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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?

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Results

Averages

Avg Line: 3.6Avg Total: 204.7

	Record (W-L, Avg Cover Margin, Win %)	ROI	Profit	P-Value
SU:	2-13 (-10.4, 13.3%)	-	-	0.00369263
ATS:	1-13-1 (-6.8, 7.1%)	-86.4% / 77.3%	$-1,330 / $1,190	0.00091553
OU:	8-7-0 (6.3, 53.3%)	1.8% / -10.9%	$30 / $-180	0.50000000

	FG	Pc	FT	Pc	3s	Pc	BLKS	O-RBND	RBND	Fouls	AST	TOvers	Q1	Q2	Q3	Q4	Final
Team	37.53	46.2	20.67	76.9	4.60	30.0	4.07	10.93	39.60	18.73	22.47	13.93	24.9	23.7	25.2	25.9	100.3
Opp	41.93	50.3	16.73	79.9	10.13	39.5	4.40	9.80	39.53	21.20	22.40	12.93	27.7	27.7	25.7	29.1	110.7

H and Timberwolves:Zach Lavine:p:points=max:p:points and p:L and date>=20141208

Date	Day	Season	Team	Opp	Site	Final	Rest	Line	Total	Dps	Dpa	SUr	ATSr	OUr	Ot
Jan 09, 2017	Mon	2016	Timberwolves	Mavericks	home	101-92	1&1	-5	195	1	-3	W	W	U	0
Dec 09, 2016	Fri	2016	Timberwolves	Pistons	home	90-117	0&1	3.5	204	-10.25	13.25	L	L	O	0
Nov 30, 2016	Wed	2016	Timberwolves	Knicks	home	104-106	1&1	-3.5	212	-3.75	1.75	L	L	U	0
Nov 28, 2016	Mon	2016	Timberwolves	Jazz	home	103-112	1&2	3	195	7	13	L	L	O	0
Nov 21, 2016	Mon	2016	Timberwolves	Celtics	home	93-99	1&1	2	207	-9.5	-5.5	L	L	U	0
Feb 20, 2016	Sat	2015	Timberwolves	Knicks	home	95-103	0&0	-2	207	-9.5	0.5	L	L	U	0
Dec 26, 2015	Sat	2015	Timberwolves	Pacers	home	88-102	2&2	4.5	206	-12.75	-3.25	L	L	U	0
Dec 15, 2015	Tue	2015	Timberwolves	Nuggets	home	100-112	1&0	-5.5	205	-5.25	12.25	L	L	O	0
Dec 09, 2015	Wed	2015	Timberwolves	Lakers	home	123-122	1&1	-7	205	17	23	W	L	O	1
Nov 15, 2015	Sun	2015	Timberwolves	Grizzlies	home	106-114	1&1	4	195	10.5	14.5	L	L	O	0
Nov 12, 2015	Thu	2015	Timberwolves	Warriors	home	116-129	1&0	10	211	15.5	18.5	L	L	O	0
Apr 15, 2015	Wed	2014	Timberwolves	Thunder	home	113-138	1&1	14	213	13.5	24.5	L	L	O	0
Apr 13, 2015	Mon	2014	Timberwolves	Pelicans	home	88-100	1&0	12	198	-5	-5	L	P	U	0
Apr 01, 2015	Wed	2014	Timberwolves	Raptors	home	99-113	1&1	9.5	204	1.75	6.25	L	L	O	0
Dec 08, 2014	Mon	2014	Timberwolves	Warriors	home	86-102	1&1	14	214	-14	-12	L	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
· 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:

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

Streak

Qualifier

Data Field
Rule

Filter Value

NBA Field Options

Available 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+
Day✓
Opp✓
Final✓
Rest✓
SUr✓
ATSr✓
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

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Queryable Fields

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