Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Hamilton Bulldogs 4-6-0, 8pts	3	FINAL	2	Seattle Thunderbirds 6-2-2, 14pts

Team Stats
L1	Streak	W1
1-4-0	Home Record	3-1-1
3-2-0	Away Record	3-1-1
4-6-0	Last 10 Games	6-2-2
4.60	Goals Per Game	5.20
5.00	Goals Against Per Game	4.30
37.14%	Power Play Percentage	38.24%
58.33%	Penalty Kill Percentage	51.61%

Seattle Thunderbirds
6-2-2, 14pts

FINAL

Texas Stars
7-2-1, 15pts

Team Stats
W1	Streak	L2
3-1-1	Home Record	3-2-0
3-1-1	Away Record	4-0-1
6-2-2	Last 10 Games	7-2-1
5.20	Goals Per Game	5.50
4.30	Goals Against Per Game	3.80
38.24%	Power Play Percentage	48.28%
51.61%	Penalty Kill Percentage	77.78%

Team Leaders
	Goals Sam Carrick 6	Assists Matt Tennyson 13

	Points Matt Tennyson 15	Plus/Minus Matt Tennyson 8

	Wins Zane McIntyre 6	Save Percentage Zane McIntyre 0.873

Team Stats
Goals For 52 5.20 GFG	Shots For 471 47.10 Avg	Power Play Percentage 38.2% 13 GF	Offensive Zone Start 37.3%
Goals Against 43 4.30 GAA	Shots Against 339 33.90 Avg	Penalty Kill Percentage 51.6% 15 GA	Defensive Zone Start 32.1%

Team Info
	General Manager	Jonathan
	Coach	Michel Therrien
	Division	Mario Lemieux
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 55
	Prospects	15

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	T.J. Tynan	X		X		100.00	66	58	86	62	58	66	66	69	80	73	61	62	58	45	45	65	52	60	0	29	1	750,000$
2	Alex Limoges (R)	X				100.00	79	74	89	58	74	56	54	66	80	60	69	67	66	44	44	67	52	60	0	23	1	700,000$
3	Logan Brown	X				100.00	84	85	80	62	85	57	56	61	76	63	54	69	51	46	46	61	53	59	0	23	1	875,000$
4	Paul Thompson	X	X	X		100.00	69	74	56	66	74	62	63	62	50	59	61	61	58	45	45	61	56	58	0	32	1	750,000$
5	Cole Maier	X	X			100.00	73	71	76	68	71	66	69	58	73	49	62	62	59	44	44	61	52	58	0	26	1	700,000$
6	Brett Sutter	X	X			100.00	76	73	83	63	73	69	74	52	65	51	47	65	45	54	54	56	52	57	0	34	1	750,000$
7	Pavel Dorofeyev (R)		X	X		100.00	71	63	89	66	63	60	61	58	50	47	65	61	62	44	44	62	52	56	0	20	2	925,000$
8	Ryan Schmelzer	X				100.00	75	70	87	68	70	57	58	56	70	57	51	63	48	44	44	58	52	56	0	27	1	700,000$
9	Graeme Clarke (R)			X		100.00	71	64	88	60	64	54	53	62	50	57	62	62	59	44	44	62	52	56	0	20	3	850,833$
10	Kody Clark			X		100.00	75	71	84	60	71	53	53	57	50	45	65	63	62	44	44	61	40	55	0	21	2	808,333$
11	Alex Whelan (R)			X		100.00	81	76	93	64	76	49	48	54	50	45	58	65	55	44	44	60	40	55	0	23	1	700,000$
12	Jacob MacDonald				X	100.00	77	44	91	67	73	65	69	60	25	58	48	66	75	55	55	58	49	61	0	28	1	725,000$
13	Yannick Weber			X	X	100.00	69	41	85	77	72	61	48	55	24	42	45	63	75	70	71	57	53	60	0	32	1	770,000$
14	Sami Niku				X	100.00	69	41	76	75	66	66	48	58	24	60	45	63	25	49	49	48	52	59	0	24	1	725,000$
15	Logan Stanley				X	100.00	78	45	80	62	87	61	66	58	25	47	48	63	25	47	47	56	52	59	0	23	1	900,000$
16	Vincent Desharnais				X	100.00	83	87	73	56	87	60	63	49	25	44	39	65	37	44	44	52	52	57	0	25	1	750,000$
17	Dmitry Osipov (R)				X	100.00	77	84	59	65	84	54	56	48	25	38	42	62	40	44	44	51	52	56	0	24	1	700,000$
18	Vincent LoVerde				X	100.00	75	73	80	62	73	60	65	45	25	34	40	60	38	44	44	51	52	55	0	32	1	700,000$
19	Vladislav Kolyachonok (R)				X	100.00	79	71	99	65	71	54	56	47	25	39	39	62	37	44	44	52	40	55	0	20	3	789,167$
20	Rob O'Gara				X	100.00	76	80	66	63	80	52	54	46	25	36	40	61	38	44	44	50	40	54	0	27	1	700,000$
Scratches
1	Stefan Noesen		X	X		100.00	77	75	83	74	75	57	57	62	50	59	57	69	54	59	60	63	35	61	0	28	1	750,000$

