Day : 112

VEG - 3
TOR - 7

DET - 1
MIN - 6

VAN - 4
CHI - 3

COL - 4
SJS - 5

SEA - 2
UTA - 4

BOS - 5
QUE - 4

CGY - 3
EDM - 2

NSH - 2
MTL - 6

TBL - 0
CLB - 4

OTT - 1
BUF - 5

CHI - 1
NUU - 3

PAR - 3
POR - 7

CHI - 5
HOU - 2

CTW - 3
PRO - 6

Day : 113

(33-15-8) - L3
(37-13-4) - W1

(12-39-5) - L2
(29-23-3) - W3

(29-22-6) - W3
(37-15-3) - W17

(12-39-6) - L2
(31-20-4) - W2

(30-22-4) - W2
(35-16-4) - W1

(29-21-2) - L1
(18-30-7) - L3

(30-19-7) - W1
(30-22-4) - W4

(12-41-3) - L2
(24-28-4) - L1

(32-19-4) - W2
(12-36-8) - L1

(37-15-2) - W13
(42-11-3) - L1

(19-28-7) - W1
(28-24-4) - L1

(31-16-1) - L1
(31-12-5) - L1

(39-8-4) - W4
(39-30-6) - L3

(41-11-0) - W3
(41-8-6) - L1

(18-23-8) - L2
(18-29-6) - L1

Game Center
	San Jose Barracuda 18-23-8, 44pts	3	FINAL	5	Blainville-Boisbriand Armada 39-8-4, 82pts

Team Stats
L2	Streak	W4
11-11-4	Home Record	21-2-3
7-12-4	Home Record	18-6-1
2-6-2	Last 10 Games	9-1-0
3.08	Goals Per Game	5.43
4.16	Goals Against Per Game	3.22
20.00%	Power Play Percentage	30.77%
75.29%	Penalty Kill Percentage	77.48%

Binghamton Senators
24-22-5, 53pts

4

FINAL

3

San Jose Barracuda
18-23-8, 44pts

Team Stats
W4	Streak	L2
14-11-1	Home Record	11-11-4
10-11-4	Home Record	7-12-4
6-3-1	Last 10 Games	2-6-2
3.63	Goals Per Game	3.08
3.94	Goals Against Per Game	4.16
17.06%	Power Play Percentage	20.00%
80.38%	Penalty Kill Percentage	75.29%

San Jose Barracuda
18-23-8, 44pts

Day 113

Joliette Sportif
17-29-6, 40pts

Team Stats
L2	Streak	L1
11-11-4	Home Record	10-12-3
7-12-4	Away Record	7-17-3
2-6-2	Last 10 Games	4-4-2
3.08	Goals Per Game	3.29
4.16	Goals Against Per Game	3.29
20.00%	Power Play Percentage	22.67%
75.29%	Penalty Kill Percentage	70.24%

San Jose Barracuda
18-23-8, 44pts

Day 115

Henderson Silver Knights
29-23-1, 59pts

Team Stats
L2	Streak	L1
11-11-4	Home Record	17-7-1
7-12-4	Away Record	12-16-0
2-6-2	Last 10 Games	6-4-0
3.08	Goals Per Game	4.17
4.16	Goals Against Per Game	4.17
20.00%	Power Play Percentage	26.34%
75.29%	Penalty Kill Percentage	77.72%

Albany Devils
16-36-1, 33pts

Day 116

San Jose Barracuda
18-23-8, 44pts

Team Stats
OTL1	Streak	L2
9-15-1	Home Record	11-11-4
7-21-0	Away Record	7-12-4
3-6-1	Last 10 Games	2-6-2
3.09	Goals Per Game	3.08
5.04	Goals Against Per Game	3.08
18.87%	Power Play Percentage	20.00%
69.33%	Penalty Kill Percentage	75.29%

Team Leaders
	Goals Maxime St-Cyr 23	Assists Alex Beaucage 28

	Points Antoine Waked 43	Plus/Minus Samuel Regis 7

	Wins Chase Marchand 11	Save Percentage Chase Marchand 0.872

Team Stats
Goals For 151 3.08 GFG	Shots For 1607 32.80 Avg	Power Play Percentage 20.0% 29 GF	Offensive Zone Start 37.3%
Goals Against 204 4.16 GAA	Shots Against 1566 31.96 Avg	Penalty Kill Percentage 75.3%% 43 GA	Defensive Zone Start 37.4%

Team Info
	General Manager	Olivier Coudé
	Coach	Glen Dr. Shot Tucker
	Division	Leetch
	Conference	Fortunus
	Captain	Derick Brassard
	Assistant #1	Maxime St-Cyr
	Assistant #2	Antoine Waked
Arena Info
	Capacity	3,000
	Attendance	2,999
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 50
	Prospects	19

