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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 against
$ ROI Margin wins losses % link
3333 11.7 0.0 102 144 41.5 The Pirates are 102-144-12 AGAINST since Jun 13, 2017
2067 14.5 -0.3 49 74 39.8 The Pirates are 49-74-6 AGAINST since Jun 13, 2017 at home
1045 20.8 -0.4 16 28 36.4 The Pirates are 16-28-2 AGAINST since Jun 17, 2017 as a home dog
870 56.2 -2.7 2 11 15.4 The Pirates are 2-11-1 AGAINST since Aug 14, 2018 as a favorite
670 49.7 -2.6 2 9 18.2 The Pirates are 2-9-1 AGAINST since Aug 18, 2018 as a home favorite
545 26.2 -0.7 6 12 33.3 The Pirates are 6-12-1 AGAINST since Aug 28, 2018 on the road
200 100.0 -3.5 0 2 0.0 The Pirates are 0-2 AGAINST since Aug 14, 2018 as a road favorite
180 20.0 -1.2 3 5 37.5 The Pirates are 3-5 AGAINST since Sep 15, 2018 as a road 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).