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 against
$ ROI Margin wins losses % link
1455 9.1 0.0 60 80 42.9 The Astros are 60-80-6 AGAINST since May 26, 2013 as a home dog.
1115 31.3 -0.9 10 22 31.2 The Astros are 10-22-1 AGAINST since Sep 07, 2020.
840 15.6 -0.3 18 28 39.1 The Astros are 18-28-3 AGAINST since Oct 31, 2017 as a dog.
590 46.6 -1.4 3 9 25.0 The Astros are 3-9 AGAINST since Sep 08, 2020 at home.
540 26.0 -0.6 6 12 33.3 The Astros are 6-12-1 AGAINST since Sep 09, 2020 on the road.
355 29.1 -1.1 3 7 30.0 The Astros are 3-7-1 AGAINST since Sep 09, 2020 as a road dog.
290 30.7 -1.3 3 6 33.3 The Astros are 3-6 AGAINST since Sep 08, 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).