KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerSports
f 
Search Page
Queries Remaining: 0
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:51-181 (-8.3, 22.0%)--0.00000000
ATS:109-112-11 (-0.4, 49.3%)-5.8% / -3.2%$-1,420 / $-7900.44701861
OU:119-105-8 (0.4, 53.1%)1.4% / -10.5%$350 / $-2,5900.19277343

season=2016 and line >= 7.0 and line<=9.0

Date Day Season Team Opp Site Final Rest Line Total SUm ATSm OUm Dps Dpa SUr ATSr OUr Ot
Jun 12, 2017Mon2016CavaliersWarriorsaway120-1292&28.5231-9-0.5188.759.25LLO0
Jun 04, 2017Sun2016CavaliersWarriorsaway113-1322&29222-19-10236.516.5LLO0
Jun 01, 2017Thu2016CavaliersWarriorsaway91-1136&97.5225-22-14.5-21-17.75-3.25LLU0
May 20, 2017Sat2016SpursWarriorshome108-1203&38.5214-12-3.5145.258.75LLO0
May 11, 2017Thu2016SpursRocketsaway114-751&17.52133946.5-2411.25-35.25WWU0
May 08, 2017Mon2016JazzWarriorshome95-1211&18.5207-26-17.59-4.2513.25LLO0
May 03, 2017Wed2016RaptorsCavaliersaway103-1251&17214-22-1514-0.514.5LLO0
Apr 26, 2017Wed2016BullsCelticsaway97-1082&28205-11-30-1.51.5LLP0
Apr 25, 2017Tue2016ThunderRocketsaway99-1051&17224-61-20-9.5-10.5LWU0
Apr 24, 2017Mon2016TrailblazersWarriorshome103-1281&18.5222-25-16.59-3.7512.75LLO0
Apr 19, 2017Wed2016ThunderRocketsaway111-1152&28225-4412.5-1.5LWO0
Apr 18, 2017Tue2016BucksRaptorsaway100-1062&27.5195-61.5116.254.75LWO0
Apr 18, 2017Tue2016JazzClippersaway91-992&29197-81-7-3-4LWU0
Apr 18, 2017Tue2016BullsCelticsaway111-971&172071421111-10WWO0
Apr 17, 2017Mon2016PacersCavaliersaway111-1171&18210-6218108LWO0
Apr 16, 2017Sun2016ThunderRocketsaway87-1183&37227-31-24-22-231LLU0
Apr 16, 2017Sun2016BullsCelticsaway106-1023&3720741116-5WWO0
Apr 15, 2017Sat2016BucksRaptorsaway97-832&27.51991421.5-191.25-20.25WWU0
Apr 15, 2017Sat2016PacersCavaliersaway108-1092&28.5209-17.587.750.25LWO0
Apr 12, 2017Wed2016TimberwolvesRocketsaway118-1230&18227-53148.55.5LWO0
Apr 12, 2017Wed2016MavericksGrizzliesaway100-930&27.5193714.507.25-7.25WWP0
Apr 11, 2017Tue2016HornetsHawksaway76-1030&18.5205-27-18.5-26-22.25-3.75LLU0
Apr 10, 2017Mon2016JazzWarriorsaway105-991&19207615-36-9WWU0
Apr 10, 2017Mon2016SeventysixersPacershome111-1201&18.5212-9-0.5199.259.75LLO0
Apr 10, 2017Mon2016MagicBullsaway75-1221&18.5214-47-38.5-17-27.7510.75LLU0
Apr 09, 2017Sun2016KingsRocketshome128-1351&18.5225-71.53819.7518.25LWO0
Apr 08, 2017Sat2016SeventysixersBuckshome82-901&17208-8-1-36-18.5-17.5LLU0
Apr 07, 2017Fri2016SunsThunderhome120-991&182262129-711-18WWU0
Apr 07, 2017Fri2016PelicansNuggetsaway106-1222&17.5230-16-8.5-2-5.253.25LLU0
Apr 05, 2017Wed2016SunsWarriorshome111-1202&09228-9031.51.5LPO0
Apr 05, 2017Wed2016NuggetsRocketsaway104-1100&28240-62-26-12-14LWU0
Apr 04, 2017Tue2016GrizzliesSpursaway89-951&19193-63-9-3-6LWU1
Apr 02, 2017Sun2016SunsRocketshome116-1230&17.5229-70.5105.254.75LWO0
Apr 02, 2017Sun2016BullsPelicansaway117-1100&1721171416151WWO0
Apr 02, 2017Sun2016LakersGrizzlieshome108-1030&1720851237.5-4.5WWO0
Apr 02, 2017Sun2016KnicksCelticshome94-1101&17.5207-16-8.5-3-5.752.75LLU0
Apr 02, 2017Sun2016PacersCavaliersaway130-1351&18215-535026.523.5LWO2
