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

Game Center
	Sound Tigers 28-35-9, 65pts	1	FINAL	4	Thunderbirds 30-34-7, 67pts

Team Stats
L1	Streak	W2
14-18-4	Home Record	17-17-2
14-17-5	Home Record	13-17-5
4-6-0	Last 10 Games	5-4-1
3.10	Goals Per Game	3.01
3.38	Goals Against Per Game	3.45
22.14%	Power Play Percentage	20.00%
80.00%	Penalty Kill Percentage	82.41%

Thunderbirds
30-34-7, 67pts

FINAL

Stars
40-29-2, 82pts

Team Stats
W2	Streak	L2
17-17-2	Home Record	22-14-0
13-17-5	Home Record	18-15-2
5-4-1	Last 10 Games	5-5-0
3.01	Goals Per Game	2.99
3.45	Goals Against Per Game	2.72
20.00%	Power Play Percentage	22.26%
82.41%	Penalty Kill Percentage	83.06%

Crunch
44-21-6, 94pts

Day 162

Thunderbirds
30-34-7, 67pts

Team Stats
W1	Streak	W2
24-9-3	Home Record	17-17-2
20-12-3	Away Record	13-17-5
7-2-1	Last 10 Games	5-4-1
3.44	Goals Per Game	3.01
2.94	Goals Against Per Game	3.01
21.26%	Power Play Percentage	20.00%
78.23%	Penalty Kill Percentage	82.41%

Thunderbirds
30-34-7, 67pts

Day 164

Americans
33-31-8, 74pts

Team Stats
W2	Streak	OTL1
17-17-2	Home Record	17-14-5
13-17-5	Away Record	16-17-3
5-4-1	Last 10 Games	3-4-3
3.01	Goals Per Game	3.13
3.45	Goals Against Per Game	3.13
20.00%	Power Play Percentage	20.00%
82.41%	Penalty Kill Percentage	78.06%

Thunderbirds
30-34-7, 67pts

Day 166

Bears
36-32-6, 78pts

Team Stats
W2	Streak	L3
17-17-2	Home Record	16-16-4
13-17-5	Away Record	20-16-2
5-4-1	Last 10 Games	5-5-0
3.01	Goals Per Game	3.36
3.45	Goals Against Per Game	3.36
20.00%	Power Play Percentage	21.05%
82.41%	Penalty Kill Percentage	78.97%

Team Leaders
	Goals Alexander Nylander 23	Assists Peyton Krebs 37

	Points Peyton Krebs 57	Plus/Minus Oskar Lindblom 6

	Wins Yaniv Perets 22	Save Percentage Yaniv Perets 0.891

Team Stats
Goals For 214 3.01 GFG	Shots For 2145 30.21 Avg	Power Play Percentage 20.0% 57 GF	Offensive Zone Start 40.6%
Goals Against 245 3.45 GAA	Shots Against 2160 30.42 Avg	Penalty Kill Percentage 82.4%% 54 GA	Defensive Zone Start 40.0%

Team Info
	General Manager	Christian Bernard
	Coach	Todd Reirden
	Division	North
	Conference	Canadian
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,999
	Season Tickets	0
Roster Info
	Pro Team	20
	Farm Team	20
	Contract Limit	40 / 250
	Prospects	0