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	Antoine Waked (A)			X		100.00	88	40	82	80	85	87	83	81	60	76	74	69	73	76	76	5	50	0	0	28	1	2,000,000$
2	Derick Brassard (C)	X	X	X		100.00	75	35	87	73	73	80	80	79	82	72	70	62	78	99	99	70	50	0	0	37	1	850,000$
3	Alex Beaucage (R)		X	X		100.00	82	40	85	81	82	85	83	80	68	73	72	65	72	70	69	6	50	0	0	23	2	1,200,000$
4	William Rouleau (R)		X			100.00	57	25	86	75	67	80	70	72	58	64	64	64	67	63	64	3	50	0	0	23	3	750,000$
5	William Dufour (R)			X		100.00	76	25	77	77	87	78	82	78	66	72	73	66	81	70	65	6	50	0	0	22	2	850,000$
6	Marcus Kruger	X	X	X		100.00	77	35	91	78	73	75	78	77	76	70	71	71	74	99	99	1	50	0	0	34	1	800,000$
7	Jean-Christophe Beaudin	X		X		100.00	80	40	83	81	80	82	70	79	73	74	71	67	71	80	80	5	50	0	0	27	1	1,300,000$
8	Maxime St-Cyr (A)	X				100.00	68	28	97	86	75	80	72	80	75	73	74	68	74	83	83	1	50	0	0	30	1	1,800,000$
9	Peter Abbandonato (R)	X				100.00	61	25	97	81	77	88	87	81	75	76	73	71	71	73	75	6	50	0	0	26	1	1,250,000$
10	Félix Bibeau (R)	X				100.00	82	35	85	78	82	86	83	79	73	74	74	72	72	74	77	6	50	0	0	25	1	1,100,000$
11	Vincent Marleau (R)			X		100.00	74	40	82	76	76	77	70	73	68	67	64	68	66	63	63	3	50	0	0	25	2	800,000$
12	Cameron Hughes	X	X			100.00	68	39	86	81	73	81	73	78	73	72	71	67	72	79	78	5	50	0	0	28	1	1,500,000$
13	Justin Bergeron (R)				X	100.00	80	45	79	75	81	86	85	77	50	72	65	84	63	71	70	5	50	0	0	24	2	1,400,000$
14	Samuel Regis (R)				X	100.00	75	38	83	76	80	84	82	75	50	71	64	86	60	70	69	5	50	0	0	23	2	1,300,000$
15	Chad Krys (R)				X	100.00	77	38	77	76	76	79	65	75	50	68	60	84	60	75	77	5	50	0	0	26	1	900,000$
16	Dan DeKeyser				X	100.00	89	38	78	75	80	79	78	77	50	74	66	88	66	95	99	1	50	0	0	34	1	800,000$
17	Ben Harpur				X	100.00	95	48	72	73	92	84	84	76	50	71	66	89	60	81	81	6	50	0	0	29	1	800,000$
18	Jacob Neveu (R)				X	100.00	92	40	78	72	87	83	85	72	50	71	62	86	52	74	83	5	50	0	0	26	1	1,000,000$
Scratches
1	Jeff Carter	X		X		100.00	72	35	88	71	75	82	82	82	78	70	72	71	84	99	99	1	50	0	0	39	1	865,000$
2	Cole Sanford	X		X		100.00	75	45	74	77	72	78	69	71	70	65	65	67	70	66	65	1	50	0	0	29	2	650,000$
3	Alexis Arsenault (R)				X	100.00	76	45	73	74	77	80	74	74	50	68	61	81	58	64	65	4	50	0	0	24	2	800,000$
4	Noah Warren (R)				X	93.25	87	35	78	74	85	79	80	73	50	69	60	85	60	64	64	6	50	0	0	20	1	925,000$
5	Zachary Lauzon (R)				X	100.00	87	47	75	72	83	76	64	71	50	64	60	82	55	63	67	3	50	0	0	26	1	800,000$

	TEAM AVERAGE					99.70	78	37	82	77	79	81	77	77	63	71	67	74	68	76	77	7	50	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Zachary Emond (R)	100.00	87	84	84	86	84	84	84	84	83	83	80	68	66	6	50	0	0	24	2	1,300,000$
2	Chase Marchand	100.00	88	82	84	82	86	85	84	84	85	84	86	66	68	6	50	0	0	29	4	1,750,000$
Scratches
1	Patrik Hamrla (R)	100.00	81	79	81	84	82	80	80	77	81	78	82	62	61	6	50	0	0	21	1	800,000$

	TEAM AVERAGE	100.00	85	82	83	84	84	83	83	82	83	82	83	65	65	6	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Glen Dr. Shot Tucker	64	65	87	72	65	65	70	CAN	54	3	1,000,000$

