Kraken


	Wolf Pack 10-7-0, 20pts	5	FINAL	2	Firebirds 11-9-0, 22pts

Team Stats
L1		W1
6-3-0		7-5-0
4-4-0		4-4-0
6-4-0		6-4-0
5.00		4.15
4.24		3.60
33.33%		16.00%
69.23%		90.00%

Admirals
8-12-0, 16pts

FINAL

Firebirds
11-9-0, 22pts

Team Stats
L2		W1
5-5-0		7-5-0
3-7-0		4-4-0
4-6-0		6-4-0
3.85		4.15
4.95		3.60
10.00%		16.00%
63.16%		90.00%

Firebirds
11-9-0, 22pts

2024-11-23

Reign
11-8-1, 23pts


W1		L1
7-5-0		5-3-0
4-4-0		6-5-1
6-4-0		7-3-0
4.15		5.90
3.60		5.90
16.00%		33.33%
90.00%		78.57%

Firebirds
11-9-0, 22pts

2024-11-25

Gulls
11-7-0, 22pts


W1		L4
7-5-0		6-3-0
4-4-0		5-4-0
6-4-0		4-6-0
4.15		5.94
3.60		5.94
16.00%		27.27%
90.00%		73.33%

Gulls
11-7-0, 22pts

2024-11-27

Firebirds
11-9-0, 22pts


L4		W1
6-3-0		7-5-0
5-4-0		4-4-0
4-6-0		6-4-0
5.94		4.15
5.33		4.15
27.27%		16.00%
73.33%		90.00%


	Joakim Kemell 11			Valtteri Puustinen 20

	Valtteri Puustinen 26			Joakim Kemell 8

	Adam Scheel 11			Adam Scheel 0.87


83 4.15 GFG	591 29.55 Avg	16.0% 4 GF	34.9%
72 3.60 GAA	553 27.65 Avg	90.0%% 1 GA	31.2%


		Josh Guertler
		Pacific Division
		Western Conference




		5,000
		5,000
		5,000

		27
		23
		50 / 55
		16

Priority		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

#		#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Alexandre Texier (R)	0	X				100.00	59	53	93	81	83	66	94	85	45	76	72	54	79	85	79	0	50	80	0	23	2	1,525,000$
2	Valtteri Puustinen (R)	0			X		100.00	61	51	98	80	85	51	62	86	40	77	72	57	79	86	79	0	50	80	0	24	2	806,000$
3	Kent Johnson	0	X				100.00	57	51	97	81	84	60	55	85	47	76	73	52	79	85	79	0	50	80	0	20	1	925,000$
4	Jack Studnicka (R)	0	X				100.00	67	52	96	77	80	49	55	82	57	71	71	44	76	82	76	0	50	76	0	24	2	962,000$
5	Joakim Kemell (R)	0			X		100.00	49	37	78	79	79	58	45	85	36	71	71	47	78	25	40	0	50	76	0	19	3	925,000$
6	Colin White	0	X				100.00	62	51	97	77	80	42	55	82	53	71	70	45	76	82	76	0	50	75	0	26	1	4,750,000$
7	Max Willman	0	X				100.00	69	52	96	77	81	37	55	82	46	71	71	44	77	82	77	0	50	75	0	28	1	8,000,000$
8	Kole Lind (R)	0	X	X	X		100.00	47	66	80	74	76	85	98	79	36	62	67	40	73	25	40	0	50	73	0	24	3	892,500$
9	Ben Jones (R)	0	X				100.00	47	66	81	73	76	83	97	78	65	60	67	40	73	25	40	0	50	72	0	24	2	780,000$
10	Arshdeep Bains (R)	0		X			100.00	45	63	83	73	76	78	90	78	36	61	67	40	72	25	40	0	50	72	0	22	1	816,667$
11	Jiri Kulich (R)	0	X				100.00	45	61	83	73	76	73	84	78	65	59	68	40	73	25	40	0	50	71	0	19	3	925,000$
12	Egor Zamula (R)	0				X	100.00	58	52	95	79	83	56	79	87	40	75	70	64	78	87	78	0	50	83	0	23	3	1,768,000$
13	Marco Scandella	0				X	100.00	62	51	96	77	80	53	78	84	40	72	70	69	77	84	77	0	50	82	0	33	1	3,275,000$
14	Ronnie Attard	0				X	100.00	65	52	95	76	83	59	55	86	40	72	71	57	79	86	79	0	50	82	0	24	2	884,000$
15	Urho Vaakanainen	0				X	100.00	59	51	96	78	81	63	82	85	40	73	70	62	78	85	78	0	50	82	0	24	2	962,000$
16	Jacob Bryson	0				X	100.00	58	51	97	78	82	54	55	86	40	74	69	50	77	86	77	0	50	80	0	25	1	1,924,000$
17	Ville Ottavainen (R)	0				X	100.00	45	65	83	72	76	82	95	77	36	59	67	57	72	25	40	0	50	76	0	20	3	867,500$
18	Maxence Guenette (R)	0				X	100.00	45	66	84	72	76	85	98	77	36	60	66	47	72	25	40	0	50	75	0	22	1	813,333$

