Tampa Bay
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Marlies 42-32-8, 92pts	5	FINAL	0	Thunder 39-39-4, 82pts

Team Stats
SOL1	Streak	L2
23-15-3	Home Record	20-18-3
19-17-5	Away Record	19-21-1
5-4-1	Last 10 Games	3-7-0
3.48	Goals Per Game	3.20
3.32	Goals Against Per Game	3.21
19.83%	Power Play Percentage	21.91%
79.86%	Penalty Kill Percentage	84.25%

Cougars
47-29-6, 100pts

FINAL

Thunder
39-39-4, 82pts

Team Stats
W1	Streak	L2
20-18-3	Home Record	20-18-3
27-11-3	Away Record	19-21-1
6-4-0	Last 10 Games	3-7-0
4.11	Goals Per Game	3.20
3.66	Goals Against Per Game	3.21
20.08%	Power Play Percentage	21.91%
72.16%	Penalty Kill Percentage	84.25%

Team Leaders
	Goals Chris Wagner 43	Assists Urho Vaakanainen 56

	Points Chris Wagner 79	Plus/Minus Jacob Larsson 13

	Wins Calvin Pickard 27	Save Percentage Olivier Rodrigue 0.95

Team Stats
Goals For 262 3.20 GFG	Shots For 2883 35.16 Avg	Power Play Percentage 21.9% 55 GF	Offensive Zone Start 40.0%
Goals Against 263 3.21 GAA	Shots Against 2851 34.77 Avg	Penalty Kill Percentage 84.2%% 43 GA	Defensive Zone Start 40.7%

Team Info
	General Manager	Jean-Francois Lemelin
	Division	Est
	Conference	Est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,858
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 50
	Prospects	20

Show or Hide Column

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 Average
1	Jayson Megna	X		X		100.00	79	44	93	74	72	57	65	58	67	62	55	77	25	61	61	0	50	62	0	31	4	560,000$
2	Chris Wagner		X	X		100.00	74	71	82	77	71	73	78	59	50	49	60	69	57	67	69	0	50	62	0	30	4	1,000,000$
3	Curtis McKenzie		X			100.00	74	76	69	68	76	65	66	63	50	59	60	68	57	60	61	0	50	61	0	30	4	560,000$
4	Jack Drury (R)	X				100.00	67	63	75	71	63	62	62	63	79	62	60	60	57	44	44	0	50	59	0	21	3	925,000$
5	Adam Beckman (R)		X			100.00	74	69	87	68	69	64	66	59	50	58	56	63	53	44	44	0	50	58	0	20	2	925,000$
6	Gabriel Fortier (R)	X	X			100.00	89	45	87	66	62	54	82	62	25	50	59	61	25	44	44	0	50	57	0	21	3	791,667$
7	Ilya Nikolaev (R)	X				100.00	48	43	99	68	69	73	95	55	62	54	46	46	48	54	54	0	50	56	0	20	4	700,000$
8	Ethan Keppen (R)		X			100.00	81	78	88	63	78	38	37	44	50	38	44	63	42	44	44	0	50	50	0	20	3	560,000$
9	Artur Kayumov (R)		X	X		100.00	37	45	45	45	53	34	34	37	45	36	36	45	41	32	30	0	50	39	0	23	1	750,000$
10	Tobias Bjornfot				X	100.00	73	43	96	74	73	71	78	57	25	49	47	76	25	57	57	0	50	64	0	20	2	925,000$
11	Urho Vaakanainen				X	100.00	73	43	89	78	69	78	63	60	25	55	47	77	25	48	48	0	50	64	0	22	1	925,000$
12	Jacob Larsson				X	100.00	74	72	79	77	72	72	79	50	25	42	40	65	38	63	63	0	50	62	0	24	1	1,000,000$
13	Anthony Bitetto				X	100.00	78	80	72	70	80	54	56	51	25	40	43	68	41	64	65	0	50	60	0	31	1	770,000$
14	Nikita Nesterov				X	100.00	72	43	83	69	69	63	67	54	25	46	44	69	24	47	47	0	50	59	0	28	1	700,000$
15	Jett Woo (R)				X	100.00	75	74	77	58	74	54	56	47	25	37	41	60	39	44	44	0	50	54	0	21	3	860,833$
16	Ole Bjorgvik Holm (R)				X	100.00	72	72	84	60	72	53	56	47	25	40	38	61	38	44	44	0	50	54	0	19	4	845,333$
17	Jackson Lacombe (R)				X	100.00	51	47	99	63	74	59	79	42	25	47	29	47	30	54	54	0	50	53	0	20	4	825,000$
18	Maxwell Crozier (R)				X	100.00	49	45	99	64	71	55	72	41	25	40	34	46	36	58	58	0	50	52	0	21	4	560,000$
Scratches
1	Ryan O'Rourke (R)				X	100.00	67	69	74	59	69	58	63	45	25	35	37	57	37	44	44	0	50	53	0	19	2	886,667$
2	Filip Johansson (R)				X	100.00	47	43	90	63	67	57	80	37	25	27	38	45	42	50	50	0	50	50	0	21	3	895,000$
3	Antti Tuomisto (R)				X	100.00	53	51	99	59	78	52	75	31	25	30	27	45	28	54	54	0	50	49	0	20	4	825,000$

