KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerSports
f 
Search Page
Queries Remaining: 4
Advanced Tools:

↓  SimpleSearch is Activated, you may now use plain English in the search bar below.  ↓

How do the Knicks do when coming off back to back losses?
How do road teams do when they are unrested?
After a game with more than 30 assists
Teams after having allowed more than 130 points.
Find all games where a team is off an upset win.
Teams with a losing streak of at least 4.
When the Celtics are coming off a home loss.
Show all games where the Heat scored more than 130 points.
Display all games where a team is unrested and lost yesterday.
Losing teams at home?
Copy Query URL Share on  
Logo
Record (W-L, Avg Cover Margin, Win %)ROIProfitP-Value
SU:1-60 (-20.3, 1.6%)--0.00000000
ATS:3-58-0 (-15.0, 4.9%)-90.6% / 81.5%$-6,080 / $5,4700.00000000
OU:0-61-0 (-28.8, 0.0%)-100.0% / 90.9%$-6,710 / $6,1000.00000000

points = 67

Date Day Season Team Opp Site Final Rest Line Total Dps Dpa SUr ATSr OUr Ot
Mar 29, 2014Sat2013BucksHeathome67-881&010198-27-16LLU0
Feb 21, 2013Thu2012BullsHeathome67-861&03186-24.5-8.5LLU0
Apr 28, 2012Sat2011KnicksHeataway67-1001&18.5187-22.252.25LLU0
Apr 26, 2012Thu2011NetsRaptorsaway67-982&27184-21.52.5LLU0
Apr 16, 2012Mon2011HornetsPelicanshome67-750&06.5185-22.25-20.75LLU0
Feb 08, 2012Wed2011PelicansBullshome67-901&110182-19-6LLU0
Jan 27, 2012Fri2011MagicPelicansaway67-930&1-3.5177-23.256.25LLU0
Jun 15, 2010Tue2009CelticsLakersaway67-891&16.5189-24.25-8.75LLU0
Feb 22, 2010Mon2009KnicksBuckshome67-831&1-1209-38-21LLU0
Apr 23, 2009Thu2008SpursMavericksaway67-882&25190-25.5-9.5LLU0
Apr 05, 2009Sun2008SeventysixersNetsaway67-960&0-3197-33-1LLU0
Feb 21, 2009Sat2008WizardsSpurshome67-980&17.5193-25.75-2.25LLU0
Feb 03, 2008Sun2007MavericksPistonsaway67-902&25185-23-5LLU0
Jan 30, 2008Wed2007BullsTimberwolvesaway67-830&04.5186-23.75-12.25LLU0
Dec 21, 2007Fri2007GrizzliesPistonsaway67-941&110201-28.5-11.5LLU0
Apr 26, 2007Thu2006RocketsJazzaway67-812&24.5186-23.75-14.25LLU0
Mar 01, 2006Wed2005PelicansClippersaway67-890&17187-23-8LLU0
Nov 01, 2005Tue2005KingsPelicansaway67-93--7.5193-33.250.25LLU0
May 17, 2005Tue2004PacersPistonsaway67-861&18.5172-14.75-4.25LLU0
Jan 15, 2005Sat2004SpursRocketsaway67-730&1-6183-27.5-15.5LLU0
Dec 17, 2004Fri2004PelicansSpurshome67-831&114170-11-9LLU0
Nov 29, 2004Mon2004PelicansNuggetsaway67-760&110180-18-19LWU0
Nov 12, 2004Fri2004WarriorsGrizzliesaway67-961&19180-18.51.5LLU0
May 24, 2004Mon2003PacersPistonshome67-721&1-4.5162-16.25-6.75LLU0
Apr 14, 2004Wed2003NuggetsSpursaway67-931&114181-16.5-4.5LLU0
Mar 21, 2004Sun2003MagicSupersonicsaway67-840&113193-23-19LLU0
Jan 27, 2004Tue2003KnicksSpurshome67-772&02181-22.5-14.5LLU0
Jan 09, 2004Fri2003HawksLakersaway67-1132&18194-2612LLU0
Dec 15, 2003Mon2003GrizzliesSpursaway67-781&18177-17.5-14.5LLU0
Dec 11, 2003Thu2003RocketsSpurshome67-711&0-1.5169-18.25-12.75LLU0
Dec 05, 2003Fri2003ClippersJazzaway67-861&17190-24.5-12.5LLU0
Apr 30, 2003Wed2002MagicPistonsaway67-982&26182-214LLU0
