Canadian Hockey League

Devils
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	HC 42-25-6, 90pts	3	FINAL	6	Vikings 47-21-8, 102pts

Team Stats
L3	Streak	L1
26-8-3	Home Record	24-7-6
16-17-3	Away Record	23-14-2
3-6-1	Last 10 Games	7-3-0
4.34	Goals Per Game	3.59
3.95	Goals Against Per Game	2.92
19.59%	Power Play Percentage	21.10%
82.45%	Penalty Kill Percentage	84.49%

Eagles
36-37-2, 74pts

FINAL

HC
42-25-6, 90pts

Team Stats
L1	Streak	L3
21-16-0	Home Record	26-8-3
15-21-2	Away Record	16-17-3
6-4-0	Last 10 Games	3-6-1
2.63	Goals Per Game	4.34
2.81	Goals Against Per Game	3.95
14.33%	Power Play Percentage	19.59%
82.30%	Penalty Kill Percentage	82.45%

HC
42-25-6, 90pts

Day 162

Bandits
39-28-5, 83pts

Team Stats
L3	Streak	W4
26-8-3	Home Record	24-12-1
16-17-3	Away Record	15-16-4
3-6-1	Last 10 Games	8-1-1
4.34	Goals Per Game	3.93
3.95	Goals Against Per Game	3.63
19.59%	Power Play Percentage	17.36%
82.45%	Penalty Kill Percentage	82.48%

Checkers
28-38-7, 63pts

Day 164

HC
42-25-6, 90pts

Team Stats
L2	Streak	L3
17-16-4	Home Record	26-8-3
11-22-3	Away Record	16-17-3
3-6-1	Last 10 Games	3-6-1
2.68	Goals Per Game	4.34
3.14	Goals Against Per Game	3.95
13.42%	Power Play Percentage	19.59%
88.36%	Penalty Kill Percentage	82.45%

Checkers
28-38-7, 63pts

Day 168

HC
42-25-6, 90pts

Team Stats
L2	Streak	L3
17-16-4	Home Record	26-8-3
11-22-3	Away Record	16-17-3
3-6-1	Last 10 Games	3-6-1
2.68	Goals Per Game	4.34
3.14	Goals Against Per Game	3.95
13.42%	Power Play Percentage	19.59%
88.36%	Penalty Kill Percentage	82.45%

Team Leaders

Team Stats
Goals For 317 4.34 GFG	Shots For 2828 38.74 Avg	Power Play Percentage 19.6% 57 GF	Offensive Zone Start 41.0%
Goals Against 288 3.95 GAA	Shots Against 2490 34.11 Avg	Penalty Kill Percentage 82.4% 56 GA	Defensive Zone Start 39.0%

Team Info
	General Manager	Pascal Riendeau
	Coach	Pascal Vincent
	Division	Pacific
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	21
	Farm Team	22
	Contract Limit	43 / 50
	Prospects	18
Team History
	This Season	42-25-6 (90PTS)
	History	719-732-168 (0.444%)
	Playoff Appearances	8
	Playoff Record (W-L)	28-38
	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	Ryan Johansen	X				100.00	62	56	79	77	76	77	86	60	88	53	67	62	76	88	83	30	25	65	0	32	3	3,000,000$
2	Lias Andersson	X				100.00	67	46	78	81	58	62	52	60	70	57	62	64	60	76	69	60	38	62	0	26	1	1,400,000$
3	John Farinacci (R)	X				100.00	56	53	85	89	58	80	70	47	70	50	44	70	40	70	75	75	38	60	0	23	2	750,000$
4	Tyson Jost	X				100.00	64	44	85	78	53	72	72	51	78	46	56	64	40	76	74	60	38	59	0	26	4	1,750,000$
5	Emilio Pettersen		X			100.00	52	53	78	77	49	75	65	49	40	54	44	61	40	72	74	70	38	57	0	24	2	925,000$
6	Daniel Walcott		X			100.00	50	50	66	75	48	64	54	43	40	35	51	70	40	84	74	40	38	55	0	30	2	850,000$
7	Dino Kambeitz			X		100.00	67	64	81	75	68	65	55	36	40	29	43	70	40	72	69	70	34	54	0	24	2	925,000$
8	Shawn Element	X				100.00	64	71	59	75	60	73	63	37	70	32	42	63	40	72	73	70	34	54	0	24	2	700,000$
9	Curtis Hall	X				100.00	76	69	83	75	74	60	50	36	70	35	37	65	40	72	66	70	38	53	0	24	2	700,000$
10	Chase Wouters	X				100.00	56	58	75	75	54	75	65	39	70	37	41	52	40	72	74	70	23	52	0	24	2	700,000$
11	Henri Nikkanen	X				100.00	61	52	84	75	77	66	56	34	70	27	40	62	40	70	68	75	19	52	0	23	2	700,000$
12	Keean Washkurak		X			100.00	51	50	67	75	52	72	62	32	40	28	35	50	40	70	71	75	30	49	0	23	2	700,000$
13	Logan Mailloux (R)				X	100.00	70	62	65	81	77	76	71	56	40	58	54	52	40	66	71	85	34	63	0	21	3	925,000$
14	Radim Simek				X	100.00	87	54	78	75	61	55	50	41	40	42	40	64	40	88	72	30	38	60	0	32	1	725,000$
15	Corey Schueneman				X	100.00	55	47	83	75	59	68	63	40	40	43	38	62	40	82	75	45	38	59	0	29	1	975,000$
16	Joseph Cecconi				X	100.00	75	65	69	75	75	62	57	35	40	37	32	57	40	78	70	55	34	58	0	27	1	860,000$
17	Daniil Chayka				X	100.00	55	48	82	75	67	68	63	30	40	28	32	50	40	68	68	80	38	54	0	22	2	925,000$
Scratches
1	Riley Damiani	X				100.00	52	77	79	75	47	76	66	40	70	36	43	50	40	72	74	70	22	52	0	24	2	700,000$
2	Ryan Chyzowski		X			100.00	49	50	86	75	48	60	50	28	40	22	35	53	40	72	66	70	20	46	0	24	2	700,000$

