Canadian Hockey League

Kings
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Thunder 23-15-1, 47pts	2	FINAL	6	BaronsOKC 23-16-0, 46pts

Team Stats
L2	Streak	L1
12-8-0	Home Record	14-6-0
11-7-1	Away Record	9-10-0
5-5-0	Last 10 Games	6-4-0
3.77	Goals Per Game	3.74
3.46	Goals Against Per Game	3.54
15.47%	Power Play Percentage	14.63%
83.13%	Penalty Kill Percentage	78.44%

National
28-12-3, 59pts

FINAL

Thunder
23-15-1, 47pts

Team Stats
OTL1	Streak	L2
16-3-1	Home Record	12-8-0
12-9-2	Away Record	11-7-1
6-3-1	Last 10 Games	5-5-0
3.37	Goals Per Game	3.77
2.60	Goals Against Per Game	3.46
21.80%	Power Play Percentage	15.47%
87.17%	Penalty Kill Percentage	83.13%

Nordiques
11-23-5, 27pts

Day 87

Thunder
23-15-1, 47pts

Team Stats
W2	Streak	L2
5-13-2	Home Record	12-8-0
6-10-3	Away Record	11-7-1
5-4-1	Last 10 Games	5-5-0
2.62	Goals Per Game	3.77
3.56	Goals Against Per Game	3.46
12.58%	Power Play Percentage	15.47%
84.00%	Penalty Kill Percentage	83.13%

Thunder
23-15-1, 47pts

Day 89

Senators
21-15-4, 46pts

Team Stats
L2	Streak	L1
12-8-0	Home Record	11-9-0
11-7-1	Away Record	10-6-4
5-5-0	Last 10 Games	6-3-1
3.77	Goals Per Game	2.93
3.46	Goals Against Per Game	3.08
15.47%	Power Play Percentage	18.18%
83.13%	Penalty Kill Percentage	80.65%

Thunder
23-15-1, 47pts

Day 91

EvilSharks
21-14-4, 46pts

Team Stats
L2	Streak	L1
12-8-0	Home Record	14-4-2
11-7-1	Away Record	7-10-2
5-5-0	Last 10 Games	5-5-0
3.77	Goals Per Game	3.56
3.46	Goals Against Per Game	3.49
15.47%	Power Play Percentage	15.82%
83.13%	Penalty Kill Percentage	82.45%

Team Leaders
	Goals Xavier Bourgault 4	Assists Xavier Bourgault 7

	Points Xavier Bourgault 11	Plus/Minus Xavier Bourgault -4

Team Stats
Goals For 147 3.77 GFG	Shots For 1454 37.28 Avg	Power Play Percentage 15.5% 28 GF	Offensive Zone Start 42.6%
Goals Against 135 3.46 GAA	Shots Against 1155 29.62 Avg	Penalty Kill Percentage 83.1% 28 GA	Defensive Zone Start 38.4%

Team Info
	General Manager	Steve St-Amand
	Coach	Marco Sturm
	Division	North
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	30
	Farm Team	18
	Contract Limit	48 / 50
	Prospects	39
Team History
	This Season	23-15-1 (47PTS)
	History	775-735-154 (0.466%)
	Playoff Appearances	10
	Playoff Record (W-L)	46-49
	Stanley Cup	1

