LHSDB - Ligue de hockey simulee des debiles barbus

Los Angeles Kings
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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
1	Fedor Svechkov	0	X				100.00	63	38	89	68	72	81	83	69	72	65	64	67	66	63	64	83	50	65	0
2	Vasily Podkolzin	0		X	X		100.00	80	40	85	68	75	87	88	66	61	64	62	63	67	65	67	84	50	65	0
3	Oliver Wahlstrom	0			X		100.00	71	44	82	64	81	80	77	65	53	62	63	61	65	67	68	82	50	64	0
4	Brendan Brisson	0	X	X	X		100.00	65	39	79	66	74	81	86	63	67	64	61	60	62	64	66	77	50	63	0
5	Ivan Ivan	0	X				100.00	62	37	88	66	72	76	87	62	65	60	61	63	62	64	65	45	50	63	0
6	Jonas Rondbjerg	0		X	X		100.00	69	38	94	61	82	81	85	59	55	60	58	64	57	66	68	63	50	63	0
7	Otto Stenberg	0	X				100.00	59	36	95	65	68	77	66	63	67	60	56	64	57	60	62	83	50	61	0
8	Cole Bardreau	0	X				100.00	63	41	70	56	72	78	85	55	63	57	54	58	56	72	74	27	50	59	0
9	Ryker Evans	0				X	100.00	73	40	82	69	73	88	85	68	30	73	60	64	52	65	66	74	50	67	0
10	Vladislav Kolyachonok	0				X	100.00	69	38	89	67	79	77	74	65	30	66	60	63	52	64	66	69	50	65	0
11	Caleb Jones	0				X	100.00	72	38	86	65	76	79	76	63	30	70	58	62	50	69	70	49	50	65	0
12	Scott Harrington	0				X	100.00	72	39	87	55	81	62	68	54	30	53	52	56	45	72	74	43	50	60	0
13	Calle Odelius	0				X	100.00	66	38	90	59	75	64	71	58	30	56	52	54	45	61	63	67	50	59	0
14	Dmitry Kuzmin	0				X	100.00	57	37	87	56	68	65	72	55	30	54	53	51	45	62	64	65	50	56	0
Scratches

	TEAM AVERAGE					100.00	67	39	86	63	75	77	79	62	49	62	58	61	56	65	67	65	50	63

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
1	Dan Vladar	100.00	85	80	75	91	84	83	85	84	83	85	84	69	81	54	50	81	0
2	Brandon Bussi	100.00	77	85	81	91	76	75	77	76	75	77	76	67	77	37	50	76	0
Scratches

	TEAM AVERAGE	100.00	81	83	78	91	80	79	81	80	79	81	80	68	79	46	50	79

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andrew Brunette	84	83	84	79	78	72	72	CAN	52	9	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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Brandon Bussi	G	27	1998-06-25	No	209 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Brendan Brisson	C/LW/RW	24	2001-10-22	No	198 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Caleb Jones	D	28	1997-06-06	No	194 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Calle Odelius	D	21	2004-05-30	No	201 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Cole Bardreau	C	32	1993-07-22	No	186 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dan Vladar	G	28	1997-08-20	No	209 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Dmitry Kuzmin	D	22	2003-04-23	No	188 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Fedor Svechkov	C	22	2003-04-05	No	187 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ivan Ivan	C	23	2002-08-20	No	190 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jonas Rondbjerg	LW/RW	26	1999-03-31	No	204 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Oliver Wahlstrom	RW	25	2000-06-13	No	205 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Otto Stenberg	C	20	2005-05-29	No	180 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Ryker Evans	D	23	2001-12-13	No	195 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Scott Harrington	D	32	1993-03-10	No	204 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Vasily Podkolzin	LW/RW	24	2001-06-24	No	190 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Vladislav Kolyachonok	D	24	2001-05-26	No	195 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	25.06	196 Lbs	6 ft1	2.63	615,625$

