New York Rangers
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Roadrunners 42-25-7, 91pts	6	FINAL	4	Firebirds 26-46-3, 55pts

Team Stats
L1	Streak	W1
22-14-1	Home Record	13-22-1
20-11-6	Home Record	13-24-2
4-6-0	Last 10 Games	4-6-0
3.82	Goals Per Game	3.93
3.66	Goals Against Per Game	4.75
26.83%	Power Play Percentage	24.38%
76.27%	Penalty Kill Percentage	72.39%

Firebirds
26-46-3, 55pts

FINAL

Lions
33-43-1, 67pts

Team Stats
W1	Streak	W1
13-22-1	Home Record	20-16-0
13-24-2	Home Record	13-27-1
4-6-0	Last 10 Games	4-5-1
3.93	Goals Per Game	4.68
4.75	Goals Against Per Game	5.14
24.38%	Power Play Percentage	22.29%
72.39%	Penalty Kill Percentage	73.81%

Tomahawks
40-30-4, 84pts

Day 160

Firebirds
26-46-3, 55pts

Team Stats
L1	Streak	W1
23-14-0	Home Record	13-22-1
17-16-4	Away Record	13-24-2
3-7-0	Last 10 Games	4-6-0
4.93	Goals Per Game	3.93
4.81	Goals Against Per Game	3.93
22.41%	Power Play Percentage	24.38%
71.94%	Penalty Kill Percentage	72.39%

Firebirds
26-46-3, 55pts

Day 163

Americiens
43-26-3, 89pts

Team Stats
W1	Streak	W2
13-22-1	Home Record	22-13-2
13-24-2	Away Record	21-13-1
4-6-0	Last 10 Games	7-3-0
3.93	Goals Per Game	5.15
4.75	Goals Against Per Game	5.15
24.38%	Power Play Percentage	27.39%
72.39%	Penalty Kill Percentage	72.57%

Roadrunners
42-25-7, 91pts

Day 164

Firebirds
26-46-3, 55pts

Team Stats
L1	Streak	W1
22-14-1	Home Record	13-22-1
20-11-6	Away Record	13-24-2
4-6-0	Last 10 Games	4-6-0
3.82	Goals Per Game	3.93
3.66	Goals Against Per Game	3.93
26.83%	Power Play Percentage	24.38%
76.27%	Penalty Kill Percentage	72.39%

Team Leaders
	Goals Tanner Pearson 23	Assists Nick Blankenburg 33

	Points Michael Bunting 51	Plus/Minus Tony DeAngelo -3

	Wins Georgi Romanov 9	Save Percentage Georgi Romanov 0.844

Team Stats
Goals For 295 3.93 GFG	Shots For 2557 34.09 Avg	Power Play Percentage 24.4% 39 GF	Offensive Zone Start 40.4%
Goals Against 356 4.75 GAA	Shots Against 2573 34.31 Avg	Penalty Kill Percentage 72.4%% 45 GA	Defensive Zone Start 36.9%

Team Info
	General Manager	Ron Giovanni
	Coach	Peter DeBoer
	Division	Metropolitan
	Conference	Eastern Conference
	Captain	Tanner Pearson
	Assistant #1	Nick Blankenburg
	Assistant #2	Danton Heinen
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	20
	Farm Team	19
	Contract Limit	39 / 50
	Prospects	17

