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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
500 46.1 -0.8 2 7 22.2 The Giants are 2-7-1 AGAINST since Jul 02, 2018 as a road favorite.
365 32.7 -1.3 3 7 30.0 The Giants are 3-7 AGAINST since Jun 12, 2019 as a home dog.
315 17.6 -0.2 6 10 37.5 The Giants are 6-10 AGAINST since Jun 12, 2019 at home.
285 53.6 -3.2 1 4 20.0 The Giants are 1-4 AGAINST since Jul 15, 2019.
185 42.8 -3.5 1 3 25.0 The Giants are 1-3 AGAINST since Jul 15, 2019 as a dog.
100 100.0 -2.0 0 1 0.0 The Giants are 0-1 AGAINST since Jul 18, 2019 as a favorite.
100 100.0 -2.0 0 1 0.0 The Giants are 0-1 AGAINST since Jul 18, 2019 as a home favorite.
1525 37.7 2.8 26 10 72.2 The Giants are 26-10-1 ON since Apr 02, 2019 as a road dog.
1315 27.3 2.4 28 14 66.7 The Giants are 28-14-2 ON since Apr 02, 2019 on the road.
1225 19.6 1.8 35 21 62.5 The Giants are 35-21-1 ON since Apr 23, 2019 as a 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).