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
600 71.3 -2.0 0 6 0.0 The Mariners are 0-6 AGAINST since Apr 12, 2019 as a home dog
600 71.3 -2.0 0 6 0.0 The Mariners are 0-6 AGAINST since Apr 12, 2019 at home
5262 10.3 0.1 244 221 52.5 The Mariners are 244-221 ON since Jun 14, 2013 on the road
2175 23.6 0.3 50 42 54.3 The Mariners are 50-42 ON since May 28, 2017 as a road dog
780 53.9 3.0 9 1 90.0 The Mariners are 9-1 ON since Sep 28, 2018 as a favorite
500 78.5 4.0 5 0 100.0 The Mariners are 5-0 ON since Apr 06, 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).