OTHL - Thunderbirds

Panthers
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

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
1	Martin Necas (R)	X		X		100.00	75	43	90	86	63	67	84	73	35	75	76	60	25	53	53	75	50	68	0	22	3	1,462,000$
2	Alexander Nylander (R)		X	X		100.00	63	41	94	84	68	62	80	68	33	70	68	61	75	60	60	69	50	66	0	23	3	1,775,000$
3	Sam Steel	X				100.00	63	41	90	81	64	70	86	72	85	70	59	60	25	55	55	66	50	65	0	23	2	925,000$
4	Max Jones		X			100.00	79	44	82	73	76	67	87	63	38	57	66	66	25	55	55	67	50	64	0	23	2	863,333$
5	Emil Bemstrom (R)	X	X	X		100.00	73	42	95	82	65	62	69	68	34	64	71	54	25	50	50	68	50	63	0	21	3	1,633,333$
6	Luke Johnson	X				100.00	71	70	72	67	70	70	72	64	80	56	67	63	64	45	45	66	50	62	0	26	2	925,000$
7	Michael Dal Colle		X	X		100.00	80	44	92	66	74	61	75	60	56	60	58	62	25	55	56	63	50	61	0	24	2	3,063,333$
8	Michael McCarron	X		X		100.00	78	88	53	65	88	61	62	59	74	50	62	66	59	49	49	61	50	60	0	26	1	1,076,000$
9	Matthew Highmore		X	X		100.00	76	43	94	70	66	55	62	59	31	60	57	70	25	47	47	63	50	60	0	25	1	925,000$
10	Cooper Marody	X		X		100.00	69	64	79	66	64	63	64	60	75	60	56	61	53	44	44	61	50	59	0	24	2	1,000,000$
11	Brendan Guhle				X	100.00	69	42	89	75	69	71	75	57	25	50	54	74	25	58	58	63	50	65	0	23	2	1,000,000$
12	Erik Brannstrom (R)				X	100.00	65	41	84	83	62	65	72	69	25	50	47	66	25	47	47	60	50	63	0	21	3	1,375,000$
13	Alexandre Carrier				X	100.00	67	63	77	68	63	78	84	58	25	57	42	62	40	55	55	57	50	62	0	24	1	800,000$
14	Lucas Carlsson (R)				X	100.00	74	70	84	65	70	73	78	54	25	52	42	62	40	44	44	56	50	60	0	23	3	925,000$
15	Tyler Wotherspoon				X	100.00	79	76	85	61	76	72	78	51	25	47	41	63	39	44	44	55	50	60	0	28	1	800,000$
16	Dan Renouf				X	100.00	71	76	59	62	76	73	80	50	25	43	40	61	38	53	53	52	50	59	0	26	2	700,000$
Scratches
1	Trevor Lewis	X		X		100.00	77	44	90	74	75	61	67	59	44	60	60	69	25	74	78	64	50	64	0	34	2	800,000$
2	Parker Wotherspoon				X	100.00	63	62	64	63	62	76	83	52	25	49	41	56	39	44	44	53	50	57	0	23	3	854,722$

	TEAM AVERAGE					100.00	72	55	82	72	70	67	75	61	42	57	56	63	37	52	52	62	50	62

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
1	Dan Vladar (R)	100.00	68	58	73	80	70	72	72	76	76	75	30	44	44	70	50	68	0
2	Jake Oettinger	100.00	59	52	65	86	63	63	56	63	63	62	30	44	44	60	50	61	0
Scratches
1	Ilya Sorokin (R)	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0

	TEAM AVERAGE	100.00	59	53	63	72	61	62	59	63	63	62	37	46	46	60	50	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chris Taylor	53	38	46	55	50	47	48	CAN	44	3	700,000$

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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/PlayersStatSub.php on line 105