1	Jon-Randall Avon (R)	0	X	X	X		100.00	45	63	84	71	75	76	88	76	65	57	67	40	71	25	40	0	50	70	0	19	3	800,000$
2	Tyce Thompson (R)	0	X	X	X		100.00	47	58	81	72	75	66	76	76	36	59	66	40	71	25	40	0	50	70	0	23	1	943,500$
3	Keean Washkurak (R)	0	X	X	X		100.00	48	53	79	71	75	58	61	76	65	56	67	40	71	25	40	0	50	68	0	21	1	862,500$
4	Nikita Novikov (R)	0				X	100.00	46	63	82	71	75	76	88	76	36	59	66	53	71	25	40	0	50	74	0	19	3	867,500$
5	Victor Soderstrom (R)	0				X	100.00	46	61	83	72	76	73	84	77	36	59	67	44	72	25	40	0	50	73	0	22	1	925,000$
6	Ryan O'Rourke (R)	0				X	100.00	46	64	82	71	75	79	91	76	36	57	66	40	71	25	40	0	50	72	0	21	1	855,834$

							100.00	53	56	88	75	79	65	76	81	45	66	69	49	75	52	57	0	50	76

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Adam Scheel (R)	0	100.00	75	82	78	75	71	71	74	67	70	74	70	25	55	0	50	84	0	24	2	925,000$
2	Akira Schmid (R)	0	100.00	67	55	53	68	71	68	73	74	64	79	69	27	57	0	50	77	0	23	1	850,833$

