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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
1245 15.1 -0.2 29 43 40.3 The Brewers are 29-43-3 AGAINST since Jul 08, 2016 as a home dog
200 88.9 -3.5 0 2 0.0 The Brewers are 0-2 AGAINST since Aug 19, 2018
175 16.1 -1.0 4 6 40.0 The Brewers are 4-6 AGAINST since Jun 02, 2018 as a road favorite
100 83.3 -2.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 20, 2018 as a favorite
100 83.3 -2.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 20, 2018 as a home favorite
100 83.3 -2.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 20, 2018 at home
100 95.2 -5.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 19, 2018 as a dog
100 95.2 -5.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 19, 2018 on the road
100 95.2 -5.0 0 1 0.0 The Brewers are 0-1 AGAINST since Aug 19, 2018 as a road dog
1016 18.6 0.9 30 18 62.5 The Brewers are 30-18-1 ON since Jun 27, 2018
623 26.5 0.9 14 7 66.7 The Brewers are 14-7 ON since Jun 27, 2018 as a 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).