	TEAM AVERAGE					100.00	67	58	84	66	71	59	67	51	37	46	45	60	38	51	51	0	50	56

Show or Hide Column

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 Average
1	Calvin Pickard	100.00	58	44	55	78	64	60	56	63	62	61	30	58	58	0	50	60	0	29	1	915,000$
2	Jake Kielly (R)	100.00	46	50	62	78	43	45	49	50	44	45	29	44	41	0	50	50	0	25	3	700,000$
Scratches
1	Olivier Rodrigue (R)	100.00	46	44	55	63	46	46	50	53	48	48	30	44	44	0	50	49	0	21	3	795,000$
2	John Lethemon (R)	100.00	44	40	50	79	45	44	45	49	45	45	45	44	44	0	50	48	0	25	4	825,000$
3	Samuel Ersson (R)	100.00	44	40	50	68	45	44	45	49	45	45	45	44	44	0	50	47	0	21	3	859,167$

	TEAM AVERAGE	100.00	48	44	54	73	49	48	49	53	49	49	36	47	46	0	50	51

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

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	Chris Wagner	Thunder (Tam)	LW/RW	82	43	36	79	1	39	5	207	198	421	114	297	10.21%	25	1857	22.65	13	6	19	89	218	1	0	1	5	257	4	4	47.86%	140	0	2	0.85	1	6	0	1	0	8	3	7
2	Jayson Megna	Thunder (Tam)	C/RW	82	24	53	77	-7	34	0	163	319	310	98	273	7.74%	40	1854	22.61	3	22	25	46	204	0	2	2	5	225	3	2	53.40%	2528	1	0	0.83	3	6	0	0	0	2	8	2
3	Jack Drury	Thunder (Tam)	C	82	32	45	77	0	26	0	72	249	318	93	260	10.06%	11	1651	20.15	7	11	18	53	197	0	0	0	3	132	7	0	57.65%	1901	0	0	0.93	0	1	0	0	0	6	1	5
4	Urho Vaakanainen	Thunder (Tam)	D	79	16	56	72	-14	64	0	194	172	193	69	124	8.29%	145	1852	23.45	5	14	19	85	199	1	1	2	2	186	2	1	0.00%	0	0	0	0.78	0	0	0	0	0	2	6	6
5	Curtis McKenzie	Thunder (Tam)	LW	82	34	37	71	-2	39	5	194	187	412	106	279	8.25%	28	1640	20.01	6	7	13	83	198	0	1	1	2	121	5	5	48.19%	249	0	0	0.87	1	5	0	0	1	6	9	2
6	Adam Beckman	Thunder (Tam)	LW	82	34	30	64	-4	18	0	69	153	262	70	183	12.98%	14	1396	17.03	5	1	6	13	44	0	0	0	2	51	2	2	42.11%	114	0	0	0.92	0	1	0	0	0	4	3	2
7	Gabriel Fortier	Thunder (Tam)	C/LW	82	23	32	55	-7	71	5	202	159	257	67	172	8.95%	11	1337	16.31	0	1	1	4	20	0	0	0	1	42	7	1	27.08%	1536	0	0	0.82	0	0	0	0	0	4	0	6
8	Jacob Larsson	Thunder (Tam)	D	82	15	36	51	13	46	0	111	72	122	36	75	12.30%	88	1686	20.57	6	8	14	56	202	0	0	0	2	197	3	0	100.00%	1	0	0	0.60	0	0	0	0	0	1	2	3
9	Anthony Bitetto	Thunder (Tam)	D	82	11	35	46	13	103	35	193	61	134	38	66	8.21%	108	1635	19.94	6	11	17	57	190	0	0	0	1	186	1	0	100.00%	1	0	0	0.56	0	0	0	2	5	1	2	6
