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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
2046 16.3 0.1 42 66 38.9 The Pirates are 42-66-6 AGAINST since Jun 21, 2017 as a dog
865 19.7 -0.3 14 24 36.8 The Pirates are 14-24-2 AGAINST since Jun 17, 2017 as a home dog
293 40.3 0.3 2 5 28.6 The Pirates are 2-5 AGAINST since Jul 25, 2018 as a road dog
200 97.6 -2.5 0 2 0.0 The Pirates are 0-2 AGAINST since Aug 11, 2018 on the road
200 97.6 -2.5 0 2 0.0 The Pirates are 0-2 AGAINST since Aug 11, 2018
100 83.3 -5.5 0 1 0.0 The Pirates are 0-1 AGAINST since Aug 05, 2018 at home
881 15.4 1.1 30 20 60.0 The Pirates are 30-20-3 ON since Mar 30, 2018 as a favorite
600 60.3 2.1 7 1 87.5 The Pirates are 7-1-1 ON since Jul 12, 2018 as a home 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).