San Jose
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Cleveland 41-33-8, 90pts	3	Box score	4	San Jose 42-32-8, 92pts

Team Stats
W1	Streak	W2
20-17-4	Home Record	21-16-4
21-16-4	Home Record	21-16-4
7-3-0	Last 10 Games	5-5-0
2.84	Goals Per Game	3.37
3.22	Goals Against Per Game	3.35
16.94%	Power Play Percentage	19.00%
82.00%	Penalty Kill Percentage	79.62%

San Jose
42-32-8, 92pts

Box score

Grand Rapids
37-40-5, 79pts

Team Stats
W2	Streak	L1
21-16-4	Home Record	20-18-3
21-16-4	Home Record	17-22-2
5-5-0	Last 10 Games	3-7-0
3.37	Goals Per Game	3.10
3.35	Goals Against Per Game	3.34
19.00%	Power Play Percentage	21.78%
79.62%	Penalty Kill Percentage	83.58%

Team Leaders
Goals Dominik Simon 29		Assists Dominik Simon 51

Points Dominik Simon 80		Plus/Minus Dominik Simon 15

	Wins Connor Ingram 23		Save Percentage Connor Ingram 0.918

Team Stats
Goals For 276 3.37 GFG	Shots For 3006 36.66 Avg	Power Play Percentage 19.0% 61 GF	Offensive Zone Start 40.4%
Goals Against 275 3.35 GAA	Shots Against 3028 36.93 Avg	Penalty Kill Percentage 79.6%% 64 GA	Defensive Zone Start 42.0%

Team Info
	General Manager	Vincent Fournier
	Coach	Jack Capuano
	Division	Pacifique
	Conference	Conference ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,199
	Season Tickets	300
Roster Info
	Pro Team	21
	Farm Team	19
	Contract Limit	40 / 50
	Prospects	40

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	Saku Maenalanen			X		100.00	74	30	94	74	90	72	87	69	70	69	70	75	75	64	62	39	50	0	0	30	3	950,000$
2	Nikita Filatov		X	X		100.00	62	28	98	63	74	60	78	70	30	66	65	58	76	82	67	25	50	0	0	34	1	500,000$
3	Dominik Simon	X	X	X		100.00	61	27	99	75	77	82	86	74	68	73	73	62	80	60	53	49	50	0	0	29	1	875,000$
4	Drew Larman	X	X	X		100.00	66	32	82	37	70	60	84	67	53	64	67	66	68	99	84	7	50	0	0	39	1	500,000$
5	Sam Carrick	X		X		100.00	79	38	73	73	85	70	80	68	83	68	69	65	74	68	69	27	50	0	0	32	1	500,000$
6	Brian Flynn	X	X	X		100.00	68	17	88	59	75	64	88	64	79	65	66	66	75	68	71	17	50	0	0	35	1	700,000$
7	Sergei Kalinin	X	X	X		100.00	71	34	72	65	84	70	87	69	72	68	69	58	78	66	53	31	50	0	0	33	2	750,000$
8	Michael Grabner		X	X		100.00	67	34	98	63	74	69	92	70	57	68	71	66	72	85	76	22	50	0	0	36	2	750,000$
9	Zach Aston-Reese		X	X		100.00	82	39	92	76	85	78	91	68	71	67	71	67	76	62	61	45	50	0	0	29	1	1,500,000$
10	Michael Pezzetta		X	X		100.00	85	58	62	82	85	70	85	71	71	70	71	59	75	52	45	49	50	0	0	26	2	925,000$
11	Michael Eyssimont	X	X	X		100.00	81	45	81	77	81	76	99	66	67	69	69	69	76	56	54	50	50	0	0	27	2	925,000$
12	Cole Koepke (R)		X	X		100.00	90	35	93	82	82	74	97	70	70	68	72	69	70	53	52	60	50	0	0	26	1	500,000$
13	Justin Schultz				X	100.00	62	34	86	72	81	80	97	60	50	57	55	82	63	67	55	35	50	0	0	34	2	500,000$
14	Jack Johnson				X	100.00	62	29	87	50	75	82	90	54	25	51	50	91	70	96	88	24	50	0	0	37	2	800,000$
15	David Rundblad				X	100.00	57	33	94	67	92	75	84	56	50	54	52	89	69	70	61	30	50	0	0	33	2	500,000$
16	Ryan Suter				X	100.00	62	34	81	43	66	79	99	59	31	53	53	89	64	99	98	22	50	0	0	39	2	1,150,000$
17	Keith Yandle				X	100.00	68	32	81	55	75	76	94	66	33	57	58	85	69	92	85	24	50	0	0	37	1	1,750,000$
18	Dennis Gilbert				X	100.00	75	32	90	72	86	75	99	42	70	42	42	85	75	54	56	52	50	0	0	27	1	725,000$
19	Calle Rosen				X	100.00	73	24	84	73	82	76	99	51	70	52	54	90	74	65	67	45	50	0	0	30	1	1,050,000$
Scratches

