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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 SDB's sample su 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
180 26.5 -1.7 2 4 33.3 The Mariners are 2-4 AGAINST since Apr 24, 2018 as a road favorite
173 26.5 -2.1 2 4 33.3 The Mariners are 2-4 AGAINST since May 03, 2018 as a dog
160 17.6 -1.9 3 5 37.5 The Mariners are 3-5 AGAINST since Apr 15, 2018 as a home dog
100 95.2 -8.5 0 1 0.0 The Mariners are 0-1 AGAINST since May 14, 2018 on the road
100 95.2 -8.5 0 1 0.0 The Mariners are 0-1 AGAINST since May 14, 2018 as a road dog
100 87.0 -3.0 0 1 0.0 The Mariners are 0-1 AGAINST since May 20, 2018
100 87.0 -3.0 0 1 0.0 The Mariners are 0-1 AGAINST since May 20, 2018 as a favorite
100 87.0 -3.0 0 1 0.0 The Mariners are 0-1 AGAINST since May 20, 2018 at home
100 87.0 -3.0 0 1 0.0 The Mariners are 0-1 AGAINST since May 20, 2018 as a home favorite
945 36.4 1.3 17 7 70.8 The Mariners are 17-7 ON since Aug 27, 2017 as a road dog
930 29.3 1.0 19 9 67.9 The Mariners are 19-9-1 ON since Sep 26, 2017 on the road

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).