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

Game Center
	Barracudas 48-24-4, 100pts	3	Box score	6	Bayou 38-33-5, 81pts

Team Stats
W1	Streak	W1
28-9-1	Home Record	26-10-2
20-15-3	Home Record	12-23-3
6-3-1	Last 10 Games	5-5-0
3.87	Goals Per Game	3.54
3.37	Goals Against Per Game	3.47
16.25%	Power Play Percentage	15.83%
83.02%	Penalty Kill Percentage	82.11%

Barracudas
48-24-4, 100pts

Box score

Farmers
37-37-4, 78pts

Team Stats
W1	Streak	L2
28-9-1	Home Record	17-19-2
20-15-3	Home Record	20-18-2
6-3-1	Last 10 Games	4-4-2
3.87	Goals Per Game	3.32
3.37	Goals Against Per Game	3.51
16.25%	Power Play Percentage	18.55%
83.02%	Penalty Kill Percentage	84.32%

Igloos
44-25-8, 96pts

Day 98

Barracudas
48-24-4, 100pts

Team Stats
W8	Streak	W1
25-11-2	Home Record	28-9-1
19-14-6	Away Record	20-15-3
8-1-1	Last 10 Games	6-3-1
3.74	Goals Per Game	3.87
3.16	Goals Against Per Game	3.87
16.67%	Power Play Percentage	16.25%
84.56%	Penalty Kill Percentage	83.02%

Chiwawa
37-28-11, 85pts

Day 101

Barracudas
48-24-4, 100pts

Team Stats
W1	Streak	W1
20-12-6	Home Record	28-9-1
17-16-5	Away Record	20-15-3
8-1-1	Last 10 Games	6-3-1
2.86	Goals Per Game	3.87
3.13	Goals Against Per Game	3.87
15.96%	Power Play Percentage	16.25%
84.15%	Penalty Kill Percentage	83.02%

Barracudas
48-24-4, 100pts

Day 102

Spartans
40-33-4, 84pts

Team Stats
W1	Streak	L1
28-9-1	Home Record	20-15-3
20-15-3	Away Record	20-18-1
6-3-1	Last 10 Games	1-8-1
3.87	Goals Per Game	3.01
3.37	Goals Against Per Game	3.01
16.25%	Power Play Percentage	13.26%
83.02%	Penalty Kill Percentage	82.48%

Team Leaders

Team Stats
Goals For 294 3.87 GFG	Shots For 2918 38.39 Avg	Power Play Percentage 16.2% 58 GF	Offensive Zone Start 42.7%
Goals Against 256 3.37 GAA	Shots Against 2494 32.82 Avg	Penalty Kill Percentage 83.0%% 73 GA	Defensive Zone Start 39.6%

Team Info
	General Manager	Maxime Guillemette
	Coach	Claude Julien
	Division	Division Ouest
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	1,977
	Season Tickets	300
Roster Info
	Pro Team	7
	Farm Team	21
	Contract Limit	28 / 50
	Prospects	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	C	L	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	Chris Tierney	X			100.00	50	45	84	80	63	50	40	45	87	40	50	55	50	89	76	0	90	56	0	31	2	1,500,000$
2	Brian Halonen (R)		X		100.00	50	45	95	75	68	70	40	45	30	40	50	56	50	86	77	0	90	54	0	26	2	1,000,000$
3	Cameron Butler (R)	X			100.00	50	45	95	74	78	50	40	45	30	40	50	55	50	81	83	0	90	53	0	23	2	1,000,000$
4	Ondrej Pavel (R)	X			100.00	50	45	92	75	72	50	40	45	30	40	50	55	50	83	70	0	90	53	0	25	2	1,000,000$
5	P.K. Subban			X	100.00	50	45	95	74	60	50	40	45	30	40	50	55	50	94	81	0	90	56	0	36	2	775,000$
Scratches

	TEAM AVERAGE				100.00	50	45	92	76	68	54	40	45	41	40	50	55	50	87	77	0	90	54

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	Mike Smith	100.00	70	40	40	94	65	65	65	65	65	65	65	99	92	0	90	60	0	44	1	775,000$
2	Devin Cooley	100.00	70	40	40	87	65	65	65	65	65	65	65	86	74	0	90	58	0	28	2	950,000$
Scratches