	TEAM AVERAGE					100.00	62	56	77	77	61	69	62	42	56	39	44	60	43	75	72	63	32	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	Brandon Halverson	100.00	76	50	60	94	59	64	62	57	60	64	90	80	72	50	56	65	0	28	3	575,000$
2	Pavel Cajan (R)	100.00	76	50	60	84	50	50	50	50	50	50	40	68	59	80	56	57	0	22	2	750,000$
Scratches

	TEAM AVERAGE	100.00	76	50	60	89	55	57	56	54	55	57	65	74	66	65	56	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pascal Vincent	70	69	76	91	83	88	64	CAN	53	3	1,000,000$

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	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	Link
Brandon Halverson	HC (Njd)	G	28	1996-03-29	No	203 Lbs	6 ft4	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA		Link / NHL Link
Chase Wouters	HC (Njd)	C	24	2000-02-08	No	186 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Corey Schueneman	HC (Njd)	D	29	1995-09-02	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	975,000$	0$	0$	No	UFA				Link / NHL Link
Curtis Hall	HC (Njd)	C	24	2000-04-26	No	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Daniel Walcott	HC (Njd)	LW	30	1994-02-19	No	174 Lbs	6 ft0	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$	UFA			Link / NHL Link
Daniil Chayka	HC (Njd)	D	22	2002-10-22	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Dino Kambeitz	HC (Njd)	RW	24	2000-01-25	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Emilio Pettersen	HC (Njd)	LW	24	2000-04-03	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA			Link / NHL Link
Henri Nikkanen	HC (Njd)	C	23	2001-04-28	No	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
John Farinacci	HC (Njd)	C	23	2001-02-14	Yes	197 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA			NHL Link
Joseph Cecconi	HC (Njd)	D	27	1997-05-23	No	216 Lbs	6 ft3	No	No	No	1	Pro & Farm	860,000$	0$	0$	No	UFA				Link / NHL Link
Keean Washkurak	HC (Njd)	LW	23	2001-08-16	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Lias Andersson	HC (Njd)	C	26	1998-10-13	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,400,000$	0$	0$	No	RFA				Link / NHL Link
Logan Mailloux	HC (Njd)	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
Pavel Cajan	HC (Njd)	G	22	2002-11-13	Yes	174 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA			Link / NHL Link
Radim Simek	HC (Njd)	D	32	1992-09-20	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	725,000$	0$	0$	No	UFA				Link / NHL Link
Riley Damiani	HC (Njd)	C	24	2000-03-20	No	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Ryan Chyzowski	HC (Njd)	LW	24	2000-05-14	No	170 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Ryan Johansen	HC (Njd)	C	32	1992-07-31	No	218 Lbs	6 ft3	Yes	No	Yes	3	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$	3,000,000$	UFA		Link / NHL Link
Shawn Element	HC (Njd)	C	24	2000-04-23	No	201 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	RFA			Link / NHL Link
Tyson Jost	HC (Njd)	C	26	1998-03-14	No	187 Lbs	5 ft11	No	No	No	4	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	1,750,000$	1,750,000$	UFA	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	25.33	196 Lbs	6 ft1	2.05	963,571$

