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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
1237 10.7 -0.1 43 59 42.2 The Royals are 43-59-3 AGAINST since Apr 08, 2016 as a home favorite
690 49.5 -1.6 3 10 23.1 The Royals are 3-10 AGAINST since Apr 28, 2018 as a favorite
373 28.0 -1.2 3 7 30.0 The Royals are 3-7-2 AGAINST since Jul 21, 2018 as a home dog
263 18.2 -1.0 4 7 36.4 The Royals are 4-7-2 AGAINST since Jul 21, 2018 at home
100 29.9 -1.0 1 2 33.3 The Royals are 1-2 AGAINST since Sep 24, 2017 as a road favorite
1693 21.6 1.5 43 24 64.2 The Royals are 43-24-5 ON since Aug 17, 2014 as a road favorite
500 88.5 2.0 5 0 100.0 The Royals are 5-0 ON since Aug 01, 2018 on the road
500 88.5 2.0 5 0 100.0 The Royals are 5-0 ON since Aug 01, 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).