Show or Hide Columns

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Adam Gaudette	X				100.00	56	66	66	67	68	69	67	67	56	62	69	66	57	66	59	0	50	66	0	28	1	1,000,000$
2	Peyton Krebs	X	X			100.00	73	65	78	70	71	66	89	60	71	65	62	72	54	60	58	0	50	66	0	24	2	2,000,000$
3	Alexander Nylander		X	X		100.00	61	48	76	69	72	69	61	61	56	63	61	63	55	61	59	0	50	64	0	27	3	1,500,000$
4	Liam Foudy	X	X			100.00	62	49	82	67	72	62	65	58	61	63	60	68	56	58	57	0	50	63	0	25	1	1,000,000$
5	Rasmus Asplund	X				100.00	60	51	75	63	67	67	69	61	67	66	58	68	54	63	58	0	50	63	0	27	1	1,200,000$
6	Oskar Lindblom		X	X		100.00	61	51	75	60	72	64	71	58	56	61	59	65	55	66	60	0	50	62	0	28	1	2,000,000$
7	Ivan Ivan	X				100.00	52	51	66	58	63	66	63	57	52	56	55	62	57	52	50	0	50	58	0	22	2	1,500,000$
8	Logan Nijhoff		X			100.00	56	54	67	56	65	60	59	55	55	54	55	59	54	56	54	0	50	57	0	23	2	1,000,000$
9	Kevin O'Neil			X		100.00	54	54	69	54	62	55	55	54	55	54	54	59	56	62	57	0	50	56	0	27	1	750,000$
10	Reece Vitelli			X		100.00	58	54	69	54	61	56	55	54	55	54	54	59	54	56	54	0	50	56	0	23	2	750,000$
11	Tate Singleton			X		100.00	56	52	65	52	56	53	53	52	52	52	51	58	51	59	54	0	50	54	0	26	1	750,000$
12	Ian Mitchell				X	100.00	59	50	74	64	70	68	63	58	41	64	56	68	55	60	58	0	50	63	0	26	2	1,200,000$
13	Mark Friedman				X	100.00	65	65	81	59	71	64	61	54	41	59	55	73	55	60	59	0	50	62	0	29	2	1,250,000$
14	Xavier Ouellet				X	100.00	55	54	67	61	66	66	64	58	40	59	55	65	54	70	62	0	50	61	0	31	1	750,000$
15	Maksymilian Szuber				X	100.00	54	54	64	58	70	67	65	58	39	58	54	65	52	53	51	0	50	59	0	22	2	1,500,000$
16	Uvis Balinskis				X	100.00	58	48	72	58	68	63	58	54	39	57	54	67	52	59	57	0	50	59	0	28	2	1,250,000$
Scratches
1	Nathan Todd	X				100.00	54	55	68	63	68	65	63	62	60	61	60	64	54	67	60	0	50	62	0	29	1	800,000$
2	Cole Clayton				X	100.00	55	55	67	58	71	66	64	57	40	57	56	63	54	58	55	0	50	60	0	25	2	1,500,000$

	TEAM AVERAGE					100.00	58	54	71	61	67	64	64	58	52	59	57	65	54	60	57	0	50	61

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	Yaniv Perets	100.00	69	52	52	71	57	75	55	68	80	55	53	52	52	0	50	64	0	25	1	1,500,000$
2	Georgi Romanov	100.00	58	61	61	68	62	54	65	63	60	60	59	57	52	0	50	61	0	25	1	1,000,000$
Scratches

	TEAM AVERAGE	100.00	64	57	57	70	60	65	60	66	70	58	56	55	52	0	50	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Reirden	75	72	73	71	61	56	1	USA	52	3	250,000$

