Minnesota Wild
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Fighting Pandas 38-20-9, 85pts	2	FINAL	3	Barons 29-29-6, 64pts

Team Stats
L1	Streak	W1
17-9-6	Home Record	16-12-4
21-11-3	Home Record	13-17-2
5-3-2	Last 10 Games	5-5-0
4.34	Goals Per Game	3.75
3.51	Goals Against Per Game	3.81
27.34%	Power Play Percentage	22.86%
78.98%	Penalty Kill Percentage	77.94%

Barons
29-29-6, 64pts

FINAL

Firebirds
22-40-3, 47pts

Team Stats
W1	Streak	L1
16-12-4	Home Record	12-19-1
13-17-2	Home Record	10-21-2
5-5-0	Last 10 Games	1-8-1
3.75	Goals Per Game	3.95
3.81	Goals Against Per Game	4.78
22.86%	Power Play Percentage	23.36%
77.94%	Penalty Kill Percentage	73.97%

Aces
43-15-6, 92pts

Day 140

Barons
29-29-6, 64pts

Team Stats
SOW2	Streak	W1
23-9-0	Home Record	16-12-4
20-6-6	Away Record	13-17-2
8-1-1	Last 10 Games	5-5-0
3.77	Goals Per Game	3.75
3.03	Goals Against Per Game	3.75
25.56%	Power Play Percentage	22.86%
79.73%	Penalty Kill Percentage	77.94%

Barons
29-29-6, 64pts

Day 141

Canucks
29-29-7, 65pts

Team Stats
W1	Streak	L7
16-12-4	Home Record	16-12-4
13-17-2	Away Record	13-17-3
5-5-0	Last 10 Games	3-7-0
3.75	Goals Per Game	3.92
3.81	Goals Against Per Game	3.92
22.86%	Power Play Percentage	30.20%
77.94%	Penalty Kill Percentage	76.71%

Firebirds
22-40-3, 47pts

Day 145

Barons
29-29-6, 64pts

Team Stats
L1	Streak	W1
12-19-1	Home Record	16-12-4
10-21-2	Away Record	13-17-2
1-8-1	Last 10 Games	5-5-0
3.95	Goals Per Game	3.75
4.78	Goals Against Per Game	3.75
23.36%	Power Play Percentage	22.86%
73.97%	Penalty Kill Percentage	77.94%

Team Leaders
	Goals Parker Kelly 45	Assists Jayden Struble 58

	Points Parker Kelly 97	Plus/Minus Matias Maccelli 5

	Wins Ville Husso 5	Save Percentage Thatcher Demko 0.907

Team Stats
Goals For 240 3.75 GFG	Shots For 1871 29.23 Avg	Power Play Percentage 22.9% 32 GF	Offensive Zone Start 36.4%
Goals Against 244 3.81 GAA	Shots Against 2244 35.06 Avg	Penalty Kill Percentage 77.9%% 15 GA	Defensive Zone Start 42.1%

Team Info
	General Manager	Jeff Karas
	Coach	Neal Broten
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	18
	Farm Team	19
	Contract Limit	37 / 50
	Prospects	27

