0	49	59	2	25	2	780,000$
14	Mike Anderson (R)				X	100.00	56	57	67	61	78	57	57	54	40	57	57	58	48	67	62	0	49	58	2	24	2	650,000$
15	Jordan Harris (R)				X	100.00	25	25	89	63	77	64	60	45	30	56	53	60	47	56	62	0	49	56	2	24	2	625,000$

	TEAM AVERAGE					99.91	35	19	84	72	75	70	73	63	50	64	60	61	54	70	67	0	48	62

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	SP	Age	Contract	Salary
1	Anders Lindback	100.00	65	87	86	83	73	75	81	82	76	70	71	99	90	0	48	77	0	35	1	1,320,000$
2	Jeremy Swayman (R)	98.00	72	79	83	77	77	70	76	71	74	72	58	94	75	0	48	74	2	24	3	1,139,000$
Scratches
1	Evan Fitzpatrick (R)	100.00	60	64	63	81	68	75	77	75	81	58	58	67	68	0	50	70	2	25	2	650,000$
2	Jakub Škarek (R)	100.00	70	58	58	74	67	60	57	61	62	61	60	57	66	0	50	62	2	23	2	550,000$
3	Philip Svedebäck (R)	100.00	60	58	58	84	67	52	58	54	57	54	59	56	60	0	50	59	2	20	2	550,000$

	TEAM AVERAGE	99.60	65	69	70	80	70	66	70	69	70	63	61	75	72	0	49	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mark Giordano	70	79	78	77	79	79	71	CAN	40	1	900,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	FO%	FOT	GA	TA	P/20	PSG	PSS	S1	S3
1	Hendrix Lapierre	SAN JOSE AVACADOES (SAJ)	C	1	1	1	2	1	0	0	1	1	0	2	100.00%	1	14	14.80	0	0	0	41.67%	12	0	0	2.70	0	0	0	1
2	Peyton Krebs	SAN JOSE AVACADOES (SAJ)	C/LW	1	1	1	2	2	0	1	3	7	2	2	14.29%	2	20	20.35	0	3	0	50.00%	2	2	1	1.97	0	1	1	0
3	Erik Brännström	SAN JOSE AVACADOES (SAJ)	D	1	0	1	1	1	0	0	1	4	1	3	0%	1	27	27.57	0	5	2	0%	0	0	1	0.73	0	0	0	0
4	John Hayden	SAN JOSE AVACADOES (SAJ)	C/LW/RW	1	0	1	1	2	0	1	2	0	1	1	0%	0	18	18.43	0	3	0	0%	0	0	0	1.08	0	0	0	0
5	Šimon Nemec	SAN JOSE AVACADOES (SAJ)	D	1	0	0	0	1	0	0	0	1	0	0	0%	0	14	14.78	0	0	0	0%	0	0	1	0	0	0	0	0
6	Kent Johnson	SAN JOSE AVACADOES (SAJ)	C/LW/RW	1	0	0	0	-1	2	3	0	1	0	3	0%	0	22	22.35	0	4	0	66.67%	3	0	0	0	0	1	0	0
7	Dawson Mercer	SAN JOSE AVACADOES (SAJ)	C	1	0	0	0	0	0	1	1	1	0	1	0%	0	23	23.68	0	4	2	39.29%	28	2	0	0	0	1	0	0
8	Arthur Kaliyev	SAN JOSE AVACADOES (SAJ)	LW/RW	1	0	0	0	-1	0	2	1	3	2	2	0%	1	24	24.10	1	4	2	0%	2	1	0	0	1	1	0	0
9	Chase Stillman	SAN JOSE AVACADOES (SAJ)	RW	1	0	0	0	0	0	0	3	1	0	1	0%	1	13	13.28	0	3	0	0%	0	0	0	0	0	0	0	0
10	Egor Sokolov	SAN JOSE AVACADOES (SAJ)	LW	1	0	0	0	0	0	0	2	1	1	0	0%	0	7	7.87	0	0	0	0%	0	0	0	0	0	0	0	0
11	Daemon Hunt	SAN JOSE AVACADOES (SAJ)	D	1	0	0	0	1	0	0	4	0	0	0	0%	0	14	14.95	0	0	0	0%	0	0	0	0	0	0	0	0
12	John Marino	SAN JOSE AVACADOES (SAJ)	D	1	0	0	0	1	2	3	0	0	1	1	0%	0	27	27.83	0	5	2	0%	0	0	1	0	0	0	0	0
13	Jean-Luc Foudy	SAN JOSE AVACADOES (SAJ)	C	1	0	0	0	0	0	1	1	2	0	1	0%	0	11	11.07	0	0	0	50.00%	2	0	0	0	0	0	0	0
14	Aleksandr Kisakov	SAN JOSE AVACADOES (SAJ)	C/LW/RW	1	0	0	0	0	0	0	2	0	0	2	0%	0	8	8.58	0	1	0	0%	0	0	0	0	0	0	0	0
15	Max Gildon	SAN JOSE AVACADOES (SAJ)	D	1	0	0	0	-1	2	0	3	0	0	0	0%	1	19	19.97	0	3	0	0%	0	1	1	0	0	0	0	0
16	J.T. Compher	SAN JOSE AVACADOES (SAJ)	C	1	0	0	0	0	0	0	1	2	0	1	0%	1	10	10.07	0	1	0	0%	1	0	0	0	0	1	0	0
17	Nils Lundkvist	SAN JOSE AVACADOES (SAJ)	D	1	0	0	0	-1	0	0	2	1	0	0	0%	2	19	19.55	0	3	1	0%	0	0	0	0	0	0	0	0
18	Ryan McLeod	SAN JOSE AVACADOES (SAJ)	C/LW	1	0	0	0	0	0	2	1	1	1	0	0%	0	11	11.48	0	0	1	0%	0	0	0	0	0	1	0	0
Team Total or Average				18	2	4	6	5	6	14	28	26	9	20	7.69%	10	310	17.26	1	46	16	40.00%	50	6	5	0.39	1	6	1	1