#	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	FW	FL	FT	S1	S2	S3
1	Alexander Nylander	Thunderbirds (FLA)	LW/RW	76	59	47	106	80	8	0	41	108	253	69	188	23.32%	12	1448	19.06	7	10	17	45	266	3	1	4	11	184	7	1	49.24%	331	7	1.46	3	6	0	0	0	11	10	5
2	Max Jones	Thunderbirds (FLA)	LW	80	47	50	97	65	70	10	116	93	263	81	180	17.87%	12	1475	18.45	9	13	22	51	257	2	1	3	10	270	10	2	53.21%	156	3	1.31	3	6	0	0	1	6	7	10
3	Emil Bemstrom	Thunderbirds (FLA)	C/LW/RW	73	24	46	70	52	24	0	57	81	181	60	139	13.26%	3	1054	14.45	3	10	13	39	227	0	0	0	2	76	4	2	51.40%	321	2	1.33	1	3	0	0	0	3	7	5
4	Luke Johnson	Thunderbirds (FLA)	C	65	34	36	70	57	52	10	82	93	164	37	114	20.73%	4	1035	15.92	5	7	12	17	134	1	1	2	8	122	6	1	70.25%	1005	1	1.35	0	1	0	1	0	10	6	0
5	Michael McCarron	Thunderbirds (FLA)	C/RW	82	22	45	67	66	129	25	142	89	140	40	103	15.71%	7	1108	13.52	1	5	6	15	149	0	1	1	3	128	3	0	72.09%	989	1	1.21	0	0	4	1	0	3	5	2
6	C.J. Smith	Panthers	LW	67	31	33	64	48	37	5	57	72	185	66	147	16.76%	5	974	14.55	0	2	2	8	82	0	0	0	5	94	7	1	63.64%	77	1	1.31	0	0	0	0	1	4	5	5
7	Danny O'Regan	Panthers	C/RW	65	21	42	63	60	28	0	93	84	143	40	101	14.69%	9	1232	18.96	4	9	13	24	228	0	0	0	2	129	1	2	66.57%	682	1	1.02	0	1	0	0	0	4	3	7
8	Rasmus Andersson	Panthers	D	63	10	52	62	15	58	0	87	75	116	38	53	8.62%	55	1479	23.48	4	11	15	79	224	1	2	3	2	267	1	0	0.00%	2	0	0.84	0	0	0	0	0	3	3	4
9	Michael Dal Colle	Thunderbirds (FLA)	LW/RW	82	20	41	61	52	27	5	52	53	127	39	101	15.75%	1	925	11.29	6	7	13	29	176	0	0	0	0	57	4	0	62.50%	64	0	1.32	0	0	0	0	1	1	1	7
10	Cooper Marody	Thunderbirds (FLA)	C/RW	82	22	37	59	51	40	0	71	93	145	35	115	15.17%	8	1010	12.32	0	0	0	3	46	1	0	1	1	73	2	2	72.82%	585	0	1.17	0	0	0	0	0	3	4	1
11	Erik Brannstrom	Thunderbirds (FLA)	D	62	13	40	53	40	26	0	83	43	90	27	56	14.44%	42	1280	20.65	9	12	21	52	192	0	1	1	0	211	3	1	0.00%	0	0	0.83	0	0	0	0	0	3	1	5
12	Alexandre Carrier	Thunderbirds (FLA)	D	82	9	39	48	51	80	0	121	44	66	16	41	13.64%	66	1681	20.50	6	10	16	40	275	0	2	2	0	263	0	0	0.00%	0	0	0.57	0	0	0	0	0	0	0	3