1	Hunter Jones (R)	0	100.00	50	55	55	58	63	53	59	50	53	73	56	25	55	0	50	63	0	22	1	787,500$

			100.00	64	64	62	67	68	64	69	64	62	75	65	26	56	0	50	75

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		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	FT	S2	S3
1	Valtteri Puustinen	Firebirds (SEA)	RW	20	6	20	26	7	0	0	38	35	70	21	60	8.57%	7	424	21.23	0	2	2	1	21	0	1	1	1	10	1	1	66.67%	30	41	18	0	0	1.22	0	0	2	1	2
2	Ronnie Attard	Firebirds (SEA)	D	20	8	17	25	-1	0	0	34	32	36	17	19	22.22%	35	470	23.51	1	0	1	1	23	0	1	1	0	11	1	0	0%	0	19	20	0	0	1.06	0	0	2	1	0
3	Alexandre Texier	Firebirds (SEA)	C	20	8	15	23	7	0	0	30	29	55	33	39	14.55%	6	370	18.54	0	1	1	3	24	0	0	0	0	1	2	0	49.33%	223	33	6	0	1	1.24	0	0	1	1	0
4	Joakim Kemell	Firebirds (SEA)	RW	20	11	12	23	8	2	0	24	16	72	23	41	15.28%	7	385	19.28	1	0	1	8	23	0	0	0	0	9	0	0	45.00%	20	35	14	0	0	1.19	0	0	1	0	3
5	Jack Studnicka	Firebirds (SEA)	C	20	8	13	21	1	0	0	50	11	57	16	51	14.04%	7	418	20.92	1	0	1	3	20	0	0	0	0	0	2	0	61.34%	344	40	2	0	0	1.00	0	0	0	2	0
6	Kent Johnson	Firebirds (SEA)	C	20	6	11	17	-5	0	0	23	20	60	20	39	10.00%	7	362	18.15	0	0	0	0	0	0	0	0	0	0	0	0	47.44%	215	24	7	0	1	0.94	0	0	2	1	0
7	Urho Vaakanainen	Firebirds (SEA)	D	20	9	6	15	-1	0	0	21	37	40	17	21	22.50%	39	471	23.56	0	1	1	1	23	1	0	1	2	11	2	0	0%	0	19	24	0	0	0.64	0	0	0	3	0
8	Marco Scandella	Firebirds (SEA)	D	20	5	8	13	6	0	0	16	41	19	7	15	26.32%	25	314	15.75	0	0	0	0	0	0	0	0	0	0	1	0	0%	0	14	15	0	0	0.83	0	0	2	0	2
9	Max Willman	Firebirds (SEA)	C	20	6	5	11	-5	2	0	40	4	41	10	25	14.63%	9	360	18.02	0	0	0	0	0	0	0	0	0	0	0	0	46.67%	15	27	8	0	0	0.61	0	0	1	0	0
10	Egor Zamula	Firebirds (SEA)	D	20	4	7	11	4	0	0	22	48	36	17	18	11.11%	31	379	18.98	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	14	29	1	0	0.58	0	0	0	0	1
11	Ville Ottavainen	Firebirds (SEA)	D	20	2	8	10	4	17	15	7	23	32	9	21	6.25%	16	408	20.42	0	1	1	2	20	0	0	0	0	6	0	0	0%	0	4	18	0	0	0.49	1	2	0	1	0
12	Colin White	Firebirds (SEA)	C	20	2	6	8	-3	0	0	26	14	31	17	20	6.45%	8	362	18.14	0	0	0	0	0	0	0	0	0	0	0	0	27.27%	11	17	4	0	0	0.44	0	0	0	1	0
13	Kole Lind	Firebirds (SEA)	C/LW/RW	20	4	2	6	8	56	20	26	6	17	5	8	23.53%	3	421	21.08	1	0	1	2	21	0	0	0	0	7	1	1	33.33%	15	3	3	0	0	0.28	1	3	0	0	1
14	Arshdeep Bains	Firebirds (SEA)	LW	20	1	4	5	1	2	0	23	10	9	6	9	11.11%	2	387	19.38	0	0	0	0	24	0	0	0	0	8	1	0	14.29%	7	1	1	0	0	0.26	0	0	0	0	0
15	Maxence Guenette	Firebirds (SEA)	D	20	2	3	5	4	7	5	13	11	10	4	4	20.00%	16	354	17.74	0	1	1	0	21	0	0	0	0	4	0	1	0%	0	3	8	0	0	0.28	0	1	0	0	1
16	Jacob Bryson	Firebirds (SEA)	D	20	1	1	2	1	0	0	1	0	5	1	3	20.00%	0	24	1.22	0	0	0	0	1	0	0	0	0	2	0	0	0%	0	0	0	0	0	1.64	0	0	0	0	0
17	Jiri Kulich	Firebirds (SEA)	C	20	0	1	1	0	0	0	2	1	1	0	0	0%	0	5	0.29	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	3.45	0	0	0	0	0
18	Ben Jones	Firebirds (SEA)	C	20	0	0	0	3	0	0	4	2	0	0	1	0%	0	56	2.80	0	0	0	0	0	0	0	0	0	0	0	0	70.00%	10	0	0	0	0	0	0	0	0	0	0
				360	83	139	222	39	86	40	400	340	591	223	394	14.04%	218	5980	16.61	4	6	10	21	225	1	2	3	3	76	11	3	53.36%	892	294	177	1	2	0.74	2	6	11	11	10