	TEAM AVERAGE					100.00	71	33	86	66	80	73	90	64	59	62	63	73	73	71	66	34	50	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jakob Markstrom	100.00	63	87	81	82	78	87	87	86	87	77	83	82	81	41	50	0	0	34	2	1,000,000$
2	Connor Ingram	100.00	67	95	90	80	78	90	85	86	87	79	85	55	55	74	50	0	0	27	3	950,000$
Scratches

	TEAM AVERAGE	100.00	65	91	86	81	78	89	86	86	87	78	84	69	68	58	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jack Capuano	95	78	78	87	94	99	72	USA	57	1	1,500,000$

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dominik Simon	San Jose (S J)	C/LW/RW	82	29	51	80	15	2	0	3	141	275	76	185	10.55%	8	1524	18.60	8	17	25	71	278	0	0	0	0	0	4	3	47.12%	2120	1	0	1.05	0	1	0	0	0	5	5	2
2	Michael Pezzetta	San Jose (S J)	LW/RW	82	26	44	70	8	73	15	226	75	277	90	214	9.39%	4	1487	18.13	8	14	22	68	261	0	0	0	0	4	3	2	54.37%	103	0	0	0.94	0	0	1	0	2	7	2	5
3	Saku Maenalanen	San Jose (S J)	RW	79	28	40	68	4	14	0	47	66	270	70	192	10.37%	22	1266	16.03	4	13	17	52	202	0	0	0	0	13	1	2	49.18%	122	3	0	1.07	1	7	0	0	0	5	3	2
4	Zach Aston-Reese	San Jose (S J)	LW/RW	82	23	36	59	-4	40	0	125	114	318	78	211	7.23%	16	1644	20.05	6	6	12	75	260	0	0	0	8	234	4	2	47.73%	618	1	0	0.72	1	7	0	0	0	3	3	3
5	Michael Eyssimont	San Jose (S J)	C/LW/RW	82	23	32	55	-1	82	20	149	170	240	56	190	9.58%	17	1621	19.77	5	11	16	40	259	1	0	1	6	229	4	0	46.69%	2390	0	0	0.68	1	7	0	1	3	2	5	6
6	David Rundblad	San Jose (S J)	D	80	12	36	48	1	34	0	52	66	137	66	119	8.76%	150	1722	21.53	4	12	16	70	259	0	0	0	1	251	1	1	0%	0	0	0	0.56	0	0	0	0	0	0	0	2
7	Calle Rosen	San Jose (S J)	D	82	16	29	45	-10	66	0	132	83	172	65	125	9.30%	152	1876	22.88	8	9	17	82	264	0	0	0	4	226	5	1	0%	0	1	0	0.48	0	0	0	0	0	3	2	1
8	Keith Yandle	San Jose (S J)	D	82	6	37	43	-9	46	0	95	72	116	42	98	5.17%	152	1897	23.14	6	11	17	70	265	0	0	0	5	233	1	0	0%	0	0	0	0.45	0	0	0	0	0	0	2	4
9	Cole Koepke	San Jose (S J)	LW/RW	51	16	23	39	13	36	10	62	61	146	31	108	10.96%	6	972	19.07	3	5	8	23	119	0	0	0	4	90	1	0	41.86%	86	0	0	0.80	0	0	0	0	2	0	1	5
