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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
858 16.7 -1.0 16 26 38.1 The Tigers are 16-26-4 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
435 18.8 -0.8 6 11 35.3 The Tigers are 6-11-4 AGAINST since Apr 01, 2018 as a favorite
165 18.4 -0.7 2 4 33.3 The Tigers are 2-4-2 AGAINST since Jul 08, 2018 as a home favorite
145 10.6 -0.0 4 6 40.0 The Tigers are 4-6-2 AGAINST since Sep 07, 2018 as a dog
100 83.3 -2.0 0 1 0.0 The Tigers are 0-1 AGAINST since Sep 21, 2018
693 40.6 2.5 11 4 73.3 The Tigers are 11-4-1 ON since Aug 16, 2018 on the road
693 40.6 2.5 11 4 73.3 The Tigers are 11-4-1 ON since Aug 16, 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).