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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
1410 31.8 -0.5 12 27 30.8 The Mets are 12-27-1 AGAINST since Apr 03, 2018 as a favorite
1030 34.2 -0.9 8 19 29.6 The Mets are 8-19 AGAINST since Apr 03, 2018 as a home favorite
440 17.4 -0.2 8 13 38.1 The Mets are 8-13-2 AGAINST since Jun 09, 2017 as a road favorite
390 30.0 -1.0 4 8 33.3 The Mets are 4-8 AGAINST since Jul 04, 2018
290 24.5 -1.0 4 7 36.4 The Mets are 4-7 AGAINST since Jul 06, 2018 at home
100 87.0 -2.5 0 1 0.0 The Mets are 0-1 AGAINST since Jul 15, 2018 as a home dog
100 87.0 -2.5 0 1 0.0 The Mets are 0-1 AGAINST since Jul 15, 2018 as a dog
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since Jul 04, 2018 on the road
100 87.0 -0.5 0 1 0.0 The Mets are 0-1 AGAINST since Jul 04, 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).