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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
3955 21.5 -0.5 57 102 35.8 The Angels are 57-102-7 AGAINST since Jun 21, 2016 as a dog
2327 19.4 -0.2 38 65 36.9 The Angels are 38-65-6 AGAINST since Jun 21, 2016 as a road dog
1993 19.9 -0.6 32 55 36.8 The Angels are 32-55-3 AGAINST since Jun 10, 2014 as a home dog
440 32.4 -0.6 3 8 27.3 The Angels are 3-8-1 AGAINST since Apr 11, 2018 on the road
180 32.1 -0.8 1 3 25.0 The Angels are 1-3-1 AGAINST since Apr 12, 2018 as a road favorite
1748 10.0 0.8 85 62 57.8 The Angels are 85-62-11 ON since Jun 26, 2012 as a road favorite
1514 9.8 0.8 74 54 57.8 The Angels are 74-54-12 ON since May 03, 2016 as a favorite
735 25.7 1.4 16 8 66.7 The Angels are 16-8-2 ON since Aug 29, 2017 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).