Canadian Hockey League

Jets
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Pantheres 32-19-5, 69pts	4	FINAL	7	IceHogs 34-19-5, 73pts

Team Stats
W1	Streak	OTW1
18-10-1	Home Record	17-9-3
14-9-4	Away Record	17-10-2
7-2-1	Last 10 Games	7-3-0
4.05	Goals Per Game	4.02
3.82	Goals Against Per Game	3.57
18.70%	Power Play Percentage	19.58%
81.64%	Penalty Kill Percentage	82.76%

Mighty Ducks
26-27-5, 57pts

FINAL

Pantheres
32-19-5, 69pts

Team Stats
L4	Streak	W1
14-11-4	Home Record	18-10-1
12-16-1	Away Record	14-9-4
4-6-0	Last 10 Games	7-2-1
3.17	Goals Per Game	4.05
3.43	Goals Against Per Game	3.82
14.02%	Power Play Percentage	18.70%
80.28%	Penalty Kill Percentage	81.64%

Iceberg
34-19-4, 72pts

Day 126

Pantheres
32-19-5, 69pts

Team Stats
OTW1	Streak	W1
21-6-2	Home Record	18-10-1
13-13-2	Away Record	14-9-4
7-1-2	Last 10 Games	7-2-1
3.77	Goals Per Game	4.05
3.35	Goals Against Per Game	3.82
17.84%	Power Play Percentage	18.70%
87.01%	Penalty Kill Percentage	81.64%

Sagueneens
20-34-4, 44pts

Day 130

Pantheres
32-19-5, 69pts

Team Stats
L1	Streak	W1
11-17-1	Home Record	18-10-1
9-17-3	Away Record	14-9-4
3-7-0	Last 10 Games	7-2-1
2.38	Goals Per Game	4.05
3.19	Goals Against Per Game	3.82
13.66%	Power Play Percentage	18.70%
90.16%	Penalty Kill Percentage	81.64%

Pantheres
32-19-5, 69pts

Day 132

Thunder
32-23-2, 66pts

Team Stats
W1	Streak	L1
18-10-1	Home Record	16-13-0
14-9-4	Away Record	16-10-2
7-2-1	Last 10 Games	6-4-0
4.05	Goals Per Game	3.88
3.82	Goals Against Per Game	3.60
18.70%	Power Play Percentage	16.80%
81.64%	Penalty Kill Percentage	83.97%

Team Leaders

Team Stats
Goals For 227 4.05 GFG	Shots For 2021 36.09 Avg	Power Play Percentage 18.7% 43 GF	Offensive Zone Start 40.5%
Goals Against 214 3.82 GAA	Shots Against 1844 32.93 Avg	Penalty Kill Percentage 81.6% 47 GA	Defensive Zone Start 39.8%

