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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
585 57.9 -3.0 1 7 12.5 The Pirates are 1-7 AGAINST since Aug 01, 2018 as a home dog
2129 20.1 0.5 54 38 58.7 The Pirates are 54-38 ON since Jul 08, 2018
1831 11.4 0.7 74 44 62.7 The Pirates are 74-44 ON since Jun 11, 2017 as a favorite
1408 32.9 1.1 23 7 76.7 The Pirates are 23-7 ON since Jul 08, 2018 as a home favorite
1173 20.2 0.4 29 16 64.4 The Pirates are 29-16 ON since Jul 08, 2018 at home
986 16.9 0.3 30 27 52.6 The Pirates are 30-27 ON since Jun 13, 2018 on the road
878 15.1 0.8 29 17 63.0 The Pirates are 29-17 ON since Aug 25, 2016 as a road favorite
812 19.8 0.4 21 20 51.2 The Pirates are 21-20 ON since Jul 21, 2018 as a road dog
695 36.6 0.1 11 8 57.9 The Pirates are 11-8 ON since Sep 15, 2018 as a 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).