LHSDB - Ligue de hockey simulee des debiles barbus

Chicago Blackhawks
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Blake Pietila		X		100.00	64	43	88	62	72	84	77	61	58	60	60	63	59	73	67	61	50	62	0
2	Jonny Brodzinski	X			100.00	64	43	88	62	80	73	72	61	64	58	60	63	59	73	67	52	50	61	0
3	Thomas Di Pauli	X			100.00	58	43	77	60	70	68	69	61	64	58	59	57	61	71	66	59	50	59	0
4	Dakota Joshua (R)	X			100.00	61	47	82	56	77	74	71	55	69	53	54	56	51	67	64	56	50	57	0
5	Ryan Collins			X	100.00	77	49	87	55	93	76	78	56	30	53	54	60	45	67	64	70	50	62	0
6	Connor Hobbs			X	100.00	62	52	80	58	77	84	83	56	30	54	53	57	45	65	63	54	50	61	0
7	Brayden Pachal			X	100.00	61	49	81	56	74	83	82	55	30	54	52	53	45	61	62	64	50	59	0
Scratches

	TEAM AVERAGE				100.00	64	47	83	58	78	77	76	58	49	56	56	58	52	68	65	59	50	60

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	Zachary Sawchenko	100.00	72	62	60	74	71	70	72	71	70	72	71	65	69	62	50	68	0
Scratches

	TEAM AVERAGE	100.00	72	62	60	74	71	70	72	71	70	72	71	65	69	62	50	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dallas Eakins	77	77	71	69	80	74	69	USA	53	4	1,600,000$

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	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Thomas Di Pauli	IceHogs (Chi)	C	66	34	19	53	-52	72	10	226	169	346	92	221	9.83%	82	1264	19.16	10	2	12	79	192	1	16	2	0	47.20%	125	0.84	0	0	0	0	2	2	1	2
2	Anders Bjork	Chicago Blackhawks	LW/RW	27	9	17	26	14	14	0	34	49	75	23	61	12.00%	2	569	21.08	0	7	7	16	120	0	78	2	1	58.62%	87	0.91	1	1	0	0	0	0	6	3
3	Ryan Collins	IceHogs (Chi)	D	66	9	15	24	-31	179	25	204	88	70	25	61	12.86%	113	938	14.22	2	1	3	18	30	0	11	0	0	0.00%	0	0.51	0	0	1	1	3	0	3	2
Team Total or Average				159	52	51	103	-69	265	35	464	306	491	140	343	10.59%	197	2771	17.43	12	10	22	113	343	1	107	4	1	51.89%	212	0.74	1	1	1	1	5	2	10	7

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	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
Blake Pietila	LW	27	1993-02-20	No	200 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brayden Pachal	D	21	1999-08-23	No	200 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Connor Hobbs	D	24	1997-01-04	No	197 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dakota Joshua	C	24	1996-05-15	Yes	182 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	NHL Link
Jonny Brodzinski	C	27	1993-06-19	No	215 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Collins	D	24	1996-05-06	No	216 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Thomas Di Pauli	C	26	1994-04-29	No	188 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Zachary Sawchenko	G	23	1997-12-30	No	185 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
8	24.50	198 Lbs	6 ft1	2.88	356,250$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Thomas Di Pauli	40	1	2	2
2				30	1	2	2
3				20	1	2	2
4		Thomas Di Pauli		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2		Ryan Collins	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			Thomas Di Pauli	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		Ryan Collins	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Thomas Di Pauli	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Ryan Collins	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		Ryan Collins	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Thomas Di Pauli	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Ryan Collins	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Thomas Di Pauli

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Thomas Di Pauli

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , Thomas Di Pauli,

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
66	12	L3	123	229	352	1633	2864	858	637	1252	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
66	5	59	0	2	0	0	123	367

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	2	31	0	0	0	0	53	182

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	3	28	0	2	0	0	70	185

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	9	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
292	33	11.30%	275	94	65.82%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
487	568	577	1	41	40	42	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
517	1753	29.49%	592	2147	27.57%	299	1059	28.23%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1107	747	2147	466	710	295