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	Jesse Puljujarvi			X		100.00	99	56	74	76	77	74	64	58	40	56	61	65	40	76	75	60	30	64	0	27	4	850,000$
2	Matthew Phillips			X		100.00	46	38	88	85	40	74	64	61	40	69	53	70	99	76	75	60	30	63	0	27	1	1,050,000$
3	Taylor Raddysh			X		100.00	57	51	86	78	67	75	98	59	40	61	57	61	40	76	76	60	30	63	0	27	2	2,000,000$
4	Michael Carcone		X			100.00	61	48	76	83	46	74	79	60	40	59	61	59	40	80	77	50	30	62	0	29	1	850,000$
5	Tye Kartye		X			100.00	99	51	76	78	60	71	86	53	40	49	58	66	40	70	71	75	30	62	0	24	1	825,000$
6	Kole Lind		X			100.00	58	44	64	78	60	80	70	55	40	53	57	62	90	76	78	60	30	61	0	27	1	1,000,000$
7	Jan Mysak	X				100.00	57	60	84	77	55	77	67	50	70	49	52	65	90	68	73	80	30	59	0	23	1	1,120,000$
8	Henrik Rybinski			X		100.00	62	53	83	75	59	69	59	49	70	54	44	70	40	70	70	75	30	58	0	24	1	925,000$
9	Jordan Dumais (R)			X		100.00	47	38	86	92	42	60	50	46	40	47	46	60	40	64	62	90	30	55	0	21	3	925,000$
10	Xavier Bourgault			X		100.00	53	47	85	75	49	70	60	42	40	39	46	59	65	68	69	80	39	54	0	23	1	925,000$
11	Felix Unger Sorum (R)			X		100.00	49	39	86	91	44	70	60	38	40	40	37	50	40	62	66	95	30	52	0	20	3	925,000$
12	Jaydon Dureau		X			100.00	60	52	83	75	49	60	50	33	40	30	35	63	73	70	65	75	30	50	0	24	1	925,000$
13	Olen Zellweger				X	100.00	54	43	84	83	51	81	85	61	40	57	64	74	40	66	74	85	38	67	0	22	2	925,000$
14	Owen Pickering (R)				X	100.00	52	53	85	75	71	74	60	51	40	47	55	71	40	64	69	90	36	62	0	21	3	925,000$
15	Ryan Mast (R)				X	100.00	85	60	80	76	80	55	50	31	40	31	30	67	40	66	61	85	30	59	0	22	3	925,000$
16	Ryan O'Rourke				X	100.00	60	84	75	75	59	63	58	34	40	34	34	52	40	68	66	80	30	54	0	23	1	1,120,000$
17	Santeri Hatakka				X	100.00	67	47	69	75	56	55	50	30	40	24	36	61	40	70	63	75	30	54	0	24	1	1,020,000$
18	Santtu Kinnunen				X	100.00	50	45	83	75	48	55	50	39	40	41	37	50	40	74	65	65	30	53	0	26	1	600,000$
Scratches
1	Mark Kastelic	X				100.00	99	91	55	75	83	72	85	54	89	52	57	68	40	74	73	65	19	64	0	26	1	1,050,000$
2	Colton Dach			X		100.00	99	59	76	76	67	75	60	56	40	56	57	75	40	66	71	85	18	63	0	22	2	925,000$
3	Jalen Luypen		X			100.00	45	47	86	75	43	65	55	35	40	29	42	70	40	68	67	80	20	51	0	23	2	925,000$
4	Matvey Petrov		X			100.00	52	39	86	75	65	60	50	38	40	31	45	54	73	66	63	85	20	51	0	22	2	925,000$
5	Tucker Robertson		X			100.00	56	59	83	75	54	60	50	35	40	31	39	55	40	66	63	85	20	49	0	22	2	925,000$
6	Ethan Samson				X	100.00	54	38	78	75	70	73	68	43	40	34	51	50	40	66	70	85	20	56	0	22	2	925,000$

	TEAM AVERAGE					100.00	63	52	80	78	58	68	64	46	45	45	48	62	50	70	69	76	28	58

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	Karel Vejmelka	100.00	78	99	99	98	79	78	82	81	84	82	88	80	79	50	40	82	0	29	2	1,500,000$
2	Devon Levi	100.00	81	71	78	84	69	65	63	65	65	63	99	70	68	75	40	68	0	24	1	750,000$
Scratches
1	Trent Miner	100.00	87	66	71	88	65	62	65	63	65	64	40	70	66	75	20	67	0	24	1	750,000$
2	Dennis Hildeby	100.00	76	57	60	99	59	56	54	57	59	57	99	70	63	75	20	62	0	24	1	750,000$
3	Nico Daws	100.00	79	61	64	94	50	50	50	50	50	50	70	72	61	70	20	59	0	25	1	950,000$
4	Gage Alexander	100.00	75	50	60	97	50	50	50	50	50	50	40	68	59	80	20	57	0	23	1	925,000$

	TEAM AVERAGE	100.00	79	67	72	93	62	60	61	61	62	61	73	72	66	71	27	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	70	69	67	59	82	77	76	GER	47	3	200,000$

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	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Xavier Bourgault	Thunder (Lak)	RW	39	4	7	11	-4	10	0	18	61	63	14	35	6.35%	10	320	8.21	0	0	0	0	0	0	0	0	0	0	0	0	55.00%	20	0	0	0	0	0.69	1	1	0	0	0	2	3	3
Team Total or Average				39	4	7	11	-4	10	0	18	61	63	14	35	6.35%	10	320	8.21	0	0	0	0	0	0	0	0	0	0	0	0	55.00%	20	0	0	0	0	0.69	1	1	0	0	0	2	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

