Canadian Hockey League

Flames
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	National 11-3-2, 24pts	4	FINAL	2	Darkness 7-9-0, 14pts

Team Stats
W4	Streak	L3
5-2-1	Home Record	5-4-0
6-1-1	Away Record	2-5-0
8-1-1	Last 10 Games	5-5-0
3.38	Goals Per Game	3.88
2.44	Goals Against Per Game	4.19
21.74%	Power Play Percentage	11.29%
87.88%	Penalty Kill Percentage	84.42%

Vikings
10-3-4, 24pts

FINAL

Darkness
7-9-0, 14pts

Team Stats
W1	Streak	L3
4-0-4	Home Record	5-4-0
6-3-0	Away Record	2-5-0
6-2-2	Last 10 Games	5-5-0
3.12	Goals Per Game	3.88
2.47	Goals Against Per Game	4.19
17.65%	Power Play Percentage	11.29%
91.04%	Penalty Kill Percentage	84.42%

Darkness
7-9-0, 14pts

Day 38

SilverKnights
10-4-2, 22pts

Team Stats
L3	Streak	L2
5-4-0	Home Record	5-1-2
2-5-0	Away Record	5-3-0
5-5-0	Last 10 Games	5-3-2
3.88	Goals Per Game	4.31
4.19	Goals Against Per Game	3.44
11.29%	Power Play Percentage	17.57%
84.42%	Penalty Kill Percentage	83.08%

Thunder
11-7-0, 22pts

Day 40

Darkness
7-9-0, 14pts

Team Stats
W1	Streak	L3
3-5-0	Home Record	5-4-0
8-2-0	Away Record	2-5-0
5-5-0	Last 10 Games	5-5-0
3.39	Goals Per Game	3.88
2.94	Goals Against Per Game	4.19
13.33%	Power Play Percentage	11.29%
81.08%	Penalty Kill Percentage	84.42%

Darkness
7-9-0, 14pts

Day 42

Magics
8-8-0, 16pts

Team Stats
L3	Streak	L3
5-4-0	Home Record	4-4-0
2-5-0	Away Record	4-4-0
5-5-0	Last 10 Games	5-5-0
3.88	Goals Per Game	2.69
4.19	Goals Against Per Game	2.63
11.29%	Power Play Percentage	15.69%
84.42%	Penalty Kill Percentage	87.93%

Team Leaders
	Goals William Trudeau 3	Assists Laurent Dauphin 4

	Points Laurent Dauphin 4	Plus/Minus William Trudeau 2

Team Stats
Goals For 62 3.88 GFG	Shots For 526 32.88 Avg	Power Play Percentage 11.3% 7 GF	Offensive Zone Start 39.5%
Goals Against 67 4.19 GAA	Shots Against 446 27.88 Avg	Penalty Kill Percentage 84.4% 12 GA	Defensive Zone Start 39.4%

