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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
913 25.4 -1.4 10 20 33.3 The Tigers are 10-20-2 AGAINST since Jun 04, 2018 as a home dog
848 15.8 -1.0 17 27 38.6 The Tigers are 17-27-4 AGAINST since Jun 04, 2018 at home
625 22.0 -1.3 9 16 36.0 The Tigers are 9-16-1 AGAINST since Sep 06, 2016 as a road favorite
425 16.8 -0.9 7 12 36.8 The Tigers are 7-12-4 AGAINST since Apr 01, 2018 as a favorite
155 13.9 -0.8 3 5 37.5 The Tigers are 3-5-2 AGAINST since Jul 08, 2018 as a home favorite
1093 46.9 2.4 16 5 76.2 The Tigers are 16-5-1 ON since Aug 16, 2018 on the road
1093 46.9 2.4 16 5 76.2 The Tigers are 16-5-1 ON since Aug 16, 2018 as a road dog
941 20.1 1.2 25 15 62.5 The Tigers are 25-15-4 ON since Aug 13, 2018
851 22.9 1.2 21 12 63.6 The Tigers are 21-12-2 ON since Aug 15, 2018 as a 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).