10	Nikita Nesterov	Thunder (Tam)	D	82	5	32	37	-6	28	0	98	97	114	38	88	4.39%	107	1463	17.84	2	8	10	44	182	0	0	0	5	199	1	0	0.00%	0	0	0	0.51	0	0	0	0	0	0	2	0
11	Ilya Nikolaev	Thunder (Tam)	C	82	4	18	22	-9	0	0	3	75	103	30	73	3.88%	5	1765	21.54	0	7	7	11	213	0	0	0	1	84	0	0	54.07%	307	0	0	0.25	0	0	0	0	0	0	0	1
12	Ethan Keppen	Thunder (Tam)	LW	82	4	16	20	-6	57	15	100	40	73	15	65	5.48%	14	1454	17.74	1	0	1	12	156	0	0	0	0	17	1	0	47.58%	124	0	0	0.27	0	0	2	0	1	1	0	0
13	Tobias Bjornfot	Thunder (Tam)	D	81	6	11	17	-3	10	0	34	31	54	13	31	11.11%	51	543	6.70	1	5	6	20	51	1	0	1	2	94	0	1	100.00%	1	0	0	0.63	0	0	0	0	0	0	1	1
14	Jett Woo	Thunder (Tam)	D	82	1	12	13	-3	55	15	148	34	32	15	22	3.13%	60	1199	14.63	0	0	0	0	0	0	0	0	0	84	0	0	0.00%	0	0	0	0.22	0	0	2	1	0	0	0	0
15	Ole Bjorgvik Holm	Thunder (Tam)	D	69	4	8	12	-13	69	25	62	36	54	15	38	7.41%	25	1097	15.90	0	0	0	0	0	0	0	0	0	0	0	1	33.33%	51	0	0	0.22	0	0	2	0	3	0	1	0
16	Jackson Lacombe	Thunder (Tam)	D	82	3	7	10	-21	4	0	16	11	12	3	9	25.00%	46	1230	15.00	0	0	0	2	23	0	0	0	0	0	0	0	0.00%	1	0	0	0.16	0	0	0	0	0	0	0	1
17	Artur Kayumov	Thunder (Tam)	LW/RW	82	0	2	2	0	8	0	6	1	5	1	1	0.00%	0	428	5.22	0	1	1	0	35	0	0	0	0	10	0	0	21.88%	32	0	0	0.09	0	0	0	0	0	0	0	0
18	Ryan O'Rourke	Thunder (Tam)	D	42	0	1	1	-3	8	0	23	5	3	0	0	0.00%	8	96	2.29	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.21	0	0	0	0	0	0	0	0
19	Filip Johansson	Thunder (Tam)	D	4	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	1	0.29	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
20	Maxwell Crozier	Thunder (Tam)	D	19	0	0	0	0	0	0	0	1	0	0	0	0.00%	1	8	0.45	0	0	0	0	3	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
Team Total or Average				1442	259	467	726	-71	679	105	1895	1901	2879	821	2056	9.00%	788	24200	16.78	55	102	157	575	2142	3	4	7	31	1892	36	17	47.94%	6986	1	2	0.60	5	19	6	4	10	35	38	42

Show or Hide Column

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Thunder (Tam)	58	27	27	4	0.912	3.03	3464	12	2	175	1992	1	2	0.789	19	58	0	8	2	3
2	Jake Kielly	Thunder (Tam)	26	12	11	0	0.903	3.31	1431	0	0	79	815	3	2	0.00%	0	24	79	0	1	0
3	Olivier Rodrigue	Thunder (Tam)	2	0	1	0	0.950	2.00	60	0	0	2	40	0	0	0.00%	0	0	3	0	0	0
Team Total or Average			86	39	39	4	0.910	3.10	4955	12	2	256	2847	4	4		19	82	82	8	3	3