#	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
Team Total or Average							0.000	0.00	0								0.000

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	Link
Colton Dach	Thunder (Lak)	RW	22	2003-01-04	No	196 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Dennis Hildeby	Thunder (Lak)	G	24	2001-08-19	No	222 Lbs	6 ft7	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA				Link / NHL Link
Devon Levi	Thunder (Lak)	G	24	2001-12-27	No	192 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA				Link / NHL Link
Ethan Samson	Thunder (Lak)	D	22	2003-08-23	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Felix Unger Sorum	Thunder (Lak)	RW	20	2005-09-14	Yes	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA		Link / NHL Link
Gage Alexander	Thunder (Lak)	G	23	2002-07-02	No	205 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA				Link / NHL Link
Henrik Rybinski	Thunder (Lak)	RW	24	2001-06-26	No	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA				Link / NHL Link
Jalen Luypen	Thunder (Lak)	LW	23	2002-06-28	No	171 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Jan Mysak	Thunder (Lak)	C	23	2002-06-24	No	192 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,120,000$	0$	0$	No	RFA				Link / NHL Link
Jaydon Dureau	Thunder (Lak)	LW	24	2001-01-20	No	176 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA				Link / NHL Link
Jesse Puljujarvi	Thunder (Lak)	RW	27	1998-05-07	No	216 Lbs	6 ft4	Yes	No	No	4	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	850,000$	UFA	Link / NHL Link
Jordan Dumais	Thunder (Lak)	RW	21	2004-04-15	Yes	174 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA		Link / NHL Link
Karel Vejmelka	Thunder (Lak)	G	29	1996-05-25	No	224 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	UFA			Link / NHL Link
Kole Lind	Thunder (Lak)	LW	27	1998-10-16	No	193 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No	UFA				Link / NHL Link
Mark Kastelic	Thunder (Lak)	C	26	1999-03-11	No	227 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,050,000$	0$	0$	No	RFA				Link / NHL Link
Matthew Phillips	Thunder (Lak)	RW	27	1998-04-06	No	160 Lbs	5 ft8	No	No	No	1	Pro & Farm	1,050,000$	0$	0$	No	UFA				Link / NHL Link
Matvey Petrov	Thunder (Lak)	LW	22	2003-03-12	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Michael Carcone	Thunder (Lak)	LW	29	1996-05-19	No	182 Lbs	5 ft9	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	UFA				Link / NHL Link
Nico Daws	Thunder (Lak)	G	25	2000-12-22	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	950,000$	0$	0$	No	RFA				Link / NHL Link
Olen Zellweger	Thunder (Lak)	D	22	2003-09-10	No	187 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Owen Pickering	Thunder (Lak)	D	21	2004-01-27	Yes	200 Lbs	6 ft5	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA		Link / NHL Link
Ryan Mast	Thunder (Lak)	D	22	2003-01-14	Yes	217 Lbs	6 ft5	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA		Link / NHL Link
Ryan O'Rourke	Thunder (Lak)	D	23	2002-05-16	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,120,000$	0$	0$	No	RFA				Link / NHL Link
Santeri Hatakka	Thunder (Lak)	D	24	2001-01-15	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,020,000$	0$	0$	No	RFA				Link / NHL Link
Santtu Kinnunen	Thunder (Lak)	D	26	1999-03-25	No	165 Lbs	6 ft2	No	No	No	1	Pro & Farm	600,000$	0$	0$	No	RFA				Link / NHL Link
Taylor Raddysh	Thunder (Lak)	RW	27	1998-02-18	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	UFA			Link / NHL Link
Trent Miner	Thunder (Lak)	G	24	2001-02-05	No	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA				Link / NHL Link
Tucker Robertson	Thunder (Lak)	LW	22	2003-06-22	No	189 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Tye Kartye	Thunder (Lak)	LW	24	2001-04-30	No	202 Lbs	5 ft11	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA				Link / NHL Link
Xavier Bourgault	Thunder (Lak)	RW	23	2002-10-22	No	179 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	24.00	194 Lbs	6 ft1	1.63	971,167$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3			Xavier Bourgault	20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
Xavier Bourgault, ,	Xavier Bourgault,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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	BaronsOKC	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	65	47	32	4	50	512	458	475	12	32	10	4	19	5	0	0.00%	0	0	0.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
2	Checkers	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	65	47	32	4	41	512	458	475	12	9	2	16	24	9	0	0.00%	8	1	87.50%	1	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