13	Lucas Carlsson	Thunderbirds (FLA)	D	84	7	41	48	56	74	0	97	67	55	13	47	12.73%	50	1573	18.73	2	9	11	33	177	0	1	1	0	234	1	0	0.00%	0	0	0.61	0	0	0	0	0	1	0	4
14	Matthew Highmore	Thunderbirds (FLA)	LW/RW	49	14	20	34	30	12	0	34	55	94	34	62	14.89%	4	619	12.64	2	2	4	8	43	0	0	0	1	72	2	0	36.36%	55	0	1.10	0	1	0	0	0	1	2	1
15	Dan Renouf	Thunderbirds (FLA)	D	81	3	24	27	62	105	25	164	38	36	7	30	8.33%	37	1284	15.86	0	0	0	2	73	0	0	0	0	137	0	1	0.00%	0	0	0.42	0	0	2	0	3	4	0	1
16	Sam Steel	Thunderbirds (FLA)	C	29	10	16	26	16	12	0	22	61	52	18	32	19.23%	3	536	18.50	1	4	5	11	104	0	0	0	1	67	1	0	67.74%	592	0	0.97	0	0	0	0	0	1	1	0
17	Tyler Wotherspoon	Thunderbirds (FLA)	D	82	6	19	25	57	74	0	125	44	45	21	27	13.33%	52	1459	17.80	1	2	3	23	189	0	1	1	0	180	1	0	0.00%	0	0	0.34	0	0	0	0	0	0	2	0
18	Brendan Guhle	Thunderbirds (FLA)	D	34	3	17	20	14	32	0	43	34	43	19	38	6.98%	20	747	21.98	2	3	5	22	107	0	1	1	2	123	0	0	0.00%	0	0	0.54	0	0	0	0	0	0	2	0
19	Parker Wotherspoon	Thunderbirds (FLA)	D	64	1	13	14	20	55	5	50	23	14	12	16	7.14%	24	713	11.14	0	0	0	0	23	0	0	0	0	74	0	0	60.00%	5	0	0.39	0	0	0	0	1	0	0	0
20	Victor Rask	Panthers	C/LW/RW	19	5	9	14	6	6	0	6	40	48	10	30	10.42%	0	342	18.04	0	4	4	9	76	1	1	2	2	55	1	0	64.21%	380	0	0.82	0	0	0	0	0	1	0	2
21	Martin Necas	Thunderbirds (FLA)	C/RW	13	3	8	11	8	8	0	21	14	34	14	31	8.82%	2	223	17.16	0	2	2	8	45	0	0	0	2	14	1	0	40.74%	27	0	0.99	0	0	0	0	0	0	0	0
22	Trevor Lewis	Thunderbirds (FLA)	C/RW	11	2	4	6	1	8	0	8	11	26	8	18	7.69%	0	171	15.63	0	1	1	0	6	1	0	1	2	50	0	0	25.00%	16	0	0.70	0	0	0	0	0	1	0	0
23	Vinni Lettieri	Panthers	C/RW	3	3	2	5	3	0	0	3	13	9	5	7	33.33%	1	73	24.37	0	1	1	2	11	0	0	0	0	19	0	0	75.95%	79	0	1.37	0	0	0	0	0	1	0	0
Team Total or Average				1348	369	681	1050	910	965	85	1575	1328	2329	709	1676	15.84%	417	22451	16.66	62	124	186	520	3122	10	13	23	54	2909	55	13	66.01%	5366	16	0.94	7	18	6	2	7	61	59	62