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	7	L5	48	95	143	557	905	283	161	392	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	3	14	0	0	0	1	48	104

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	2	8	0	0	0	0	27	58

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	6	0	0	0	1	21	46

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
41	2	4.88%	68	19	72.06%	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
156	207	187	12	16	19	13	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
172	448	38.39%	212	652	32.52%	110	318	34.59%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
282	193	613	126	188	75

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
9 - 2025-08-23	21	Barracuda	6	Reign	1	L			BoxScore
10 - 2025-08-24	29	Barracuda	7	Reign	0	L			BoxScore
15 - 2025-08-29	40	Condors	5	Reign	6	W			BoxScore
22 - 2025-09-05	82	Reign	0	Firebirds	8	L			BoxScore
24 - 2025-09-07	100	Silver Knights	7	Reign	3	L			BoxScore
29 - 2025-09-12	120	Reign	2	Silver Knights	6	L			BoxScore
30 - 2025-09-13	131	Silver Knights	5	Reign	3	L			BoxScore
34 - 2025-09-17	147	Canucks	8	Reign	4	L			BoxScore
36 - 2025-09-19	155	Firebirds	6	Reign	0	L			BoxScore
38 - 2025-09-21	178	Reign	1	Firebirds	8	L			BoxScore
41 - 2025-09-24	188	Roadrunners	4	Reign	7	W			BoxScore
43 - 2025-09-26	198	Reign	4	Eagles	5	L	X	X	BoxScore
44 - 2025-09-27	215	Reign	5	Eagles	3	W			BoxScore
48 - 2025-10-01	226	Reign	3	Silver Knights	5	L			BoxScore
51 - 2025-10-04	251	Reign	1	Gulls	5	L			BoxScore
57 - 2025-10-10	277	Stars	5	Reign	2	L			BoxScore
58 - 2025-10-11	292	Reign	5	Condors	6	L			BoxScore
61 - 2025-10-14	299	Stars	5	Reign	1	L			BoxScore
65 - 2025-10-18	329	Reign	-	Gulls	-
66 - 2025-10-19	337	Condors	-	Reign	-
73 - 2025-10-26	381	Barracuda	-	Reign	-
76 - 2025-10-29	395	Wranglers	-	Reign	-
78 - 2025-10-31	409	Reign	-	Firebirds	-
79 - 2025-11-01	419	Firebirds	-	Reign	-
85 - 2025-11-07	437	Reign	-	Gulls	-
86 - 2025-11-08	451	Reign	-	Firebirds	-
89 - 2025-11-11	464	Reign	-	Silver Knights	-
92 - 2025-11-14	480	Gulls	-	Reign	-
93 - 2025-11-15	491	Firebirds	-	Reign	-
97 - 2025-11-19	507	Reign	-	Silver Knights	-
99 - 2025-11-21	519	Wild	-	Reign	-
101 - 2025-11-23	540	Wild	-	Reign	-
103 - 2025-11-25	545	Reign	-	Canucks	-
104 - 2025-11-26	556	Reign	-	Canucks	-
107 - 2025-11-29	575	Silver Knights	-	Reign	-
108 - 2025-11-30	586	Wranglers	-	Reign	-
110 - 2025-12-02	591	Wranglers	-	Reign	-
113 - 2025-12-05	610	Reign	-	Condors	-
114 - 2025-12-06	623	Firebirds	-	Reign	-
118 - 2025-12-10	643	Eagles	-	Reign	-
120 - 2025-12-12	657	Reign	-	Roadrunners	-
121 - 2025-12-13	673	Reign	-	Roadrunners	-
128 - 2025-12-20	701	Gulls	-	Reign	-
132 - 2025-12-24	718	Roadrunners	-	Reign	-
135 - 2025-12-27	738	Reign	-	Wranglers	-
137 - 2025-12-29	755	Reign	-	Wranglers	-
139 - 2025-12-31	764	Reign	-	Barracuda	-
142 - 2026-01-03	788	Barracuda	-	Reign	-
143 - 2026-01-04	799	Wranglers	-	Reign	-
148 - 2026-01-09	823	Reign	-	Eagles	-
149 - 2026-01-10	839	Reign	-	Eagles	-
153 - 2026-01-14	857	Roadrunners	-	Reign	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16	867	Gulls	-	Reign	-
156 - 2026-01-17	880	Reign	-	Gulls	-
159 - 2026-01-20	890	Reign	-	Roadrunners	-
160 - 2026-01-21	898	Reign	-	Roadrunners	-
164 - 2026-01-25	931	Silver Knights	-	Reign	-
166 - 2026-01-27	934	Reign	-	Stars	-
167 - 2026-01-28	942	Reign	-	Stars	-
170 - 2026-01-31	966	Reign	-	Wild	-
171 - 2026-02-01	976	Reign	-	Wild	-
174 - 2026-02-04	989	Roadrunners	-	Reign	-
177 - 2026-02-07	1013	Eagles	-	Reign	-
178 - 2026-02-08	1023	Eagles	-	Reign	-
181 - 2026-02-11	1037	Reign	-	Barracuda	-
184 - 2026-02-14	1050	Reign	-	Wranglers	-
186 - 2026-02-16	1071	Reign	-	Wranglers	-
190 - 2026-02-20	1090	Reign	-	Barracuda	-
191 - 2026-02-21	1102	Reign	-	Barracuda	-
195 - 2026-02-25	1121	Eagles	-	Reign	-
197 - 2026-02-27	1136	Gulls	-	Reign	-
198 - 2026-02-28	1148	Canucks	-	Reign	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	18,378	9,312
Attendance PCT	91.89%	93.12%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
26	2769 - 92.30%	68,896$	688,961$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
331,104$	98,500$	98,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	26,104$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,791,299$	139	5,492$	763,388$