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	Eric Robinson		X	X		100.00	76	55	94	67	76	71	91	73	50	66	67	66	51	71	70	0	16	66	0	30	4	500,000$
2	Michael Bunting		X	X		100.00	69	60	68	78	66	77	88	73	50	69	72	55	51	71	70	0	13	66	0	30	1	500,000$
3	Danton Heinen (A)		X	X		100.00	71	59	89	68	70	73	89	70	50	69	61	68	50	71	70	0	27	65	0	30	4	500,000$
4	Tanner Pearson (C)		X			100.00	73	55	95	67	74	70	88	70	50	64	65	63	51	76	72	0	36	65	0	33	2	500,000$
5	Peyton Krebs	X	X	X		100.00	75	64	81	67	66	74	91	69	68	66	60	64	50	60	62	0	38	63	0	25	4	500,000$
6	Thomas Novak	X	X	X		100.00	49	54	96	69	63	72	71	68	58	64	71	57	51	68	68	0	32	62	0	28	2	500,000$
7	Connor Dewar	X	X	X		100.00	82	69	94	64	68	69	67	60	57	62	55	73	50	64	67	0	30	61	0	26	2	500,000$
8	Daniel Sprong			X		100.00	68	54	96	65	69	68	58	63	50	62	50	56	50	67	66	0	30	58	0	28	2	1,500,000$
9	Valtteri Puustinen			X		100.00	58	56	85	62	64	59	52	62	50	53	57	53	51	64	63	0	29	55	0	26	2	500,000$
10	Julien Gauthier			X		100.00	52	35	89	57	81	50	50	50	50	50	50	50	50	64	63	0	41	52	0	28	1	500,000$
11	Damon Severson				X	100.00	65	64	70	64	73	74	84	71	50	66	55	74	61	73	73	0	30	66	0	31	4	500,000$
12	Mario Ferraro				X	100.00	79	67	75	63	74	78	92	67	50	60	53	72	56	68	69	0	17	66	0	27	2	750,000$
13	Nick Blankenburg (A)				X	100.00	66	58	80	70	61	75	77	72	50	66	56	74	56	68	70	0	41	66	0	27	2	500,000$
14	John Marino				X	100.00	54	56	97	63	71	76	64	73	50	72	54	71	55	70	71	0	35	64	0	28	2	750,000$
15	Timothy Liljegren				X	100.00	70	61	72	67	72	75	83	68	50	61	58	63	56	65	65	0	33	64	0	26	2	500,000$
16	Tony DeAngelo				X	100.00	58	57	86	70	63	79	65	75	50	73	58	64	59	71	72	0	27	64	0	30	1	500,000$
17	Noah Juulsen				X	100.00	81	65	80	59	72	68	62	60	50	51	50	71	55	70	71	0	22	62	0	28	1	500,000$
Scratches
1	Josh Mahura				X	100.00	73	58	83	62	69	65	78	65	50	58	50	71	55	67	68	0	20	63	0	27	1	500,000$
2	Elias Pettersson (D) (R)				X	100.00	70	66	81	60	67	62	58	61	50	52	50	64	55	55	59	0	20	58	0	22	3	500,000$

	TEAM AVERAGE					100.00	68	59	85	65	69	70	74	67	52	62	57	65	53	68	68	0	28	62

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	Georgi Romanov (R)	100.00	50	64	60	78	50	46	46	46	46	50	50	62	61	0	6	53	0	26	2	500,000$
Scratches

