Sharks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Moose 38-39-3, 79pts	4	FINAL	3	Barracuda 38-37-5, 81pts

Team Stats
L1	Streak	W1
24-15-1	Home Record	18-19-3
14-24-2	Home Record	20-18-2
7-3-0	Last 10 Games	5-5-0
4.11	Goals Per Game	3.91
4.50	Goals Against Per Game	4.34
22.60%	Power Play Percentage	18.21%
76.52%	Penalty Kill Percentage	74.83%

Admirals
39-33-8, 86pts

FINAL

Barracuda
38-37-5, 81pts

Team Stats
L1	Streak	W1
21-16-3	Home Record	18-19-3
18-17-5	Home Record	20-18-2
5-3-2	Last 10 Games	5-5-0
4.43	Goals Per Game	3.91
4.28	Goals Against Per Game	4.34
24.13%	Power Play Percentage	18.21%
83.50%	Penalty Kill Percentage	74.83%

Team Leaders
	Goals Kurtis Macdermid 54	Assists Emil Pettersson 76

	Points Emil Pettersson 118	Plus/Minus Theodor Blueger 22

	Wins Kevin Mandolese 7	Save Percentage Kevin Mandolese 0.846

Team Stats
Goals For 313 3.91 GFG	Shots For 2480 31.00 Avg	Power Play Percentage 18.2% 53 GF	Offensive Zone Start 35.7%
Goals Against 347 4.34 GAA	Shots Against 2694 33.68 Avg	Penalty Kill Percentage 74.8%% 74 GA	Defensive Zone Start 37.1%

Team Info
	General Manager	Roland Roberge
	Coach	Dale Hunter
	Division	Thayer-Tutt
	Conference	Robert-Lebel
	Captain	William Carrier
	Assistant #1	Emil Pettersson
	Assistant #2	Theodor Blueger
Arena Info
	Capacity	3,000
	Attendance	2,796
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 250
	Prospects	0

Show or Hide Columns

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Kurtis Macdermid		X			100.00	83	61	79	70	77	65	80	74	60	79	64	79	65	62	58	40	59	73	0	25	1	850,000$
2	William Carrier (C)		X			100.00	81	40	79	75	74	71	80	78	72	83	69	70	72	71	57	33	55	73	0	25	1	980,000$
3	Emil Pettersson (A)	X				100.00	67	28	84	72	74	67	77	73	75	76	75	62	69	70	55	31	62	71	0	25	1	800,000$
4	Theodor Blueger (A)	X				100.00	72	35	82	70	69	70	74	77	64	73	76	62	68	59	53	34	45	70	0	25	1	800,000$
5	Trent Frederic (R)	X				100.00	67	27	89	71	71	86	70	62	72	72	63	78	67	49	45	56	56	70	0	21	1	800,000$
6	Alex Henriksson		X			100.00	70	32	78	71	63	65	73	70	66	75	70	64	73	52	50	34	41	68	0	24	1	750,000$
7	Kyle Platzer	X				100.00	51	39	72	71	47	70	58	75	67	68	67	68	80	47	49	32	59	64	0	24	1	500,000$
8	Thomas Gobeil			X		100.00	68	40	69	62	62	62	73	71	70	64	63	55	68	52	50	29	60	63	0	25	1	700,000$
9	Jaedon Descheneau			X		100.00	47	43	69	63	57	68	67	60	71	69	71	44	52	48	50	26	50	61	0	24	1	550,000$
10	Nikolai Kovalenko (R)			X		100.00	62	39	68	66	70	69	59	64	68	62	56	50	67	42	45	59	59	60	0	20	1	500,000$
11	Beck Malenstyn (R)		X			100.00	57	33	63	59	65	59	60	58	70	55	78	34	53	43	43	45	21	58	0	21	4	550,000$
12	Alexei Toropchenko (R)			X		100.00	62	29	63	55	63	54	58	58	54	59	72	51	67	43	43	55	59	58	0	20	1	550,000$
13	Brett Kulak				X	100.00	76	33	78	74	77	80	75	72	62	72	70	78	71	71	52	35	35	73	0	25	1	800,000$
14	Robin Norell				X	100.00	72	33	85	70	65	75	68	67	43	75	55	85	62	61	51	34	47	71	0	24	1	750,000$
15	Jordan Gross				X	100.00	71	28	71	67	64	67	69	64	48	71	68	68	53	49	54	31	47	66	0	24	1	700,000$
16	Luke Martin (R)				X	100.00	56	29	73	72	62	55	66	80	26	69	58	72	44	45	47	55	59	65	0	21	2	500,000$
17	Alex Lintuniemi (R)				X	100.00	58	35	73	70	58	61	58	74	34	71	57	67	47	45	47	42	38	63	0	23	1	750,000$
18	Dennis Cholowski (R)				X	100.00	63	37	83	54	59	70	72	60	35	70	65	60	58	44	44	58	39	62	0	21	1	575,000$
Scratches
1	Jacob Peterson (R)	X				100.00	62	35	70	56	72	66	70	68	63	66	76	46	64	43	43	55	20	63	0	20	1	500,000$
2	Adam Edstrom (R)	X				100.00	64	32	60	60	74	56	75	66	47	64	59	52	41	43	41	67	19	58	0	19	2	500,000$
3	Angus Crookshank (R)		X			100.00	52	26	67	70	62	61	63	58	54	45	71	45	66	42	44	67	19	57	0	20	2	500,000$
4	Adam Beckman (R)		X			100.00	48	35	75	65	58	61	58	61	44	53	66	39	54	40	40	73	19	56	0	18	2	500,000$
5	Bode Wilde (R)				X	100.00	72	41	63	59	64	66	46	54	33	59	51	58	43	41	41	66	19	59	0	19	1	500,000$
6	Ryan Merkley (R)				X	100.00	61	22	70	51	47	54	53	61	37	59	62	48	48	41	41	64	19	55	0	19	1	500,000$