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	22
	Farm Team	20
	Contract Limit	42 / 50
	Prospects	64
Team History
	This Season	32-19-5 (69PTS)
	History	827-693-152 (0.495%)
	Playoff Appearances	6
	Playoff Record (W-L)	17-25
	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	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	85	84	51	68	58	63	40	70	51	59	60	72	70	70	34	61	0	25	2	925,000$
2	Dylan Roobroeck (R)		X		100.00	83	60	78	76	78	81	71	44	40	36	53	67	40	64	73	90	34	59	0	21	3	925,000$
3	Jaroslav Chmelar (R)		X		100.00	86	63	76	77	81	80	70	42	40	40	44	50	40	66	73	85	34	56	0	22	3	925,000$
4	Brad Lambert		X		100.00	47	43	81	75	55	70	60	49	40	58	39	50	73	66	68	85	34	55	0	22	1	925,000$
5	Justin Ertel (R)		X		100.00	64	52	76	85	59	60	50	40	40	43	37	64	40	66	63	85	29	54	0	22	3	925,000$
6	Xavier Simoneau	X			100.00	46	49	60	75	40	67	57	40	70	43	37	70	40	70	69	75	34	53	0	24	1	925,000$
7	Alexis Gendron		X		100.00	53	55	75	75	51	72	62	43	40	30	56	55	40	66	69	85	32	53	0	22	2	925,000$
8	Brett Harrison		X		100.00	55	48	86	75	60	60	50	40	40	40	41	67	73	66	63	85	26	53	0	22	2	925,000$
9	Ilya Usau	X			100.00	53	47	84	75	56	60	50	39	70	34	44	60	40	70	65	75	34	52	0	24	1	975,000$
10	Jakub Brabenec		X		100.00	55	57	86	75	56	71	61	40	40	37	42	50	80	66	69	85	23	52	0	22	2	925,000$
11	Riley Kidney	X			100.00	51	50	78	75	54	65	55	37	40	38	36	58	40	66	66	85	34	51	0	22	2	925,000$
12	Nolan Allan			X	100.00	73	49	83	76	63	75	72	53	40	53	53	70	40	66	71	85	39	65	0	22	2	750,000$
13	Kirill Kudryavtsev (R)			X	100.00	64	48	83	88	59	69	64	43	40	46	39	70	40	64	67	90	34	62	0	21	3	925,000$
14	Leo Loof			X	100.00	49	45	69	75	63	67	62	36	40	42	30	62	40	68	68	80	34	57	0	23	2	925,000$
15	Daniil Misyul (R)			X	100.00	74	60	69	81	69	62	57	32	40	31	32	50	40	72	67	70	34	56	0	25	1	575,000$
16	Dyllan Gill (R)			X	100.00	69	50	85	82	64	55	50	34	40	27	40	57	40	64	60	90	34	56	0	21	3	925,000$
Scratches
1	Michael Milne		X		100.00	48	44	75	75	51	69	59	43	40	35	51	50	40	68	69	80	19	52	0	23	1	925,000$
2	Ilya Nikolaev	X			100.00	53	46	84	75	59	60	50	33	70	28	38	59	40	70	65	75	20	50	0	24	1	750,000$
3	Andrei Bakanov	X			100.00	63	54	83	75	72	60	50	25	40	20	30	56	40	68	64	80	20	47	0	23	1	975,000$

	TEAM AVERAGE				100.00	59	50	79	78	60	67	58	41	45	40	42	59	47	67	67	82	31	55

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	Domenic DiVincentiis (R)	100.00	75	54	60	88	61	52	53	53	56	55	89	64	58	90	48	60	0	21	3	925,000$
2	Michael Hutchinson	100.00	75	50	60	92	50	50	50	50	50	50	40	92	71	20	48	59	0	35	3	575,000$
Scratches
1	Alexei Melnichuk	100.00	75	50	60	87	50	50	50	50	50	50	99	76	63	60	18	57	0	27	1	575,000$

	TEAM AVERAGE	100.00	75	51	60	89	54	51	51	51	52	52	76	77	64	57	38	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Trent Vogelhuber	69	60	57	60	72	65	96	USA	37	1	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

