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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
877 24.8 -0.4 9 19 32.1 The Dodgers are 9-19-4 AGAINST since Aug 05, 2018 at home
877 24.8 -0.4 9 19 32.1 The Dodgers are 9-19-4 AGAINST since Aug 05, 2018 as a home favorite
375 37.7 -0.7 2 6 25.0 The Dodgers are 2-6-1 AGAINST since Oct 13, 2018 as a favorite
355 29.1 -0.4 3 7 30.0 The Dodgers are 3-7-1 AGAINST since Oct 13, 2018
200 93.0 -3.8 0 2 0.0 The Dodgers are 0-2 AGAINST since Apr 21, 2018 as a home dog
100 83.3 -1.5 0 1 0.0 The Dodgers are 0-1 AGAINST since Oct 20, 2018 as a road favorite
100 93.5 -2.5 0 1 0.0 The Dodgers are 0-1 AGAINST since Oct 24, 2018 on the road
100 93.5 -2.5 0 1 0.0 The Dodgers are 0-1 AGAINST since Oct 24, 2018 as a road dog
100 93.5 -2.5 0 1 0.0 The Dodgers are 0-1 AGAINST since Oct 24, 2018 as a dog
565 33.8 1.3 10 4 71.4 The Dodgers are 10-4-1 ON since Sep 01, 2014 as a home 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).