Mar 31, 2017Fri2016RocketsWarriorsaway98-1070&19231-90-26-13-13LPU0
Mar 31, 2017Fri2016PistonsBucksaway105-1080&17.5200-34.5138.754.25LWO1
Mar 29, 2017Wed2016KingsJazzhome82-1121&17.5195-30-22.5-1-11.7510.75LLU0
Mar 29, 2017Wed2016BucksCelticsaway103-1000&27.5209310.5-62.25-8.25WWU0
Mar 28, 2017Tue2016SunsHawksaway91-951&18218-44-32-14-18LWU0
Mar 27, 2017Mon2016MagicRaptorsaway112-1312&19209-19-10341222LLO0
Mar 27, 2017Mon2016PelicansJazzaway100-1080&17200-8-183.54.5LLO0
Mar 26, 2017Sun2016SeventysixersPacersaway94-1071&19211-13-4-10-7-3LLU0
Mar 26, 2017Sun2016LakersTrailblazershome81-971&07220-16-9-42-25.5-16.5LLU0
Mar 24, 2017Fri2016PelicansRocketsaway107-1172&38230-10-2-6-4-2LLU0
Mar 23, 2017Thu2016GrizzliesSpursaway90-971&18197-71-10-4.5-5.5LWU0
Mar 22, 2017Wed2016HawksWizardsaway100-1041&17215-43-11-4-7LWU0
Mar 22, 2017Wed2016PacersCelticsaway100-1091&18208-9-1101LLO0
Mar 20, 2017Mon2016NuggetsRocketsaway124-1251&18237-17129.52.5LWO0
Mar 17, 2017Fri2016BullsWizardsaway107-1121&17212-5274.52.5LWO0
Mar 17, 2017Fri2016NetsCelticshome95-980&18214-35-21-8-13LWU0
Mar 16, 2017Thu2016JazzCavaliersaway83-910&17.5207-8-0.5-33-16.75-16.25LLU0
Mar 15, 2017Wed2016MavericksWizardsaway112-1071&172085121111.5-0.5WWO0
Mar 15, 2017Wed2016BucksClippersaway97-961&17.520918.5-16-3.75-12.25WWU0
Mar 14, 2017Tue2016PistonsCavaliersaway96-1282&18215-32-249-7.516.5LLO0
Mar 13, 2017Mon2016HawksSpursaway99-1071&17203-8-1312LLO0
Mar 12, 2017Sun2016BullsCelticsaway80-1001&17.5208-20-12.5-28-20.25-7.75LLU0
Mar 11, 2017Sat2016MagicCavaliershome104-1160&19215-12-3514LLO0
Mar 10, 2017Fri2016KingsWizardshome122-1301&17.5214-8-0.53818.7519.25LLO1
Mar 10, 2017Fri2016MagicHornetsaway81-1211&18205-40-32-3-17.514.5LLU0
Mar 08, 2017Wed2016CelticsWarriorsaway99-861&182221321-37-8-29WWU0
Mar 08, 2017Wed2016JazzRocketsaway115-1081&17216714710.5-3.5WWO0
Mar 07, 2017Tue2016LakersMavericksaway111-1221&18.5207-11-2.52611.7514.25LLO0
Mar 06, 2017Mon2016CelticsClippersaway102-1160&17218-14-70-3.53.5LLP0
Mar 06, 2017Mon2016HeatCavaliersaway106-981&18216816-122-14WWU0
Mar 05, 2017Sun2016KingsJazzhome109-1103&19193-1826179LWO1
Mar 04, 2017Sat2016TimberwolvesSpursaway90-972&07.5205-70.5-18-8.75-9.25LWU1
Mar 04, 2017Sat2016GrizzliesRocketsaway108-1230&28.5221-15-6.5101.758.25LLO0
Mar 04, 2017Sat2016CavaliersHeataway92-1200&08210-28-202-911LLO0
Mar 03, 2017Fri2016LakersCelticshome95-1152&17.5219-20-12.5-9-10.751.75LLU0
Feb 27, 2017Mon2016BucksCavaliersaway95-1020&18218-71-21-10-11LWU0
Feb 24, 2017Fri2016SeventysixersWizardshome120-1128&782188161415-1WWO0
Feb 15, 2017Wed2016KnicksThunderaway105-1162&17.5218-11-3.53-0.253.25LLO0
Feb 15, 2017Wed2016TrailblazersJazzaway88-1111&19205-23-14-6-104LLU0
Feb 15, 2017Wed2016PelicansGrizzliesaway95-911&18205412-19-3.5-15.5WWU0
Feb 13, 2017Mon2016NetsGrizzlieshome103-1122&29211-90422LPO0
Feb 13, 2017Mon2016ClippersJazzaway88-721&182061624-46-11-35WWU0
Feb 13, 2017Mon2016SeventysixersHornetsaway105-991&18212614-83-11WWU0
Feb 13, 2017Mon2016MagicHeataway116-1071&18.5209917.51415.75-1.75WWO0
