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
400 51.3 -2.4 1 5 16.7 The Indians are 1-5-1 AGAINST since May 20, 2018 as a road dog
285 20.2 -0.9 5 8 38.5 The Indians are 5-8 AGAINST since Oct 06, 2018 on the road
200 90.9 -4.5 0 2 0.0 The Indians are 0-2 AGAINST since Apr 16, 2019 as a road favorite
200 43.5 -1.5 1 3 25.0 The Indians are 1-3 AGAINST since Aug 23, 2018 as a dog
100 83.3 -2.5 0 1 0.0 The Indians are 0-1 AGAINST since Sep 23, 2018 as a home dog
1348 25.2 2.4 32 17 65.3 The Indians are 32-17 ON since Aug 07, 2013 as a home dog
580 45.3 2.2 9 3 75.0 The Indians are 9-3 ON since Sep 21, 2018 as a home 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).