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	PS %	PSA	ST	BG	S1	S3
1	Jake Oettinger	Thunderbirds (FLA)	54	38	13	3	0.887	2.00	3147	4	9	105	933	1	0.706	17	54	28	0	2
2	Dan Vladar	Thunderbirds (FLA)	28	20	7	1	0.897	1.75	1685	0	7	49	474	0	0.000	0	28	0	1	1
3	Ilya Sorokin	Thunderbirds (FLA)	1	0	0	0	1.000	0.00	45	0	0	0	3	0	0.000	0	0	9	0	0
Team Total or Average			83	58	20	4	0.891	1.89	4878	4	16	154	1410	1	0.706	17	82	37	1	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	Link
Alexander Nylander	Thunderbirds (FLA)	LW/RW	23	1998-03-01	Yes	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,775,000$	0$	0$	No	1,775,000$	1,775,000$	Link
Alexandre Carrier	Thunderbirds (FLA)	D	24	1996-10-08	No	174 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link
Brendan Guhle	Thunderbirds (FLA)	D	23	1997-07-29	No	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Link / NHL Link
Cooper Marody	Thunderbirds (FLA)	C/RW	24	1996-12-20	No	173 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$		Link / NHL Link
Dan Renouf	Thunderbirds (FLA)	D	26	1994-06-01	No	205 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Link / NHL Link
Dan Vladar	Thunderbirds (FLA)	G	23	1997-08-20	Yes	185 Lbs	6 ft5	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Emil Bemstrom	Thunderbirds (FLA)	C/LW/RW	21	1999-06-01	Yes	181 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,633,333$	0$	0$	No	1,633,333$	1,633,333$	Link / NHL Link
Erik Brannstrom	Thunderbirds (FLA)	D	21	1999-09-02	Yes	173 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,375,000$	0$	0$	No	1,375,000$	1,375,000$	Link / NHL Link
Ilya Sorokin	Thunderbirds (FLA)	G	25	1995-08-04 2:47:45 PM	Yes	190 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$
Jake Oettinger	Thunderbirds (FLA)	G	22	1998-12-18	No	212 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link / NHL Link
Lucas Carlsson	Thunderbirds (FLA)	D	23	1997-07-05	Yes	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Luke Johnson	Thunderbirds (FLA)	C	26	1994-09-18	No	198 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link / NHL Link
Martin Necas	Thunderbirds (FLA)	C/RW	22	1999-01-14	Yes	167 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,462,000$	0$	0$	No	1,462,000$	1,462,000$	Link / NHL Link
Matthew Highmore	Thunderbirds (FLA)	LW/RW	25	1996-02-27	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link / NHL Link
Max Jones	Thunderbirds (FLA)	LW	23	1998-02-16	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$		Link / NHL Link
Michael Dal Colle	Thunderbirds (FLA)	LW/RW	24	1996-06-19	No	198 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,063,333$	0$	0$	No	3,063,333$		Link / NHL Link
Michael McCarron	Thunderbirds (FLA)	C/RW	26	1995-03-06	No	231 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,076,000$	0$	0$	No			Link / NHL Link
Parker Wotherspoon	Thunderbirds (FLA)	D	23	1997-08-24	No	168 Lbs	6 ft0	No	No	No	3	Pro & Farm	854,722$	0$	0$	No	854,722$	854,722$	Link / NHL Link
Sam Steel	Thunderbirds (FLA)	C	23	1998-02-03	No	178 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Link / NHL Link
Trevor Lewis	Thunderbirds (FLA)	C/RW	34	1987-01-07	No	205 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Link / NHL Link
Tyler Wotherspoon	Thunderbirds (FLA)	D	28	1993-03-11	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	24.24	190 Lbs	6 ft1	2.19	1,170,368$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Nylander	Sam Steel	Martin Necas	40	1	2	2
2	Max Jones	Luke Johnson	Emil Bemstrom	30	1	2	2
3	Matthew Highmore	Michael McCarron	Cooper Marody	20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	40	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	30	1	2	2
3	Lucas Carlsson	Dan Renouf	20	1	2	2
4	Brendan Guhle	Erik Brannstrom	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Nylander	Sam Steel	Martin Necas	60	1	2	2
2	Max Jones	Michael McCarron	Emil Bemstrom	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Luke Johnson	Alexander Nylander	60	1	2	2
2	Michael McCarron	Max Jones	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Luke Johnson	60	1	2	2	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Michael McCarron	40	1	2	2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Luke Johnson	Alexander Nylander	60	1	2	2
2	Sam Steel	Max Jones	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Guhle	Erik Brannstrom	60	1	2	2
2	Alexandre Carrier	Tyler Wotherspoon	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Nylander	Sam Steel	Martin Necas	Brendan Guhle	Erik Brannstrom

