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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
3373 12.3 0.0 98 140 41.2 The Pirates are 98-140-12 AGAINST since Jun 13, 2017
2391 16.2 -0.0 50 78 39.1 The Pirates are 50-78-7 AGAINST since Jun 21, 2017 as a dog
2187 15.5 -0.4 48 74 39.3 The Pirates are 48-74-6 AGAINST since Jun 13, 2017 at home
1165 23.7 -0.6 15 28 34.9 The Pirates are 15-28-2 AGAINST since Jun 17, 2017 as a home dog
770 53.2 -2.5 2 10 16.7 The Pirates are 2-10-1 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
465 35.6 -0.6 3 8 27.3 The Pirates are 3-8-1 AGAINST since Aug 28, 2018 on the road
465 35.6 -0.6 3 8 27.3 The Pirates are 3-8-1 AGAINST since Aug 28, 2018 as a road dog
100 100.0 -1.5 0 1 0.0 The Pirates are 0-1 AGAINST since Aug 14, 2018 as a road 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).