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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
2056 16.6 -0.3 43 67 39.1 The Rays are 43-67-3 AGAINST since Jul 22, 2016 as a road favorite.
380 31.2 -1.5 3 7 30.0 The Rays are 3-7-1 AGAINST since Sep 24, 2019.
290 50.9 -2.9 1 4 20.0 The Rays are 1-4 AGAINST since Sep 24, 2019 as a favorite.
200 90.9 -5.2 0 2 0.0 The Rays are 0-2 AGAINST since Sep 24, 2019 as a home favorite.
190 24.4 -1.1 2 4 33.3 The Rays are 2-4-1 AGAINST since Sep 27, 2019 on the road.
190 43.5 -2.0 1 3 25.0 The Rays are 1-3 AGAINST since Sep 24, 2019 at home.
100 43.5 -1.8 0 1 0.0 The Rays are 0-1-1 AGAINST since Oct 05, 2019 as a road dog.
100 46.1 -1.2 0 1 0.0 The Rays are 0-1-1 AGAINST since Oct 08, 2019 as a dog.
100 93.5 -2.5 0 1 0.0 The Rays are 0-1 AGAINST since Oct 08, 2019 as a home dog.
1335 44.1 1.8 20 6 76.9 The Rays are 20-6-1 ON since Jun 23, 2019 as a dog.
1068 47.8 1.9 15 4 78.9 The Rays are 15-4-1 ON since Jun 23, 2019 as a road dog.
567 51.6 1.5 8 2 80.0 The Rays are 8-2 ON since Apr 19, 2019 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).