Ligue de hockey simulé de Maniwaki - Distraction

Home
Main
Pro League
Farm League
League
- Entry Draft Projection
- Coaches
- Transactions
- Waivers
- Expansion Draft
  - Players
  - Goalies
- Team/GM
- Trade History
- Prospects
- RSS Feed
- Unassigned
  - Players
  - Goalies
- Available For Trade
  - Players
  - Goalies
- Compares Players
  - Players
  - Goalies
- Free Agents
  - Players
  - Goalies
- Retire Players
  - Players
  - Goalies
History
Team's Link
- Pro Team
  - Conférence Gretzky
    - Blue Jackets
    - Dogbones
    - Fighting Irish
    - Flash
    - Icedogs
    - Oilers
    - Penguins
    - Pirates
    - Sens
    - Thunder
  - Conférence Lemieux
    - Bikers
    - Bulldogs
    - Gongshow
    - Jokers
    - LumberJacks
    - Mariners
    - Nordiques
    - Roadrunners
    - Stallions
    - Wolf
- Farm Team
  - Conference 1
    - Chiefs
    - Destroyers
    - Dynamos
    - Falcons
    - Monkeys
    - Monsters
    - Patriotes
    - Senators
    - Vikings
    - Warriors
  - Conference 2
    - Bolt
    - Distraction
    - Intrepides
    - L'Euphorie
    - Monster
    - Prospects
    - Sharks
    - Sheriefs
    - Wildcats
    - Youngblood
Search
Legacy Pages
Season Stat
- Pro League
- Farm League
Help
- Latest STHS Client
- STHS Client Manual

Distraction

GP: 19 | W: 14 | L: 5
GF: 124 | GA: 70 | PP%: 59.70% | PK%: 51.32%
GM : Steve Marinier | Morale : 86 | Team Overall : 70

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Mariners
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

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	TA	SP
1	Victor Rask	X				100.00	75	62	96	80	80	78	51	68	67	68	67	71	50	74	76	0	82	68		0
2	Adam Gaudette (R)	X				100.00	76	55	93	85	74	76	58	69	58	68	69	71	52	68	71	0	87	68		0
Scratches
1	Brendan Leipsic (R)		X			89.77	76	64	91	85	75	79	66	74	50	76	71	71	53	69	70	0	80	70		0
2	Sam Steel (R)	X				100.00	68	58	92	88	77	80	35	75	65	74	75	74	59	65	68	0	77	70		0
3	Brett Ritchie (R)			X		97.15	92	73	77	84	90	75	54	66	50	63	68	70	51	72	74	0	77	68		0
4	Marc Methot				X	100.00	88	78	86	79	92	82	35	61	50	60	62	76	50	81	77	0	61	70		0

	TEAM AVERAGE					97.67	79	65	89	84	81	78	50	69	57	68	69	72	53	72	73	0	77	69

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	TA	SP
1	Carter Hart (R)	100.00	74	72	80	83	76	76	75	73	77	76	74	67	72	0	87	74		0
2	Alex Stalock	100.00	71	67	75	85	72	71	73	70	71	72	69	70	74	0	87	71		0
Scratches

	TEAM AVERAGE	100.00	73	70	78	84	74	74	74	72	74	74	72	69	73	0	87	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Hynes	84	77	78	88	75	69	99	USA	44	2	550,000$

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
1	Adam Gaudette	Distraction (MRS)	C	19	19	25	44	18	2	0	21	36	113	34	73	16.81%	19	410	21.61	7	13	20	18	38	1	0	1	1	26	1	0	60.81%	273	28	17	0	2	2.14	0	0	0	0	0	3	0	6
2	Marc Methot	Distraction (MRS)	D	12	9	31	40	25	33	25	15	13	66	37	30	13.64%	23	321	26.83	6	8	14	9	24	0	0	0	2	30	0	0	0.00%	0	9	16	0	1	2.49	0	0	2	1	2	2	3	1
3	Brendan Leipsic	Distraction (MRS)	LW	14	18	21	39	23	15	15	20	18	94	38	52	19.15%	10	320	22.88	7	4	11	11	19	0	0	0	0	45	6	1	50.00%	24	27	15	0	1	2.44	0	0	0	3	0	2	4	2
4	Brett Ritchie	Distraction (MRS)	RW	19	12	19	31	17	15	5	33	27	117	47	73	10.26%	13	389	20.51	3	11	14	15	36	0	0	0	1	6	3	0	65.31%	49	24	6	1	0	1.59	0	0	1	0	0	1	4	1
5	Victor Rask	Distraction (MRS)	C	19	8	16	24	17	0	0	13	31	98	25	58	8.16%	9	306	16.13	1	2	3	4	10	0	0	0	4	13	0	1	68.49%	238	20	11	0	0	1.57	0	0	0	0	0	1	1	3
6	Sam Steel	Distraction (MRS)	C	8	10	13	23	9	19	5	8	22	39	14	14	25.64%	7	160	20.02	3	5	8	4	11	0	1	1	0	17	0	0	64.61%	308	8	8	0	2	2.87	0	0	0	0	1	2	0	1
Team Total or Average				91	76	125	201	109	84	50	110	147	527	195	300	14.42%	81	1908	20.98	27	43	70	61	140	1	1	2	8	138	10	2	64.13%	892	116	73	1	6	2.11	0	0	3	4	3	11	12	14