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

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	Link
Alexei Melnichuk	Pantheres (Win)	G	27	1998-06-29	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	UFA			Link / NHL Link
Alexis Gendron	Pantheres (Win)	LW	22	2003-12-30	No	187 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Andrei Bakanov	Pantheres (Win)	C	23	2002-05-28	No	213 Lbs	6 ft2	No	No	No	1	Pro & Farm	975,000$	0$	0$	No	RFA			Link / NHL Link
Brad Lambert	Pantheres (Win)	LW	22	2003-12-19	No	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
Brett Harrison	Pantheres (Win)	LW	22	2003-06-07	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Daniil Misyul	Pantheres (Win)	D	25	2000-11-20	Yes	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Domenic DiVincentiis	Pantheres (Win)	G	21	2004-03-04	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Dylan Roobroeck	Pantheres (Win)	LW	21	2004-07-27	Yes	205 Lbs	6 ft7	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Dyllan Gill	Pantheres (Win)	D	21	2004-06-07	Yes	194 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Georgii Merkulov	Pantheres (Win)	LW	25	2000-10-10	No	184 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Ilya Nikolaev	Pantheres (Win)	C	24	2001-06-26	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Ilya Usau	Pantheres (Win)	C	24	2001-08-03	No	189 Lbs	6 ft0	No	No	No	1	Pro & Farm	975,000$	0$	0$	No	RFA			Link / NHL Link
Jakub Brabenec	Pantheres (Win)	LW	22	2003-09-11	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Jaroslav Chmelar	Pantheres (Win)	LW	22	2003-07-20	Yes	220 Lbs	6 ft5	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Justin Ertel	Pantheres (Win)	LW	22	2003-05-27	Yes	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Kirill Kudryavtsev	Pantheres (Win)	D	21	2004-02-05	Yes	200 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Leo Loof	Pantheres (Win)	D	23	2002-04-05	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Michael Hutchinson	Pantheres (Win)	G	35	1990-03-02	No	192 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Michael Milne	Pantheres (Win)	LW	23	2002-09-21	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
Nolan Allan	Pantheres (Win)	D	22	2003-04-28	No	195 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA		Link / NHL Link
Riley Kidney	Pantheres (Win)	C	22	2003-03-25	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Xavier Simoneau	Pantheres (Win)	C	24	2001-05-19	No	178 Lbs	5 ft7	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
22	23.32	194 Lbs	6 ft1	1.95	865,909$

