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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 against
$ ROI Margin wins losses % link
633 28.5 -0.4 6 13 31.6 The Mets are 6-13-1 AGAINST since Jul 18, 2017 as a home dog
400 94.1 -3.0 0 4 0.0 The Mets are 0-4 AGAINST since May 08, 2018 on the road
400 94.1 -3.0 0 4 0.0 The Mets are 0-4 AGAINST since May 08, 2018 as a road dog
260 21.0 0.6 4 7 36.4 The Mets are 4-7 AGAINST since Apr 21, 2018 as a favorite
260 21.5 -0.5 4 7 36.4 The Mets are 4-7 AGAINST since May 05, 2018
220 12.8 0.5 6 9 40.0 The Mets are 6-9 AGAINST since Apr 03, 2018 as a home favorite
180 27.9 -0.8 2 4 33.3 The Mets are 2-4 AGAINST since May 08, 2018 as a dog
100 31.7 1.8 1 2 33.3 The Mets are 1-2 AGAINST since Apr 21, 2018 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).