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
5518 8.8 -0.1 233 310 42.9 The Brewers are 233-310-25 AGAINST since Jun 03, 2010 as a road dog.
5498 14.0 -0.2 138 204 40.4 The Brewers are 138-204-14 AGAINST since May 11, 2016 as a dog.
4796 8.9 -0.0 204 269 43.1 The Brewers are 204-269-17 AGAINST since Jun 18, 2017.
3292 10.1 -0.1 122 165 42.5 The Brewers are 122-165-10 AGAINST since Sep 09, 2016 on the road.
690 63.9 -1.2 1 8 11.1 The Brewers are 1-8-1 AGAINST since Sep 14, 2020 as a favorite.
390 50.6 -0.7 1 5 16.7 The Brewers are 1-5-1 AGAINST since Sep 14, 2020 as a home favorite.
300 96.8 -2.3 0 3 0.0 The Brewers are 0-3 AGAINST since Sep 24, 2020 as a road favorite.
255 19.4 0.3 4 7 36.4 The Brewers are 4-7-1 AGAINST since Sep 11, 2020 at home.
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).