KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerCapper
KillerSports
f 
Search Page
Queries Remaining: 3
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:102-50 (5.3, 67.1%)--0.00001494
ATS:67-81-4 (-0.7, 45.3%)-13.6% / 4.5%$-2,210 / $7300.14285544
OU:80-68-4 (2.9, 54.1%)3.2% / -12.3%$520 / $-2,0000.18328797

line < 0 and season = 2016 and day = Tuesday

Date Day Season Team Opp Site Final Rest Line Total SUm ATSm OUm Dps Dpa SUr ATSr OUr Ot
May 23, 2017Tue2016CavaliersCelticshome112-991&1-1521513-2-4-3-1WLU0
May 16, 2017Tue2016WarriorsSpurshome136-1001&1-13.52113622.52523.751.25WWO0
May 09, 2017Tue2016SpursRocketshome110-1071&1-52153-2202WLO1
May 02, 2017Tue2016WarriorsJazzhome106-947&1-1320712-1-7-4-3WLU0
May 02, 2017Tue2016CelticsWizardshome129-1191&1-52201052816.511.5WWO1
Apr 25, 2017Tue2016SpursGrizzlieshome116-1032&2-101871333217.514.5WWO0
Apr 25, 2017Tue2016RocketsThunderhome105-991&1-72246-1-20-10.5-9.5WLU0
Apr 25, 2017Tue2016ClippersJazzhome92-961&1-3195-4-7-7-70LLU0
Apr 18, 2017Tue2016RaptorsBuckshome106-1002&2-7.51956-1.5114.756.25WLO0
Apr 18, 2017Tue2016ClippersJazzhome99-912&2-91978-1-7-4-3WLU0
Apr 18, 2017Tue2016CelticsBullshome97-1111&1-7207-14-211-1011LLO0
Apr 11, 2017Tue2016TimberwolvesThunderhome98-1001&1-4.5206-2-6.5-8-7.25-0.75LLU0
Apr 11, 2017Tue2016MavericksNuggetshome91-1091&1-1213-18-19-13-163LLU0
Apr 11, 2017Tue2016LakersPelicanshome108-961&2-3219129-15-3-12WWU0
Apr 11, 2017Tue2016KingsSunshome129-1041&1-4.52182520.51517.75-2.75WWO0
Apr 11, 2017Tue2016HawksHornetshome103-761&0-8.52052718.5-26-3.75-22.25WWU0
Apr 04, 2017Tue2016WizardsHornetshome118-1111&1-422073963WWO0
Apr 04, 2017Tue2016WarriorsTimberwolveshome121-1071&0-1421914094.54.5WPO0
Apr 04, 2017Tue2016ThunderBuckshome110-791&1-5.52103125.5-212.25-23.25WWU0
Apr 04, 2017Tue2016SpursGrizzlieshome95-891&1-91936-3-9-6-3WLU1
Apr 04, 2017Tue2016NetsSeventysixersaway141-1181&1-222323213628.57.5WWO0
Apr 04, 2017Tue2016PelicansNuggetshome131-1341&1-2229-3-53615.520.5LLO0
Apr 04, 2017Tue2016PacersRaptorshome108-901&1-32031815-55-10WWU0
Apr 04, 2017Tue2016BullsKnicksaway91-1001&1-3.5204-9-12.5-13-12.75-0.25LLU0
Apr 04, 2017Tue2016JazzTrailblazershome106-871&0-6.52011912.5-82.25-10.25WWU0
Apr 04, 2017Tue2016CavaliersMagichome122-1021&2-1122220925.5-3.5WWO0
Mar 28, 2017Tue2016TrailblazersNuggetshome122-1131&1-2.522596.5108.251.75WWO0
Mar 28, 2017Tue2016RocketsWarriorshome106-1131&1-1234-7-8-15-11.5-3.5LLU0
Mar 28, 2017Tue2016HeatPistonsaway97-961&0-2.52011-1.5-8-4.75-3.25WLU0
Mar 28, 2017Tue2016PacersTimberwolveshome114-1151&2-4208-1-521813LLO0
Mar 28, 2017Tue2016NetsSeventysixershome101-1061&1-3.5223-5-8.5-16-12.25-3.75LLU0
Mar 28, 2017Tue2016WizardsLakersaway119-1082&1-9.5226111.511.25-0.25WWO0
Mar 28, 2017Tue2016HornetsBuckshome108-1181&1-3.5201-10-13.5255.7519.25LLO0