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Nylander	Luke Johnson	Emil Bemstrom	Brendan Guhle	Erik Brannstrom

Extra Forwards
Normal	PowerPlay	Penalty Kill
Luke Johnson, Matthew Highmore, Michael McCarron	Luke Johnson, Matthew Highmore	Michael McCarron

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lucas Carlsson, Dan Renouf, Alexandre Carrier	Lucas Carlsson	Dan Renouf, Alexandre Carrier

Penalty Shots
Martin Necas, Alexander Nylander, Sam Steel, Max Jones, Emil Bemstrom

Goalie
#1 : Dan Vladar, #2 : Jake Oettinger

Custom OT Lines Forwards
Martin Necas, Alexander Nylander, Sam Steel, Max Jones, Emil Bemstrom, Luke Johnson, Luke Johnson, Michael Dal Colle, Matthew Highmore, Michael McCarron, Cooper Marody

Custom OT Lines Defensemen
Brendan Guhle, Erik Brannstrom, Alexandre Carrier, Tyler Wotherspoon, Lucas Carlsson

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	Americans	4	0	2	0	2	0	0	0	15	16	-1	2	0	1	0	1	0	0	0	9	9	0	2	0	1	0	1	0	0	0	6	7	-1	4	0.500	15	26	41	0	0	143	112	90	9	75	732	746	736	29	108	29	42	72	20	1	5.00%	20	1	95.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
2	Admirals	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	7	12	19	0	0	143	112	90	9	43	732	746	736	29	43	13	20	51	10	3	30.00%	10	0	100.00%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
3	Barracudas	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	14	23	0	0	143	112	90	9	74	732	746	736	29	39	13	26	28	15	3	20.00%	12	1	91.67%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
4	Bears	3	3	0	0	0	0	0	0	23	2	21	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	8	0	8	6	1.000	23	42	65	0	1	143	112	90	9	126	732	746	736	29	36	10	18	52	6	3	50.00%	8	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
5	Bruins	4	2	2	0	0	0	0	0	8	3	5	2	1	1	0	0	0	0	0	4	1	3	2	1	1	0	0	0	0	0	4	2	2	4	0.500	8	14	22	0	2	143	112	90	9	77	732	746	736	29	47	14	45	65	38	4	10.53%	16	1	93.75%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
6	Checkers	3	1	0	0	0	2	0	0	11	6	5	1	0	0	0	0	1	0	0	2	3	-1	2	1	0	0	0	1	0	0	9	3	6	4	0.667	11	22	33	0	0	143	112	90	9	71	732	746	736	29	73	24	37	54	14	4	28.57%	15	1	93.33%	1	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
7	Comets	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	6	12	18	0	1	143	112	90	9	24	732	746	736	29	23	9	26	28	10	2	20.00%	8	2	75.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
8	Condors	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	14	22	0	0	143	112	90	9	33	732	746	736	29	26	9	37	33	14	4	28.57%	9	2	77.78%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
9	Crunch	4	1	3	0	0	0	0	0	8	11	-3	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	1	4	-3	2	0.250	8	13	21	0	0	143	112	90	9	66	732	746	736	29	99	19	52	76	12	0	0.00%	26	4	84.62%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
10	Devils	3	2	0	0	0	0	0	1	13	6	7	1	1	0	0	0	0	0	0	4	1	3	2	1	0	0	0	0	0	1	9	5	4	5	0.833	13	23	36	0	0	143	112	90	9	66	732	746	736	29	75	15	32	79	9	2	22.22%	16	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
11	Eagles	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	5	0	5	4	1.000	12	23	35	0	2	143	112	90	9	90	732	746	736	29	14	6	16	45	4	0	0.00%	8	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
12	Griffins	4	3	1	0	0	0	0	0	21	11	10	2	1	1	0	0	0	0	0	9	8	1	2	2	0	0	0	0	0	0	12	3	9	6	0.750	21	38	59	0	0	143	112	90	9	115	732	746	736	29	92	16	57	87	10	5	50.00%	22	4	81.82%	2	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
13	Gulls	2	1	0	0	0	0	1	0	12	3	9	1	1	0	0	0	0	0	0	9	1	8	1	0	0	0	0	0	1	0	3	2	1	4	1.000	12	18	30	0	0	143	112	90	9	77	732	746	736	29	34	8	10	40	4	1	25.00%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
14	Heat	2	0	1	0	0	0	1	0	7	8	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	1	0	6	5	1	2	0.500	7	10	17	0	0	143	112	90	9	61	732	746	736	29	33	8	20	24	14	5	35.71%	9	6	33.33%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
15	IceHogs	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	143	112	90	9	42	732	746	736	29	39	13	27	35	11	2	18.18%	10	2	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