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jeremy Swayman	SAN JOSE AVACADOES (SAJ)	1	0	0	1	0.939	1.85	65	0	0	2	33	17	0	0	0.667	6	1	0	0	0	0
Team Total or Average			1	0	0	1	0.939	1.85	65	0	0	2	33	17	0	0		6	1	0	0	0	0

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 Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3
Aleksandr Kisakov	SAN JOSE AVACADOES (SAJ)	C/LW/RW	20	11/1/2002 6:48:06 AM	Yes	156 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	700,000$	695,541$	40,000$	39,745$	70,000$	69,554$	No	700,000$
Anders Lindback	SAN JOSE AVACADOES (SAJ)	G	35	1/3/1988	No	218 Lbs	6 ft6	No	No	No	No	1	Pro & Farm	1,320,000$	1,311,592$	40,000$	39,745$	132,000$	131,159$	No
Arthur Kaliyev	SAN JOSE AVACADOES (SAJ)	LW/RW	22	6/26/2001 5:44:16 AM	Yes	196 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	675,000$	670,701$	40,000$	39,745$	67,500$	67,070$	No	675,000$	675,000$
Chase Stillman	SAN JOSE AVACADOES (SAJ)	RW	20	3/19/2003 8:45:03 AM	Yes	191 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	700,000$	695,541$	40,000$	39,745$	70,000$	69,554$	No	700,000$
Daemon Hunt	SAN JOSE AVACADOES (SAJ)	D	21	6/1/2002 7:42:18 AM	Yes	207 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	600,000$	596,178$	40,000$	39,745$	60,000$	59,618$	No
Danila Yurov	SAN JOSE AVACADOES (SAJ)	RW	19	12/22/2003 6:16:42 AM	Yes	172 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	800,000$	794,904$	40,000$	39,745$	80,000$	79,490$	No	800,000$	800,000$
Dawson Mercer	SAN JOSE AVACADOES (SAJ)	C	21	10/27/2001 8:12:51 AM	Yes	183 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No
Egor Afanasyev	SAN JOSE AVACADOES (SAJ)	LW	22	6/1/2001 6:22:59 AM	Yes	187 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$	650,000$
Egor Sokolov	SAN JOSE AVACADOES (SAJ)	LW	23	6/7/2000 5:04:22 AM	Yes	222 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	550,000$	546,497$	40,000$	39,745$	55,000$	54,650$	No
Erik Brännström	SAN JOSE AVACADOES (SAJ)	D	24	9/2/1999 5:22:21 AM	Yes	198 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	750,000$	745,223$	40,000$	39,745$	75,000$	74,522$	No	750,000$	750,000$
Evan Fitzpatrick	SAN JOSE AVACADOES (SAJ)	G	25	6/1/1998 10:49:02 AM	Yes	221 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$
Evan Nause	SAN JOSE AVACADOES (SAJ)	D	20	6/1/2003 7:06:43 AM	Yes	208 Lbs	6 ft5	No	No	No	No	2	Pro & Farm	600,000$	596,178$	40,000$	39,745$	60,000$	59,618$	No	600,000$
George Fegaras	SAN JOSE AVACADOES (SAJ)	D	19	6/1/2004 3:46:28 AM	Yes	200 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	600,000$	596,178$	40,000$	39,745$	60,000$	59,618$	No	600,000$	600,000$
Gleb Trikozov	SAN JOSE AVACADOES (SAJ)	LW	19	6/1/2004 9:36:10 AM	Yes	180 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	700,000$	695,541$	40,000$	39,745$	70,000$	69,554$	No	700,000$	700,000$
Hendrix Lapierre	SAN JOSE AVACADOES (SAJ)	C	21	2/9/2002 8:34:45 AM	Yes	184 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No
Ivan Morozov	SAN JOSE AVACADOES (SAJ)	C	24	6/1/1999 7:48:27 AM	Yes	192 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No
J.T. Compher	SAN JOSE AVACADOES (SAJ)	C	28	4/8/1995 2:38:36 AM	No	208 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	866,000$	860,484$	40,000$	39,745$	86,600$	86,048$	No
Jakub Škarek	SAN JOSE AVACADOES (SAJ)	G	23	11/10/1999 4:25:04 AM	Yes	179 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	550,000$	546,497$	40,000$	39,745$	55,000$	54,650$	No	550,000$
Jean-Luc Foudy	SAN JOSE AVACADOES (SAJ)	C	21	5/13/2002 8:01:41 AM	Yes	177 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	600,000$	596,178$	40,000$	39,745$	60,000$	59,618$	No
Jeremy Swayman	SAN JOSE AVACADOES (SAJ)	G	24	11/24/1998 9:27:16 AM	Yes	194 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	1,139,000$	1,131,745$	40,000$	39,745$	113,900$	113,175$	No	1,139,000$	1,139,000$
John Hayden	SAN JOSE AVACADOES (SAJ)	C/LW/RW	28	6/22/1995 7:36:19 AM	No	202 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	744,000$	739,261$	40,000$	39,745$	74,400$	73,926$	No
John Marino	SAN JOSE AVACADOES (SAJ)	D	26	7/21/1997 1:06:07 AM	No	192 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$	650,000$
Jordan Harris	SAN JOSE AVACADOES (SAJ)	D	24	6/1/1999 4:23:11 AM	Yes	207 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	625,000$	621,019$	40,000$	39,745$	62,500$	62,102$	No	625,000$