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	3	2	1	0	0	0	0	0	17	14	3	2	1	1	0	0	0	0	0	13	12	1	1	1	0	0	0	0	0	0	4	2	2	4	0.667	17	32	49	0	0	130	101	79	9	129	936	952	913	45	107	33	29	82	12	2	16.67%	12	2	83.33%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
2	BaronsOKC	4	1	1	0	0	1	1	0	17	20	-3	2	0	0	0	0	1	1	0	8	8	0	2	1	1	0	0	0	0	0	9	12	-3	5	0.625	17	31	48	0	0	130	101	79	9	170	936	952	913	45	188	33	54	134	11	3	27.27%	27	5	81.48%	1	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
3	BigBadStars	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	4	5	-1	1	0.500	4	7	11	0	0	130	101	79	9	37	936	952	913	45	30	8	8	21	3	0	0.00%	4	1	75.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
4	Checkers	2	2	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	9	5	4	4	1.000	9	18	27	0	0	130	101	79	9	83	936	952	913	45	43	22	18	53	13	0	0.00%	9	2	77.78%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
5	Cyclones	4	3	1	0	0	0	0	0	16	15	1	2	2	0	0	0	0	0	0	10	8	2	2	1	1	0	0	0	0	0	6	7	-1	6	0.750	16	31	47	0	0	130	101	79	9	140	936	952	913	45	98	27	49	96	23	6	26.09%	17	4	76.47%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
6	Darkness	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	130	101	79	9	43	936	952	913	45	50	12	12	27	4	1	25.00%	6	3	50.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
7	Draveurs	4	3	1	0	0	0	0	0	24	18	6	2	2	0	0	0	0	0	0	17	10	7	2	1	1	0	0	0	0	0	7	8	-1	6	0.750	24	46	70	0	0	130	101	79	9	196	936	952	913	45	170	42	34	126	18	5	27.78%	17	4	76.47%	1	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
8	Eagles	4	2	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	5	5	0	2	1	1	0	0	0	0	0	5	5	0	4	0.500	10	20	30	0	0	130	101	79	9	139	936	952	913	45	113	25	37	112	15	4	26.67%	16	3	81.25%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
9	EvilSharks	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	12	18	0	0	130	101	79	9	41	936	952	913	45	37	10	8	39	4	1	25.00%	4	1	75.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
10	Griffins	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	130	101	79	9	36	936	952	913	45	22	6	8	21	2	0	0.00%	3	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
11	IceBears	5	1	2	0	1	1	0	0	19	20	-1	3	1	0	0	1	1	0	0	10	8	2	2	0	2	0	0	0	0	0	9	12	-3	5	0.500	19	35	54	0	0	130	101	79	9	204	936	952	913	45	147	40	44	111	23	5	21.74%	20	2	90.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
12	IceHawks	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	130	101	79	9	49	936	952	913	45	21	5	10	21	6	1	16.67%	5	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
13	IceHogs	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	130	101	79	9	50	936	952	913	45	50	11	6	19	0	0	0.00%	3	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
14	Iceberg	4	2	2	0	0	0	0	0	14	14	0	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	7	8	-1	4	0.500	14	28	42	1	0	130	101	79	9	135	936	952	913	45	173	51	41	114	13	3	23.08%	17	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
15	Magics	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	130	101	79	9	43	936	952	913	45	23	9	8	17	3	0	0.00%	4	1	75.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
16	Mighty Ducks	4	2	1	0	0	1	0	0	14	13	1	2	0	1	0	0	1	0	0	4	7	-3	2	2	0	0	0	0	0	0	10	6	4	5	0.625	14	26	40	0	0	130	101	79	9	142	936	952	913	45	128	38	40	120	16	3	18.75%	14	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
17	Nordiques	4	2	2	0	0	0	0	0	16	14	2	2	2	0	0	0	0	0	0	10	4	6	2	0	2	0	0	0	0	0	6	10	-4	4	0.500	16	31	47	0	0	130	101	79	9	126	936	952	913	45	111	31	42	113	15	2	13.33%	20	6	70.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
