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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 guest's web all active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
1307 23.7 -0.8 16 31 34.0 The Rays are 16-31-2 AGAINST since Jul 21, 2017 as a home dog
1090 31.4 -0.5 9 21 30.0 The Rays are 9-21-1 AGAINST since May 20, 2018 as a road dog
443 30.9 -1.1 4 9 30.8 The Rays are 4-9 AGAINST since Mar 28, 2019 at home
280 50.5 -1.6 1 4 20.0 The Rays are 1-4 AGAINST since Mar 28, 2019 as a dog
163 18.5 -0.8 3 5 37.5 The Rays are 3-5 AGAINST since Apr 01, 2019 as a home favorite
100 100.0 -0.5 0 1 0.0 The Rays are 0-1 AGAINST since Apr 21, 2019 as a favorite
100 100.0 -0.5 0 1 0.0 The Rays are 0-1 AGAINST since Apr 21, 2019
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).