	TEAM AVERAGE					100.00	64	35	73	66	65	66	67	67	56	67	66	60	61	50	48	47	42	64

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	Kevin Mandolese	100.00	69	49	61	73	74	44	49	59	63	42	66	41	41	58	55	58	0	19	1	500,000$
2	Filip Larsson (R)	100.00	65	64	59	60	57	59	59	60	51	61	57	45	46	61	27	57	0	21	2	500,000$
Scratches

	TEAM AVERAGE	100.00	67	57	60	67	66	52	54	60	57	52	62	43	44	60	41	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dale Hunter	77	81	66	64	43	68	54	Can	68	4	750,000$

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	FT	S1	S2	S3
1	Emil Pettersson	Barracuda (S.J)	C	79	42	76	118	-16	35	5	127	200	334	99	208	12.57%	41	1755	22.22	11	26	37	56	253	2	3	5	10	209	4	1	52.67%	2641	72	40	1	0	1.34	3	3	1	0	4	9	3
2	Kurtis Macdermid	Barracuda (S.J)	LW	80	54	46	100	-4	36	0	143	113	290	99	209	18.62%	57	1695	21.20	17	13	30	56	239	2	0	2	8	233	6	2	43.36%	143	65	29	1	1	1.18	2	4	0	0	12	2	5
3	William Carrier	Barracuda (S.J)	LW	75	44	55	99	3	37	5	145	109	269	74	161	16.36%	26	1409	18.79	6	10	16	28	204	1	0	1	7	119	3	2	52.50%	160	47	35	0	1	1.41	0	3	0	1	3	5	10
4	Theodor Blueger	Barracuda (S.J)	C	70	39	52	91	22	6	0	127	126	199	54	130	19.60%	34	1232	17.60	5	5	10	17	179	1	2	3	2	118	9	1	46.30%	771	36	26	0	1	1.48	0	0	0	0	8	5	4
5	Brett Kulak	Barracuda (S.J)	D	68	5	40	45	-2	52	0	122	131	138	57	66	3.62%	100	1863	27.41	1	7	8	18	238	0	1	1	3	195	0	0	0%	0	61	57	0	0	0.48	0	0	0	0	1	1	1
6	Thomas Gobeil	Barracuda (S.J)	RW	80	16	26	42	-24	131	5	130	87	90	36	65	17.78%	30	1540	19.26	5	7	12	21	252	0	0	0	0	0	1	0	48.76%	121	12	28	0	0	0.55	0	0	0	1	0	1	0
7	Kyle Platzer	Barracuda (S.J)	C	80	18	21	39	3	8	0	52	66	156	49	89	11.54%	19	804	10.06	0	1	1	1	6	0	0	0	0	45	3	1	45.36%	280	19	13	1	0	0.97	0	0	0	0	1	1	0
8	Robin Norell	Barracuda (S.J)	D	66	6	28	34	5	22	0	86	126	106	41	39	5.66%	96	1762	26.70	3	6	9	15	219	0	0	0	0	199	0	0	0%	0	20	44	1	0	0.39	0	0	0	0	0	1	2
9	Alex Henriksson	Barracuda (S.J)	LW	73	17	16	33	-9	23	5	72	63	145	48	83	11.72%	10	755	10.36	0	0	0	1	12	1	0	1	5	76	1	0	50.00%	22	30	7	0	1	0.87	0	0	0	0	2	1	2
10	Trent Frederic	Barracuda (S.J)	C	79	14	16	30	6	4	0	83	129	71	19	52	19.72%	26	1085	13.75	0	0	0	0	21	1	0	1	2	231	2	0	47.98%	817	10	22	1	1	0.55	0	0	0	0	2	3	1
