Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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
695 39.6 -0.8 4 11 26.7 The Yankees are 4-11-1 AGAINST since Oct 09, 2018 at home
695 39.6 -0.8 4 11 26.7 The Yankees are 4-11-1 AGAINST since Oct 09, 2018 as a home favorite
400 46.0 -0.5 2 6 25.0 The Yankees are 2-6 AGAINST since Apr 13, 2019
400 46.0 -0.5 2 6 25.0 The Yankees are 2-6 AGAINST since Apr 13, 2019 as a favorite
230 12.5 -0.7 7 10 41.2 The Yankees are 7-10 AGAINST since Sep 13, 2016 as a home dog
980 64.1 3.5 12 2 85.7 The Yankees are 12-2 ON since Sep 25, 2018 on the road
600 70.0 4.5 7 1 87.5 The Yankees are 7-1 ON since Sep 25, 2018 as a road favorite
575 40.1 1.8 9 3 75.0 The Yankees are 9-3-1 ON since May 29, 2018 as a dog
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).