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
260 18.5 -0.7 5 8 38.5 The Blue Jays are 5-8 AGAINST since Aug 26, 2020 as a home favorite.
190 43.4 -1.4 1 3 25.0 The Blue Jays are 1-3 AGAINST since Sep 19, 2020 on the road.
100 97.1 -4.5 0 1 0.0 The Blue Jays are 0-1 AGAINST since Sep 19, 2020 as a road favorite.
835 36.5 3.5 14 5 73.7 The Blue Jays are 14-5-1 ON since Aug 16, 2020 as a dog.
698 25.7 2.9 16 8 66.7 The Blue Jays are 16-8 ON since Sep 05, 2020.
545 25.6 1.6 12 6 66.7 The Blue Jays are 12-6-1 ON since Sep 12, 2019 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).