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Adam Scheel	Firebirds (SEA)	20	11	9	0	0.870	3.61	1198	4	0	72	553	307	2	0	0	0	20	0	0	0	1
			20	11	9	0	0.870	3.61	1198	4	0	72	553	307	2	0		0	20	0	0	0	1

Priority		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	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 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 Scheel	Firebirds (SEA)	G	24	1999-05-01	USA	Yes	192 Lbs	6 ft3	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	925,000$	698,469$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Akira Schmid	Firebirds (SEA)	G	23	2000-05-12	CHE	Yes	205 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	850,833$	642,466$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alexandre Texier	Firebirds (SEA)	C	23	1999-09-13	FRA	Yes	186 Lbs	6 ft1	No	No	Prospect	No	Yes	2	2024-07-02	False	False	Pro & Farm	1,525,000$	1,151,531$	0$	0$	No	1,525,000$	Restricted		-	-	-	-	1,525,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Arshdeep Bains	Firebirds (SEA)	LW	22	2001-01-09	CAN	Yes	184 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	816,667$	616,667$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben Jones	Firebirds (SEA)	C	24	1999-02-26	CAN	Yes	187 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	780,000$	588,980$	0$	0$	No	780,000$	Restricted		-	-	-	-	780,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Colin White (1 Way Contract)	Firebirds (SEA)	C	26	1997-01-30	USA	No	194 Lbs	6 ft1	No	No	N/A	No	Yes	1		False	False	Pro & Farm	4,750,000$	3,586,735$	2,737,245$	3,625,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Egor Zamula (1 Way Contract)	Firebirds (SEA)	D	23	2000-03-30	RUS	Yes	177 Lbs	6 ft3	No	No	Free Agent	No	Yes	3	2024-08-05	False	False	Pro & Farm	1,768,000$	1,335,020$	485,531$	643,000$	No	1,768,000$	1,768,000$	Restricted	-	-	-	-	1,768,000$	1,768,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Hunter Jones	Firebirds (SEA)	G	22	2000-09-21	CAN	Yes	194 Lbs	6 ft4	No	No	Prospect	No	No	1	2024-07-02	False	False	Pro & Farm	787,500$	594,643$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Studnicka	Firebirds (SEA)	C	24	1999-02-18	CAN	Yes	187 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	962,000$	726,408$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Bryson (1 Way Contract)	Firebirds (SEA)	D	25	1997-11-18	CAN	No	176 Lbs	5 ft9	No	No	N/A	No	Yes	1		False	False	Pro & Farm	1,924,000$	1,452,816$	603,327$	799,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jiri Kulich	Firebirds (SEA)	C	19	2004-04-14	CZE	Yes	186 Lbs	6 ft1	No	No	N/A	No	No	3		False	False	Pro & Farm	925,000$	698,469$	0$	0$	No	925,000$	925,000$	Restricted	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joakim Kemell	Firebirds (SEA)	RW	19	2004-04-27	FIN	Yes	185 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Farm Only	925,000$	698,469$	0$	0$	No	925,000$	925,000$	Restricted	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jon-Randall Avon	Firebirds (SEA)	C/LW/RW	19	2003-07-04	CAN	Yes	174 Lbs	6 ft0	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	800,000$	604,082$	0$	0$	No	800,000$	800,000$	Restricted	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Keean Washkurak	Firebirds (SEA)	C/LW/RW	21	2001-08-16	CAN	Yes	190 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	862,500$	651,276$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kent Johnson	Firebirds (SEA)	C	20	2002-10-18	CAN	No	175 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	698,469$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kole Lind	Firebirds (SEA)	C/LW/RW	24	1998-10-16	CAN	Yes	193 Lbs	6 ft1	No	No	N/A	No	No	3		False	False	Pro & Farm	892,500$	673,929$	0$	0$	No	892,500$	892,500$	Restricted	-	-	-	-	892,500$	892,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Marco Scandella (1 Way Contract)	Firebirds (SEA)	D	33	1990-02-23	CAN	No	212 Lbs	6 ft3	No	No	N/A	No	Yes	1		False	False	Pro & Farm	3,275,000$	2,472,959$	1,623,469$	2,150,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Max Willman (1 Way Contract)	Firebirds (SEA)	C	28	1995-02-13	USA	No	184 Lbs	6 ft0	No	No	Free Agent	No	Yes	1	2024-09-26	False	False	Pro & Farm	8,000,000$	6,040,816$	5,191,327$	6,875,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Maxence Guenette	Firebirds (SEA)	D	22	2001-04-28	CAN	Yes	181 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	813,333$	614,149$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Novikov	Firebirds (SEA)	D	19	2003-07-25	RUS	Yes	209 Lbs	6 ft4	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	867,500$	655,051$	0$	0$	No	867,500$	867,500$	Restricted	-	-	-	-	867,500$	867,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ronnie Attard	Firebirds (SEA)	D	24	1999-03-20	USA	No	208 Lbs	6 ft3	No	No	Free Agent	No	No	2	2024-08-05	False	False	Pro & Farm	884,000$	667,510$	0$	0$	No	884,000$	Restricted		-	-	-	-	884,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan O'Rourke	Firebirds (SEA)	D	21	2002-05-16	CAN	Yes	179 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	855,834$	646,242$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyce Thompson	Firebirds (SEA)	C/LW/RW	23	1999-07-12	CAN	Yes	175 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	943,500$	712,439$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Urho Vaakanainen	Firebirds (SEA)	D	24	1999-01-01	FIN	No	200 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	962,000$	726,408$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Valtteri Puustinen	Firebirds (SEA)	RW	24	1999-06-04	FIN	Yes	183 Lbs	5 ft9	No	No	Free Agent	No	No	2	2024-08-05	False	False	Pro & Farm	806,000$	608,612$	0$	0$	No	806,000$	Restricted		-	-	-	-	806,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Victor Soderstrom	Firebirds (SEA)	D	22	2001-02-26	SWE	Yes	184 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	698,469$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ville Ottavainen	Firebirds (SEA)	D	20	2002-08-12	FIN	Yes	216 Lbs	6 ft5	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	867,500$	655,051$	0$	0$	No	867,500$	867,500$	Restricted	-	-	-	-	867,500$	867,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link