Show or Hide Column

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	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Adam Beckman	Thunder (Tam)	LW	20	2001-05-10	Yes	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$			Link
Anthony Bitetto (1 Way Contract)	Thunder (Tam)	D	31	1990-07-15	No	222 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	770,000$	0$	0$	No				Link
Antti Tuomisto	Thunder (Tam)	D	20	2001-01-20	Yes	205 Lbs	6 ft5	No	No	No	4	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	825,000$	Link
Artur Kayumov	Thunder (Tam)	LW/RW	23	1998-02-14	Yes	176 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No				Link
Calvin Pickard (1 Way Contract)	Thunder (Tam)	G	29	1992-04-14	No	210 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	915,000$	15,000$	0$	No				Link
Chris Wagner (1 Way Contract)	Thunder (Tam)	LW/RW	30	1991-05-26	No	198 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	1,000,000$	100,000$	0$	No	1,000,000$	1,000,000$	1,000,000$	Link
Curtis McKenzie (1 Way Contract)	Thunder (Tam)	LW	30	1991-02-22	No	205 Lbs	6 ft2	No	No	Yes	4	Pro & Farm	560,000$	0$	0$	No	560,000$	560,000$	560,000$	Link
Ethan Keppen	Thunder (Tam)	LW	20	2001-03-20	Yes	212 Lbs	6 ft2	No	No	No	3	Pro & Farm	560,000$	0$	0$	No	560,000$	560,000$		Link
Filip Johansson	Thunder (Tam)	D	21	2000-03-23	Yes	181 Lbs	6 ft1	No	No	No	3	Pro & Farm	895,000$	0$	0$	No	895,000$	895,000$		Link
Gabriel Fortier	Thunder (Tam)	C/LW	21	2000-02-06	Yes	174 Lbs	5 ft10	No	No	No	3	Pro & Farm	791,667$	0$	0$	No	791,667$	791,667$		Link
Ilya Nikolaev	Thunder (Tam)	C	20	2001-06-26	Yes	190 Lbs	6 ft0	No	No	No	4	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	Link
Jack Drury	Thunder (Tam)	C	21	2000-02-03	Yes	174 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Link
Jackson Lacombe	Thunder (Tam)	D	20	2001-01-09	Yes	201 Lbs	6 ft2	No	No	No	4	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	825,000$	Link
Jacob Larsson	Thunder (Tam)	D	24	1997-04-29	No	190 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	1,000,000$	0$	0$	No				Link
Jake Kielly	Thunder (Tam)	G	25	1996-09-10	Yes	201 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Link
Jayson Megna (1 Way Contract)	Thunder (Tam)	C/RW	31	1990-02-01	No	195 Lbs	6 ft1	No	No	Yes	4	Pro & Farm	560,000$	0$	0$	No	560,000$	560,000$	560,000$	Link
Jett Woo	Thunder (Tam)	D	21	2000-07-27	Yes	205 Lbs	6 ft0	No	No	No	3	Pro & Farm	860,833$	0$	0$	No	860,833$	860,833$		Link
John Lethemon	Thunder (Tam)	G	25	1996-08-15	Yes	196 Lbs	6 ft3	No	No	Yes	4	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	825,000$
Maxwell Crozier	Thunder (Tam)	D	21	2000-04-19	Yes	194 Lbs	6 ft2	No	No	No	4	Pro & Farm	560,000$	0$	0$	No	560,000$	560,000$	560,000$	Link
Nikita Nesterov (1 Way Contract)	Thunder (Tam)	D	28	1993-03-28	No	191 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	700,000$	0$	0$	No				Link
Ole Bjorgvik Holm	Thunder (Tam)	D	19	2002-05-23	Yes	190 Lbs	6 ft2	No	No	No	4	Pro & Farm	845,333$	0$	0$	No	845,333$	845,333$	845,333$	Link
Olivier Rodrigue	Thunder (Tam)	G	21	2000-07-06	Yes	170 Lbs	6 ft1	No	No	No	3	Pro & Farm	795,000$	0$	0$	No	795,000$	795,000$		Link
Ryan O'Rourke	Thunder (Tam)	D	19	2002-05-16	Yes	181 Lbs	6 ft2	No	No	No	2	Pro & Farm	886,667$	0$	0$	No	886,667$			Link
Samuel Ersson	Thunder (Tam)	G	21	1999-10-20	Yes	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	859,167$	0$	0$	No	859,167$	859,167$		Link
Tobias Bjornfot	Thunder (Tam)	D	20	2001-04-06	No	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$			Link
Urho Vaakanainen	Thunder (Tam)	D	22	1999-01-01	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	23.19	193 Lbs	6 ft1	2.77	803,218$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Wagner	Jayson Megna	Artur Kayumov	40	1	2	2
2	Curtis McKenzie	Jack Drury	Ilya Nikolaev	30	1	2	2
3	Adam Beckman	Gabriel Fortier	Ethan Keppen	20	1	2	2
4	Ethan Keppen	Ilya Nikolaev	Jayson Megna	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Ole Bjorgvik Holm	40	1	2	2
2	Jacob Larsson	Anthony Bitetto	30	1	2	2
3	Nikita Nesterov	Jett Woo	20	1	2	2
4	Jackson Lacombe	Tobias Bjornfot	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Wagner	Jayson Megna	Artur Kayumov	60	1	2	2
2	Curtis McKenzie	Jack Drury	Ilya Nikolaev	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Nikita Nesterov	60	1	2	2
2	Jacob Larsson	Anthony Bitetto	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jayson Megna	Chris Wagner	60	1	2	2
2	Curtis McKenzie	Jack Drury	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Jett Woo	60	1	2	2
2	Jacob Larsson	Anthony Bitetto	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jayson Megna	60	1	2	2	Tobias Bjornfot	Jett Woo	60	1	2	2
2	Chris Wagner	40	1	2	2	Jacob Larsson	Anthony Bitetto	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jayson Megna	Chris Wagner	60	1	2	2
2	Curtis McKenzie	Jack Drury	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Nikita Nesterov	60	1	2	2
2	Jacob Larsson	Anthony Bitetto	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Wagner	Jayson Megna	Artur Kayumov	Tobias Bjornfot	Jacob Larsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Wagner	Jayson Megna	Artur Kayumov	Tobias Bjornfot	Jacob Larsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Adam Beckman, Gabriel Fortier, Ethan Keppen	Adam Beckman, Gabriel Fortier	Ethan Keppen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Maxwell Crozier, Nikita Nesterov, Jett Woo	Maxwell Crozier	Nikita Nesterov, Jett Woo

