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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 against
$ ROI Margin wins losses % link
2555 37.6 -0.7 17 44 27.9 The Reds are 17-44-1 AGAINST since Aug 15, 2018
2105 47.8 -1.5 9 31 22.5 The Reds are 9-31 AGAINST since Aug 04, 2018 on the road
1775 38.4 -0.7 11 30 26.8 The Reds are 11-30-1 AGAINST since Aug 15, 2018 as a dog
1605 41.7 -1.4 9 26 25.7 The Reds are 9-26 AGAINST since Aug 04, 2018 as a road dog
1165 22.7 -0.4 16 28 36.4 The Reds are 16-28-3 AGAINST since Aug 30, 2017 as a favorite
830 15.5 -0.4 19 28 40.4 The Reds are 19-28-2 AGAINST since Jul 21, 2017 as a home favorite
780 42.0 -1.5 4 12 25.0 The Reds are 4-12-1 AGAINST since Sep 11, 2018 at home
600 88.9 -2.6 0 6 0.0 The Reds are 0-6 AGAINST since Jun 13, 2018 as a road favorite
400 52.8 -1.6 1 5 16.7 The Reds are 1-5-1 AGAINST since Sep 11, 2018 as a home 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).