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
12	82	12	65	0	3	2	0	0	185	411	-226	41	5	32	0	3	1	0	0	90	192	-102	41	7	33	0	0	1	0	0	95	219	-124	32	185	354	539	2	0	0	66	66	50	2223	0	745	726	743	3447	957	675	1577	369	58	15.72%	288	77	73.26%	2	700	2144	32.65%	828	2728	30.35%	441	1341	32.89%	1399	942	2615	600	914	384
13	68	1	62	0	2	3	0	0	118	375	-257	34	0	32	0	1	1	0	0	57	184	-127	34	1	30	0	1	2	0	0	61	191	-130	9	118	226	344	2	0	0	60	31	25	1443	0	471	525	443	2910	858	542	1058	286	33	11.54%	235	68	71.06%	0	399	1449	27.54%	613	2295	26.71%	287	1071	26.80%	904	591	2470	509	719	265
14	68	2	62	0	1	1	0	2	135	409	-274	34	0	31	0	0	1	0	2	70	203	-133	34	2	31	0	1	0	0	0	65	206	-141	9	135	259	394	0	0	0	52	39	43	1752	0	604	535	599	3458	1061	673	1298	213	25	11.74%	274	73	73.36%	3	576	1745	33.01%	772	2509	30.77%	332	1140	29.12%	990	643	2374	497	729	283
14	68	2	62	0	1	1	0	2	135	409	-274	34	0	31	0	0	1	0	2	70	203	-133	34	2	31	0	1	0	0	0	65	206	-141	9	135	259	394	0	0	0	52	39	43	1752	0	604	535	599	3458	1061	673	1298	213	25	11.74%	274	73	73.36%	3	576	1745	33.01%	772	2509	30.77%	332	1140	29.12%	990	643	2374	497	729	283
14	68	2	62	0	1	1	0	2	135	409	-274	34	0	31	0	0	1	0	2	70	203	-133	34	2	31	0	1	0	0	0	65	206	-141	9	135	259	394	0	0	0	52	39	43	1752	0	604	535	599	3458	1061	673	1298	213	25	11.74%	274	73	73.36%	3	576	1745	33.01%	772	2509	30.77%	332	1140	29.12%	990	643	2374	497	729	283
15	82	3	78	0	0	1	0	0	112	474	-362	41	2	38	0	0	1	0	0	58	222	-164	41	1	40	0	0	0	0	0	54	252	-198	7	112	217	329	1	0	0	36	43	33	1876	0	585	621	670	3912	1140	742	1407	302	20	6.62%	292	81	72.26%	1	570	1868	30.51%	804	2949	27.26%	363	1268	28.63%	1092	713	2978	598	850	315
15	82	3	78	0	0	1	0	0	112	474	-362	41	2	38	0	0	1	0	0	58	222	-164	41	1	40	0	0	0	0	0	54	252	-198	7	112	217	329	1	0	0	36	43	33	1876	0	585	621	670	3912	1140	742	1407	302	20	6.62%	292	81	72.26%	1	570	1868	30.51%	804	2949	27.26%	363	1268	28.63%	1092	713	2978	598	850	315