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	Parker Kelly	X	X			100.00	79	60	85	66	66	72	90	69	63	67	61	78	50	65	70	0	74	66	0	26	2	500,000$
2	Fedor Svechkov (R)	X				100.00	64	56	87	70	68	72	70	68	54	66	68	60	51	57	59	0	70	62	0	22	1	0$
3	Matias Maccelli		X			100.00	49	55	92	68	66	73	72	68	50	68	67	58	50	61	63	0	74	62	0	25	2	1,000,000$
4	Liam Ohgren (R)		X			100.00	68	54	95	66	68	66	56	67	50	63	57	57	50	55	57	0	63	59	0	22	2	500,000$
5	Dalibor Dvorsky			X		100.00	49	35	90	59	74	50	50	49	50	50	49	47	50	54	57	0	59	51	0	20	3	500,000$
6	Ozzy Wiesblatt			X		100.00	50	35	90	59	66	50	51	50	50	50	50	48	50	58	61	0	63	51	0	23	3	500,000$
7	Jan Jenik	X				100.00	49	35	90	57	71	50	50	49	50	50	50	47	50	62	62	0	49	51	0	25	2	500,000$
8	Kailer Yamamoto			X		100.00	49	55	91	57	62	53	53	49	50	49	49	48	51	72	70	0	62	51	0	27	3	500,000$
9	Grigori Denisenko		X			100.00	61	49	27	57	70	50	50	49	50	50	50	47	50	62	62	0	61	50	0	25	2	500,000$
10	Oskar Olausson			X		100.00	49	35	90	58	65	50	50	49	50	49	49	50	50	56	58	0	61	50	0	23	1	500,000$
11	Jayden Struble				X	100.00	81	66	74	65	76	67	73	71	50	67	53	69	62	62	65	0	66	65	0	24	3	500,000$
12	Mathew Dumba				X	100.00	70	65	69	63	66	68	78	67	50	61	52	69	55	73	72	0	55	63	0	31	3	1,000,000$
13	Erik Gudbranson				X	100.00	70	60	82	57	80	54	56	66	50	64	54	68	55	79	79	0	56	62	0	34	1	1,250,000$
14	Caleb Jones				X	100.00	49	41	84	57	69	50	52	50	50	50	49	50	55	69	70	0	57	52	0	28	2	500,000$
15	Hunter Brzustewicz				X	100.00	51	50	27	59	69	50	54	50	50	50	50	50	55	55	59	0	60	51	0	21	3	500,000$
Scratches
1	Jordan Eberle			X		100.00	56	56	83	72	63	79	65	76	50	73	69	63	65	78	77	0	19	66	0	35	1	1,250,000$

	TEAM AVERAGE					100.00	59	50	79	62	69	60	61	59	51	58	55	57	53	64	65	0	59	57

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	Thatcher Demko	100.00	71	71	71	74	68	76	71	70	69	64	80	69	70	0	70	69	0	30	1	1,500,000$
2	Ville Husso	100.00	61	66	65	76	50	57	54	48	50	50	50	69	69	0	35	57	0	31	3	500,000$
Scratches