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
1	Carter Hart	Distraction (MRS)	18	14	3	1	0.916	3.65	1086	0	0	66	787	387	3	0	0.000	0	18	1	1	2	0
2	Alex Stalock	Distraction (MRS)	1	0	1	0	0.917	4.00	60	0	0	4	48	20	0	0	0.000	0	1	18	0	0	0
Team Total or Average			19	14	4	1	0.916	3.67	1146	0	0	70	835	407	3	0	0.000	0	19	19	1	2	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Link
Adam Gaudette	Distraction (MRS)	C	23	1996-10-03 03:41:26	Yes	170 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,667$		0$	0$	No	1,491,667$
Alex Stalock	Distraction (MRS)	G	32	1987-07-28 09:26:20	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$		0$	0$	No
Brendan Leipsic (Out of Payroll)	Distraction (MRS)	LW	26	1994-05-19 10:23:05	Yes	179 Lbs	5 ft10	No	No	No	1	Pro & Farm	650,000$		0$	0$	No										Link
Brett Ritchie	Distraction (MRS)	RW	26	1993-07-01 21:26:19	Yes	220 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,750,000$		0$	0$	No										Link
Carter Hart	Distraction (MRS)	G	21	1998-08-13 09:26:20	Yes	181 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$		0$	0$	No	925,000$	925,000$
Marc Methot	Distraction (MRS)	D	34	1985-06-21 21:26:19	No	227 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$		0$	0$	No										Link
Sam Steel	Distraction (MRS)	C	22	1998-02-03 03:52:21	Yes	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$		0$	0$	No	925,000$	925,000$
Victor Rask	Distraction (MRS)	C	27	1993-03-01 21:26:19	No	200 Lbs	6 ft2	No	No	No	4	Pro & Farm	2,500,000$		0$	0$	No	2,500,000$	2,500,000$	2,500,000$							Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
8	26.38	196 Lbs	6 ft1	2.00	1,280,208$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Adam Gaudette		40	1	2	2
2		Victor Rask		30	1	2	2
3				20	1	2	2
4	Adam Gaudette		Victor Rask	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		Adam Gaudette		60	1	2	2
2		Victor Rask		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		Adam Gaudette	60	1	2	2
2	Victor Rask		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	Adam Gaudette	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Adam Gaudette	60	1	2	2
2	Victor Rask		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
	Adam Gaudette

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Adam Gaudette

Extra Forwards
Normal	PowerPlay	Penalty Kill
Victor Rask, , Adam Gaudette	Victor Rask,	Adam Gaudette

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, Adam Gaudette, Victor Rask, ,

Goalie
#1 : Alex Stalock, #2 : Carter Hart

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	Bolt	4	4	0	0	0	0	0	0	36	11	25	2	2	0	0	0	0	0	0	21	5	16	2	2	0	0	0	0	0	0	15	6	9	8	1.000	36	60	96	0	0	23	49	51	1	169	234	278	257	4	139	34	40	65	13	11	84.62%	15	3	80.00%	0	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
2	Falcons	6	2	4	0	0	0	0	0	22	26	-4	3	1	2	0	0	0	0	0	13	14	-1	3	1	2	0	0	0	0	0	9	12	-3	4	0.333	22	40	62	0	0	23	49	51	1	246	234	278	257	4	281	103	56	87	26	11	42.31%	28	16	42.86%	0	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
3	Sharks	4	4	0	0	0	0	0	0	28	16	12	2	2	0	0	0	0	0	0	15	6	9	2	2	0	0	0	0	0	0	13	10	3	8	1.000	28	52	80	0	0	23	49	51	1	161	234	278	257	4	203	65	40	42	12	7	58.33%	15	8	46.67%	0	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
	Total	19	14	5	0	0	0	0	0	124	70	54	10	8	2	0	0	0	0	0	69	32	37	9	6	3	0	0	0	0	0	55	38	17	28	0.737	124	212	336	0	0	23	49	51	1	773	234	278	257	4	835	277	212	260	67	40	59.70%	76	37	51.32%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
5	Youngblood	5	4	1	0	0	0	0	0	38	17	21	3	3	0	0	0	0	0	0	20	7	13	2	1	1	0	0	0	0	0	18	10	8	8	0.800	38	60	98	0	0	23	49	51	1	197	234	278	257	4	212	75	76	66	16	11	68.75%	18	10	44.44%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
	_Since Last GM Reset	19	14	5	0	0	0	0	0	124	70	54	10	8	2	0	0	0	0	0	69	32	37	9	6	3	0	0	0	0	0	55	38	17	28	0.737	124	212	336	0	0	23	49	51	1	773	234	278	257	4	835	277	212	260	67	40	59.70%	76	37	51.32%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
	_Vs Conference	13	12	1	0	0	0	0	0	102	44	58	7	7	0	0	0	0	0	0	56	18	38	6	5	1	0	0	0	0	0	46	26	20	24	0.923	102	172	274	0	0	23	49	51	1	527	234	278	257	4	554	174	156	173	41	29	70.73%	48	21	56.25%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
	_Vs Division	9	4	1	0	0	0	0	0	66	33	33	5	3	0	0	0	0	0	0	35	13	22	4	1	1	0	0	0	0	0	31	20	11	8	0.444	66	112	178	0	0	23	49	51	1	358	234	278	257	4	415	140	116	108	28	18	64.29%	33	18	45.45%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
19	28	L2	124	212	336	773	835	277	212	260	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	14	5	0	0	0	0	124	70

