KillerSports

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Goalie

Player

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Results

Averages

Avg Line: -148.7 / 130.9Avg Puck Line: 153.8 / -183.5Avg Total: 5.6

	Record (W-L, Avg Cover Margin, Win %)	ROI	Profit	P-Value
SU:	6-11 (-0.8, 35.3%)	-40.4% / 48.8%	$-1,021 / $829	0.16615295
PL:	3-14-0 (-2.3, 17.6%)	26.2% / -23.0%	$105 / $-169	0.00636292
OU:	7-8-2 (0.2, 46.7%)	-9.7% / 1.6%	$-180 / $30	0.50000000

	SoG	Pens	P-Mins	P1	P2	P3	Final
Team	22.4	3.1	10.4	1.1	0.6	0.8	2.5
Opp	29.1	3.1	10.2	1.5	1.1	0.5	3.3

game number = 1 and F and tpS(playoffs)>19 and line<-116 and line>-190

Date	Day	Season	Team	Opp	Site	Final	Rest	Line	Total	SUr	OUr	Ot
Oct 09, 2024	Wed	2024	Oilers	Jets	home	0-6	-	-185	6	L	P	0
Oct 08, 2024	Tue	2024	Panthers	Bruins	home	6-4	-	-160	5.5	W	O	0
Oct 10, 2023	Tue	2023	Golden Knights	Kraken	home	4-1	-	-161	6	W	U	0
Oct 02, 2019	Wed	2019	Blues	Capitals	home	2-3	-	-160	5.5	L	U	1
Oct 04, 2018	Thu	2018	Golden Knights	Flyers	home	2-5	-	-185	6	L	O	0
Oct 04, 2017	Wed	2017	Penguins	Blues	home	4-5	-	-185	5.5	L	O	1
Oct 12, 2016	Wed	2016	Sharks	Kings	home	2-1	-	-163	5	W	U	0
Oct 07, 2015	Wed	2015	Blackhawks	Rangers	home	2-3	-	-127	5	L	P	0
Oct 08, 2014	Wed	2014	Kings	Sharks	home	0-4	-	-140	5.5	L	U	0
Oct 03, 2013	Thu	2013	Bruins	Lightning	home	3-0	-	-140	5.5	W	U	0
Jan 19, 2013	Sat	2012	Kings	Blackhawks	home	2-5	-	-125	5	L	O	0
Oct 06, 2011	Thu	2011	Bruins	Flyers	home	1-2	-	-121	5.5	L	U	1
Oct 06, 2011	Thu	2011	Canucks	Penguins	home	3-4	-	-143	5.5	L	O	1
Oct 07, 2010	Thu	2010	Blackhawks	Avalanche	away	3-4	-	-127	5.5	L	O	1
Oct 02, 2009	Fri	2009	Penguins	Rangers	home	3-2	-	-161	5.5	W	U	0
Oct 03, 2007	Wed	2007	Senators	Maple Leafs	away	4-3	-	-122	6	W	O	1
Sep 29, 2007	Sat	2007	Ducks	Kings	away	1-4	-	-123	6	L	U	0

Query Fundamentals

For more detailed information on SDQL including manuals and videos go HERE

The syntax for access to the NBA team data is: game reference:parameter. To see the date, team, and opponent where the team scored +120 points after scoring +120 runs in the previous game use the SDQL: date,team,o:team@points>120 and p:points>120

The syntax for access to the NBA player data: [team:]player name:game reference:parameter. To see the date, team, opponent and number of points by Kobe Bryant in the game after he scored more than 30 use the SDQL: date,team,o:team,Kobe Bryant:points@Kobe Bryant:p:points>30

Query Fundamentals:

A query consists of one or more clauses joined by and or or.

Examples:

The query:

50 < Kobe Bryant : points

and

site = away

The explain:

returns home games where Kobe Bryant scored more than 50 points on the road

If no player is given then results for the team are checked. E.g.

The query:

120 < Bulls : points

and

site = home

returns games in which the Bulls scored more than 120 points at home

points < 60

returns games when the team scored fewer than 60 points

Multiple conditions can be imposed using a comma delimited format.

points < 90,100,110

gives results grouped by points < 90, points < 100, and points < 110

You can comma-group on both sides of the inequality as per:

70,80,90,100 < points < 90,100,110

Game Reference

p :

team's previous game

N :

next match up

on :

opponent's next game

P :

previous match up

S :

starter's previous match up start

n :

team's next game

s :

starter's previous start

op :

opponent's previous game

Examples:

The query:

100 < t:rushing yards

and

to:rushing yards < 100

The explain:

Use this SDQL to see how teams do when rushing for more than 100 yards while holding their opponent to few than 100 yards

