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MLB Trends SDB Home    MLB Trends    MLB Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on SDB's sample su guest's web all active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1440 23.9 -0.5 18 34 34.6 The Padres are 18-34-2 AGAINST since Apr 05, 2018 as a dog
1245 33.7 -1.0 9 22 29.0 The Padres are 9-22-2 AGAINST since Apr 06, 2018 as a road dog
1210 29.1 -1.0 11 24 31.4 The Padres are 11-24-2 AGAINST since Sep 29, 2017 on the road
570 48.9 -2.2 2 8 20.0 The Padres are 2-8 AGAINST since Jun 06, 2018
265 26.3 -0.7 3 6 33.3 The Padres are 3-6 AGAINST since May 08, 2018 as a home dog
180 31.0 -1.8 1 3 25.0 The Padres are 1-3-1 AGAINST since Jun 25, 2016 as a road favorite
100 83.3 -3.5 0 1 0.0 The Padres are 0-1 AGAINST since Jun 06, 2018 at home
800 18.1 0.6 24 15 61.5 The Padres are 24-15-1 ON since Aug 05, 2016 as a home favorite
800 72.1 2.9 9 1 90.0 The Padres are 9-1 ON since Apr 14, 2018 as a favorite
788 19.0 1.4 23 14 62.2 The Padres are 23-14-1 ON since Mar 30, 2018 at home

Trend Parameters: active, english, invested, losses, margin, profit, pushes, 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).