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
3857 7.9 -1.0 108 194 35.8 The Blue Jays are 108-194 AGAINST since Jun 17, 2014 as a road dog.
642 43.1 -3.5 2 8 20.0 The Blue Jays are 2-8 AGAINST since Sep 05, 2020 on the road.
517 11.6 -2.3 9 19 32.1 The Blue Jays are 9-19 AGAINST since Jul 29, 2020 as a dog.
1241 18.5 0.3 32 24 57.1 The Blue Jays are 32-24 ON since Aug 09, 2019 at home.
1040 34.7 -0.4 16 14 53.3 The Blue Jays are 16-14 ON since Aug 09, 2019 as a home dog.
861 19.3 1.2 22 10 68.8 The Blue Jays are 22-10 ON since Sep 17, 2019 as a favorite.
625 24.0 2.5 14 6 70.0 The Blue Jays are 14-6 ON since Jun 12, 2019 as a road favorite.
570 30.3 2.5 10 3 76.9 The Blue Jays are 10-3 ON since Aug 26, 2020 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).