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	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	GA	TA	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Antoine Waked	RW	49	19	24	43	-10	26	0	97	42	155	51	93	12.26%	19	955	19.50	4	8	12	25	114	1	2	3	10	126	1	0	49.06%	53	90	10	1	1	0.90	0	0	0	2	4	1
2	Maxime St-Cyr	C	49	23	17	40	-2	2	0	32	31	141	50	74	16.31%	7	697	14.23	6	7	13	27	85	1	0	1	1	6	4	1	48.05%	462	82	11	0	1	1.15	0	3	0	3	5	0
3	Alex Beaucage	LW/RW	49	9	28	37	-6	8	0	59	30	110	44	70	8.18%	15	805	16.44	4	5	9	15	106	0	0	0	0	0	2	1	41.94%	31	74	6	0	0	0.92	0	0	0	1	1	4
4	William Dufour	RW	49	14	21	35	-5	26	0	69	32	100	31	66	14.00%	9	780	15.93	4	8	12	18	117	0	0	0	0	0	2	1	46.67%	45	41	6	0	1	0.90	0	3	0	1	0	3
5	Félix Bibeau	C	49	18	17	35	-15	16	0	61	60	135	41	69	13.33%	25	953	19.45	4	4	8	15	108	1	0	1	8	132	1	1	52.52%	914	57	19	0	1	0.73	0	0	0	4	1	0
6	Peter Abbandonato	C	38	16	16	32	1	4	0	18	55	102	32	68	15.69%	12	645	16.99	1	1	2	7	42	5	0	5	9	95	2	2	48.17%	546	65	13	0	0	0.99	0	0	0	4	3	0
7	Cameron Hughes	C/LW	49	8	22	30	0	2	0	46	40	92	29	55	8.70%	17	724	14.78	2	4	6	4	40	0	2	2	1	59	2	0	58.54%	82	63	12	0	0	0.83	0	0	0	0	0	3
8	Justin Bergeron	D	49	3	18	21	-22	28	0	62	98	63	30	37	4.76%	74	1088	22.21	1	3	4	7	125	1	1	2	5	141	0	0	0.00%	0	6	52	0	0	0.39	0	0	0	0	1	0
9	Samuel Regis	D	44	4	13	17	7	20	0	47	78	63	28	23	6.35%	71	865	19.68	1	1	2	4	61	0	1	1	0	81	1	1	0.00%	0	8	47	0	0	0.39	0	1	0	1	1	0
10	Derick Brassard	C/LW/RW	35	7	6	13	-2	2	0	33	21	56	25	36	12.50%	5	370	10.58	0	0	0	0	0	0	1	1	0	1	0	0	56.58%	228	28	2	0	0	0.70	1	2	0	1	0	2
11	Noah Warren	D	45	0	13	13	-18	34	0	74	81	71	25	34	0.00%	75	990	22.02	0	1	1	14	101	0	4	4	0	122	0	0	0.00%	0	5	47	0	0	0.26	0	0	0	0	0	0
12	Jean-Christophe Beaudin	C/RW	49	3	10	13	-13	14	0	46	26	66	31	59	4.55%	8	559	11.42	0	0	0	0	7	0	0	0	0	0	0	1	38.68%	106	55	10	0	0	0.46	0	0	0	0	0	0
13	Marcus Kruger	C/LW/RW	38	7	5	12	-7	0	0	39	26	69	17	43	10.14%	12	471	12.42	0	0	0	0	0	0	2	2	3	57	1	0	57.14%	14	34	7	0	0	0.51	0	1	0	0	1	1
14	Jacob Neveu	D	30	2	10	12	-8	28	0	58	67	35	19	26	5.71%	63	663	22.12	0	4	4	6	87	0	0	0	1	73	0	0	0.00%	0	3	38	0	0	0.36	0	0	0	0	1	0
15	Chad Krys	D	46	0	10	10	-20	36	0	55	84	53	35	27	0.00%	55	987	21.46	0	1	1	7	88	0	0	0	2	92	0	0	0.00%	0	2	49	0	0	0.20	0	0	0	0	0	1
16	Ben Harpur	D	16	3	4	7	6	18	0	19	20	22	8	8	13.64%	24	261	16.32	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	10	0	0	0.54	0	0	0	0	0	0
17	Vincent Marleau	RW	49	3	4	7	-21	18	0	40	27	65	24	32	4.62%	8	496	10.13	0	0	0	0	0	0	0	0	0	0	0	0	39.29%	28	26	7	0	0	0.28	0	0	0	0	1	0
18	Alexis Arsenault	D	24	1	5	6	-9	14	0	24	40	27	12	14	3.70%	39	379	15.81	0	0	0	0	2	0	0	0	0	10	1	0	0.00%	0	1	24	0	0	0.32	0	0	0	0	0	0
19	Dan DeKeyser	D	17	1	5	6	-3	22	0	29	29	21	8	7	4.76%	29	309	18.22	0	0	0	0	0	0	0	0	0	9	0	0	0.00%	0	1	24	0	0	0.39	0	0	0	0	0	0
20	Bruno-Carl Denis	D	7	0	4	4	-1	2	0	10	11	11	5	4	0.00%	11	132	18.94	0	0	0	0	5	0	2	2	0	19	0	0	0.00%	0	0	8	0	0	0.60	0	0	0	0	0	0
21	William Rouleau	LW	31	0	3	3	-7	0	0	12	4	31	8	19	0.00%	7	317	10.23	0	0	0	0	0	0	0	0	0	0	0	0	20.00%	10	12	1	0	0	0.19	0	0	0	0	0	0
22	Cole Sanford	C/RW	39	2	0	2	-15	12	0	28	12	20	9	14	10.00%	2	277	7.12	0	0	0	0	0	0	0	0	0	0	1	0	45.00%	80	8	3	0	0	0.14	0	0	0	0	0	0
23	Zachary Lauzon	D	16	0	1	1	-3	6	0	22	18	17	12	18	0.00%	22	245	15.34	0	0	0	0	0	0	0	0	0	5	0	0	0.00%	0	3	16	0	0	0.08	0	0	0	0	0	0
24	Jeff Carter	C/RW	16	0	0	0	0	0	0	1	0	0	0	0	0.00%	0	2	0.14	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				883	143	256	399	-173	338	0	981	932	1525	574	896	9.38%	609	13979	15.83	27	47	74	149	1096	9	15	24	40	1036	18	8	50.02%	2599	664	422	1	4	0.57	1	10	0	17	19	15

