Ottawa Senators
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Admirals 5-20-1, 11pts	4	FINAL	3	Fighting Pandas 14-9-4, 32pts

Team Stats
L1	Streak	OTL1
2-11-1	Home Record	6-4-4
3-9-0	Home Record	8-5-0
3-7-0	Last 10 Games	4-3-3
3.50	Goals Per Game	4.33
5.81	Goals Against Per Game	3.78
17.46%	Power Play Percentage	31.37%
69.81%	Penalty Kill Percentage	83.13%

Firebirds
16-11-0, 32pts

FINAL

Fighting Pandas
14-9-4, 32pts

Team Stats
OTW1	Streak	OTL1
9-4-0	Home Record	6-4-4
7-7-0	Home Record	8-5-0
7-3-0	Last 10 Games	4-3-3
4.85	Goals Per Game	4.33
4.37	Goals Against Per Game	3.78
19.70%	Power Play Percentage	31.37%
80.00%	Penalty Kill Percentage	83.13%

Fighting Pandas
14-9-4, 32pts

Day 61

Roadrunners
20-7-1, 41pts

Team Stats
OTL1	Streak	L1
6-4-4	Home Record	11-2-0
8-5-0	Away Record	9-5-1
4-3-3	Last 10 Games	7-2-1
4.33	Goals Per Game	3.89
3.78	Goals Against Per Game	3.89
31.37%	Power Play Percentage	29.41%
83.13%	Penalty Kill Percentage	86.15%

Wranglers
16-9-2, 34pts

Day 63

Fighting Pandas
14-9-4, 32pts

Team Stats
OTW1	Streak	OTL1
9-5-0	Home Record	6-4-4
7-4-2	Away Record	8-5-0
5-5-0	Last 10 Games	4-3-3
4.89	Goals Per Game	4.33
4.67	Goals Against Per Game	4.33
12.24%	Power Play Percentage	31.37%
66.67%	Penalty Kill Percentage	83.13%

Fighting Pandas
14-9-4, 32pts

Day 66

Griffins
14-13-0, 28pts

Team Stats
OTL1	Streak	W1
6-4-4	Home Record	7-6-0
8-5-0	Away Record	7-7-0
4-3-3	Last 10 Games	6-4-0
4.33	Goals Per Game	5.63
3.78	Goals Against Per Game	5.63
31.37%	Power Play Percentage	18.75%
83.13%	Penalty Kill Percentage	68.75%

Team Leaders
	Goals Connor Brown 22	Assists Sean Durzi 21

	Points Connor Brown 39	Plus/Minus Keegan Kolesar 9

	Wins Jakub Dobes 13	Save Percentage Cayden Primeau 0.897

Team Stats
Goals For 117 4.33 GFG	Shots For 867 32.11 Avg	Power Play Percentage 31.4% 16 GF	Offensive Zone Start 38.6%
Goals Against 102 3.78 GAA	Shots Against 887 32.85 Avg	Penalty Kill Percentage 83.1%% 14 GA	Defensive Zone Start 39.6%

Team Info
	General Manager	Hunter Jones
	Coach	Patrick Lalime
	Division	Atlantic
	Conference	Eastern Conference
	Captain	Jeff Skinner
	Assistant #1	Ryker Evans
	Assistant #2	Keegan Kolesar
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	19
	Contract Limit	43 / 50
	Prospects	30

