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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
370 24.4 -1.3 5 9 35.7 The Indians are 5-9 AGAINST since Jul 30, 2018 as a favorite
370 24.4 -1.3 5 9 35.7 The Indians are 5-9 AGAINST since Jul 30, 2018
300 90.9 -4.3 0 3 0.0 The Indians are 0-3 AGAINST since May 20, 2018 as a road dog
280 36.3 -1.4 2 5 28.6 The Indians are 2-5 AGAINST since Jul 30, 2018 as a road favorite
280 36.3 -1.4 2 5 28.6 The Indians are 2-5 AGAINST since Jul 30, 2018 on the road
270 22.4 -1.0 4 7 36.4 The Indians are 4-7 AGAINST since Jul 14, 2018 at home
197 31.0 -1.8 2 4 33.3 The Indians are 2-4 AGAINST since Aug 04, 2018 as a home favorite
1448 27.6 2.5 32 16 66.7 The Indians are 32-16 ON since Aug 07, 2013 as a home dog
605 26.2 2.5 14 7 66.7 The Indians are 14-7 ON since Jun 13, 2017 as a 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).