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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 ml against,SDB's sample ml against
$ ROI Margin wins losses % link
5748 16.0 -1.2 89 163 35.3 The Orioles are 89-163 AGAINST since May 10, 2017
5354 20.0 -2.0 43 118 26.7 The Orioles are 43-118 AGAINST since May 10, 2017 as a dog
4434 10.6 -0.9 111 186 37.4 The Orioles are 111-186 AGAINST since Apr 20, 2015 on the road
3226 18.2 -1.9 28 76 26.9 The Orioles are 28-76 AGAINST since May 02, 2017 as a road dog
1916 18.2 -0.0 46 59 43.8 The Orioles are 46-59 AGAINST since Sep 23, 2012 as a road favorite
1078 33.7 -1.4 12 20 37.5 The Orioles are 12-20 AGAINST since Aug 31, 2017 as a favorite
523 20.9 -1.0 11 14 44.0 The Orioles are 11-14 AGAINST since Aug 31, 2017 as a home favorite
500 41.8 -5.6 0 5 0.0 The Orioles are 0-5 AGAINST since Aug 10, 2018 as a home 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).