11	Jordan Gross	Barracuda (S.J)	D	69	0	26	26	-17	32	0	93	90	72	29	32	0%	74	1376	19.95	0	1	1	5	148	0	0	0	0	138	0	0	0%	0	18	33	0	0	0.38	0	0	0	0	0	0	0
12	Luke Martin	Barracuda (S.J)	D	80	5	21	26	-10	38	0	55	110	86	35	30	5.81%	82	1491	18.64	0	3	3	6	148	1	2	3	1	141	2	0	0%	0	17	51	0	0	0.35	0	0	0	0	0	0	0
13	Charlie McAvoy	Sharks	D	50	5	17	22	-30	22	0	89	93	91	38	25	5.49%	80	1294	25.90	5	6	11	12	153	0	0	0	1	146	1	1	0%	0	26	42	0	0	0.34	0	0	0	0	1	0	0
14	Jaedon Descheneau	Barracuda (S.J)	RW	79	6	10	16	16	56	0	73	63	47	17	49	12.77%	20	1208	15.30	3	3	6	5	189	0	0	0	0	0	0	0	44.26%	61	5	20	0	0	0.26	0	0	0	0	0	0	1
15	Alex Lintuniemi	Barracuda (S.J)	D	74	1	10	11	-10	34	0	38	55	36	23	14	2.78%	45	933	12.61	0	0	0	0	12	0	0	0	0	42	0	0	0%	0	6	26	0	0	0.24	0	0	0	0	0	0	0
16	Nikolai Kovalenko	Barracuda (S.J)	RW	80	3	8	11	-9	46	0	78	43	32	21	28	9.38%	12	890	11.13	0	0	0	0	5	0	0	0	0	0	0	0	46.88%	32	3	9	0	0	0.25	0	0	0	0	0	0	1
17	Alexei Toropchenko	Barracuda (S.J)	RW	80	4	4	8	-15	16	0	62	40	29	11	8	13.79%	15	641	8.02	0	0	0	1	14	0	0	0	0	0	0	2	44.44%	18	2	8	0	0	0.25	0	0	0	0	0	1	2
18	Dennis Cholowski	Barracuda (S.J)	D	65	1	3	4	-4	6	0	25	44	28	12	6	3.57%	24	771	11.87	0	0	0	0	3	0	0	0	0	17	0	1	0%	0	1	19	0	0	0.10	0	0	0	0	0	0	0
19	Beck Malenstyn	Barracuda (S.J)	LW	33	2	2	4	-6	4	0	22	9	16	9	12	12.50%	4	235	7.15	0	0	0	0	2	0	0	0	0	4	0	0	28.57%	7	4	0	0	0	0.34	0	0	0	0	0	0	0
20	Jacob Peterson	Barracuda (S.J)	C	31	1	2	3	-9	0	0	21	8	38	14	25	2.63%	4	246	7.96	0	0	0	0	4	0	0	0	2	19	0	0	43.66%	71	5	2	0	0	0.24	0	0	0	0	0	0	0
21	Ryan Merkley	Barracuda (S.J)	D	4	0	0	0	1	0	0	0	0	0	0	0	0%	0	14	3.63	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0
22	Bode Wilde	Barracuda (S.J)	D	7	0	0	0	4	2	0	1	0	2	1	1	0%	2	46	6.66	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0
23	Adam Edstrom	Barracuda (S.J)	C	10	0	0	0	0	0	0	1	0	1	0	0	0%	2	15	1.53	0	0	0	0	2	0	0	0	0	4	0	0	50.00%	4	1	0	0	0	0	0	0	0	0	0	0	0
24	Angus Crookshank	Barracuda (S.J)	LW	8	0	0	0	0	0	0	0	0	0	0	1	0%	0	10	1.32	0	0	0	0	0	0	0	0	0	3	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1420	283	479	762	-105	610	20	1645	1705	2276	786	1333	12.43%	803	23083	16.26	56	88	144	242	2313	9	8	17	41	1947	32	11	49.87%	5149	460	513	5	5	0.66	5	10	1	2	34	30	32