Feb 01, 2003Sat2002SpursHeataway67-650&0-5180-25.5-22.5WLU0
Oct 29, 2002Tue2002CavaliersKingsaway67-94-13201-27-13LLU0
Apr 14, 2002Sun2001HeatKnickshome67-941&1-7184-28.55.5LLUFalse
Jan 16, 2002Wed2001WizardsNetsaway67-1110&19185-2114LLUFalse
Apr 18, 2001Wed2000SpursSupersonicsaway67-1050&2-3.5190-29.7511.75LLUFalse
Mar 14, 2001Wed2000BullsSeventysixershome67-851&26177-18.5-6.5LLUFalse
Jan 29, 2001Mon2000ClippersSpurshome67-961&16183-21.51.5LLUFalse
Jan 24, 2001Wed2000KnicksPelicansaway67-810&04168-15-5LLUFalse
Jan 01, 2001Mon2000PelicansTrailblazersaway67-891&27.5182-20.25-5.75LLUFalse
Nov 24, 2000Fri2000HawksSeventysixershome67-761&17177-18-16LLUFalse
Nov 22, 2000Wed2000HeatCavaliershome67-863&0-7174-23.52.5LLUFalse
Nov 11, 2000Sat2000PelicansKnicksaway67-811&02194-29-17LLUFalse
Mar 22, 2000Wed1999BullsKnicksaway67-781&012.5170-11.75-13.25LWUFalse
Mar 08, 2000Wed1999BullsMagicaway67-1030&111186-20.54.5LLUFalse
Feb 22, 2000Tue1999NuggetsSunsaway67-860&09.5196-26.25-16.75LLUFalse
Feb 04, 2000Fri1999JazzLakersaway67-1130&28182-2018LLUFalse
Jan 29, 2000Sat1999SpursTrailblazersaway67-811&14179-20.5-10.5LLUFalse
Apr 19, 1999Mon1998KnicksSeventysixersaway67-721&02168-16-13LLUFalse
Apr 10, 1999Sat1998HawksCavaliersaway67-810&14.5168-14.75-5.25LLUFalse
Apr 09, 1999Fri1998CelticsSeventysixershome67-830&12.5184-23.75-10.25LLUFalse
Mar 01, 1999Mon1998HawksMagicaway67-701&06.5170-14.75-18.25LWUFalse
Feb 19, 1999Fri1998SeventysixersKnickshome67-780&0-2170-19-6LLUFalse
Feb 16, 1999Tue1998BullsHawkshome67-831&17.5169-13.75-5.25LLUFalse
Jan 21, 1998Wed1997NuggetsPistonshome67-870&110.5184-19.75-10.25LLUFalse
Jan 10, 1998Sat1997KingsSpursaway67-1091&09.5179-17.7514.75LLUFalse
Dec 22, 1997Mon1997MavericksKnicksaway67-791&111184-19.5-18.5LLUFalse
Dec 03, 1997Wed1997WarriorsCavaliershome67-953&311.5183-18.75-2.25LLUFalse
Jan 16, 1997Thu1996MagicHawksaway67-780&19.5179-17.75-16.25LLUFalse
Mar 19, 1996Tue1995KingsBullsaway67-891&011.5197-25.75-15.25LLUFalse
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

· after all star break
· assists
· ats margin
· ats streak
· attendance
· biggest lead
· blocks
· coach
· conference
· date
· day
· defensive rebounds
· division
· dpa
· dps
· fast break points
· field goals attempted
· field goals made
· fouls
· free throws attempted
· free throws made
· game number
· lead changes
· line
· losses
· margin
· margin after the first
· margin after the third
· margin at the half
· matchup losses
· matchup wins
· minutes
· month
· offensive rebounds
· officials
· opponent
· opponents
· ou margin
· ou streak
· overtime
· playoffs
· points
· points in the paint
· quarter scores
· rebounds
· rest
· round
· score after the first
· score after the third
· score at the half
· season
· seed
· series game
· series games
· series losses
· series wins
· site
· site streak
· srslg
· start time
· steals
· streak
· team
· team rebounds
· three pointers attempted
· three pointers made
· time zone
· times tied
· total
· tournament
· turnovers
· 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:

