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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
722 35.1 -1.0 5 13 27.8 The Mets are 5-13 AGAINST since Sep 13, 2018
710 20.7 -0.2 10 18 35.7 The Mets are 10-18-3 AGAINST since Jun 09, 2017 as a road favorite
480 47.9 -2.2 2 7 22.2 The Mets are 2-7 AGAINST since Sep 13, 2018 as a favorite
422 24.6 0.1 5 10 33.3 The Mets are 5-10 AGAINST since Sep 01, 2018 on the road
380 42.1 -2.1 2 6 25.0 The Mets are 2-6 AGAINST since Sep 13, 2018 at home
367 35.2 -2.4 2 6 25.0 The Mets are 2-6-1 AGAINST since Jul 15, 2018 as a home dog
280 35.8 -2.0 2 5 28.6 The Mets are 2-5 AGAINST since Sep 13, 2018 as a home favorite
242 23.0 0.2 3 6 33.3 The Mets are 3-6 AGAINST since Sep 14, 2018 as a dog
142 15.2 0.6 3 5 37.5 The Mets are 3-5 AGAINST since Sep 14, 2018 as a road 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).