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	Connor Brown			X		100.00	53	54	94	67	65	74	92	70	50	67	68	76	51	72	73	0	67	66	0	31	2	500,000$
2	Keegan Kolesar (A)			X		99.00	85	71	88	68	77	72	92	74	50	67	64	67	50	66	67	0	66	66	0	28	2	500,000$
3	Mackie Samoskevich (R)	X		X		100.00	76	55	90	75	64	73	83	73	50	68	69	60	54	56	59	0	66	65	0	23	2	500,000$
4	Jeff Skinner (C)		X	X		99.00	65	56	89	69	71	72	83	73	57	65	70	60	51	77	75	0	61	65	0	33	1	2,000,000$
5	Radek Faksa	X				100.00	78	59	78	65	77	72	82	65	79	64	54	72	61	74	74	0	63	64	0	31	3	500,000$
6	Cole Koepke		X			100.00	81	62	92	66	74	69	83	67	50	61	63	66	50	65	65	0	64	63	0	27	1	500,000$
7	Beck Malenstyn		X			100.00	82	61	83	63	75	67	86	58	61	59	51	67	50	66	67	0	64	61	0	27	2	700,000$
8	Alexander Holtz			X		100.00	65	56	89	66	71	69	70	61	50	62	53	59	53	57	59	0	59	59	0	23	2	500,000$
9	Samuel Helenius (R)	X				100.00	84	69	89	65	74	63	67	60	63	58	55	60	50	57	58	0	62	59	0	23	3	750,000$
10	Ben Jones	X				100.00	74	74	99	60	66	61	55	52	50	53	49	59	50	64	63	0	56	55	0	26	4	500,000$
11	Arshdeep Bains		X			100.00	64	50	89	57	65	60	53	52	50	50	50	54	50	62	61	0	48	53	0	24	2	500,000$
12	Ryker Evans (A)				X	100.00	77	59	79	67	70	75	87	72	50	68	54	70	56	59	63	0	63	66	0	23	2	500,000$
13	Sean Durzi				X	100.00	61	66	76	67	70	75	62	71	50	66	60	72	56	65	68	0	65	64	0	27	1	1,000,000$
14	Kaedan Korczak				X	100.00	72	56	96	62	74	66	64	68	50	65	50	70	65	61	65	0	62	63	0	23	2	500,000$
15	Declan Chisholm				X	100.00	63	56	91	65	68	71	80	67	50	60	52	67	55	63	64	0	62	63	0	25	2	500,000$
16	Samuel Bolduc				X	100.00	50	35	94	58	82	61	58	50	50	50	49	49	55	61	63	0	59	54	0	24	2	500,000$
Scratches
1	Ivan Ivan (R)	X	X			100.00	55	55	89	64	67	64	62	60	55	57	58	58	50	58	58	0	32	57	0	23	2	500,000$
2	Matej Blümel			X		100.00	51	50	89	57	73	50	51	50	50	50	50	50	50	60	61	0	23	51	0	25	4	500,000$
3	Georgii Merkulov	X				100.00	50	39	83	57	61	50	53	50	50	50	50	50	50	58	60	0	23	51	0	25	1	500,000$
4	Alec Martinez				X	100.00	64	57	92	65	74	74	67	70	50	63	61	70	56	86	82	0	57	66	0	38	2	700,000$
5	Ryan Johnson				X	100.00	50	47	40	57	70	50	54	50	50	50	50	50	55	60	62	0	23	52	0	24	1	500,000$

	TEAM AVERAGE					99.90	67	57	86	64	71	66	71	63	53	60	56	62	53	64	65	0	55	60

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	Jakub Dobes (R)	98.00	72	68	70	79	74	68	64	69	67	65	87	60	63	0	22	67	0	24	3	750,000$
2	Devon Levi	100.00	50	64	60	71	50	50	50	50	50	50	50	56	56	0	56	53	0	23	1	500,000$
Scratches
1	Cayden Primeau	100.00	50	65	61	76	61	54	53	55	50	50	59	61	61	0	45	57	0	26	4	500,000$

