Canadian Hockey League

Jets
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Pantheres 11-4-2, 24pts	7	FINAL	6	Sagueneens 6-9-1, 13pts

Team Stats
W3	Streak	L2
3-3-2	Home Record	2-6-0
8-1-0	Away Record	4-3-1
6-3-1	Last 10 Games	3-6-1
4.24	Goals Per Game	2.94
3.18	Goals Against Per Game	3.44
18.29%	Power Play Percentage	25.76%
76.67%	Penalty Kill Percentage	79.45%

Sagueneens
6-9-1, 13pts

FINAL

Pantheres
11-4-2, 24pts

Team Stats
L2	Streak	W3
2-6-0	Home Record	3-3-2
4-3-1	Away Record	8-1-0
3-6-1	Last 10 Games	6-3-1
2.94	Goals Per Game	4.24
3.44	Goals Against Per Game	3.18
25.76%	Power Play Percentage	18.29%
79.45%	Penalty Kill Percentage	76.67%

Pantheres
11-4-2, 24pts

Day 36

Checkers
4-11-1, 9pts

Team Stats
W3	Streak	SOL1
3-3-2	Home Record	2-5-1
8-1-0	Away Record	2-6-0
6-3-1	Last 10 Games	2-7-1
4.24	Goals Per Game	2.25
3.18	Goals Against Per Game	3.19
18.29%	Power Play Percentage	4.62%
76.67%	Penalty Kill Percentage	87.34%

Mighty Ducks
8-8-0, 16pts

Day 38

Pantheres
11-4-2, 24pts

Team Stats
L1	Streak	W3
4-4-0	Home Record	3-3-2
4-4-0	Away Record	8-1-0
4-6-0	Last 10 Games	6-3-1
2.44	Goals Per Game	4.24
3.00	Goals Against Per Game	3.18
15.63%	Power Play Percentage	18.29%
86.30%	Penalty Kill Percentage	76.67%

Pantheres
11-4-2, 24pts

Day 40

WolfPack
5-10-1, 11pts

Team Stats
W3	Streak	OTL1
3-3-2	Home Record	2-6-0
8-1-0	Away Record	3-4-1
6-3-1	Last 10 Games	4-5-1
4.24	Goals Per Game	2.19
3.18	Goals Against Per Game	3.19
18.29%	Power Play Percentage	13.85%
76.67%	Penalty Kill Percentage	88.33%

Team Leaders
	Goals Nate Schmidt 1	Assists Nate Schmidt 4

	Points Nate Schmidt 5	Plus/Minus Nate Schmidt -7

Team Stats
Goals For 72 4.24 GFG	Shots For 678 39.88 Avg	Power Play Percentage 18.3% 15 GF	Offensive Zone Start 43.8%
Goals Against 54 3.18 GAA	Shots Against 474 27.88 Avg	Penalty Kill Percentage 76.7% 14 GA	Defensive Zone Start 36.2%