Penalty Shots
Jayson Megna, Chris Wagner, Curtis McKenzie, Jack Drury, Adam Beckman

Goalie
#1 : Calvin Pickard, #2 : Jake Kielly

Custom OT Lines Forwards
Jayson Megna, Chris Wagner, Curtis McKenzie, Jack Drury, Adam Beckman, Ethan Keppen, Ethan Keppen, Artur Kayumov, Gabriel Fortier, Ilya Nikolaev,

Custom OT Lines Defensemen
Tobias Bjornfot, Jacob Larsson, Anthony Bitetto, Maxwell Crozier, Nikita Nesterov

Show or Hide Column

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	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	96	87	74	7	58	920	965	970	47	67	15	25	31	8	0	0.00%	8	2	75.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
2	Baby Hawks	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	9	14	0	1	96	87	74	7	77	920	965	970	47	52	20	19	37	8	2	25.00%	7	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
3	Bears	3	1	2	0	0	0	0	0	10	12	-2	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	10	18	28	1	0	96	87	74	7	97	920	965	970	47	107	25	16	71	8	1	12.50%	8	2	75.00%	1	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
4	Bruins	4	2	2	0	0	0	0	0	16	14	2	2	1	1	0	0	0	0	0	10	8	2	2	1	1	0	0	0	0	0	6	6	0	4	0.500	16	29	45	0	0	96	87	74	7	143	920	965	970	47	144	37	36	101	17	2	11.76%	14	1	92.86%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
5	Cabaret Lady Mary Ann	4	4	0	0	0	0	0	0	21	9	12	2	2	0	0	0	0	0	0	10	5	5	2	2	0	0	0	0	0	0	11	4	7	8	1.000	21	40	61	0	0	96	87	74	7	244	920	965	970	47	135	32	37	105	5	2	40.00%	16	2	87.50%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
6	Caroline	3	2	1	0	0	0	0	0	11	10	1	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	8	8	0	4	0.667	11	21	32	0	0	96	87	74	7	103	920	965	970	47	101	20	16	53	15	4	26.67%	8	1	87.50%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
7	Chiefs	2	0	0	0	0	0	1	1	6	6	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	3	0.750	6	9	15	0	0	96	87	74	7	73	920	965	970	47	58	11	11	35	2	1	50.00%	3	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
8	Chill	2	0	1	0	1	0	0	0	6	7	-1	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	10	16	0	0	96	87	74	7	69	920	965	970	47	81	34	15	49	5	1	20.00%	5	1	80.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
9	Comets	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	10	17	27	0	0	96	87	74	7	85	920	965	970	47	67	26	14	40	7	2	28.57%	7	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
10	Cougars	4	1	3	0	0	0	0	0	15	15	0	2	1	1	0	0	0	0	0	8	5	3	2	0	2	0	0	0	0	0	7	10	-3	2	0.250	15	28	43	0	0	96	87	74	7	145	920	965	970	47	142	40	20	101	15	5	33.33%	10	1	90.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
11	Crunch	4	3	0	0	0	0	1	0	15	8	7	2	1	0	0	0	0	1	0	8	6	2	2	2	0	0	0	0	0	0	7	2	5	8	1.000	15	24	39	0	1	96	87	74	7	160	920	965	970	47	131	32	42	95	19	7	36.84%	14	1	92.86%	1	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
12	Heat	2	0	1	0	1	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	7	12	19	1	0	96	87	74	7	76	920	965	970	47	75	16	16	45	7	1	14.29%	8	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
13	Jayhawks	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	96	87	74	7	57	920	965	970	47	81	20	23	38	1	1	100.00%	9	1	88.89%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
14	Las Vegas	2	0	2	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	96	87	74	7	68	920	965	970	47	94	28	35	42	8	0	0.00%	10	4	60.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
15	Manchots	3	0	3	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	6	-4	0	0.000	4	7	11	0	0	96	87	74	7	103	920	965	970	47	77	26	34	57	13	1	7.69%	12	3	75.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
16	Marlies	3	1	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	0	7	-7	1	1	0	0	0	0	0	0	2	1	1	2	0.333	2	4	6	0	0	96	87	74	7	81	920	965	970	47	113	17	24	83	7	0	0.00%	10	1	90.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