10	Sam Carrick	San Jose (S J)	C/RW	82	16	22	38	1	64	10	123	93	170	44	136	9.41%	6	973	11.87	1	0	1	1	12	0	0	0	0	5	1	1	52.48%	1269	0	0	0.78	0	0	0	0	2	2	0	2
11	Michael Grabner	San Jose (S J)	LW/RW	82	19	19	38	-3	2	0	13	52	224	51	172	8.48%	12	1517	18.51	4	3	7	32	118	0	0	0	8	247	4	2	35.61%	132	0	1	0.50	1	3	0	0	0	4	0	1
12	Ryan Suter	San Jose (S J)	D	82	13	24	37	3	82	0	127	52	124	47	93	10.48%	125	1749	21.34	4	6	10	57	271	0	1	1	0	232	3	1	0%	0	0	0	0.42	0	0	0	0	0	0	2	4
13	Jack Johnson	San Jose (S J)	D	82	9	26	35	14	68	0	65	54	79	24	56	11.39%	107	1268	15.47	0	0	0	4	10	0	0	0	0	26	1	0	0%	0	0	0	0.55	0	0	0	0	0	1	1	0
14	Nikita Filatov	San Jose (S J)	LW/RW	82	11	19	30	-3	6	0	7	31	126	39	80	8.73%	1	989	12.07	0	0	0	0	1	0	0	0	0	0	2	0	38.57%	70	0	0	0.61	0	0	0	0	0	0	2	2
15	Justin Schultz	San Jose (S J)	D	82	6	23	29	14	41	5	72	81	75	26	54	8.00%	105	1327	16.19	0	0	0	2	6	0	0	0	2	91	1	1	0%	0	0	0	0.44	0	0	0	1	0	0	1	2
16	Sergei Kalinin	San Jose (S J)	C/LW/RW	82	6	13	19	-1	25	5	44	38	111	31	72	5.41%	4	712	8.69	0	2	2	1	8	0	0	0	3	67	2	1	54.49%	156	0	0	0.53	0	1	1	0	0	1	0	1
17	Brian Flynn	San Jose (S J)	C/LW/RW	82	9	8	17	1	16	0	26	28	76	27	73	11.84%	4	700	8.55	0	0	0	0	0	0	1	1	1	94	2	0	62.79%	86	0	0	0.49	0	0	0	0	0	0	0	0
18	Drew Larman	San Jose (S J)	C/LW/RW	82	4	9	13	-2	8	0	37	36	59	17	40	6.78%	6	566	6.91	0	0	0	0	0	0	0	0	0	0	0	0	41.47%	680	0	0	0.46	0	0	0	0	0	0	0	2
19	Dennis Gilbert	San Jose (S J)	D	25	2	0	2	-5	8	0	6	5	11	2	7	18.18%	0	149	6.00	0	0	0	1	0	0	0	0	0	0	0	0	37.50%	8	0	0	0.27	0	0	0	0	0	0	0	1
Team Total or Average				1465	274	491	765	36	713	65	1411	1318	3006	882	2225	9.12%	897	23968	16.36	61	109	170	649	2602	1	2	3	42	2048	40	17	47.53%	7840	6	1	0.64	4	26	2	2	9	33	29	45

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	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Connor Ingram	San Jose (S J)	45	23	15	6	0.918	3.06	2645	4	135	1639	4	1	0.714	14	42	32	3	3	2
2	Jakob Markstrom	San Jose (S J)	40	19	17	2	0.905	3.41	2322	6	132	1386	4	2	0.727	11	40	46	4	2	2
Team Total or Average			85	42	32	8	0.912	3.23	4968	10	267	3025	8	3		25	82	78	7	5	4