Team Info
	General Manager	Yannick Lavallé
	Coach	Jeff Hackett
	Division	Atlantic
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	23
	Contract Limit	47 / 50
	Prospects	40
Team History
	This Season	7-9-0 (14PTS)
	History	770-656-150 (0.489%)
	Playoff Appearances	11
	Playoff Record (W-L)	28-49
	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	John Beecher	X				100.00	90	63	81	75	75	72	79	53	90	45	61	69	40	70	71	75	22	63	0	23	2	925,000$
2	Ivan Miroshnichenko (R)		X			100.00	96	46	84	79	56	75	57	57	40	56	58	64	40	64	70	90	24	61	0	20	3	925,000$
3	Olle Lycksell			X		100.00	45	38	83	82	40	71	55	56	40	58	55	64	40	74	73	65	24	59	0	25	1	750,000$
4	Alex Chiasson			X		100.00	56	54	84	79	73	60	50	63	40	42	55	52	58	92	76	20	14	58	0	34	2	2,250,000$
5	Laurent Dauphin	X				100.00	59	45	80	75	54	60	50	47	89	40	44	60	40	82	71	45	22	54	0	29	3	950,000$
6	Luke Toporowski		X			100.00	55	51	78	75	49	75	65	42	40	40	45	57	40	70	73	75	20	54	0	23	3	575,000$
7	William Dufour		X			100.00	47	45	77	75	73	64	54	44	40	35	52	50	40	68	66	80	22	53	0	22	2	925,000$
8	Ryder Rolston (R)		X			100.00	57	49	89	83	65	71	61	38	40	32	43	55	40	70	71	75	22	53	0	23	3	575,000$
9	Avery Hayes (R)			X		100.00	43	40	86	91	45	60	50	38	40	28	47	59	40	68	64	80	24	51	0	22	3	575,000$
10	Gavin Hain (R)	X				100.00	56	55	81	88	56	60	50	34	70	27	40	63	40	66	63	85	24	51	0	21	3	575,000$
11	Jaxsen Wiebe (R)			X		100.00	64	63	70	84	65	60	50	34	40	23	44	59	40	68	64	80	22	51	0	22	3	575,000$
12	Troy Stecher				X	100.00	69	42	78	78	49	80	80	51	40	49	52	78	40	84	82	40	18	67	0	30	3	1,750,000$
13	Sean Day				X	100.00	85	59	84	75	80	58	53	44	40	47	41	57	40	76	67	60	24	60	0	26	1	935,000$
14	William Trudeau				X	100.00	51	52	70	75	56	74	69	41	40	39	44	54	40	68	71	80	22	57	0	22	2	925,000$
15	Lleyton Moore (R)				X	100.00	43	44	81	91	41	55	50	40	40	32	48	65	40	68	62	80	24	56	0	22	3	575,000$
16	Ronan Seeley				X	100.00	74	61	84	75	59	62	57	36	40	37	34	50	40	68	65	80	22	55	0	22	3	575,000$
17	Tyrel Bauer				X	100.00	55	70	60	75	71	60	55	31	40	27	34	50	40	68	64	80	22	53	0	22	3	575,000$
Scratches
1	Philippe Daoust	X				100.00	44	41	85	75	46	60	50	39	70	47	30	55	40	70	65	75	18	50	0	23	3	575,000$
2	Mason Millman				X	100.00	61	49	77	75	56	55	50	36	40	42	30	57	40	70	63	75	21	54	0	23	3	575,000$
3	Xavier Bouchard (R)				X	100.00	62	59	75	75	65	55	50	31	40	31	30	50	40	72	64	70	21	53	0	24	1	750,000$

	TEAM AVERAGE					100.00	61	51	79	79	59	64	57	43	48	39	44	58	41	72	68	71	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	Mikko Koskinen	100.00	75	50	60	98	50	50	50	50	50	50	99	96	73	10	12	60	0	36	1	3,500,000$
2	Adam Huska	100.00	75	50	60	97	50	50	50	50	50	50	87	78	64	55	28	58	0	27	1	935,000$
Scratches
1	Filip Lindberg (R)	100.00	77	50	60	82	50	50	50	50	50	50	40	74	62	65	20	57	0	25	1	750,000$
2	Amir Miftakhov	100.00	77	50	60	82	50	50	50	50	50	50	60	72	61	70	20	56	0	24	1	825,000$

	TEAM AVERAGE	100.00	76	50	60	90	50	50	50	50	50	50	72	80	65	50	20	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Hackett	51	64	49	47	86	87	58	CAN	56	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	GW	FO%	FOT	P/20	S1	S2	S3
1	Laurent Dauphin	Darkness (Cal)	C	16	0	4	4	1	4	17	33	20	8	8	0.00%	0	127	7.98	0	59.54%	173	0.63	2	1	3
2	William Trudeau	Darkness (Cal)	D	16	3	1	4	2	12	18	8	5	2	1	60.00%	1	132	8.29	1	0.00%	0	0.60	2	4	0
3	William Dufour	Darkness (Cal)	LW	16	0	2	2	1	0	5	10	11	4	7	0.00%	0	127	7.99	0	41.67%	12	0.31	1	1	3
Team Total or Average				48	3	7	10	4	16	40	51	36	14	16	8.33%	1	388	8.09	1	58.38%	185	0.52	5	6	6

