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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
265 27.0 -2.2 3 6 33.3 The Pirates are 3-6 AGAINST since Jun 28, 2019 on the road.
265 27.0 -2.2 3 6 33.3 The Pirates are 3-6 AGAINST since Jun 28, 2019 as a road dog.
195 43.8 -1.8 1 3 25.0 The Pirates are 1-3 AGAINST since Jul 15, 2019.
100 83.3 -3.0 0 1 0.0 The Pirates are 0-1 AGAINST since Jul 19, 2019 as a favorite.
100 83.3 -3.0 0 1 0.0 The Pirates are 0-1 AGAINST since Jul 19, 2019 at home.
100 83.3 -3.0 0 1 0.0 The Pirates are 0-1 AGAINST since Jul 19, 2019 as a home favorite.
2057 27.2 2.0 44 21 67.7 The Pirates are 44-21-3 ON since May 01, 2019.
1683 34.6 2.6 30 12 71.4 The Pirates are 30-12-2 ON since Sep 23, 2018 at home.
1402 24.2 2.0 33 17 66.0 The Pirates are 33-17-2 ON since May 12, 2019 as a dog.
1170 55.6 4.0 15 3 83.3 The Pirates are 15-3-1 ON since May 22, 2019 as a home dog.
680 54.9 2.4 9 2 81.8 The Pirates are 9-2 ON since May 01, 2019 as a 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).