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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
564 13.8 -0.1 13 20 39.4 The Angels are 13-20-4 AGAINST since May 20, 2018 as a home favorite
370 27.7 -2.2 3 7 30.0 The Angels are 3-7-2 AGAINST since Sep 09, 2018 as a favorite
350 22.0 -1.4 4 8 33.3 The Angels are 4-8-2 AGAINST since Aug 28, 2018 at home
180 31.9 -1.0 1 3 25.0 The Angels are 1-3-1 AGAINST since Sep 25, 2018
100 100.0 -7.5 0 1 0.0 The Angels are 0-1 AGAINST since Sep 09, 2018 as a road favorite
600 78.9 5.9 6 0 100.0 The Angels are 6-0-1 ON since Sep 18, 2018 as a dog
500 75.8 6.2 5 0 100.0 The Angels are 5-0-1 ON since Sep 18, 2018 on the road
500 75.8 6.2 5 0 100.0 The Angels are 5-0-1 ON since Sep 18, 2018 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).