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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Peyton Krebs	Thunderbirds (STL)	C/LW	71	20	37	57	-7	63	5	183	141	224	71	199	8.93%	22	1554	21.90	3	18	21	48	237	1	0	1	4	267	3	0	55.51%	236	1	1	0.73	4	7	0	0	1	3	1	5
2	Alexander Nylander	Thunderbirds (STL)	LW/RW	71	23	32	55	-3	42	0	112	134	209	57	153	11.00%	8	1296	18.26	6	13	19	45	228	0	0	0	9	161	4	0	52.04%	98	0	0	0.85	1	3	0	0	0	2	4	3
3	Adam Gaudette	Thunderbirds (STL)	C	71	22	33	55	-4	22	10	83	223	238	62	179	9.24%	11	1575	22.20	5	9	14	55	238	0	0	0	4	294	4	1	46.43%	2210	0	0	0.70	0	7	1	1	0	3	3	3
4	Ian Mitchell	Thunderbirds (STL)	D	71	9	31	40	-18	58	0	156	88	110	35	67	8.18%	83	1682	23.69	5	15	20	66	237	1	1	2	1	230	1	2	0%	0	0	0	0.48	0	0	0	0	0	2	1	3
5	Maksymilian Szuber	Thunderbirds (STL)	D	71	2	32	34	0	58	10	120	51	46	19	41	4.35%	73	1150	16.20	0	3	3	4	30	0	0	0	1	110	0	0	0%	2	0	0	0.59	0	0	1	0	1	0	1	1
6	Mark Friedman	Thunderbirds (STL)	D	71	8	25	33	-16	71	5	145	97	95	33	68	8.42%	78	1459	20.56	5	7	12	49	215	0	0	0	0	199	0	1	0%	0	0	0	0.45	0	0	0	1	0	2	0	1
7	Liam Foudy	Thunderbirds (STL)	C/LW	71	8	21	29	-11	43	5	56	106	128	43	121	6.25%	14	936	13.19	0	4	4	9	36	0	1	1	2	90	2	0	42.22%	90	0	0	0.62	0	0	0	0	0	1	0	1
8	Uvis Balinskis	Thunderbirds (STL)	D	71	7	22	29	-1	52	0	126	74	44	11	39	15.91%	66	1064	14.99	1	0	1	5	12	0	0	0	0	32	0	0	0%	0	0	0	0.54	0	0	0	0	0	0	3	1
9	Xavier Ouellet	Thunderbirds (STL)	D	71	5	23	28	-17	53	5	107	69	88	34	59	5.68%	74	1506	21.22	2	10	12	45	218	0	1	1	3	225	1	0	30.00%	10	0	0	0.37	0	0	0	0	1	1	0	1
10	Rasmus Asplund	Thunderbirds (STL)	C	71	16	9	25	-6	30	0	74	140	132	35	84	12.12%	4	807	11.38	0	1	1	1	2	0	0	0	0	15	1	2	52.26%	863	0	0	0.62	0	0	0	0	0	0	1	2
11	Oskar Lindblom	Thunderbirds (STL)	LW/RW	70	6	14	20	6	20	0	64	56	105	29	64	5.71%	10	751	10.73	0	0	0	1	6	0	0	0	0	27	0	1	60.00%	40	0	0	0.53	0	0	0	0	0	0	2	0
12	Cole Clayton	Thunderbirds (STL)	D	47	4	12	16	2	30	0	88	31	26	10	10	15.38%	52	807	17.19	0	0	0	1	12	0	0	0	1	116	0	0	0%	0	0	0	0.40	0	0	0	0	0	1	0	0
13	Ivan Ivan	Thunderbirds (STL)	C	71	5	10	15	-22	18	0	40	83	74	14	63	6.76%	5	593	8.36	0	0	0	0	2	0	0	0	1	4	0	0	43.91%	624	0	0	0.51	0	0	0	0	0	0	1	0
14	Logan Nijhoff	Thunderbirds (STL)	LW	71	10	4	14	-19	12	0	55	45	73	23	53	13.70%	6	614	8.65	0	0	0	0	7	1	0	1	1	17	2	0	39.13%	46	0	0	0.46	0	0	0	0	0	1	0	0
15	Kevin O'Neil	Thunderbirds (STL)	RW	69	7	7	14	-2	23	5	74	47	75	23	40	9.33%	5	1054	15.28	3	1	4	18	213	0	0	0	0	0	1	0	42.68%	82	0	0	0.27	0	0	0	0	1	0	1	1
16	Nathan Todd	Thunderbirds (STL)	C	52	4	6	10	-10	8	0	36	115	61	28	67	6.56%	12	649	12.50	0	0	0	1	2	0	1	1	4	194	1	0	50.59%	939	0	0	0.31	0	0	0	0	0	0	0	1
17	Tate Singleton	Thunderbirds (STL)	RW	69	5	4	9	-22	26	0	64	29	45	16	35	11.11%	5	574	8.33	0	0	0	0	0	0	0	0	0	0	2	1	38.46%	39	0	0	0.31	0	0	0	0	0	0	1	0
18	Reece Vitelli	Thunderbirds (STL)	RW	69	2	4	6	-8	18	0	73	35	41	6	34	4.88%	1	815	11.82	0	0	0	3	15	0	0	0	0	0	0	0	38.36%	73	0	0	0.15	0	0	0	0	0	0	0	0
Team Total or Average				1228	163	326	489	-158	647	45	1656	1564	1814	549	1376	8.99%	529	18894	15.39	30	81	111	351	1717	3	4	7	31	1988	22	8	48.00%	5352	1	1	0.52	5	17	2	2	4	16	19	23