17	Minnesota	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	15	23	0	0	96	87	74	7	81	920	965	970	47	45	11	8	43	6	1	16.67%	4	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
18	Monarchs	2	0	1	0	0	1	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	7	14	21	0	0	96	87	74	7	76	920	965	970	47	72	20	16	51	4	0	0.00%	7	3	57.14%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
19	Monsters	3	0	2	0	0	0	0	1	7	12	-5	2	0	1	0	0	0	0	1	4	7	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0.167	7	11	18	0	0	96	87	74	7	83	920	965	970	47	113	28	24	74	7	0	0.00%	12	3	75.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
20	Monsters	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	6	3	3	2	0.500	8	13	21	1	0	96	87	74	7	70	920	965	970	47	57	14	12	43	6	2	33.33%	5	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
21	Oceanics	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	16	24	0	0	96	87	74	7	66	920	965	970	47	90	30	10	49	4	0	0.00%	5	1	80.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
22	Oil Kings	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	1	3	2	0.500	7	14	21	0	0	96	87	74	7	69	920	965	970	47	55	30	18	37	2	0	0.00%	9	2	77.78%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
23	Phantoms	3	2	0	0	0	0	1	0	17	8	9	2	2	0	0	0	0	0	0	13	5	8	1	0	0	0	0	0	1	0	4	3	1	6	1.000	17	31	48	0	0	96	87	74	7	120	920	965	970	47	89	27	19	73	12	6	50.00%	7	1	85.71%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
24	Rocket	4	2	1	0	0	0	0	1	16	14	2	2	1	0	0	0	0	0	1	10	9	1	2	1	1	0	0	0	0	0	6	5	1	5	0.625	16	27	43	0	0	96	87	74	7	129	920	965	970	47	138	39	44	93	12	6	50.00%	16	2	87.50%	1	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
25	Seattle	2	1	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	3	5	8	0	0	96	87	74	7	51	920	965	970	47	78	17	14	41	4	0	0.00%	7	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
26	Senators	3	2	1	0	0	0	0	0	11	8	3	1	0	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	8	4	4	4	0.667	11	21	32	0	0	96	87	74	7	83	920	965	970	47	109	40	43	66	7	3	42.86%	14	2	85.71%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
27	Sharks	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	12	19	0	0	96	87	74	7	87	920	965	970	47	74	27	2	54	7	3	42.86%	1	1	0.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
28	Sound Tigers	3	0	3	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	7	12	19	0	0	96	87	74	7	101	920	965	970	47	121	41	31	81	9	2	22.22%	11	3	72.73%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
29	Spiders	3	1	2	0	0	0	0	0	10	12	-2	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	6	10	-4	2	0.333	10	18	28	0	0	96	87	74	7	87	920	965	970	47	111	27	18	96	7	2	28.57%	9	3	66.67%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
30	Stars	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	2	3	1	0	96	87	74	7	53	920	965	970	47	59	20	14	46	9	0	0.00%	7	0	100.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
31	Wolf Pack	3	0	3	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	6	12	18	0	0	96	87	74	7	88	920	965	970	47	115	21	37	71	10	0	0.00%	10	2	80.00%	0	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
	Total	82	34	39	0	2	1	3	3	262	263	-1	41	18	18	0	1	0	1	3	137	137	0	41	16	21	0	1	1	2	0	125	126	-1	82	0.500	262	471	733	4	2	96	87	74	7	2883	920	965	970	47	2851	791	693	1901	251	55	21.91%	273	43	84.25%	3	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
	_Since Last GM Reset	82	34	39	0	2	1	3	3	262	263	-1	41	18	18	0	1	0	1	3	137	137	0	41	16	21	0	1	1	2	0	125	126	-1	82	0.500	262	471	733	4	2	96	87	74	7	2883	920	965	970	47	2851	791	693	1901	251	55	21.91%	273	43	84.25%	3	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543
	_Vs Conference	41	11	26	0	1	1	1	1	119	144	-25	21	7	12	0	1	0	0	1	68	76	-8	20	4	14	0	0	1	1	0	51	68	-17	28	0.341	119	216	335	1	0	96	87	74	7	1342	920	965	970	47	1483	415	350	1007	125	21	16.80%	133	29	78.20%	1	1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%	1981	1354	1895	619	1085	543