3	Cyclones	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	5	2	2	1.000	7	13	20	0	0	65	47	32	4	41	512	458	475	12	33	10	15	29	4	1	25.00%	5	1	80.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
4	Draveurs	1	0	1	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	65	47	32	4	42	512	458	475	12	56	7	10	29	6	0	0.00%	5	3	40.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
5	EvilSharks	3	2	1	0	0	0	0	0	14	10	4	2	2	0	0	0	0	0	0	11	5	6	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	14	28	42	0	0	65	47	32	4	135	512	458	475	12	97	26	22	89	15	5	33.33%	11	1	90.91%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
6	Griffins	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	65	47	32	4	43	512	458	475	12	38	6	6	23	5	0	0.00%	3	1	66.67%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
7	HC	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	65	47	32	4	31	512	458	475	12	38	8	10	20	5	0	0.00%	4	3	25.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
8	IceBears	1	0	0	0	1	0	0	0	6	5	1	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	65	47	32	4	30	512	458	475	12	41	16	8	28	9	1	11.11%	4	1	75.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
9	IceHawks	5	4	1	0	0	0	0	0	19	13	6	2	1	1	0	0	0	0	0	6	6	0	3	3	0	0	0	0	0	0	13	7	6	8	0.800	19	37	56	0	0	65	47	32	4	195	512	458	475	12	116	40	42	126	15	4	26.67%	21	2	90.48%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
10	IceHogs	3	1	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.333	10	19	29	0	1	65	47	32	4	135	512	458	475	12	101	19	18	80	18	2	11.11%	8	0	100.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
11	Magics	4	3	0	0	1	0	0	0	14	10	4	2	1	0	0	1	0	0	0	7	5	2	2	2	0	0	0	0	0	0	7	5	2	8	1.000	14	25	39	0	0	65	47	32	4	132	512	458	475	12	111	38	40	86	20	6	30.00%	20	3	85.00%	1	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
12	Mighty Ducks	1	1	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	9	6	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	18	27	0	0	65	47	32	4	46	512	458	475	12	40	10	10	28	4	1	25.00%	5	3	40.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
13	National	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	65	47	32	4	36	512	458	475	12	39	7	14	28	3	0	0.00%	7	1	85.71%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
14	Oceanic	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	65	47	32	4	33	512	458	475	12	16	5	10	33	3	1	33.33%	5	0	100.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
15	Pantheres	2	1	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	9	16	25	0	0	65	47	32	4	67	512	458	475	12	76	36	39	47	8	4	50.00%	13	3	76.92%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
16	Remparts	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	65	47	32	4	39	512	458	475	12	32	19	16	36	2	0	0.00%	7	0	100.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
17	Sagueneens	3	2	1	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	0	1	-1	4	0.667	7	13	20	0	0	65	47	32	4	89	512	458	475	12	53	9	32	67	13	0	0.00%	15	1	93.33%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
18	Senators	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	7	0	2	0.500	7	12	19	0	0	65	47	32	4	62	512	458	475	12	49	17	8	37	14	0	0.00%	3	0	100.00%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
19	Vikings	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	65	47	32	4	81	512	458	475	12	57	27	16	62	8	1	12.50%	6	2	66.67%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
20	Wolves	4	1	1	0	0	1	1	0	16	16	0	2	1	1	0	0	0	0	0	8	8	0	2	0	0	0	0	1	1	0	8	8	0	5	0.625	16	27	43	0	0	65	47	32	4	126	512	458	475	12	121	45	32	94	15	2	13.33%	16	2	87.50%	0	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
	Total	39	20	15	0	2	1	1	0	147	135	12	20	10	8	0	2	0	0	0	80	69	11	19	10	7	0	0	1	1	0	67	66	1	47	0.603	147	275	422	0	1	65	47	32	4	1454	512	458	475	12	1155	357	368	985	181	28	15.47%	166	28	83.13%	2	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
	_Since Last GM Reset	39	20	15	0	2	1	1	0	147	135	12	20	10	8	0	2	0	0	0	80	69	11	19	10	7	0	0	1	1	0	67	66	1	47	0.603	147	275	422	0	1	65	47	32	4	1454	512	458	475	12	1155	357	368	985	181	28	15.47%	166	28	83.13%	2	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
	_Vs Conference	29	17	9	0	1	1	1	0	107	86	21	14	9	4	0	1	0	0	0	54	39	15	15	8	5	0	0	1	1	0	53	47	6	39	0.672	107	198	305	0	1	65	47	32	4	1053	512	458	475	12	817	248	263	710	129	24	18.60%	122	14	88.52%	1	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
	_Vs Division	13	13	6	0	1	1	1	0	44	35	9	5	8	3	0	1	0	0	0	18	16	2	8	5	3	0	0	1	1	0	26	19	7	31	1.192	44	80	124	0	0	65	47	32	4	442	512	458	475	12	332	84	122	299	70	7	10.00%	59	9	84.75%	2	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
39	47	L2	147	275	422	1454	1155	357	368	985	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	20	15	2	1	1	0	147	135