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	8	2	0	0	0	0	69	32

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	55	38

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
67	40	59.70%	76	37	51.32%	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
234	278	257	4	23	49	51	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
207	376	55.05%	340	615	55.28%	228	402	56.72%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
388	248	468	168	289	131

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	RI	Link
2 - 2020-03-03	5	Youngblood	2	Distraction	4	W				BoxScore
4 - 2020-03-05	13	Youngblood	3	Distraction	11	W				BoxScore
6 - 2020-03-07	21	Distraction	13	Youngblood	4	W				BoxScore
8 - 2020-03-09	29	Distraction	5	Youngblood	6	L				BoxScore
10 - 2020-03-11	37	Youngblood	2	Distraction	5	W				BoxScore
16 - 2020-03-17	59	Bolt	2	Distraction	11	W				BoxScore
18 - 2020-03-19	63	Bolt	3	Distraction	10	W				BoxScore
20 - 2020-03-21	67	Distraction	5	Bolt	1	W				BoxScore
22 - 2020-03-23	71	Distraction	10	Bolt	5	W				BoxScore
30 - 2020-03-31	86	Sharks	3	Distraction	7	W				BoxScore
32 - 2020-04-02	88	Sharks	3	Distraction	8	W				BoxScore
34 - 2020-04-04	90	Distraction	6	Sharks	4	W				BoxScore
36 - 2020-04-06	92	Distraction	7	Sharks	6	W				BoxScore
43 - 2020-04-13	99	Falcons	3	Distraction	6	W				BoxScore
44 - 2020-04-14	100	Falcons	6	Distraction	4	L				BoxScore
45 - 2020-04-15	101	Distraction	4	Falcons	3	W	X			BoxScore
46 - 2020-04-16	102	Distraction	4	Falcons	5	L	X			BoxScore
47 - 2020-04-17	103	Falcons	5	Distraction	3	L				BoxScore
48 - 2020-04-18	104	Distraction	1	Falcons	4	L				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
31	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	959,167$	959,167$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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
2019	82	68	11	0	1	1	1	0	602	225	377	41	37	4	0	0	0	0	0	300	110	190	41	31	7	0	1	1	1	0	302	115	187	136	602	997	1599	0	1	133	237	230	2	3205	1034	1130	1039	5	2285	724	619	1197	350	199	56.86%	236	73	69.07%	12	1011	1455	69.48%	1033	1555	66.43%	1215	1782	68.18%	2002	1242	1561	663	1361	742
Total Regular Season	82	68	11	0	1	1	1	0	602	225	377	41	37	4	0	0	0	0	0	300	110	190	41	31	7	0	1	1	1	0	302	115	187	136	602	997	1599	0	1	133	237	230	2	3205	1034	1130	1039	5	2285	724	619	1197	350	199	56.86%	236	73	69.07%	12	1011	1455	69.48%	1033	1555	66.43%	1215	1782	68.18%	2002	1242	1561	663	1361	742
2019	19	14	5	0	0	0	0	0	124	70	54	10	8	2	0	0	0	0	0	69	32	37	9	6	3	0	0	0	0	0	55	38	17	28	124	212	336	0	0	23	49	51	1	773	234	278	257	4	835	277	212	260	67	40	59.70%	76	37	51.32%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131
Total Playoff	19	14	5	0	0	0	0	0	124	70	54	10	8	2	0	0	0	0	0	69	32	37	9	6	3	0	0	0	0	0	55	38	17	28	124	212	336	0	0	23	49	51	1	773	234	278	257	4	835	277	212	260	67	40	59.70%	76	37	51.32%	1	207	376	55.05%	340	615	55.28%	228	402	56.72%	388	248	468	168	289	131

Back to the Top