Josh Bloom	SAN JOSE AVACADOES (SAJ)	LW	20	6/8/2003 7:20:05 AM	Yes	185 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	500,000$	496,815$	40,000$	39,745$	50,000$	49,682$	No	500,000$
Kent Johnson	SAN JOSE AVACADOES (SAJ)	C/LW/RW	20	10/18/2002 6:42:20 AM	Yes	188 Lbs	6 ft5	No	No	No	No	2	Pro & Farm	825,000$	819,745$	40,000$	39,745$	82,500$	81,975$	No	825,000$
Max Gildon	SAN JOSE AVACADOES (SAJ)	D	24	5/17/1999 7:57:26 AM	Yes	210 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	600,000$	596,178$	40,000$	39,745$	60,000$	59,618$	No
Mike Anderson	SAN JOSE AVACADOES (SAJ)	D	24	6/1/1999 9:08:14 AM	Yes	214 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$
Nils Lundkvist	SAN JOSE AVACADOES (SAJ)	D	23	7/27/2000 5:52:58 AM	Yes	185 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$	650,000$
Peyton Krebs	SAN JOSE AVACADOES (SAJ)	C/LW	22	1/26/2001 4:41:56 AM	Yes	187 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	750,000$	745,223$	40,000$	39,745$	75,000$	74,522$	No	750,000$	750,000$
Philip Svedebäck	SAN JOSE AVACADOES (SAJ)	G	20	6/1/2003 8:03:34 AM	Yes	230 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	550,000$	546,497$	40,000$	39,745$	55,000$	54,650$	No	550,000$
Philipp Kurashev	SAN JOSE AVACADOES (SAJ)	C	23	10/12/1999 5:54:13 AM	Yes	205 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	621,000$	617,045$	40,000$	39,745$	62,100$	61,704$	No	621,000$
Ryan McLeod	SAN JOSE AVACADOES (SAJ)	C/LW	24	9/21/1999 7:09:46 AM	Yes	208 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	550,000$	546,497$	40,000$	39,745$	55,000$	54,650$	No
Samuel Savoie	SAN JOSE AVACADOES (SAJ)	LW	19	6/1/2004 3:42:16 AM	Yes	180 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	500,000$	496,815$	40,000$	39,745$	50,000$	49,682$	No	500,000$	500,000$
Scott Perunovich	SAN JOSE AVACADOES (SAJ)	D	25	8/18/1998 7:18:33 AM	No	179 Lbs	5 ft9	No	No	No	No	2	Pro & Farm	780,000$	775,032$	40,000$	39,745$	78,000$	77,503$	No	780,000$
Stelio Mattheos	SAN JOSE AVACADOES (SAJ)	RW	24	6/1/1999 8:06:33 AM	Yes	191 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	650,000$	645,860$	40,000$	39,745$	65,000$	64,586$	No	650,000$
Zachary Jones	SAN JOSE AVACADOES (SAJ)	D	22	6/1/2001 8:08:31 AM	Yes	213 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	500,000$	496,815$	40,000$	39,745$	50,000$	49,682$	No	500,000$	500,000$
Zion Nybeck	SAN JOSE AVACADOES (SAJ)	LW/RW	21	5/12/2002 9:39:28 AM	Yes	186 Lbs	5 ft9	No	No	No	No	1	Pro & Farm	500,000$	496,815$	40,000$	39,745$	50,000$	49,682$	No
Šimon Nemec	SAN JOSE AVACADOES (SAJ)	D	19	2/15/2004 4:59:01 AM	Yes	198 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	900,000$	894,268$	40,000$	39,745$	90,000$	89,427$	No	900,000$	900,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
38	22.61	196 Lbs	6 ft1	2.03	682,763$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	Dawson Mercer	Kent Johnson	36	1	1	3
2	Peyton Krebs	Hendrix Lapierre	John Hayden	34	1	1	3
3	Ryan McLeod	Jean-Luc Foudy	Chase Stillman	20	1	2	2
4	Egor Sokolov	J.T. Compher	Aleksandr Kisakov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Brännström	John Marino	40	1	1	3
2	Max Gildon	Nils Lundkvist	30	1	2	2
3	Šimon Nemec	Daemon Hunt	27	1	3	1
4	Erik Brännström	John Marino	3	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	Dawson Mercer	Kent Johnson	60	1	2	2
2	John Hayden	Peyton Krebs	Chase Stillman	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Brännström	John Marino	60	1	2	2
2	Max Gildon	Nils Lundkvist	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dawson Mercer	Arthur Kaliyev	60	1	2	2
2	Peyton Krebs	Kent Johnson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Brännström	John Marino	60	1	2	2
2	Max Gildon	Nils Lundkvist	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Dawson Mercer	60	1	2	2	Erik Brännström	John Marino	60	1	2	2
2	Arthur Kaliyev	40	1	2	2	Max Gildon	Nils Lundkvist	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dawson Mercer	Arthur Kaliyev	60	1	2	2
2	Peyton Krebs	Kent Johnson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Brännström	John Marino	60	1	2	2
2	Max Gildon	Nils Lundkvist	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Dawson Mercer	Kent Johnson	Erik Brännström	John Marino

