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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
610 21.1 -0.7 9 16 36.0 The Mariners are 9-16-1 AGAINST since May 20, 2018 as a favorite
545 12.4 -0.4 15 22 40.5 The Mariners are 15-22-2 AGAINST since Aug 12, 2017 as a home favorite
260 17.8 -0.8 5 8 38.5 The Mariners are 5-8 AGAINST since Apr 24, 2018 as a road favorite
240 19.3 -0.9 4 7 36.4 The Mariners are 4-7 AGAINST since Jun 24, 2018 on the road
200 87.0 -5.5 0 2 0.0 The Mariners are 0-2 AGAINST since Jul 14, 2018 as a dog
200 87.0 -5.5 0 2 0.0 The Mariners are 0-2 AGAINST since Jul 14, 2018 as a road dog
200 87.0 -5.5 0 2 0.0 The Mariners are 0-2 AGAINST since Jul 14, 2018
195 26.2 -1.5 2 4 33.3 The Mariners are 2-4-1 AGAINST since Jul 01, 2018 at home

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).