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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
1015 12.7 -0.6 28 41 40.6 The Mariners are 28-41-3 AGAINST since Sep 04, 2017 at home
635 11.9 -0.5 19 27 41.3 The Mariners are 19-27-2 AGAINST since Aug 12, 2017 as a home favorite
290 50.9 -0.4 1 4 20.0 The Mariners are 1-4 AGAINST since Aug 10, 2018 on the road
290 50.9 -0.4 1 4 20.0 The Mariners are 1-4 AGAINST since Aug 10, 2018
250 17.3 0.2 5 8 38.5 The Mariners are 5-8 AGAINST since Jul 14, 2018 as a dog
190 42.2 0.1 1 3 25.0 The Mariners are 1-3 AGAINST since Aug 10, 2018 as a road dog
185 20.9 0.2 3 5 37.5 The Mariners are 3-5 AGAINST since Jun 25, 2018 as a road favorite
100 83.3 -2.5 0 1 0.0 The Mariners are 0-1 AGAINST since Aug 14, 2018 as a 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).