16	82	7	74	0	0	1	0	0	135	514	-379	41	6	34	0	0	1	0	0	83	236	-153	41	1	40	0	0	0	0	0	52	278	-226	15	135	262	397	0	0	0	48	45	42	1812	0	532	639	641	4041	1110	767	1302	287	32	11.15%	335	102	69.55%	0	574	1796	31.96%	874	2953	29.60%	419	1321	31.72%	1095	714	2989	580	836	318
17	72	5	65	0	1	1	0	0	143	436	-293	36	2	32	0	1	1	0	0	70	202	-132	36	3	33	0	0	0	0	0	73	234	-161	13	143	276	419	3	0	0	62	42	38	1890	0	592	641	656	3553	1023	620	1350	251	26	10.36%	263	78	70.34%	2	592	1715	34.52%	773	2473	31.26%	370	1173	31.54%	1043	693	2524	513	753	290
18	72	19	43	0	4	5	1	0	224	301	-77	36	13	21	0	1	1	0	0	116	147	-31	36	6	22	0	3	4	1	0	108	154	-46	53	224	399	623	0	1	0	80	67	72	2051	0	653	664	716	2558	679	633	1438	324	80	24.69%	252	68	73.02%	1	885	1963	45.08%	884	2209	40.02%	490	1181	41.49%	1671	1230	1868	474	795	381
19	70	13	49	0	1	5	1	1	189	340	-151	34	11	18	0	1	3	1	0	106	150	-44	36	2	31	0	0	2	0	1	83	190	-107	36	189	364	553	0	0	0	72	61	54	2220	0	739	783	682	2976	827	571	1460	274	49	17.88%	241	66	72.61%	1	873	2029	43.03%	889	2232	39.83%	447	1141	39.18%	1492	1074	1967	465	758	354
20	18	3	14	0	0	0	0	1	48	104	-56	10	2	8	0	0	0	0	0	27	58	-31	8	1	6	0	0	0	0	1	21	46	-25	7	48	95	143	0	0	16	19	13	1	557	156	207	187	12	905	283	161	392	41	2	4.88%	68	19	72.06%	0	172	448	38.39%	212	652	32.52%	110	318	34.59%	282	193	613	126	188	75
Total Regular Season	832	72	714	0	14	22	2	8	1671	4656	-2985	416	43	346	0	7	13	1	6	875	2222	-1347	416	29	368	0	7	9	1	2	796	2434	-1638	206	1671	3187	4858	9	1	16	635	528	477	21204	156	6921	7012	7030	38588	11200	7472	15285	3075	395	12.85%	3088	859	72.18%	17	7063	20515	34.43%	8997	28967	31.06%	4286	13502	31.74%	13046	8798	28128	5961	8856	3551