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 Huska	Darkness (Cal)	G	27	1997-05-12	No	218 Lbs	6 ft4	No	No	No	1	Pro & Farm	935,000$	0$	0$	No	UFA			Link / NHL Link
Alex Chiasson	Darkness (Cal)	RW	34	1990-10-01	No	208 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	2,250,000$	0$	0$	No	2,250,000$	UFA		Link / NHL Link
Amir Miftakhov	Darkness (Cal)	G	24	2000-04-26	No	182 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	0$	0$	No	RFA			Link / NHL Link
Avery Hayes	Darkness (Cal)	RW	22	2002-10-10	Yes	175 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Filip Lindberg	Darkness (Cal)	G	25	1999-01-31	Yes	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Gavin Hain	Darkness (Cal)	C	21	2003-04-03	Yes	194 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Ivan Miroshnichenko	Darkness (Cal)	LW	20	2004-02-04	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Jaxsen Wiebe	Darkness (Cal)	RW	22	2002-05-16	Yes	203 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
John Beecher	Darkness (Cal)	C	23	2001-04-05	No	216 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Laurent Dauphin	Darkness (Cal)	C	29	1995-03-27	No	186 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	UFA	Link / NHL Link
Lleyton Moore	Darkness (Cal)	D	22	2002-02-27	Yes	176 Lbs	5 ft8	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Luke Toporowski	Darkness (Cal)	LW	23	2001-04-12	No	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Mason Millman	Darkness (Cal)	D	23	2001-07-18	No	186 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Mikko Koskinen	Darkness (Cal)	G	36	1988-07-18	No	202 Lbs	6 ft6	No	No	Yes	1	Pro & Farm	3,500,000$	0$	0$	No	UFA			Link / NHL Link
Olle Lycksell	Darkness (Cal)	RW	25	1999-08-24	No	163 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Philippe Daoust	Darkness (Cal)	C	23	2001-05-11	No	169 Lbs	6 ft0	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Ronan Seeley	Darkness (Cal)	D	22	2002-08-02	No	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
Ryder Rolston	Darkness (Cal)	LW	23	2001-10-31	Yes	200 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	NHL Link
Sean Day	Darkness (Cal)	D	26	1998-01-09	No	225 Lbs	6 ft3	No	No	No	1	Pro & Farm	935,000$	0$	0$	No	RFA			Link / NHL Link
Troy Stecher	Darkness (Cal)	D	30	1994-04-07	No	184 Lbs	5 ft10	Yes	No	No	3	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	1,750,000$	UFA	Link / NHL Link
Tyrel Bauer	Darkness (Cal)	D	22	2002-03-23	No	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA	Link / NHL Link
William Dufour	Darkness (Cal)	LW	22	2002-01-28	No	212 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
William Trudeau	Darkness (Cal)	D	22	2002-10-11	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Xavier Bouchard	Darkness (Cal)	D	24	2000-02-28	Yes	198 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.58	193 Lbs	6 ft1	2.25	951,875$

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		Laurent Dauphin	William Dufour	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		William Trudeau	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
, Laurent Dauphin, William Dufour	, Laurent Dauphin	William Dufour

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, William Trudeau,		William Trudeau,

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	8	4	4	1	1	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	16	24	0	0	24	21	16	1	46	180	169	175	2	28	9	6	33	5	2	40.00%	3	0	100.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
2	EvilSharks	2	0	2	0	0	0	0	0	6	13	-7	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	6	12	18	1	0	24	21	16	1	63	180	169	175	2	57	14	30	50	6	1	16.67%	14	0	100.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
3	Griffins	2	0	1	0	1	0	0	0	8	8	0	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	8	16	24	0	0	24	21	16	1	65	180	169	175	2	51	23	16	62	11	0	0.00%	6	0	100.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
4	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	12	18	0	0	24	21	16	1	33	180	169	175	2	26	6	30	35	3	1	33.33%	9	2	77.78%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
5	National	4	0	4	0	0	0	0	0	7	17	-10	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	7	14	21	1	0	24	21	16	1	98	180	169	175	2	108	23	42	102	16	1	6.25%	20	3	85.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
6	Oceanic	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	10	16	0	0	24	21	16	1	40	180	169	175	2	37	7	6	15	3	0	0.00%	2	0	100.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
7	Sagueneens	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	24	21	16	1	28	180	169	175	2	29	7	14	29	3	0	0.00%	6	0	100.00%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
8	Spiders	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	20	31	0	0	24	21	16	1	77	180	169	175	2	44	12	16	31	8	1	12.50%	7	2	71.43%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
9	Thunder	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	9	14	0	0	24	21	16	1	43	180	169	175	2	41	10	14	29	3	1	33.33%	7	3	57.14%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
10	Vikings	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	24	21	16	1	33	180	169	175	2	25	8	11	24	4	0	0.00%	3	2	33.33%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
	Total	16	6	9	0	1	0	0	0	62	67	-5	9	4	4	0	1	0	0	0	42	38	4	7	2	5	0	0	0	0	0	20	29	-9	14	0.438	62	118	180	2	0	24	21	16	1	526	180	169	175	2	446	119	185	410	62	7	11.29%	77	12	84.42%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
	_Since Last GM Reset	16	6	9	0	1	0	0	0	62	67	-5	9	4	4	0	1	0	0	0	42	38	4	7	2	5	0	0	0	0	0	20	29	-9	14	0.438	62	118	180	2	0	24	21	16	1	526	180	169	175	2	446	119	185	410	62	7	11.29%	77	12	84.42%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
	_Vs Conference	14	5	8	0	1	0	0	0	52	58	-6	7	3	3	0	1	0	0	0	32	29	3	7	2	5	0	0	0	0	0	20	29	-9	12	0.429	52	99	151	2	0	24	21	16	1	447	180	169	175	2	393	102	168	353	53	5	9.43%	71	10	85.92%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
	_Vs Division	9	3	5	0	1	0	0	0	26	41	-15	5	2	2	0	1	0	0	0	18	25	-7	4	1	3	0	0	0	0	0	8	16	-8	8	0.444	26	49	75	2	0	24	21	16	1	271	180	169	175	2	234	57	99	207	34	3	8.82%	44	7	84.09%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	14	L3	62	118	180	526	446	119	185	410	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	6	9	1	0	0	0	62	67