27	22.89	189 Lbs	6 ft1	1.78	1,467,358$



1	Kole Lind	Alexandre Texier	Valtteri Puustinen	30	1	2	2
2	Arshdeep Bains	Jack Studnicka	Joakim Kemell	30	1	2	2
3	Max Willman	Kent Johnson	Colin White	20	1	2	2
4	Kole Lind	Jack Studnicka	Valtteri Puustinen	20	1	2	2



1	Ronnie Attard	Urho Vaakanainen	30	1	2	2
2	Egor Zamula	Ville Ottavainen	30	1	2	2
3	Maxence Guenette	Marco Scandella	20	1	2	2
4	Ronnie Attard	Urho Vaakanainen	20	1	2	2



1	Kole Lind	Jack Studnicka	Valtteri Puustinen	50	1	2	2
2	Arshdeep Bains	Alexandre Texier	Joakim Kemell	50	1	2	2



1	Ronnie Attard	Urho Vaakanainen	50	1	2	2
2	Maxence Guenette	Ville Ottavainen	50	1	2	2



1	Valtteri Puustinen	Kole Lind	50	1	2	2
2	Joakim Kemell	Arshdeep Bains	50	1	2	2



1	Ronnie Attard	Urho Vaakanainen	50	1	2	2
2	Maxence Guenette	Ville Ottavainen	50	1	2	2



1	Kole Lind	50	1	2	2	Ronnie Attard	Urho Vaakanainen	50	1	2	2
2	Valtteri Puustinen	50	1	2	2	Marco Scandella	Ville Ottavainen	50	1	2	2



