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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
3574 11.0 -0.1 119 166 41.8 The Rockies are 119-166-9 AGAINST since Jun 29, 2016
2934 24.2 -1.0 36 69 34.3 The Rockies are 36-69-4 AGAINST since Sep 17, 2016 as a favorite
2917 20.2 -0.6 44 78 36.1 The Rockies are 44-78-8 AGAINST since Jul 18, 2009 as a road favorite
2879 18.6 -0.3 52 85 38.0 The Rockies are 52-85-4 AGAINST since Jul 08, 2016 at home
2104 23.5 -1.0 27 51 34.6 The Rockies are 27-51-2 AGAINST since Sep 17, 2016 as a home favorite
1145 28.1 0.2 13 25 34.2 The Rockies are 13-25 AGAINST since Aug 02, 2016 as a home dog
580 23.1 -1.4 7 14 33.3 The Rockies are 7-14-1 AGAINST since Apr 05, 2018 on the road
555 18.7 -0.4 9 16 36.0 The Rockies are 9-16-1 AGAINST since Sep 14, 2017 as a dog
410 22.3 -1.5 5 10 33.3 The Rockies are 5-10-1 AGAINST since Mar 31, 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).