	TEAM AVERAGE	99.33	57	66	64	75	62	57	56	58	56	55	65	59	60	0	41	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Patrick Lalime	90	90	95	70	70	65	1	CAN	51	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Connor Brown	Fighting Pandas (OTT)	RW	27	22	17	39	4	2	0	1	54	144	31	77	15.28%	12	538	19.94	2	5	7	13	39	1	42	0	3	48.84%	86	0	2	1.45	2	2	0	5	0	1
2	Keegan Kolesar	Fighting Pandas (OTT)	RW	27	18	14	32	9	18	0	82	62	102	34	71	17.65%	7	627	23.25	2	4	6	12	40	0	72	2	0	50.50%	200	0	0	1.02	0	2	0	5	1	3
3	Mackie Samoskevich	Fighting Pandas (OTT)	C/RW	27	12	19	31	6	10	0	15	39	77	21	49	15.58%	5	508	18.83	2	3	5	7	41	1	41	2	0	47.39%	595	1	0	1.22	2	2	0	2	4	0
4	Cole Koepke	Fighting Pandas (OTT)	LW	27	13	13	26	4	12	0	33	28	69	13	50	18.84%	4	509	18.88	3	1	4	8	39	0	2	1	1	46.34%	41	0	0	1.02	0	0	0	1	1	2
5	Radek Faksa	Fighting Pandas (OTT)	C	27	5	20	25	5	10	0	71	46	55	14	53	9.09%	2	494	18.33	1	3	4	6	39	0	0	1	1	64.37%	595	0	0	1.01	0	1	0	0	2	2
6	Alec Martinez	Fighting Pandas (OTT)	D	25	4	20	24	8	12	0	12	23	37	5	18	10.81%	24	575	23.04	2	4	6	12	39	1	58	0	0	0%	0	0	0	0.83	0	0	0	0	0	2
7	Jeff Skinner	Fighting Pandas (OTT)	LW/RW	27	12	12	24	6	2	0	20	37	91	29	61	13.19%	7	643	23.84	1	1	2	7	40	2	78	0	0	52.63%	57	0	0	0.75	0	2	0	2	3	0
8	Sean Durzi	Fighting Pandas (OTT)	D	27	2	21	23	5	19	5	47	23	34	12	29	5.88%	27	566	20.99	1	4	5	14	36	0	62	1	0	0%	0	0	0	0.81	0	1	1	1	2	2
9	Ryker Evans	Fighting Pandas (OTT)	D	27	2	18	20	7	28	0	91	20	23	13	24	8.70%	39	634	23.51	1	2	3	10	42	0	59	0	0	0%	0	0	0	0.63	0	0	0	0	0	3
10	Kaedan Korczak	Fighting Pandas (OTT)	D	27	1	14	15	5	14	0	39	20	17	4	14	5.88%	32	541	20.06	0	1	1	5	36	0	56	1	0	0%	0	0	0	0.55	1	1	0	1	0	1
11	Beck Malenstyn	Fighting Pandas (OTT)	LW	27	11	4	15	3	12	0	38	38	72	25	56	15.28%	10	446	16.55	0	0	0	0	1	0	19	3	1	43.18%	44	0	0	0.67	0	0	0	0	2	1
12	Samuel Helenius	Fighting Pandas (OTT)	C	27	8	7	15	3	10	0	39	57	60	14	38	13.33%	6	412	15.28	0	0	0	0	0	0	0	2	0	55.60%	473	0	0	0.73	0	0	0	0	0	2
13	Declan Chisholm	Fighting Pandas (OTT)	D	27	5	9	14	1	22	0	72	25	32	8	11	15.63%	41	442	16.38	1	0	1	4	5	0	13	0	0	0%	0	0	0	0.63	0	0	0	2	1	0
14	Alexander Holtz	Fighting Pandas (OTT)	RW	27	1	10	11	4	6	0	5	26	44	19	35	2.27%	5	442	16.38	0	0	0	0	1	1	25	0	0	44.26%	61	0	0	0.50	0	0	0	0	0	0
15	Samuel Bolduc	Fighting Pandas (OTT)	D	27	0	7	7	5	4	0	17	4	5	1	7	0%	18	440	16.30	0	0	0	0	2	0	27	0	0	0%	0	0	0	0.32	0	0	0	0	1	0
16	Ben Jones	Fighting Pandas (OTT)	C	27	0	0	0	-2	0	0	0	0	0	0	1	0%	0	47	1.77	0	0	0	0	2	0	9	0	0	30.00%	10	0	0	0	0	0	0	0	0	0
17	Ivan Ivan	Fighting Pandas (OTT)	C/LW	7	0	0	0	-3	0	0	0	4	1	1	2	0%	1	25	3.68	0	0	0	0	0	0	0	0	0	38.71%	31	0	0	0	0	0	0	0	0	0
Team Total or Average				437	116	205	321	70	181	5	582	506	863	244	596	13.44%	240	7899	18.08	16	28	44	98	407	6	569	13	6	53.85%	2193	1	2	0.81	5	11	1	19	17	19

