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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
3537 11.5 0.6 163 136 54.5 The Nationals are 163-136-1 AGAINST since Jul 06, 2015 at home
2542 17.1 0.5 78 71 52.3 The Nationals are 78-71 AGAINST since Sep 09, 2017 as a favorite
2507 12.6 0.7 112 87 56.3 The Nationals are 112-87 AGAINST since Jul 02, 2016 as a home favorite
1289 19.5 -0.7 18 34 34.6 The Nationals are 18-34-1 AGAINST since Jun 07, 2012 as a home dog
1268 43.7 -0.2 11 18 37.9 The Nationals are 11-18 AGAINST since Jun 01, 2018 as a road favorite
1411 20.1 0.4 38 32 54.3 The Nationals are 38-32 ON since Sep 24, 2016 as a road dog
973 11.0 0.4 44 43 50.6 The Nationals are 44-43-1 ON since Sep 24, 2016 as a dog
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).