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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
4749 13.4 175 179 49.4 The Rays are 175-179 AGAINST since Jul 31, 2013 as a favorite
4129 8.5 263 225 53.9 The Rays are 263-225 AGAINST since Apr 30, 2010 as a home favorite
1544 28.5 21 33 38.9 The Rays are 21-33 AGAINST since Jul 08, 2015 as a road favorite
1120 30.4 9 20 31.0 The Rays are 9-20 AGAINST since Jul 19, 2017
1041 19.0 22 28 44.0 The Rays are 22-28 AGAINST since Apr 23, 2017 at home
874 15.3 29 28 50.9 The Rays are 29-28 ON since Sep 11, 2016 as a road dog

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).