Team Info
	General Manager	Marco Lemay
	Coach	Trent Vogelhuber
	Division	Atlantic
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	28
	Farm Team	20
	Contract Limit	48 / 50
	Prospects	94
Team History
	This Season	11-4-2 (24PTS)
	History	755-656-140 (0.487%)
	Playoff Appearances	5
	Playoff Record (W-L)	15-21
	Stanley Cup	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	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	Georgii Merkulov		X			100.00	39	38	84	86	47	76	66	65	40	63	67	58	40	72	74	70	24	63	0	24	1	750,000$
2	Adam Klapka			X		100.00	90	85	62	75	90	74	64	54	40	52	56	68	40	72	73	70	24	62	0	24	2	975,000$
3	Mackie Samoskevich (R)		X			100.00	49	42	82	91	55	71	61	61	40	62	59	63	40	68	70	80	24	62	0	22	3	925,000$
4	James Malatesta (R)		X			100.00	99	61	81	82	51	72	51	60	40	55	65	60	40	66	69	85	22	61	0	21	3	925,000$
5	Jakub Vrana		X			100.00	50	46	82	80	56	75	57	57	40	56	58	57	76	80	78	50	24	60	0	28	2	1,000,000$
6	Brad Lambert		X			100.00	47	43	78	82	53	73	63	60	40	64	57	54	40	66	70	85	24	60	0	21	2	925,000$
7	Lukas Rousek			X		100.00	48	40	90	78	45	72	53	50	40	51	50	69	40	74	73	65	18	57	0	25	1	750,000$
8	Xavier Simoneau	X				100.00	46	49	48	80	41	62	52	54	70	63	44	63	40	70	66	75	24	57	0	23	2	925,000$
9	Riley Kidney (R)	X				100.00	51	50	77	89	51	74	64	38	70	36	39	51	40	66	70	85	24	53	0	21	3	925,000$
10	Roni Hirvonen (R)	X				100.00	48	50	86	91	46	60	50	39	70	33	46	55	40	68	64	80	24	52	0	22	3	925,000$
11	Logan Mailloux (R)				X	100.00	70	62	65	81	77	76	71	56	40	58	54	52	40	66	71	85	24	62	0	21	3	925,000$
12	Lian Bichsel (R)				X	100.00	71	56	48	75	86	55	50	44	40	51	38	58	40	64	60	90	24	58	0	20	3	925,000$
13	Nolan Allan (R)				X	100.00	56	50	74	84	62	64	59	38	40	36	40	62	40	68	66	80	34	58	0	22	3	750,000$
14	Simon Lundmark				X	100.00	59	51	83	75	66	71	66	37	40	35	39	50	40	72	72	70	24	56	0	24	1	825,000$
15	Quinn Schmiemann				X	100.00	59	55	71	75	66	55	50	35	40	34	37	65	40	70	63	75	24	56	0	23	1	750,000$
16	Christian Kyrou (R)				X	100.00	41	39	82	92	42	61	56	44	40	42	47	55	40	66	64	85	24	56	0	21	3	925,000$
Scratches
1	Nick Ritchie	X				100.00	99	63	76	75	85	60	50	59	40	52	54	50	73	82	71	45	12	59	0	29	1	3,000,000$
2	Michael Milne		X			100.00	48	44	73	76	51	60	50	47	40	47	46	64	90	68	64	80	22	54	0	22	2	925,000$
3	Alexis Gendron (R)		X			100.00	53	55	75	90	51	60	50	42	40	30	54	58	40	66	63	85	20	53	0	21	3	925,000$
4	Ilya Usau	X				100.00	53	47	84	75	56	60	50	39	70	34	44	60	40	70	65	75	19	52	0	23	2	975,000$
5	Brett Harrison (R)		X			100.00	55	48	87	83	61	60	50	37	40	36	39	60	40	66	63	85	20	52	0	21	3	925,000$
6	Ilya Nikolaev (R)	X				100.00	53	46	84	86	59	60	50	33	70	28	38	59	40	70	65	75	20	51	0	23	2	750,000$
7	Jakub Brabenec (R)		X			100.00	55	57	83	87	53	60	50	36	40	32	40	52	40	66	63	85	20	50	0	21	3	925,000$
8	Andrei Bakanov (R)	X				100.00	63	54	83	75	72	60	50	25	40	20	30	56	40	68	64	80	20	47	0	22	2	975,000$
9	Eemil Viro				X	100.00	42	40	86	75	57	55	50	33	40	33	34	65	40	68	62	80	22	54	0	22	2	925,000$
10	Leo Loof (R)				X	100.00	49	45	81	86	53	62	57	30	40	30	30	52	40	68	65	80	22	54	0	22	3	925,000$

	TEAM AVERAGE					100.00	57	51	77	82	59	65	55	45	46	44	46	58	45	69	67	77	22	56

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Mack Guzda (R)	100.00	75	50	60	98	50	50	50	50	50	50	40	70	60	75	26	58	0	23	1	750,000$
2	Vadim Zherenko (R)	100.00	87	55	60	84	50	50	50	50	50	50	50	70	60	75	19	57	0	23	2	750,000$
Scratches

	TEAM AVERAGE	100.00	81	53	60	91	50	50	50	50	50	50	45	70	60	75	23	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Trent Vogelhuber	64	59	72	66	65	65	99	USA	36	2	100,000$

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	Nate Schmidt	Jets	D	12	1	4	5	-7	0	0	9	18	13	5	5	7.69%	20	280	23.34	1	1	2	6	38	0	0	0	1	35	1	0	0.00%	0	0	0	0	0	0.36	0	0	0	0	0	1	0	0
Team Total or Average				12	1	4	5	-7	0	0	9	18	13	5	5	7.69%	20	280	23.34	1	1	2	6	38	0	0	0	1	35	1	0	0.00%	0	0	0	0	0	0.36	0	0	0	0	0	1	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

