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
880 21.7 -0.2 12 22 35.3 The Astros are 12-22-3 AGAINST since Sep 03, 2014 as a home dog.
425 17.3 -0.5 8 13 38.1 The Astros are 8-13-1 AGAINST since Oct 31, 2017 as a dog.
200 93.0 -1.5 0 2 0.0 The Astros are 0-2 AGAINST since Jul 18, 2019.
200 93.0 -1.5 0 2 0.0 The Astros are 0-2 AGAINST since Jul 18, 2019 as a favorite.
195 36.1 0.8 1 3 25.0 The Astros are 1-3-1 AGAINST since Jun 30, 2019 at home.
195 36.1 0.8 1 3 25.0 The Astros are 1-3-1 AGAINST since Jun 30, 2019 as a home favorite.
100 90.9 -2.0 0 1 0.0 The Astros are 0-1 AGAINST since Jul 18, 2019 on the road.
100 90.9 -2.0 0 1 0.0 The Astros are 0-1 AGAINST since Jul 18, 2019 as a road 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).