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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
4670 7.1 0.1 249 318 43.9 The Nationals are 249-318-27 AGAINST since Apr 20, 2009 as a dog
2563 13.6 0.0 65 96 40.4 The Nationals are 65-96-9 AGAINST since May 20, 2017
1952 8.1 0.4 91 117 43.8 The Nationals are 91-117-11 AGAINST since Jul 26, 2015 on the road
1543 10.4 0.2 54 74 42.2 The Nationals are 54-74-7 AGAINST since May 20, 2017 as a favorite
1505 36.4 -0.8 9 25 26.5 The Nationals are 9-25-3 AGAINST since Jul 17, 2017 as a road favorite
1335 10.5 -0.5 46 64 41.8 The Nationals are 46-64-4 AGAINST since Apr 22, 2010 as a home dog
100 97.1 -2.0 0 1 0.0 The Nationals are 0-1 AGAINST since May 19, 2018 at home
100 97.1 -2.0 0 1 0.0 The Nationals are 0-1 AGAINST since May 19, 2018 as a home favorite
100 31.0 -1.5 1 2 33.3 The Nationals are 1-2 AGAINST since Apr 22, 2018 as a road dog

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).