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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
573 27.5 -1.0 6 12 33.3 The Athletics are 6-12-1 AGAINST since Jun 10, 2016 as a road favorite
390 45.1 -1.9 2 6 25.0 The Athletics are 2-6 AGAINST since Apr 21, 2018 at home
295 53.4 -0.6 1 4 20.0 The Athletics are 1-4 AGAINST since Apr 21, 2018 as a home dog
200 96.2 -6.2 0 2 0.0 The Athletics are 0-2 AGAINST since May 05, 2018 as a home favorite
100 83.3 -5.5 0 1 0.0 The Athletics are 0-1 AGAINST since May 18, 2018 as a dog
100 83.3 -5.5 0 1 0.0 The Athletics are 0-1 AGAINST since May 18, 2018 as a road dog
620 17.6 1.3 19 12 61.3 The Athletics are 19-12-1 ON since Aug 29, 2017 as a road dog
545 21.5 1.2 14 8 63.6 The Athletics are 14-8-1 ON since Apr 11, 2018 on the road

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).