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Joni Ortio	Sharks	67	30	28	5	0.881	3.98	3772	0	250	2106	1013	1	3	0.833	6	65	4	1	2	2
2	Kevin Mandolese	Barracuda (S.J)	16	7	6	0	0.846	5.26	707	2	62	402	236	0	0	1.000	6	12	46	0	0	0
3	Filip Larsson	Barracuda (S.J)	11	1	3	0	0.830	5.33	349	0	31	182	102	0	1	0	0	3	30	0	0	0
Team Total or Average			94	38	37	5	0.872	4.26	4829	2	343	2690	1351	1	4		12	80	80	1	2	2

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 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
Adam Beckman	Barracuda (S.J)	LW	18	2001-01-01	CAN	Yes	183 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2024-07-10	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Adam Edstrom	Barracuda (S.J)	C	19	2000-01-01	SWE	Yes	234 Lbs	6 ft7	No	No	Assign Manually		No	No	2	2024-07-10	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Alex Henriksson	Barracuda (S.J)	LW	24	1995-01-01	SWE	No	185 Lbs	6 ft2	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alex Lintuniemi	Barracuda (S.J)	D	23	1996-01-01	FIN	Yes	214 Lbs	6 ft0	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alexei Toropchenko	Barracuda (S.J)	RW	20	1999-01-01	RUS	Yes	222 Lbs	6 ft6	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	550,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Angus Crookshank	Barracuda (S.J)	LW	20	1999-01-01	CAN	Yes	181 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2024-07-10	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Beck Malenstyn	Barracuda (S.J)	LW	21	1998-01-01	CAN	Yes	194 Lbs	6 ft2	No	No	Free Agent		No	No	4	2024-10-11	False	False	Pro & Farm	550,000$	0$	0$	No	550,000$	550,000$	550,000$	-	-	-	-	-	-	550,000$	550,000$	550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Bode Wilde	Barracuda (S.J)	D	19	2000-01-01	CAN	Yes	195 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brett Kulak	Barracuda (S.J)	D	25	1994-01-01	CAN	No	181 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-10-11	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dennis Cholowski	Barracuda (S.J)	D	21	1998-01-01	CAN	Yes	196 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	575,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Emil Pettersson	Barracuda (S.J)	C	25	1994-01-01	SWE	No	185 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Filip Larsson	Barracuda (S.J)	G	21	1998-01-01	SWE	Yes	185 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2024-07-10	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jacob Peterson	Barracuda (S.J)	C	20	1999-01-01	SWE	Yes	180 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jaedon Descheneau	Barracuda (S.J)	RW	24	1995-01-01	CAN	No	192 Lbs	5 ft9	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	550,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jordan Gross	Barracuda (S.J)	D	24	1995-01-01	USA	No	190 Lbs	5 ft10	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kevin Mandolese	Barracuda (S.J)	G	19	2000-01-01	CAN	No	180 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kurtis Macdermid	Barracuda (S.J)	LW	25	1994-01-01	CAN	No	233 Lbs	6 ft5	No	No	N/A		No	No	1		False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kyle Platzer	Barracuda (S.J)	C	24	1995-01-01	CAN	No	185 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Luke Martin	Barracuda (S.J)	D	21	1998-01-01	USA	Yes	218 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2024-07-10	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nikolai Kovalenko	Barracuda (S.J)	RW	20	1999-01-01	RUS	Yes	185 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Robin Norell	Barracuda (S.J)	D	24	1995-01-01	SWE	No	185 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Merkley	Barracuda (S.J)	D	19	2000-01-01	CAN	Yes	186 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Theodor Blueger	Barracuda (S.J)	C	25	1994-01-01	LVA	No	171 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Thomas Gobeil	Barracuda (S.J)	RW	25	1994-01-01	CAN	No	185 Lbs	5 ft11	No	No	Free Agent		No	No	1	2024-08-21	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Trent Frederic	Barracuda (S.J)	C	21	1998-01-01	USA	Yes	203 Lbs	6 ft2	No	No	Trade	2025-04-15	No	No	1		False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
William Carrier	Barracuda (S.J)	LW	25	1994-01-01	CAN	No	185 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	980,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	22.00	194 Lbs	6 ft1	1.31	630,962$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	William Carrier	Emil Pettersson	Thomas Gobeil	40	1	3	1
2	Kurtis Macdermid	Theodor Blueger	Jaedon Descheneau	30	1	3	1
3	Alex Henriksson	Trent Frederic	Nikolai Kovalenko	20	1	3	1
4	Beck Malenstyn	Kyle Platzer	Alexei Toropchenko	10	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Kulak	Robin Norell	40	1	3	1
2	Jordan Gross	Luke Martin	30	1	3	1
3	Alex Lintuniemi	Dennis Cholowski	20	1	3	1
4	Brett Kulak	Robin Norell	10	1	3	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	William Carrier	Emil Pettersson	Thomas Gobeil	60	1	2	2
2	Kurtis Macdermid	Theodor Blueger	Jaedon Descheneau	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Kulak	Robin Norell	60	1	2	2
2	Jordan Gross	Luke Martin	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	William Carrier	Kurtis Macdermid	60	1	4	0
2	Emil Pettersson	Theodor Blueger	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Kulak	Robin Norell	60	1	4	0
2	Jordan Gross	Luke Martin	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	William Carrier	60	1	4	0	Brett Kulak	Robin Norell	60	1	4	0
2	Kurtis Macdermid	40	1	4	0	Jordan Gross	Luke Martin	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	William Carrier	Kurtis Macdermid	60	1	3	1
2	Emil Pettersson	Theodor Blueger	40	1	3	1