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	82	L2	262	471	733	2883	2851	791	693	1901	4	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	34	39	2	1	3	3	262	263

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	18	1	0	1	3	137	137

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	16	21	1	1	2	0	125	126

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	7	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
251	55	21.91%	273	43	84.25%	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
920	965	970	47	96	87	74	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1365	2796	48.82%	1350	2842	47.50%	634	1348	47.03%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1981	1354	1895	619	1085	543

Last Played Games Show or Hide Column

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
5 - 2022-10-11	3	Thunder	3	Wolf Pack	4	AL			BoxScore
8 - 2022-10-14	21	Thunder	3	Monsters	5	AL			BoxScore
9 - 2022-10-15	31	Thunder	1	Manchots	3	AL			BoxScore
12 - 2022-10-18	53	Phantoms	2	Thunder	5	BW			BoxScore
15 - 2022-10-21	71	Thunder	4	Cabaret Lady Mary Ann	1	AW			BoxScore
16 - 2022-10-22	81	Sound Tigers	3	Thunder	1	BL			BoxScore
19 - 2022-10-25	106	Thunder	3	Monarchs	4	AL	X		BoxScore
20 - 2022-10-26	110	Thunder	1	Admirals	3	AL			BoxScore
23 - 2022-10-29	128	Thunder	2	Sharks	3	AL			BoxScore
26 - 2022-11-01	148	Senators	4	Thunder	3	BL			BoxScore
28 - 2022-11-03	162	Caroline	2	Thunder	3	BW			BoxScore
30 - 2022-11-05	181	Crunch	4	Thunder	5	BW	X	X	BoxScore
33 - 2022-11-08	202	Oil Kings	5	Thunder	3	BL			BoxScore
36 - 2022-11-11	222	Thunder	2	Bears	4	AL			BoxScore
38 - 2022-11-13	242	Bears	6	Thunder	4	BL			BoxScore
40 - 2022-11-15	248	Stars	3	Thunder	1	BL			BoxScore
42 - 2022-11-17	260	Heat	5	Thunder	3	BL			BoxScore
44 - 2022-11-19	285	Thunder	1	Chill	3	AL			BoxScore
46 - 2022-11-21	291	Bruins	4	Thunder	7	BW			BoxScore
50 - 2022-11-25	328	Chiefs	3	Thunder	2	BL	X	X	BoxScore
53 - 2022-11-28	347	Thunder	4	Crunch	2	AW			BoxScore
54 - 2022-11-29	355	Thunder	4	Bruins	2	AW			BoxScore
56 - 2022-12-01	367	Thunder	4	Phantoms	3	AW	X	X	BoxScore
58 - 2022-12-03	385	Marlies	2	Thunder	0	BL			BoxScore
61 - 2022-12-06	405	Cougars	1	Thunder	5	BW			BoxScore
63 - 2022-12-08	421	Chill	4	Thunder	5	BW	X		BoxScore
65 - 2022-12-10	436	Cabaret Lady Mary Ann	1	Thunder	5	BW			BoxScore
68 - 2022-12-13	459	Seattle	2	Thunder	3	BW			BoxScore
70 - 2022-12-15	470	Monsters	5	Thunder	3	BL			BoxScore
72 - 2022-12-17	490	Thunder	1	Rocket	2	AL			BoxScore
75 - 2022-12-20	513	Thunder	2	Marlies	1	AW			BoxScore
76 - 2022-12-21	519	Thunder	4	Cougars	5	AL			BoxScore
78 - 2022-12-23	536	Thunder	3	Crunch	0	AW			BoxScore
83 - 2022-12-28	559	Rocket	2	Thunder	4	BW			BoxScore
84 - 2022-12-29	565	Wolf Pack	6	Thunder	2	BL			BoxScore
86 - 2022-12-31	583	Jayhawks	3	Thunder	4	BW			BoxScore
89 - 2023-01-03	605	Thunder	2	Baby Hawks	0	AW			BoxScore
90 - 2023-01-04	610	Thunder	3	Minnesota	1	AW			BoxScore
92 - 2023-01-06	624	Thunder	3	Oceanics	5	AL			BoxScore
96 - 2023-01-10	648	Monsters	2	Thunder	1	BL	X	X	BoxScore
98 - 2023-01-12	667	Comets	2	Thunder	4	BW			BoxScore
100 - 2023-01-14	688	Thunder	4	Chiefs	3	AW	X	X	BoxScore
102 - 2023-01-16	698	Thunder	0	Seattle	5	AL			BoxScore
104 - 2023-01-18	714	Thunder	6	Comets	2	AW			BoxScore
