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
1967 16.5 -1.0 36 59 37.9 The Padres are 36-59 AGAINST since Sep 24, 2017 at home
1045 47.5 -1.5 7 15 31.8 The Padres are 7-15 AGAINST since Jun 19, 2018 as a home favorite
955 38.2 -1.4 9 16 36.0 The Padres are 9-16 AGAINST since Jun 19, 2018 as a favorite
590 79.2 -2.6 1 6 14.3 The Padres are 1-6 AGAINST since Apr 14, 2019
1445 29.4 -0.4 27 22 55.1 The Padres are 27-22 ON since Aug 05, 2018 as a dog
1234 9.1 -1.3 59 76 43.7 The Padres are 59-76 ON since Jun 21, 2017 on the road
1100 26.8 -0.7 21 20 51.2 The Padres are 21-20 ON since Jul 08, 2018 as a road 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).