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	4	1	0	0	0	42	38

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	20	29

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
62	7	11.29%	77	12	84.42%	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
180	169	175	2	24	21	16	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
261	519	50.29%	230	518	44.40%	124	277	44.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
353	251	424	116	184	85

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
2	13	Spiders	4	Darkness	6	BW		BoxScore
4	32	National	5	Darkness	3	BL		BoxScore
6	42	Darkness	1	National	2	AL		BoxScore
8	55	Darkness	4	Griffins	5	AL		BoxScore
10	72	IceHogs	2	Darkness	6	BW		BoxScore
13	90	Darkness	5	Thunder	6	AL		BoxScore
15	104	Oceanic	4	Darkness	6	BW		BoxScore
17	125	Bandits	4	Darkness	8	BW		BoxScore
18	133	Darkness	1	EvilSharks	6	AL		BoxScore
21	155	Darkness	1	National	6	AL		BoxScore
23	168	Darkness	3	Sagueneens	2	AW		BoxScore
24	178	Griffins	3	Darkness	4	BW	X	BoxScore
26	197	Darkness	5	Spiders	2	AW		BoxScore
28	210	EvilSharks	7	Darkness	5	BL		BoxScore
31	227	National	4	Darkness	2	BL		BoxScore
34	251	Vikings	5	Darkness	2	BL		BoxScore
38	271	Darkness	-	SilverKnights	-
40	283	Thunder	-	Darkness	-
42	297	Darkness	-	Magics	-
44	315	Bandits	-	Darkness	-
46	330	Darkness	-	Roadrunners	-
48	343	Senators	-	Darkness	-
52	367	Darkness	-	BaronsOKC	-
53	379	Remparts	-	Darkness	-
56	401	Darkness	-	Griffins	-
57	409	IceHawks	-	Darkness	-
61	436	Darkness	-	IceHogs	-
62	441	Griffins	-	Darkness	-
65	466	Pantheres	-	Darkness	-
67	478	Darkness	-	Magics	-
69	494	Darkness	-	IceHawks	-
70	503	National	-	Darkness	-
73	525	Darkness	-	National	-
74	533	Wolves	-	Darkness	-
77	557	Darkness	-	Thunder	-
78	566	Oceanic	-	Darkness	-
81	585	Darkness	-	IceHawks	-
83	596	IceHawks	-	Darkness	-
86	621	Darkness	-	IceHogs	-
88	629	Sagueneens	-	Darkness	-
89	644	Darkness	-	Draveurs	-
92	659	Mighty Ducks	-	Darkness	-
94	675	Darkness	-	IceBears	-
96	689	Sagueneens	-	Darkness	-
99	710	Darkness	-	Cyclones	-
101	721	HC	-	Darkness	-
103	742	Darkness	-	Thunder	-
105	750	EvilSharks	-	Darkness	-
107	766	Darkness	-	EvilSharks	-
109	783	Eagles	-	Darkness	-
111	801	Darkness	-	Wolves	-
112	807	Darkness	-	BigBadStars	-
114	818	Wolves	-	Darkness	-
117	836	Darkness	-	Wolves	-
118	849	Nordiques	-	Darkness	-
121	868	Darkness	-	BigBadStars	-
123	880	Darkness	-	Oceanic	-
124	886	Magics	-	Darkness	-
127	909	Darkness	-	Senators	-
128	917	Thunder	-	Darkness	-
130	932	Darkness	-	Spiders	-
132	947	Pantheres	-	Darkness	-
134	965	Darkness	-	Senators	-
135	972	Darkness	-	Sagueneens	-
137	985	IceHogs	-	Darkness	-
139	1005	Darkness	-	WolfPack	-
141	1014	Magics	-	Darkness	-
143	1028	Darkness	-	Checkers	-
144	1037	Darkness	-	Iceberg	-
146	1048	Spiders	-	Darkness	-
150	1076	BaronsOKC	-	Darkness	-
153	1100	BigBadStars	-	Darkness	-
155	1108	Darkness	-	Oceanic	-
159	1134	Senators	-	Darkness	-
162	1155	BigBadStars	-	Darkness	-
165	1169	Darkness	-	Pantheres	-
Trade Deadline --- Trades can’t be done after this day is simulated!
170	1189	Spiders	-	Darkness	-
173	1201	Darkness	-	Pantheres	-

