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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
3819 10.2 -0.0 137 190 41.9 The Blue Jays are 137-190-11 AGAINST since Oct 21, 2015
3742 9.4 0.2 148 200 42.5 The Blue Jays are 148-200-10 AGAINST since Aug 12, 2013 at home
2284 7.5 0.2 112 147 43.2 The Blue Jays are 112-147-14 AGAINST since Aug 12, 2013 as a dog
2022 8.3 0.0 92 122 43.0 The Blue Jays are 92-122-4 AGAINST since Oct 21, 2015 as a favorite
1845 24.2 -0.4 23 44 34.3 The Blue Jays are 23-44-1 AGAINST since Aug 12, 2013 as a home dog
530 29.3 -0.8 5 11 31.2 The Blue Jays are 5-11 AGAINST since Sep 01, 2017 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).