1	Joakim Kemell	Kole Lind	50	1	2	2
2	Valtteri Puustinen	Arshdeep Bains	50	1	2	2



1	Ronnie Attard	Urho Vaakanainen	50	1	2	2
2	Egor Zamula	Ville Ottavainen	50	1	2	2



Kole Lind	Alexandre Texier	Valtteri Puustinen	Ronnie Attard	Urho Vaakanainen



Kole Lind	Alexandre Texier	Valtteri Puustinen	Ronnie Attard	Urho Vaakanainen



Joakim Kemell, Jack Studnicka, Kole Lind	Joakim Kemell, Jack Studnicka	Joakim Kemell



Ville Ottavainen, Maxence Guenette, Urho Vaakanainen	Ville Ottavainen	Ville Ottavainen, Maxence Guenette


Kole Lind, Arshdeep Bains, Valtteri Puustinen, Kent Johnson, Joakim Kemell


#1 : Adam Scheel, #2 : Akira Schmid


Alexandre Texier, Max Willman, Valtteri Puustinen, Kent Johnson, Joakim Kemell, Jack Studnicka, Jack Studnicka, Kole Lind, Arshdeep Bains, Ben Jones, Jiri Kulich


Ronnie Attard, Urho Vaakanainen, Egor Zamula, Ville Ottavainen, Maxence Guenette

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	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	19	29	0	0	36	19	28	0	52	172	211	208	0	53	17	5	44	1	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
2	Bruins	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	9	15	0	0	36	19	28	0	32	172	211	208	0	30	13	5	22	0	0	0%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
3	Eagles	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	6	10	0	0	36	19	28	0	52	172	211	208	0	55	17	31	39	1	0	0.00%	3	0	100.00%	1	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
4	IceHogs	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	3	6	0	0	36	19	28	0	25	172	211	208	0	28	15	5	19	3	1	33.33%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
5	Islanders	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	36	19	28	0	32	172	211	208	0	25	11	2	18	3	1	33.33%	1	0	100.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
6	Marlies	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	36	19	28	0	27	172	211	208	0	25	5	2	22	2	1	50.00%	1	0	100.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
7	Monsters	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	12	20	0	0	36	19	28	0	40	172	211	208	0	28	7	0	21	1	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
8	Moose	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	36	19	28	0	24	172	211	208	0	39	17	0	19	0	0	0%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
9	Phantoms	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	36	19	28	0	36	172	211	208	0	24	14	2	26	2	0	0.00%	1	1	0.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
10	Rocket	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	36	19	28	0	18	172	211	208	0	32	18	5	26	2	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
11	Senators	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	7	12	0	0	36	19	28	0	26	172	211	208	0	28	12	17	21	0	0	0%	1	0	100.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
12	Silver Knights	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	36	19	28	0	28	172	211	208	0	27	9	5	20	0	0	0%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
13	Stars	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	36	19	28	0	38	172	211	208	0	25	6	4	19	2	1	50.00%	2	0	100.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
14	Thunderbirds	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	36	19	28	0	38	172	211	208	0	28	13	5	14	0	0	0%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
15	Wild	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	5	8	0	0	36	19	28	0	35	172	211	208	0	32	15	0	15	1	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
16	Wolf Pack	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	36	19	28	0	31	172	211	208	0	26	9	2	14	1	0	0.00%	1	0	100.00%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
17	Wolves	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	36	19	28	0	31	172	211	208	0	27	8	0	25	5	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
18	Wranglers	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	36	19	28	0	26	172	211	208	0	21	12	0	16	1	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
	Total	20	11	9	0	0	0	0	0	83	72	11	12	7	5	0	0	0	0	0	51	43	8	8	4	4	0	0	0	0	0	32	29	3	22	0.550	83	139	222	0	0	36	19	28	0	591	172	211	208	0	553	218	90	400	25	4	16.00%	10	1	90.00%	1	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
	_Since Last GM Reset	20	11	9	0	0	0	0	0	83	72	11	12	7	5	0	0	0	0	0	51	43	8	8	4	4	0	0	0	0	0	32	29	3	22	0.550	83	139	222	0	0	36	19	28	0	591	172	211	208	0	553	218	90	400	25	4	16.00%	10	1	90.00%	1	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
	_Vs Conference	11	6	5	0	0	0	0	0	46	38	8	7	4	3	0	0	0	0	0	30	24	6	4	2	2	0	0	0	0	0	16	14	2	12	0.545	46	78	124	0	0	36	19	28	0	318	172	211	208	0	308	121	55	205	9	2	22.22%	5	0	100.00%	1	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174
	_Vs Division	2	2	0	0	0	0	0	0	11	2	9	2	2	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	4	1.000	11	19	30	0	0	36	19	28	0	54	172	211	208	0	48	21	5	36	1	0	0.00%	0	0	0%	0	158	311	50.80%	155	278	55.76%	163	303	53.80%	458	294	401	153	339	174

