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
2195 20.1 -0.8 35 60 36.8 The Indians are 35-60-4 AGAINST since May 18, 2015 as a road dog.
660 31.3 -0.6 6 13 31.6 The Indians are 6-13 AGAINST since Aug 23, 2018 as a dog.
595 15.4 0.0 13 20 39.4 The Indians are 13-20-2 AGAINST since May 07, 2019 at home.
415 13.0 -0.1 11 16 40.7 The Indians are 11-16-2 AGAINST since May 07, 2019 as a home favorite.
280 35.6 -0.0 2 5 28.6 The Indians are 2-5 AGAINST since Sep 23, 2018 as a home dog.
178 20.2 0.4 3 5 37.5 The Indians are 3-5 AGAINST since Jul 12, 2019 as a favorite.
178 20.2 0.4 3 5 37.5 The Indians are 3-5 AGAINST since Jul 12, 2019.
1114 18.6 2.2 34 21 61.8 The Indians are 34-21 ON since Aug 07, 2013 as a home 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).