Feb 12, 2017Sun2016KnicksSpurshome94-901&18211412-27-7.5-19.5WWU0
Feb 11, 2017Sat2016ThunderWarriorshome114-1301&08228-16-816412LLO0
Feb 10, 2017Fri2016GrizzliesWarriorshome107-1221&18216-15-713310LLO0
Feb 09, 2017Thu2016CavaliersThunderaway109-1180&28.5219-9-0.583.754.25LLO0
Feb 08, 2017Wed2016LakersPistonsaway102-1211&17.5218-19-11.55-3.258.25LLO0
Feb 08, 2017Wed2016KingsCelticshome108-921&28.52121624.5-126.25-18.25WWU0
Feb 08, 2017Wed2016SunsGrizzliesaway91-1101&19210-19-10-9-9.50.5LLU0
Feb 05, 2017Sun2016NetsRaptorshome95-1031&17216-8-1-18-9.5-8.5LLU0
Feb 04, 2017Sat2016PelicansWizardsaway91-1052&17.5217-14-6.5-21-13.75-7.25LLU0
Feb 04, 2017Sat2016HornetsJazzaway98-1052&28197-7163.52.5LWO0
Feb 04, 2017Sat2016SeventysixersHeataway102-1251&29209-23-1418216LLO0
Feb 04, 2017Sat2016MagicHawksaway86-1130&17.5208-27-19.5-9-14.255.25LLU0
Feb 03, 2017Fri2016BullsRocketsaway117-1211&07.5223-43.5159.255.75LWO1
Feb 03, 2017Fri2016NetsPacershome97-1061&17219-9-2-16-9-7LLU0
Feb 02, 2017Thu2016HawksRocketsaway113-1080&19224514-35.5-8.5WWU0
Feb 02, 2017Thu2016ClippersWarriorshome120-1330&08.5230-13-4.5239.2513.75LLO0
Feb 01, 2017Wed2016PelicansPistonsaway98-1180&17.5213-20-12.53-4.757.75LLO0
Feb 01, 2017Wed2016BucksJazzaway88-1043&38197-16-8-5-6.51.5LLU0
Feb 01, 2017Wed2016TimberwolvesCavaliersaway97-1251&17216-28-216-7.513.5LLO0
Jan 31, 2017Tue2016KnicksWizardsaway101-1171&18217-16-81-3.54.5LLO0
Jan 30, 2017Mon2016MagicTimberwolvesaway105-1110&18213-6232.50.5LWO1
Jan 30, 2017Mon2016NetsHeataway96-1041&18.5218-80.5-18-8.75-9.25LWU0
Jan 29, 2017Sun2016ThunderCavaliersaway91-1072&17.5218-16-8.5-20-14.25-5.75LLU0
Jan 29, 2017Sun2016SeventysixersBullsaway108-1211&17206-13-6238.514.5LLO0
Jan 28, 2017Sat2016GrizzliesJazzaway102-950&17191714610-4WWO0
Jan 27, 2017Fri2016MagicCelticsaway98-1282&18.5215-30-21.511-5.2516.25LLO0
Jan 26, 2017Thu2016MavericksThunderaway98-1090&09198-11-293.55.5LLO0
Jan 25, 2017Wed2016LakersTrailblazersaway98-1052&38.5221-71.5-18-8.25-9.75LWU0
Jan 23, 2017Mon2016PelicansCavaliershome124-1222&17.521729.52919.259.75WWO0
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
· pace
· 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
· BL - biggest lead
· DAY - day game (start time<1700)
· 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
· LC - lead changes
· LSP - Leading Scorers Points
· M1 - margin after the first
· M2 - margin at the half
· M3 - margin after the third
· NGT - night game (start time>=1700)
· ORB - Offensive Rebounds
· OT - overtime
· 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
· REG - regular season
· S1 - points in the first
· S2 - total points after the second
· S3 - total points after the third
· SG - series game
· TO - turnovers
· TOM - turnover margin
· 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 
    • margin as "SUm"✓
    • ats margin as "ATSm"✓
    • ou margin as "OUm"✓
    • 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+
    • pace+
    • 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
    · pace
    · 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.