	TEAM AVERAGE	100.00	66	69	68	75	59	67	63	59	60	57	65	69	70	0	53	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Neal Broten	85	86	99	70	70	75	1	USA	65	5	500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Parker Kelly	Barons (MIN)	C/LW	64	45	52	97	-5	22	183	263	343	91	248	13.12%	61	1582	24.72	6	9	15	35	119	0	1	1	3	54	6	1	55.18%	1990	0	3	1.23	1	6	11	5	6
2	Matias Maccelli	Barons (MIN)	LW	64	36	57	93	5	4	11	110	305	75	227	11.80%	25	1547	24.18	4	9	13	29	122	1	0	1	4	67	3	3	49.59%	121	1	0	1.20	0	1	5	9	5
3	Fedor Svechkov	Barons (MIN)	C	60	43	39	82	-2	6	65	176	269	86	183	15.99%	17	1322	22.04	4	8	12	26	95	0	0	0	0	45	5	1	50.43%	1521	0	3	1.24	3	4	10	2	7
4	Liam Ohgren	Barons (MIN)	LW	64	29	43	72	-6	4	92	98	222	49	144	13.06%	24	1452	22.69	6	8	14	27	107	0	0	0	2	52	5	0	42.60%	169	2	1	0.99	1	1	4	7	4
5	Jayden Struble	Barons (MIN)	D	64	8	58	66	-28	38	147	93	77	29	53	10.39%	118	1602	25.04	2	9	11	28	104	0	0	0	0	41	0	1	0%	2	0	0	0.82	0	0	2	6	5
6	Erik Gudbranson	Barons (MIN)	D	64	12	37	49	-34	10	63	82	78	26	49	15.38%	119	1504	23.50	4	4	8	17	92	0	1	1	0	52	2	1	20.00%	5	0	0	0.65	0	0	1	3	2
7	Ozzy Wiesblatt	Barons (MIN)	RW	64	10	16	26	-5	0	7	59	100	32	63	10.00%	17	1150	17.98	0	1	1	4	36	0	0	0	0	9	0	0	47.78%	90	0	0	0.45	0	0	0	1	2
8	Grigori Denisenko	Barons (MIN)	LW	64	7	12	19	-8	16	147	56	89	31	73	7.87%	9	1102	17.23	0	0	0	3	28	0	0	0	0	15	0	0	59.46%	74	0	0	0.34	0	0	0	4	1
9	Jan Jenik	Barons (MIN)	C	64	11	8	19	-14	0	10	109	73	23	59	15.07%	9	1240	19.39	1	0	1	3	23	0	0	0	0	12	1	0	48.05%	1128	0	0	0.31	0	0	1	0	2
10	Hunter Brzustewicz	Barons (MIN)	D	64	3	16	19	-5	28	123	24	32	14	17	9.38%	69	1388	21.70	0	3	3	9	98	0	0	0	0	38	0	1	33.33%	3	0	0	0.27	0	0	1	2	0
11	Dalibor Dvorsky	Barons (MIN)	RW	64	7	11	18	-17	2	20	26	55	6	31	12.73%	7	1286	20.11	2	0	2	10	99	0	0	0	0	20	1	1	42.28%	123	0	0	0.28	2	4	0	0	0
12	Mathew Dumba	Barons (MIN)	D	21	3	12	15	-1	4	26	25	22	6	24	13.64%	37	492	23.45	0	1	1	5	15	0	0	0	0	9	0	0	50.00%	32	0	0	0.61	0	0	0	1	1
13	Caleb Jones	Barons (MIN)	D	64	0	13	13	-3	2	19	23	25	4	22	0%	69	1441	22.52	0	0	0	7	96	0	0	0	0	51	0	0	80.00%	5	0	0	0.18	0	0	0	0	1
14	Kailer Yamamoto	Barons (MIN)	RW	64	4	9	13	1	0	11	24	35	10	22	11.43%	6	956	14.94	0	0	0	1	52	0	0	0	0	4	0	0	51.47%	68	0	0	0.27	0	1	0	0	0
15	Jordan Eberle	Barons (MIN)	RW	12	7	1	8	-4	2	6	18	57	9	27	12.28%	10	256	21.39	2	0	2	10	25	0	0	0	0	7	1	2	46.67%	15	0	0	0.62	0	2	1	0	2
16	Oskar Olausson	Barons (MIN)	RW	21	1	2	3	4	0	3	7	10	1	1	10.00%	3	191	9.10	0	0	0	0	4	0	0	0	0	0	0	0	50.00%	14	0	0	0.31	0	0	0	0	0
Team Total or Average				882	226	386	612	-122	138	933	1193	1792	492	1243	12.61%	600	18518	21.00	31	52	83	214	1122	1	2	3	9	482	24	11	51.29%	5360	3	7	0.66	7	19	36	40	38