16	Marlies	4	2	2	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	5	3	2	2	1	1	0	0	0	0	0	4	4	0	4	0.500	9	17	26	0	2	143	112	90	9	76	732	746	736	29	71	18	58	66	23	3	13.04%	25	2	92.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
17	Monsters	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	9	14	23	0	0	143	112	90	9	65	732	746	736	29	65	10	42	54	21	2	9.52%	20	3	85.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
18	Moose	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	7	11	0	0	143	112	90	9	39	732	746	736	29	45	13	35	31	8	1	12.50%	10	1	90.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
19	Penguins	3	2	0	0	0	0	1	0	14	6	8	2	2	0	0	0	0	0	0	10	3	7	1	0	0	0	0	0	1	0	4	3	1	6	1.000	14	25	39	0	1	143	112	90	9	73	732	746	736	29	58	9	55	52	14	2	14.29%	19	2	89.47%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
20	Phantoms	3	2	0	0	0	0	0	1	9	6	3	2	1	0	0	0	0	0	1	4	4	0	1	1	0	0	0	0	0	0	5	2	3	5	0.833	9	16	25	0	0	143	112	90	9	57	732	746	736	29	57	27	42	67	11	1	9.09%	19	3	84.21%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
21	Rampage	2	2	0	0	0	0	0	0	19	0	19	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	11	0	11	4	1.000	19	35	54	0	2	143	112	90	9	88	732	746	736	29	22	7	12	33	4	1	25.00%	6	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
22	Reign	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	15	23	0	0	143	112	90	9	60	732	746	736	29	23	8	17	35	7	1	14.29%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
23	Roadrunners	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	1	2	4	1.000	10	19	29	0	0	143	112	90	9	55	732	746	736	29	43	5	10	33	5	2	40.00%	5	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
24	Rocket	4	4	0	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	6	2	4	2	2	0	0	0	0	0	0	8	6	2	8	1.000	14	23	37	0	0	143	112	90	9	108	732	746	736	29	46	21	42	59	22	3	13.64%	21	5	76.19%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
25	Senators	4	2	1	0	0	0	1	0	10	6	4	2	1	0	0	0	0	1	0	6	3	3	2	1	1	0	0	0	0	0	4	3	1	6	0.750	10	17	27	0	2	143	112	90	9	115	732	746	736	29	73	22	24	76	21	0	0.00%	12	1	91.67%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
26	Sound Tigers	3	3	0	0	0	0	0	0	21	2	19	1	1	0	0	0	0	0	0	6	1	5	2	2	0	0	0	0	0	0	15	1	14	6	1.000	21	35	56	0	1	143	112	90	9	126	732	746	736	29	32	8	17	55	0	0	0.00%	5	1	80.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
27	Stars	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	9	1	8	4	1.000	14	25	39	0	0	143	112	90	9	65	732	746	736	29	18	7	21	54	4	0	0.00%	7	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
28	Wild	2	2	0	0	0	0	0	0	20	2	18	1	1	0	0	0	0	0	0	13	2	11	1	1	0	0	0	0	0	0	7	0	7	4	1.000	20	38	58	0	1	143	112	90	9	96	732	746	736	29	30	10	18	53	0	0	0.00%	6	0	100.00%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
29	Wolf Pack	3	3	0	0	0	0	0	0	24	2	22	2	2	0	0	0	0	0	0	17	2	15	1	1	0	0	0	0	0	0	7	0	7	6	1.000	24	45	69	0	1	143	112	90	9	114	732	746	736	29	40	17	28	56	6	2	33.33%	14	1	92.86%	2	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
30	Wolves	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	8	12	0	0	143	112	90	9	50	732	746	736	29	33	8	23	33	12	1	8.33%	8	1	87.50%	0	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	Total	82	52	20	0	2	2	4	2	351	160	191	41	30	7	0	1	1	1	1	187	72	115	41	22	13	0	1	1	3	1	164	88	76	120	0.732	351	624	975	0	16	143	112	90	9	2227	732	746	736	29	1437	396	909	1526	349	58	16.62%	376	46	87.77%	7	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Since Last GM Reset	82	52	20	0	2	2	4	2	351	160	191	41	30	7	0	1	1	1	1	187	72	115	41	22	13	0	1	1	3	1	164	88	76	120	0.732	351	624	975	0	16	143	112	90	9	2227	732	746	736	29	1437	396	909	1526	349	58	16.62%	376	46	87.77%	7	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Vs Conference	50	33	11	0	0	2	2	2	200	90	110	25	18	4	0	0	1	1	1	101	43	58	25	15	7	0	0	1	1	1	99	47	52	74	0.740	200	356	556	0	11	143	112	90	9	1279	732	746	736	29	887	239	575	926	217	33	15.21%	246	30	87.80%	5	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516
	_Vs Division	24	16	2	0	0	2	1	1	124	39	85	12	9	1	0	0	1	0	1	62	19	43	12	7	1	0	0	1	1	0	62	20	42	37	0.771	124	222	346	0	4	143	112	90	9	698	732	746	736	29	436	120	271	469	81	16	19.75%	116	11	90.52%	3	1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%	2511	1908	1526	476	922	516