Darkness 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	Alexei Tereschenko	1334	263	402	665	79	928	1779	1772	2370	11.10%	807	21731	16.29	54	91	145	254	7	10	17	68	41	17	52.28%	7	0.61	5	29
2	Denis Parshin	551	202	198	400	-67	129	455	1012	1755	11.51%	158	11570	21.00	44	67	111	282	8	1	9	51	26	13	35.58%	3	0.69	13	39
3	Jori Lehtera	162	109	121	230	14	180	323	507	701	15.55%	100	4033	24.90	29	36	65	110	1	3	4	19	11	7	58.62%	3	1.14	5	17
4	Luca Caputi	383	65	115	180	-86	245	463	621	638	10.19%	69	6498	16.97	12	35	47	112	1	1	2	9	8	6	40.97%	2	0.55	1	7
5	Craig MacDonald	326	64	94	158	-1	76	288	599	682	9.38%	78	5677	17.42	11	19	30	105	0	2	2	11	11	8	41.90%	0	0.56	10	26

Darkness 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	Yann Danis	342	158	143	34	0.903	2.53	20245	67	24	852	8767	2214	14	6	0.741	158
2	Christopher Gibson	82	47	29	6	0.900	2.48	4930	6	6	204	2046	0	1	1	0.800	25
3	Jamie Storr	83	44	31	7	0.905	3.00	4966	0	1	248	2617	1173	4	0	0.630	27
4	Magnus Hellberg	81	43	29	9	0.889	2.67	4840	2	8	215	1940	0	2	3	0.783	23
5	Carter Hutton	117	42	60	12	0.896	2.54	6892	4	6	292	2818	0	2	0	0.719	64