	TEAM AVERAGE	100.00	50	64	60	78	50	46	46	46	46	50	50	62	61	0	6	53

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Peter DeBoer	80	80	85	80	80	84	1	CAN	55	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Michael Bunting	Firebirds (NYR)	LW/RW	48	19	32	51	-29	24	0	106	103	169	52	117	11.24%	8	1258	26.21	3	6	9	23	69	1	0	1	3	72	0	0	45.84%	962	0	0.81	1	4	0	4	4	3
2	Nick Blankenburg	Firebirds (NYR)	D	48	14	33	47	-29	14	0	44	62	81	29	66	17.28%	74	1054	21.97	8	5	13	36	81	0	1	1	1	73	1	0	0%	0	0	0.89	0	0	0	2	2	2
3	Danton Heinen	Firebirds (NYR)	LW/RW	48	20	24	44	-30	20	0	98	90	169	58	110	11.83%	15	1157	24.11	1	4	5	11	66	1	1	2	1	43	1	0	49.06%	106	1	0.76	3	4	0	1	4	1
4	Eric Robinson	Firebirds (NYR)	LW/RW	48	22	17	39	-27	6	0	90	87	174	65	130	12.64%	9	1078	22.47	2	6	8	28	77	0	1	1	0	80	1	1	46.99%	615	2	0.72	0	4	0	3	1	2
5	Thomas Novak	Firebirds (NYR)	C/LW/RW	48	18	19	37	-28	0	0	6	100	158	36	106	11.39%	4	1106	23.05	1	3	4	8	67	0	0	0	2	31	1	2	53.16%	1362	0	0.67	0	0	0	1	2	3
6	Tanner Pearson	Firebirds (NYR)	LW	48	23	14	37	-21	6	0	65	53	136	49	107	16.91%	18	920	19.18	0	0	0	0	1	1	0	1	3	40	2	1	50.00%	56	0	0.80	0	0	0	4	3	1
7	John Marino	Firebirds (NYR)	D	48	8	26	34	-26	0	0	17	38	57	16	39	14.04%	76	903	18.81	5	6	11	27	71	0	2	2	0	74	0	0	0%	0	0	0.75	0	0	0	2	1	0
8	Tony DeAngelo	Firebirds (NYR)	D	48	4	27	31	-3	2	0	27	42	34	6	20	11.76%	38	664	13.84	0	0	0	0	2	0	0	0	0	16	0	0	26.67%	15	0	0.93	0	0	0	1	1	2
9	Timothy Liljegren	Firebirds (NYR)	D	48	6	20	26	-26	30	0	91	36	47	18	33	12.77%	45	895	18.67	2	5	7	22	71	0	0	0	1	64	0	0	0%	0	0	0.58	0	0	0	0	3	1
10	Daniel Sprong	Firebirds (NYR)	RW	48	5	19	24	-27	10	0	38	41	64	23	57	7.81%	3	976	20.34	0	0	0	0	20	0	0	0	0	3	1	0	53.49%	129	0	0.49	0	0	0	1	0	1
11	Connor Dewar	Firebirds (NYR)	C/LW/RW	48	8	15	23	-24	20	0	95	55	111	32	80	7.21%	16	901	18.77	2	5	7	14	69	0	0	0	0	10	0	1	55.88%	102	0	0.51	0	0	0	1	0	1
12	Mario Ferraro	Firebirds (NYR)	D	48	5	14	19	-29	52	0	114	49	59	13	46	8.47%	71	1050	21.89	2	4	6	28	81	0	0	0	0	58	0	0	50.00%	4	0	0.36	0	0	0	0	3	0
13	Noah Juulsen	Firebirds (NYR)	D	48	1	14	15	-11	10	0	49	20	18	1	14	5.56%	30	508	10.60	0	0	0	0	2	0	0	0	1	51	0	0	50.00%	68	0	0.59	0	0	0	2	0	0
14	Valtteri Puustinen	Firebirds (NYR)	RW	48	6	6	12	-15	2	0	24	21	46	14	34	13.04%	3	709	14.78	0	0	0	1	9	0	0	0	0	0	0	0	55.81%	129	0	0.34	0	0	0	0	0	2
15	Josh Mahura	Firebirds (NYR)	D	22	1	2	3	-6	4	0	33	11	11	1	7	9.09%	23	276	12.55	0	0	0	0	0	0	0	0	0	14	0	0	0%	0	0	0.22	0	0	0	0	0	0
16	Elias Pettersson (D)	Firebirds (NYR)	D	21	0	2	2	-3	5	5	3	10	8	2	3	0%	5	139	6.64	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.29	0	0	1	0	0	1
17	Peyton Krebs	Firebirds (NYR)	C/LW/RW	5	1	0	1	-3	17	5	5	7	8	0	6	12.50%	0	79	15.83	0	0	0	0	7	0	0	0	0	4	0	0	56.47%	85	0	0.25	0	0	1	0	0	0
Team Total or Average				720	161	284	445	-337	222	10	905	825	1350	415	975	11.93%	438	13680	19.00	26	44	70	198	698	3	5	8	12	642	7	5	50.10%	3633	3	0.65	4	12	2	22	24	20