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Brian Flynn	San Jose (S J)	C/LW/RW	35	1988-07-26	USA	No	191 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-09-26	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Calle Rosen	San Jose (S J)	D	30	1994-02-02	SWE	No	188 Lbs	6 ft1	No	No	N/A	No	No	1	2025-09-11	False	False	Pro & Farm	1,050,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cole Koepke	San Jose (S J)	LW/RW	26	1998-05-17	USA	Yes	196 Lbs	6 ft1	No	No	Prospect	No	No	1	2025-10-16	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Connor Ingram	San Jose (S J)	G	27	1997-03-31	CAN	No	196 Lbs	6 ft2	No	No	Prospect	No	No	3	2025-09-11	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
David Rundblad	San Jose (S J)	D	33	1990-10-08	SWE	No	194 Lbs	6 ft2	No	No	Free Agent	No	No	2	2025-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dennis Gilbert	San Jose (S J)	D	27	1996-10-30	USA	No	216 Lbs	6 ft2	No	No	Prospect	No	No	1	2025-09-11	False	False	Pro & Farm	725,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Dominik Simon	San Jose (S J)	C/LW/RW	29	1994-08-08	CZE	No	193 Lbs	5 ft11	No	No	N/A	No	No	1	2024-09-15	False	False	Pro & Farm	875,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Drew Larman	San Jose (S J)	C/LW/RW	39	1985-05-15	USA	No	186 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jack Johnson	San Jose (S J)	D	37	1987-01-13	USA	No	238 Lbs	6 ft1	No	No	Free Agent	No	No	2	2025-09-30	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jakob Markstrom	San Jose (S J)	G	34	1990-01-31	SWE	No	212 Lbs	6 ft6	No	No	Free Agent	No	No	2	2024-09-28	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Justin Schultz	San Jose (S J)	D	34	1990-06-07	CAN	No	199 Lbs	6 ft2	No	No	Free Agent	No	No	2	2025-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Keith Yandle	San Jose (S J)	D	37	1986-09-09	USA	No	215 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-02	False	False	Pro & Farm	1,750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Eyssimont	San Jose (S J)	C/LW/RW	27	1996-09-09	USA	No	180 Lbs	6 ft0	No	No	N/A	No	No	2	2024-09-15	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Michael Grabner	San Jose (S J)	LW/RW	36	1987-10-05	AUS	No	198 Lbs	6 ft0	No	No	Free Agent	No	No	2	2025-09-26	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michael Pezzetta	San Jose (S J)	LW/RW	26	1998-03-13	CAN	No	210 Lbs	6 ft1	No	No	N/A	No	No	2	2024-09-15	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Filatov	San Jose (S J)	LW/RW	34	1990-01-11	RUS	No	196 Lbs	6 ft6	No	No	Free Agent	No	No	1	2025-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Suter	San Jose (S J)	D	39	1985-01-21	USA	No	203 Lbs	6 ft1	No	No	Free Agent	No	No	2	2025-10-06	False	False	Pro & Farm	1,150,000$	0$	0$	No	1,150,000$	-	-	-	-	-	-	-	-	1,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Saku Maenalanen	San Jose (S J)	RW	30	1994-05-29	FIN	No	214 Lbs	6 ft4	No	No	N/A	No	No	3	2025-09-11	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sam Carrick	San Jose (S J)	C/RW	32	1992-02-04	CAN	No	205 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-10-08	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sergei Kalinin	San Jose (S J)	C/LW/RW	33	1991-03-17	RUS	No	205 Lbs	6 ft3	No	No	Free Agent	No	No	2	2025-09-24	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Zach Aston-Reese	San Jose (S J)	LW/RW	29	1994-08-10	USA	No	204 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-09-22	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	32.10	202 Lbs	6 ft2	1.62	847,619$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Pezzetta	Dominik Simon	Cole Koepke	32	0	0	5
2	Zach Aston-Reese	Michael Eyssimont	Michael Grabner	30	0	0	5
3	Nikita Filatov	Sam Carrick	Saku Maenalanen	26	0	0	5
4	Sergei Kalinin	Drew Larman	Brian Flynn	12	0	0	5

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Keith Yandle	Calle Rosen	36	0	1	4
2	Ryan Suter	David Rundblad	33	0	1	4
3	Jack Johnson	Justin Schultz	31	0	2	3
4	Calle Rosen	Keith Yandle	0	0	0	5

