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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 against
$ ROI Margin wins losses % link
875 21.8 -0.3 12 22 35.3 The Padres are 12-22-2 AGAINST since Apr 05, 2018 as a dog
650 27.5 -0.9 6 13 31.6 The Padres are 6-13-2 AGAINST since Sep 29, 2017 on the road
565 28.1 -0.9 5 11 31.2 The Padres are 5-11-2 AGAINST since Apr 06, 2018 as a road dog
405 13.5 -0.0 10 15 40.0 The Padres are 10-15-2 AGAINST since Apr 20, 2018
380 56.5 -1.9 1 5 16.7 The Padres are 1-5 AGAINST since May 08, 2018 as a home dog
365 40.2 -1.5 2 6 25.0 The Padres are 2-6 AGAINST since May 08, 2018 at home
300 65.2 -2.5 0 3 0.0 The Padres are 0-3-1 AGAINST since Jun 25, 2016 as a road favorite
270 22.0 -1.8 4 7 36.4 The Padres are 4-7 AGAINST since Aug 16, 2017 as a favorite
170 15.3 -1.6 4 6 40.0 The Padres are 4-6 AGAINST since Aug 16, 2017 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).