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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 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
1030 35.7 -1.5 7 18 28.0 The Brewers are 7-18-1 AGAINST since Aug 19, 2018 as a dog
980 59.1 -1.5 2 12 14.3 The Brewers are 2-12-1 AGAINST since Sep 26, 2018 on the road
893 14.7 0.0 21 32 39.6 The Brewers are 21-32-2 AGAINST since Sep 07, 2018
780 42.0 -1.8 4 12 25.0 The Brewers are 4-12-1 AGAINST since Aug 19, 2018 as a road dog
280 47.9 -2.1 1 4 20.0 The Brewers are 1-4 AGAINST since Oct 20, 2018 as a home dog
180 40.7 1.2 1 3 25.0 The Brewers are 1-3 AGAINST since Apr 01, 2019 as a road favorite
180 38.7 -2.2 1 3 25.0 The Brewers are 1-3 AGAINST since Apr 18, 2019 at home
953 18.7 1.1 28 17 62.2 The Brewers are 28-17-1 ON since Jun 27, 2018 as a home 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).