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
20	22	W1	83	139	222	591	553	218	90	400	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	11	9	0	0	0	0	83	72

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	51	43

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	32	29

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
25	4	16.00%	10	1	90.00%	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
172	211	208	0	36	19	28	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
158	311	50.80%	155	278	55.76%	163	303	53.80%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
458	294	401	153	339	174

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	Score	Home	Score	ST	Link
5 - 2024-10-08	3	Thunderbirds	4	Firebirds	7	W	BoxScore
9 - 2024-10-12	33	Firebirds	3	Wild	6	L	BoxScore
10 - 2024-10-13	39	Firebirds	5	Stars	3	W	BoxScore
12 - 2024-10-15	53	Firebirds	5	Admirals	1	W	BoxScore
14 - 2024-10-17	71	Phantoms	5	Firebirds	2	L	BoxScore
16 - 2024-10-19	87	Wranglers	1	Firebirds	6	W	BoxScore
19 - 2024-10-22	106	Eagles	4	Firebirds	1	L	BoxScore
21 - 2024-10-24	116	Moose	7	Firebirds	3	L	BoxScore
23 - 2024-10-26	135	Wolves	3	Firebirds	5	W	BoxScore
26 - 2024-10-29	149	Firebirds	3	Rocket	7	L	BoxScore
28 - 2024-10-31	161	Firebirds	2	Marlies	5	L	BoxScore
30 - 2024-11-02	178	Firebirds	5	Senators	2	W	BoxScore
31 - 2024-11-03	187	Firebirds	6	Bruins	1	W	BoxScore
33 - 2024-11-05	202	Firebirds	3	Eagles	4	L	BoxScore
36 - 2024-11-08	223	Silver Knights	1	Firebirds	5	W	BoxScore
40 - 2024-11-12	251	Monsters	4	Firebirds	8	W	BoxScore
42 - 2024-11-14	266	IceHogs	4	Firebirds	3	L	BoxScore
44 - 2024-11-16	273	Islanders	2	Firebirds	4	W	BoxScore
45 - 2024-11-17	287	Wolf Pack	5	Firebirds	2	L	BoxScore
48 - 2024-11-20	304	Admirals	3	Firebirds	5	W	BoxScore
51 - 2024-11-23	320	Firebirds	-	Reign	-
53 - 2024-11-25	343	Firebirds	-	Gulls	-
55 - 2024-11-27	360	Gulls	-	Firebirds	-
57 - 2024-11-29	371	Firebirds	-	Barracuda	-
58 - 2024-11-30	387	Barracuda	-	Firebirds	-
61 - 2024-12-03	401	Firebirds	-	Wolves	-
63 - 2024-12-05	416	Firebirds	-	Islanders	-
64 - 2024-12-06	420	Firebirds	-	Comets	-
66 - 2024-12-08	436	Firebirds	-	Wolf Pack	-
68 - 2024-12-10	456	Checkers	-	Firebirds	-
70 - 2024-12-12	472	Bruins	-	Firebirds	-
72 - 2024-12-14	488	Crunch	-	Firebirds	-
75 - 2024-12-17	505	Senators	-	Firebirds	-
77 - 2024-12-19	516	Firebirds	-	IceHogs	-
79 - 2024-12-21	538	Firebirds	-	Silver Knights	-
80 - 2024-12-22	543	Firebirds	-	Eagles	-
86 - 2024-12-28	567	Firebirds	-	Canucks	-
88 - 2024-12-30	588	Roadrunners	-	Firebirds	-
91 - 2025-01-02	613	Canucks	-	Firebirds	-