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
1 - 2020-10-18	8	Marlies	4	IceHogs	5	W		BoxScore
4 - 2020-10-21	31	IceHogs	3	Comets	7	L		BoxScore
5 - 2020-10-22	42	Penguins	6	IceHogs	2	L		BoxScore
7 - 2020-10-24	66	Rocket	6	IceHogs	1	L		BoxScore
8 - 2020-10-25	78	IceHogs	2	Thunderbirds	9	L		BoxScore
10 - 2020-10-27	96	Heat	4	IceHogs	3	L		BoxScore
12 - 2020-10-29	107	IceHogs	1	Wolves	8	L		BoxScore
14 - 2020-10-31	126	Wolves	7	IceHogs	0	L		BoxScore
15 - 2020-11-01	136	IceHogs	6	Eagles	5	W		BoxScore
18 - 2020-11-04	155	Wild	5	IceHogs	4	L		BoxScore
20 - 2020-11-06	170	IceHogs	2	Admirals	4	L		BoxScore
22 - 2020-11-08	183	IceHogs	0	Checkers	8	L		BoxScore
24 - 2020-11-10	196	IceHogs	1	Stars	6	L		BoxScore
26 - 2020-11-12	209	Griffins	6	IceHogs	0	L		BoxScore
29 - 2020-11-15	228	Rampage	4	IceHogs	1	L		BoxScore
32 - 2020-11-18	247	IceHogs	0	Americans	6	L		BoxScore
33 - 2020-11-19	260	Comets	5	IceHogs	2	L		BoxScore
35 - 2020-11-21	278	IceHogs	4	Moose	3	W		BoxScore
36 - 2020-11-22	292	Crunch	6	IceHogs	2	L		BoxScore
39 - 2020-11-25	311	IceHogs	4	Reign	3	W		BoxScore
40 - 2020-11-26	322	Marlies	5	IceHogs	0	L		BoxScore
43 - 2020-11-29	334	IceHogs	1	Americans	8	L		BoxScore
45 - 2020-12-01	352	Monsters	5	IceHogs	2	L		BoxScore
46 - 2020-12-02	362	IceHogs	3	Phantoms	7	L		BoxScore
48 - 2020-12-04	382	IceHogs	1	Bruins	7	L		BoxScore
51 - 2020-12-07	392	Penguins	4	IceHogs	1	L		BoxScore
53 - 2020-12-09	411	IceHogs	0	Senators	3	L		BoxScore
55 - 2020-12-11	421	Wild	6	IceHogs	3	L		BoxScore
57 - 2020-12-13	440	IceHogs	2	Admirals	6	L		BoxScore
58 - 2020-12-14	449	IceHogs	2	Checkers	5	L		BoxScore
59 - 2020-12-15	458	Condors	7	IceHogs	1	L		BoxScore
62 - 2020-12-18	482	IceHogs	4	Comets	5	L		BoxScore
63 - 2020-12-19	489	Wolves	5	IceHogs	1	L		BoxScore
65 - 2020-12-21	512	Checkers	5	IceHogs	1	L		BoxScore
67 - 2020-12-23	534	IceHogs	2	Condors	5	L		BoxScore
69 - 2020-12-25	544	Moose	4	IceHogs	3	L		BoxScore
72 - 2020-12-28	560	IceHogs	0	Wolves	6	L		BoxScore
74 - 2020-12-30	569	IceHogs	4	Thunderbirds	5	L	X	BoxScore
76 - 2021-01-01	581	Sound Tigers	8	IceHogs	1	L		BoxScore
79 - 2021-01-04	605	Stars	5	IceHogs	1	L		BoxScore
81 - 2021-01-06	619	IceHogs	2	Marlies	4	L		BoxScore
84 - 2021-01-09	635	Wolf Pack	5	IceHogs	2	L		BoxScore
86 - 2021-01-11	658	Barracuda	4	IceHogs	1	L		BoxScore
90 - 2021-01-15	675	IceHogs	2	Barracuda	7	L		BoxScore
93 - 2021-01-18	691	IceHogs	1	Sound Tigers	6	L		BoxScore
94 - 2021-01-19	703	Roadrunners	8	IceHogs	2	L		BoxScore
97 - 2021-01-22	724	Thunderbirds	8	IceHogs	1	L		BoxScore
98 - 2021-01-23	733	IceHogs	2	Bears	3	L		BoxScore
100 - 2021-01-25	752	Bears	6	IceHogs	1	L		BoxScore
102 - 2021-01-27	764	IceHogs	3	Wild	9	L		BoxScore
104 - 2021-01-29	776	IceHogs	3	Eagles	4	L		BoxScore
106 - 2021-01-31	788	IceHogs	2	Gulls	3	L		BoxScore
107 - 2021-02-01	800	Senators	5	IceHogs	1	L		BoxScore
110 - 2021-02-04	823	Roadrunners	5	IceHogs	0	L		BoxScore
112 - 2021-02-06	839	IceHogs	5	Heat	6	L	X	BoxScore
116 - 2021-02-10	853	IceHogs	2	Stars	9	L		BoxScore
117 - 2021-02-11	862	Phantoms	6	IceHogs	1	L		BoxScore
119 - 2021-02-13	885	Rocket	6	IceHogs	2	L		BoxScore
121 - 2021-02-15	898	IceHogs	1	Wolf Pack	3	L		BoxScore
124 - 2021-02-18	908	IceHogs	3	Roadrunners	7	L		BoxScore
126 - 2021-02-20	921	Griffins	4	IceHogs	2	L		BoxScore
128 - 2021-02-22	943	IceHogs	0	Penguins	5	L		BoxScore
129 - 2021-02-23	952	Eagles	3	IceHogs	5	W		BoxScore
132 - 2021-02-26	976	Devils	7	IceHogs	1	L		BoxScore
134 - 2021-02-28	998	IceHogs	2	Gulls	3	L		BoxScore
136 - 2021-03-02	1011	Heat	8	IceHogs	0	L		BoxScore
138 - 2021-03-04	1026	IceHogs	-	Condors	-
140 - 2021-03-06	1042	Americans	-	IceHogs	-
143 - 2021-03-09	1067	IceHogs	-	Griffins	-
144 - 2021-03-10	1073	Eagles	-	IceHogs	-
148 - 2021-03-14	1097	Admirals	-	IceHogs	-
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2021-03-18	1122	Gulls	-	IceHogs	-
155 - 2021-03-21	1149	IceHogs	-	Rampage	-
156 - 2021-03-22	1156	Reign	-	IceHogs	-
158 - 2021-03-24	1175	IceHogs	-	Rocket	-
160 - 2021-03-26	1187	Admirals	-	IceHogs	-
161 - 2021-03-27	1197	IceHogs	-	Devils	-
162 - 2021-03-28	1203	IceHogs	-	Crunch	-
166 - 2021-04-01	1220	Bruins	-	IceHogs	-
168 - 2021-04-03	1225	IceHogs	-	Monsters	-
169 - 2021-04-04	1239	IceHogs	-	Crunch	-
175 - 2021-04-10	1270	Rampage	-	IceHogs	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	62,958	31,154
Attendance PCT	95.39%	94.41%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
8	2852 - 95.06%	71,222$	2,350,337$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,258,820$	28,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	20,340$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
569,779$	40	9,201$	368,040$

