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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
790 24.8 -0.5 10 19 34.5 The Padres are 10-19 AGAINST since Aug 19, 2018 at home
665 39.8 -1.1 4 11 26.7 The Padres are 4-11 AGAINST since Mar 28, 2019 as a favorite
635 21.5 -0.5 10 17 37.0 The Padres are 10-17 AGAINST since Sep 26, 2018
565 42.4 -0.8 3 9 25.0 The Padres are 3-9 AGAINST since Mar 28, 2019 as a home favorite
438 21.4 -0.3 7 12 36.8 The Padres are 7-12 AGAINST since Jul 31, 2018 as a home dog
280 30.4 -2.1 2 5 28.6 The Padres are 2-5-1 AGAINST since Jun 25, 2016 as a road favorite
100 95.2 -1.0 0 1 0.0 The Padres are 0-1 AGAINST since Apr 20, 2019 as a dog
100 30.3 -1.0 1 2 33.3 The Padres are 1-2 AGAINST since Apr 12, 2019 on the road
678 17.4 1.1 21 13 61.8 The Padres are 21-13-1 ON since Jul 24, 2018 as a road dog
578 13.7 0.8 22 15 59.5 The Padres are 22-15-1 ON since Jul 24, 2018 on the road

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).