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Dan Vladar	Minnesota Wild	45	21	18	3	0.893	3.90	2400	4	156	1454	3	0.824	17	43	6	5	1	1
2	Ville Husso	Barons (MIN)	8	5	2	0	0.843	4.32	417	0	30	191	0	0	0	8	1	0	0	1
3	Thatcher Demko	Barons (MIN)	23	3	9	3	0.907	3.17	1061	2	56	599	1	0.333	3	13	51	0	1	0
Team Total or Average			76	29	29	6	0.892	3.74	3879	6	242	2244	4		20	64	58	5	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
Caleb Jones	Barons (MIN)	D	28	1997-06-06	USA	No	194 Lbs	6 ft1	No	No	N/A		No	No	2	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dalibor Dvorsky	Barons (MIN)	RW	20	2005-06-15	SVK	No	201 Lbs	6 ft1	No	No	Free Agent		No	No	3	2025-07-27	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Erik Gudbranson	Barons (MIN)	D	34	1992-01-07	CAN	No	222 Lbs	6 ft5	No	No	Assign Manually		No	No	1	2024-08-23	False	False	Pro & Farm	1,250,000$	125,000$	29,167$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Fedor Svechkov	Barons (MIN)	C	22	2003-04-05	RUS	Yes	187 Lbs	6 ft0	No	No	Prospect		No	No	1	2025-08-05	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Grigori Denisenko	Barons (MIN)	LW	25	2000-06-24	RUS	No	198 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Hunter Brzustewicz	Barons (MIN)	D	21	2004-11-29	USA	No	190 Lbs	6 ft0	No	No	Free Agent		No	No	3	2025-07-27	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jan Jenik	Barons (MIN)	C	25	2000-09-15	CZE	No	199 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jayden Struble	Barons (MIN)	D	24	2001-09-08	USA	No	207 Lbs	6 ft0	No	No	Free Agent		No	No	3	2024-09-04	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jordan Eberle	Barons (MIN)	RW	35	1990-05-15	CAN	No	180 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2024-08-23	False	False	Pro & Farm	1,250,000$	125,000$	29,167$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kailer Yamamoto	Barons (MIN)	RW	27	1998-09-29	USA	No	178 Lbs	5 ft9	No	No	N/A		No	No	3	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Liam Ohgren	Barons (MIN)	LW	22	2004-01-28	SWE	Yes	187 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mathew Dumba	Barons (MIN)	D	31	1994-07-25	CAN	No	185 Lbs	6 ft1	No	No	N/A		No	No	3	2024-08-19	False	False	Pro & Farm	1,000,000$	100,000$	23,333$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matias Maccelli	Barons (MIN)	LW	25	2000-10-14	FIN	No	185 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	100,000$	23,333$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Oskar Olausson	Barons (MIN)	RW	23	2002-11-10	SWE	No	180 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ozzy Wiesblatt	Barons (MIN)	RW	23	2002-03-09	CAN	No	183 Lbs	5 ft10	No	No	Free Agent		No	No	3	2025-07-27	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Parker Kelly	Barons (MIN)	C/LW	26	1999-05-14	CAN	No	185 Lbs	6 ft1	No	No	Trade	2025-03-08	No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Thatcher Demko	Barons (MIN)	G	30	1995-12-08	USA	No	192 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	150,000$	35,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ville Husso	Barons (MIN)	G	31	1995-02-06	FIN	No	205 Lbs	6 ft3	No	No	Free Agent		No	No	3	2026-01-27	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	26.22	192 Lbs	6 ft1	2.11	666,667$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Liam Ohgren	Fedor Svechkov	Dalibor Dvorsky	40	1	2	2
2	Matias Maccelli	Parker Kelly	Kailer Yamamoto	30	1	2	2
3	Grigori Denisenko	Jan Jenik	Ozzy Wiesblatt	20	1	2	2
4	Matias Maccelli	Parker Kelly	Oskar Olausson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Caleb Jones	Erik Gudbranson	35	1	2	2
2	Jayden Struble	Mathew Dumba	30	1	2	2
3	Hunter Brzustewicz	Erik Gudbranson	25	1	2	2
4	Jayden Struble	Mathew Dumba	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matias Maccelli	Parker Kelly	Kailer Yamamoto	60	1	2	2
2	Liam Ohgren	Fedor Svechkov	Dalibor Dvorsky	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jayden Struble	Erik Gudbranson	60	1	2	2
2	Caleb Jones	Hunter Brzustewicz	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Parker Kelly	Matias Maccelli	60	1	2	2
2	Fedor Svechkov	Liam Ohgren	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jayden Struble	Erik Gudbranson	60	1	2	2
2	Caleb Jones	Hunter Brzustewicz	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Parker Kelly	60	1	2	2	Jayden Struble	Erik Gudbranson	60	1	2	2
2	Fedor Svechkov	40	1	2	2	Caleb Jones	Hunter Brzustewicz	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Parker Kelly	Matias Maccelli	60	1	2	2
2	Fedor Svechkov	Liam Ohgren	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jayden Struble	Erik Gudbranson	60	1	2	2
2	Caleb Jones	Hunter Brzustewicz	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matias Maccelli	Parker Kelly	Kailer Yamamoto	Jayden Struble	Erik Gudbranson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matias Maccelli	Parker Kelly	Oskar Olausson	Jayden Struble	Erik Gudbranson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Liam Ohgren, Dalibor Dvorsky, Ozzy Wiesblatt	Liam Ohgren, Dalibor Dvorsky	Liam Ohgren

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Erik Gudbranson, Caleb Jones, Hunter Brzustewicz	Erik Gudbranson	Erik Gudbranson, Caleb Jones

Penalty Shots
Fedor Svechkov, Parker Kelly, Kailer Yamamoto, Matias Maccelli, Liam Ohgren

