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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
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 48.2 -0.2 1 3 25.0 The Angels are 1-3 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
185 28.7 -1.2 2 4 33.3 The Angels are 2-4 AGAINST since Aug 04, 2018 as a road dog
170 19.8 -0.4 3 5 37.5 The Angels are 3-5 AGAINST since Aug 04, 2018 as a dog
100 90.9 -5.0 0 1 0.0 The Angels are 0-1 AGAINST since Aug 19, 2018 as a road favorite
100 90.9 -5.0 0 1 0.0 The Angels are 0-1 AGAINST since Aug 19, 2018
100 90.9 -5.0 0 1 0.0 The Angels are 0-1 AGAINST since Aug 19, 2018 on the road

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).