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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
295 51.8 -2.3 1 4 20.0 The Angels are 1-4 AGAINST since Aug 20, 2019.
295 51.8 -2.3 1 4 20.0 The Angels are 1-4 AGAINST since Aug 20, 2019 on the road.
200 87.0 -6.2 0 2 0.0 The Angels are 0-2 AGAINST since Aug 20, 2019 as a favorite.
200 87.0 -6.2 0 2 0.0 The Angels are 0-2 AGAINST since Aug 20, 2019 as a road favorite.
200 85.1 -1.8 0 2 0.0 The Angels are 0-2 AGAINST since Aug 23, 2019 as a dog.
200 85.1 -1.8 0 2 0.0 The Angels are 0-2 AGAINST since Aug 23, 2019 as a road dog.
170 24.6 0.6 2 4 33.3 The Angels are 2-4 AGAINST since Jun 10, 2019 as a home dog.
1066 8.7 1.0 60 45 57.1 The Angels are 60-45-6 ON since Apr 20, 2019.
1033 33.3 1.6 19 8 70.4 The Angels are 19-8-1 ON since May 26, 2019 as a home favorite.
863 20.1 0.9 24 14 63.2 The Angels are 24-14-1 ON since Jun 05, 2019 as a favorite.
855 35.4 1.8 15 6 71.4 The Angels are 15-6-1 ON since Jun 30, 2019 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).