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
1230 11.9 0.4 34 49 41.0 The Phillies are 34-49-11 AGAINST since Jun 18, 2016 as a home dog
300 89.6 -3.2 0 3 0.0 The Phillies are 0-3 AGAINST since Sep 18, 2018 as a favorite
290 52.3 -1.9 1 4 20.0 The Phillies are 1-4 AGAINST since Sep 18, 2018 at home
200 85.1 -2.5 0 2 0.0 The Phillies are 0-2 AGAINST since Sep 18, 2018 as a home favorite
200 88.9 -4.5 0 2 0.0 The Phillies are 0-2 AGAINST since Sep 29, 2018
100 100.0 -4.5 0 1 0.0 The Phillies are 0-1 AGAINST since Sep 23, 2018 as a road favorite
100 90.9 -4.5 0 1 0.0 The Phillies are 0-1 AGAINST since Sep 30, 2018 as a dog
100 83.3 -3.0 0 1 0.0 The Phillies are 0-1 AGAINST since Sep 27, 2018 on the road
100 83.3 -3.0 0 1 0.0 The Phillies are 0-1 AGAINST since Sep 27, 2018 as a road dog
540 23.2 1.1 13 7 65.0 The Phillies are 13-7-1 ON since Aug 12, 2018 on the road
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).