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Georgi Romanov	Firebirds (NYR)	48	9	31	2	0.844	5.18	2397	4	0	207	1323	0	1	4	0.625	8	48	0	0	0	3
Team Total or Average			48	9	31	2	0.844	5.18	2397	4	0	207	1323	0	1	4		8	48	0	0	0	3

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
Connor Dewar	Firebirds (NYR)	C/LW/RW	26	1999-06-26	CAN	No	192 Lbs	5 ft10	No	No	N/A		No	No	2	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Damon Severson	Firebirds (NYR)	D	31	1994-08-07	CAN	No	204 Lbs	6 ft2	No	No	Free Agent	2025-03-08	No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Daniel Sprong	Firebirds (NYR)	RW	28	1997-03-17	NLD	No	195 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,500,000$	150,000$	17,500$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Danton Heinen	Firebirds (NYR)	LW/RW	30	1995-07-05	CAN	No	195 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Elias Pettersson (D)	Firebirds (NYR)	D	22	2004-02-16	SWE	Yes	185 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-08-04	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Eric Robinson	Firebirds (NYR)	LW/RW	30	1995-06-14	USA	No	211 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Georgi Romanov	Firebirds (NYR)	G	26	1999-12-15	RUS	Yes	207 Lbs	6 ft5	No	No	Free Agent		No	No	2	2024-09-11	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
John Marino	Firebirds (NYR)	D	28	1997-05-21	USA	No	200 Lbs	6 ft1	No	No	Trade	2025-07-16	No	No	2	2024-08-19	False	False	Pro & Farm	750,000$	75,000$	8,750$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Mahura	Firebirds (NYR)	D	27	1998-05-05	CAN	No	193 Lbs	6 ft0	No	No	Free Agent		No	No	1	2024-09-09	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Julien Gauthier	Firebirds (NYR)	RW	28	1997-10-15	CAN	No	225 Lbs	6 ft4	No	No	Free Agent		No	No	1	2024-09-09	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mario Ferraro	Firebirds (NYR)	D	27	1998-09-17	CAN	No	209 Lbs	6 ft0	No	No	Trade	2025-06-29	No	No	2		False	False	Pro & Farm	750,000$	75,000$	8,750$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Bunting	Firebirds (NYR)	LW/RW	30	1995-09-17	CAN	No	186 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nick Blankenburg	Firebirds (NYR)	D	27	1998-05-12	USA	No	177 Lbs	5 ft9	No	No	Trade	2025-07-14	No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Noah Juulsen	Firebirds (NYR)	D	28	1997-04-02	CAN	No	201 Lbs	6 ft2	No	No	Free Agent		No	No	1	2024-09-04	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Peyton Krebs	Firebirds (NYR)	C/LW/RW	25	2001-01-26	CAN	No	186 Lbs	6 ft0	No	No	Free Agent	2025-07-16	No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Tanner Pearson	Firebirds (NYR)	LW	33	1992-08-10	CAN	No	207 Lbs	6 ft1	No	No	Trade	2025-07-13	No	No	2	2025-03-28	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Thomas Novak	Firebirds (NYR)	C/LW/RW	28	1997-04-28	USA	No	179 Lbs	6 ft1	No	No	Free Agent		No	No	2	2025-07-28	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Timothy Liljegren	Firebirds (NYR)	D	26	1999-04-30	SWE	No	201 Lbs	6 ft1	No	No	Trade	2025-06-29	No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tony DeAngelo	Firebirds (NYR)	D	30	1995-10-24	USA	No	180 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-07-28	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Valtteri Puustinen	Firebirds (NYR)	RW	26	1999-06-04	FIN	No	182 Lbs	5 ft10	No	No	N/A		No	No	2	2024-08-19	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	27.80	196 Lbs	6 ft1	2.20	575,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Bunting		Eric Robinson	40	1	2	2
2	Danton Heinen	Thomas Novak	Connor Dewar	30	1	2	2
3	Tanner Pearson	Michael Bunting	Daniel Sprong	20	1	2	2
4	Danton Heinen	Eric Robinson	Valtteri Puustinen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mario Ferraro	Nick Blankenburg	40	1	2	2
2	Timothy Liljegren	John Marino	30	1	2	2
3	Tony DeAngelo		20	1	2	2
4	Noah Juulsen		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Bunting		Eric Robinson	60	1	2	2
2	Danton Heinen	Thomas Novak	Connor Dewar	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mario Ferraro	Nick Blankenburg	60	1	2	2
2	Timothy Liljegren	John Marino	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Bunting	Eric Robinson	60	1	2	2
2	Danton Heinen	Tanner Pearson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mario Ferraro	Nick Blankenburg	60	1	2	2
2	Timothy Liljegren	John Marino	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Michael Bunting	60	1	2	2	Mario Ferraro	Nick Blankenburg	60	1	2	2
2	Eric Robinson	40	1	2	2	Timothy Liljegren	John Marino	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Bunting	Eric Robinson	60	1	2	2
2	Danton Heinen	Tanner Pearson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mario Ferraro	Nick Blankenburg	60	1	2	2
2	Timothy Liljegren	John Marino	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Bunting		Eric Robinson	Mario Ferraro	Nick Blankenburg