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brett Kulak	Robin Norell	60	1	3	1
2	Jordan Gross	Luke Martin	40	1	3	1

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
William Carrier	Emil Pettersson	Thomas Gobeil	Brett Kulak	Robin Norell

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
William Carrier	Emil Pettersson	Thomas Gobeil	Brett Kulak	Robin Norell

Extra Forwards
Normal	PowerPlay	Penalty Kill
Trent Frederic, Alex Henriksson, Kyle Platzer	Trent Frederic, Alex Henriksson	Kyle Platzer

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Alex Lintuniemi, Dennis Cholowski, Jordan Gross	Alex Lintuniemi	Dennis Cholowski, Jordan Gross

Penalty Shots
William Carrier, Kurtis Macdermid, Emil Pettersson, Theodor Blueger, Trent Frederic

Goalie
#1 : Kevin Mandolese, #2 : Filip Larsson

Custom OT Lines Forwards
William Carrier, Kurtis Macdermid, Emil Pettersson, Theodor Blueger, Trent Frederic, Alex Henriksson, Kyle Platzer, Thomas Gobeil, Jaedon Descheneau, Nikolai Kovalenko

Custom OT Lines Defensemen
Brett Kulak, Robin Norell, Jordan Gross, Luke Martin, Alex Lintuniemi

