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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
4543 21.2 -0.6 66 118 35.9 The Angels are 66-118-10 AGAINST since Jun 21, 2016 as a dog
2540 17.8 -0.3 45 75 37.5 The Angels are 45-75-9 AGAINST since Jun 21, 2016 as a road dog
2368 21.8 -0.6 34 61 35.8 The Angels are 34-61-3 AGAINST since Jun 10, 2014 as a home dog
200 97.6 -1.8 0 2 0.0 The Angels are 0-2 AGAINST since Aug 08, 2018 as a home favorite
200 97.6 -1.8 0 2 0.0 The Angels are 0-2 AGAINST since Aug 08, 2018 as a favorite
185 44.0 0.2 1 3 25.0 The Angels are 1-3 AGAINST since Aug 08, 2018 at home
165 17.0 0.2 3 5 37.5 The Angels are 3-5-1 AGAINST since Aug 04, 2018

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).