#	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	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	Link
Adam Klapka	Pantheres (Win)	RW	24	2000-09-14	No	230 Lbs	6 ft7	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$	RFA		Link / NHL Link
Alexis Gendron	Pantheres (Win)	LW	21	2003-12-30	Yes	187 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Andrei Bakanov	Pantheres (Win)	C	22	2002-05-28	Yes	213 Lbs	6 ft2	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$	RFA		Link / NHL Link
Brad Lambert	Pantheres (Win)	LW	21	2003-12-19	No	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Brett Harrison	Pantheres (Win)	LW	21	2003-06-07	Yes	188 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Christian Kyrou	Pantheres (Win)	D	21	2003-09-16	Yes	170 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Eemil Viro	Pantheres (Win)	D	22	2002-04-03	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Georgii Merkulov	Pantheres (Win)	LW	24	2000-10-10	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Ilya Nikolaev	Pantheres (Win)	C	23	2001-06-26	Yes	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA		NHL Link
Ilya Usau	Pantheres (Win)	C	23	2001-08-03	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$	RFA		Link / NHL Link
Jakub Brabenec	Pantheres (Win)	LW	21	2003-09-11	Yes	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Jakub Vrana	Pantheres (Win)	LW	28	1996-02-28	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	UFA		Link / NHL Link
James Malatesta	Pantheres (Win)	LW	21	2003-05-31	Yes	191 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Leo Loof	Pantheres (Win)	D	22	2002-04-05	Yes	179 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Lian Bichsel	Pantheres (Win)	D	20	2004-05-18	Yes	225 Lbs	6 ft6	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Logan Mailloux	Pantheres (Win)	D	21	2003-04-15	Yes	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Lukas Rousek	Pantheres (Win)	RW	25	1999-04-20	No	171 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Mack Guzda	Pantheres (Win)	G	23	2001-01-11	Yes	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Mackie Samoskevich	Pantheres (Win)	LW	22	2002-11-15	Yes	191 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Michael Milne	Pantheres (Win)	LW	22	2002-09-21	No	187 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Nick Ritchie	Pantheres (Win)	C	29	1995-12-05	No	236 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,000,000$	0$	0$	No	UFA			Link / NHL Link
Nolan Allan	Pantheres (Win)	D	22	2002-04-28	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	RFA	NHL Link
Quinn Schmiemann	Pantheres (Win)	D	23	2001-07-27	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Riley Kidney	Pantheres (Win)	C	21	2003-03-25	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Roni Hirvonen	Pantheres (Win)	C	22	2002-01-10	Yes	178 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Simon Lundmark	Pantheres (Win)	D	24	2000-10-08	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA			Link / NHL Link
Vadim Zherenko	Pantheres (Win)	G	23	2001-03-15	Yes	176 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA		NHL Link
Xavier Simoneau	Pantheres (Win)	C	23	2001-05-19	No	183 Lbs	5 ft6	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	22.64	194 Lbs	6 ft1	2.21	959,821$

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				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
, ,	,