Goalie
#1 : Ville Husso, #2 : Thatcher Demko

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
1	Aces	5	2	1	0	0	1	0	1	14	12	2	2	0	0	0	0	1	0	1	3	5	-2	3	2	1	0	0	0	0	0	11	7	4	6	0.600	14	24	38	0	0	89	74	70	10	120	643	596	603	48	127	32	10	65	15	4	26.67%	3	1	66.67%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
2	Admirals	2	1	1	0	0	0	0	0	9	4	5	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	7	1	6	2	0.500	9	13	22	0	0	89	74	70	10	56	643	596	603	48	42	10	4	28	0	0	0%	2	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
3	Americiens	3	0	3	0	0	0	0	0	12	16	-4	1	0	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	7	10	-3	0	0.000	12	22	34	0	0	89	74	70	10	100	643	596	603	48	151	38	0	63	11	3	27.27%	0	0	0%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
4	Barracuda	7	2	3	0	0	1	1	0	17	23	-6	3	1	1	0	0	0	1	0	7	7	0	4	1	2	0	0	1	0	0	10	16	-6	7	0.500	17	26	43	0	0	89	74	70	10	168	643	596	603	48	182	68	26	90	21	4	19.05%	13	3	76.92%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
5	Broncos	3	0	3	0	0	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	9	16	25	0	0	89	74	70	10	73	643	596	603	48	67	21	2	36	6	1	16.67%	1	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
6	Bruins	2	1	1	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	9	17	26	0	0	89	74	70	10	52	643	596	603	48	65	15	0	30	8	2	25.00%	0	0	0%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
7	Butter Knives	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	89	74	70	10	31	643	596	603	48	32	10	4	24	3	1	33.33%	2	0	100.00%	1	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
8	Canucks	5	2	1	0	0	1	1	0	22	22	0	3	2	1	0	0	0	0	0	13	13	0	2	0	0	0	0	1	1	0	9	9	0	7	0.700	22	38	60	0	0	89	74	70	10	122	643	596	603	48	165	30	10	53	3	0	0.00%	5	3	40.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
9	Fighting Pandas	3	1	0	0	2	0	0	0	12	8	4	2	1	0	0	1	0	0	0	8	5	3	1	0	0	0	1	0	0	0	4	3	1	6	1.000	12	21	33	0	0	89	74	70	10	58	643	596	603	48	91	26	6	41	4	0	0.00%	3	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
10	Firebirds	2	2	0	0	0	0	0	0	12	8	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	12	8	4	4	1.000	12	21	33	0	0	89	74	70	10	75	643	596	603	48	53	11	2	29	8	1	12.50%	1	1	0.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
11	Griffins	4	3	1	0	0	0	0	0	23	19	4	2	2	0	0	0	0	0	0	13	9	4	2	1	1	0	0	0	0	0	10	10	0	6	0.750	23	40	63	0	0	89	74	70	10	161	643	596	603	48	182	53	14	82	11	5	45.45%	7	2	71.43%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
12	Ice Bats	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	7	0	2	0.500	7	9	16	0	0	89	74	70	10	55	643	596	603	48	79	27	8	25	5	0	0.00%	3	1	66.67%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
13	Lions	2	1	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	18	27	0	0	89	74	70	10	80	643	596	603	48	77	26	8	33	4	0	0.00%	4	1	75.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
