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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
1367 31.9 -0.6 11 26 29.7 The Rays are 11-26-1 AGAINST since May 20, 2018 as a dog
1187 30.1 -1.1 10 23 30.3 The Rays are 10-23-2 AGAINST since Jul 21, 2017 as a home dog
840 38.9 -0.3 5 14 26.3 The Rays are 5-14 AGAINST since May 20, 2018 as a road dog
545 26.1 -0.1 6 12 33.3 The Rays are 6-12-1 AGAINST since Apr 11, 2018 as a road favorite
363 32.2 -1.2 3 7 30.0 The Rays are 3-7 AGAINST since Aug 02, 2018
300 87.0 -3.8 0 3 0.0 The Rays are 0-3 AGAINST since Aug 10, 2018 on the road
163 18.2 -0.2 3 5 37.5 The Rays are 3-5 AGAINST since Aug 02, 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).