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	10	8	2	0	0	0	80	69

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	10	7	0	1	1	0	67	66

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
181	28	15.47%	166	28	83.13%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
512	458	475	12	65	47	32	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
599	1380	43.41%	533	1244	42.85%	266	617	43.11%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
906	649	989	275	452	214

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
1	4	IceHawks	5	Thunder	2	BL			BoxScore
6	37	Wolves	4	Thunder	5	BW			BoxScore
9	58	Thunder	4	IceHawks	3	AW			BoxScore
10	66	Sagueneens	1	Thunder	3	BW			BoxScore
12	77	Thunder	0	Sagueneens	1	AL			BoxScore
16	99	Thunder	4	Magics	3	AW			BoxScore
17	109	IceHogs	0	Thunder	2	BW			BoxScore
20	130	Magics	3	Thunder	4	BW	X		BoxScore
22	146	Thunder	3	Wolves	2	AW	X	X	BoxScore
24	160	Vikings	3	Thunder	2	BL			BoxScore
25	164	Thunder	4	IceHogs	5	AL			BoxScore
29	188	EvilSharks	2	Thunder	6	BW			BoxScore
31	201	Thunder	3	EvilSharks	5	AL			BoxScore
33	221	Wolves	4	Thunder	3	BL			BoxScore
34	228	Thunder	1	Senators	5	AL			BoxScore
35	235	Thunder	3	IceHawks	2	AW			BoxScore
39	263	Sagueneens	2	Thunder	4	BW			BoxScore
41	281	Mighty Ducks	6	Thunder	9	BW			BoxScore
43	295	Thunder	5	Griffins	3	AW			BoxScore
45	305	Thunder	6	IceHawks	2	AW			BoxScore
47	322	EvilSharks	3	Thunder	5	BW			BoxScore
50	346	Thunder	6	Senators	2	AW			BoxScore
51	354	Thunder	3	Pantheres	5	AL			BoxScore
53	364	IceBears	5	Thunder	6	BW	X		BoxScore
56	388	Pantheres	3	Thunder	6	BW			BoxScore
58	403	Thunder	1	HC	6	AL			BoxScore
59	415	Vikings	3	Thunder	2	BL			BoxScore
62	432	Thunder	5	Wolves	6	AL	X		BoxScore
64	447	Magics	2	Thunder	3	BW			BoxScore
65	461	Thunder	3	Magics	2	AW			BoxScore
68	478	IceHogs	5	Thunder	4	BL			BoxScore
70	497	Thunder	3	Oceanic	1	AW			BoxScore
72	509	Draveurs	8	Thunder	4	BL			BoxScore
74	528	Thunder	4	Checkers	2	AW			BoxScore
76	539	Thunder	7	Cyclones	5	AW			BoxScore
77	547	Remparts	5	Thunder	3	BL			BoxScore
80	570	IceHawks	1	Thunder	4	BW			BoxScore
83	591	Thunder	2	BaronsOKC	6	AL			BoxScore
84	603	National	4	Thunder	3	BL			BoxScore
87	623	Nordiques	-	Thunder	-
89	641	Thunder	-	Senators	-
91	656	Thunder	-	EvilSharks	-
92	664	IceHawks	-	Thunder	-
95	685	Vikings	-	Thunder	-
99	712	Thunder	-	Magics	-
101	720	Sagueneens	-	Thunder	-
103	739	Thunder	-	HC	-
105	749	Darkness	-	Thunder	-
108	768	Thunder	-	Roadrunners	-
109	782	Bandits	-	Thunder	-
113	811	Remparts	-	Thunder	-
115	821	Thunder	-	EvilSharks	-
117	834	Thunder	-	Wolves	-
118	846	Oceanic	-	Thunder	-
120	859	Thunder	-	IceBears	-
123	875	Thunder	-	Eagles	-
124	883	BaronsOKC	-	Thunder	-
127	906	IceHawks	-	Thunder	-
129	922	Thunder	-	Darkness	-
131	936	Thunder	-	Iceberg	-
132	944	Pantheres	-	Thunder	-
134	967	IceHogs	-	Thunder	-
136	980	Thunder	-	Spiders	-
138	993	Thunder	-	IceHawks	-
140	1005	Draveurs	-	Thunder	-
142	1022	Thunder	-	National	-
144	1034	Thunder	-	IceHogs	-
145	1043	Magics	-	Thunder	-
147	1063	Senators	-	Thunder	-
149	1074	Thunder	-	BigBadStars	-
152	1097	Wolves	-	Thunder	-
156	1121	Thunder	-	Iceberg	-
157	1132	Spiders	-	Thunder	-
160	1153	EvilSharks	-	Thunder	-
162	1165	Thunder	-	Spiders	-
164	1183	Thunder	-	WolfPack	-
166	1192	Griffins	-	Thunder	-
168	1213	BigBadStars	-	Thunder	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	1220	Thunder	-	Sagueneens	-
173	1240	Thunder	-	IceHogs	-
175	1249	SilverKnights	-	Thunder	-
176	1254	Thunder	-	Sagueneens	-

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
1	Michael DelZotto	1405	268	449	717	-177	1218	2093	1917	2774	9.66%	853	23821	16.95	70	114	184	358	5	7	12	58	34	18	48.21%	3	0.60	10	36
2	Danny Kristo	744	156	157	313	-30	212	395	1048	1440	10.83%	145	10272	13.81	15	21	36	93	2	0	2	22	25	11	41.06%	3	0.61	10	16
3	Patrick Maroon	362	92	134	226	17	433	1172	741	769	11.96%	46	7301	20.17	14	41	55	139	1	2	3	9	20	6	46.06%	1	0.62	7	36
4	Matt Halischuk	380	107	100	207	50	148	255	450	907	11.80%	76	5285	13.91	17	29	46	95	0	1	1	17	24	10	34.92%	1	0.78	2	11
5	Jayce Hawryluk	325	79	101	180	-73	242	787	745	656	12.04%	56	6561	20.19	20	39	59	129	2	2	4	16	12	2	41.76%	0	0.55	5	24

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
1	Chris Mason	467	254	169	42	0.899	2.58	27974	37	37	1201	11871	2180	22	7	0.746	213
2	Michael Leighton	158	72	66	20	0.895	2.40	9416	18	13	376	3570	0	4	4	0.767	73
3	Niklas Svedberg	131	52	60	14	0.886	2.53	7661	4	14	323	2836	0	1	3	0.778	54
4	Carey Price	73	50	19	4	0.904	3.03	4356	6	2	220	2286	1023	6	0	0.824	17
5	Dan Cloutier	92	40	37	5	0.885	3.74	4976	2	1	310	2695	1362	1	0	0.711	38