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	Admirals	4	1	3	0	0	0	0	0	15	22	-7	2	1	1	0	0	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	8	14	-6	2	0.250	15	24	39	0	0	81	109	112	12	121	778	889	791	32	137	35	26	77	16	2	12.50%	13	5	61.54%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
2	Americans	4	1	2	0	0	1	0	0	10	13	-3	2	1	1	0	0	0	0	0	5	6	-1	2	0	1	0	0	1	0	0	5	7	-2	3	0.375	10	15	25	0	0	81	109	112	12	108	778	889	791	32	147	28	24	82	16	1	6.25%	12	2	83.33%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
3	Bears	3	1	2	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	8	13	21	0	0	81	109	112	12	86	778	889	791	32	101	33	28	49	5	0	0.00%	14	2	85.71%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
4	Canucks	2	0	1	0	0	0	1	0	9	10	-1	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	13	22	0	0	81	109	112	12	71	778	889	791	32	77	19	14	42	8	2	25.00%	7	2	71.43%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
5	Checkers	2	0	2	0	0	0	0	0	5	14	-9	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	5	8	13	0	0	81	109	112	12	73	778	889	791	32	74	13	14	41	8	1	12.50%	7	3	57.14%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
6	Comets	2	0	1	0	1	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	1	0	0	0	3	2	1	2	0.500	7	9	16	1	0	81	109	112	12	60	778	889	791	32	76	19	6	32	4	2	50.00%	3	2	33.33%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
7	Condors	6	2	1	0	2	1	0	0	23	21	2	3	1	0	0	1	1	0	0	14	12	2	3	1	1	0	1	0	0	0	9	9	0	9	0.750	23	37	60	0	0	81	109	112	12	168	778	889	791	32	216	55	66	129	20	0	0.00%	33	4	87.88%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
8	Crunch	2	1	0	0	0	0	1	0	14	10	4	1	1	0	0	0	0	0	0	7	4	3	1	0	0	0	0	0	1	0	7	6	1	4	1.000	14	21	35	0	0	81	109	112	12	69	778	889	791	32	71	23	6	44	5	2	40.00%	3	0	100.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
9	Eagles	3	1	2	0	0	0	0	0	10	14	-4	1	0	1	0	0	0	0	0	3	7	-4	2	1	1	0	0	0	0	0	7	7	0	2	0.333	10	18	28	0	0	81	109	112	12	109	778	889	791	32	110	34	16	65	6	3	50.00%	8	1	87.50%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
10	Firebirds	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	13	21	0	0	81	109	112	12	51	778	889	791	32	71	21	10	43	5	0	0.00%	5	1	80.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
11	Griffins	6	2	3	0	0	0	1	0	22	23	-1	3	1	1	0	0	0	1	0	12	11	1	3	1	2	0	0	0	0	0	10	12	-2	6	0.500	22	32	54	0	0	81	109	112	12	152	778	889	791	32	204	66	66	107	26	5	19.23%	33	10	69.70%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
12	Gulls	7	3	3	0	1	0	0	0	31	29	2	3	0	2	0	1	0	0	0	10	13	-3	4	3	1	0	0	0	0	0	21	16	5	8	0.571	31	54	85	2	0	81	109	112	12	217	778	889	791	32	229	72	54	183	32	6	18.75%	27	1	96.30%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
13	Icehogs	3	2	1	0	0	0	0	0	18	14	4	1	0	1	0	0	0	0	0	4	6	-2	2	2	0	0	0	0	0	0	14	8	6	4	0.667	18	26	44	0	0	81	109	112	12	104	778	889	791	32	98	33	14	71	12	0	0.00%	7	3	57.14%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
14	Islander	2	1	1	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	3	9	-6	1	1	0	0	0	0	0	0	6	4	2	2	0.500	9	15	24	0	0	81	109	112	12	63	778	889	791	32	67	24	40	53	9	3	33.33%	6	2	66.67%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
15	Little Stars	2	1	0	0	0	1	0	0	7	6	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	7	12	19	0	0	81	109	112	12	64	778	889	791	32	70	24	10	37	8	2	25.00%	5	1	80.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