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	BigBadStars	3	2	1	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	3	2	1	0	0	0	0	0	8	7	1	4	0.667	8	15	23	0	0	24	22	26	0	89	225	216	229	11	65	15	16	70	11	0	0.00%	8	4	50.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
2	EvilSharks	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	2	0	2	2	0.500	5	10	15	0	1	24	22	26	0	79	225	216	229	11	58	16	14	61	14	1	7.14%	7	0	100.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
3	Griffins	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	24	22	26	0	57	225	216	229	11	22	12	10	29	3	1	33.33%	5	0	100.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
4	IceHawks	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	23	35	0	0	24	22	26	0	73	225	216	229	11	39	16	10	38	7	3	42.86%	5	0	100.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
5	IceHogs	3	1	2	0	0	0	0	0	13	16	-3	2	0	2	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	6	5	1	2	0.333	13	25	38	0	0	24	22	26	0	148	225	216	229	11	118	30	22	89	16	2	12.50%	10	1	90.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
6	Oceanic	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	14	21	0	0	24	22	26	0	49	225	216	229	11	39	10	13	33	5	2	40.00%	3	0	100.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
7	Sagueneens	4	3	0	0	0	1	0	0	21	16	5	2	1	0	0	0	1	0	0	10	8	2	2	2	0	0	0	0	0	0	11	8	3	7	0.875	21	40	61	0	0	24	22	26	0	152	225	216	229	11	109	23	38	103	22	6	27.27%	18	8	55.56%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
8	Senators	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	24	22	26	0	31	225	216	229	11	24	6	8	18	4	0	0.00%	4	1	75.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
	Total	17	11	4	0	0	1	0	1	72	54	18	8	3	3	0	0	1	0	1	33	30	3	9	8	1	0	0	0	0	0	39	24	15	24	0.706	72	139	211	0	1	24	22	26	0	678	225	216	229	11	474	128	131	441	82	15	18.29%	60	14	76.67%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
	_Since Last GM Reset	17	11	4	0	0	1	0	1	72	54	18	8	3	3	0	0	1	0	1	33	30	3	9	8	1	0	0	0	0	0	39	24	15	24	0.706	72	139	211	0	1	24	22	26	0	678	225	216	229	11	474	128	131	441	82	15	18.29%	60	14	76.67%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
	_Vs Conference	17	11	4	0	0	1	0	1	72	54	18	8	3	3	0	0	1	0	1	33	30	3	9	8	1	0	0	0	0	0	39	24	15	24	0.706	72	139	211	0	1	24	22	26	0	678	225	216	229	11	474	128	131	441	82	15	18.29%	60	14	76.67%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
	_Vs Division	2	4	1	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	1	3	5	-2	1	3	1	0	0	0	0	0	2	0	2	9	2.250	5	10	15	0	1	24	22	26	0	79	225	216	229	11	58	16	14	61	14	1	7.14%	7	0	100.00%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
17	24	W3	72	139	211	678	474	128	131	441	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	11	4	0	1	0	1	72	54

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	3	0	1	0	1	33	30

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	8	1	0	0	0	0	39	24

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
82	15	18.29%	60	14	76.67%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
225	216	229	11	24	22	26	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
275	635	43.31%	218	524	41.60%	129	290	44.48%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
395	284	431	123	200	96