18	Oceanic	1	0	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	11	17	0	0	130	101	79	9	40	936	952	913	45	48	9	8	27	4	0	0.00%	4	1	75.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
19	Pantheres	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	130	101	79	9	33	936	952	913	45	46	7	8	35	4	1	25.00%	4	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
20	Remparts	3	1	2	0	0	0	0	0	18	18	0	2	1	1	0	0	0	0	0	13	11	2	1	0	1	0	0	0	0	0	5	7	-2	2	0.333	18	34	52	0	0	130	101	79	9	133	936	952	913	45	133	50	33	77	13	3	23.08%	11	5	54.55%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
21	Roadrunners	4	1	2	0	1	0	0	0	16	19	-3	2	1	1	0	0	0	0	0	9	11	-2	2	0	1	0	1	0	0	0	7	8	-1	4	0.500	16	30	46	1	0	130	101	79	9	154	936	952	913	45	160	44	45	106	13	1	7.69%	18	2	88.89%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
22	Sagueneens	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	130	101	79	9	24	936	952	913	45	25	3	12	25	2	0	0.00%	5	1	80.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
23	Senators	1	0	0	0	0	0	1	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	6	5	1	2	1.000	6	10	16	0	0	130	101	79	9	30	936	952	913	45	23	10	12	19	4	1	25.00%	6	3	50.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
24	SilverKnights	5	4	1	0	0	0	0	0	24	17	7	3	3	0	0	0	0	0	0	15	9	6	2	1	1	0	0	0	0	0	9	8	1	8	0.800	24	45	69	0	0	130	101	79	9	199	936	952	913	45	160	33	79	140	22	5	22.73%	25	3	88.00%	1	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
25	Spiders	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	130	101	79	9	59	936	952	913	45	21	3	4	15	5	2	40.00%	1	0	100.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
26	Thunder	1	0	0	0	0	0	0	1	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	6	7	-1	1	0.500	6	12	18	0	0	130	101	79	9	39	936	952	913	45	48	24	39	24	4	0	0.00%	4	1	75.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
27	Vikings	5	2	3	0	0	0	0	0	23	26	-3	2	2	0	0	0	0	0	0	12	8	4	3	0	3	0	0	0	0	0	11	18	-7	4	0.400	23	44	67	0	0	130	101	79	9	181	936	952	913	45	186	44	47	154	25	6	24.00%	18	2	88.89%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
28	WolfPack	4	2	1	0	0	0	1	0	19	12	7	2	1	1	0	0	0	0	0	9	4	5	2	1	0	0	0	0	1	0	10	8	2	6	0.750	19	35	54	0	1	130	101	79	9	147	936	952	913	45	100	33	42	109	11	2	18.18%	20	2	90.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
29	Wolves	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	130	101	79	9	26	936	952	913	45	29	6	17	24	3	0	0.00%	5	2	60.00%	0	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
	Total	73	35	25	0	4	4	3	2	317	288	29	37	23	8	0	2	3	1	0	175	129	46	36	12	17	0	2	1	2	2	142	159	-17	90	0.616	317	601	918	2	1	130	101	79	9	2828	936	952	913	45	2490	669	794	1981	291	57	19.59%	319	56	82.45%	3	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
	_Since Last GM Reset	73	35	25	0	4	4	3	2	317	288	29	37	23	8	0	2	3	1	0	175	129	46	36	12	17	0	2	1	2	2	142	159	-17	90	0.616	317	601	918	2	1	130	101	79	9	2828	936	952	913	45	2490	669	794	1981	291	57	19.59%	319	56	82.45%	3	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
	_Vs Conference	59	30	22	0	2	3	2	0	256	235	21	30	18	7	0	1	3	1	0	142	111	31	29	12	15	0	1	0	1	0	114	124	-10	71	0.602	256	486	742	2	1	130	101	79	9	2278	936	952	913	45	2017	546	634	1647	243	50	20.58%	261	42	83.91%	3	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
	_Vs Division	23	15	12	0	1	1	0	0	100	101	-1	11	11	3	0	0	1	0	0	49	46	3	12	4	9	0	1	0	0	0	51	55	-4	33	0.717	100	188	288	1	0	130	101	79	9	906	936	952	913	45	896	240	319	652	86	16	18.60%	110	21	80.91%	2	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
73	90	L3	317	601	918	2828	2490	669	794	1981	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
73	35	25	4	4	3	2	317	288