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Dawson Mercer	Kent Johnson	Erik Brännström	John Marino

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jean-Luc Foudy , J.T. Compher, Ryan McLeod	Jean-Luc Foudy , J.T. Compher	Ryan McLeod

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Šimon Nemec, Daemon Hunt, Max Gildon	Šimon Nemec	Daemon Hunt, Max Gildon

Penalty Shots
Dawson Mercer, Arthur Kaliyev, Peyton Krebs, Kent Johnson, J.T. Compher

Goalie
#1 : Jeremy Swayman, #2 : Anders Lindback

Custom OT Lines Forwards
Dawson Mercer, Arthur Kaliyev, Peyton Krebs, Kent Johnson, J.T. Compher, John Hayden, John Hayden, Ryan McLeod, Hendrix Lapierre, Chase Stillman, Egor Sokolov

Custom OT Lines Defensemen
Erik Brännström, John Marino, Max Gildon, Nils Lundkvist, Šimon Nemec

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	BROOKLYN GRINDERS	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	26	5	12	8	7	33	10	6	14	4	0	0.00%	3	1	66.67%	0	9	15	60.00%	6	18	33.33%	5	14	35.71%	22	12	23	11	19	9
	Total	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	26	5	12	8	7	33	10	6	14	4	0	0.00%	3	1	66.67%	0	9	15	60.00%	6	18	33.33%	5	14	35.71%	22	12	23	11	19	9
	_Since Last GM Reset	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	26	5	12	8	7	33	10	6	14	4	0	0.00%	3	1	66.67%	0	9	15	60.00%	6	18	33.33%	5	14	35.71%	22	12	23	11	19	9
	_Vs Conference	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	26	5	12	8	7	33	10	6	14	4	0	0.00%	3	1	66.67%	0	9	15	60.00%	6	18	33.33%	5	14	35.71%	22	12	23	11	19	9

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
1	1	SOL1	2	4	6	26	33	10	6	14	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	0	0	1	2	3

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
4	0	0.00%	3	1	66.67%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
5	12	8	7	1	1	0	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
9	15	60.00%	6	18	33.33%	5	14	35.71%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
22	12	23	11	19	9

