Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
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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
5057 13.9 -0.2 128 189 40.4 The Brewers are 128-189-13 AGAINST since May 11, 2016 as a dog.
4740 7.8 -0.1 228 297 43.4 The Brewers are 228-297-24 AGAINST since Jun 03, 2010 as a road dog.
2093 9.7 0.2 80 109 42.3 The Brewers are 80-109-6 AGAINST since Sep 07, 2018.
1865 18.4 -0.3 34 55 38.2 The Brewers are 34-55-3 AGAINST since Jul 08, 2016 as a home dog.
948 21.1 -0.9 14 25 35.9 The Brewers are 14-25-2 AGAINST since Jun 26, 2019 at home.
590 16.7 -0.0 12 19 38.7 The Brewers are 12-19-1 AGAINST since Jul 30, 2019 on the road.
412 17.0 -1.1 8 13 38.1 The Brewers are 8-13-1 AGAINST since Jul 24, 2019 as a home favorite.
370 28.0 -1.9 4 8 33.3 The Brewers are 4-8 AGAINST since Sep 12, 2019 as a favorite.
200 87.0 -6.5 0 2 0.0 The Brewers are 0-2 AGAINST since Sep 28, 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).