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	3	Pantheres	4	BigBadStars	3	AW			BoxScore
3	18	Pantheres	4	Sagueneens	2	AW			BoxScore
4	29	IceHogs	7	Pantheres	4	BL			BoxScore
7	49	Senators	4	Pantheres	3	BL	X	X	BoxScore
9	60	Pantheres	5	IceHawks	1	AW			BoxScore
12	82	Griffins	1	Pantheres	3	BW			BoxScore
14	100	IceHawks	1	Pantheres	7	BW			BoxScore
16	115	Pantheres	6	IceHogs	5	AW			BoxScore
18	130	Pantheres	7	Oceanic	3	AW			BoxScore
20	148	EvilSharks	5	Pantheres	3	BL			BoxScore
21	159	Pantheres	1	BigBadStars	3	AL			BoxScore
24	176	IceHogs	4	Pantheres	3	BL			BoxScore
25	191	Pantheres	3	BigBadStars	1	AW			BoxScore
27	205	Sagueneens	6	Pantheres	5	BL	X		BoxScore
30	224	Pantheres	2	EvilSharks	0	AW			BoxScore
32	233	Pantheres	7	Sagueneens	6	AW			BoxScore
34	246	Sagueneens	2	Pantheres	5	BW			BoxScore
36	260	Pantheres	-	Checkers	-
38	273	Mighty Ducks	-	Pantheres	-
40	284	Pantheres	-	WolfPack	-
43	304	IceHawks	-	Pantheres	-
45	325	Thunder	-	Pantheres	-
47	331	Pantheres	-	EvilSharks	-
50	354	Pantheres	-	Magics	-
51	365	IceBears	-	Pantheres	-
54	383	Pantheres	-	Senators	-
55	397	Wolves	-	Pantheres	-
58	417	HC	-	Pantheres	-
61	434	Pantheres	-	Wolves	-
63	449	IceHogs	-	Pantheres	-
65	466	Pantheres	-	Darkness	-
67	481	EvilSharks	-	Pantheres	-
69	495	Pantheres	-	BaronsOKC	-
71	509	Pantheres	-	Senators	-
72	521	Senators	-	Pantheres	-
74	534	Pantheres	-	Vikings	-
76	552	Iceberg	-	Pantheres	-
79	572	Pantheres	-	Spiders	-
81	583	Magics	-	Pantheres	-
83	600	Pantheres	-	Oceanic	-
85	609	Pantheres	-	Griffins	-
86	618	Oceanic	-	Pantheres	-
89	638	Pantheres	-	Sagueneens	-
90	648	Senators	-	Pantheres	-
93	667	Pantheres	-	Griffins	-
95	679	Draveurs	-	Pantheres	-
97	696	Pantheres	-	Magics	-
99	709	Spiders	-	Pantheres	-
101	725	Pantheres	-	SilverKnights	-
102	734	Pantheres	-	National	-
104	745	Oceanic	-	Pantheres	-
107	768	Spiders	-	Pantheres	-
109	781	Pantheres	-	Spiders	-
111	799	Pantheres	-	Thunder	-
112	806	Magics	-	Pantheres	-
116	831	Pantheres	-	National	-
117	837	Griffins	-	Pantheres	-
120	860	Pantheres	-	Roadrunners	-
121	866	National	-	Pantheres	-
125	895	Pantheres	-	IceHawks	-
126	899	BaronsOKC	-	Pantheres	-
128	913	Pantheres	-	Nordiques	-
130	930	Eagles	-	Pantheres	-
132	947	Pantheres	-	Darkness	-
133	959	BigBadStars	-	Pantheres	-
136	977	Pantheres	-	Bandits	-
137	989	Cyclones	-	Pantheres	-
140	1012	Pantheres	-	Thunder	-
142	1023	National	-	Pantheres	-
145	1041	Pantheres	-	Bandits	-
147	1054	BigBadStars	-	Pantheres	-
148	1064	Pantheres	-	IceHogs	-
151	1084	Thunder	-	Pantheres	-
155	1111	Pantheres	-	Wolves	-
156	1116	Wolves	-	Pantheres	-
161	1145	Remparts	-	Pantheres	-
165	1169	Darkness	-	Pantheres	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173	1201	Darkness	-	Pantheres	-

Pantheres 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	Adam Foote	1371	275	452	727	216	1493	1849	1999	2553	10.77%	779	23230	16.94	67	111	178	291	4	5	9	62	41	15	47.77%	10	0.63	9	34
2	Alexander Burmistrov	687	194	278	472	-22	701	1635	2113	1679	11.55%	202	15933	23.19	48	97	145	332	7	6	13	51	33	17	57.23%	7	0.59	17	73
3	Emanuel Peter	595	89	150	239	-39	332	604	1255	835	10.66%	102	10182	17.11	12	37	49	106	1	2	3	13	17	4	56.14%	0	0.47	10	32
4	Stuart Percy	711	46	179	225	-50	350	896	672	389	11.83%	452	10590	14.90	31	53	84	258	0	6	6	2	7	5	18.18%	1	0.42	6	12
5	Dwight King	446	89	128	217	8	273	612	559	791	11.25%	66	9543	21.40	24	43	67	186	3	3	6	27	14	3	45.39%	1	0.45	11	37

Pantheres 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	Jeff Drouin-Deslauriers	204	87	87	25	0.902	2.72	12084	23	10	547	5556	2131	13	6	0.708	113
2	Philipp Grubauer	162	82	64	14	0.913	2.09	9722	8	17	338	3880	0	3	3	0.773	97
3	Allen York	137	72	52	9	0.902	1.92	8149	27	13	261	2673	0	6	2	0.767	60
4	Scott Wedgewood	148	62	71	15	0.881	2.64	8722	14	8	384	3224	0	9	3	0.692	65
5	Cristobal Huet	86	47	26	9	0.911	2.70	4973	23	3	224	2504	1054	6	0	0.706	34