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Yaniv Perets	Thunderbirds (STL)	58	22	26	4	0.891	3.29	3170	2	2	174	1597	0	0.818	22	53	18	3	3	0
2	Georgi Romanov	Thunderbirds (STL)	24	8	8	3	0.879	3.60	1135	0	0	68	562	1	0.667	3	18	53	1	1	1
Team Total or Average			82	30	34	7	0.888	3.37	4306	2	2	242	2159	1		25	71	71	4	4	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
Adam Gaudette	Thunderbirds (STL)	C	28	1996-10-03	USA	No	194 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Nylander	Thunderbirds (STL)	LW/RW	27	1998-03-02	CAN	No	191 Lbs	6 ft0	No	No	Free Agent		No	No	3	2024-07-26	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cole Clayton	Thunderbirds (STL)	D	25	2000-02-29	CAN	No	209 Lbs	6 ft2	No	No	Trade	2025-03-08	No	No	2	2024-07-26	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Georgi Romanov	Thunderbirds (STL)	G	25	1999-12-15	RUS	No	207 Lbs	6 ft5	No	No	Free Agent		No	No	1	2024-08-26	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ian Mitchell	Thunderbirds (STL)	D	26	1999-01-18	CAN	No	191 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ivan Ivan	Thunderbirds (STL)	C	22	2002-08-20	CZE	No	189 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-07-27	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kevin O'Neil	Thunderbirds (STL)	RW	27	1998-02-23	USA	No	180 Lbs	5 ft11	No	No	Free Agent		No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Liam Foudy	Thunderbirds (STL)	C/LW	25	2000-02-04	CAN	No	193 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Logan Nijhoff	Thunderbirds (STL)	LW	23	2001-06-23	CAN	No	187 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-07-27	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Maksymilian Szuber	Thunderbirds (STL)	D	22	2002-08-25	POL	No	189 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mark Friedman	Thunderbirds (STL)	D	29	1995-12-25	CAN	No	184 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nathan Todd	Thunderbirds (STL)	C	29	1995-12-02	CAN	No	200 Lbs	6 ft1	No	No	Trade	2025-03-08	No	No	1	2024-09-14	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oskar Lindblom	Thunderbirds (STL)	LW/RW	28	1996-08-15	SWE	No	191 Lbs	6 ft0	No	No	Trade	2025-03-08	No	No	1		False	False	Pro & Farm	2,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Peyton Krebs	Thunderbirds (STL)	C/LW	24	2001-01-26	CAN	No	184 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Rasmus Asplund	Thunderbirds (STL)	C	27	1997-12-03	SWE	No	189 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	1,200,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Reece Vitelli	Thunderbirds (STL)	RW	23	2001-07-05	CAN	No	180 Lbs	5 ft11	No	No	Free Agent		No	No	2	2024-10-07	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tate Singleton	Thunderbirds (STL)	RW	26	1998-09-05	USA	No	176 Lbs	5 ft9	No	No	Free Agent		No	No	1	2024-10-02	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Uvis Balinskis	Thunderbirds (STL)	D	28	1996-08-01	LAT	No	195 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-07-27	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Xavier Ouellet	Thunderbirds (STL)	D	31	1993-07-29	CAN	No	196 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Yaniv Perets	Thunderbirds (STL)	G	25	2000-03-04	CAN	No	180 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-08-26	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	26.00	190 Lbs	6 ft0	1.55	1,210,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Nylander	Peyton Krebs	Kevin O'Neil	40	0	2	3
2	Liam Foudy	Adam Gaudette	Reece Vitelli	30	0	3	2
3	Oskar Lindblom	Rasmus Asplund	Tate Singleton	20	1	2	2
4	Logan Nijhoff	Ivan Ivan	Kevin O'Neil	10	2	2	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Mitchell	Mark Friedman	40	0	4	1
2	Xavier Ouellet	Maksymilian Szuber	30	0	4	1
3	Uvis Balinskis	Ian Mitchell	20	1	4	0
4	Mark Friedman	Xavier Ouellet	10	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Nylander	Peyton Krebs	Kevin O'Neil	60	0	0	5
2	Liam Foudy	Adam Gaudette	Reece Vitelli	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Mitchell	Mark Friedman	60	0	0	5
2	Xavier Ouellet	Maksymilian Szuber	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Peyton Krebs	Alexander Nylander	60	1	2	2
2	Adam Gaudette	Liam Foudy	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Mitchell	Mark Friedman	60	1	2	2
2	Xavier Ouellet	Maksymilian Szuber	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Peyton Krebs	60	1	2	2	Ian Mitchell	Mark Friedman	60	1	2	2
2	Adam Gaudette	40	1	2	2	Xavier Ouellet	Maksymilian Szuber	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Peyton Krebs	Alexander Nylander	60	1	2	2
2	Adam Gaudette	Liam Foudy	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Mitchell	Mark Friedman	60	1	2	2
2	Xavier Ouellet	Maksymilian Szuber	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Nylander	Peyton Krebs	Kevin O'Neil	Ian Mitchell	Mark Friedman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Nylander	Peyton Krebs	Kevin O'Neil	Ian Mitchell	Mark Friedman