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	GA	SA	A	PS %	ST	BG	S1	S2
1	Jakub Dobes	Fighting Pandas (OTT)	27	13	9	2	0.880	3.89	1435	93	778	4	0	27	0	1	1
2	Cayden Primeau	Fighting Pandas (OTT)	2	0	0	0	0.897	3.16	76	4	39	0	0	0	7	0	0
Team Total or Average			29	13	9	2	0.881	3.85	1511	97	817	4		27	7	1	1

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
Alec Martinez	Fighting Pandas (OTT)	D	38	1987-07-26	USA	No	210 Lbs	6 ft1	No	No	Trade	2025-03-05	No	No	2	2024-08-21	False	False	Pro & Farm	700,000$	70,000$	47,056$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Holtz	Fighting Pandas (OTT)	RW	23	2002-01-23	SWE	No	198 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Arshdeep Bains	Fighting Pandas (OTT)	LW	24	2001-01-09	CAN	No	184 Lbs	6 ft0	No	No	Free Agent		No	No	2	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Beck Malenstyn	Fighting Pandas (OTT)	LW	27	1998-02-04	CAN	No	209 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2024-08-21	False	False	Pro & Farm	700,000$	70,000$	47,056$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ben Jones	Fighting Pandas (OTT)	C	26	1999-02-26	CAN	No	187 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Cayden Primeau	Fighting Pandas (OTT)	G	26	1999-08-11	USA	No	205 Lbs	6 ft3	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Cole Koepke	Fighting Pandas (OTT)	LW	27	1998-05-17	USA	No	207 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-10-11	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Brown	Fighting Pandas (OTT)	RW	31	1994-01-14	CAN	No	184 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Declan Chisholm	Fighting Pandas (OTT)	D	25	2000-01-12	CAN	No	190 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Devon Levi	Fighting Pandas (OTT)	G	23	2001-12-27	CAN	No	192 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Georgii Merkulov	Fighting Pandas (OTT)	C	25	2000-10-10	RUS	No	176 Lbs	5 ft11	No	No	Free Agent		No	No	1	2024-09-09	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ivan Ivan	Fighting Pandas (OTT)	C/LW	23	2002-08-20	CZE	Yes	190 Lbs	6 ft0	No	No	Free Agent		No	No	2	2025-08-09	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Dobes	Fighting Pandas (OTT)	G	24	2001-05-27	CZE	Yes	215 Lbs	6 ft4	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	750,000$	75,000$	50,417$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jeff Skinner	Fighting Pandas (OTT)	LW/RW	33	1992-05-16	CAN	No	200 Lbs	5 ft11	No	No	Trade	2024-08-25	No	No	1		False	False	Pro & Farm	2,000,000$	200,000$	134,444$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kaedan Korczak	Fighting Pandas (OTT)	D	23	2002-01-18	CAN	No	202 Lbs	6 ft3	No	No	Trade	2025-08-04	No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Keegan Kolesar	Fighting Pandas (OTT)	RW	28	1997-04-08	CAN	No	216 