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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
500 58.6 -2.8 1 6 14.3 The Orioles are 1-6-1 AGAINST since Mar 31, 2018 as a home dog
445 25.6 -1.2 5 10 33.3 The Orioles are 5-10-1 AGAINST since Apr 15, 2018 as a dog
280 51.1 -2.5 1 4 20.0 The Orioles are 1-4 AGAINST since May 05, 2018 as a road dog
280 51.1 -2.5 1 4 20.0 The Orioles are 1-4 AGAINST since May 05, 2018 on the road
180 39.7 -1.2 1 3 25.0 The Orioles are 1-3 AGAINST since May 16, 2018
100 88.5 -5.0 0 1 0.0 The Orioles are 0-1 AGAINST since May 16, 2018 at home
500 67.1 4.0 6 1 85.7 The Orioles are 6-1 ON since Aug 12, 2017 as a road favorite

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).