	TEAM AVERAGE	100.00	70	40	40	91	65	65	65	65	65	65	65	93	83	0	90	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Claude Julien	65	65	65	65	97	72	46	CAN	66	3	2,000,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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 Halonen	Barracudas (SJR)	LW	26	1999-01-11	USA	Yes	207 Lbs	6 ft0	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	1,000,000$	111,111$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Cameron Butler	Barracudas (SJR)	C	23	2002-06-09	CAN	Yes	210 Lbs	6 ft4	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	1,000,000$	111,111$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Chris Tierney	Barracudas (SJR)	C	31	1994-07-01	CAN	No	191 Lbs	6 ft1	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	1,500,000$	166,667$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Devin Cooley	Barracudas (SJR)	G	28	1997-05-25	USA	No	192 Lbs	6 ft5	No	No	Trade	2025-09-14	No	No	2	2026-03-08	False	False	Pro & Farm	950,000$	105,556$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Mike Smith	Barracudas (SJR)	G	44	1981-03-22	CAN	No	220 Lbs	6 ft5	No	No	N/A		No	No	1	2026-03-08	False	False	Pro & Farm	775,000$	86,111$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ondrej Pavel	Barracudas (SJR)	C	25	2000-08-29	CZE	Yes	205 Lbs	6 ft2	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	1,000,000$	111,111$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
P.K. Subban	Barracudas (SJR)	D	36	1989-05-13	CAN	No	210 Lbs	6 ft0	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	775,000$	86,111$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
7	30.43	205 Lbs	6 ft2	1.86	1,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			25	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2				45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2			45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	RI
1	Bandits	3	0	2	0	0	1	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	4	-1	2	0	1	0	0	1	0	0	4	6	-2	1	0.167	7	14	21	0	0	112	103	67	13	109	960	995	924	54	94	24	28	78	18	1	5.56%	14	3	78.57%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
2	Bayou	2	0	1	0	1	0	0	0	6	8	-2	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	6	11	17	0	0	112	103	67	13	65	960	995	924	54	96	31	30	47	10	1	10.00%	15	2	86.67%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
3	Chiwawa	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	8	13	0	0	112	103	67	13	47	960	995	924	54	34	8	14	27	2	0	0.00%	7	2	71.43%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
4	CoolFm	4	2	2	0	0	0	0	0	18	17	1	2	1	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	9	8	1	4	0.500	18	34	52	0	0	112	103	67	13	154	960	995	924	54	137	32	63	107	15	2	13.33%	21	5	76.19%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
5	Farmers	3	1	1	0	1	0	0	0	14	16	-2	1	0	0	0	1	0	0	0	5	4	1	2	1	1	0	0	0	0	0	9	12	-3	4	0.667	14	27	41	0	0	112	103	67	13	93	960	995	924	54	121	23	53	53	13	3	23.08%	22	6	72.73%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
6	Goons	3	3	0	0	0	0	0	0	13	2	11	1	1	0	0	0	0	0	0	5	0	5	2	2	0	0	0	0	0	0	8	2	6	6	1.000	13	23	36	0	1	112	103	67	13	117	960	995	924	54	70	18	37	72	9	1	11.11%	11	1	90.91%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
7	Grizzlies	4	1	2	0	0	0	1	0	14	17	-3	3	1	1	0	0	0	1	0	12	12	0	1	0	1	0	0	0	0	0	2	5	-3	4	0.500	14	25	39	1	0	112	103	67	13	177	960	995	924	54	141	42	48	122	25	4	16.00%	24	5	79.17%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
8	Hunters	3	2	1	0	0	0	0	0	11	10	1	2	2	0	0	0	0	0	0	9	5	4	1	0	1	0	0	0	0	0	2	5	-3	4	0.667	11	19	30	0	0	112	103	67	13	106	960	995	924	54	104	23	34	97	18	4	22.22%	16	1	93.75%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
9	Husky	3	1	1	0	1	0	0	0	14	13	1	1	0	0	0	1	0	0	0	5	4	1	2	1	1	0	0	0	0	0	9	9	0	4	0.667	14	28	42	0	0	112	103	67	13	116	960	995	924	54	98	33	44	61	14	3	21.43%	24	7	70.83%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
10	Igloos	2	0	2	0	0	0	0	0	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	5	10	15	0	0	112	103	67	13	68	960	995	924	54	82	26	36	54	9	2	22.22%	17	3	82.35%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
11	Marlies	3	0	2	0	1	0	0	0	11	17	-6	2	0	1	0	1	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	7	-3	2	0.333	11	22	33	0	0	112	103	67	13	99	960	995	924	54	102	34	36	78	17	2	11.76%	15	4	73.33%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
12	Marmots	3	3	0	0	0	0	0	0	12	7	5	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	6	1.000	12	23	35	0	0	112	103	67	13	127	960	995	924	54	75	17	30	61	11	3	27.27%	15	3	80.00%	1	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
13	Outlaws	3	2	1	0	0	0	0	0	10	6	4	2	2	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	3	4	-1	4	0.667	10	20	30	0	1	112	103	67	13	101	960	995	924	54	90	38	44	69	15	1	6.67%	20	2	90.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