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Pezzetta	Dominik Simon	Cole Koepke	50	0	0	5
2	Zach Aston-Reese	Michael Eyssimont	Saku Maenalanen	50	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Keith Yandle	Calle Rosen	50	0	0	5
2	Ryan Suter	David Rundblad	50	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Eyssimont	Cole Koepke	50	0	5	0
2	Zach Aston-Reese	Michael Grabner	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Keith Yandle	Calle Rosen	50	0	5	0
2	Ryan Suter	David Rundblad	50	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Saku Maenalanen	50	0	5	0	Keith Yandle	Calle Rosen	50	0	5	0
2	Michael Eyssimont	50	0	5	0	Ryan Suter	David Rundblad	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brian Flynn	Michael Pezzetta	50	0	2	3
2	Zach Aston-Reese	Michael Grabner	50	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Keith Yandle	Calle Rosen	50	0	4	1
2	Ryan Suter	David Rundblad	50	0	4	1

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Grabner	Dominik Simon	Cole Koepke	Keith Yandle	Calle Rosen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Eyssimont	Dominik Simon	Saku Maenalanen	Keith Yandle	Calle Rosen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Sam Carrick, Michael Pezzetta, Sergei Kalinin	Michael Grabner, Michael Pezzetta	Sergei Kalinin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jack Johnson, Justin Schultz, Ryan Suter	Jack Johnson	Justin Schultz, Jack Johnson

Penalty Shots
Saku Maenalanen, Michael Eyssimont, Zach Aston-Reese, Michael Grabner, Dominik Simon

Goalie
#1 : Connor Ingram, #2 : Jakob Markstrom

Custom OT Lines Forwards
Saku Maenalanen, Michael Grabner, Zach Aston-Reese, Michael Eyssimont, Dominik Simon, Michael Pezzetta, Sam Carrick, Nikita Filatov, Sergei Kalinin, Brian Flynn

Custom OT Lines Defensemen
Keith Yandle, Calle Rosen, Ryan Suter, David Rundblad, Jack Johnson