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
Regular Season
2017	82	24	37	0	11	1	5	4	279	314	-35	41	11	20	0	5	1	1	3	128	155	-27	41	13	17	0	6	0	4	1	151	159	-8	71	279	458	737	0	1	0	71	112	80	2852	0	879	1024	916	2695	861	1194	2144	330	69	20.91%	266	73	72.56%	5	1001	2102	47.62%	818	1799	45.47%	742	1474	50.34%	1745	937	1822	855	1592	804
2018	82	49	21	0	3	3	3	3	320	255	65	41	27	7	0	2	2	2	1	166	120	46	41	22	14	0	1	1	1	2	154	135	19	107	320	515	835	0	2	0	71	139	104	2985	0	948	1113	890	2573	856	1042	2194	260	60	23.08%	222	43	80.63%	4	1126	2041	55.17%	1008	1895	53.19%	786	1429	55.00%	1764	979	1622	780	1574	775
2019	82	42	26	0	5	4	4	1	323	261	62	41	23	13	0	1	1	3	0	163	126	37	41	19	13	0	4	3	1	1	160	135	25	98	323	537	860	3	3	0	77	118	119	2983	0	908	1063	988	2565	878	1337	2222	285	69	24.21%	218	64	70.64%	6	1208	2216	54.51%	956	1930	49.53%	654	1332	49.10%	1868	1081	1567	754	1523	762
2020	82	32	26	0	4	4	9	7	270	257	13	41	16	14	0	1	1	4	5	140	141	-1	41	16	12	0	3	3	5	2	130	116	14	76	270	421	691	1	1	0	68	99	90	2676	0	803	952	886	2547	810	1233	2097	225	59	26.22%	239	50	79.08%	1	1006	2008	50.10%	1000	1994	50.15%	635	1250	50.80%	1787	982	1622	788	1608	804
2021	82	40	25	0	3	2	4	8	199	164	35	41	22	12	0	1	0	1	5	98	74	24	41	18	13	0	2	2	3	3	101	90	11	88	199	367	566	1	11	0	76	68	48	2132	0	709	709	669	1665	489	820	1764	388	51	13.14%	335	56	83.28%	1	1289	2613	49.33%	1070	2360	45.34%	534	1113	47.98%	1986	1394	1999	601	1005	501
2022	81	36	33	0	1	3	4	4	151	148	3	40	19	15	0	1	2	2	1	81	70	11	41	17	18	0	0	1	2	3	70	78	-8	77	151	266	417	2	13	0	56	36	54	1667	0	567	548	543	1652	457	855	1649	383	38	9.92%	370	39	89.46%	2	1330	2358	56.40%	1163	2315	50.24%	556	1079	51.53%	2013	1401	1885	589	1011	511
2023	82	31	30	0	4	4	11	2	243	202	41	41	17	13	0	3	1	6	1	123	90	33	41	14	17	0	1	3	5	1	120	112	8	74	243	421	664	0	5	0	103	57	68	1996	0	662	637	659	1890	540	1125	1981	424	61	14.39%	445	70	84.27%	5	1363	2507	54.37%	1216	2460	49.43%	633	1195	52.97%	2124	1524	1906	582	976	494
2024	82	29	38	0	4	0	3	8	278	295	-17	41	16	17	0	2	0	1	5	140	140	0	41	13	21	0	2	0	2	3	138	155	-17	80	278	518	796	2	4	0	105	91	75	2880	0	959	940	925	2237	678	934	2027	409	75	18.34%	365	75	79.45%	3	1300	2909	44.69%	1113	2549	43.66%	549	1356	40.49%	1889	1346	2119	604	970	458
2025	81	33	38	0	0	4	4	2	271	264	7	40	18	17	0	0	1	3	1	137	119	18	41	15	21	0	0	3	1	1	134	145	-11	80	271	504	775	0	5	0	100	82	85	2738	0	918	923	874	2297	614	737	2049	373	73	19.57%	307	62	79.80%	1	1373	2826	48.58%	1162	2513	46.24%	572	1274	44.90%	1946	1420	2032	563	917	444
2026	82	35	34	0	2	2	4	5	204	192	12	41	16	16	0	2	1	3	3	92	88	4	41	19	18	0	0	1	1	2	112	104	8	89	204	352	556	1	12	0	68	76	54	1820	0	601	594	602	1807	539	824	1843	370	63	17.03%	336	39	88.39%	2	1217	2340	52.01%	1177	2334	50.43%	621	1162	53.44%	2061	1438	1894	595	1018	520
2027	82	35	30	0	3	1	6	7	256	226	30	41	16	18	0	2	0	2	3	124	101	23	41	19	12	0	1	1	4	4	132	125	7	96	256	464	720	2	4	0	86	88	73	2359	0	729	738	851	2120	587	758	1744	361	66	18.28%	313	46	85.30%	3	1428	2619	54.52%	1344	2484	54.11%	655	1271	51.53%	2055	1478	1938	588	1002	500
2030	82	22	45	0	1	7	4	3	199	262	-63	41	9	21	0	0	5	4	2	104	134	-30	41	13	24	0	1	2	0	1	95	128	-33	64	199	347	546	1	4	0	70	63	61	1689	0	532	547	597	1960	551	837	1864	395	59	14.94%	371	68	81.67%	3	1103	2293	48.10%	1079	2259	47.76%	625	1266	49.37%	2099	1474	1841	585	1025	529
2031	82	26	41	0	1	3	3	8	143	208	-65	41	17	17	0	0	1	2	4	77	97	-20	41	9	24	0	1	2	1	4	66	111	-45	71	143	254	397	2	8	0	50	52	37	1400	0	461	454	467	1794	511	666	1703	405	65	16.05%	290	45	84.48%	1	1059	2080	50.91%	1121	2287	49.02%	556	1172	47.44%	1967	1351	1966	613	1046	520
2032	82	12	53	0	1	5	7	4	135	247	-112	41	7	24	0	1	4	2	3	73	124	-51	41	5	29	0	0	1	5	1	62	123	-61	49	135	228	363	2	1	0	49	34	44	1334	0	479	419	415	1957	569	731	1695	320	38	11.88%	308	42	86.36%	3	1304	2126	61.34%	1295	2202	58.81%	701	1206	58.13%	1981	1349	1952	605	1055	534
2033	82	25	42	0	2	4	7	2	206	245	-39	41	12	22	0	1	2	3	1	104	121	-17	41	13	20	0	1	2	4	1	102	124	-22	74	206	354	560	0	4	0	65	63	69	1712	0	556	563	573	2145	647	756	1859	337	45	13.35%	322	53	83.54%	5	1187	2255	52.64%	1249	2372	52.66%	673	1242	54.19%	2038	1427	1911	586	1021	520
2034	82	33	34	0	2	4	5	4	208	199	9	41	16	15	0	1	3	3	3	105	100	5	41	17	19	0	1	1	2	1	103	99	4	88	208	360	568	0	10	0	78	65	58	1673	0	552	566	543	2058	599	787	2037	344	63	18.31%	344	32	90.70%	3	1082	2199	49.20%	1275	2501	50.98%	624	1196	52.17%	2099	1468	1849	579	1034	539
