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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
1220 20.5 -0.3 19 33 36.5 The Cardinals are 19-33-2 AGAINST since Sep 07, 2017 as a favorite
1170 15.0 0.0 27 41 39.7 The Cardinals are 27-41-3 AGAINST since Sep 06, 2017
1055 23.8 -0.2 13 25 34.2 The Cardinals are 13-25-2 AGAINST since Aug 27, 2017 at home
755 19.9 -0.2 12 21 36.4 The Cardinals are 12-21-1 AGAINST since Sep 08, 2017 as a home favorite
670 38.6 -0.7 4 11 26.7 The Cardinals are 4-11-1 AGAINST since Sep 22, 2017 as a road favorite
400 72.1 -2.1 0 4 0.0 The Cardinals are 0-4-1 AGAINST since Jul 27, 2017 as a home dog
270 34.6 -1.1 2 5 28.6 The Cardinals are 2-5 AGAINST since Apr 29, 2018 on the road
200 93.0 -2.8 0 2 0.0 The Cardinals are 0-2 AGAINST since May 15, 2018 as a dog
100 87.0 -4.0 0 1 0.0 The Cardinals are 0-1 AGAINST since May 15, 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).