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	Abbotsford	4	3	0	0	0	0	1	0	19	11	8	2	2	0	0	0	0	0	0	10	5	5	2	1	0	0	0	0	1	0	9	6	3	8	1.000	19	32	51	0	0	94	84	92	8	163	967	987	1012	66	181	45	54	77	11	1	9.09%	22	3	86.36%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
2	Bakersfield	5	2	2	0	1	0	0	0	14	14	0	3	1	1	0	1	0	0	0	11	9	2	2	1	1	0	0	0	0	0	3	5	-2	6	0.600	14	26	40	0	0	94	84	92	8	173	967	987	1012	66	202	52	61	84	16	1	6.25%	22	5	77.27%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
3	Bridgeport	2	1	1	0	0	0	0	0	11	6	5	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	8	1	7	2	0.500	11	20	31	0	0	94	84	92	8	87	967	987	1012	66	65	20	12	34	13	5	38.46%	6	2	66.67%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
4	Charlotte	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	6	10	16	1	0	94	84	92	8	69	967	987	1012	66	92	27	22	28	8	1	12.50%	11	1	90.91%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
5	Cleveland	2	1	0	0	0	1	0	0	8	8	0	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	8	14	22	0	0	94	84	92	8	64	967	987	1012	66	62	20	25	30	10	0	0.00%	4	0	100.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
6	Coachella Valley	5	2	2	0	0	0	1	0	15	16	-1	2	1	1	0	0	0	0	0	8	8	0	3	1	1	0	0	0	1	0	7	8	-1	6	0.600	15	27	42	0	0	94	84	92	8	164	967	987	1012	66	198	54	40	104	20	7	35.00%	20	4	80.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
7	Eagles	6	1	5	0	0	0	0	0	11	24	-13	3	1	2	0	0	0	0	0	7	12	-5	3	0	3	0	0	0	0	0	4	12	-8	2	0.167	11	21	32	0	0	94	84	92	8	180	967	987	1012	66	204	67	62	93	18	2	11.11%	25	4	84.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
8	Grand Rapids	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	16	24	0	0	94	84	92	8	79	967	987	1012	66	63	16	23	32	14	2	14.29%	8	2	75.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
9	Hartford	3	1	2	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	4	5	-1	2	0.333	14	23	37	1	0	94	84	92	8	101	967	987	1012	66	87	35	16	54	14	1	7.14%	7	3	57.14%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
10	Hershey	2	0	0	0	1	0	0	1	7	7	0	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	1	0	0	0	3	2	1	3	0.750	7	13	20	0	0	94	84	92	8	68	967	987	1012	66	63	18	18	22	3	0	0.00%	9	2	77.78%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
11	Iowa	5	2	2	0	0	0	0	1	21	22	-1	3	1	2	0	0	0	0	0	13	14	-1	2	1	0	0	0	0	0	1	8	8	0	5	0.500	21	38	59	0	0	94	84	92	8	218	967	987	1012	66	179	53	42	85	22	11	50.00%	19	4	78.95%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
12	Laval	4	3	0	0	0	0	0	1	13	9	4	2	1	0	0	0	0	0	1	9	7	2	2	2	0	0	0	0	0	0	4	2	2	7	0.875	13	22	35	0	0	94	84	92	8	129	967	987	1012	66	145	40	31	66	12	2	16.67%	13	0	100.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
13	Lehigh Valley	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	7	12	0	0	94	84	92	8	78	967	987	1012	66	69	16	17	35	8	0	0.00%	6	2	66.67%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
14	Manitoba	4	3	1	0	0	0	0	0	9	10	-1	2	2	0	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	3	6	-3	6	0.750	9	14	23	0	0	94	84	92	8	167	967	987	1012	66	153	51	30	60	20	2	10.00%	15	2	86.67%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