Darkness 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	40	31	0	2	1	2	6	276	254	22	41	22	13	0	1	1	1	3	139	116	23	41	18	18	0	1	0	1	3	137	138	-1	85	276	461	737	0	1	0	64	104	104	2644	0	804	943	877	2617	937	1079	1902	270	58	21.48%	257	52	79.77%	7	976	1809	53.95%	1024	1991	51.43%	714	1392	51.29%	1640	831	1853	882	1652	822
2018	82	16	51	0	3	5	3	4	247	356	-109	41	7	27	0	1	3	2	1	122	182	-60	41	9	24	0	2	2	1	3	125	174	-49	43	247	399	646	1	0	0	52	105	84	2532	0	639	998	878	2801	898	873	1703	198	40	20.20%	225	60	73.33%	3	911	1770	51.47%	891	1646	54.13%	748	1406	53.20%	1585	788	1686	802	1695	864
2019	81	27	36	0	7	4	6	1	261	273	-12	41	15	18	0	3	1	4	0	151	148	3	40	12	18	0	4	3	2	1	110	125	-15	72	261	409	670	4	4	0	71	92	85	2493	0	699	867	866	2442	802	1110	1727	201	53	26.37%	234	60	74.36%	5	916	1863	49.17%	916	1837	49.86%	604	1165	51.85%	1577	774	1626	815	1719	849
2020	82	31	32	0	4	5	4	6	232	243	-11	41	16	19	0	3	1	1	1	125	133	-8	41	15	13	0	1	4	3	5	107	110	-3	75	232	362	594	1	2	0	40	99	85	2282	0	543	927	788	2474	789	1419	1595	229	63	27.51%	217	54	75.12%	5	889	1778	50.00%	914	1894	48.26%	576	1128	51.06%	1535	713	1690	833	1758	888
2021	82	36	36	0	0	2	3	5	153	164	-11	41	23	15	0	0	2	0	1	86	80	6	41	13	21	0	0	0	3	4	67	84	-17	74	153	273	426	0	10	0	42	60	48	1645	0	594	516	527	1825	481	964	1924	382	48	12.57%	419	44	89.50%	4	1201	2336	51.41%	1175	2485	47.28%	564	1118	50.45%	1856	1244	2076	633	1034	503
2022	81	30	33	0	2	3	6	7	166	178	-12	40	16	14	0	1	1	3	5	79	83	-4	41	14	19	0	1	2	3	2	87	95	-8	67	166	280	446	1	8	0	64	56	38	1581	0	539	541	476	1807	525	1030	1738	356	39	10.96%	416	54	87.02%	5	1124	2192	51.28%	1169	2443	47.85%	587	1115	52.65%	1823	1231	2092	629	1017	486
2023	82	20	41	0	4	1	7	9	149	196	-47	41	13	22	0	3	0	2	1	78	91	-13	41	7	19	0	1	1	5	8	71	105	-34	49	149	259	408	1	5	0	48	48	42	1491	0	474	494	491	1844	515	1092	1950	429	56	13.05%	450	56	87.56%	1	1279	2234	57.25%	1361	2471	55.08%	699	1166	59.95%	2005	1361	1963	624	1045	531
2024	82	20	48	0	2	2	3	7	147	226	-79	41	11	20	0	2	1	2	5	82	107	-25	41	9	28	0	0	1	1	2	65	119	-54	59	147	258	405	0	3	0	52	51	39	1362	0	460	447	440	2025	599	1138	2154	356	53	14.89%	470	75	84.04%	4	1092	2071	52.73%	1230	2557	48.10%	611	1158	52.76%	1935	1303	2015	617	1034	513
2025	82	34	36	0	4	1	4	3	253	256	-3	41	18	17	0	2	0	2	2	133	133	0	41	16	19	0	2	1	2	1	120	123	-3	88	253	462	715	3	4	0	98	74	73	2402	0	784	810	774	2115	653	841	1996	343	55	16.03%	341	62	81.82%	3	1460	2654	55.01%	1271	2471	51.44%	685	1258	54.45%	2009	1450	1992	574	965	472
2026	82	34	34	0	7	2	0	5	275	282	-7	41	20	18	0	1	0	0	2	138	142	-4	41	14	16	0	6	2	0	3	137	140	-3	89	275	520	795	1	1	0	107	88	73	2821	0	935	937	909	2244	587	966	2080	355	56	15.77%	364	72	80.22%	5	1247	2864	43.54%	1110	2600	42.69%	565	1292	43.73%	1805	1275	2193	617	968	449
2027	82	32	31	0	6	3	3	7	287	301	-14	41	15	15	0	5	1	1	4	137	147	-10	41	17	16	0	1	2	2	3	150	154	-4	92	287	535	822	2	0	0	116	79	83	2932	0	964	945	975	2530	678	853	2187	386	73	18.91%	362	67	81.49%	2	1328	2946	45.08%	1179	2737	43.08%	566	1345	42.08%	1843	1303	2177	603	963	449