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S3
1	Chase Marchand	San Jose Barracuda (SJS)	31	11	14	5	0.872	4.08	1781	0	121	945	492	1	2	0.333	6	30	18	2	1
2	Zachary Emond	San Jose Barracuda (SJS)	11	2	5	1	0.856	4.54	542	1	41	284	138	0	0	0.667	3	8	26	1	0
Team Total or Average			42	13	19	6	0.868	4.18	2323	1	162	1229	630	1	2		9	38	44	3	1

Player Name	POS	Age	Birthday	Terms	Contract	Cap %	Year 2024	Year 2025	Year 2026	Year 2027	Year 2028	Year 2029	Year 2030
Forward
Alex Beaucage	LW/RW	23	2001-01-02	TW	2	0.00%	1,200,000$	1,200,000$	RFA ( Groupe: 2 ) [Age: 25]
Antoine Waked	RW	28	1996-01-22	TW	1	0.00%	2,000,000$	UFA [Age: 29]
Cameron Hughes	C/LW	28	1996-01-22	TW	1	0.00%	1,500,000$	UFA [Age: 29]
Cole Sanford	C/RW	29	1995-01-02	TW	2	0.00%	750,000$	750,000$	UFA [Age: 31]
Derick Brassard	C/LW/RW	37	1987-01-22	TW	1	0.00%	850,000$	UFA [Age: 38]
Félix Bibeau	C	25	1999-01-22	TW	1	0.00%	1,100,000$	RFA ( Groupe: 2 ) [Age: 26]
Jean-Christophe Beaudin	C/RW	27	1997-01-02	TW	1	0.00%	1,300,000$	UFA [Age: 28]
Jeff Carter	C/RW	39	1985-01-22	TW	1	0.00%	865,000$	UFA [Age: 40]
Marcus Kruger	C/LW/RW	34	1990-01-22	TW	1	0.00%	800,000$	UFA [Age: 35]
Maxime St-Cyr	C	30	1994-01-22	TW	1	0.00%	1,800,000$	UFA [Age: 31]
Peter Abbandonato	C	26	1998-01-22	TW	1	0.00%	1,250,000$	RFA ( Groupe: 2 ) [Age: 27]
Vincent Marleau	RW	25	1999-01-22	TW	2	0.00%	800,000$	800,000$	RFA ( Groupe: 2 ) [Age: 27]
William Dufour	RW	22	2002-01-02	TW	2	0.00%	850,000$	850,000$	RFA ( Groupe: 2 ) [Age: 24]
William Rouleau	LW	23	2001-01-02	TW	3	0.00%	750,000$	750,000$	750,000$	RFA ( Groupe: 2 ) [Age: 26]
AVERAGE (14)		28.29				0.00%	0$	4,250,000$	750,000$	0$	0$	0$	0$
Defenseman
Alexis Arsenault	D	24	2000-01-02	TW	2	0.00%	800,000$	800,000$	RFA ( Groupe: 2 ) [Age: 26]
Ben Harpur	D	29	1995-01-22	TW	1	0.00%	800,000$	UFA [Age: 30]
Chad Krys	D	26	1998-01-02	TW	1	0.00%	900,000$	RFA ( Groupe: 2 ) [Age: 27]
Dan DeKeyser	D	34	1990-01-22	TW	1	0.00%	800,000$	UFA [Age: 35]
Jacob Neveu	D	26	1998-01-22	TW	1	0.00%	1,000,000$	RFA ( Groupe: 2 ) [Age: 27]
Justin Bergeron	D	24	2000-01-02	TW	2	0.00%	1,400,000$	1,400,000$	RFA ( Groupe: 2 ) [Age: 26]
Noah Warren	D	20	2004-01-02	IN TW	1	0.00%	925,000$	RFA ( Groupe: 1 )[Age: 21]
Samuel Regis	D	23	2001-01-02	TW	2	0.00%	1,300,000$	1,300,000$	RFA ( Groupe: 2 ) [Age: 25]
Zachary Lauzon	D	26	1998-01-22	TW	1	0.00%	800,000$	RFA ( Groupe: 2 ) [Age: 27]
AVERAGE (9)		25.78				0.00%	0$	3,500,000$	0$	0$	0$	0$	0$
Goalies
Chase Marchand	G	29	1995-01-22	TW	4	0.00%	1,700,000$	1,700,000$	2,050,000$	2,050,000$	UFA [Age: 33]
Patrik Hamrla	G	21	2003-01-02	TW	1	0.00%	800,000$	RFA ( Groupe: 1 )[Age: 22]
Zachary Emond	G	24	2000-01-02	TW	2	0.00%	1,300,000$	1,300,000$	RFA ( Groupe: 2 ) [Age: 26]

Terms Legends : FV = Force Waiver / NT = No Trade / IN = Injured / TW = Two Way Contract (Can Play Pro + Can Play Farm)

Note: The salary cap amounts for the current year and the % of salary cap are based on a calculation of the simple salary cap calculation (Average Salary or Salary for the year depending on your salary options). If your salary cap is based on complex calculation, the results of this analysis could be incorrect by a small margin. The Current Year Pro Salary Cap is : 89,000,050$.