15	Ontario	6	3	2	0	0	1	0	0	23	24	-1	2	1	1	0	0	0	0	0	9	8	1	4	2	1	0	0	1	0	0	14	16	-2	7	0.583	23	42	65	0	0	94	84	92	8	215	967	987	1012	66	243	63	59	123	20	4	20.00%	27	7	74.07%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
16	Providence	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	8	13	0	0	94	84	92	8	63	967	987	1012	66	83	25	16	34	3	1	33.33%	8	2	75.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
17	Rochester	2	1	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	8	12	0	0	94	84	92	8	90	967	987	1012	66	60	15	17	34	9	0	0.00%	6	1	83.33%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
18	Rockford	4	2	2	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	5	5	0	4	0.500	14	23	37	1	0	94	84	92	8	139	967	987	1012	66	163	49	34	61	25	5	20.00%	17	4	76.47%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
19	San Diego	4	0	3	0	1	0	0	0	11	15	-4	2	0	1	0	1	0	0	0	8	8	0	2	0	2	0	0	0	0	0	3	7	-4	2	0.250	11	21	32	0	0	94	84	92	8	126	967	987	1012	66	168	61	42	71	16	3	18.75%	19	5	73.68%	1	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
20	Springfield	4	0	3	0	0	0	0	1	9	16	-7	2	0	1	0	0	0	0	1	5	8	-3	2	0	2	0	0	0	0	0	4	8	-4	1	0.125	9	16	25	0	0	94	84	92	8	137	967	987	1012	66	139	41	26	78	17	2	11.76%	12	3	75.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
21	Syracuse	2	1	0	0	0	1	0	0	6	5	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	11	17	0	0	94	84	92	8	70	967	987	1012	66	59	19	8	37	6	1	16.67%	4	1	75.00%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
22	Texas	4	3	0	0	0	0	0	1	17	12	5	2	2	0	0	0	0	0	0	7	4	3	2	1	0	0	0	0	0	1	10	8	2	7	0.875	17	28	45	0	0	94	84	92	8	162	967	987	1012	66	130	39	28	76	17	6	35.29%	14	2	85.71%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
23	Utica	3	3	0	0	0	0	0	0	18	6	12	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	13	3	10	6	1.000	18	35	53	0	0	94	84	92	8	166	967	987	1012	66	95	30	26	43	6	2	33.33%	13	3	76.92%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
24	Wilkes-Barre/Scranton	3	1	2	0	0	0	0	0	8	13	-5	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	6	-4	2	0.333	8	16	24	0	0	94	84	92	8	98	967	987	1012	66	125	41	14	50	13	2	15.38%	7	2	71.43%	0	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
	Total	82	36	32	0	4	3	2	5	276	275	1	41	18	16	0	3	1	0	3	149	144	5	41	18	16	0	1	2	2	2	127	131	-4	92	0.561	276	491	767	3	0	94	84	92	8	3006	967	987	1012	66	3028	897	723	1411	321	61	19.00%	314	64	79.62%	1	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
	_Since Last GM Reset	82	36	32	0	4	3	2	5	276	275	1	41	18	16	0	3	1	0	3	149	144	5	41	18	16	0	1	2	2	2	127	131	-4	92	0.561	276	491	767	3	0	94	84	92	8	3006	967	987	1012	66	3028	897	723	1411	321	61	19.00%	314	64	79.62%	1	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
	_Vs Conference	51	21	22	0	2	1	2	3	163	176	-13	25	12	10	0	2	0	0	1	93	87	6	26	9	12	0	0	1	2	2	70	89	-19	54	0.529	163	288	451	1	0	94	84	92	8	1844	967	987	1012	66	1960	575	478	912	202	44	21.78%	212	43	79.72%	1	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535
	_Vs Division	24	10	9	0	2	1	2	0	82	80	2	11	5	4	0	2	0	0	0	46	38	8	13	5	5	0	0	1	2	0	36	42	-6	29	0.604	82	148	230	0	0	94	84	92	8	841	967	987	1012	66	992	275	256	459	83	16	19.28%	110	24	78.18%	1	1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%	1915	1287	1973	635	1084	535