14	Predateurs	3	1	2	0	0	0	0	0	8	10	-2	1	0	1	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	5	4	1	2	0.333	8	16	24	0	0	112	103	67	13	88	960	995	924	54	97	30	45	64	17	2	11.76%	19	4	78.95%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
15	Raptors	2	1	0	0	1	0	0	0	12	7	5	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	1	0	0	0	5	4	1	4	1.000	12	22	34	0	0	112	103	67	13	87	960	995	924	54	66	18	22	65	8	4	50.00%	10	2	80.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
16	Rockets	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	112	103	67	13	31	960	995	924	54	39	12	16	33	8	0	0.00%	8	2	75.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
17	Sags	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	5	3	2	4	1.000	11	22	33	0	0	112	103	67	13	87	960	995	924	54	55	14	14	44	2	1	50.00%	7	1	85.71%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
18	Scorpions	2	1	0	0	1	0	0	0	10	8	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	1	0	0	0	7	6	1	4	1.000	10	20	30	0	0	112	103	67	13	71	960	995	924	54	79	20	26	58	5	1	20.00%	12	2	83.33%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
19	Smirnoff Ice	4	1	0	0	2	0	0	1	14	8	6	2	0	0	0	1	0	0	1	6	6	0	2	1	0	0	1	0	0	0	8	2	6	7	0.875	14	27	41	0	0	112	103	67	13	160	960	995	924	54	103	38	44	86	9	3	33.33%	21	2	90.48%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
20	Snowbirds	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	6	1	5	4	1.000	11	22	33	0	0	112	103	67	13	104	960	995	924	54	60	18	10	54	24	4	16.67%	5	1	80.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
21	Spartans	2	1	0	0	0	0	1	0	10	7	3	2	1	0	0	0	0	1	0	10	7	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	17	27	0	0	112	103	67	13	84	960	995	924	54	62	12	18	65	17	5	29.41%	8	0	100.00%	1	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
22	Supreme	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	7	4	3	4	1.000	11	22	33	0	0	112	103	67	13	81	960	995	924	54	78	21	27	57	17	2	11.76%	11	3	72.73%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
23	Thugs	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	11	17	0	0	112	103	67	13	81	960	995	924	54	62	17	30	58	15	2	13.33%	15	1	93.33%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
24	TigersCats	3	0	2	0	1	0	0	0	11	13	-2	1	0	1	0	0	0	0	0	3	4	-1	2	0	1	0	1	0	0	0	8	9	-1	2	0.333	11	21	32	1	0	112	103	67	13	124	960	995	924	54	119	39	37	71	12	1	8.33%	15	0	100.00%	1	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
25	Twins	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	9	14	0	0	112	103	67	13	83	960	995	924	54	38	12	29	42	7	1	14.29%	10	3	70.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
26	Vandals	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	2	1	1	4	1.000	9	17	26	0	0	112	103	67	13	93	960	995	924	54	39	18	24	39	6	1	16.67%	10	0	100.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
27	Vipers	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	5	8	0	0	112	103	67	13	38	960	995	924	54	50	18	18	21	3	0	0.00%	9	0	100.00%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
28	Warriors	4	3	1	0	0	0	0	0	17	11	6	2	2	0	0	0	0	0	0	11	4	7	2	1	1	0	0	0	0	0	6	7	-1	6	0.750	17	34	51	0	0	112	103	67	13	170	960	995	924	54	88	31	42	84	12	2	16.67%	19	4	78.95%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
29	Wolves	2	0	2	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	112	103	67	13	50	960	995	924	54	75	18	22	43	10	1	10.00%	11	2	81.82%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
30	Xpress	3	1	1	0	0	1	0	0	11	13	-2	2	1	1	0	0	0	0	0	6	7	-1	1	0	0	0	0	1	0	0	5	6	-1	3	0.500	11	21	32	0	0	112	103	67	13	107	960	995	924	54	140	34	40	88	9	1	11.11%	19	2	89.47%	1	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
	Total	76	36	24	0	9	3	3	1	294	256	38	38	21	9	0	5	0	2	1	153	119	34	38	15	15	0	4	3	1	0	141	137	4	100	0.658	294	559	853	2	2	112	103	67	13	2918	960	995	924	54	2494	719	961	1898	357	58	16.25%	430	73	83.02%	4	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
	_Since Last GM Reset	76	36	24	0	9	3	3	1	294	256	38	38	21	9	0	5	0	2	1	153	119	34	38	15	15	0	4	3	1	0	141	137	4	100	0.658	294	559	853	2	2	112	103	67	13	2918	960	995	924	54	2494	719	961	1898	357	58	16.25%	430	73	83.02%	4	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
	_Vs Conference	30	17	7	0	3	1	2	0	118	91	27	15	10	3	0	1	0	1	0	60	42	18	15	7	4	0	2	1	1	0	58	49	9	45	0.750	118	224	342	0	1	112	103	67	13	1160	960	995	924	54	981	293	373	753	158	26	16.46%	169	25	85.21%	1	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416
	_Vs Division	15	6	7	0	1	1	0	0	42	44	-2	7	3	3	0	1	0	0	0	21	18	3	8	3	4	0	0	1	0	0	21	26	-5	15	0.500	42	80	122	0	1	112	103	67	13	518	960	995	924	54	485	165	212	325	68	7	10.29%	94	13	86.17%	0	1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%	1863	1354	1895	526	852	416

