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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
2041 18.5 0.1 48 62 43.6 The Orioles are 48-62 AGAINST since Sep 23, 2012 as a road favorite.
1581 34.4 -0.8 17 29 37.0 The Orioles are 17-29 AGAINST since Aug 31, 2017 as a favorite.
901 26.5 -0.9 14 20 41.2 The Orioles are 14-20 AGAINST since Aug 31, 2017 as a home favorite.
880 27.0 -1.6 4 15 21.1 The Orioles are 4-15 AGAINST since Aug 25, 2020 on the road.
780 24.7 -1.4 4 14 22.2 The Orioles are 4-14 AGAINST since Aug 25, 2020 as a road dog.
645 19.9 -1.1 5 14 26.3 The Orioles are 5-14 AGAINST since Sep 09, 2020.
545 17.4 -0.9 5 13 27.8 The Orioles are 5-13 AGAINST since Sep 09, 2020 as a dog.
931 22.7 -0.3 19 22 46.3 The Orioles are 19-22 ON since Aug 11, 2019 as a home dog.
766 51.1 1.4 9 6 60.0 The Orioles are 9-6 ON since Aug 22, 2020 at home.
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).