Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at http://s3.sportsdatabase.com.

Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


name
password


NBA Trends SDB Home    NBA Trends    NBA Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su guest's web all active on filter on
Trends from SDB's sample su,SDB's sample su
p val wins losses % link
0.000000 66 204 24.4 The Pelicans are 66-204 ATS (-8.00 ppg) since Feb 21, 2004 as a road dog off a home game.
0.000000 106 239 30.7 The Pelicans are 106-239 ATS (-6.00 ppg) since Apr 06, 1998 as a road dog off a road game.
0.000000 64 167 27.7 The Pelicans are 64-167 ATS (-7.00 ppg) since Feb 21, 2004 as a road dog off a win.
0.000000 39 120 24.5 The Pelicans are 39-120 ATS (-8.00 ppg) since Dec 29, 2003 as a road dog after playing as a home favorite.
0.000009 14 48 22.6 The Pelicans are 14-48 ATS (-10.00 ppg) since Mar 30, 2004 as a road dog after playing as a home favorite off a loss.
0.000095 30 7 81.1 The Pelicans are 30-7 ATS (8.00 ppg) since Jan 05, 2001 as a favorite after playing as a road favorite off a loss.
0.000254 28 7 80.0 The Pelicans are 28-7 ATS (7.00 ppg) since Nov 11, 1995 as a home favorite after playing as a road favorite off a loss.
0.000318 20 49 29.0 The Pelicans are 20-49 ATS (-8.00 ppg) since Jan 23, 2005 as a dog after playing as a home dog off a win.
0.000977 10 0 100.0 The Pelicans are 10-0 ATS (15.00 ppg) since Nov 02, 2013 at home after playing as a road favorite off a loss.
0.001175 2 15 11.8 The Pelicans are 2-15 ATS (-11.00 ppg) since Jan 03, 2020 as a road dog off a game as a favorite.

Trend Parameters: active, english, losses, margin, pushes, pval, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).