2035	82	10	61	0	2	2	2	5	136	276	-140	41	6	29	0	1	2	1	2	74	135	-61	41	4	32	0	1	0	1	3	62	141	-79	35	136	231	367	2	2	0	44	40	48	1355	0	417	462	459	2348	621	837	2001	330	41	12.42%	358	73	79.61%	2	957	2023	47.31%	1102	2397	45.97%	583	1211	48.14%	1972	1358	1976	583	1012	512
2036	80	18	43	0	4	10	4	1	217	284	-67	40	10	23	0	2	3	2	0	108	129	-21	40	8	20	0	2	7	2	1	109	155	-46	63	217	385	602	1	3	0	66	68	75	1931	0	580	633	684	2322	691	708	1671	342	71	20.76%	284	59	79.23%	2	1273	2304	55.25%	1292	2446	52.82%	689	1252	55.03%	1853	1291	2015	582	990	483
2037	82	27	38	0	3	4	2	8	197	229	-32	41	16	16	0	2	3	1	3	101	100	1	41	11	22	0	1	1	1	5	96	129	-33	76	197	355	552	1	7	73	56	63	7	1702	552	583	546	53	2105	611	687	1858	357	51	14.29%	277	45	83.75%	0	1050	2205	47.62%	1180	2462	47.93%	587	1214	48.35%	2043	1456	1934	583	1008	508
2038	78	38	25	0	6	3	2	4	306	268	38	39	19	12	0	3	1	1	3	147	128	19	39	19	13	0	3	2	1	1	159	140	19	99	306	581	887	2	1	120	101	77	9	2790	928	923	908	53	2327	661	749	2032	331	68	20.54%	320	51	84.06%	3	1130	2560	44.14%	1045	2487	42.02%	533	1276	41.77%	1789	1286	2018	556	918	434
2039	39	20	15	0	2	1	1	0	147	135	12	20	10	8	0	2	0	0	0	80	69	11	19	10	7	0	0	1	1	0	67	66	1	47	147	275	422	0	1	65	47	32	4	1454	512	458	475	12	1155	357	368	985	181	28	15.47%	166	28	83.13%	2	599	1380	43.41%	533	1244	42.85%	266	617	43.11%	906	649	989	275	452	214
Total Regular Season	1671	617	735	0	64	71	94	90	4688	4931	-243	835	323	349	0	33	34	47	49	2365	2361	4	836	294	386	0	31	37	47	41	2323	2570	-247	1602	4688	8193	12881	23	102	258	1507	1523	1262	44128	1992	14224	14814	12659	44219	13127	17985	39419	7150	1213	16.97%	6456	1113	82.76%	57	24385	47964	50.84%	23198	47290	49.05%	12774	25587	49.92%	39997	27098	38866	12855	22768	11376
Playoff
2018	22	16	6	0	0	0	0	0	83	60	23	12	9	3	0	0	0	0	0	45	35	10	10	7	3	0	0	0	0	0	38	25	13	32	83	132	215	0	0	0	26	33	21	862	0	287	321	241	721	250	284	590	60	19	31.67%	66	14	78.79%	1	345	621	55.56%	309	570	54.21%	206	359	57.38%	482	276	449	205	403	199
2019	20	12	8	0	0	0	0	0	67	55	12	11	7	4	0	0	0	0	0	36	32	4	9	5	4	0	0	0	0	0	31	23	8	24	67	109	176	1	1	0	8	36	20	737	0	215	275	234	668	215	270	588	67	13	19.40%	50	12	76.00%	0	252	541	46.58%	224	467	47.97%	126	318	39.62%	458	262	388	180	368	184
2020	5	1	4	0	0	0	0	0	12	17	-5	2	1	1	0	0	0	0	0	6	6	0	3	0	3	0	0	0	0	0	6	11	-5	2	12	22	34	0	0	0	2	5	4	161	0	48	50	60	186	62	82	106	14	1	7.14%	20	6	70.00%	0	66	127	51.97%	70	145	48.28%	34	74	45.95%	107	60	115	49	91	44
2021	7	3	4	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	5	7	-2	4	2	2	0	0	0	0	0	9	9	0	6	14	25	39	0	0	0	5	3	5	171	0	44	45	55	188	54	107	188	46	6	13.04%	41	5	87.80%	0	166	257	64.59%	150	247	60.73%	76	130	58.46%	210	149	191	58	102	53
2023	6	2	4	0	0	0	0	0	17	19	-2	3	1	2	0	0	0	0	0	5	8	-3	3	1	2	0	0	0	0	0	12	11	1	4	17	28	45	0	0	0	6	5	6	184	0	62	64	55	217	61	89	172	24	8	33.33%	34	8	76.47%	0	108	199	54.27%	118	220	53.64%	49	87	56.32%	157	114	145	40	70	34
2024	5	1	4	0	0	0	0	0	12	21	-9	2	1	1	0	0	0	0	0	8	10	-2	3	0	3	0	0	0	0	0	4	11	-7	2	12	21	33	0	0	0	4	3	5	154	0	47	69	38	120	46	47	113	30	4	13.33%	16	5	68.75%	0	91	183	49.73%	65	142	45.77%	29	69	42.03%	112	79	129	37	58	28
2025	12	5	7	0	0	0	0	0	39	50	-11	5	3	2	0	0	0	0	0	16	14	2	7	2	5	0	0	0	0	0	23	36	-13	10	39	75	114	0	0	0	19	12	8	332	0	111	120	101	314	98	135	277	48	8	16.67%	55	9	83.64%	0	130	332	39.16%	137	355	38.59%	64	191	33.51%	226	155	356	90	136	57
2026	4	0	4	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	3	7	-4	0	7	12	19	0	0	0	4	2	1	56	0	19	16	13	82	28	37	86	20	2	10.00%	15	2	86.67%	0	55	112	49.11%	49	111	44.14%	25	68	36.76%	96	64	111	34	55	26
2027	7	3	4	0	0	0	0	0	24	24	0	3	1	2	0	0	0	0	0	12	12	0	4	2	2	0	0	0	0	0	12	12	0	6	24	41	65	0	0	0	13	5	6	274	0	77	79	67	278	95	70	210	39	4	10.26%	29	5	82.76%	1	150	280	53.57%	150	296	50.68%	63	119	52.94%	221	162	190	53	99	52
2038	7	3	4	0	0	0	0	0	29	29	0	4	1	3	0	0	0	0	0	18	20	-2	3	2	1	0	0	0	0	0	11	9	2	6	29	54	83	0	0	9	9	9	2	260	91	78	81	10	273	75	68	194	27	3	11.11%	34	6	82.35%	1	133	256	51.95%	110	261	42.15%	55	126	43.65%	172	122	179	48	83	41
Total Playoff	95	46	49	0	0	0	0	0	304	305	-1	47	25	22	0	0	0	0	0	155	151	4	48	21	27	0	0	0	0	0	149	154	-5	92	304	519	823	1	1	9	96	113	78	3191	91	988	1120	874	3047	984	1189	2524	375	68	18.13%	360	72	80.00%	3	1496	2908	51.44%	1382	2814	49.11%	727	1541	47.18%	2246	1448	2258	798	1468	723

