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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
3556 22.0 -2.1 27 73 27.0 The Orioles are 27-73 AGAINST since Aug 16, 2016 as a home dog
3119 19.9 -1.4 34 71 32.4 The Orioles are 34-71 AGAINST since Aug 31, 2017 at home
1916 18.2 -0.0 46 59 43.8 The Orioles are 46-59 AGAINST since Sep 23, 2012 as a road favorite
1078 33.7 -1.4 12 20 37.5 The Orioles are 12-20 AGAINST since Aug 31, 2017 as a favorite
542 14.9 -2.6 4 14 22.2 The Orioles are 4-14 AGAINST since Apr 03, 2019
542 14.9 -2.6 4 14 22.2 The Orioles are 4-14 AGAINST since Apr 03, 2019 as a dog
523 20.9 -1.0 11 14 44.0 The Orioles are 11-14 AGAINST since Aug 31, 2017 as a home favorite
1315 77.4 -0.8 9 8 52.9 The Orioles are 9-8 ON since Sep 23, 2018 as a road dog
1315 77.4 -0.8 9 8 52.9 The Orioles are 9-8 ON since Sep 23, 2018 on the road
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).