	TEAM AVERAGE					100.00	75	68	81	65	74	59	59	56	46	51	52	64	51	48	48	58	49	57

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
1	Zane McIntyre	100.00	61	61	76	79	62	64	59	66	63	62	30	44	44	62	53	61	0	28	1	850,000$
2	Alex Lyon	100.00	51	58	73	75	48	51	51	56	50	50	30	46	46	52	50	54	0	28	1	750,000$
Scratches
1	Spencer Knight (R)	100.00	42	52	65	78	40	43	40	46	40	40	30	44	44	43	40	47	0	20	2	925,000$

	TEAM AVERAGE	100.00	51	57	71	77	50	53	50	56	51	51	30	45	45	52	48	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Michel Therrien	66	68	71	69	86	80	61	CAN	57	2	60,000$

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

#	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	PKP	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	FW	FL	FT	S1	S2	S3
1	Jacob MacDonald	Seattle Thunderbirds (PIT)	D	10	3	13	16	-4	15	15	20	27	74	29	39	4.05%	14	280	28.04	1	3	4	12	25	0	0	2	20	1	0.00%	0	25	8	1.14	1	2	0	1	0	2
2	Matt Tennyson	Penguins	D	10	2	13	15	8	0	0	14	13	72	37	36	2.78%	19	255	25.57	1	2	3	12	20	1	1	8	14	0	0.00%	0	8	11	1.17	0	0	0	1	1	1
3	Sam Carrick	Penguins	C/RW	10	6	9	15	4	11	5	29	12	56	10	35	10.71%	6	151	15.12	2	1	3	3	6	0	0	0	0	1	56.25%	176	8	4	1.98	0	0	1	1	0	1
4	Yannick Weber	Seattle Thunderbirds (PIT)	RW/D	10	2	12	14	1	2	0	19	13	52	20	21	3.85%	26	248	24.83	2	2	4	6	26	0	0	1	19	0	0.00%	0	9	9	1.13	0	0	0	0	3	0
5	Paul Thompson	Seattle Thunderbirds (PIT)	C/LW/RW	10	3	11	14	4	23	5	12	4	50	19	38	6.00%	2	149	14.93	0	3	3	2	8	0	0	0	0	0	73.33%	15	11	1	1.88	1	0	0	0	1	0
6	Stefan Noesen	Seattle Thunderbirds (PIT)	LW/RW	2	2	2	4	-2	0	0	5	4	11	3	11	18.18%	3	37	18.53	2	2	4	3	5	0	0	0	0	0	50.00%	2	2	0	2.16	0	0	0	1	0	0
7	Logan Brown	Seattle Thunderbirds (PIT)	C	10	0	0	0	-1	2	0	2	1	14	6	11	0.00%	0	49	4.93	0	0	0	0	0	0	0	0	0	0	78.57%	42	3	0	0.00	0	0	0	0	0	0
Team Total or Average				62	18	60	78	10	53	25	101	74	329	124	191	5.47%	70	1171	18.89	8	13	21	38	93	1	1	11	54	2	61.28%	235	66	33	1.33	2	2	1	4	5	4

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Zane McIntyre	Seattle Thunderbirds (PIT)	10	6	2	2	0.873	4.29	601	0	0	43	339	179	1	0	0.000	0	10	0	0	0	0
Team Total or Average			10	6	2	2	0.873	4.29	601	0	0	43	339	179	1	0	0.000	0	10	0	0	0	0