Extra Forwards
Normal	PowerPlay	Penalty Kill
Rasmus Asplund, Oskar Lindblom, Ivan Ivan	Rasmus Asplund, Oskar Lindblom	Rasmus Asplund

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Xavier Ouellet, Maksymilian Szuber, Uvis Balinskis	Xavier Ouellet	Xavier Ouellet, Maksymilian Szuber

Penalty Shots
Peyton Krebs, Adam Gaudette, Alexander Nylander, Liam Foudy, Rasmus Asplund

Goalie
#1 : Yaniv Perets, #2 : Georgi Romanov

Custom OT Lines Forwards
Peyton Krebs, Adam Gaudette, Alexander Nylander, Liam Foudy, Rasmus Asplund, Oskar Lindblom, Ivan Ivan, Logan Nijhoff, Kevin O'Neil, Reece Vitelli

Custom OT Lines Defensemen
Ian Mitchell, Mark Friedman, Xavier Ouellet, Maksymilian Szuber, Uvis Balinskis

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	2	0	0	0	0	0	2	0	10	8	2	2	0	0	0	0	0	2	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	15	25	0	0	71	69	64	13	63	712	686	713	58	66	19	20	55	11	6	54.55%	9	3	66.67%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
2	Admirals	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	71	69	64	13	29	712	686	713	58	39	9	10	29	2	1	50.00%	5	1	80.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
3	Americans	4	0	3	0	0	1	0	0	8	13	-5	3	0	3	0	0	0	0	0	7	11	-4	1	0	0	0	0	1	0	0	1	2	-1	1	0.125	8	14	22	0	0	71	69	64	13	136	712	686	713	58	101	26	44	80	20	3	15.00%	22	2	90.91%	1	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
4	Barracuda	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	9	14	0	0	71	69	64	13	34	712	686	713	58	44	10	18	26	4	2	50.00%	9	2	77.78%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
5	Bears	2	1	1	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	9	14	0	0	71	69	64	13	62	712	686	713	58	55	14	14	48	4	0	0.00%	7	3	57.14%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
6	Bruins	2	0	1	0	0	0	0	1	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	4	8	12	0	0	71	69	64	13	56	712	686	713	58	66	13	26	48	8	1	12.50%	12	1	91.67%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
7	Crunch	4	0	4	0	0	0	0	0	9	18	-9	1	0	1	0	0	0	0	0	1	3	-2	3	0	3	0	0	0	0	0	8	15	-7	0	0.000	9	16	25	0	0	71	69	64	13	101	712	686	713	58	122	45	53	113	20	4	20.00%	23	6	73.91%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
8	Devils	5	0	4	0	0	1	0	0	13	24	-11	2	0	2	0	0	0	0	0	6	11	-5	3	0	2	0	0	1	0	0	7	13	-6	1	0.100	13	23	36	0	0	71	69	64	13	149	712	686	713	58	145	44	49	129	17	3	17.65%	21	8	61.90%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
9	Falcons	2	0	2	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	7	9	-2	0	0.000	9	18	27	1	0	71	69	64	13	64	712	686	713	58	72	9	18	39	13	2	15.38%	9	4	55.56%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
10	Firebirds	2	0	2	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	71	69	64	13	45	712	686	713	58	56	20	35	60	4	0	0.00%	11	2	81.82%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
11	Griffins	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	71	69	64	13	27	712	686	713	58	42	7	14	22	2	0	0.00%	7	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
12	Gulls	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	71	69	64	13	33	712	686	713	58	23	3	0	23	8	1	12.50%	0	0	0%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
13	Heat	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	71	69	64	13	25	712	686	713	58	32	4	6	18	2	0	0.00%	2	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
14	Ice Hogs	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	0	71	69	64	13	30	712	686	713	58	33	8	6	29	3	1	33.33%	3	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
15	Marlies	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	71	69	64	13	28	712	686	713	58	32	14	8	33	3	1	33.33%	4	1	75.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
16	Monsters	2	1	0	0	0	0	1	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	9	15	24	0	0	71	69	64	13	81	712	686	713	58	53	12	16	61	7	2	28.57%	7	2	71.43%	1	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
17	Moose	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	71	69	64	13	39	712	686	713	58	41	8	14	21	8	2	25.00%	7	1	85.71%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
