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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 ou,SDB's sample ou
p val wins losses % link
0.001300 19 4 82.6 The Bucks are 19-4-1 OU (7.90 ppg) since Mar 09, 2018
0.011230 11 2 84.6 The Bucks are 11-2-1 OU (10.54 ppg) since Mar 12, 2018 on the road
0.011230 11 2 84.6 The Bucks are 11-2-1 OU (8.68 ppg) since Mar 09, 2018 as a favorite
0.031250 5 0 100.0 The Bucks are 5-0-1 OU (15.00 ppg) since Feb 10, 2018 as a road favorite
0.054688 8 2 80.0 The Bucks are 8-2 OU (6.80 ppg) since Mar 19, 2018 as a dog
0.054688 8 2 80.0 The Bucks are 8-2 OU (4.20 ppg) since Mar 09, 2018 at home
0.062500 6 1 85.7 The Bucks are 6-1 OU (10.21 ppg) since Mar 29, 2018 as a road dog
0.089844 7 2 77.8 The Bucks are 7-2 OU (4.28 ppg) since Mar 09, 2018 as a home 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).