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Beaucage	Félix Bibeau	Antoine Waked	36	0	3	2
2	Cameron Hughes	Peter Abbandonato	William Dufour	32	0	4	1
3	Marcus Kruger	Maxime St-Cyr	Jean-Christophe Beaudin	20	2	2	1
4	William Rouleau	Derick Brassard	Vincent Marleau	12	4	1	0

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Neveu	Justin Bergeron	33	0	4	1
2	Samuel Regis	Ben Harpur	33	1	4	0
3	Dan DeKeyser	Chad Krys	33	2	3	0
4	Dan DeKeyser	Jacob Neveu	1	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Beaucage	Félix Bibeau	Antoine Waked	50	0	0	5
2	Cameron Hughes	Maxime St-Cyr	William Dufour	50	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Samuel Regis	Justin Bergeron	50	0	3	2
2	Chad Krys	Jacob Neveu	50	0	3	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Félix Bibeau	Antoine Waked	50	0	5	0
2	Peter Abbandonato	Marcus Kruger	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Neveu	Justin Bergeron	50	1	4	0
2	Samuel Regis	Chad Krys	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Félix Bibeau	50	0	5	0	Jacob Neveu	Justin Bergeron	50	0	5	0
2	Peter Abbandonato	50	0	5	0	Chad Krys	Samuel Regis	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Maxime St-Cyr	Alex Beaucage	50	1	3	1
2	Félix Bibeau	Antoine Waked	50	1	3	1

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Neveu	Justin Bergeron	50	1	4	0
2	Samuel Regis	Dan DeKeyser	50	1	4	0

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Beaucage	Félix Bibeau	Antoine Waked	Samuel Regis	Justin Bergeron

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Marcus Kruger	Peter Abbandonato	Antoine Waked	Jacob Neveu	Justin Bergeron

Extra Forwards
Normal	PowerPlay	Penalty Kill
William Dufour, Maxime St-Cyr, Derick Brassard	Maxime St-Cyr, Peter Abbandonato	Cameron Hughes

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Justin Bergeron, Jacob Neveu, Samuel Regis	Chad Krys	Samuel Regis, Dan DeKeyser

Penalty Shots
Derick Brassard, William Dufour, Maxime St-Cyr, Marcus Kruger, Antoine Waked

Goalie
#1 : Chase Marchand, #2 : Zachary Emond

Custom OT Lines Forwards
Félix Bibeau, Alex Beaucage, Maxime St-Cyr, Antoine Waked, Peter Abbandonato, William Dufour, William Dufour, Derick Brassard, Cameron Hughes, Marcus Kruger, Jean-Christophe Beaudin

Custom OT Lines Defensemen
Justin Bergeron, Jacob Neveu, Samuel Regis, Dan DeKeyser, Chad Krys