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mackie Samoskevich	Fighting Pandas (OTT)	C/RW	23	2002-11-15	USA	Yes	180 Lbs	5 ft11	No	No	Trade	2025-08-04	No	No	2	2024-08-10	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matej Blümel	Fighting Pandas (OTT)	RW	25	2000-05-31	CZE	No	205 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Radek Faksa	Fighting Pandas (OTT)	C	31	1994-01-09	CZE	No	215 Lbs	6 ft3	No	No	N/A		No	No	3	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ryan Johnson	Fighting Pandas (OTT)	D	24	2001-07-24	USA	No	195 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-09-09	False	False	Pro & Farm	500,000$	50,000$	33,611$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryker Evans	Fighting Pandas (OTT)	D	23	2001-12-13	CAN	No	195 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Samuel Bolduc	Fighting Pandas (OTT)	D	24	2000-12-09	CAN	No	224 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	33,611$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Samuel Helenius	Fighting Pandas (OTT)	C	23	2002-11-26	USA	Yes	201 Lbs	6 ft6	No	No	Free Agent		No	No	3	2025-08-10	False	False	Pro & Farm	750,000$	75,000$	50,417$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sean Durzi	Fighting Pandas (OTT)	D	27	1998-10-21	CAN	No	196 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	67,222$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.08	199 Lbs	6 ft1	2.13	620,833$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jeff Skinner	Mackie Samoskevich	Keegan Kolesar	40	1	2	2
2	Cole Koepke	Radek Faksa	Connor Brown	30	1	2	2
3	Beck Malenstyn	Samuel Helenius	Alexander Holtz	20	1	2	2
4	Keegan Kolesar		Jeff Skinner	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryker Evans	40	1	2	2
2	Sean Durzi	Kaedan Korczak	30	1	2	2
3	Declan Chisholm	Samuel Bolduc	20	1	2	2
4		Ryker Evans	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jeff Skinner	Mackie Samoskevich	Keegan Kolesar	60	1	2	2
2	Cole Koepke	Radek Faksa	Connor Brown	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryker Evans	60	1	2	2
2	Sean Durzi	Kaedan Korczak	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Keegan Kolesar	Jeff Skinner	60	1	2	2
2	Connor Brown	Mackie Samoskevich	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryker Evans	60	1	2	2
2	Sean Durzi	Kaedan Korczak	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Keegan Kolesar	60	1	2	2		Ryker Evans	60	1	2	2
2	Jeff Skinner	40	1	2	2	Sean Durzi	Kaedan Korczak	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Keegan Kolesar	Jeff Skinner	60	1	2	2
2	Connor Brown	Mackie Samoskevich	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryker Evans	60	1	2	2
2	Sean Durzi	Kaedan Korczak	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jeff Skinner	Mackie Samoskevich	Keegan Kolesar		Ryker Evans

