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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 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
485 44.1 -0.6 2 7 22.2 The Mariners are 2-7-1 AGAINST since Sep 18, 2020 as a dog.
485 44.1 -0.6 2 7 22.2 The Mariners are 2-7-1 AGAINST since Sep 18, 2020.
400 74.3 -3.6 0 4 0.0 The Mariners are 0-4-1 AGAINST since May 22, 2019 as a road favorite.
285 37.3 -0.1 2 5 28.6 The Mariners are 2-5 AGAINST since Sep 18, 2020 as a home dog.
285 37.3 -0.1 2 5 28.6 The Mariners are 2-5 AGAINST since Sep 18, 2020 at home.
200 59.7 -1.7 0 2 0.0 The Mariners are 0-2-1 AGAINST since Sep 25, 2020 on the road.
200 59.7 -1.7 0 2 0.0 The Mariners are 0-2-1 AGAINST since Sep 25, 2020 as a road dog.
180 40.9 -0.2 1 3 25.0 The Mariners are 1-3 AGAINST since Sep 05, 2020 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).