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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
500 14.3 -0.2 12 18 40.0 The Rangers are 12-18-2 AGAINST since Sep 11, 2016 as a road favorite
500 87.7 -3.2 0 5 0.0 The Rangers are 0-5 AGAINST since May 17, 2019 as a dog
487 60.6 -1.6 1 6 14.3 The Rangers are 1-6 AGAINST since May 17, 2019
400 88.9 -3.4 0 4 0.0 The Rangers are 0-4 AGAINST since May 17, 2019 as a home dog
387 56.7 -1.5 1 5 16.7 The Rangers are 1-5 AGAINST since May 17, 2019 at home
237 19.1 -1.3 4 7 36.4 The Rangers are 4-7 AGAINST since Sep 03, 2018 as a home favorite
127 11.0 -0.4 4 6 40.0 The Rangers are 4-6 AGAINST since Apr 16, 2019 as a favorite
100 83.3 -2.5 0 1 0.0 The Rangers are 0-1 AGAINST since May 24, 2019 on the road
100 83.3 -2.5 0 1 0.0 The Rangers are 0-1 AGAINST since May 24, 2019 as a road dog
795 46.1 3.3 12 4 75.0 The Rangers are 12-4 ON since Apr 23, 2019 on the road
695 49.2 3.3 10 3 76.9 The Rangers are 10-3 ON since Apr 23, 2019 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).