18	Oil Kings	5	3	0	0	1	1	0	0	18	11	7	2	1	0	0	1	0	0	0	7	5	2	3	2	0	0	0	1	0	0	11	6	5	9	0.900	18	33	51	0	0	71	69	64	13	142	712	686	713	58	137	33	42	102	18	3	16.67%	21	1	95.24%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
19	Penguins	2	0	0	0	2	0	0	0	6	4	2	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	4	3	1	4	1.000	6	11	17	0	0	71	69	64	13	59	712	686	713	58	55	19	17	42	5	0	0.00%	5	1	80.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
20	Phantoms	2	1	0	0	0	0	0	1	7	5	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	7	12	19	0	0	71	69	64	13	51	712	686	713	58	61	19	18	51	6	3	50.00%	9	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
21	Rampage	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	71	69	64	13	34	712	686	713	58	31	12	12	31	4	1	25.00%	6	1	83.33%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
22	Reign	2	0	2	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	7	-3	0	0.000	4	6	10	0	0	71	69	64	13	43	712	686	713	58	78	16	58	43	6	1	16.67%	12	1	91.67%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
23	Rocket	3	1	1	0	0	1	0	0	11	11	0	3	1	1	0	0	1	0	0	11	11	0	0	0	0	0	0	0	0	0	0	0	0	3	0.500	11	20	31	0	0	71	69	64	13	92	712	686	713	58	92	35	26	81	9	2	22.22%	13	2	84.62%	1	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
24	Senators	3	1	1	0	0	0	1	0	12	16	-4	1	1	0	0	0	0	0	0	4	3	1	2	0	1	0	0	0	1	0	8	13	-5	4	0.667	12	19	31	0	0	71	69	64	13	106	712	686	713	58	87	24	20	73	11	2	18.18%	8	1	87.50%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
25	Sound Tigers	4	2	1	0	0	0	1	0	12	7	5	2	1	1	0	0	0	0	0	5	3	2	2	1	0	0	0	0	1	0	7	4	3	6	0.750	12	18	30	0	0	71	69	64	13	137	712	686	713	58	115	29	28	107	24	4	16.67%	14	2	85.71%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
26	Stars	6	3	3	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	7	11	-4	3	2	1	0	0	0	0	0	12	9	3	6	0.500	19	36	55	0	0	71	69	64	13	184	712	686	713	58	176	45	48	172	28	4	14.29%	23	5	78.26%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
27	Swamp Rabbits	5	1	3	0	1	0	0	0	16	19	-3	3	1	1	0	1	0	0	0	12	13	-1	2	0	2	0	0	0	0	0	4	6	-2	4	0.400	16	30	46	0	0	71	69	64	13	143	712	686	713	58	156	46	49	147	19	3	15.79%	22	3	86.36%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
28	Wheat Kings	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	71	69	64	13	30	712	686	713	58	29	3	2	23	6	1	16.67%	1	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
29	Wild	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	71	69	64	13	27	712	686	713	58	45	17	12	22	2	0	0.00%	5	1	80.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
30	Wolfpack	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	1	71	69	64	13	70	712	686	713	58	49	13	10	39	8	2	25.00%	5	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
31	Wolves	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	71	69	64	13	25	712	686	713	58	27	10	10	25	3	2	66.67%	5	0	100.00%	0	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
	Total	71	20	34	0	5	5	5	2	214	245	-31	36	11	17	0	4	2	2	0	104	121	-17	35	9	17	0	1	3	3	2	110	124	-14	67	0.472	214	382	596	1	2	71	69	64	13	2145	712	686	713	58	2160	586	703	1792	285	57	20.00%	307	54	82.41%	3	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
	_Since Last GM Reset	71	20	34	0	5	5	5	2	214	245	-31	36	11	17	0	4	2	2	0	104	121	-17	35	9	17	0	1	3	3	2	110	124	-14	67	0.472	214	382	596	1	2	71	69	64	13	2145	712	686	713	58	2160	586	703	1792	285	57	20.00%	307	54	82.41%	3	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
	_Vs Conference	53	15	26	0	4	4	2	2	155	188	-33	28	9	15	0	3	1	0	0	76	95	-19	25	6	11	0	1	3	2	2	79	93	-14	48	0.453	155	278	433	1	1	71	69	64	13	1597	712	686	713	58	1545	434	497	1331	214	36	16.82%	225	41	81.78%	2	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473
	_Vs Division	24	9	19	0	2	4	1	0	72	75	-3	13	5	10	0	2	1	0	0	40	40	0	11	4	9	0	0	3	1	0	32	35	-3	28	0.583	72	126	198	0	1	71	69	64	13	752	712	686	713	58	689	196	201	624	90	17	18.89%	90	19	78.89%	1	1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%	1712	1149	1657	549	943	473