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	42	32	0	5	0	2	1	268	215	53	41	20	18	0	2	0	1	0	135	107	28	41	22	14	0	3	0	1	1	133	108	25	99	268	469	737	0	5	0	111	75	75	2281	0	742	716	808	2178	608	1327	1906	485	90	18.56%	557	85	84.74%	1	1302	2391	54.45%	1241	2548	48.70%	666	1209	55.09%	2083	1478	1908	576	962	493
13	76	26	42	0	1	5	0	2	175	232	-57	38	15	20	0	0	2	0	1	89	107	-18	38	11	22	0	1	3	0	1	86	125	-39	61	175	297	472	1	3	0	64	51	59	1777	0	559	583	626	2099	545	921	1453	444	72	16.22%	382	77	79.84%	2	841	2123	39.61%	869	2400	36.21%	414	1103	37.53%	1698	1174	1980	559	898	430
14	76	6	65	0	1	1	1	2	119	398	-279	38	5	32	0	0	1	0	0	60	193	-133	38	1	33	0	1	0	1	2	59	205	-146	19	119	203	322	1	1	0	45	41	31	1673	0	554	527	580	3162	925	692	1301	261	28	10.73%	311	86	72.35%	0	462	1789	25.82%	651	2490	26.14%	295	1161	25.41%	1179	785	2587	555	816	324
15	66	5	59	0	0	2	0	0	123	367	-244	33	2	31	0	0	0	0	0	53	182	-129	33	3	28	0	0	2	0	0	70	185	-115	12	123	229	352	0	0	41	40	42	0	1633	487	568	577	1	2864	858	637	1252	292	33	11.30%	275	94	65.82%	1	517	1753	29.49%	592	2147	27.57%	299	1059	28.23%	1107	747	2147	466	710	295
Total Regular Season	300	79	198	0	7	8	3	5	685	1212	-527	150	42	101	0	2	3	1	1	337	589	-252	150	37	97	0	5	5	2	4	348	623	-275	191	685	1198	1883	2	9	41	260	209	165	7364	487	2423	2403	2015	10303	2936	3577	5912	1482	223	15.05%	1525	342	77.57%	4	3122	8056	38.75%	3353	9585	34.98%	1674	4532	36.94%	6068	4185	8623	2158	3388	1543
Playoff
11	4	0	4	0	0	0	0	0	8	18	-10	2	0	2	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	4	9	-5	0	8	13	21	0	0	0	5	2	1	96	0	32	29	35	118	25	66	82	40	6	15.00%	28	7	75.00%	0	65	140	46.43%	54	147	36.73%	27	64	42.19%	90	61	103	31	45	21
12	4	0	4	0	0	0	0	0	6	24	-18	2	0	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	0	14	-14	0	6	11	17	0	0	0	2	2	2	88	0	30	32	26	143	31	40	78	17	2	11.76%	20	6	70.00%	0	52	123	42.28%	34	119	28.57%	27	67	40.30%	82	56	114	27	44	21
Total Playoff	8	0	8	0	0	0	0	0	14	42	-28	4	0	4	0	0	0	0	0	10	19	-9	4	0	4	0	0	0	0	0	4	23	-19	0	14	24	38	0	0	0	7	4	3	184	0	62	61	61	261	56	106	160	57	8	14.04%	48	13	72.92%	0	117	263	44.49%	88	266	33.08%	54	131	41.22%	173	117	218	58	89	42