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
680 68.0 -3.1 1 8 11.1 The Yankees are 1-8 AGAINST since Aug 24, 2019 as a dog.
480 61.5 -3.3 1 6 14.3 The Yankees are 1-6 AGAINST since Aug 24, 2019 as a road dog.
430 22.8 -1.0 6 11 35.3 The Yankees are 6-11 AGAINST since Aug 30, 2019 at home.
280 50.5 -2.0 1 4 20.0 The Yankees are 1-4 AGAINST since Sep 29, 2019 on the road.
265 34.0 -1.4 2 5 28.6 The Yankees are 2-5 AGAINST since Oct 07, 2019.
200 90.9 -2.5 0 2 0.0 The Yankees are 0-2 AGAINST since Oct 15, 2019 as a home dog.
200 93.0 -3.2 0 2 0.0 The Yankees are 0-2 AGAINST since Sep 29, 2019 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).