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	23	8	2	3	1	0	175	129

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	12	17	2	1	2	2	142	159

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	0	0	1	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
291	57	19.59%	319	56	82.45%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
936	952	913	45	130	101	79	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1655	1186	1928	515	840	400

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	17	SilverKnights	4	HC	7	BW			BoxScore
3	23	HC	3	Cyclones	2	AW			BoxScore
6	41	HC	2	Vikings	5	AL			BoxScore
8	58	Draveurs	7	HC	10	BW			BoxScore
10	66	HC	2	Eagles	4	AL			BoxScore
12	85	HC	5	SilverKnights	6	AL			BoxScore
13	93	IceBears	3	HC	4	BW	X		BoxScore
16	113	HC	4	Draveurs	2	AW			BoxScore
17	123	Nordiques	1	HC	6	BW			BoxScore
19	143	HC	5	Mighty Ducks	2	AW			BoxScore
21	154	Remparts	3	HC	8	BW			BoxScore
24	175	HC	5	IceBears	7	AL			BoxScore
25	186	WolfPack	4	HC	3	BL			BoxScore
28	208	Roadrunners	4	HC	5	BW			BoxScore
30	225	IceBears	3	HC	2	BL	X		BoxScore
34	249	HC	4	BigBadStars	5	AL	X	X	BoxScore
37	262	Griffins	1	HC	5	BW			BoxScore
39	276	HC	5	Roadrunners	4	AW	X		BoxScore
41	292	HC	4	Iceberg	3	AW			BoxScore
42	302	IceBears	2	HC	4	BW			BoxScore
45	318	Mighty Ducks	3	HC	2	BL	X		BoxScore
48	341	HC	1	Wolves	2	AL			BoxScore
50	353	BaronsOKC	4	HC	5	BW	X	X	BoxScore
52	368	HC	3	Draveurs	6	AL			BoxScore
54	382	SilverKnights	1	HC	3	BW			BoxScore
56	404	SilverKnights	4	HC	5	BW			BoxScore
58	417	HC	1	Pantheres	6	AL			BoxScore
62	440	Remparts	8	HC	5	BL			BoxScore
63	450	HC	6	Vikings	7	AL			BoxScore
66	469	HC	5	Checkers	4	AW			BoxScore
67	480	Cyclones	4	HC	5	BW			BoxScore
70	502	Oceanic	7	HC	6	BL			BoxScore
71	514	HC	6	EvilSharks	5	AW	X		BoxScore
73	529	Bandits	4	HC	8	BW			BoxScore
76	550	HC	4	SilverKnights	2	AW			BoxScore
78	563	Spiders	2	HC	5	BW			BoxScore
79	574	HC	4	IceBears	5	AL			BoxScore
82	589	HC	2	Roadrunners	4	AL			BoxScore
84	601	HC	7	WolfPack	6	AW	X	X	BoxScore
85	610	IceHawks	1	HC	4	BW			BoxScore
88	632	Mighty Ducks	4	HC	2	BL			BoxScore
90	649	HC	3	Cyclones	5	AL			BoxScore
92	662	HC	3	Iceberg	5	AL			BoxScore
94	670	IceHogs	2	HC	6	BW			BoxScore
96	693	Nordiques	3	HC	4	BW			BoxScore
98	704	HC	6	BaronsOKC	4	AW			BoxScore
101	721	HC	4	Darkness	5	AL	X		BoxScore
102	732	Iceberg	2	HC	5	BW			BoxScore
105	754	Vikings	5	HC	6	BW			BoxScore
109	782	HC	4	Checkers	1	AW			BoxScore
110	789	Bandits	8	HC	5	BL			BoxScore
112	808	HC	3	Eagles	1	AW			BoxScore
114	819	Eagles	1	HC	3	BW			BoxScore
118	847	BaronsOKC	4	HC	3	BL	X		BoxScore
121	863	HC	5	Mighty Ducks	4	AW			BoxScore
123	879	Sagueneens	3	HC	4	BW			BoxScore
127	904	Cyclones	4	HC	5	BW			BoxScore
129	920	HC	4	Bandits	2	AW			BoxScore
130	935	Draveurs	3	HC	7	BW			BoxScore
132	943	HC	4	Nordiques	5	AL			BoxScore
134	964	Magics	2	HC	3	BW	X		BoxScore
136	976	HC	3	WolfPack	2	AW			BoxScore
138	997	Roadrunners	7	HC	4	BL			BoxScore
139	1002	HC	6	Senators	5	AW	X	X	BoxScore
142	1027	Iceberg	4	HC	2	BL			BoxScore
144	1034	HC	2	Nordiques	5	AL			BoxScore
145	1043	HC	3	BaronsOKC	8	AL			BoxScore
147	1060	WolfPack	0	HC	6	BW			BoxScore
149	1072	HC	6	Thunder	7	AL	X	X	BoxScore
152	1091	Vikings	3	HC	6	BW			BoxScore
154	1105	HC	5	Remparts	7	AL			BoxScore
155	1112	HC	3	Vikings	6	AL			BoxScore
158	1125	Eagles	4	HC	2	BL			BoxScore
162	1150	HC	-	Bandits	-
164	1161	Checkers	-	HC	-
168	1183	Checkers	-	HC	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173	1199	HC	-	Remparts	-
174	1206	HC	-	National	-

HC 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 Mair	1519	266	437	703	128	1284	2075	1915	2670	9.96%	872	25091	16.52	49	78	127	257	4	4	8	52	43	18	50.50%	4	0.56	5	31
2	Peter Sykora	358	131	159	290	-12	115	293	725	1000	13.10%	102	6528	18.24	30	49	79	121	5	2	7	17	15	9	49.56%	2	0.89	5	33
3	Chris Campoli	345	57	123	180	-80	313	676	487	502	11.35%	364	8033	23.28	40	42	82	336	0	1	1	4	10	4	76.92%	0	0.45	2	3
4	Patrik Zackrisson	381	70	107	177	-98	73	135	1149	609	11.49%	84	7615	19.99	21	40	61	125	1	0	1	6	6	4	62.90%	1	0.46	3	23
5	Marty Murray	120	77	83	160	15	60	202	259	608	12.66%	109	2790	23.25	23	27	50	86	1	3	4	11	10	6	57.10%	3	1.15	5	19

HC 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	Rastislav Stana	159	76	62	18	0.903	3.12	9366	14	2	487	5032	2407	8	6	0.744	82
2	Jeff Drouin-Deslauriers	187	70	88	24	0.898	2.72	11027	20	13	499	4869	0	7	0	0.689	103
3	Cristopher Nilstorp	136	40	77	19	0.896	2.75	8040	8	6	368	3524	0	4	1	0.783	83
4	Erik Ersberg	78	35	33	8	0.901	1.96	4674	2	14	153	1544	0	1	1	0.808	52
5	Fredrik Norrena	111	29	67	8	0.889	2.74	6456	6	5	295	2649	439	3	1	0.659	41