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	92	W2	276	491	767	3006	3028	897	723	1411	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	36	32	4	3	2	5	276	275

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	16	3	1	0	3	149	144

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	16	1	2	2	2	127	131

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
321	61	19.00%	314	64	79.62%	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
967	987	1012	66	94	84	92	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1518	3144	48.28%	1559	3274	47.62%	649	1369	47.41%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1915	1287	1973	635	1084	535

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	5	Bakersfield	2	San Jose	4	W			Box score
5	24	San Jose	5	Ontario	6	L	X		Box score
8	34	Eagles	4	San Jose	1	L			Box score
11	45	San Jose	1	Ontario	4	L			Box score
14	61	San Jose	4	Coachella Valley	3	W			Box score
15	68	Hartford	4	San Jose	2	L			Box score
19	85	Iowa	5	San Jose	3	L			Box score
21	97	San Jose	2	Eagles	6	L			Box score
24	108	San Jose	3	Abbotsford	1	W			Box score
26	117	Bakersfield	2	San Jose	3	W	X		Box score
28	132	San Jose	4	Iowa	3	W			Box score
30	141	San Jose	2	Springfield	5	L			Box score
32	148	Springfield	4	San Jose	3	L	X	X	Box score
33	159	San Jose	2	Laval	1	W			Box score
35	170	San Jose	2	Bakersfield	1	W			Box score
37	177	Abbotsford	3	San Jose	5	W			Box score
40	194	Manitoba	3	San Jose	4	W			Box score
42	209	San Jose	3	Lehigh Valley	2	W			Box score
44	219	San Jose	2	Springfield	3	L			Box score
45	224	Texas	2	San Jose	4	W			Box score
48	237	San Jose	4	Cleveland	5	L	X		Box score
50	248	Syracuse	3	San Jose	2	L	X		Box score
55	270	Abbotsford	2	San Jose	5	W			Box score
58	288	Rochester	5	San Jose	1	L			Box score
60	294	San Jose	0	Coachella Valley	3	L			Box score
62	309	San Jose	6	Abbotsford	5	W	X	X	Box score
64	319	Providence	1	San Jose	3	W			Box score
69	342	Texas	2	San Jose	3	W			Box score
72	361	San Diego	7	San Jose	6	L			Box score
74	370	San Jose	4	Hartford	5	L			Box score
76	385	Iowa	5	San Jose	7	W			Box score
78	397	San Jose	8	Bridgeport	1	W			Box score
80	409	San Jose	4	Syracuse	2	W			Box score
81	415	Rockford	6	San Jose	4	L			Box score
83	433	Springfield	4	San Jose	2	L			Box score
86	446	San Jose	2	San Diego	4	L			Box score
87	459	Iowa	4	San Jose	3	L			Box score
90	472	San Jose	1	Bakersfield	4	L			Box score
93	486	Hartford	3	San Jose	8	W			Box score
96	499	San Jose	1	San Diego	3	L			Box score
98	511	Lehigh Valley	3	San Jose	2	L			Box score
101	523	San Jose	4	Texas	5	L	X	X	Box score
103	537	Hershey	5	San Jose	4	L	X	X	Box score
105	547	San Jose	4	Iowa	5	L	X	X	Box score
107	562	Coachella Valley	2	San Jose	4	W			Box score
109	573	San Jose	3	Charlotte	6	L			Box score
110	584	Bridgeport	5	San Jose	3	L			Box score
112	595	San Jose	6	Texas	3	W			Box score
115	610	Manitoba	1	San Jose	2	W			Box score
119	630	San Jose	6	Utica	1	W			Box score
120	639	Charlotte	5	San Jose	3	L			Box score
123	656	San Jose	2	Providence	4	L			Box score
124	664	Coachella Valley	6	San Jose	4	L			Box score
127	676	San Jose	3	Hershey	2	W	X		Box score
129	687	Utica	3	San Jose	5	W			Box score
132	705	San Jose	1	Eagles	3	L			Box score
134	713	Wilkes-Barre/Scranton	3	San Jose	4	W			Box score
136	728	Ontario	4	San Jose	3	L			Box score
138	741	San Jose	4	Rockford	2	W			Box score
139	749	San Jose	3	Rochester	2	W			Box score
141	762	Wilkes-Barre/Scranton	4	San Jose	2	L			Box score
146	784	San Diego	1	San Jose	2	W	X		Box score
149	798	San Jose	2	Wilkes-Barre/Scranton	6	L			Box score
151	808	Rockford	1	San Jose	5	W			Box score
154	828	Laval	2	San Jose	5	W			Box score
155	837	San Jose	2	Laval	1	W			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
157	848	San Jose	3	Manitoba	2	W			Box score
159	857	Laval	5	San Jose	4	L	X	X	Box score
161	867	San Jose	7	Utica	2	W			Box score
163	881	Grand Rapids	3	San Jose	4	W	X		Box score
167	904	Eagles	2	San Jose	3	W			Box score
170	914	San Jose	4	Ontario	3	W			Box score
173	928	San Jose	1	Eagles	3	L			Box score
174	933	Bakersfield	5	San Jose	4	L			Box score
176	945	San Jose	1	Rockford	3	L			Box score
179	958	Ontario	4	San Jose	6	W			Box score
181	968	San Jose	0	Manitoba	4	L			Box score
184	980	San Jose	3	Coachella Valley	2	W	X	X	Box score
185	984	San Jose	4	Ontario	3	W			Box score
187	992	Eagles	6	San Jose	3	L			Box score
192	1012	Cleveland	3	San Jose	4	W			Box score
193	1021	San Jose	4	Grand Rapids	2	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	30
Attendance	60,421	29,746
Attendance PCT	73.68%	72.55%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2199 - 73.31%	128,857$	5,283,122$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,258,775$	1,780,000$	1,780,000$	1,500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
9,128$	1,758,706$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	16,821$	0$

San Jose 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 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 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 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 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
	GP: 82 \| W: 42 \| L: 32 \| OTL: 8 \| P: 92 GF: 276 \| GA: 275 \| PP%: 19.00% \| PK%: 79.62% GM : Vincent Fournier \| Morale : 50 \| Team Overall : N/A