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
76	100	W1	294	559	853	2918	2494	719	961	1898	2	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	36	24	9	3	3	1	294	256

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	21	9	5	0	2	1	153	119

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	15	15	4	3	1	0	141	137

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	3	1	1	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
357	58	16.25%	430	73	83.02%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
960	995	924	54	112	103	67	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1482	2872	51.60%	1343	2662	50.45%	609	1192	51.09%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1863	1354	1895	526	852	416

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	1	Grizzlies	2	Barracudas	3	W			Box score
2	24	Barracudas	3	Goons	1	W			Box score
4	40	Barracudas	2	Predateurs	3	L			Box score
5	50	Barracudas	3	TigersCats	5	L			Box score
6	66	Marmots	3	Barracudas	4	W			Box score
7	79	Barracudas	2	Smirnoff Ice	1	W	X		Box score
8	93	Warriors	3	Barracudas	6	W			Box score
10	110	Barracudas	2	Igloos	4	L			Box score
11	122	Outlaws	2	Barracudas	3	W			Box score
12	141	Hunters	2	Barracudas	4	W			Box score
14	162	Barracudas	1	Bandits	2	L			Box score
15	172	Smirnoff Ice	3	Barracudas	2	L	X	X	Box score
16	188	Barracudas	2	Husky	5	L			Box score
17	198	Barracudas	5	Warriors	3	W			Box score
18	213	Xpress	4	Barracudas	2	L			Box score
19	233	Barracudas	6	Smirnoff Ice	1	W			Box score
20	242	Goons	0	Barracudas	5	W			Box score
22	262	Barracudas	6	Snowbirds	1	W			Box score
23	273	TigersCats	4	Barracudas	3	L			Box score
25	302	Twins	3	Barracudas	1	L			Box score
26	309	Barracudas	1	Wolves	4	L			Box score
27	325	Rockets	3	Barracudas	4	W			Box score
28	346	Barracudas	5	CoolFm	3	W			Box score
29	358	Scorpions	2	Barracudas	3	W			Box score
31	378	Barracudas	3	Bandits	4	L	X		Box score
32	386	Smirnoff Ice	3	Barracudas	4	W	X		Box score
34	410	Barracudas	4	CoolFm	5	L			Box score
35	423	Xpress	3	Barracudas	4	W			Box score
36	442	Farmers	4	Barracudas	5	W	X		Box score
37	458	Barracudas	7	Husky	4	W			Box score
38	467	Barracudas	3	Vipers	4	L	X		Box score
40	486	Sags	2	Barracudas	6	W			Box score
41	492	Barracudas	2	Hunters	5	L			Box score
42	511	Grizzlies	6	Barracudas	7	W	X	X	Box score
43	531	Barracudas	7	Supreme	4	W			Box score
44	546	Thugs	3	Barracudas	4	W			Box score
46	565	Barracudas	5	TigersCats	4	W	X		Box score
47	580	Grizzlies	4	Barracudas	2	L			Box score
48	596	Barracudas	5	Sags	3	W			Box score
49	610	Barracudas	3	Igloos	4	L			Box score
50	623	Wolves	4	Barracudas	0	L			Box score
51	640	Hunters	3	Barracudas	5	W			Box score
53	666	Barracudas	3	Outlaws	4	L			Box score