HF

×

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
· AST - assists
· ATR - assist to turnover ratio
· ATSL - against the spread loss
· ATSW - against the spread win
· AWP - Away Winning Percentage
· BAP - Baskets Assisted percentage
· BASB - before the all star break
· DDS - Double Digit Scorers
· DRB - Defensive Rebounds
· FBP - fast break points
· FGA - field goals attempted
· FGM - field goals made
· FGP - field goal percentage
· FTA - free throws attempted
· FTM - free throws made
· FTP - free throw percentage
· HWP - Home Winning Percentage
· LSP - Leading Scorers Points
· M1 - margin after the first
· M2 - margin at the half
· M3 - margin after the third
· ORB - Offensive Rebounds
· P1 - points in the first
· P2 - points in the second
· P3 - points in the third
· P4 - points in the fourth
· PFT - percentage of points from free throws
· PIP - points in the paint
· PM - plus / minus (player level parameter)
· PTP - percentage of points from three pointers
· RB - Rebounds
· S1 - points in the first
· S2 - total points after the second
· S3 - total points after the third
· TO - turnovers
· TPA - three pointers attempted
· TPM - three pointers made
· TPP - three point percentage
· TT - Times Tied
· WP - team winning percentage

NBA Trend Builder

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












    NBA Field Options
     as 
    • after all star break+
    • assists+
    • ats margin✓
    • ats streak+
    • attendance+
    • biggest lead+
    • blocks+
    • coach+
    • conference+
    • date#
    • day+
    • defensive rebounds+
    • division+
    • dpa✓
    • dps✓
    • fast break points+
    • field goals attempted+
    • field goals made+
    • fouls+
    • free throws attempted+
    • free throws made+
    • game number+
    • lead changes+
    • line✓
    • losses+
    • margin✓
    • margin after the first+
    • margin after the third+
    • margin at the half+
    • matchup losses+
    • matchup wins+
    • minutes+
    • month+
    • offensive rebounds+
    • officials+
    • opponent+
    • opponents+
    • ou margin✓
    • ou streak+
    • overtime+
    • playoffs+
    • points+
    • points in the paint+
    • quarter scores✓
    • rebounds+
    • rest+
    • round+
    • score after the first+
    • score after the third+
    • score at the half+
    • season✓
    • seed+
    • series game+
    • series games+
    • series losses+
    • series wins+
    • site✓
    • site streak+
    • srslg+
    • start time+
    • steals+
    • streak+
    • team#
    • team rebounds+
    • three pointers attempted+
    • three pointers made+
    • time zone+
    • times tied+
    • total✓
    • tournament+
    • turnovers+
    • wins+
    • Day✓
    • Opp✓
    • Final✓
    • Rest✓
    • SUr✓
    • ATSr✓
    • OUr✓
    • ot✓
    Queryable Fields

    · after all star break
    · assists
    · ats margin
    · ats streak
    · attendance
    · biggest lead
    · blocks
    · coach
    · conference
    · date
    · day
    · defensive rebounds
    · division
    · dpa
    · dps
    · fast break points
    · field goals attempted
    · field goals made
    · fouls
    · free throws attempted
    · free throws made
    · game number
    · lead changes
    · line
    · losses
    · margin
    · margin after the first
    · margin after the third
    · margin at the half
    · matchup losses
    · matchup wins
    · minutes
    · month
    · offensive rebounds
    · officials
    · opponent
    · opponents
    · ou margin
    · ou streak
    · overtime
    · playoffs
    · points
    · points in the paint
    · quarter scores
    · rebounds
    · rest
    · round
    · score after the first
    · score after the third
    · score at the half
    · season
    · seed
    · series game
    · series games
    · series losses
    · series wins
    · site
    · site streak
    · srslg
    · start time
    · steals
    · streak
    · team
    · team rebounds
    · three pointers attempted
    · three pointers made
    · time zone
    · times tied
    · total
    · tournament
    · turnovers
    · wins

    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.