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
1215 28.6 -0.8 12 25 32.4 The Cardinals are 12-25-2 AGAINST since Sep 22, 2017 as a road favorite
2881 3.6 0.8 373 315 54.2 The Cardinals are 373-315-32 ON since Jul 27, 2010 on the road
2520 5.8 1.1 205 164 55.6 The Cardinals are 205-164-21 ON since Jul 26, 2008 as a road dog
2112 10.6 1.2 98 70 58.3 The Cardinals are 98-70-11 ON since Jul 07, 2015 as a dog
1867 16.4 1.1 61 39 61.0 The Cardinals are 61-39-3 ON since Jun 30, 2018
975 58.0 2.2 12 2 85.7 The Cardinals are 12-2-1 ON since Sep 02, 2018 as a home favorite
955 18.2 0.9 29 18 61.7 The Cardinals are 29-18-1 ON since Jun 30, 2018 at home
860 47.9 2.0 12 3 80.0 The Cardinals are 12-3-1 ON since Sep 10, 2018 as a 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).