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Michael Bunting		Eric Robinson	Mario Ferraro	Nick Blankenburg

Extra Forwards
Normal	PowerPlay	Penalty Kill
Daniel Sprong, Valtteri Puustinen,	Daniel Sprong, Valtteri Puustinen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tony DeAngelo, , Noah Juulsen	Tony DeAngelo	, Noah Juulsen

Penalty Shots
Michael Bunting, Eric Robinson, Danton Heinen, Tanner Pearson,

Goalie
#1 : Georgi Romanov, #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	Aces	5	2	3	0	0	0	0	0	20	25	-5	3	2	1	0	0	0	0	0	13	10	3	2	0	2	0	0	0	0	0	7	15	-8	4	0.400	20	38	58	0	1	109	95	84	9	167	821	848	866	34	142	36	35	95	11	2	18.18%	15	4	73.33%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
2	Admirals	6	2	4	0	0	0	0	0	31	29	2	3	1	2	0	0	0	0	0	13	12	1	3	1	2	0	0	0	0	0	18	17	1	4	0.333	31	57	88	0	0	109	95	84	9	194	821	848	866	34	208	57	24	135	10	3	30.00%	12	3	75.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
3	Americiens	3	0	2	0	0	1	0	0	8	13	-5	2	0	1	0	0	1	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0.167	8	13	21	0	0	109	95	84	9	104	821	848	866	34	123	29	36	71	5	0	0.00%	8	2	75.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
4	Barons	3	1	2	0	0	0	0	0	12	15	-3	2	0	2	0	0	0	0	0	8	12	-4	1	1	0	0	0	0	0	0	4	3	1	2	0.333	12	23	35	1	0	109	95	84	9	75	821	848	866	34	99	23	16	62	2	1	50.00%	8	1	87.50%	1	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
5	Barracuda	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	4	7	11	0	0	109	95	84	9	35	821	848	866	34	49	16	4	23	1	0	0.00%	2	1	50.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
6	Broncos	7	3	1	0	1	0	1	1	34	28	6	3	1	0	0	1	0	1	0	15	12	3	4	2	1	0	0	0	0	1	19	16	3	11	0.786	34	58	92	0	0	109	95	84	9	270	821	848	866	34	197	61	38	129	15	3	20.00%	19	2	89.47%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
7	Bruins	6	2	4	0	0	0	0	0	25	27	-2	3	1	2	0	0	0	0	0	10	11	-1	3	1	2	0	0	0	0	0	15	16	-1	4	0.333	25	47	72	0	0	109	95	84	9	237	821	848	866	34	171	38	27	122	22	6	27.27%	9	4	55.56%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
8	Butter Knives	3	2	1	0	0	0	0	0	15	11	4	1	1	0	0	0	0	0	0	5	3	2	2	1	1	0	0	0	0	0	10	8	2	4	0.667	15	25	40	0	0	109	95	84	9	123	821	848	866	34	139	46	4	68	10	3	30.00%	1	0	100.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
9	Canucks	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	10	16	0	0	109	95	84	9	74	821	848	866	34	46	17	10	43	2	1	50.00%	5	2	60.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
10	Fighting Pandas	3	0	2	0	1	0	0	0	9	18	-9	1	0	1	0	0	0	0	0	2	7	-5	2	0	1	0	1	0	0	0	7	11	-4	2	0.333	9	18	27	0	0	109	95	84	9	102	821	848	866	34	108	25	16	57	10	1	10.00%	8	3	62.50%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
11	Griffins	2	0	2	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	5	8	-3	0	0.000	8	15	23	0	0	109	95	84	9	67	821	848	866	34	81	22	12	45	3	0	0.00%	5	1	80.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
12	Ice Bats	2	0	1	0	1	0	0	0	4	8	-4	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	4	8	12	0	0	109	95	84	9	70	821	848	866	34	70	17	8	49	2	0	0.00%	2	0	100.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
