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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
1210 10.3 -0.1 45 61 42.5 The Royals are 45-61-1 AGAINST since Oct 02, 2016 at home
1185 15.8 0.4 26 40 39.4 The Royals are 26-40-2 AGAINST since Sep 12, 2017
1047 9.5 -0.0 42 56 42.9 The Royals are 42-56-3 AGAINST since Apr 08, 2016 as a home favorite
600 69.8 -1.6 1 7 12.5 The Royals are 1-7 AGAINST since Apr 28, 2018 as a favorite
340 27.5 -0.4 3 7 30.0 The Royals are 3-7-1 AGAINST since Apr 11, 2018 as a home dog
300 84.5 -2.0 0 3 0.0 The Royals are 0-3 AGAINST since May 21, 2018 on the road
300 84.5 -2.0 0 3 0.0 The Royals are 0-3 AGAINST since May 21, 2018 as a road dog
300 84.5 -2.0 0 3 0.0 The Royals are 0-3 AGAINST since May 21, 2018 as a dog
200 85.1 -1.8 0 2 0.0 The Royals are 0-2 AGAINST since Sep 24, 2017 as a road favorite
1593 20.6 1.5 42 24 63.6 The Royals are 42-24-5 ON since Aug 17, 2014 as a road favorite

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).