Pantheres 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	42	26	0	1	4	4	5	286	229	57	41	26	11	0	0	1	2	1	153	100	53	41	16	15	0	1	3	2	4	133	129	4	90	286	466	752	0	3	0	78	109	94	2596	0	793	947	827	2504	828	1579	1900	284	67	23.59%	291	56	80.76%	4	895	1835	48.77%	989	2072	47.73%	640	1382	46.31%	1652	844	1872	888	1642	816
2018	82	29	29	0	3	7	7	7	253	260	-7	41	16	13	0	2	2	3	5	132	128	4	41	13	16	0	1	5	4	2	121	132	-11	71	253	416	669	3	0	0	65	93	85	2336	0	644	795	848	2583	874	1213	1824	217	50	23.04%	245	63	74.29%	9	825	1724	47.85%	882	2040	43.24%	579	1285	45.06%	1599	773	1678	822	1728	873
2019	81	33	35	0	1	3	2	7	245	250	-5	41	13	21	0	0	2	0	5	104	131	-27	40	20	14	0	1	1	2	2	141	119	22	71	245	404	649	3	1	0	62	93	87	2270	0	594	807	857	2427	799	1491	1746	215	56	26.05%	237	46	80.59%	4	824	1725	47.77%	941	1887	49.87%	568	1188	47.81%	1628	804	1579	796	1707	871
2020	82	28	33	0	5	3	4	9	251	257	-6	41	15	17	0	1	2	3	3	126	123	3	41	13	16	0	4	1	1	6	125	134	-9	69	251	404	655	2	1	0	54	90	98	2321	0	557	879	856	2431	803	1503	1880	201	53	26.37%	238	60	74.79%	3	850	1802	47.17%	890	1953	45.57%	550	1171	46.97%	1650	816	1621	805	1728	878
2021	82	41	33	0	0	2	3	3	166	161	5	41	21	16	0	0	1	2	1	87	86	1	41	20	17	0	0	1	1	2	79	75	4	84	166	305	471	1	9	0	60	60	43	1383	0	457	441	479	1582	445	981	1829	379	64	16.89%	407	50	87.71%	3	1220	2220	54.95%	1182	2325	50.84%	601	1135	52.95%	2024	1398	1909	597	1022	523
2022	81	29	36	0	1	1	10	4	152	152	0	41	19	14	0	1	0	5	2	85	70	15	40	10	22	0	0	1	5	2	67	82	-15	61	152	252	404	2	12	0	66	40	35	1450	0	508	476	444	1639	465	995	1932	369	58	15.72%	420	52	87.62%	3	1156	2204	52.45%	1213	2327	52.13%	571	1081	52.82%	1995	1364	1911	604	1029	517
2023	81	35	29	0	2	3	6	6	205	197	8	40	16	13	0	2	1	5	3	105	96	9	41	19	16	0	0	2	1	3	100	101	-1	77	205	355	560	3	6	0	64	66	67	1768	0	569	567	615	1839	531	1042	1947	406	55	13.55%	461	70	84.82%	3	1461	2404	60.77%	1403	2404	58.36%	670	1156	57.96%	2018	1402	1911	585	998	510
2024	82	28	40	0	2	6	1	5	180	215	-35	41	18	17	0	0	2	1	3	87	92	-5	41	10	23	0	2	4	0	2	93	123	-30	73	180	310	490	2	7	0	61	62	54	1642	0	531	571	520	1906	577	1024	1997	373	51	13.67%	419	67	84.01%	4	1294	2230	58.03%	1396	2451	56.96%	659	1169	56.37%	1986	1364	1946	609	1034	514
2025	82	26	42	0	1	1	6	6	184	213	-29	41	12	21	0	1	1	3	3	94	107	-13	41	14	21	0	0	0	3	3	90	106	-16	73	184	306	490	1	8	0	61	63	53	1642	0	524	568	524	1970	564	765	1858	374	52	13.90%	326	56	82.82%	4	1302	2267	57.43%	1346	2403	56.01%	659	1172	56.23%	1989	1364	1945	607	1047	533
2026	82	28	32	0	4	5	7	6	173	178	-5	41	14	16	0	1	2	3	5	84	87	-3	41	14	16	0	3	3	4	1	89	91	-2	89	173	292	465	0	10	0	39	55	68	1674	0	496	582	564	2034	564	986	1926	347	47	13.54%	415	50	87.95%	5	1188	2320	51.21%	1369	2723	50.28%	590	1133	52.07%	1915	1294	2043	629	1048	518