13	Lions	3	3	0	0	0	0	0	0	22	14	8	2	2	0	0	0	0	0	0	13	8	5	1	1	0	0	0	0	0	0	9	6	3	6	1.000	22	43	65	0	0	109	95	84	9	140	821	848	866	34	126	35	16	72	9	3	33.33%	6	0	100.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
14	Lynx	4	0	2	0	0	0	1	1	11	18	-7	2	0	2	0	0	0	0	0	4	11	-7	2	0	0	0	0	0	1	1	7	7	0	3	0.375	11	19	30	0	0	109	95	84	9	111	821	848	866	34	105	37	20	75	4	1	25.00%	10	5	50.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
15	Marlies	5	0	4	0	1	0	0	0	14	25	-11	2	0	2	0	0	0	0	0	7	11	-4	3	0	2	0	1	0	0	0	7	14	-7	2	0.200	14	23	37	1	0	109	95	84	9	103	821	848	866	34	170	54	26	99	4	1	25.00%	12	5	58.33%	1	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
16	Nordiks	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	5	9	14	1	0	109	95	84	9	58	821	848	866	34	82	25	6	54	6	3	50.00%	3	1	66.67%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
17	Quacken	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	109	95	84	9	46	821	848	866	34	37	10	2	18	3	1	33.33%	2	1	50.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
18	Roadrunners	6	1	5	0	0	0	0	0	26	33	-7	2	0	2	0	0	0	0	0	9	12	-3	4	1	3	0	0	0	0	0	17	21	-4	2	0.167	26	49	75	1	0	109	95	84	9	203	821	848	866	34	234	60	30	143	16	5	31.25%	15	5	66.67%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
19	Tomahawks	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	4	6	0	0	109	95	84	9	38	821	848	866	34	43	12	2	19	3	1	33.33%	1	1	0.00%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
20	Wombats	6	1	4	0	1	0	0	0	22	31	-9	3	0	2	0	1	0	0	0	9	13	-4	3	1	2	0	0	0	0	0	13	18	-5	4	0.333	22	43	65	1	0	109	95	84	9	236	821	848	866	34	230	73	34	121	12	2	16.67%	17	2	88.24%	1	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
21	Wranglers	3	1	2	0	0	0	0	0	11	13	-2	1	0	1	0	0	0	0	0	2	5	-3	2	1	1	0	0	0	0	0	9	8	1	2	0.333	11	21	32	0	0	109	95	84	9	104	821	848	866	34	113	35	6	63	10	2	20.00%	3	2	33.33%	0	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
	Total	75	19	46	0	5	1	2	2	295	356	-61	36	9	22	0	3	1	1	0	136	159	-23	39	10	24	0	2	0	1	2	159	197	-38	55	0.367	295	542	837	5	1	109	95	84	9	2557	821	848	866	34	2573	728	372	1563	160	39	24.38%	163	45	72.39%	3	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
	_Since Last GM Reset	75	19	46	0	5	1	2	2	295	356	-61	36	9	22	0	3	1	1	0	136	159	-23	39	10	24	0	2	0	1	2	159	197	-38	55	0.367	295	542	837	5	1	109	95	84	9	2557	821	848	866	34	2573	728	372	1563	160	39	24.38%	163	45	72.39%	3	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
	_Vs Conference	49	11	29	0	4	1	2	2	195	233	-38	22	4	14	0	2	1	1	0	80	102	-22	27	7	15	0	2	0	1	2	115	131	-16	37	0.378	195	352	547	3	0	109	95	84	9	1683	821	848	866	34	1685	480	255	1020	108	25	23.15%	111	31	72.07%	2	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474
	_Vs Division	21	7	14	0	2	0	1	1	95	100	-5	10	2	6	0	2	0	1	0	40	41	-1	11	5	8	0	0	0	0	1	55	59	-4	21	0.500	95	173	268	1	0	109	95	84	9	767	821	848	866	34	716	213	108	430	40	8	20.00%	53	8	84.91%	1	1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%	1802	1278	1778	516	952	474