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
1	6	SAN JOSE AVACADOES	2	BROOKLYN GRINDERS	3	AL	X	X	BoxScore
3	16	COLORADO CUBS	-	SAN JOSE AVACADOES	-
5	29	CALGARY WRANGLERS	-	SAN JOSE AVACADOES	-
7	37	SAN JOSE AVACADOES	-	BROOKLYN GRINDERS	-
8	48	SAN JOSE AVACADOES	-	CALGARY WRANGLERS	-
10	57	VANCOUVER THOUSANDAIRES	-	SAN JOSE AVACADOES	-
12	72	SAN JOSE AVACADOES	-	PINCHER CREEK WOLVERINES	-
13	79	COLORADO CUBS	-	SAN JOSE AVACADOES	-
14	92	CALGARY WRANGLERS	-	SAN JOSE AVACADOES	-
16	102	SAN JOSE AVACADOES	-	PHILADELPHIA PHANTOMS	-
17	107	SAN JOSE AVACADOES	-	BROOKLYN GRINDERS	-
20	122	VANCOUVER THOUSANDAIRES	-	SAN JOSE AVACADOES	-
23	136	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
25	147	SAN JOSE AVACADOES	-	COLORADO CUBS	-
26	160	CAPE BRETON LEPRECHAUNS	-	SAN JOSE AVACADOES	-
27	164	SAN JOSE AVACADOES	-	CHICAGO UNDERTAKERS	-
29	179	SAN JOSE AVACADOES	-	DETROIT STEELERS	-
31	189	VANCOUVER THOUSANDAIRES	-	SAN JOSE AVACADOES	-
33	201	SAN JOSE AVACADOES	-	DETROIT STEELERS	-
35	210	DETROIT STEELERS	-	SAN JOSE AVACADOES	-
37	225	BROOKLYN GRINDERS	-	SAN JOSE AVACADOES	-
39	235	SAN JOSE AVACADOES	-	CAPE FEAR WILDCATS	-
41	245	SAN JOSE AVACADOES	-	NORTH VAN ROCKERS	-
42	254	BROOKLYN GRINDERS	-	SAN JOSE AVACADOES	-
44	267	SAN JOSE AVACADOES	-	VANCOUVER THOUSANDAIRES	-
45	276	PENSACOLA BLACK BEARS	-	SAN JOSE AVACADOES	-
48	289	SAN JOSE AVACADOES	-	CHICAGO UNDERTAKERS	-
49	296	VANCOUVER THOUSANDAIRES	-	SAN JOSE AVACADOES	-
51	308	SAN JOSE AVACADOES	-	MANHATTAN SWEDES	-
53	321	CAPE BRETON LEPRECHAUNS	-	SAN JOSE AVACADOES	-
55	333	SAN JOSE AVACADOES	-	COQUITLAM EXPRESS	-
56	340	COLORADO CUBS	-	SAN JOSE AVACADOES	-
59	358	CAPE FEAR WILDCATS	-	SAN JOSE AVACADOES	-
61	368	SAN JOSE AVACADOES	-	MANHATTAN SWEDES	-
63	378	SAN JOSE AVACADOES	-	EDMONTON OILERS	-
65	385	SAN JOSE AVACADOES	-	COLORADO CUBS	-
66	396	NORTH VAN ROCKERS	-	SAN JOSE AVACADOES	-
68	408	SAN JOSE AVACADOES	-	CAPE BRETON LEPRECHAUNS	-
70	416	LAS CRUCES MESCALEROS	-	SAN JOSE AVACADOES	-
72	430	SAN JOSE AVACADOES	-	PENSACOLA BLACK BEARS	-
73	437	SYRACUSE BABY BULLS	-	SAN JOSE AVACADOES	-
76	453	BANGOR PUPPIES	-	SAN JOSE AVACADOES	-
78	466	SAN JOSE AVACADOES	-	EDMONTON OILERS	-
80	476	SAN JOSE AVACADOES	-	HALIFAX HELL	-
81	484	CHICAGO UNDERTAKERS	-	SAN JOSE AVACADOES	-
83	498	PHILADELPHIA PHANTOMS	-	SAN JOSE AVACADOES	-
84	506	SAN JOSE AVACADOES	-	SYRACUSE BABY BULLS	-
86	518	SAN JOSE AVACADOES	-	HALIFAX HELL	-
88	527	CAPE FEAR WILDCATS	-	SAN JOSE AVACADOES	-
90	539	SAN JOSE AVACADOES	-	BROOKLYN GRINDERS	-
91	547	SAN JOSE AVACADOES	-	NEWTON NIGHTHAWKS	-
