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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
4025 8.2 -0.0 183 241 43.2 The Orioles are 183-241-21 AGAINST since Sep 06, 2008 as a home favorite.
752 39.5 -1.7 4 12 25.0 The Orioles are 4-12-1 AGAINST since May 29, 2018 as a favorite.
360 27.0 -0.5 4 8 33.3 The Orioles are 4-8 AGAINST since Sep 03, 2019 on the road.
200 45.5 -2.4 1 3 25.0 The Orioles are 1-3 AGAINST since Sep 25, 2019 as a road dog.
200 88.9 -1.2 0 2 0.0 The Orioles are 0-2 AGAINST since Sep 15, 2019 as a road favorite.
200 45.5 -2.4 1 3 25.0 The Orioles are 1-3 AGAINST since Sep 25, 2019.
200 45.5 -2.4 1 3 25.0 The Orioles are 1-3 AGAINST since Sep 25, 2019 as a dog.
100 87.0 -6.5 0 1 0.0 The Orioles are 0-1 AGAINST since Sep 22, 2019 at home.
100 95.2 -2.5 0 1 0.0 The Orioles are 0-1 AGAINST since Sep 20, 2019 as a home dog.
570 38.0 2.6 10 4 71.4 The Orioles are 10-4 ON since Aug 12, 2017 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).