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
Alex Limoges	Seattle Thunderbirds (PIT)	C	23	1997-09-16	Yes	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Alex Lyon	Seattle Thunderbirds (PIT)	G	28	1992-12-08	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Alex Whelan	Seattle Thunderbirds (PIT)	RW	23	1997-07-20	Yes	212 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Brett Sutter	Seattle Thunderbirds (PIT)	C/LW	34	1987-06-01	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Cole Maier	Seattle Thunderbirds (PIT)	C/LW	26	1995-06-24	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Dmitry Osipov	Seattle Thunderbirds (PIT)	D	24	1996-10-04	Yes	229 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Graeme Clarke	Seattle Thunderbirds (PIT)	RW	20	2001-04-24	Yes	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	850,833$	0$	0$	No	850,833$	850,833$
Jacob MacDonald	Seattle Thunderbirds (PIT)	D	28	1993-02-26	No	204 Lbs	6 ft0	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Link
Kody Clark	Seattle Thunderbirds (PIT)	RW	21	1999-10-13	No	185 Lbs	6 ft3	No	No	No	2	Pro & Farm	808,333$	0$	0$	No	808,333$		Link
Logan Brown	Seattle Thunderbirds (PIT)	C	23	1998-03-04	No	220 Lbs	6 ft6	No	No	No	1	Pro & Farm	875,000$	0$	0$	No			Link
Logan Stanley	Seattle Thunderbirds (PIT)	D	23	1998-05-25	No	228 Lbs	6 ft7	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Link
Paul Thompson	Seattle Thunderbirds (PIT)	C/LW/RW	32	1988-11-30	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Pavel Dorofeyev	Seattle Thunderbirds (PIT)	LW/RW	20	2000-10-26	Yes	167 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Rob O'Gara	Seattle Thunderbirds (PIT)	D	27	1993-07-06	No	214 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Ryan Schmelzer	Seattle Thunderbirds (PIT)	C	27	1993-07-28	No	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Sami Niku	Seattle Thunderbirds (PIT)	D	24	1996-10-10	No	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Link
Spencer Knight	Seattle Thunderbirds (PIT)	G	20	2001-04-18	Yes	192 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Stefan Noesen	Seattle Thunderbirds (PIT)	LW/RW	28	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
T.J. Tynan	Seattle Thunderbirds (PIT)	C/RW	29	1992-02-25	No	165 Lbs	5 ft8	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Vincent Desharnais	Seattle Thunderbirds (PIT)	D	25	1996-05-29	No	227 Lbs	6 ft7	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Vincent LoVerde	Seattle Thunderbirds (PIT)	D	32	1989-04-14	No	207 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link
Vladislav Kolyachonok	Seattle Thunderbirds (PIT)	D	20	2001-05-26	Yes	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	789,167$	0$	0$	No	789,167$	789,167$
Yannick Weber	Seattle Thunderbirds (PIT)	RW/D	32	1988-09-23	No	200 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	770,000$	0$	0$	No			Link
Zane McIntyre	Seattle Thunderbirds (PIT)	G	28	1992-08-20	No	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	850,000$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.71	200 Lbs	6 ft2	1.29	772,639$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Paul Thompson		T.J. Tynan	40	1	2	2
2	Cole Maier	Alex Limoges	Pavel Dorofeyev	30	1	2	2
3	Brett Sutter	Logan Brown	Graeme Clarke	20	1	2	2
4		Ryan Schmelzer	Alex Limoges	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Yannick Weber	Logan Stanley	30	1	2	2
3	Sami Niku	Vincent Desharnais	20	1	2	2
4	Dmitry Osipov	Vincent LoVerde	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Paul Thompson		T.J. Tynan	60	1	2	2
2	Cole Maier	Alex Limoges	Pavel Dorofeyev	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yannick Weber	Logan Stanley	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Alex Limoges	60	1	2	2
2	T.J. Tynan	Logan Brown	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yannick Weber	Logan Stanley	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Alex Limoges	40	1	2	2	Yannick Weber	Logan Stanley	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Alex Limoges	60	1	2	2
2	T.J. Tynan	Logan Brown	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yannick Weber	Logan Stanley	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Paul Thompson		T.J. Tynan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Paul Thompson		T.J. Tynan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Brett Sutter, Ryan Schmelzer, Graeme Clarke	Brett Sutter, Ryan Schmelzer	Graeme Clarke

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Sami Niku, Vincent Desharnais, Dmitry Osipov	Sami Niku	Vincent Desharnais, Dmitry Osipov