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	Binghamton Senators	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	67	41	40	4	34	562	510	517	27	34	8	4	24	3	0	0.00%	2	1	50.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
2	Blainville-Boisbriand Armada	3	0	3	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	7	13	20	1	0	67	41	40	4	91	562	510	517	27	106	51	10	69	8	2	25.00%	5	1	80.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
3	Bridgeport Sound Tigers	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	67	41	40	4	25	562	510	517	27	28	11	6	26	0	0	0%	3	1	66.67%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
4	Charlotte Checkers	2	0	0	0	2	0	0	0	8	6	2	1	0	0	0	1	0	0	0	6	5	1	1	0	0	0	1	0	0	0	2	1	1	4	1.000	8	16	24	0	0	67	41	40	4	65	562	510	517	27	71	20	16	54	2	1	50.00%	9	2	77.78%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
5	Chicoutimi Saguenéens	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	67	41	40	4	36	562	510	517	27	29	13	4	21	4	0	0.00%	2	0	100.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
6	Connecticut Whale	1	0	0	0	0	1	0	0	5	6	-1	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	5	9	14	0	0	67	41	40	4	34	562	510	517	27	28	15	12	19	5	0	0.00%	6	3	50.00%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
7	Danbury Trashers	3	1	0	0	0	2	0	0	8	8	0	1	1	0	0	0	0	0	0	4	2	2	2	0	0	0	0	2	0	0	4	6	-2	4	0.667	8	15	23	0	0	67	41	40	4	87	562	510	517	27	76	30	18	81	10	2	20.00%	9	0	100.00%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
8	Grand Rapids Griffins	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	67	41	40	4	31	562	510	517	27	38	14	6	13	2	0	0.00%	3	0	100.00%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
9	Hamilton Bulldogs	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	67	41	40	4	33	562	510	517	27	30	11	10	10	7	0	0.00%	5	0	100.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
10	Henderson Silver Knights	4	1	3	0	0	0	0	0	15	26	-11	1	1	0	0	0	0	0	0	7	5	2	3	0	3	0	0	0	0	0	8	21	-13	2	0.250	15	23	38	0	0	67	41	40	4	137	562	510	517	27	135	48	26	66	17	4	23.53%	12	4	66.67%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
11	Houston Aeros	5	2	2	0	0	0	0	1	14	14	0	4	1	2	0	0	0	0	1	9	11	-2	1	1	0	0	0	0	0	0	5	3	2	5	0.500	14	26	40	0	1	67	41	40	4	179	562	510	517	27	146	66	32	98	20	4	20.00%	16	4	75.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
12	Lake Erie Monsters	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	67	41	40	4	36	562	510	517	27	34	13	6	17	2	1	50.00%	3	1	66.67%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
13	Laval Chiefs	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	67	41	40	4	27	562	510	517	27	28	13	6	28	0	0	0%	3	2	33.33%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
14	Manitoba Moose	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	9	15	24	0	0	67	41	40	4	70	562	510	517	27	53	16	12	52	7	2	28.57%	6	2	66.67%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
15	Milwaukee Admirals	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	67	41	40	4	35	562	510	517	27	35	18	14	17	3	0	0.00%	7	3	57.14%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
16	Norfolk Admirals	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	67	41	40	4	29	562	510	517	27	26	11	8	24	3	1	33.33%	4	1	75.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
17	Portland Crying Chiwawas	4	2	1	0	0	0	0	1	17	16	1	3	2	0	0	0	0	0	1	14	7	7	1	0	1	0	0	0	0	0	3	9	-6	5	0.625	17	29	46	0	0	67	41	40	4	129	562	510	517	27	138	51	34	80	11	3	27.27%	17	3	82.35%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
18	Providence Bruins	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	67	41	40	4	22	562	510	517	27	39	14	12	16	1	0	0.00%	6	0	100.00%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
19	Rochester Americans	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	67	41	40	4	34	562	510	517	27	25	14	10	26	2	0	0.00%	5	1	80.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
20	San Antonio Rampage	7	2	5	0	0	0	0	0	15	32	-17	3	1	2	0	0	0	0	0	7	15	-8	4	1	3	0	0	0	0	0	8	17	-9	4	0.286	15	26	41	1	0	67	41	40	4	248	562	510	517	27	237	89	46	155	27	5	18.52%	23	7	69.57%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
21	Springfield Falcons	2	1	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	9	9	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	16	25	0	0	67	41	40	4	61	562	510	517	27	64	24	14	34	3	2	66.67%	7	2	71.43%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
22	The Nuuk Vikings	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	67	41	40	4	37	562	510	517	27	35	11	10	14	1	0	0.00%	5	2	60.00%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
23	Trois-Rivières Lions	2	0	0	0	0	2	0	0	8	10	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	2	0	0	8	10	-2	2	0.500	8	14	22	0	0	67	41	40	4	66	562	510	517	27	65	37	18	48	3	0	0.00%	9	1	88.89%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
24	Verdun Junior	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	67	41	40	4	26	562	510	517	27	30	13	8	24	2	1	50.00%	4	0	100.00%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
25	Wilkes-Barre/Scranton Penguins	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	67	41	40	4	35	562	510	517	27	36	12	6	23	2	1	50.00%	3	2	33.33%	0	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
	Total	49	15	23	0	3	5	0	3	151	204	-53	26	9	11	0	2	1	0	3	89	103	-14	23	6	12	0	1	4	0	0	62	101	-39	44	0.449	151	265	416	2	1	67	41	40	4	1607	562	510	517	27	1566	623	348	1039	145	29	20.00%	174	43	75.29%	9	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
	_Since Last GM Reset	49	15	23	0	3	5	0	3	151	204	-53	26	9	11	0	2	1	0	3	89	103	-14	23	6	12	0	1	4	0	0	62	101	-39	44	0.449	151	265	416	2	1	67	41	40	4	1607	562	510	517	27	1566	623	348	1039	145	29	20.00%	174	43	75.29%	9	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
	_Vs Conference	35	12	15	0	3	3	0	2	112	143	-31	19	8	6	0	2	1	0	2	71	73	-2	16	4	9	0	1	2	0	0	41	70	-29	35	0.500	112	196	308	1	1	67	41	40	4	1155	562	510	517	27	1102	421	252	754	110	25	22.73%	126	32	74.60%	6	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364
	_Vs Division	11	7	11	0	0	0	0	2	36	55	-19	5	5	4	0	0	0	0	2	23	15	8	6	2	7	0	0	0	0	0	13	40	-27	16	0.727	36	59	95	0	0	67	41	40	4	363	562	510	517	27	366	134	86	198	36	7	19.44%	42	11	73.81%	1	496	970	51.13%	504	973	51.80%	320	658	48.63%	1125	735	1108	385	736	364

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
49	44	L2	151	265	416	1607	1566	623	348	1039	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
49	15	23	3	5	0	3	151	204

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	9	11	2	1	0	3	89	103

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	6	12	1	4	0	0	62	101

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	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
145	29	20.00%	174	43	75.29%	9

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
562	510	517	27	67	41	40	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
496	970	51.13%	504	973	51.80%	320	658	48.63%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1125	735	1108	385	736	364