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
75	55	W1	295	542	837	2557	2573	728	372	1563	5	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
75	19	46	5	1	2	2	295	356

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	9	22	3	1	1	0	136	159

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	10	24	2	0	1	2	159	197

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
160	39	24.38%	163	45	72.39%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
821	848	866	34	109	95	84	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1174	2492	47.11%	1057	2273	46.50%	680	1398	48.64%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1802	1278	1778	516	952	474

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	5	Firebirds	3	Roadrunners	5	L			BoxScore
6	20	Wombats	1	Firebirds	2	W	X		BoxScore
8	33	Bruins	4	Firebirds	6	W			BoxScore
10	43	Firebirds	6	Bruins	3	W			BoxScore
12	51	Broncos	4	Firebirds	5	W	X		BoxScore
14	66	Firebirds	4	Marlies	3	W	X		BoxScore
16	75	Admirals	4	Firebirds	8	W			BoxScore
18	89	Roadrunners	6	Firebirds	5	L			BoxScore
19	94	Firebirds	3	Wombats	8	L			BoxScore
20	100	Firebirds	5	Broncos	3	W			BoxScore
23	112	Firebirds	7	Broncos	3	W			BoxScore
26	123	Aces	3	Firebirds	5	W			BoxScore
29	139	Firebirds	7	Admirals	8	L			BoxScore
31	146	Firebirds	6	Roadrunners	7	L			BoxScore
32	153	Wombats	7	Firebirds	5	L			BoxScore
35	169	Firebirds	2	Fighting Pandas	7	L			BoxScore
36	174	Aces	7	Firebirds	4	L			BoxScore
40	189	Lions	4	Firebirds	8	W			BoxScore
43	204	Firebirds	9	Admirals	5	W			BoxScore
45	211	Ice Bats	3	Firebirds	4	W	X		BoxScore
48	225	Firebirds	5	Wombats	4	W			BoxScore
49	235	Bruins	3	Firebirds	1	L			BoxScore
51	247	Firebirds	3	Broncos	5	L			BoxScore
53	257	Quacken	3	Firebirds	6	W			BoxScore
55	272	Aces	0	Firebirds	4	W			BoxScore
57	284	Firebirds	3	Canucks	4	L			BoxScore
59	293	Firebirds	5	Fighting Pandas	4	W	X		BoxScore
61	300	Marlies	7	Firebirds	5	L			BoxScore
64	316	Lions	4	Firebirds	5	W			BoxScore
65	324	Firebirds	1	Barracuda	6	L			BoxScore
68	338	Firebirds	6	Wranglers	2	W			BoxScore
69	344	Americiens	4	Firebirds	1	L			BoxScore
72	356	Firebirds	4	Bruins	6	L			BoxScore
74	366	Broncos	3	Firebirds	4	W			BoxScore
76	379	Firebirds	2	Roadrunners	5	L			BoxScore
77	385	Firebirds	5	Griffins	8	L			BoxScore
79	395	Wombats	5	Firebirds	2	L			BoxScore
81	408	Americiens	6	Firebirds	5	L	X		BoxScore
82	415	Firebirds	1	Marlies	7	L			BoxScore
