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
3455 7.6 -0.9 101 180 35.9 The Blue Jays are 101-180 AGAINST since Jun 17, 2014 as a road dog.
708 18.6 -2.3 5 13 27.8 The Blue Jays are 5-13 AGAINST since Aug 20, 2019 on the road.
675 25.0 -0.1 12 15 44.4 The Blue Jays are 12-15 AGAINST since Mar 31, 2019 as a home favorite.
1060 52.6 -0.2 12 6 66.7 The Blue Jays are 12-6 ON since Sep 10, 2019.
1015 56.4 0.3 11 7 61.1 The Blue Jays are 11-7 ON since Aug 09, 2019 as a home dog.
855 28.8 0.3 15 11 57.7 The Blue Jays are 15-11 ON since Aug 09, 2019 at home.
670 55.8 -0.5 7 5 58.3 The Blue Jays are 7-5 ON since Sep 10, 2019 as a 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).