Penalty Shots
, Alex Limoges, T.J. Tynan, Yannick Weber, Logan Brown

Goalie
#1 : Zane McIntyre, #2 : Alex Lyon

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Hamilton Bulldogs	2	0	0	0	0	2	0	0	5	7	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	3	4	-1	2	0.500	5	10	15	0	0	19	21	12	0	89	150	175	145	1	55	22	8	43	1	0	0.00%	4	2	50.00%	0	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
2	Laval Rockets	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	11	22	33	0	0	19	21	12	0	93	150	175	145	1	74	27	10	38	7	5	71.43%	5	2	60.00%	0	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
3	Peoria Riverman	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	8	16	24	0	0	19	21	12	0	85	150	175	145	1	68	18	12	51	10	4	40.00%	6	2	66.67%	1	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
4	Portland Pirates	2	2	0	0	0	0	0	0	19	12	7	1	1	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	10	7	3	4	1.000	19	36	55	0	0	19	21	12	0	102	150	175	145	1	74	34	36	34	4	2	50.00%	7	5	28.57%	0	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
5	Texas Stars	2	1	1	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	7	5	2	2	0.500	9	14	23	0	0	19	21	12	0	102	150	175	145	1	68	19	38	45	12	2	16.67%	9	4	55.56%	0	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
	Total	10	6	2	0	0	2	0	0	52	43	9	5	3	1	0	0	1	0	0	25	21	4	5	3	1	0	0	1	0	0	27	22	5	14	0.700	52	98	150	0	0	19	21	12	0	471	150	175	145	1	339	120	104	211	34	13	38.24%	31	15	51.61%	1	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
	_Since Last GM Reset	10	6	2	0	0	2	0	0	52	43	9	5	3	1	0	0	1	0	0	25	21	4	5	3	1	0	0	1	0	0	27	22	5	14	0.700	52	98	150	0	0	19	21	12	0	471	150	175	145	1	339	120	104	211	34	13	38.24%	31	15	51.61%	1	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
	_Vs Conference	10	6	2	0	0	2	0	0	52	43	9	5	3	1	0	0	1	0	0	25	21	4	5	3	1	0	0	1	0	0	27	22	5	14	0.700	52	98	150	0	0	19	21	12	0	471	150	175	145	1	339	120	104	211	34	13	38.24%	31	15	51.61%	1	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79
	_Vs Division	4	6	2	0	0	2	0	0	24	19	5	2	3	1	0	0	1	0	0	11	8	3	2	3	1	0	0	1	0	0	13	11	2	14	1.750	24	46	70	0	0	19	21	12	0	191	150	175	145	1	129	56	44	77	5	2	40.00%	11	7	36.36%	0	98	251	39.04%	93	216	43.06%	95	206	46.12%	233	151	197	90	169	79

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	14	W1	52	98	150	471	339	120	104	211	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	2	0	2	0	0	52	43

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	1	0	1	0	0	25	21

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	1	0	1	0	0	27	22

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
34	13	38.24%	31	15	51.61%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
150	175	145	1	19	21	12	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
98	251	39.04%	93	216	43.06%	95	206	46.12%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
233	151	197	90	169	79

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	Link
1 - 2021-09-13	1	Seattle Thunderbirds	6	Laval Rockets	3	AW		BoxScore
2 - 2021-09-14	19	Peoria Riverman	4	Seattle Thunderbirds	7	BW		BoxScore
3 - 2021-09-15	34	Seattle Thunderbirds	3	Hamilton Bulldogs	4	AL	X	BoxScore
4 - 2021-09-16	51	Laval Rockets	4	Seattle Thunderbirds	5	BW		BoxScore
6 - 2021-09-18	80	Seattle Thunderbirds	10	Portland Pirates	7	AW		BoxScore
7 - 2021-09-19	84	Portland Pirates	5	Seattle Thunderbirds	9	BW		BoxScore
8 - 2021-09-20	109	Texas Stars	5	Seattle Thunderbirds	2	BL		BoxScore
9 - 2021-09-21	117	Seattle Thunderbirds	1	Peoria Riverman	3	AL		BoxScore
12 - 2021-09-24	143	Hamilton Bulldogs	3	Seattle Thunderbirds	2	BL	X	BoxScore
13 - 2021-09-25	160	Seattle Thunderbirds	7	Texas Stars	5	AW		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,854,333$	1,854,333$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Seattle Thunderbirds 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

Seattle Thunderbirds 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

Seattle Thunderbirds 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

Seattle Thunderbirds 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

Seattle Thunderbirds 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

	Seattle Thunderbirds
	GP: 10 \| W: 6 \| L: 2 \| OTL: 2 \| P: 14 GF: 52 \| GA: 43 \| PP%: 38.24% \| PK%: 51.61% GM : Jonathan \| Morale : 51 \| Team Overall : 57