105 - 2023-01-19	725	Thunder	4	Oil Kings	1	AW			BoxScore
107 - 2023-01-21	733	Thunder	4	Heat	3	AW	X		BoxScore
110 - 2023-01-24	758	Minnesota	1	Thunder	5	BW			BoxScore
112 - 2023-01-26	771	Bruins	4	Thunder	3	BL			BoxScore
114 - 2023-01-28	791	Monarchs	6	Thunder	4	BL			BoxScore
123 - 2023-02-06	808	Thunder	7	Cabaret Lady Mary Ann	3	AW			BoxScore
124 - 2023-02-07	814	Sharks	3	Thunder	5	BW			BoxScore
126 - 2023-02-09	821	Monsters	4	Thunder	2	BL			BoxScore
128 - 2023-02-11	837	Thunder	0	Stars	2	AL			BoxScore
131 - 2023-02-14	862	Thunder	6	Monsters	3	AW			BoxScore
132 - 2023-02-15	865	Thunder	5	Jayhawks	3	AW			BoxScore
135 - 2023-02-18	895	Thunder	1	Las Vegas	6	AL			BoxScore
138 - 2023-02-21	908	Admirals	2	Thunder	0	BL			BoxScore
140 - 2023-02-23	921	Crunch	2	Thunder	3	BW			BoxScore
142 - 2023-02-25	942	Thunder	3	Cougars	5	AL			BoxScore
143 - 2023-02-26	951	Thunder	1	Manchots	3	AL			BoxScore
145 - 2023-02-28	960	Cabaret Lady Mary Ann	4	Thunder	5	BW			BoxScore
147 - 2023-03-02	977	Manchots	4	Thunder	2	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2023-03-05	1001	Thunder	5	Caroline	3	AW			BoxScore
152 - 2023-03-07	1014	Phantoms	3	Thunder	8	BW			BoxScore
154 - 2023-03-09	1031	Las Vegas	4	Thunder	0	BL			BoxScore
156 - 2023-03-11	1042	Baby Hawks	2	Thunder	3	BW			BoxScore
157 - 2023-03-12	1057	Oceanics	3	Thunder	5	BW			BoxScore
159 - 2023-03-14	1065	Thunder	4	Spiders	6	AL			BoxScore
161 - 2023-03-16	1083	Thunder	2	Spiders	4	AL			BoxScore
163 - 2023-03-18	1101	Rocket	7	Thunder	6	BL	X	X	BoxScore
164 - 2023-03-19	1113	Spiders	2	Thunder	4	BW			BoxScore
166 - 2023-03-21	1126	Thunder	5	Rocket	3	AW			BoxScore
168 - 2023-03-23	1139	Thunder	4	Senators	2	AW			BoxScore
170 - 2023-03-25	1151	Thunder	2	Bruins	4	AL			BoxScore
173 - 2023-03-28	1179	Thunder	3	Caroline	5	AL			BoxScore
175 - 2023-03-30	1194	Bears	2	Thunder	4	BW			BoxScore
177 - 2023-04-01	1209	Sound Tigers	4	Thunder	2	BL			BoxScore
181 - 2023-04-05	1241	Thunder	1	Wolf Pack	2	AL			BoxScore
182 - 2023-04-06	1249	Thunder	4	Sound Tigers	5	AL			BoxScore
184 - 2023-04-08	1267	Thunder	4	Senators	2	AW			BoxScore
187 - 2023-04-11	1289	Marlies	5	Thunder	0	BL			BoxScore
189 - 2023-04-13	1300	Cougars	4	Thunder	3	BL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	77,756	39,442
Attendance PCT	94.82%	96.20%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2858 - 95.28%	80,807$	3,313,090$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,684,413$	1,637,867$	1,637,867$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
8,620$	1,684,413$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	8,620$	0$

Thunder Stat Leaders (Regular Season)

Show or Hide Column

#	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

Thunder Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Thunder Career Team Stats

Show or Hide Column

	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

Thunder Stat Leaders (Play-Off)

Show or Hide Column

#	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

Thunder Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Thunder
	GP: 82 \| W: 39 \| L: 39 \| OTL: 4 \| P: 82 GF: 262 \| GA: 263 \| PP%: 21.91% \| PK%: 84.25% GM : Jean-Francois Lemelin \| Morale : 50 \| Team Overall : 55