HC 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	39	29	0	4	2	3	5	265	252	13	41	21	12	0	3	1	1	3	145	121	24	41	18	17	0	1	1	2	2	120	131	-11	88	265	428	693	0	1	0	69	107	82	2602	0	827	916	826	2538	837	1246	2039	262	47	17.94%	251	61	75.70%	3	919	1804	50.94%	908	1866	48.66%	697	1362	51.17%	1738	930	1770	864	1638	826
2018	82	36	29	0	7	3	1	6	264	256	8	41	21	13	0	2	1	1	3	133	126	7	41	15	16	0	5	2	0	3	131	130	1	89	264	434	698	0	0	0	60	110	86	2587	0	697	992	859	2536	890	1022	2079	241	56	23.24%	197	40	79.70%	8	814	1759	46.28%	836	1813	46.11%	566	1309	43.24%	1632	828	1674	824	1666	817
2019	81	30	28	0	2	4	9	8	269	262	7	40	17	14	0	1	1	4	3	123	119	4	41	13	14	0	1	3	5	5	146	143	3	68	269	414	683	1	1	0	49	104	105	2490	0	660	939	849	2565	860	1228	2047	234	67	28.63%	211	50	76.30%	6	761	1833	41.52%	790	1934	40.85%	476	1213	39.24%	1551	768	1726	836	1672	791
2020	82	29	37	0	4	1	5	6	288	285	3	41	15	19	0	1	1	1	4	152	145	7	41	14	18	0	3	0	4	2	136	140	-4	67	288	464	752	5	1	0	48	126	105	2606	0	670	989	921	2719	915	912	1847	219	55	25.11%	194	42	78.35%	5	809	1874	43.17%	877	1947	45.04%	604	1298	46.53%	1569	795	1767	821	1646	796
2021	82	14	56	0	2	1	3	6	116	208	-92	41	5	33	0	1	1	0	1	55	111	-56	41	9	23	0	1	0	3	5	61	97	-36	33	116	201	317	1	5	0	35	33	43	1246	0	390	418	428	1829	558	1008	1765	352	36	10.23%	436	71	83.72%	2	1081	2018	53.57%	1183	2434	48.60%	576	1087	52.99%	1803	1204	2139	635	1031	490
2022	81	24	36	0	4	3	8	6	152	170	-18	41	16	15	0	1	2	4	3	79	74	5	40	8	21	0	3	1	4	3	73	96	-23	59	152	255	407	1	13	0	54	44	42	1450	0	482	471	470	1618	486	741	1660	363	48	13.22%	310	45	85.48%	2	1077	2154	50.00%	1073	2179	49.24%	561	1116	50.27%	2030	1424	1896	585	1015	515
2023	82	32	28	0	2	4	8	8	208	206	2	41	16	15	0	2	1	6	1	108	105	3	41	16	13	0	0	3	2	7	100	101	-1	72	208	356	564	0	9	0	65	63	70	1731	0	541	556	616	2019	549	1013	2094	385	71	18.44%	417	64	84.65%	2	1208	2295	52.64%	1233	2484	49.64%	597	1204	49.58%	2012	1387	1966	600	1031	521
2024	82	20	42	0	4	5	5	6	167	222	-55	41	12	19	0	2	4	0	4	93	114	-21	41	8	23	0	2	1	5	2	74	108	-34	69	167	275	442	2	6	0	54	58	46	1578	0	508	522	529	2045	531	836	1873	367	50	13.62%	323	46	85.76%	0	1215	2193	55.40%	1280	2486	51.49%	639	1214	52.64%	1899	1290	2045	618	1050	518
2025	82	12	54	0	0	2	7	7	138	260	-122	41	7	24	0	0	0	7	3	77	119	-42	41	5	30	0	0	2	0	4	61	141	-80	47	138	245	383	1	2	0	46	38	47	1426	0	447	477	483	2366	688	549	1454	290	42	14.48%	232	50	78.45%	1	1093	1982	55.15%	1436	2593	55.38%	697	1215	57.37%	1748	1182	2192	619	1051	504
2026	82	17	47	0	1	6	4	7	143	241	-98	41	9	23	0	0	4	1	4	74	116	-42	41	8	24	0	1	2	3	3	69	125	-56	57	143	245	388	1	2	0	48	44	46	1394	0	463	468	447	2239	621	580	1637	373	43	11.53%	245	37	84.90%	0	1044	2037	51.25%	1225	2505	48.90%	604	1205	50.12%	1809	1210	2123	639	1059	514
2027	82	20	49	0	2	2	3	6	171	257	-86	41	11	22	0	0	1	2	5	92	123	-31	41	9	27	0	2	1	1	1	79	134	-55	58	171	309	480	0	4	0	53	64	49	1656	0	525	590	520	2363	622	608	1691	318	43	13.52%	263	52	80.23%	0	901	2142	42.06%	1051	2561	41.04%	508	1240	40.97%	1693	1131	2251	645	1036	477
2030	82	13	57	0	1	3	1	7	173	308	-135	41	7	28	0	1	1	1	3	86	151	-65	41	6	29	0	0	2	0	4	87	157	-70	40	173	314	487	0	1	0	60	53	58	1596	0	481	538	562	2519	746	1187	2386	300	38	12.67%	527	89	83.11%	2	1042	2243	46.46%	1228	2650	46.34%	589	1265	46.56%	1818	1206	2125	611	1025	491
2031	82	29	30	0	2	3	8	10	227	232	-5	41	14	11	0	2	1	6	7	131	124	7	41	15	19	0	0	2	2	3	96	108	-12	91	227	401	628	1	6	0	77	65	75	2075	0	689	692	651	1919	552	838	1934	387	54	13.95%	379	68	82.06%	7	1398	2504	55.83%	1282	2273	56.40%	716	1213	59.03%	2117	1504	1897	591	1005	515
2032	82	23	41	0	2	6	4	6	185	242	-57	41	11	22	0	0	3	2	3	102	128	-26	41	12	19	0	2	3	2	3	83	114	-31	70	185	329	514	2	4	0	64	65	50	2029	0	692	652	665	2077	626	920	1959	354	43	12.15%	382	53	86.13%	3	1153	2396	48.12%	1178	2536	46.45%	589	1219	48.32%	1948	1355	2031	609	1014	488
2033	82	40	28	0	4	4	4	2	326	284	42	41	20	13	0	4	1	3	0	171	136	35	41	20	15	0	0	3	1	2	155	148	7	102	326	620	946	1	4	0	130	99	89	2986	0	986	996	974	2513	683	778	2149	351	64	18.23%	333	52	84.38%	3	1325	2838	46.69%	1110	2585	42.94%	587	1342	43.74%	1924	1386	2091	573	946	457