2027	82	28	31	0	3	7	7	6	183	206	-23	41	15	13	0	2	2	5	4	102	109	-7	41	13	18	0	1	5	2	2	81	97	-16	89	183	316	499	1	10	0	59	45	69	1549	0	482	531	513	2030	553	874	1967	376	54	14.36%	380	56	85.26%	5	1106	2278	48.55%	1157	2509	46.11%	575	1124	51.16%	2094	1443	1872	596	1037	537
2030	82	29	43	0	2	3	2	3	198	274	-76	41	15	22	0	2	1	0	1	90	124	-34	41	14	21	0	0	2	2	2	108	150	-42	72	198	360	558	4	5	0	74	61	59	1669	0	513	569	574	2220	648	759	1857	379	54	14.25%	325	50	84.62%	1	1080	2213	48.80%	1103	2328	47.38%	600	1253	47.89%	1989	1384	1954	587	1022	517
2031	82	10	53	0	4	3	5	7	149	264	-115	41	4	27	0	3	0	3	4	78	132	-54	41	6	26	0	1	3	2	3	71	132	-61	48	149	255	404	1	2	0	42	43	55	1527	0	507	497	493	2007	545	1008	1924	337	40	11.87%	428	78	81.78%	2	995	2202	45.19%	1100	2384	46.14%	521	1159	44.95%	1908	1285	2047	623	1042	516
2032	82	37	31	0	5	2	4	3	211	189	22	41	19	16	0	2	2	0	2	101	90	11	41	18	15	0	3	0	4	1	110	99	11	97	211	368	579	2	8	0	75	69	58	1819	0	596	576	628	1767	495	949	1930	363	57	15.70%	387	62	83.98%	6	1083	2343	46.22%	1046	2375	44.04%	502	1183	42.43%	2021	1389	1910	605	1034	528
2033	82	34	35	0	0	4	5	4	280	265	15	41	19	16	0	0	3	2	1	147	121	26	41	15	19	0	0	1	3	3	133	144	-11	86	280	516	796	0	1	0	104	84	87	2651	0	857	887	884	2331	670	892	2157	312	59	18.91%	382	66	82.72%	4	1208	2698	44.77%	1129	2627	42.98%	576	1302	44.24%	1926	1360	2072	585	977	475
2034	82	43	29	0	1	2	4	3	314	266	48	41	21	14	0	0	2	2	2	156	132	24	41	22	15	0	1	0	2	1	158	134	24	101	314	593	907	1	4	0	126	100	83	2974	0	967	979	1001	2487	719	821	2203	336	55	16.37%	366	57	84.43%	3	1244	2819	44.13%	1173	2636	44.50%	601	1318	45.60%	1866	1319	2127	584	964	459
2035	82	44	26	0	3	3	3	3	310	286	24	41	27	12	0	1	1	0	0	163	140	23	41	17	14	0	2	2	3	3	147	146	1	106	310	581	891	3	2	0	127	89	88	3146	0	1095	995	1021	2448	704	836	2137	367	58	15.80%	345	62	82.03%	6	1401	2960	47.33%	1182	2576	45.89%	626	1361	46.00%	1930	1386	2071	580	960	458
2036	80	31	34	0	6	4	2	3	310	307	3	40	14	20	0	4	0	1	1	156	152	4	40	17	14	0	2	4	1	2	154	155	-1	85	310	581	891	1	2	0	124	99	79	2762	0	922	912	896	2472	736	870	2067	321	49	15.26%	357	77	78.43%	2	1250	2669	46.83%	1209	2591	46.66%	577	1288	44.80%	1831	1313	2107	565	916	435
2037	82	37	35	0	4	3	2	1	274	285	-11	41	16	20	0	2	2	1	0	132	149	-17	41	21	15	0	2	1	1	1	142	136	6	90	274	511	785	1	5	102	83	83	6	2713	925	841	925	32	2587	759	860	2254	360	69	19.17%	350	72	79.43%	3	1226	2758	44.45%	1256	2739	45.86%	547	1324	41.31%	1802	1263	2172	598	972	462
2038	17	11	4	0	0	1	0	1	72	54	18	8	3	3	0	0	1	0	1	33	30	3	9	8	1	0	0	0	0	0	39	24	15	24	72	139	211	0	1	24	22	26	0	678	225	216	229	11	474	128	131	441	82	15	18.29%	60	14	76.67%	0	275	635	43.31%	218	524	41.60%	129	290	44.48%	395	284	431	123	200	96