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	Bandits	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	92	68	64	4	34	646	670	692	17	54	14	14	20	4	1	25.00%	8	1	87.50%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
2	BaronsOKC	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	92	68	64	4	53	646	670	692	17	50	13	4	23	5	1	20.00%	2	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
3	BigBadStars	5	3	1	0	1	0	0	0	23	21	2	2	1	1	0	0	0	0	0	4	7	-3	3	2	0	0	1	0	0	0	19	14	5	8	0.800	23	42	65	0	0	92	68	64	4	199	646	670	692	17	241	49	59	133	9	2	22.22%	26	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
4	Checkers	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	6	9	0	0	92	68	64	4	22	646	670	692	17	33	5	4	24	6	2	33.33%	2	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
5	Cyclones	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	92	68	64	4	37	646	670	692	17	21	10	10	27	3	1	33.33%	4	2	50.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
6	Darkness	2	1	0	0	1	0	0	0	13	7	6	1	1	0	0	0	0	0	0	8	3	5	1	0	0	0	1	0	0	0	5	4	1	4	1.000	13	25	38	0	0	92	68	64	4	65	646	670	692	17	52	15	39	61	12	3	25.00%	14	2	85.71%	1	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
7	Draveurs	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	92	68	64	4	33	646	670	692	17	43	19	12	32	2	0	0.00%	5	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
8	EvilSharks	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	92	68	64	4	44	646	670	692	17	26	7	10	20	8	2	25.00%	4	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
9	Griffins	4	2	1	0	0	1	0	0	16	16	0	1	1	0	0	0	0	0	0	5	3	2	3	1	1	0	0	1	0	0	11	13	-2	5	0.625	16	32	48	0	0	92	68	64	4	136	646	670	692	17	98	25	30	80	23	5	21.74%	14	7	50.00%	1	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
10	HC	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	92	68	64	4	39	646	670	692	17	54	13	11	35	4	2	50.00%	3	1	66.67%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
11	IceBears	2	0	2	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	8	10	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	8	16	24	0	0	92	68	64	4	82	646	670	692	17	79	25	12	55	6	3	50.00%	5	1	80.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
12	IceHawks	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	92	68	64	4	28	646	670	692	17	16	3	6	20	5	0	0.00%	3	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
13	IceHogs	2	1	1	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	8	15	23	0	0	92	68	64	4	69	646	670	692	17	81	28	22	54	12	2	16.67%	11	3	72.73%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
14	Iceberg	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	92	68	64	4	55	646	670	692	17	31	7	4	35	6	1	16.67%	2	1	50.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
15	Magics	3	1	2	0	0	0	0	0	11	13	-2	1	1	0	0	0	0	0	0	5	3	2	2	0	2	0	0	0	0	0	6	10	-4	2	0.333	11	20	31	0	0	92	68	64	4	108	646	670	692	17	65	21	30	94	5	0	0.00%	12	2	83.33%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
16	Mighty Ducks	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	92	68	64	4	48	646	670	692	17	41	8	6	36	7	3	42.86%	3	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
17	National	6	2	2	0	0	1	0	1	20	23	-3	3	1	1	0	0	1	0	0	11	11	0	3	1	1	0	0	0	0	1	9	12	-3	6	0.500	20	39	59	0	0	92	68	64	4	155	646	670	692	17	181	45	66	129	23	1	4.35%	33	3	90.91%	1	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
18	Oceanic	5	1	3	0	0	1	0	0	14	23	-9	1	0	1	0	0	0	0	0	2	7	-5	4	1	2	0	0	1	0	0	12	16	-4	3	0.300	14	25	39	0	0	92	68	64	4	203	646	670	692	17	152	42	65	167	23	1	4.35%	28	6	78.57%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
19	Remparts	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	8	13	0	0	92	68	64	4	39	646	670	692	17	47	10	16	30	1	0	0.00%	7	1	85.71%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
20	Roadrunners	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	92	68	64	4	28	646	670	692	17	27	7	8	29	1	0	0.00%	3	0	100.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
21	Senators	4	2	2	0	0	0	0	0	16	14	2	3	1	2	0	0	0	0	0	12	13	-1	1	1	0	0	0	0	0	0	4	1	3	4	0.500	16	32	48	0	0	92	68	64	4	144	646	670	692	17	97	22	40	109	13	3	23.08%	19	3	84.21%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
22	Spiders	6	3	2	0	1	0	0	0	25	26	-1	3	1	1	0	1	0	0	0	11	12	-1	3	2	1	0	0	0	0	0	14	14	0	8	0.667	25	49	74	0	0	92	68	64	4	227	646	670	692	17	204	53	50	159	30	6	20.00%	24	6	75.00%	1	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
23	Thunder	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	16	24	0	0	92	68	64	4	76	646	670	692	17	67	15	16	57	13	3	23.08%	8	4	50.00%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
24	WolfPack	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	92	68	64	4	31	646	670	692	17	33	5	18	36	3	0	0.00%	9	2	77.78%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
25	Wolves	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	8	15	23	0	0	92	68	64	4	66	646	670	692	17	51	17	14	55	6	1	16.67%	7	2	71.43%	0	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
	Total	56	29	19	0	3	4	0	1	227	214	13	29	17	10	0	1	1	0	0	122	107	15	27	12	9	0	2	3	0	1	105	107	-2	69	0.616	227	432	659	0	1	92	68	64	4	2021	646	670	692	17	1844	478	566	1520	230	43	18.70%	256	47	81.64%	4	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
	_Since Last GM Reset	56	29	19	0	3	4	0	1	227	214	13	29	17	10	0	1	1	0	0	122	107	15	27	12	9	0	2	3	0	1	105	107	-2	69	0.616	227	432	659	0	1	92	68	64	4	2021	646	670	692	17	1844	478	566	1520	230	43	18.70%	256	47	81.64%	4	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
	_Vs Conference	43	20	16	0	3	3	0	1	170	172	-2	20	11	7	0	1	1	0	0	79	73	6	23	9	9	0	2	2	0	1	91	99	-8	50	0.581	170	325	495	0	0	92	68	64	4	1520	646	670	692	17	1331	342	447	1138	182	29	15.93%	203	38	81.28%	4	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
	_Vs Division	16	14	11	0	3	3	0	1	64	63	1	9	6	6	0	1	1	0	0	38	33	5	7	8	5	0	2	2	0	1	26	30	-4	38	1.188	64	124	188	0	0	92	68	64	4	551	646	670	692	17	529	130	159	414	74	12	16.22%	75	13	82.67%	2	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
56	69	W1	227	432	659	2021	1844	478	566	1520	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	29	19	3	4	0	1	227	214