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	PKP	PKS	GW	GT	FO%	HT	P/20
1	Sergei Zubov	37	10	39	49	11	28	56	92	176	5.68%	64	1037	28.04	10	10	20	28	0	0	3	3	0	0.00%	0	0.94
2	Guillaume Latendresse	23	20	21	41	21	21	74	40	155	12.90%	8	536	23.33	3	6	9	15	0	0	3	0	2	41.49%	1	1.53
3	David Clarkson	45	15	17	32	0	151	119	53	149	10.07%	11	695	15.46	2	6	8	10	0	0	3	1	2	34.15%	0	0.92
4	David Steckel	22	12	18	30	19	44	40	59	60	20.00%	16	464	21.11	3	6	9	10	1	1	1	3	0	61.30%	0	1.29
5	Michael DelZotto	47	5	24	29	15	51	111	75	94	5.32%	62	1076	22.90	2	2	4	15	0	0	2	2	0	0.00%	0	0.54

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
1	Chris Mason	51	23	19	8	0.901	2.96	3082	17	1	152	1531	380	3	1
2	Carey Price	22	16	5	1	0.917	2.70	1334	2	0	60	721	315	2	0
3	Michael Leighton	7	3	1	3	0.914	2.82	511	0	0	24	278	0	0	0
4	Vadim Tarasov	2	0	1	0	0.903	3.60	50	0	0	3	31	17	0	0
5	Niklas Svedberg	4	0	3	1	0.829	3.19	263	0	0	14	82	0	2	0