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	120	W3	351	624	975	2227	1437	396	909	1526	0	16

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	52	20	2	2	4	2	351	160

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	30	7	1	1	1	1	187	72

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	13	1	1	3	1	164	88

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
349	58	16.62%	376	46	87.77%	7

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
732	746	736	29	143	112	90	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1503	2301	65.32%	1134	1856	61.10%	771	1229	62.73%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2511	1908	1526	476	922	516

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
2 - 2020-10-25	12	Thunderbirds	0	Crunch	1	L			BoxScore
4 - 2020-10-27	24	Crunch	5	Thunderbirds	2	L			BoxScore
7 - 2020-10-30	38	Checkers	3	Thunderbirds	2	L	X		BoxScore
10 - 2020-11-02	58	Thunderbirds	1	Americans	3	L			BoxScore
11 - 2020-11-03	70	Thunderbirds	7	Sound Tigers	0	W			BoxScore
13 - 2020-11-05	81	Thunderbirds	2	Devils	3	L	X	X	BoxScore
17 - 2020-11-09	110	Eagles	0	Thunderbirds	7	W			BoxScore
18 - 2020-11-10	117	Thunderbirds	2	Admirals	7	L			BoxScore
21 - 2020-11-13	138	Penguins	0	Thunderbirds	3	W			BoxScore
23 - 2020-11-15	146	Thunderbirds	6	Heat	5	W	X	X	BoxScore
26 - 2020-11-18	172	Thunderbirds	3	Condors	5	L			BoxScore
27 - 2020-11-19	178	Thunderbirds	4	Comets	5	L			BoxScore
29 - 2020-11-21	190	Thunderbirds	5	Eagles	0	W			BoxScore
32 - 2020-11-24	210	Griffins	3	Thunderbirds	5	W			BoxScore
37 - 2020-11-29	242	Bears	1	Thunderbirds	8	W			BoxScore
39 - 2020-12-01	256	Thunderbirds	8	Sound Tigers	1	W			BoxScore
40 - 2020-12-02	267	Thunderbirds	7	Wolf Pack	0	W			BoxScore
42 - 2020-12-04	273	Thunderbirds	3	Bruins	0	W			BoxScore
44 - 2020-12-06	289	Moose	1	Thunderbirds	3	W			BoxScore
46 - 2020-12-08	303	Wolf Pack	1	Thunderbirds	9	W			BoxScore
49 - 2020-12-11	324	Phantoms	3	Thunderbirds	2	L	X	X	BoxScore
51 - 2020-12-13	339	Gulls	1	Thunderbirds	9	W			BoxScore
53 - 2020-12-15	349	Thunderbirds	8	Checkers	1	W			BoxScore
54 - 2020-12-16	364	Americans	4	Thunderbirds	3	L			BoxScore
57 - 2020-12-19	389	Thunderbirds	8	Bears	0	W			BoxScore
60 - 2020-12-22	408	Admirals	1	Thunderbirds	5	W			BoxScore
63 - 2020-12-25	426	Wild	2	Thunderbirds	13	W			BoxScore
67 - 2020-12-29	457	Monsters	3	Thunderbirds	4	W			BoxScore
68 - 2020-12-30	465	Barracudas	1	Thunderbirds	6	W			BoxScore
70 - 2021-01-01	476	Crunch	2	Thunderbirds	5	W			BoxScore
72 - 2021-01-03	492	Sound Tigers	1	Thunderbirds	6	W			BoxScore
74 - 2021-01-05	505	Bruins	0	Thunderbirds	4	W			BoxScore
76 - 2021-01-07	521	Senators	3	Thunderbirds	4	W	X	X	BoxScore
80 - 2021-01-11	549	Stars	2	Thunderbirds	5	W			BoxScore
81 - 2021-01-12	554	Thunderbirds	1	Checkers	2	L	X		BoxScore
83 - 2021-01-14	577	Thunderbirds	1	Crunch	3	L			BoxScore
88 - 2021-01-19	595	Griffins	5	Thunderbirds	4	L			BoxScore
89 - 2021-01-20	607	Rocket	1	Thunderbirds	2	W			BoxScore
91 - 2021-01-22	616	Thunderbirds	2	Monsters	4	L			BoxScore
93 - 2021-01-24	634	Thunderbirds	4	Senators	0	W			BoxScore
95 - 2021-01-26	643	Thunderbirds	5	Americans	4	W	X		BoxScore
96 - 2021-01-27	657	Thunderbirds	4	Penguins	3	W	X	X	BoxScore