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	17	10	1	1	0	0	122	107

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	12	9	2	3	0	1	105	107

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	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
230	43	18.70%	256	47	81.64%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
646	670	692	17	92	68	64	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
866	1942	44.59%	866	1908	45.39%	399	943	42.31%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1269	907	1452	400	655	311

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	2	Pantheres	2	Oceanic	4	AL			BoxScore
4	24	National	4	Pantheres	2	BL			BoxScore
7	42	Griffins	3	Pantheres	5	BW			BoxScore
9	56	Pantheres	4	Spiders	7	AL			BoxScore
10	62	Pantheres	4	Griffins	5	AL	X		BoxScore
13	84	Darkness	3	Pantheres	8	BW			BoxScore
16	97	Pantheres	3	Oceanic	5	AL			BoxScore
18	114	Spiders	3	Pantheres	5	BW			BoxScore
21	138	Senators	5	Pantheres	3	BL			BoxScore
23	150	Pantheres	2	National	5	AL			BoxScore
26	171	Oceanic	7	Pantheres	2	BL			BoxScore
30	194	IceBears	6	Pantheres	5	BL			BoxScore
32	214	Pantheres	5	BigBadStars	4	AW	X		BoxScore
34	226	BigBadStars	6	Pantheres	2	BL			BoxScore
35	238	Pantheres	3	Magics	5	AL			BoxScore
37	253	Senators	4	Pantheres	2	BL			BoxScore
40	275	Pantheres	6	Spiders	5	AW			BoxScore
41	278	Pantheres	4	National	5	AL	X	X	BoxScore
43	292	IceHawks	1	Pantheres	2	BW			BoxScore
46	317	Draveurs	3	Pantheres	5	BW			BoxScore
48	331	Pantheres	9	BigBadStars	6	AW			BoxScore
50	344	Pantheres	6	Oceanic	5	AW			BoxScore
51	354	Thunder	3	Pantheres	5	BW			BoxScore
54	376	EvilSharks	2	Pantheres	6	BW			BoxScore
56	388	Pantheres	3	Thunder	6	AL			BoxScore
59	413	National	2	Pantheres	5	BW			BoxScore
61	428	Pantheres	4	Spiders	2	AW			BoxScore
63	440	Iceberg	1	Pantheres	6	BW			BoxScore
65	453	Pantheres	5	BigBadStars	4	AW			BoxScore
66	468	Pantheres	5	Remparts	3	AW			BoxScore
68	482	IceBears	4	Pantheres	3	BL			BoxScore
71	501	Pantheres	3	WolfPack	4	AL	X		BoxScore
72	512	Magics	3	Pantheres	5	BW			BoxScore
75	533	Spiders	3	Pantheres	4	BW	X		BoxScore
76	540	Pantheres	4	Senators	1	AW			BoxScore
79	563	HC	7	Pantheres	4	BL			BoxScore
81	581	Pantheres	4	Wolves	2	AW			BoxScore
83	592	BigBadStars	1	Pantheres	2	BW			BoxScore
84	602	Pantheres	5	Darkness	4	AW	X		BoxScore
87	624	Spiders	6	Pantheres	2	BL			BoxScore
90	645	Pantheres	3	Magics	5	AL			BoxScore
92	661	Senators	4	Pantheres	7	BW			BoxScore
94	677	Pantheres	3	Roadrunners	0	AW			BoxScore
96	686	Pantheres	5	Griffins	3	AW			BoxScore
97	695	National	5	Pantheres	4	BL	X		BoxScore
100	717	Pantheres	2	Griffins	5	AL			BoxScore
101	726	Wolves	5	Pantheres	4	BL			BoxScore
104	744	Pantheres	3	National	2	AW			BoxScore
106	757	Pantheres	1	Oceanic	2	AL	X		BoxScore