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
Day:1
1	2	San Jose Barracuda	1	San Antonio Rampage	6	L			BoxScore
Day:3
3	25	San Antonio Rampage	5	San Jose Barracuda	3	L			BoxScore
Day:4
4	28	San Jose Barracuda	5	Henderson Silver Knights	7	L			BoxScore
Day:8
8	51	Houston Aeros	3	San Jose Barracuda	2	L			BoxScore
Day:12
12	81	Houston Aeros	3	San Jose Barracuda	2	L			BoxScore
Day:15
15	102	Portland Crying Chiwawas	3	San Jose Barracuda	2	L	X	X	BoxScore
Day:17
17	109	San Jose Barracuda	2	San Antonio Rampage	1	W			BoxScore
Day:20
20	138	Springfield Falcons	5	San Jose Barracuda	7	W			BoxScore
Day:22
22	155	San Jose Barracuda	3	Portland Crying Chiwawas	9	L			BoxScore
Day:23
23	170	San Jose Barracuda	2	San Antonio Rampage	4	L			BoxScore
Day:25
25	177	San Jose Barracuda	2	Henderson Silver Knights	8	L			BoxScore
Day:27
27	199	Blainville-Boisbriand Armada	3	San Jose Barracuda	1	L			BoxScore
Day:28
28	213	Houston Aeros	0	San Jose Barracuda	1	W			BoxScore
Day:30
30	235	San Antonio Rampage	2	San Jose Barracuda	3	W			BoxScore
Day:34
34	260	San Jose Barracuda	2	Danbury Trashers	3	L	X		BoxScore
Day:37
37	270	Portland Crying Chiwawas	3	San Jose Barracuda	5	W			BoxScore
Day:39
39	287	San Jose Barracuda	4	Grand Rapids Griffins	3	W			BoxScore
Day:41
41	302	Wilkes-Barre/Scranton Penguins	8	San Jose Barracuda	1	L			BoxScore
Day:44
44	330	Charlotte Checkers	5	San Jose Barracuda	6	W	X		BoxScore
Day:46
46	347	San Jose Barracuda	2	Danbury Trashers	3	L	X		BoxScore
Day:49
49	364	San Jose Barracuda	3	Manitoba Moose	4	L			BoxScore
Day:50
50	373	San Antonio Rampage	8	San Jose Barracuda	1	L			BoxScore
Day:52
52	395	San Jose Barracuda	3	Providence Bruins	2	W			BoxScore
Day:54
54	404	The Nuuk Vikings	3	San Jose Barracuda	2	L			BoxScore
Day:56
56	429	San Jose Barracuda	1	Hamilton Bulldogs	6	L			BoxScore
Day:57
57	440	Danbury Trashers	2	San Jose Barracuda	4	W			BoxScore
Day:59
59	458	San Jose Barracuda	4	Lake Erie Monsters	3	W			BoxScore
Day:61
61	471	Blainville-Boisbriand Armada	8	San Jose Barracuda	3	L			BoxScore
Day:63
63	490	San Jose Barracuda	3	Trois-Rivières Lions	4	L	X		BoxScore
Day:65
65	502	Rochester Americans	2	San Jose Barracuda	3	W	X		BoxScore
Day:69
69	530	Verdun Junior	3	San Jose Barracuda	5	W			BoxScore
Day:71
71	542	San Jose Barracuda	2	Charlotte Checkers	1	W	X		BoxScore
Day:73
73	561	San Jose Barracuda	5	Trois-Rivières Lions	6	L	X		BoxScore
Day:74
74	570	Chicoutimi Saguenéens	5	San Jose Barracuda	1	L			BoxScore
Day:77
77	595	San Jose Barracuda	4	Norfolk Admirals	2	W			BoxScore
Day:78
78	604	Houston Aeros	5	San Jose Barracuda	4	L	X	X	BoxScore
Day:82
82	629	Portland Crying Chiwawas	1	San Jose Barracuda	7	W			BoxScore
Day:84
84	644	San Jose Barracuda	5	Houston Aeros	3	W			BoxScore
Day:89
89	664	San Jose Barracuda	3	San Antonio Rampage	6	L			BoxScore
Day:90
90	670	Manitoba Moose	3	San Jose Barracuda	6	W			BoxScore
Day:94
94	694	San Jose Barracuda	1	Laval Chiefs	4	L			BoxScore
Day:95
95	705	Connecticut Whale	6	San Jose Barracuda	5	L	X		BoxScore
Day:98
98	730	Springfield Falcons	4	San Jose Barracuda	2	L			BoxScore
Day:100
100	748	San Jose Barracuda	1	Henderson Silver Knights	6	L			BoxScore
Day:101
101	758	San Jose Barracuda	1	Bridgeport Sound Tigers	5	L			BoxScore
Day:103
103	770	Milwaukee Admirals	4	San Jose Barracuda	3	L	X	X	BoxScore
Day:107
107	797	Henderson Silver Knights	5	San Jose Barracuda	7	W			BoxScore
Day:109
109	815	San Jose Barracuda	3	Blainville-Boisbriand Armada	5	L			BoxScore
Day:110
110	826	Binghamton Senators	4	San Jose Barracuda	3	L			BoxScore
Day:113
113	851	San Jose Barracuda	-	Joliette Sportif	-
Day:115
115	862	San Jose Barracuda	-	Henderson Silver Knights	-
Day:116
116	869	Albany Devils	-	San Jose Barracuda	-
Day:118
118	892	San Jose Barracuda	-	Wilkes-Barre/Scranton Penguins	-
Day:120
120	902	Providence Bruins	-	San Jose Barracuda	-
Day:123
123	914	San Jose Barracuda	-	Albany Devils	-
Day:125
125	932	Binghamton Senators	-	San Jose Barracuda	-
Day:127
127	944	San Jose Barracuda	-	Chicoutimi Saguenéens	-
Day:128
128	962	Manitoba Moose	-	San Jose Barracuda	-
Day:130
130	979	San Jose Barracuda	-	Springfield Falcons	-
Day:132
132	996	Grand Rapids Griffins	-	San Jose Barracuda	-
Day:136
136	1027	Roberval Dwarfs	-	San Jose Barracuda	-
Day:138
138	1038	San Jose Barracuda	-	Chicago Wolves	-
Day:142
Trade Deadline --- Trades can’t be done after this day is simulated!
142	1060	San Jose Barracuda	-	Gatineau Olympiques	-
Day:143
143	1066	Quebec Stars	-	San Jose Barracuda	-
Day:147
147	1093	Chisinau Pelicans	-	San Jose Barracuda	-
Day:149
149	1101	San Jose Barracuda	-	Connecticut Whale	-
Day:151
151	1119	San Jose Barracuda	-	Milwaukee Admirals	-
Day:152
152	1129	San Jose Barracuda	-	Gatineau Olympiques	-
Day:154
154	1142	Quebec Stars	-	San Jose Barracuda	-
Day:156
156	1157	San Jose Barracuda	-	Norfolk Admirals	-
Day:159
159	1172	Bridgeport Sound Tigers	-	San Jose Barracuda	-
Day:161
161	1195	San Jose Barracuda	-	Chisinau Pelicans	-
Day:162
162	1204	Grand Rapids Griffins	-	San Jose Barracuda	-
Day:164
164	1222	San Jose Barracuda	-	Portland Crying Chiwawas	-
Day:167
167	1236	San Jose Barracuda	-	Wilkes-Barre/Scranton Penguins	-
Day:168
168	1243	Norfolk Admirals	-	San Jose Barracuda	-
Day:173
173	1272	Norfolk Admirals	-	San Jose Barracuda	-
Day:176
176	1291	San Jose Barracuda	-	Portland Crying Chiwawas	-
Day:177
177	1294	San Jose Barracuda	-	Connecticut Whale	-
Day:178
178	1310	Henderson Silver Knights	-	San Jose Barracuda	-
Day:180
180	1326	Chisinau Pelicans	-	San Jose Barracuda	-
Day:183
183	1341	San Jose Barracuda	-	Rochester Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses

