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NBA Trends SDB Home    NBA Trends    NBA Query
Include trends from SDB's sample ats SDB's sample ou guest's web all active on filter on
Trends from SDB's sample ats,SDB's sample ats
p val wins losses % link
0.031250 0 5 0.0 The Timberwolves are 0-5 ATS (-7.70 ppg) since Feb 07, 2018
0.031250 0 5 0.0 The Timberwolves are 0-5 ATS (-9.00 ppg) since Jan 03, 2018 as a road favorite
0.032715 2 9 18.2 The Timberwolves are 2-9 ATS (-5.36 ppg) since Jan 03, 2018 on the road
0.032715 9 2 81.8 The Timberwolves are 9-2 ATS (5.27 ppg) since Jan 01, 2018 as a home favorite
0.046143 10 3 76.9 The Timberwolves are 10-3 ATS (4.88 ppg) since Dec 11, 2016 as a home dog
0.046143 10 3 76.9 The Timberwolves are 10-3 ATS (5.50 ppg) since Jan 01, 2018 at home
0.062500 0 4 0.0 The Timberwolves are 0-4 ATS (-6.00 ppg) since Feb 07, 2018 as a favorite
0.062500 1 6 14.3 The Timberwolves are 1-6 ATS (-5.50 ppg) since Dec 28, 2017 as a dog

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).