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jeff Skinner	Mackie Samoskevich	Keegan Kolesar		Ryker Evans

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ben Jones, Beck Malenstyn, Alexander Holtz	Ben Jones, Beck Malenstyn	Alexander Holtz

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Declan Chisholm, Samuel Bolduc, Sean Durzi	Declan Chisholm	Samuel Bolduc, Sean Durzi

Penalty Shots
Keegan Kolesar, Jeff Skinner, Connor Brown, Mackie Samoskevich, Radek Faksa

Goalie
#1 : Jakub Dobes, #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
1	Admirals	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	42	31	42	6	22	265	288	303	22	25	6	10	17	0	0	0%	5	0	100.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
2	Americiens	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	8	15	23	0	0	42	31	42	6	70	265	288	303	22	74	28	6	50	4	1	25.00%	3	1	66.67%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
3	Barracuda	2	1	0	0	0	1	0	0	9	8	1	1	0	0	0	0	1	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	9	17	26	0	0	42	31	42	6	54	265	288	303	22	47	16	8	49	8	3	37.50%	4	1	75.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
4	Broncos	4	2	2	0	0	0	0	0	15	13	2	0	0	0	0	0	0	0	0	0	0	0	4	2	2	0	0	0	0	0	15	13	2	4	0.500	15	26	41	0	0	42	31	42	6	95	265	288	303	22	113	27	20	83	3	2	66.67%	10	2	80.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
5	Bruins	2	1	0	0	1	0	0	0	10	8	2	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	10	16	26	0	0	42	31	42	6	75	265	288	303	22	64	11	20	45	7	2	28.57%	9	1	88.89%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
6	Butter Knives	2	1	1	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	7	2	5	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	10	17	27	0	0	42	31	42	6	80	265	288	303	22	67	18	22	43	6	1	16.67%	11	2	81.82%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
7	Firebirds	2	1	0	0	0	1	0	0	11	7	4	2	1	0	0	0	1	0	0	11	7	4	0	0	0	0	0	0	0	0	0	0	0	3	0.750	11	20	31	0	0	42	31	42	6	70	265	288	303	22	79	19	18	51	3	1	33.33%	9	1	88.89%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
8	Lions	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	13	20	0	0	42	31	42	6	37	265	288	303	22	40	8	8	27	3	1	33.33%	4	1	75.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
9	Lynx	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	2	1	1	4	1.000	9	16	25	0	0	42	31	42	6	61	265	288	303	22	54	12	4	38	2	0	0.00%	1	0	100.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
10	Marlies	3	0	2	0	0	0	1	0	9	16	-7	2	0	2	0	0	0	0	0	1	9	-8	1	0	0	0	0	0	1	0	8	7	1	2	0.333	9	16	25	0	0	42	31	42	6	86	265	288	303	22	80	24	26	54	6	2	33.33%	11	3	72.73%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
11	Nordiks	2	0	1	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	12	14	-2	0	0	0	0	0	0	0	0	0	0	0	1	0.250	12	21	33	0	0	42	31	42	6	88	265	288	303	22	101	34	15	45	4	1	25.00%	4	0	100.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
12	Roadrunners	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	3	6	9	0	0	42	31	42	6	61	265	288	303	22	54	10	14	41	2	0	0.00%	7	2	71.43%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
13	Tomahawks	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	42	31	42	6	32	265	288	303	22	53	11	8	22	2	1	50.00%	4	0	100.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
14	Wranglers	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	2	6	2	1.000	8	13	21	0	0	42	31	42	6	36	265	288	303	22	36	16	2	19	1	1	100.00%	1	0	100.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
	Total	27	12	9	0	1	3	1	1	117	102	15	14	6	4	0	0	3	0	1	63	58	5	13	6	5	0	1	0	1	0	54	44	10	32	0.593	117	206	323	0	0	42	31	42	6	867	265	288	303	22	887	240	181	584	51	16	31.37%	83	14	83.13%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
	_Since Last GM Reset	27	12	9	0	1	3	1	1	117	102	15	14	6	4	0	0	3	0	1	63	58	5	13	6	5	0	1	0	1	0	54	44	10	32	0.593	117	206	323	0	0	42	31	42	6	867	265	288	303	22	887	240	181	584	51	16	31.37%	83	14	83.13%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
	_Vs Conference	20	9	8	0	1	1	1	0	78	70	8	10	6	3	0	0	1	0	0	42	33	9	10	3	5	0	1	0	1	0	36	37	-1	23	0.575	78	138	216	0	0	42	31	42	6	620	265	288	303	22	610	155	140	422	33	9	27.27%	66	12	81.82%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180
	_Vs Division	11	5	4	0	1	0	1	0	46	42	4	6	4	2	0	0	0	0	0	25	21	4	5	1	2	0	1	0	1	0	21	21	0	14	0.636	46	80	126	0	0	42	31	42	6	372	265	288	303	22	339	93	78	230	25	6	24.00%	35	7	80.00%	0	482	861	55.98%	468	883	53.00%	269	484	55.58%	709	506	588	182	346	180

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
27	32	OTL1	117	206	323	867	887	240	181	584	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	12	9	1	3	1	1	117	102

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	4	0	3	0	1	63	58

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	6	5	1	0	1	0	54	44

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	3	0	2	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
51	16	31.37%	83	14	83.13%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
265	288	303	22	42	31	42	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
482	861	55.98%	468	883	53.00%	269	484	55.58%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
709	506	588	182	346	180