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
71	67	W2	214	382	596	2145	2160	586	703	1792	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
71	20	34	5	5	5	2	214	245

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	11	17	4	2	2	0	104	121

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	9	17	1	3	3	2	110	124

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
285	57	20.00%	307	54	82.41%	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
712	686	713	58	71	69	64	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1206	2421	49.81%	1161	2388	48.62%	574	1154	49.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1712	1149	1657	549	943	473

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
1	4	Thunderbirds	5	Oil Kings	1	W			BoxScore
3	20	Americans	2	Thunderbirds	1	L			BoxScore
6	40	Stars	5	Thunderbirds	0	L			BoxScore
7	51	Thunderbirds	4	Crunch	5	L			BoxScore
10	73	Thunderbirds	3	Stars	4	L			BoxScore
12	85	Thunderbirds	0	Devils	2	L			BoxScore
14	96	Swamp Rabbits	5	Thunderbirds	2	L			BoxScore
17	119	Rocket	2	Thunderbirds	5	W			BoxScore
19	132	Thunderbirds	3	Crunch	5	L			BoxScore
21	147	Senators	3	Thunderbirds	4	W			BoxScore
23	158	Thunderbirds	1	Oil Kings	2	L	X		BoxScore
26	183	Thunderbirds	3	Reign	5	L			BoxScore
27	191	Stars	4	Thunderbirds	1	L			BoxScore
30	213	Rocket	6	Thunderbirds	5	L	X		BoxScore
34	239	Aces	3	Thunderbirds	4	W	X	X	BoxScore
36	254	Thunderbirds	2	Wild	3	L			BoxScore
37	264	Thunderbirds	5	Ice Hogs	4	W			BoxScore
39	277	Rocket	3	Thunderbirds	1	L			BoxScore
42	301	Swamp Rabbits	1	Thunderbirds	2	W			BoxScore
44	310	Thunderbirds	4	Penguins	3	W	X		BoxScore
46	327	Thunderbirds	3	Bruins	4	L	X	X	BoxScore
48	338	Thunderbirds	2	Wheat Kings	3	L			BoxScore
49	348	Wolfpack	0	Thunderbirds	2	W			BoxScore
52	367	Thunderbirds	1	Crunch	5	L			BoxScore
54	379	Monsters	3	Thunderbirds	4	W			BoxScore
56	396	Thunderbirds	2	Wolfpack	1	W			BoxScore
58	410	Bears	2	Thunderbirds	3	W			BoxScore
60	425	Thunderbirds	3	Sound Tigers	1	W			BoxScore
62	441	Crunch	3	Thunderbirds	1	L			BoxScore
64	455	Thunderbirds	5	Devils	6	L	X		BoxScore
67	475	Penguins	1	Thunderbirds	2	W	X		BoxScore
70	499	Admirals	6	Thunderbirds	4	L			BoxScore
73	522	Moose	4	Thunderbirds	5	W	X		BoxScore
75	535	Thunderbirds	3	Phantoms	4	L	X	X	BoxScore
78	555	Griffins	1	Thunderbirds	3	W			BoxScore
80	570	Thunderbirds	5	Barracuda	6	L			BoxScore
82	588	Gulls	3	Thunderbirds	2	L	X		BoxScore
84	604	Thunderbirds	1	Marlies	2	L			BoxScore
86	617	Bears	6	Thunderbirds	2	L			BoxScore
