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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
510 22.8 -0.5 7 13 35.0 The Angels are 7-13 AGAINST since Jun 10, 2019 as a home dog.
455 31.7 -1.2 4 9 30.8 The Angels are 4-9 AGAINST since Sep 01, 2019 at home.
385 56.0 -3.1 1 5 16.7 The Angels are 1-5 AGAINST since Aug 20, 2019 as a favorite.
200 89.7 -3.8 0 2 0.0 The Angels are 0-2 AGAINST since Aug 27, 2019 as a home favorite.
185 39.8 -2.8 1 3 25.0 The Angels are 1-3 AGAINST since Aug 20, 2019 as a road favorite.
185 28.5 -1.9 2 4 33.3 The Angels are 2-4 AGAINST since Sep 24, 2019.
185 28.5 -1.9 2 4 33.3 The Angels are 2-4 AGAINST since Sep 24, 2019 as a dog.
816 24.6 1.3 19 10 65.5 The Angels are 19-10-1 ON since May 26, 2019 as a home favorite.
646 13.7 0.6 25 17 59.5 The Angels are 25-17-1 ON since Jun 05, 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).