85	430	Wranglers	5	Firebirds	2	L			BoxScore
87	437	Firebirds	2	Marlies	4	L			BoxScore
89	446	Firebirds	3	Lynx	2	W	X	X	BoxScore
92	457	Barracuda	4	Firebirds	3	L			BoxScore
94	469	Firebirds	3	Wranglers	6	L			BoxScore
96	474	Firebirds	2	Tomahawks	5	L			BoxScore
97	483	Lynx	4	Firebirds	3	L			BoxScore
100	498	Nordiks	4	Firebirds	1	L			BoxScore
102	510	Firebirds	5	Butter Knives	6	L			BoxScore
104	520	Firebirds	3	Aces	6	L			BoxScore
105	525	Bruins	4	Firebirds	3	L			BoxScore
107	541	Marlies	4	Firebirds	2	L			BoxScore
110	554	Firebirds	4	Lynx	5	L	X	X	BoxScore
112	565	Admirals	4	Firebirds	3	L			BoxScore
113	574	Firebirds	5	Wombats	6	L			BoxScore
115	582	Firebirds	6	Roadrunners	4	W			BoxScore
118	593	Firebirds	5	Bruins	7	L			BoxScore
119	597	Admirals	4	Firebirds	2	L			BoxScore
121	614	Lynx	7	Firebirds	1	L			BoxScore
124	630	Firebirds	4	Aces	9	L			BoxScore
125	637	Griffins	4	Firebirds	3	L			BoxScore
128	653	Broncos	5	Firebirds	6	W	X	X	BoxScore
131	662	Firebirds	2	Admirals	4	L			BoxScore
133	676	Barons	6	Firebirds	4	L			BoxScore
135	689	Firebirds	4	Broncos	5	L	X	X	BoxScore
137	697	Barons	6	Firebirds	4	L			BoxScore
139	706	Firebirds	5	Butter Knives	2	W			BoxScore
141	719	Fighting Pandas	7	Firebirds	2	L			BoxScore
142	723	Firebirds	4	Nordiks	6	L			BoxScore
145	734	Firebirds	4	Barons	3	W			BoxScore
147	745	Butter Knives	3	Firebirds	5	W			BoxScore
148	755	Firebirds	0	Ice Bats	5	L			BoxScore
150	766	Canucks	4	Firebirds	3	L			BoxScore
152	775	Firebirds	2	Americiens	3	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155	790	Roadrunners	6	Firebirds	4	L			BoxScore
156	792	Firebirds	9	Lions	6	W			BoxScore
160	813	Tomahawks	-	Firebirds	-
163	826	Firebirds	-	Americiens	-
164	835	Roadrunners	-	Firebirds	-
168	854	Fighting Pandas	-	Firebirds	-
172	869	Firebirds	-	Quacken	-
174	877	Butter Knives	-	Firebirds	-
178	900	Tomahawks	-	Firebirds	-

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
5	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,440,873$	1,150,000$	1,150,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,150,000$	962,475$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	21	9,167$	192,507$

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: 75 \| W: 26 \| L: 46 \| OTL: 3 \| P: 55 GF: 295 \| GA: 356 \| PP%: 24.38% \| PK%: 72.39% GM : Ron Giovanni \| Morale : 19 \| Team Overall : 62 Next Games #813 vs Tomahawks