14	Lynx	2	0	1	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	4	8	12	0	0	89	74	70	10	52	643	596	603	48	59	18	2	35	1	0	0.00%	1	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
15	Marlies	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	9	14	0	0	89	74	70	10	51	643	596	603	48	76	18	6	26	4	2	50.00%	3	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
16	Nordiks	3	2	0	0	0	0	1	0	14	9	5	3	2	0	0	0	0	1	0	14	9	5	0	0	0	0	0	0	0	0	0	0	0	6	1.000	14	23	37	0	0	89	74	70	10	115	643	596	603	48	172	38	8	53	7	2	28.57%	4	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
17	Quacken	5	1	3	0	0	0	1	0	17	19	-2	2	1	0	0	0	0	1	0	10	4	6	3	0	3	0	0	0	0	0	7	15	-8	4	0.400	17	24	41	0	0	89	74	70	10	146	643	596	603	48	161	50	12	68	8	1	12.50%	6	0	100.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
18	Roadrunners	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	89	74	70	10	34	643	596	603	48	32	8	4	10	0	0	0%	2	1	50.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
19	Tomahawks	3	1	2	0	0	0	0	0	16	15	1	2	1	1	0	0	0	0	0	11	9	2	1	0	1	0	0	0	0	0	5	6	-1	2	0.333	16	26	42	0	0	89	74	70	10	96	643	596	603	48	147	39	4	55	7	2	28.57%	1	1	0.00%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
20	Wombats	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	2	3	2	0.500	7	13	20	0	0	89	74	70	10	55	643	596	603	48	64	19	0	31	4	1	25.00%	0	0	0%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
21	Wranglers	5	1	2	0	1	0	0	1	16	21	-5	2	0	1	0	0	0	0	1	6	11	-5	3	1	1	0	1	0	0	0	10	10	0	5	0.500	16	29	45	0	0	89	74	70	10	171	643	596	603	48	220	65	16	82	10	3	30.00%	7	1	85.71%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
	Total	64	22	29	0	3	4	4	2	240	244	-4	32	12	12	0	1	2	3	2	123	117	6	32	10	17	0	2	2	1	0	117	127	-10	64	0.500	240	408	648	0	0	89	74	70	10	1871	643	596	603	48	2244	622	146	959	140	32	22.86%	68	15	77.94%	1	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
	_Since Last GM Reset	64	22	29	0	3	4	4	2	240	244	-4	32	12	12	0	1	2	3	2	123	117	6	32	10	17	0	2	2	1	0	117	127	-10	64	0.500	240	408	648	0	0	89	74	70	10	1871	643	596	603	48	2244	622	146	959	140	32	22.86%	68	15	77.94%	1	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
	_Vs Conference	41	16	15	0	1	3	4	2	155	154	1	21	10	5	0	0	1	3	2	86	74	12	20	6	10	0	1	2	1	0	69	80	-11	47	0.573	155	257	412	0	0	89	74	70	10	1234	643	596	603	48	1512	428	116	606	91	21	23.08%	53	13	75.47%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418
	_Vs Division	23	8	10	0	1	3	3	2	73	81	-8	11	4	3	0	0	1	2	2	36	34	2	12	4	7	0	1	2	1	0	37	47	-10	29	0.630	73	118	191	0	0	89	74	70	10	590	643	596	603	48	667	188	62	286	47	9	19.15%	29	8	72.41%	0	1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%	1506	1047	1537	455	840	418