San Jose Barracuda Players Stat Leaders (Regular Season)

Show or Hide Column

#	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 Barracuda Goalies Stat Leaders (Regular Season)

Show or Hide Column

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

San Jose Barracuda Career Team Stats

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

San Jose Barracuda Players Stat Leaders (Play-Off)

Show or Hide Column

#	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 Barracuda Goalies Stat Leaders (Play-Off)

Show or Hide Column

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



	WC Home Main STHS Client League File ProToday's Games FarmToday's Games Today's Transactions Search League News Management Upload Lines Web Client Email General Manager Today's Information Teams Pro Team Eastern Conference Boston Bruins Buffalo Sabres Carolina Hurricanes Columbus Blue Jackets Florida Panthers Montreal Canadiens New Jersey Devils New York Islanders New York Rangers Ottawa Senators Philadelphia Flyers Pittsburgh Penguins Quebec Nordiques Tampa Bay Lightning Toronto Maple Leafs Washington Capitals Western Conference Anaheim Ducks Calgary Flames Chicago Blackhawks Colorado Avalanche Dallas Stars Detroit Red Wings Edmonton Oilers Los Angeles Kings Minnesota Wild Nashville Predators San Jose Sharks Seattle Kraken St. Louis Blues Utah Hockey Club Vancouver Canucks Vegas Golden Knights Winnipeg Jets Farm Team Hamel Binghamton Senators Blainville-Boisbriand Armada Chicago Wolves Chicoutimi Saguenéens Chisinau Pelicans Gatineau Olympiques Grand Rapids Griffins Hamilton Bulldogs Joliette Sportif Lake Erie Monsters Laval Chiefs Milwaukee Admirals Quebec Stars Roberval Dwarfs The Nuuk Vikings Trois-Rivières Lions Verdun Junior Fortunus Albany Devils Bridgeport Sound Tigers Charlotte Checkers Connecticut Whale Danbury Trashers Henderson Silver Knights Houston Aeros Manitoba Moose Norfolk Admirals Portland Crying Chiwawas Providence Bruins Rochester Americans San Antonio Rampage San Jose Barracuda Springfield Falcons Wilkes-Barre/Scranton Penguins Pro League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking Farm League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking League Entry Draft Projection Coaches Transactions Waivers Team/GM Trade History Prospects RSS Feed Unassigned Players Goalies Available For Trade Players Goalies Compares Players Players Goalies Free Agents Players Goalies Retire Players Players Goalies Records League Records Team Records Search Legacy Pages Coaches Free Agents Pro All Players Stats Pro Individual Leaders Pro Leaders Pro Power Ranking Pro Standing Pro Team Lines Pro Team PlayersInfo Pro Team Roster Pro Team Schedule Pro Team Scoring Pro Team Stats Pro Team Stats VS Rerate Difference Schedule Team Finance Team History Team Injury Suspension Team Prospects Teams And GM Info Today Games Today Transactions Trade History Transactions Unassigned Waivers Help Latest STHS Client STHS Client Manual Log in

	San Jose Barracuda
	GP: 49 \| W: 18 \| L: 23 \| OTL: 8 \| P: 44 GF: 151 \| GA: 204 \| PP%: 20.00% \| PK%: 75.29% GM : Olivier Coudé \| Morale : 50 \| Team Overall : N/A Next Games #851 vs Joliette Sportif