Total Regular Season	1570	623	656	0	48	67	84	92	4396	4508	-112	785	323	322	0	24	28	41	47	2215	2199	16	785	300	334	0	24	39	43	45	2181	2309	-128	1556	4396	7730	12126	31	97	126	1446	1430	1268	40570	1150	12669	13733	12587	41738	12407	19579	37776	6398	1063	16.61%	6839	1164	82.98%	74	21883	44306	49.39%	22184	45874	48.36%	11341	23474	48.31%	36230	23858	37188	12398	22117	11044
Playoff
2017	7	3	4	0	0	0	0	0	21	27	-6	4	1	3	0	0	0	0	0	12	15	-3	3	2	1	0	0	0	0	0	9	12	-3	6	21	34	55	0	0	0	5	12	3	253	0	91	83	69	232	68	135	197	29	6	20.69%	32	6	81.25%	0	89	188	47.34%	80	183	43.72%	63	135	46.67%	155	85	2018	962	142	68
2023	7	3	4	0	0	0	0	0	17	21	-4	3	1	2	0	0	0	0	0	8	9	-1	4	2	2	0	0	0	0	0	9	12	-3	6	17	31	48	0	0	0	7	3	7	157	0	60	44	53	160	46	107	180	39	5	12.82%	43	11	74.42%	1	129	230	56.09%	121	221	54.75%	55	107	51.40%	154	101	176	56	88	42
2032	7	3	4	0	0	0	0	0	24	25	-1	3	2	1	0	0	0	0	0	11	10	1	4	1	3	0	0	0	0	0	13	15	-2	6	24	43	67	0	0	0	8	8	7	162	0	49	66	46	198	47	98	174	32	6	18.75%	30	11	63.33%	0	96	204	47.06%	80	223	35.87%	49	117	41.88%	168	119	170	47	85	42
2034	5	1	4	0	0	0	0	0	23	29	-6	3	1	2	0	0	0	0	0	16	17	-1	2	0	2	0	0	0	0	0	7	12	-5	2	23	44	67	0	0	0	9	4	9	250	0	76	58	92	207	51	43	156	33	4	12.12%	18	3	83.33%	1	138	248	55.65%	83	180	46.11%	49	102	48.04%	146	108	117	34	62	31
2035	10	5	5	0	0	0	0	0	36	42	-6	5	4	1	0	0	0	0	0	21	18	3	5	1	4	0	0	0	0	0	15	24	-9	10	36	70	106	0	0	0	14	9	13	355	0	113	112	130	382	111	101	268	32	4	12.50%	45	11	75.56%	1	163	341	47.80%	175	368	47.55%	97	190	51.05%	228	164	257	69	114	54
Total Playoff	36	15	21	0	0	0	0	0	121	144	-23	18	9	9	0	0	0	0	0	68	69	-1	18	6	12	0	0	0	0	0	53	75	-22	30	121	222	343	0	0	0	43	36	39	1177	0	389	363	390	1179	323	484	975	165	25	15.15%	168	42	75.00%	3	615	1211	50.78%	539	1175	45.87%	313	651	48.08%	853	580	2741	1169	493	239

Pantheres 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	FO%	P/20
1	Adam Foote	126	21	34	55	-30	135	197	172	253	8.30%	68	2159	17.14	6	9	15	22	0	0	5	3	45.85%	0.51
2	Stuart Percy	14	3	11	14	8	7	13	19	19	15.79%	9	251	17.99	0	4	4	11	0	0	0	0	0.00%	1.11
3	Alexander Burmistrov	14	5	5	10	9	6	26	36	32	15.63%	5	252	18.02	0	1	1	1	0	0	1	0	52.48%	0.79
4	Brandon Sutter	7	3	6	9	4	0	2	27	26	11.54%	3	184	26.34	0	1	1	3	1	1	3	1	60.87%	0.98
5	Tyler Pitlick	7	2	6	8	-1	8	19	30	32	6.25%	3	168	24.08	0	3	3	11	0	0	0	1	41.99%	0.95

Pantheres Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR
1	Brian Elliott	8	3	3	1	0.884	3.66	443	0	27	232	98
2	Philipp Grubauer	7	3	4	0	0.869	3.01	419	0	21	160	0
3	Scott Wedgewood	7	3	4	0	0.868	3.68	408	4	25	189	0
4	Daniel Altshuller	1	0	0	0	1.000	0.00	13	0	0	9	0