54	672	Marmots	2	Barracudas	4	W			Box score
55	692	Warriors	1	Barracudas	5	W			Box score
56	710	Barracudas	5	Chiwawa	4	W	X	X	Box score
57	724	Vandals	1	Barracudas	7	W			Box score
59	744	Barracudas	2	Vandals	1	W			Box score
60	757	Barracudas	5	Goons	1	W			Box score
61	771	Raptors	3	Barracudas	7	W			Box score
62	789	Bandits	4	Barracudas	3	L			Box score
65	816	CoolFm	4	Barracudas	7	W			Box score
66	832	Barracudas	1	Warriors	4	L			Box score
67	846	Bayou	2	Barracudas	3	W	X		Box score
69	865	Barracudas	4	Marmots	2	W			Box score
70	879	Supreme	3	Barracudas	4	W			Box score
72	902	Barracudas	2	Farmers	7	L			Box score
73	908	Outlaws	0	Barracudas	4	W			Box score
74	929	Husky	4	Barracudas	5	W	X		Box score
76	946	Barracudas	7	Scorpions	6	W	X		Box score
77	960	Barracudas	4	Marlies	7	L			Box score
78	968	CoolFm	5	Barracudas	2	L			Box score
79	989	Barracudas	4	Twins	3	W			Box score
80	1002	Marlies	5	Barracudas	6	W	X		Box score
81	1008	Barracudas	2	Grizzlies	5	L			Box score
82	1026	Barracudas	2	Thugs	1	W			Box score
83	1035	Predateurs	6	Barracudas	3	L			Box score
85	1058	Barracudas	5	Xpress	6	L	X		Box score
86	1066	Marlies	5	Barracudas	1	L			Box score
88	1090	Barracudas	5	Raptors	4	W	X		Box score
89	1093	Barracudas	3	Predateurs	1	W			Box score
90	1107	Spartans	4	Barracudas	6	W			Box score
91	1127	Snowbirds	4	Barracudas	5	W			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
94	1153	Spartans	3	Barracudas	4	W	X	X	Box score
95	1161	Barracudas	3	Bayou	6	L			Box score
96	1178	Barracudas	7	Farmers	5	W			Box score
98	1191	Igloos	-	Barracudas	-
101	1214	Chiwawa	-	Barracudas	-
102	1224	Barracudas	-	Spartans	-
103	1237	Barracudas	-	Rockets	-
107	1254	Vipers	-	Barracudas	-
108	1266	Barracudas	-	Rockets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	80	20
Attendance	37,569	37,544
Attendance PCT	49.43%	98.80%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
3	1977 - 65.89%	118,623$	4,507,680$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,498,156$	700,000$	700,000$	2,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	720,332$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
355,869$	12	25,000$	300,000$

Barracudas 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

Barracudas 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

Barracudas 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

Barracudas 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

Barracudas 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

	Barracudas
	GP: 76 \| W: 48 \| L: 24 \| OTL: 4 \| P: 100 GF: 294 \| GA: 256 \| PP%: 16.25% \| PK%: 83.02% GM : Maxime Guillemette \| Morale : 90 \| Team Overall : 56 Next Games #1191 vs Igloos