107	766	Cyclones	3	Pantheres	5	BW			BoxScore
110	783	Pantheres	3	Checkers	1	AW			BoxScore
111	795	BaronsOKC	3	Pantheres	5	BW			BoxScore
114	815	Bandits	4	Pantheres	6	BW			BoxScore
118	844	IceHogs	3	Pantheres	4	BW			BoxScore
120	857	Pantheres	4	IceHogs	7	AL			BoxScore
123	874	Mighty Ducks	3	Pantheres	4	BW			BoxScore
126	902	Iceberg	-	Pantheres	-
130	932	Sagueneens	-	Pantheres	-
132	944	Pantheres	-	Thunder	-
134	962	Pantheres	-	IceHawks	-
135	968	Vikings	-	Pantheres	-
138	994	BaronsOKC	-	Pantheres	-
140	1006	Pantheres	-	EvilSharks	-
142	1025	BigBadStars	-	Pantheres	-
144	1036	Pantheres	-	Sagueneens	-
146	1055	Darkness	-	Pantheres	-
148	1070	Pantheres	-	Eagles	-
150	1085	Griffins	-	Pantheres	-
151	1093	Pantheres	-	Eagles	-
154	1108	Pantheres	-	Darkness	-
156	1120	Oceanic	-	Pantheres	-
157	1131	Pantheres	-	EvilSharks	-
160	1152	Magics	-	Pantheres	-
162	1168	Pantheres	-	Darkness	-
164	1180	Darkness	-	Pantheres	-
165	1186	Pantheres	-	Senators	-
166	1195	Pantheres	-	SilverKnights	-
168	1212	Pantheres	-	Nordiques	-
169	1214	Pantheres	-	Senators	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	1225	Pantheres	-	HC	-
173	1238	Oceanic	-	Pantheres	-
179	1269	Griffins	-	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	78	43	22	0	7	3	1	2	329	256	73	39	20	13	0	4	1	0	1	164	127	37	39	23	9	0	3	2	1	1	165	129	36	107	329	624	953	1	2	127	93	101	8	2963	1015	958	960	40	2380	672	688	2051	320	60	18.75%	307	57	81.43%	6	1207	2691	44.85%	1130	2608	43.33%	563	1296	43.44%	1760	1258	2040	561	913	436
2039	56	29	19	0	3	4	0	1	227	214	13	29	17	10	0	1	1	0	0	122	107	15	27	12	9	0	2	3	0	1	105	107	-2	69	227	432	659	0	1	92	68	64	4	2021	646	670	692	17	1844	478	566	1520	230	43	18.70%	256	47	81.64%	4	866	1942	44.59%	866	1908	45.39%	399	943	42.31%	1269	907	1452	400	655	311
Total Regular Season	1687	684	693	0	58	73	85	94	4880	4924	-44	845	357	342	0	29	29	41	47	2468	2403	65	842	327	351	0	29	44	44	47	2412	2521	-109	1708	4880	8647	13527	32	99	321	1585	1569	1280	44876	2586	14081	15156	12633	45488	13429	20702	40906	6866	1151	16.76%	7342	1254	82.92%	84	23681	48304	49.02%	23962	49866	48.05%	12174	25423	47.89%	38864	25740	40249	13237	23485	11696
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
2038	6	2	4	0	0	0	0	0	21	26	-5	3	2	1	0	0	0	0	0	13	11	2	3	0	3	0	0	0	0	0	8	15	-7	4	21	40	61	0	0	5	7	8	1	177	53	66	55	3	172	53	81	165	25	4	16.00%	37	4	89.19%	1	63	184	34.24%	72	209	34.45%	49	111	44.14%	121	82	182	48	76	33
Total Playoff	42	17	25	0	0	0	0	0	142	170	-28	21	11	10	0	0	0	0	0	81	80	1	21	6	15	0	0	0	0	0	61	90	-29	34	142	262	404	0	0	5	50	44	40	1354	53	455	418	393	1351	376	565	1140	190	29	15.26%	205	46	77.56%	4	678	1395	48.60%	611	1384	44.15%	362	762	47.51%	975	662	2923	1217	569	273

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