92	550	NORTH VAN ROCKERS	-	SAN JOSE AVACADOES	-
96	569	COQUITLAM EXPRESS	-	SAN JOSE AVACADOES	-
98	583	SYRACUSE BABY BULLS	-	SAN JOSE AVACADOES	-
100	590	SAN JOSE AVACADOES	-	CAPE BRETON LEPRECHAUNS	-
102	604	SAN JOSE AVACADOES	-	CALGARY WRANGLERS	-
103	612	COLORADO CUBS	-	SAN JOSE AVACADOES	-
105	628	CALGARY WRANGLERS	-	SAN JOSE AVACADOES	-
106	637	SAN JOSE AVACADOES	-	BANGOR PUPPIES	-
109	650	SAN JOSE AVACADOES	-	CALGARY WRANGLERS	-
110	655	BANGOR PUPPIES	-	SAN JOSE AVACADOES	-
112	669	SAN JOSE AVACADOES	-	LAS CRUCES MESCALEROS	-
113	677	NEWTON NIGHTHAWKS	-	SAN JOSE AVACADOES	-
115	690	SAN JOSE AVACADOES	-	LAS CRUCES MESCALEROS	-
117	700	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
119	716	PINCHER CREEK WOLVERINES	-	SAN JOSE AVACADOES	-
120	724	SAN JOSE AVACADOES	-	PHILADELPHIA PHANTOMS	-
123	739	HAWAII PUNCH	-	SAN JOSE AVACADOES	-
124	747	SAN JOSE AVACADOES	-	CAPE FEAR WILDCATS	-
Trade Deadline --- Trades can’t be done after this day is simulated!
126	756	SAN JOSE AVACADOES	-	SYRACUSE BABY BULLS	-
127	767	PINCHER CREEK WOLVERINES	-	SAN JOSE AVACADOES	-
130	782	NEWTON NIGHTHAWKS	-	SAN JOSE AVACADOES	-
133	801	HALIFAX HELL	-	SAN JOSE AVACADOES	-
135	817	COQUITLAM EXPRESS	-	SAN JOSE AVACADOES	-
136	823	SAN JOSE AVACADOES	-	PENSACOLA BLACK BEARS	-
138	838	HALIFAX HELL	-	SAN JOSE AVACADOES	-
141	851	SAN JOSE AVACADOES	-	BROOKLYN GRINDERS	-
142	859	MANHATTAN SWEDES	-	SAN JOSE AVACADOES	-
146	878	SAN JOSE AVACADOES	-	PINCHER CREEK WOLVERINES	-
147	883	SAN JOSE AVACADOES	-	HAWAII PUNCH	-
149	892	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
152	904	MANHATTAN SWEDES	-	SAN JOSE AVACADOES	-
153	905	SAN JOSE AVACADOES	-	HAWAII PUNCH	-
156	921	SAN JOSE AVACADOES	-	PINCHER CREEK WOLVERINES	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
42	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
22,258$	2,594,500$	152,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
2,594,500$	16,525$	38	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	156	22,258$	3,472,248$

SAN JOSE AVACADOES 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

SAN JOSE AVACADOES 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

SAN JOSE AVACADOES 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

SAN JOSE AVACADOES 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

SAN JOSE AVACADOES 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

	SAN JOSE AVACADOES
	GP: 1 \| W: 0 \| L: 0 \| OTL: 1 \| P: 1 GF: 2 \| GA: 3 \| PP%: 0.00% \| PK%: 66.67% GM : Sean S \| Morale : 48 \| Team Overall : 63 Next Games #16 vs COLORADO CUBS