16	Marlies	4	1	2	0	1	0	0	0	14	18	-4	3	1	2	0	0	0	0	0	10	15	-5	1	0	0	0	1	0	0	0	4	3	1	4	0.500	14	22	36	1	0	81	109	112	12	134	778	889	791	32	100	44	35	89	13	3	23.08%	15	2	86.67%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
17	Moose	6	2	4	0	0	0	0	0	23	27	-4	3	1	2	0	0	0	0	0	10	11	-1	3	1	2	0	0	0	0	0	13	16	-3	4	0.333	23	37	60	0	0	81	109	112	12	181	778	889	791	32	200	73	58	130	30	7	23.33%	29	10	65.52%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
18	Penguins	2	1	0	0	0	0	1	0	14	12	2	1	0	0	0	0	0	1	0	9	8	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	14	20	34	0	0	81	109	112	12	80	778	889	791	32	69	20	14	42	10	5	50.00%	7	1	85.71%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
19	Phantoms	3	0	2	0	0	1	0	0	9	17	-8	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	0	1	0	0	7	13	-6	1	0.167	9	16	25	0	0	81	109	112	12	86	778	889	791	32	106	30	20	75	6	1	16.67%	10	4	60.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
20	Punishers	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	3	3	4	1.000	11	19	30	0	0	81	109	112	12	52	778	889	791	32	69	20	16	41	9	1	11.11%	8	1	87.50%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
21	Rockets	3	1	1	0	1	0	0	0	13	15	-2	2	1	1	0	0	0	0	0	8	11	-3	1	0	0	0	1	0	0	0	5	4	1	4	0.667	13	21	34	0	0	81	109	112	12	121	778	889	791	32	95	35	31	65	14	4	28.57%	13	6	53.85%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
22	Senators	3	1	1	0	0	1	0	0	10	11	-1	1	0	0	0	0	1	0	0	3	4	-1	2	1	1	0	0	0	0	0	7	7	0	3	0.500	10	15	25	0	0	81	109	112	12	104	778	889	791	32	100	31	22	51	8	0	0.00%	11	5	54.55%	1	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
23	Thunderbirds	2	1	0	0	1	0	0	0	8	6	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	8	14	22	0	0	81	109	112	12	63	778	889	791	32	68	15	8	35	5	0	0.00%	4	1	75.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
24	Wolfpack	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	10	15	0	0	81	109	112	12	62	778	889	791	32	50	18	8	48	4	1	25.00%	4	2	50.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
25	Wranglers	3	1	2	0	0	0	0	0	10	14	-4	2	1	1	0	0	0	0	0	10	11	-1	1	0	1	0	0	0	0	0	0	3	-3	2	0.333	10	17	27	0	0	81	109	112	12	81	778	889	791	32	89	29	20	59	12	2	16.67%	10	3	70.00%	0	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
	Total	80	27	37	0	7	5	4	0	313	347	-34	40	13	19	0	2	3	3	0	153	179	-26	40	14	18	0	5	2	1	0	160	168	-8	81	0.506	313	501	814	4	0	81	109	112	12	2480	778	889	791	32	2694	814	626	1690	291	53	18.21%	294	74	74.83%	8	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
	_Since Last GM Reset	80	27	37	0	7	5	4	0	313	347	-34	40	13	19	0	2	3	3	0	153	179	-26	40	14	18	0	5	2	1	0	160	168	-8	81	0.506	313	501	814	4	0	81	109	112	12	2480	778	889	791	32	2694	814	626	1690	291	53	18.21%	294	74	74.83%	8	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
	_Vs Conference	52	17	25	0	5	4	1	0	198	224	-26	26	8	13	0	2	2	1	0	95	112	-17	26	9	12	0	3	2	0	0	103	112	-9	50	0.481	198	316	514	3	0	81	109	112	12	1577	778	889	791	32	1721	531	436	1118	205	31	15.12%	213	55	74.18%	6	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711
	_Vs Division	25	9	11	0	3	1	1	0	99	100	-1	12	3	5	0	2	1	1	0	46	47	-1	13	6	6	0	1	0	0	0	53	53	0	27	0.540	99	160	259	2	0	81	109	112	12	718	778	889	791	32	849	266	244	549	108	18	16.67%	122	25	79.51%	3	848	1704	49.77%	888	1771	50.14%	692	1297	53.35%	1678	939	1718	747	1439	711

