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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
1004 16.6 -0.1 19 31 38.0 The Angels are 19-31-5 AGAINST since May 20, 2018 as a home favorite
896 9.3 0.2 34 46 42.5 The Angels are 34-46-8 AGAINST since May 20, 2018 as a favorite
485 36.9 -1.6 3 8 27.3 The Angels are 3-8-1 AGAINST since Mar 28, 2019 as a road dog
375 28.8 0.2 3 7 30.0 The Angels are 3-7-2 AGAINST since May 11, 2019
200 93.0 -1.5 0 2 0.0 The Angels are 0-2 AGAINST since May 11, 2019 as a road favorite
190 25.9 0.4 2 4 33.3 The Angels are 2-4-1 AGAINST since May 17, 2019 at home
185 32.7 0.1 1 3 25.0 The Angels are 1-3-1 AGAINST since May 11, 2019 on the road
673 41.4 3.9 11 4 73.3 The Angels are 11-4 ON since Aug 12, 2018 as a home dog
600 60.3 4.7 7 1 87.5 The Angels are 7-1-1 ON since Apr 24, 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).