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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
0.001953 9 0 100.0 The Heat are 9-0 ATS (15.28 ppg) as a dog - since Jan 17, 2017.
0.002611 23 7 76.7 The Heat are 23-7-1 ATS (5.87 ppg) - since Jan 17, 2017.
0.002987 26 9 74.3 The Heat are 26-9 ATS (4.76 ppg) as a home favorite - since Mar 25, 2016.
0.009605 15 4 78.9 The Heat are 15-4 ATS (6.11 ppg) at home - since Jan 17, 2017.
0.015625 6 0 100.0 The Heat are 6-0 ATS (15.83 ppg) as a road dog - since Jan 27, 2017.

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
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Content for this site is generated using the Sports Data Query Language (SDQL).