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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
847 33.0 -2.4 4 14 22.2 The Diamondbacks are 4-14 AGAINST since Sep 08, 2019 as a dog.
748 10.9 -1.2 16 30 34.8 The Diamondbacks are 16-30 AGAINST since May 05, 2019 as a road dog.
582 32.2 -1.9 4 10 28.6 The Diamondbacks are 4-10 AGAINST since Sep 08, 2019 on the road.
1809 24.7 0.3 40 33 54.8 The Diamondbacks are 40-33 ON since Sep 12, 2016 as a home dog.
1165 18.1 0.5 31 19 62.0 The Diamondbacks are 31-19 ON since Jun 23, 2019 at home.
791 29.6 0.8 14 4 77.8 The Diamondbacks are 14-4 ON since Aug 19, 2019 as a favorite.
616 28.1 0.7 11 3 78.6 The Diamondbacks are 11-3 ON since Aug 19, 2019 as a home 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).