2030	82	36	32	0	4	1	3	6	281	256	25	41	17	18	0	1	1	0	4	141	130	11	41	19	14	0	3	0	3	2	140	126	14	93	281	516	797	1	3	0	106	93	75	2987	0	936	1029	981	2261	632	803	2025	397	57	14.36%	352	65	81.53%	4	1312	2929	44.79%	1158	2634	43.96%	556	1263	44.02%	1859	1319	2152	606	965	454
2031	82	40	29	0	1	4	2	6	299	262	37	41	21	13	0	0	2	0	5	153	132	21	41	19	16	0	1	2	2	1	146	130	16	96	299	569	868	1	1	0	94	104	98	2842	0	908	935	951	2115	594	857	1996	350	60	17.14%	341	53	84.46%	2	1300	2799	46.45%	1092	2450	44.57%	601	1312	45.81%	1803	1275	2195	608	971	452
2032	82	43	29	0	0	2	4	4	217	210	7	41	25	8	0	0	2	3	3	119	93	26	41	18	21	0	0	0	1	1	98	117	-19	100	217	372	589	1	5	0	72	78	63	1923	0	625	632	645	2056	629	862	1948	312	43	13.78%	368	49	86.68%	4	1061	2283	46.47%	1173	2588	45.32%	553	1186	46.63%	1824	1251	2125	610	1015	486
2033	82	38	31	0	0	4	6	3	307	273	34	41	23	14	0	0	0	2	2	164	126	38	41	15	17	0	0	4	4	1	143	147	-4	95	307	578	885	1	1	0	112	107	82	3058	0	1013	1016	998	2579	715	844	2240	301	39	12.96%	353	61	82.72%	4	1226	2832	43.29%	1232	2743	44.91%	564	1320	42.73%	1847	1317	2162	585	961	452
2034	82	34	31	0	2	3	5	7	310	299	11	41	19	13	0	1	3	2	3	159	142	17	41	15	18	0	1	0	3	4	151	157	-6	92	310	590	900	0	3	0	112	91	100	2982	0	993	961	992	2647	762	807	2173	339	50	14.75%	349	66	81.09%	6	1231	2857	43.09%	1233	2774	44.45%	596	1387	42.97%	1868	1334	2157	587	962	456
2035	82	46	29	0	4	1	1	1	323	267	56	41	25	13	0	2	1	0	0	171	128	43	41	21	16	0	2	0	1	1	152	139	13	104	323	616	939	0	4	0	126	91	101	3021	0	990	1003	1006	2411	636	761	2173	337	62	18.40%	327	49	85.02%	4	1286	2871	44.79%	1205	2591	46.51%	641	1358	47.20%	1897	1362	2088	579	958	459
2036	80	44	27	0	3	2	2	2	334	277	57	40	26	11	0	1	0	0	2	174	136	38	40	18	16	0	2	2	2	0	160	141	19	102	334	635	969	1	3	0	134	110	85	2954	0	1004	969	963	2652	737	797	2082	350	66	18.86%	352	61	82.67%	6	1230	2751	44.71%	1192	2732	43.63%	611	1311	46.61%	1798	1287	2119	570	916	433
2037	82	39	30	0	1	5	3	4	234	226	8	41	21	13	0	1	1	2	3	123	105	18	41	18	17	0	0	4	1	1	111	121	-10	95	234	420	654	3	8	73	83	74	5	1978	614	680	673	33	1999	602	891	1949	358	61	17.04%	384	65	83.07%	3	1193	2358	50.59%	1191	2369	50.27%	596	1204	49.50%	2013	1406	1948	590	1004	511
2038	16	6	9	0	1	0	0	0	62	67	-5	9	4	4	0	1	0	0	0	42	38	4	7	2	5	0	0	0	0	0	20	29	-9	14	62	118	180	2	0	24	21	16	1	526	180	169	175	2	446	119	185	410	62	7	11.29%	77	12	84.42%	0	261	519	50.29%	230	518	44.40%	124	277	44.77%	353	251	424	116	184	85
Total Regular Season	1570	646	656	0	57	51	67	93	4813	4866	-53	786	357	305	0	29	21	27	47	2516	2392	124	784	289	351	0	28	30	40	46	2297	2474	-177	1584	4813	8632	13445	24	66	97	1614	1620	1364	46456	794	14753	15818	14572	43890	12890	18172	37952	6311	1039	16.46%	6658	1137	82.92%	77	22523	46716	48.21%	21946	46531	47.16%	11761	24161	48.68%	34884	23085	38744	12490	21796	10621
Playoff
2017	23	14	9	0	0	0	0	0	84	67	17	11	7	4	0	0	0	0	0	41	32	9	12	7	5	0	0	0	0	0	43	35	8	28	84	134	218	0	0	0	18	33	31	721	0	206	279	227	795	253	395	530	81	18	22.22%	86	19	77.91%	0	307	561	54.72%	319	628	50.80%	227	416	54.57%	455	224	2342	1109	460	231
2025	4	0	4	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	2	9	-7	0	7	13	20	0	0	0	3	1	3	119	0	29	36	27	120	29	60	118	20	2	10.00%	24	5	79.17%	0	62	154	40.26%	53	141	37.59%	31	67	46.27%	110	77	138	37	60	27
