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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 ml against,SDB's sample ml against
$ ROI Margin wins losses % link
3511 9.9 -0.8 101 161 38.5 The Orioles are 101-161 AGAINST since Apr 20, 2015 on the road
3095 19.8 -2.1 27 70 27.8 The Orioles are 27-70 AGAINST since May 10, 2017 as a dog
2203 18.7 -1.8 19 51 27.1 The Orioles are 19-51 AGAINST since May 02, 2017 as a road dog
2016 19.3 -0.1 45 59 43.3 The Orioles are 45-59 AGAINST since Sep 23, 2012 as a road favorite
1150 19.9 -2.2 13 28 31.7 The Orioles are 13-28 AGAINST since Aug 16, 2016 as a home dog
1105 44.2 -2.4 8 17 32.0 The Orioles are 8-17 AGAINST since Aug 31, 2017 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).