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
64	64	W1	240	408	648	1871	2244	622	146	959	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
64	22	29	3	4	4	2	240	244

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	12	12	1	2	3	2	123	117

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	10	17	2	2	1	0	117	127

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
140	32	22.86%	68	15	77.94%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
643	596	603	48	89	74	70	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1034	1950	53.03%	1152	2259	51.00%	593	1151	51.52%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1506	1047	1537	455	840	418

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
2	4	Wranglers	6	Barons	2	L			BoxScore
3	10	Barons	0	Barracuda	5	L			BoxScore
5	19	Barons	5	Wranglers	4	W			BoxScore
7	28	Barons	2	Wranglers	4	L			BoxScore
9	42	Wranglers	5	Barons	4	L	X	X	BoxScore
11	50	Barons	4	Canucks	5	L	X		BoxScore
14	63	Barracuda	2	Barons	3	W	X	X	BoxScore
16	78	Barons	2	Barracuda	1	W			BoxScore
18	85	Aces	3	Barons	2	L	X		BoxScore
21	101	Nordiks	2	Barons	3	W			BoxScore
24	115	Barons	3	Aces	1	W			BoxScore
25	121	Barons	3	Quacken	4	L			BoxScore
27	131	Broncos	5	Barons	3	L			BoxScore
30	144	Quacken	3	Barons	4	W	X	X	BoxScore
34	163	Canucks	5	Barons	3	L			BoxScore
37	178	Griffins	3	Barons	4	W			BoxScore
39	185	Barons	2	Lynx	4	L			BoxScore
41	192	Barons	2	Quacken	5	L			BoxScore
43	200	Barons	3	Ice Bats	2	W			BoxScore
45	210	Americiens	6	Barons	5	L			BoxScore
47	221	Barons	3	Butter Knives	5	L			BoxScore
49	232	Marlies	5	Barons	2	L			BoxScore
50	244	Barons	7	Admirals	1	W			BoxScore
52	254	Admirals	3	Barons	2	L			BoxScore
54	263	Barons	5	Canucks	4	W	X	X	BoxScore
56	277	Nordiks	2	Barons	5	W			BoxScore
58	290	Barons	5	Wombats	2	W			BoxScore
60	298	Canucks	4	Barons	5	W			BoxScore
62	309	Barons	4	Americiens	5	L			BoxScore
65	322	Quacken	1	Barons	6	W			BoxScore
67	331	Barons	3	Americiens	5	L			BoxScore
69	341	Barons	2	Quacken	6	L			BoxScore
70	349	Bruins	1	Barons	6	W			BoxScore
74	367	Nordiks	5	Barons	6	W	X	X	BoxScore
76	380	Barons	4	Fighting Pandas	3	W	X		BoxScore
77	387	Barracuda	1	Barons	2	W			BoxScore
80	402	Barons	5	Tomahawks	6	L			BoxScore
82	410	Griffins	6	Barons	9	W			BoxScore
84	422	Barons	2	Broncos	5	L			BoxScore
85	432	Tomahawks	5	Barons	4	L			BoxScore
88	440	Barons	7	Griffins	5	W			BoxScore
91	453	Barons	4	Ice Bats	5	L			BoxScore
92	461	Fighting Pandas	3	Barons	5	W			BoxScore
95	470	Barons	3	Bruins	5	L			BoxScore
97	479	Roadrunners	5	Barons	3	L			BoxScore
98	491	Barons	4	Barracuda	5	L	X		BoxScore
101	503	Lynx	3	Barons	2	L	X		BoxScore
103	514	Barons	3	Griffins	5	L			BoxScore
104	522	Wombats	4	Barons	2	L			BoxScore
107	538	Tomahawks	4	Barons	7	W			BoxScore
108	548	Barons	3	Marlies	4	L			BoxScore
111	560	Aces	2	Barons	1	L	X	X	BoxScore
112	570	Barons	6	Aces	1	W			BoxScore
114	579	Barons	3	Wranglers	2	W	X		BoxScore
116	588	Lions	5	Barons	3	L			BoxScore
120	606	Barracuda	4	Barons	2	L			BoxScore
122	616	Barons	2	Aces	5	L			BoxScore
123	627	Canucks	4	Barons	5	W			BoxScore
125	634	Barons	4	Barracuda	5	L			BoxScore
127	649	Broncos	6	Barons	4	L			BoxScore
131	667	Lions	2	Barons	6	W			BoxScore
133	676	Barons	6	Firebirds	4	W			BoxScore
136	692	Fighting Pandas	2	Barons	3	W	X		BoxScore
137	697	Barons	6	Firebirds	4	W			BoxScore
140	713	Aces	-	Barons	-
141	718	Barons	-	Canucks	-
145	734	Firebirds	-	Barons	-
147	747	Barons	-	Lions	-
148	756	Barons	-	Wranglers	-
149	761	Ice Bats	-	Barons	-
152	778	Barons	-	Roadrunners	-
Trade Deadline --- Trades can’t be done after this day is simulated!
154	784	Ice Bats	-	Barons	-
157	801	Quacken	-	Barons	-
160	812	Barons	-	Nordiks	-
162	823	Broncos	-	Barons	-
163	830	Barons	-	Tomahawks	-
167	844	Wranglers	-	Barons	-
168	851	Barons	-	Roadrunners	-
171	866	Butter Knives	-	Barons	-
174	878	Barons	-	Lions	-
176	887	Wranglers	-	Barons	-
177	893	Barons	-	Nordiks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
9	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,292,593$	1,200,000$	1,200,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,200,000$	909,343$	18	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	42	9,444$	396,648$

Barons 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

Barons 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

Barons 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

Barons 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

Barons 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

	Barons
	GP: 64 \| W: 29 \| L: 29 \| OTL: 6 \| P: 64 GF: 240 \| GA: 244 \| PP%: 22.86% \| PK%: 77.94% GM : Jeff Karas \| Morale : 43 \| Team Overall : 58 Next Games #713 vs Aces