88	628	Thunderbirds	2	Firebirds	4	L			BoxScore
92	654	Firebirds	6	Thunderbirds	0	L			BoxScore
95	677	Thunderbirds	3	Wolves	0	W			BoxScore
97	686	Falcons	4	Thunderbirds	2	L			BoxScore
99	704	Thunderbirds	2	Swamp Rabbits	3	L			BoxScore
101	715	Oil Kings	2	Thunderbirds	3	W	X		BoxScore
104	736	Thunderbirds	2	Swamp Rabbits	3	L			BoxScore
105	748	Phantoms	1	Thunderbirds	4	W			BoxScore
108	771	Thunderbirds	2	Devils	5	L			BoxScore
110	781	Heat	1	Thunderbirds	0	L			BoxScore
112	803	Thunderbirds	2	Senators	8	L			BoxScore
114	813	Oil Kings	3	Thunderbirds	4	W			BoxScore
116	828	Thunderbirds	5	Oil Kings	3	W			BoxScore
118	842	Thunderbirds	4	Sound Tigers	3	W	X	X	BoxScore
119	851	Americans	5	Thunderbirds	3	L			BoxScore
122	872	Thunderbirds	5	Monsters	4	W	X	X	BoxScore
124	887	Sound Tigers	2	Thunderbirds	1	L			BoxScore
126	902	Thunderbirds	6	Senators	5	W	X	X	BoxScore
127	913	Thunderbirds	7	Falcons	9	L			BoxScore
128	923	Swamp Rabbits	7	Thunderbirds	8	W	X		BoxScore
132	949	Americans	4	Thunderbirds	3	L			BoxScore
135	971	Stars	2	Thunderbirds	6	W			BoxScore
138	994	Thunderbirds	5	Stars	4	W			BoxScore
140	1007	Devils	5	Thunderbirds	3	L			BoxScore
142	1020	Thunderbirds	1	Reign	2	L			BoxScore
145	1037	Bruins	4	Thunderbirds	1	L			BoxScore
148	1061	Devils	6	Thunderbirds	3	L			BoxScore
152	1090	Aces	5	Thunderbirds	6	W	X	X	BoxScore
153	1093	Thunderbirds	4	Rampage	2	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
154	1106	Thunderbirds	1	Americans	2	L	X		BoxScore
157	1129	Sound Tigers	1	Thunderbirds	4	W			BoxScore
158	1135	Thunderbirds	4	Stars	1	W			BoxScore
162	1157	Crunch	-	Thunderbirds	-
164	1173	Thunderbirds	-	Americans	-
166	1183	Thunderbirds	-	Bears	-
167	1189	Thunderbirds	-	Rocket	-
170	1210	Senators	-	Thunderbirds	-
171	1218	Thunderbirds	-	Rocket	-
175	1241	Senators	-	Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	71,969	36,000
Attendance PCT	99.96%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
3	2999 - 99.97%	118,958$	4,282,481$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,334,141$	2,420,000$	2,420,000$	250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
13,672$	2,106,800$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
356,873$	16	15,085$	241,360$

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

	Thunderbirds
	GP: 71 \| W: 30 \| L: 34 \| OTL: 7 \| P: 67 GF: 214 \| GA: 245 \| PP%: 20.00% \| PK%: 82.41% GM : Christian Bernard \| Morale : 50 \| Team Overall : 61 Next Games #1157 vs Crunch