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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 ou,SDB's sample ou
p val wins losses % link
0.003305 19 5 79.2 The Spurs are 19-5-1 OU (8.68 ppg) since Feb 25, 2015 as a dog
0.003769 15 3 83.3 The Spurs are 15-3 OU (8.36 ppg) since Apr 10, 2017
0.007813 7 0 100.0 The Spurs are 7-0 OU (14.00 ppg) since Apr 20, 2017 as a favorite
0.013302 16 5 76.2 The Spurs are 16-5-1 OU (5.91 ppg) since Feb 25, 2015 as a road dog
0.015625 6 0 100.0 The Spurs are 6-0 OU (14.08 ppg) since Apr 25, 2017 at home
0.031250 5 0 100.0 The Spurs are 5-0 OU (24.50 ppg) since Mar 26, 2010 as a home dog
0.032715 9 2 81.8 The Spurs are 9-2 OU (6.91 ppg) since Apr 07, 2017 on the road
0.062500 4 0 100.0 The Spurs are 4-0 OU (11.12 ppg) since Apr 25, 2017 as a home favorite
0.062500 4 0 100.0 The Spurs are 4-0 OU (14.25 ppg) since Apr 10, 2017 as a road favorite

Trend Parameters: active, english, invested, 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
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Content for this site is generated using the Sports Data Query Language (SDQL).