2034	82	40	27	0	3	3	6	3	342	296	46	41	20	14	0	1	3	0	3	169	161	8	41	20	13	0	2	0	6	0	173	135	38	104	342	642	984	3	2	0	126	119	88	3144	0	995	1065	1036	2638	742	781	2179	358	50	13.97%	350	71	79.71%	4	1331	2895	45.98%	1282	2820	45.46%	619	1390	44.53%	1893	1362	2130	584	956	456
2035	82	38	33	0	3	1	2	5	317	280	37	41	24	13	0	1	0	1	2	173	134	39	41	14	20	0	2	1	1	3	144	146	-2	92	317	603	920	1	0	0	121	99	92	3037	0	971	1054	970	2419	747	779	2032	375	69	18.40%	314	50	84.08%	4	1364	2929	46.57%	1193	2571	46.40%	636	1361	46.73%	1935	1401	2072	580	955	460
2036	80	46	22	0	5	5	1	1	324	269	55	40	27	8	0	3	1	1	0	174	123	51	40	19	14	0	2	4	0	1	150	146	4	110	324	625	949	1	4	0	124	100	94	2942	0	953	948	1010	2431	678	817	2091	336	58	17.26%	331	53	83.99%	2	1237	2773	44.61%	1128	2601	43.37%	564	1313	42.96%	1797	1279	2109	575	925	438
2037	82	37	34	0	2	4	2	3	313	307	6	41	21	13	0	2	2	1	2	165	144	21	41	16	21	0	0	2	1	1	148	163	-15	89	313	584	897	2	1	108	103	98	5	3068	967	1047	1020	50	2713	739	862	2154	365	64	17.53%	358	50	86.03%	6	1341	2866	46.79%	1246	2724	45.74%	586	1332	43.99%	1886	1352	2114	578	956	458
2038	73	35	25	0	4	4	3	2	317	288	29	37	23	8	0	2	3	1	0	175	129	46	36	12	17	0	2	1	2	2	142	159	-17	90	317	601	918	2	1	130	101	79	9	2828	936	952	913	45	2490	669	794	1981	291	57	19.59%	319	56	82.45%	3	1207	2585	46.69%	1131	2459	45.99%	576	1265	45.53%	1655	1186	1928	515	840	400
Total Regular Season	1627	574	732	0	58	66	87	110	4705	5125	-420	814	317	339	0	29	32	43	54	2477	2503	-26	813	257	393	0	29	34	44	56	2228	2622	-394	1495	4705	8345	13050	25	67	238	1487	1568	1281	44471	1903	13976	15216	12911	46556	13739	17499	39051	6521	1055	16.18%	6372	1100	82.74%	63	22320	46120	48.40%	22670	48021	47.21%	11987	25163	47.64%	36466	24188	40054	12908	22526	10941
Playoff
2017	5	1	4	0	0	0	0	0	14	25	-11	3	1	2	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	6	10	-4	2	14	22	36	0	0	0	4	3	7	163	0	41	41	81	162	53	64	115	10	3	30.00%	19	8	57.89%	1	56	117	47.86%	53	118	44.92%	38	98	38.78%	102	56	1870	911	96	47
2018	7	3	4	0	0	0	0	0	16	22	-6	4	3	1	0	0	0	0	0	12	10	2	3	0	3	0	0	0	0	0	4	12	-8	6	16	27	43	0	0	0	2	10	3	226	0	55	95	72	186	61	61	185	21	3	14.29%	14	3	78.57%	0	68	167	40.72%	59	143	41.26%	35	99	35.35%	140	72	139	71	142	66
2019	13	7	6	0	0	0	0	0	40	45	-5	6	4	2	0	0	0	0	0	20	22	-2	7	3	4	0	0	0	0	0	20	23	-3	14	40	69	109	0	0	0	12	11	14	419	0	106	172	122	506	174	205	331	39	10	25.64%	37	7	81.08%	1	158	341	46.33%	160	358	44.69%	86	214	40.19%	261	127	288	137	282	139
2023	5	1	4	0	0	0	0	0	11	17	-6	2	0	2	0	0	0	0	0	4	10	-6	3	1	2	0	0	0	0	0	7	7	0	2	11	19	30	0	0	0	2	1	8	167	0	49	27	49	209	52	68	148	24	5	20.83%	29	2	93.10%	0	118	199	59.30%	115	217	53.00%	47	79	59.49%	148	101	139	41	71	37
2033	14	8	6	0	0	0	0	0	52	50	2	7	5	2	0	0	0	0	0	28	29	-1	7	3	4	0	0	0	0	0	24	21	3	16	52	99	151	1	0	0	18	20	13	471	0	148	156	144	388	140	143	395	59	9	15.25%	62	12	80.65%	0	187	459	40.74%	174	453	38.41%	88	240	36.67%	310	220	391	107	170	80
2034	6	2	4	0	0	0	0	0	19	21	-2	3	1	2	0	0	0	0	0	10	11	-1	3	1	2	0	0	0	0	0	9	10	-1	4	19	37	56	0	1	0	6	8	5	202	0	53	72	61	194	60	59	180	12	3	25.00%	25	3	88.00%	0	63	184	34.24%	81	227	35.68%	34	92	36.96%	118	81	183	46	74	32
2036	10	4	6	0	0	0	0	0	41	46	-5	5	2	3	0	0	0	0	0	27	24	3	5	2	3	0	0	0	0	0	14	22	-8	8	41	76	117	1	0	0	14	15	11	438	0	131	141	155	423	108	74	276	53	5	9.43%	37	6	83.78%	0	214	416	51.44%	178	380	46.84%	78	174	44.83%	257	189	241	66	111	56
2037	6	2	4	0	0	0	0	0	16	20	-4	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	9	12	-3	4	16	30	46	0	0	8	5	1	2	211	75	77	51	8	144	45	52	144	19	3	15.79%	26	3	88.46%	0	93	216	43.06%	82	168	48.81%	37	93	39.78%	134	91	163	49	78	35
Total Playoff	66	28	38	0	0	0	0	0	209	246	-37	33	17	16	0	0	0	0	0	116	129	-13	33	11	22	0	0	0	0	0	93	117	-24	56	209	379	588	2	1	8	63	69	63	2297	75	660	755	692	2212	693	726	1774	237	41	17.30%	249	44	82.33%	2	957	2099	45.59%	902	2064	43.70%	443	1089	40.68%	1473	942	3418	1431	1027	494

