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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
4465 6.6 -0.1 258 329 44.0 The Astros are 258-329-23 AGAINST since Sep 08, 2004 as a home favorite
4355 3.6 0.0 484 577 45.6 The Astros are 484-577-47 AGAINST since Sep 08, 2004 at home
1705 13.4 -0.6 45 66 40.5 The Astros are 45-66-5 AGAINST since Aug 09, 2017
1665 20.1 -0.9 27 46 37.0 The Astros are 27-46-2 AGAINST since Sep 12, 2017 as a favorite
680 17.7 -0.0 12 20 37.5 The Astros are 12-20-3 AGAINST since Sep 03, 2014 as a home dog
630 20.4 -0.7 10 17 37.0 The Astros are 10-17-1 AGAINST since Oct 18, 2017 on the road
530 16.6 -0.6 11 17 39.3 The Astros are 11-17-1 AGAINST since Sep 29, 2017 as a road favorite
300 92.3 -2.8 0 3 0.0 The Astros are 0-3 AGAINST since Oct 31, 2017 as a dog
300 87.0 -2.7 0 3 0.0 The Astros are 0-3 AGAINST since Oct 24, 2017 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).