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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
200 93.0 -1.8 0 2 0.0 The Giants are 0-2 AGAINST since Apr 12, 2018 as a road favorite
100 85.5 -1.5 0 1 0.0 The Giants are 0-1 AGAINST since May 18, 2018 as a favorite
100 85.5 -1.5 0 1 0.0 The Giants are 0-1 AGAINST since May 18, 2018 as a home favorite
100 100.0 -3.5 0 1 0.0 The Giants are 0-1 AGAINST since May 13, 2018 on the road
100 100.0 -3.5 0 1 0.0 The Giants are 0-1 AGAINST since May 13, 2018 as a road dog
1680 11.4 1.5 75 53 58.6 The Giants are 75-53-5 ON since Aug 27, 2015 as a home favorite
1110 17.4 1.7 31 18 63.3 The Giants are 31-18-8 ON since May 14, 2017 as a favorite
852 31.2 2.6 16 7 69.6 The Giants are 16-7-2 ON since Apr 25, 2018
847 31.0 2.2 16 7 69.6 The Giants are 16-7-2 ON since Oct 01, 2017 at home

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).