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	7	Marlies	6	Fighting Pandas	1	L			BoxScore
6	23	Fighting Pandas	3	Americiens	4	L			BoxScore
8	34	Americiens	3	Fighting Pandas	5	W			BoxScore
9	38	Fighting Pandas	2	Broncos	1	W			BoxScore
12	54	Bruins	4	Fighting Pandas	5	W			BoxScore
13	61	Fighting Pandas	3	Broncos	6	L			BoxScore
16	74	Butter Knives	2	Fighting Pandas	7	W			BoxScore
18	84	Fighting Pandas	5	Bruins	4	W	X		BoxScore
20	98	Lynx	3	Fighting Pandas	7	W			BoxScore
21	105	Fighting Pandas	0	Roadrunners	3	L			BoxScore
25	119	Roadrunners	1	Fighting Pandas	3	W			BoxScore
26	125	Fighting Pandas	2	Lynx	1	W			BoxScore
29	138	Fighting Pandas	3	Broncos	5	L			BoxScore
31	147	Marlies	3	Fighting Pandas	0	L			BoxScore
32	154	Fighting Pandas	8	Marlies	7	W	X	X	BoxScore
35	169	Firebirds	2	Fighting Pandas	7	W			BoxScore
39	184	Tomahawks	4	Fighting Pandas	3	L	X		BoxScore
41	193	Fighting Pandas	3	Barracuda	1	W			BoxScore
43	201	Fighting Pandas	3	Butter Knives	5	L			BoxScore
45	212	Nordiks	7	Fighting Pandas	6	L	X	X	BoxScore
48	226	Fighting Pandas	7	Broncos	1	W			BoxScore
49	234	Nordiks	7	Fighting Pandas	6	L			BoxScore
51	249	Barracuda	7	Fighting Pandas	6	L	X		BoxScore
53	260	Fighting Pandas	7	Lions	4	W			BoxScore
55	271	Fighting Pandas	8	Wranglers	2	W			BoxScore
56	278	Admirals	4	Fighting Pandas	3	L			BoxScore
59	293	Firebirds	5	Fighting Pandas	4	L	X		BoxScore
61	305	Fighting Pandas	-	Roadrunners	-
63	315	Wranglers	-	Fighting Pandas	-
66	325	Fighting Pandas	-	Griffins	-
68	337	Lions	-	Fighting Pandas	-
70	348	Fighting Pandas	-	Aces	-
72	358	Fighting Pandas	-	Wombats	-
74	365	Marlies	-	Fighting Pandas	-
76	380	Barons	-	Fighting Pandas	-
78	388	Fighting Pandas	-	Ice Bats	-
80	401	Griffins	-	Fighting Pandas	-
82	412	Fighting Pandas	-	Roadrunners	-
84	424	Canucks	-	Fighting Pandas	-
85	431	Fighting Pandas	-	Quacken	-
88	442	Fighting Pandas	-	Butter Knives	-
90	451	Butter Knives	-	Fighting Pandas	-
92	461	Fighting Pandas	-	Barons	-
95	471	Roadrunners	-	Fighting Pandas	-
97	482	Fighting Pandas	-	Nordiks	-
99	492	Fighting Pandas	-	Admirals	-
100	501	Bruins	-	Fighting Pandas	-
102	512	Fighting Pandas	-	Lynx	-
104	523	Butter Knives	-	Fighting Pandas	-
107	535	Fighting Pandas	-	Admirals	-
108	544	Roadrunners	-	Fighting Pandas	-
110	555	Fighting Pandas	-	Wombats	-
112	567	Broncos	-	Fighting Pandas	-
114	577	Fighting Pandas	-	Broncos	-
116	589	Bruins	-	Fighting Pandas	-
119	598	Fighting Pandas	-	Butter Knives	-
120	608	Americiens	-	Fighting Pandas	-
122	621	Fighting Pandas	-	Lynx	-
124	632	Lynx	-	Fighting Pandas	-
126	643	Fighting Pandas	-	Americiens	-
128	652	Marlies	-	Fighting Pandas	-
130	657	Fighting Pandas	-	Canucks	-
132	673	Quacken	-	Fighting Pandas	-
133	677	Fighting Pandas	-	Tomahawks	-
135	686	Fighting Pandas	-	Americiens	-
136	692	Fighting Pandas	-	Barons	-
138	703	Americiens	-	Fighting Pandas	-
141	719	Fighting Pandas	-	Firebirds	-
143	725	Wombats	-	Fighting Pandas	-
146	743	Aces	-	Fighting Pandas	-
147	748	Fighting Pandas	-	Bruins	-
150	765	Admirals	-	Fighting Pandas	-
154	785	Aces	-	Fighting Pandas	-
158	804	Lynx	-	Fighting Pandas	-
159	809	Fighting Pandas	-	Marlies	-
162	825	Wombats	-	Fighting Pandas	-
164	834	Fighting Pandas	-	Bruins	-
167	846	Fighting Pandas	-	Marlies	-
168	854	Fighting Pandas	-	Firebirds	-
169	858	Ice Bats	-	Fighting Pandas	-
173	875	Broncos	-	Fighting Pandas	-
177	892	Ice Bats	-	Fighting Pandas	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	20
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
27	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
652,304$	1,490,000$	1,490,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,490,000$	488,402$	24	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	121	11,056$	1,337,776$

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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

	Fighting Pandas
	GP: 27 \| W: 14 \| L: 9 \| OTL: 4 \| P: 32 GF: 117 \| GA: 102 \| PP%: 31.37% \| PK%: 83.13% GM : Hunter Jones \| Morale : 50 \| Team Overall : 60 Next Games #305 vs Roadrunners