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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 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
715 22.5 -1.4 10 18 35.7 The Tigers are 10-18-1 AGAINST since Sep 06, 2016 as a road favorite.
575 14.0 -0.6 13 20 39.4 The Tigers are 13-20-4 AGAINST since Apr 01, 2018 as a favorite.
388 29.6 -1.2 4 8 33.3 The Tigers are 4-8 AGAINST since Jun 15, 2019 at home.
388 29.6 -1.2 4 8 33.3 The Tigers are 4-8 AGAINST since Jun 15, 2019 as a home dog.
200 87.0 -1.2 0 2 0.0 The Tigers are 0-2 AGAINST since May 22, 2019 as a home favorite.
100 30.8 -0.8 1 2 33.3 The Tigers are 1-2 AGAINST since Jul 16, 2019 on the road.
100 30.8 -0.8 1 2 33.3 The Tigers are 1-2 AGAINST since Jul 16, 2019 as a road dog.
862 41.0 1.8 14 5 73.7 The Tigers are 14-5 ON since May 31, 2019 as a road dog.
847 36.4 1.6 15 6 71.4 The Tigers are 15-6 ON since May 31, 2019 on the road.
670 46.1 2.9 10 3 76.9 The Tigers are 10-3 ON since Jul 03, 2019 as a dog.
572 12.9 0.8 23 16 59.0 The Tigers are 23-16-1 ON since May 31, 2019.

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).