98 - 2021-01-29	667	Roadrunners	1	Thunderbirds	7	W			BoxScore
100 - 2021-01-31	682	Comets	0	Thunderbirds	2	W			BoxScore
103 - 2021-02-03	705	Marlies	0	Thunderbirds	5	W			BoxScore
107 - 2021-02-07	731	Reign	2	Thunderbirds	3	W			BoxScore
109 - 2021-02-09	745	Thunderbirds	7	Griffins	2	W			BoxScore
111 - 2021-02-11	760	Thunderbirds	7	Wild	0	W			BoxScore
112 - 2021-02-12	763	Thunderbirds	1	IceHogs	3	L			BoxScore
123 - 2021-02-23	798	Thunderbirds	5	Rocket	4	W			BoxScore
125 - 2021-02-25	811	Thunderbirds	3	Marlies	0	W			BoxScore
126 - 2021-02-26	815	Thunderbirds	3	Monsters	2	W			BoxScore
128 - 2021-02-28	831	Wolves	2	Thunderbirds	4	W			BoxScore
130 - 2021-03-02	846	Penguins	3	Thunderbirds	7	W			BoxScore
132 - 2021-03-04	862	Thunderbirds	5	Phantoms	2	W			BoxScore
133 - 2021-03-05	872	Thunderbirds	7	Devils	2	W			BoxScore
135 - 2021-03-07	883	Phantoms	1	Thunderbirds	2	W			BoxScore
137 - 2021-03-09	899	Condors	1	Thunderbirds	5	W			BoxScore
139 - 2021-03-11	918	Thunderbirds	3	Barracudas	2	W			BoxScore
141 - 2021-03-13	927	Thunderbirds	3	Gulls	2	W	X	X	BoxScore
142 - 2021-03-14	934	Thunderbirds	5	Reign	2	W			BoxScore
144 - 2021-03-16	958	Thunderbirds	0	Wolves	4	L			BoxScore
147 - 2021-03-19	969	Thunderbirds	3	Roadrunners	1	W			BoxScore
149 - 2021-03-21	986	Marlies	3	Thunderbirds	0	L			BoxScore
151 - 2021-03-23	1001	IceHogs	3	Thunderbirds	1	L			BoxScore
152 - 2021-03-24	1013	Heat	3	Thunderbirds	1	L			BoxScore
156 - 2021-03-28	1035	Bruins	1	Thunderbirds	0	L			BoxScore
158 - 2021-03-30	1052	Rocket	1	Thunderbirds	4	W			BoxScore
161 - 2021-04-02	1076	Thunderbirds	11	Rampage	0	W			BoxScore
163 - 2021-04-04	1086	Thunderbirds	9	Stars	1	W			BoxScore
165 - 2021-04-06	1104	Devils	1	Thunderbirds	4	W			BoxScore
167 - 2021-04-08	1120	Thunderbirds	5	Griffins	1	W			BoxScore
168 - 2021-04-09	1131	Thunderbirds	1	Moose	2	L			BoxScore
170 - 2021-04-11	1140	Americans	5	Thunderbirds	6	W	X		BoxScore
172 - 2021-04-13	1157	Rampage	0	Thunderbirds	8	W			BoxScore
174 - 2021-04-15	1174	Thunderbirds	1	Marlies	4	L			BoxScore
175 - 2021-04-16	1181	Thunderbirds	0	Senators	3	L			BoxScore
177 - 2021-04-18	1195	Thunderbirds	3	Rocket	2	W			BoxScore
179 - 2021-04-20	1206	Thunderbirds	1	Bruins	2	L			BoxScore
181 - 2021-04-22	1227	Wolf Pack	1	Thunderbirds	8	W			BoxScore
184 - 2021-04-25	1246	Senators	0	Thunderbirds	2	W			BoxScore
186 - 2021-04-27	1263	Bears	1	Thunderbirds	7	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	39	0
Attendance	80,065	38,413
Attendance PCT	97.64%	93.69%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2890 - 96.32%	77,096$	3,160,925$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,954,490$	2,457,771$	2,268,822$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
13,214$	2,254,448$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	16,977$	0$

Show or Hide Column

Warning: Undefined variable $TeamCareerSumSeasonOnly in /home/othlca/history.othl.ca/public_html/outputs/2020-21/regular-season/FarmTeam.php on line 1324

	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
	GP: 82 \| W: 58 \| L: 20 \| OTL: 4 \| P: 120 GF: 351 \| GA: 160 \| PP%: 16.62% \| PK%: 87.77% GM : Scott \| Morale : 50 \| Team Overall : 62