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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
475 33.3 -1.5 4 9 30.8 The Mariners are 4-9 AGAINST since Sep 05, 2018
395 59.4 -2.2 1 5 16.7 The Mariners are 1-5 AGAINST since Sep 05, 2018 at home
260 18.1 -0.7 5 8 38.5 The Mariners are 5-8 AGAINST since Aug 25, 2018 as a dog
200 87.0 -2.8 0 2 0.0 The Mariners are 0-2 AGAINST since Sep 08, 2018 as a home dog
200 46.5 -1.5 1 3 25.0 The Mariners are 1-3 AGAINST since Sep 16, 2018 on the road
195 44.8 -1.5 1 3 25.0 The Mariners are 1-3 AGAINST since Sep 05, 2018 as a favorite
150 11.1 0.4 5 7 41.7 The Mariners are 5-7 AGAINST since Jun 25, 2018 as a road favorite
100 32.3 -1.5 1 2 33.3 The Mariners are 1-2 AGAINST since Sep 17, 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).