Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
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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 against
$ ROI Margin wins losses % link
807 28.0 -1.3 8 17 32.0 The Blue Jays are 8-17-1 AGAINST since Jul 12, 2019 as a road dog.
362 29.6 0.5 3 7 30.0 The Blue Jays are 3-7-1 AGAINST since Jul 05, 2019 as a home favorite.
190 40.4 -2.4 1 3 25.0 The Blue Jays are 1-3 AGAINST since Sep 25, 2019.
190 40.4 -2.4 1 3 25.0 The Blue Jays are 1-3 AGAINST since Sep 25, 2019 at home.
175 26.1 -1.0 2 4 33.3 The Blue Jays are 2-4 AGAINST since Sep 20, 2019 as a dog.
155 12.3 -0.9 4 6 40.0 The Blue Jays are 4-6-1 AGAINST since Aug 31, 2019 as a home dog.
100 83.3 -5.5 0 1 0.0 The Blue Jays are 0-1 AGAINST since Sep 25, 2019 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).