Queryable Fields

Game Fields

· after all star break
· attendance
· biggest lead
· coach
· conference
· date
· day
· division
· faceoffs won
· game number
· giveaways
· goals
· hits
· lead changes
· line
· linesmen
· losses
· margin
· margin after the first
· margin after the second
· margin after the third
· matchup losses
· matchup wins
· month
· opponent
· opponents
· ou margin
· ou streak
· over
· overtime
· penalties
· penalty minutes
· period scores
· pl margin
· playoffs
· power play goals
· power plays
· puck line
· puck line goals
· referees
· regulation line
· rest
· rot
· score after the first
· score after the second
· score after the third
· season
· shots on goal
· site
· site streak
· srslg
· start time
· streak
· takeaways
· team
· times tied
· total
· under
· wins

The query:

40 < p:points

and

40 < p2:points

and

40 < p3:points

and

40 < p4:points

Use this SDQL to see how teams do after scoring more than 40 points their last four games

2*P:points in the paint < Po:points in the paint

and

P:season = season

return games in which the team was outscored in the paint by a factor of 2 in their previous match up

The query:

0.25*p:points<=p:fast break points

and

po:points

The explain:

return games with a team off a win in which they scored at least 25% of their points from fast breaks

Short Cuts

H, A, W, L, F, D, O, U, C, X are short cuts for home,away,win,loss,favorite,dog,over the total,under the total, and conference. As with the parameter prefixes, these can be strung together without limit.

Examples:

The query:

and

p:HFL

and

pp:HFL

The explain:

returns home favorites after they just lost as home favorites their last two games

P:O

and

PP:O

and

PPP:O

and

PPPP:O

and

PPPPP:O

and

PPPPPP:O

The explain:

returns games where teams have gone over the total their last six matchups

In addition to the above single letter short cuts the following abbreviations are available:

· AASB - after the all star break
· BASB - before the all star break
· BL - biggest lead
· DAY - day game (start time<1700)
· DIV - divisional game
· M1 - margin after the first period
· M2 - margin after the second period
· M3 - margin after the third period
· NDIV - Non-Divisional Game
· NGT - night game (start time>=1700)
· OT - game went to overtime
· P1 - goals in the first period
· P2 - goals in the second period
· P3 - goals in the third period
· PEN - penalties
· PENM - penalty minutes
· REG - regular season
· S1 - goals in the first period
· S2 - goals in the second period
· S3 - goals in the third period
· SOG - shots on goal

NHL Trend Builder

For a more detailed review of how to use the Trend Builder, go HERE

Streak

Qualifier

Data Field
Rule

Filter Value

NHL Field Options

Available Fields

after all star break+
attendance+
biggest lead+
coach+
conference+
date
day+
division+
faceoffs won+
game number+
giveaways+
goals+
hits+
lead changes+
line✓
linesmen+
losses+
margin✓
margin after the first+
margin after the second+
margin after the third+
matchup losses+
matchup wins+
month+
opponent+
opponents+
ou margin✓
ou streak+
over+
over_invest✓
over_profit✓
overtime+
penalties+
penalty minutes+
period scores✓
pl margin✓
pl_invest✓
pl_profit✓
playoffs+
power play goals+
power plays+
puck line✓
puck line goals+
referees+
regulation line+
rest+
rot+
score after the first+
score after the second+
score after the third+
season✓
shots on goal+
site✓
site streak+
srslg+
start time+
streak+
su_invest✓
su_profit✓
takeaways+
team
times tied+
total✓
under+
under_invest✓
under_profit✓
wins+
Day✓
Opp✓
Final✓
Rest✓
SUr✓
OUr✓
ot✓

Queryable Fields

Game Fields

SimpleSearch Tips

Tips on Asking Questions:

1.) Commas save lives: Lets eat, grandma. Lets eat grandma. Two very different things. Use of commas:

Houston when not a dog coming off a home game

This means Houston is neither a dog nor coming off a home game.

Houston when not a dog, coming off a home game

This means Houston is not a dog and is coming off a home game.

2.) Be precise, literal, and don't assume.

How have the Bengals have done after having won 4 of their last 5 games?

This means how have the Bengals done after having won exactly 4 of their last 5 games. If they won 5 of their last 5 those instances would not appear in your results. If you want know how the Bengals have done after having won AT LEAST 4 of their last 5 games, specify it.

3.) Try to write proper English in a tangible complete sentence.

If you misspell words or don't articulate yourself clearly you're increasing the chances that you won't be understood or get the answer you're looking for. Don't hesitate to ask a question in our Discord Community if you're unsure.

Notes:

1.) We've tested the language learning model to be over 95% accurate at translating English, especially for simpler inquiries, and with its machine learning algorithms it will only continue to improve. Be aware that SimpleSearch may not understand you or properly translate 100% of the time dependent upon how articulate and concise your question is. Give your search results a Thumbs Up or Thumbs Down to help it learn. If you don't think it gave you the right answer, let it know. Conversely, if it looks correct, also let it know.

2.) SimpleSearch is not trained on player specific queries, yet.

3.) SDQL itself currently still provides more versatility for detailed searches like open ended queries, list searches, and custom table queries.

4.) SimpleSearch is currently available for NFL and NBA and we are actively working to expand its availability to all other sports.

Search Page

Query Fundamentals

Queryable Fields

Short Cuts

NHL Trend Builder

NHL Field Options

Queryable Fields

SimpleSearch Tips