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
4952 10.3 -0.1 177 244 42.0 The Rockies are 177-244-16 AGAINST since Jun 29, 2016
4940 5.4 -0.0 346 432 44.5 The Rockies are 346-432-39 AGAINST since Apr 22, 2009 on the road
3983 20.0 -0.7 63 110 36.4 The Rockies are 63-110-6 AGAINST since Sep 17, 2016 as a favorite
3089 18.3 -0.4 53 90 37.1 The Rockies are 53-90-9 AGAINST since Jul 18, 2009 as a road favorite
1796 6.8 0.2 102 129 44.2 The Rockies are 102-129-9 AGAINST since May 07, 2016 as a dog
1070 50.7 -1.6 3 14 17.6 The Rockies are 3-14-2 AGAINST since Aug 18, 2018 as a road dog
400 94.1 -3.4 0 4 0.0 The Rockies are 0-4 AGAINST since Apr 09, 2019 as a home favorite
295 55.7 -2.2 1 4 20.0 The Rockies are 1-4 AGAINST since Apr 09, 2019 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).