Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


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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
600 69.8 -2.9 1 7 12.5 The Marlins are 1-7 AGAINST since Sep 29, 2018 as a road dog
600 69.8 -2.9 1 7 12.5 The Marlins are 1-7 AGAINST since Sep 29, 2018 on the road
470 28.9 -1.0 5 10 33.3 The Marlins are 5-10 AGAINST since Apr 05, 2019 as a dog
470 28.9 -1.0 5 10 33.3 The Marlins are 5-10 AGAINST since Apr 05, 2019
300 85.7 -4.2 0 3 0.0 The Marlins are 0-3 AGAINST since May 01, 2018 as a favorite
300 85.7 -4.2 0 3 0.0 The Marlins are 0-3 AGAINST since May 01, 2018 as a home favorite
295 53.6 -1.2 1 4 20.0 The Marlins are 1-4 AGAINST since Apr 16, 2019 as a home dog
295 53.6 -1.2 1 4 20.0 The Marlins are 1-4 AGAINST since Apr 16, 2019 at home
2781 11.4 0.9 125 89 58.4 The Marlins are 125-89-6 ON since Aug 05, 2004 as a road 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).