2026	4	0	4	0	0	0	0	0	4	13	-9	2	0	2	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	2	7	-5	0	4	8	12	0	0	0	2	0	2	132	0	50	27	47	82	21	28	89	26	1	3.85%	13	4	69.23%	0	74	158	46.84%	37	107	34.58%	20	45	44.44%	87	63	113	30	46	20
2027	4	0	4	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	2	7	-5	2	0	2	0	0	0	0	0	5	7	-2	0	7	14	21	0	0	0	4	1	2	108	0	29	31	30	153	43	63	107	12	2	16.67%	25	3	88.00%	0	35	130	26.92%	60	163	36.81%	18	64	28.13%	82	54	144	36	56	22
2031	6	2	4	0	0	0	0	0	17	23	-6	3	1	2	0	0	0	0	0	6	11	-5	3	1	2	0	0	0	0	0	11	12	-1	4	17	34	51	0	0	0	9	5	2	221	0	74	79	65	215	67	54	158	29	5	17.24%	25	5	80.00%	0	138	235	58.72%	92	205	44.88%	42	87	48.28%	137	96	156	41	68	32
2032	5	1	4	0	0	0	0	0	16	17	-1	2	1	1	0	0	0	0	0	9	7	2	3	0	3	0	0	0	0	0	7	10	-3	2	16	30	46	0	0	0	8	5	3	155	0	41	52	52	143	31	34	143	19	1	5.26%	16	2	87.50%	0	89	167	53.29%	93	180	51.67%	42	82	51.22%	123	86	145	42	69	32
2033	4	0	4	0	0	0	0	0	8	19	-11	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	4	11	-7	0	8	16	24	0	0	0	3	3	2	153	0	41	46	66	166	43	34	98	14	1	7.14%	17	1	94.12%	0	68	115	59.13%	67	146	45.89%	36	62	58.06%	95	72	104	23	40	19
2034	7	3	4	0	0	0	0	0	28	28	0	3	1	2	0	0	0	0	0	13	11	2	4	2	2	0	0	0	0	0	15	17	-2	6	28	55	83	0	1	0	9	8	11	251	0	78	74	89	199	53	75	187	34	5	14.71%	31	5	83.87%	0	78	232	33.62%	80	239	33.47%	43	126	34.13%	146	103	204	55	85	39
2035	5	1	4	0	0	0	0	0	19	27	-8	2	1	1	0	0	0	0	0	9	10	-1	3	0	3	0	0	0	0	0	10	17	-7	2	19	35	54	0	0	0	6	5	8	204	0	63	71	70	223	64	42	142	17	4	23.53%	18	3	83.33%	1	88	186	47.31%	101	191	52.88%	36	94	38.30%	114	83	130	32	55	26
2036	11	7	4	0	0	0	0	0	51	45	6	5	4	1	0	0	0	0	0	24	15	9	6	3	3	0	0	0	0	0	27	30	-3	14	51	99	150	0	0	0	22	14	13	478	0	149	158	144	401	103	106	279	44	8	18.18%	46	10	78.26%	1	224	418	53.59%	182	382	47.64%	94	205	45.85%	261	191	298	76	125	61
2037	4	0	4	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	2	7	-5	0	7	13	20	0	0	3	1	3	0	73	23	23	26	1	106	31	48	107	25	1	4.00%	18	5	72.22%	0	43	110	39.09%	45	132	34.09%	25	65	38.46%	88	59	111	33	52	25
Total Playoff	77	28	49	0	0	0	0	0	248	285	-37	36	15	21	0	0	0	0	0	120	123	-3	41	13	28	0	0	0	0	0	128	162	-34	56	248	451	699	0	1	3	85	78	77	2615	23	783	879	818	2603	738	939	1958	321	48	14.95%	319	62	80.56%	2	1206	2466	48.91%	1129	2514	44.91%	614	1313	46.76%	1703	1113	3890	1519	1121	537

Darkness 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	PKS	GW	GT	FO%	P/20
1	Alexei Tereschenko	414	84	134	218	87	395	530	607	721	11.65%	253	6844	16.53	18	30	48	107	17	14	6	53.15%	0.64
2	Radek Smolenak	5	0	6	6	0	2	10	14	12	0.00%	0	118	23.77	0	0	0	1	0	0	0	50.00%	1.01
3	Kirill Gotovets	5	1	4	5	1	2	20	15	10	10.00%	3	116	23.25	0	0	0	5	0	0	0	0.00%	0.86
4	Adam Cracknell	5	2	1	3	-3	4	16	15	16	12.50%	0	146	29.32	0	0	0	4	2	0	0	59.15%	0.41
5	Brendan Woods	5	1	2	3	0	0	12	10	14	7.14%	0	93	18.73	1	0	1	5	0	0	0	51.92%	0.64

Darkness Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A
1	Yann Danis	23	14	8	1	0.916	2.87	1401	2	67	795	343	2
2	Christopher Gibson	5	1	2	2	0.881	3.03	337	2	17	143	0	0
3	Magnus Hellberg	4	0	3	1	0.849	3.81	252	0	16	106	0	0