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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 wins losses % link
4676 12.4 133 192 40.9 The Indians are 133-192-17 AGAINST since Jun 09, 2013 on the road
4381 14.4 103 157 39.6 The Indians are 103-157-15 AGAINST since May 27, 2007 as a road favorite
2713 16.0 55 87 38.7 The Indians are 55-87-10 AGAINST since Aug 13, 2016
2553 19.5 40 69 36.7 The Indians are 40-69-8 AGAINST since Aug 21, 2016 as a favorite
1915 24.1 24 45 34.8 The Indians are 24-45-3 AGAINST since May 18, 2015 as a road dog
1263 12.5 36 52 40.9 The Indians are 36-52-3 AGAINST since May 18, 2015 as a dog
1048 18.7 19 31 38.0 The Indians are 19-31-1 AGAINST since Sep 20, 2016 as a home favorite
783 12.0 24 34 41.4 The Indians are 24-34-1 AGAINST since Sep 20, 2016 at home

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).