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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: 7.2Avg Total: 213.4

	Record (W-L, Avg Cover Margin, Win %)	ROI	Profit	P-Value
SU:	5-17 (-5.5, 22.7%)	-	-	0.00845027
ATS:	10-12-0 (1.7, 45.5%)	-13.2% / 4.1%	$-320 / $100	0.41590595
OU:	11-9-2 (-1.0, 55.0%)	5.0% / -14.1%	$110 / $-310	0.41190147

	FG	Pc	FT	Pc	3s	Pc	BLKS	O-RBND	RBND	Fouls	AST	TOvers	Q1	Q2	Q3	Q4	Final
Team	38.23	44.5	17.32	76.8	9.68	33.6	4.73	10.00	41.73	20.86	20.41	11.86	24.9	27.5	24.5	26.6	103.5
Opp	40.32	47.2	17.36	78.4	10.95	34.1	6.05	9.95	45.09	21.14	23.45	12.45	26.2	27.0	29.0	26.9	109.0

playoffs = 1 and series game >= 2 and p:margin <= -10 and D and season = 2017

Date	Day	Season	Team	Opp	Site	Final	Rest	Line	Total	Dps	Dpa	SUr	ATSr	OUr
Jun 06, 2018	Wed	2017	Cavaliers	Warriors	home	102-110	2&2	4.5	217	-4.25	-0.75	L	L	U
Jun 03, 2018	Sun	2017	Cavaliers	Warriors	away	103-122	2&2	12	217	0.5	7.5	L	L	O
May 28, 2018	Mon	2017	Rockets	Warriors	home	92-101	1&1	6	208	-9	-6	L	L	U
May 22, 2018	Tue	2017	Rockets	Warriors	away	95-92	1&1	8	225	-13.5	-24.5	W	W	U
May 21, 2018	Mon	2017	Celtics	Cavaliers	away	102-111	1&1	7	206	2.5	4.5	L	L	O
May 08, 2018	Tue	2017	Pelicans	Warriors	away	104-113	1&1	11.5	228	-4.25	-6.75	L	W	U
May 08, 2018	Tue	2017	Jazz	Rockets	away	102-112	1&1	11.5	210	2.75	1.25	L	W	O
May 06, 2018	Sun	2017	Jazz	Rockets	home	87-100	1&1	5.5	210	-15.25	-7.75	L	L	U
May 05, 2018	Sat	2017	Raptors	Cavaliers	away	103-105	1&1	4.5	215	-2.25	-4.75	L	W	U
May 02, 2018	Wed	2017	Jazz	Rockets	away	116-108	2&2	11	206	18.5	-0.5	W	W	O
May 01, 2018	Tue	2017	Pelicans	Warriors	away	116-121	2&2	10.5	229	6.75	1.25	L	W	O
Apr 27, 2018	Fri	2017	Wizards	Raptors	home	92-102	1&1	2	215	-14.5	-6.5	L	L	U
Apr 25, 2018	Wed	2017	Timberwolves	Rockets	away	104-122	1&1	12	216	2	8	L	L	O
Apr 23, 2018	Mon	2017	Thunder	Jazz	away	96-113	1&1	5.5	209	-5.75	5.75	L	L	P
Apr 22, 2018	Sun	2017	Spurs	Warriors	home	103-90	2&2	6	204	4	-15	W	W	U
Apr 22, 2018	Sun	2017	Celtics	Bucks	away	102-104	1&1	4.5	204	2.25	-0.25	L	W	O
Apr 21, 2018	Sat	2017	Timberwolves	Rockets	home	121-105	2&2	6	216	16	-6	W	W	O
Apr 21, 2018	Sat	2017	Trailblazers	Pelicans	away	123-131	1&1	7	217	18	19	L	L	O
Apr 21, 2018	Sat	2017	Heat	Seventysixers	home	102-106	1&1	3.5	214	-3.25	-2.75	L	L	U
Apr 19, 2018	Thu	2017	Spurs	Warriors	home	97-110	2&2	4	206	-4	5	L	L	O
Apr 16, 2018	Mon	2017	Spurs	Warriors	away	101-116	1&1	10	206	3	8	L	L	O
Apr 16, 2018	Mon	2017	Heat	Seventysixers	away	113-103	1&1	6.5	216	8.25	-8.25	W	W	P

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
· 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
· 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

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+
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.

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Query Fundamentals

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Queryable Fields

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