Mar 28, 2017Tue2016HawksSunshome95-911&1-82184-4-32-18-14WLU0
Mar 21, 2017Tue2016TrailblazersBuckshome90-931&2-4209-3-7-26-16.5-9.5LLU0
Mar 21, 2017Tue2016SpursTimberwolvesaway100-931&1-520672-13-5.5-7.5WWU0
Mar 21, 2017Tue2016RaptorsBullshome122-1201&2-6.52012-4.54118.2522.75WLO1
Mar 21, 2017Tue2016PelicansGrizzlieshome95-821&2-32061310-29-9.5-19.5WWU0
Mar 21, 2017Tue2016PistonsNetsaway96-981&1-5215-2-7-21-14-7LLU0
Mar 21, 2017Tue2016WarriorsMavericksaway112-870&1-52092520-105-15WWU0
Mar 21, 2017Tue2016ClippersLakersaway133-1090&1-1022124142117.53.5WWO0
Mar 21, 2017Tue2016HeatSunshome112-971&1-12.5215152.5-6-1.75-4.25WWU0
Mar 14, 2017Tue2016WarriorsSeventysixershome106-1042&1-16.52202-14.5-10-12.252.25WLU0
Mar 14, 2017Tue2016PelicansTrailblazershome100-772&1-42152319-38-9.5-28.5WWU0
Mar 14, 2017Tue2016ThunderNetsaway122-1042&1-6.52261811.505.75-5.75WWP0
Mar 14, 2017Tue2016PacersKnicksaway81-871&1-3210-6-9-42-25.5-16.5LLU0
Mar 14, 2017Tue2016CavaliersPistonshome128-961&2-82153224916.5-7.5WWO0
Mar 07, 2017Tue2016ThunderTrailblazershome121-1261&2-6.5223-5-11.5246.2517.75LLO0
Mar 07, 2017Tue2016WizardsSunsaway131-1271&1-4.52304-0.52813.7514.25WLO0
Mar 07, 2017Tue2016MavericksLakershome122-1111&1-8.5207112.52614.2511.75WWO0
Feb 28, 2017Tue2016WarriorsWizardsaway108-1120&1-6230-4-10-10-100LLU0
Feb 28, 2017Tue2016JazzThunderaway106-1091&1-1.5205-3-4.5102.757.25LLO0
Feb 28, 2017Tue2016PistonsTrailblazershome120-1131&1-42147319118WWO1
Feb 28, 2017Tue2016HornetsLakersaway109-1041&1-421551-2-0.5-1.5WWU0
Feb 28, 2017Tue2016GrizzliesSunshome130-1121&1-10212188301911WWO0
Feb 28, 2017Tue2016BullsNuggetshome107-1252&1-2.5223-18-20.59-5.7514.75LLO0
Feb 14, 2017Tue2016CavaliersTimberwolvesaway116-1082&1-4.522083.543.750.25WWO0
Feb 14, 2017Tue2016LakersKingshome96-973&1-2218-1-3-25-14-11LLU0
Feb 14, 2017Tue2016RaptorsBullsaway94-1051&1-4.5208-11-15.5-9-12.253.25LLU0
Feb 07, 2017Tue2016RocketsMagichome128-1043&2-122242412810-2WWO0
Feb 07, 2017Tue2016TrailblazersMavericksaway114-1131&0-1.52071-0.5209.7510.25WLO0
Feb 07, 2017Tue2016HornetsNetshome111-1072&1-102184-60-33WLP0
Jan 31, 2017Tue2016WizardsKnickshome117-1011&1-821716814.5-3.5WWO0
Jan 31, 2017Tue2016TrailblazersHornetshome115-981&2-3.52141713.5-16.25-7.25WWU0
Jan 31, 2017Tue2016SpursThunderhome108-941&1-9.5210144.5-8-1.75-6.25WWU0
Jan 31, 2017Tue2016RocketsKingshome105-831&0-122252210-37-13.5-23.5WWU0
Jan 31, 2017Tue2016RaptorsPelicanshome108-1061&1-6.52142-4.50-2.252.25WLP1
Jan 31, 2017Tue2016NuggetsLakersaway116-1202&4-1227-4-5927LLO0
Jan 24, 2017Tue2016WizardsCelticshome123-1080&2-121915141213-1WWO0
Jan 24, 2017Tue2016TimberwolvesSunsaway112-1111&1-121510844WPO0
Jan 24, 2017Tue2016ClippersSeventysixersaway110-1210&2-4.5204-11-15.5275.7521.25LLO0