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
80	81	W1	313	501	814	2480	2694	814	626	1690	4	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	27	37	7	5	4	0	313	347

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	13	19	2	3	3	0	153	179

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	14	18	5	2	1	0	160	168

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
291	53	18.21%	294	74	74.83%	8

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
778	889	791	32	81	109	112	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
848	1704	49.77%	888	1771	50.14%	692	1297	53.35%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1678	939	1718	747	1439	711

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	RI	Link
1	4	Barracuda	6	Gulls	4	W				BoxScore
5	19	Gulls	4	Barracuda	5	W	X			BoxScore
7	31	Barracuda	2	Griffins	5	L			R1	BoxScore
8	39	Barracuda	7	Moose	5	W				BoxScore
10	49	Moose	2	Barracuda	4	W				BoxScore
13	63	Barracuda	2	Condors	4	L			R1	BoxScore
16	75	Condors	5	Barracuda	4	L	X			BoxScore
19	94	Marlies	1	Barracuda	5	W				BoxScore
21	106	Barracuda	4	Gulls	2	W				BoxScore
24	120	Griffins	6	Barracuda	7	W	X	X	R1	BoxScore
27	138	Barracuda	3	Condors	2	W	X			BoxScore
29	147	Admirals	5	Barracuda	3	L				BoxScore
31	161	Barracuda	3	Americans	4	L				BoxScore
33	172	Condors	4	Barracuda	6	W			R1	BoxScore
35	180	Barracuda	5	Admirals	9	L				BoxScore
38	195	Barracuda	2	Phantoms	7	L				BoxScore
40	205	Griffins	4	Barracuda	2	L			R1	BoxScore
44	223	Punishers	3	Barracuda	5	W				BoxScore
46	231	Barracuda	2	Moose	3	L				BoxScore
49	244	Barracuda	6	Punishers	3	W				BoxScore
50	256	Griffins	1	Barracuda	3	W			R1	BoxScore
54	275	Barracuda	4	Marlies	3	W	X			BoxScore
55	283	Eagles	7	Barracuda	3	L				BoxScore
59	297	Barracuda	3	Checkers	6	L				BoxScore
61	308	Canucks	4	Barracuda	5	W	X	X		BoxScore
64	326	Barracuda	5	Little Stars	3	W				BoxScore
65	331	Senators	4	Barracuda	3	L	X			BoxScore
68	349	Barracuda	2	Firebirds	4	L				BoxScore
70	357	Barracuda	2	Wolfpack	3	L				BoxScore
71	363	Icehogs	6	Barracuda	4	L				BoxScore
74	382	Barracuda	4	Moose	8	L				BoxScore
76	387	Crunch	4	Barracuda	7	W				BoxScore
80	411	Penguins	8	Barracuda	9	W	X	X		BoxScore
82	420	Barracuda	5	Penguins	4	W				BoxScore
85	436	Phantoms	4	Barracuda	2	L				BoxScore
88	454	Barracuda	2	Americans	3	L	X			BoxScore
90	461	Rockets	5	Barracuda	7	W				BoxScore
93	476	Barracuda	5	Phantoms	6	L	X			BoxScore
94	486	Bears	1	Barracuda	4	W				BoxScore
98	504	Barracuda	7	Crunch	6	W	X	X		BoxScore
100	511	Wolfpack	5	Barracuda	3	L				BoxScore
102	517	Barracuda	5	Thunderbirds	4	W	X			BoxScore
105	535	Barracuda	3	Admirals	5	L				BoxScore
106	543	Little Stars	3	Barracuda	2	L	X			BoxScore
109	556	Barracuda	0	Wranglers	3	L				BoxScore
111	568	Rockets	6	Barracuda	1	L				BoxScore
114	584	Barracuda	4	Condors	3	W			R1	BoxScore
116	594	Barracuda	6	Islander	4	W				BoxScore
117	598	Condors	3	Barracuda	4	W	X		R1	BoxScore
120	617	Barracuda	3	Comets	2	W	X			BoxScore
121	623	Gulls	5	Barracuda	3	L				BoxScore
124	632	Barracuda	2	Eagles	4	L				BoxScore
126	647	Gulls	4	Barracuda	2	L				BoxScore
131	673	Bears	4	Barracuda	2	L				BoxScore
134	694	Firebirds	3	Barracuda	6	W				BoxScore
136	707	Barracuda	2	Senators	4	L				BoxScore
138	716	Barracuda	4	Canucks	6	L				BoxScore
139	725	Americans	2	Barracuda	4	W				BoxScore
142	736	Barracuda	8	Gulls	5	W				BoxScore
144	751	Comets	6	Barracuda	4	L				BoxScore
145	761	Barracuda	5	Eagles	3	W				BoxScore
148	774	Barracuda	5	Rockets	4	W	X			BoxScore
149	780	Checkers	8	Barracuda	2	L				BoxScore
153	803	Americans	4	Barracuda	1	L				BoxScore
158	825	Marlies	8	Barracuda	1	L				BoxScore
160	839	Barracuda	5	Griffins	3	W			R1	BoxScore
162	851	Thunderbirds	2	Barracuda	3	W				BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
165	864	Barracuda	3	Griffins	4	L			R1	BoxScore
168	880	Islander	9	Barracuda	3	L				BoxScore
172	899	Marlies	6	Barracuda	4	L				BoxScore
174	912	Barracuda	2	Bears	4	L				BoxScore
176	922	Barracuda	5	Senators	3	W				BoxScore
177	926	Barracuda	7	Icehogs	4	W				BoxScore
178	934	Wranglers	5	Barracuda	3	L				BoxScore
183	957	Wranglers	6	Barracuda	7	W				BoxScore
185	972	Barracuda	3	Gulls	5	L				BoxScore
189	985	Moose	5	Barracuda	3	L				BoxScore
191	996	Barracuda	7	Icehogs	4	W				BoxScore
194	1012	Moose	4	Barracuda	3	L				BoxScore
199	1034	Admirals	3	Barracuda	4	W				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	70	40
Attendance	74,650	37,203
Attendance PCT	93.31%	93.01%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2796 - 93.21%	176,233$	7,049,300$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,548,495$	1,640,500$	1,640,500$	750,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
8,121$	1,783,740$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	11,834$	0$

Barracuda 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

Barracuda 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

Barracuda 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

Barracuda 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

Barracuda 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

	Barracuda
	GP: 80 \| W: 38 \| L: 37 \| OTL: 5 \| P: 81 GF: 313 \| GA: 347 \| PP%: 18.21% \| PK%: 74.83% GM : Roland Roberge \| Morale : 39 \| Team Overall : 64