HC Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	John Carlson	90	14	22	36	-33	64	115	115	163	8.59%	53	1468	16.31	3	5	8	13	1	1	2	7	1	0	44.14%	0	0.49
2	Peter Sykora	18	8	9	17	-1	4	25	42	60	13.33%	13	384	21.34	1	4	5	6	1	0	1	2	1	0	45.71%	0	0.88
3	Marty Murray	13	7	9	16	-2	7	17	40	70	10.00%	10	333	25.67	3	3	6	12	0	1	1	0	0	2	52.63%	0	0.96
4	Anders Eriksson	16	5	10	15	1	12	33	35	44	11.36%	28	436	27.31	4	1	5	11	0	0	0	0	1	0	0.00%	1	0.69
5	Keith Aucoin	18	4	11	15	-14	5	23	44	66	6.06%	11	370	20.61	0	4	4	6	0	0	0	1	1	0	36.31%	0	0.81

HC Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A
1	Rastislav Stana	14	7	5	1	0.909	3.35	825	4	46	508	242	1
2	Fredrik Norrena	8	3	4	0	0.886	2.94	428	0	21	184	87	1
3	Andy Chiodo	6	1	4	0	0.846	5.00	300	0	25	162	71	1
4	Jeff Drouin-Deslauriers	5	1	1	3	0.917	2.74	328	0	15	180	0	0
5	Erik Ersberg	1	0	0	0	0.931	3.87	31	2	2	29	0	0