93 - 2025-01-04	631	Condors	-	Firebirds	-
95 - 2025-01-06	640	Comets	-	Firebirds	-
98 - 2025-01-09	660	Firebirds	-	Monsters	-
100 - 2025-01-11	670	Firebirds	-	Americans	-
101 - 2025-01-12	684	Firebirds	-	Griffins	-
103 - 2025-01-14	696	Firebirds	-	Penguins	-
105 - 2025-01-16	716	Firebirds	-	Moose	-
107 - 2025-01-18	736	Reign	-	Firebirds	-
109 - 2025-01-20	742	Americans	-	Firebirds	-
112 - 2025-01-23	770	Bears	-	Firebirds	-
114 - 2025-01-25	778	Penguins	-	Firebirds	-
116 - 2025-01-27	797	Firebirds	-	Condors	-
117 - 2025-01-28	806	Gulls	-	Firebirds	-
119 - 2025-01-30	821	Barracuda	-	Firebirds	-
122 - 2025-02-02	843	Wranglers	-	Firebirds	-
124 - 2025-02-04	857	Griffins	-	Firebirds	-
126 - 2025-02-06	869	Marlies	-	Firebirds	-
128 - 2025-02-08	887	Firebirds	-	Wranglers	-
142 - 2025-02-22	896	Firebirds	-	Checkers	-
143 - 2025-02-23	909	Firebirds	-	Crunch	-
145 - 2025-02-25	926	Firebirds	-	Thunderbirds	-
149 - 2025-03-01	960	Canucks	-	Firebirds	-
152 - 2025-03-04	982	Wild	-	Firebirds	-
154 - 2025-03-06	993	Firebirds	-	Admirals	-
156 - 2025-03-08	1004	Firebirds	-	Phantoms	-
157 - 2025-03-09	1014	Firebirds	-	Bears	-
160 - 2025-03-12	1039	Rocket	-	Firebirds	-
162 - 2025-03-14	1054	Roadrunners	-	Firebirds	-
164 - 2025-03-16	1072	Moose	-	Firebirds	-
166 - 2025-03-18	1084	Firebirds	-	IceHogs	-
167 - 2025-03-19	1088	Firebirds	-	Wild	-
170 - 2025-03-22	1116	Firebirds	-	Condors	-
173 - 2025-03-25	1137	Firebirds	-	Wranglers	-
175 - 2025-03-27	1151	Condors	-	Firebirds	-
177 - 2025-03-29	1169	Stars	-	Firebirds	-
179 - 2025-03-31	1181	Stars	-	Firebirds	-
181 - 2025-04-02	1196	Firebirds	-	Canucks	-
184 - 2025-04-05	1221	Firebirds	-	Barracuda	-
186 - 2025-04-07	1233	Firebirds	-	Reign	-
187 - 2025-04-08	1243	Firebirds	-	Roadrunners	-
189 - 2025-04-10	1258	Firebirds	-	Silver Knights	-
191 - 2025-04-12	1275	Thunderbirds	-	Firebirds	-
194 - 2025-04-15	1300	Reign	-	Firebirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	10	5
Attendance	42,000	18,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
29	5000 - 100.00%	21,675$	260,100$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
4,873,872$	19,901,668$	19,901,668$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
101,539$	4,873,872$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
628,575$	148	101,539$	15,027,772$

Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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

	Firebirds
	GP: 20 \| W: 11 \| L: 9 \| OTL: 0 \| P: 22 GF: 83 \| GA: 72 \| PP%: 16.00% \| PK%: 90.00% Josh Guertler \| 50 \| 76 #320 vs Reign