Jan 24, 2017Tue2016NuggetsJazzhome103-931&0-2211108-15-3.5-11.5WWU0
Jan 24, 2017Tue2016BullsMagicaway100-922&1-320585-13-4-9WWU0
Jan 17, 2017Tue2016SpursTimberwolveshome122-1142&1-11.52028-3.53415.2518.75WLO0
Jan 17, 2017Tue2016RaptorsNetsaway119-1091&1-1022710010.50.5WPO0
Jan 17, 2017Tue2016NuggetsLakersaway127-1210&1-12296519127WWO0
Jan 17, 2017Tue2016RocketsHeataway103-1091&3-7221-6-13-9-112LLU0
Jan 17, 2017Tue2016BullsMaverickshome98-991&1-4.5197-1-5.50-2.752.75LLP0
Jan 10, 2017Tue2016WizardsBullshome101-991&0-10.52042-8.5-4-6.252.25WLU0
Jan 10, 2017Tue2016WarriorsHeathome107-951&1-14.521812-2.5-16-9.25-6.75WLU0
Jan 10, 2017Tue2016SpursBuckshome107-1092&1-9.5204-2-11.5120.2511.75LLO0
Jan 10, 2017Tue2016RocketsHornetshome121-1141&2-92277-2835WLO0
Jan 10, 2017Tue2016RaptorsCelticshome114-1061&2-5.521982.511.75-0.75WWO0
Jan 10, 2017Tue2016HawksNetsaway117-972&1-8.52152011.5-15.25-6.25WWU0
Jan 10, 2017Tue2016TrailblazersLakersaway108-871&1-22262119-31-6-25WWU0
Jan 10, 2017Tue2016KingsPistonshome100-941&1-320563-11-4-7WWU0
Jan 10, 2017Tue2016CavaliersJazzaway92-1001&1-1.5201-8-9.5-9-9.250.25LLU0
Jan 03, 2017Tue2016SunsHeathome99-900&1-4.521094.5-21-8.25-12.75WWU0
Jan 03, 2017Tue2016SpursRaptorshome110-821&1-6.52072821.5-153.25-18.25WWU0
Jan 03, 2017Tue2016TimberwolvesSeventysixersaway91-931&3-4204-2-6-20-13-7LLU0
Jan 03, 2017Tue2016PistonsPacershome116-1211&1-4205-5-93211.520.5LLO0
Jan 03, 2017Tue2016NuggetsKingshome113-1200&2-3216-7-10173.513.5LLO0
Jan 03, 2017Tue2016GrizzliesLakersaway102-1162&1-4207-14-1811-3.514.5LLO0
Jan 03, 2017Tue2016CelticsJazzhome115-1043&0-62011151811.56.5WWO0
Dec 27, 2016Tue2016RocketsMavericksaway123-1070&0-6.5211169.51914.254.75WWO0
Dec 27, 2016Tue2016JazzLakersaway102-1003&1-4.52052-2.5-3-2.75-0.25WLU0
Dec 27, 2016Tue2016ThunderHeataway106-941&3-5203127-32-5WWU0
Dec 27, 2016Tue2016CelticsGrizzlieshome113-1031&0-719910317107WWO0
Dec 20, 2016Tue2016WarriorsJazzhome104-742&1-12.52103017.5-32-7.25-24.75WWU0
Dec 20, 2016Tue2016PelicansSeventysixersaway108-931&1-3.52081511.5-72.25-9.25WWU0
Dec 20, 2016Tue2016RaptorsNetshome116-1041&1-1522412-3-4-3.5-0.5WLU0
Dec 20, 2016Tue2016KnicksPacershome118-1112&0-5.521171.5189.758.25WWO0
Dec 20, 2016Tue2016HornetsLakershome117-1132&2-8.52144-4.5165.7510.25WLO0
Dec 20, 2016Tue2016HeatMagichome130-1361&1-3199-6-9672938LLO2
Dec 20, 2016Tue2016CelticsGrizzliesaway112-1091&1-2.519530.52613.2512.75WWO1
Dec 20, 2016Tue2016ClippersNuggetshome119-1021&0-921817835.5-2.5WWO0
Dec 20, 2016Tue2016CavaliersBucksaway114-1082&3-3.521362.595.753.25WWO1
Dec 13, 2016Tue2016TrailblazersThunderhome114-950&1-2.52181916.5-93.75-12.75WWU0
Dec 13, 2016Tue2016KnicksSunsaway111-1131&1-2219-2-450.54.5LLO1
Dec 13, 2016Tue2016WarriorsPelicansaway113-1091&1-10.52254-6.5-3-4.751.75WLU0
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.