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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
1158 25.0 -0.7 14 27 34.1 The Diamondbacks are 14-27-1 AGAINST since Jun 26, 2018 on the road
550 36.3 -1.2 4 10 28.6 The Diamondbacks are 4-10 AGAINST since Jul 13, 2018 as a road dog
485 61.9 -1.9 1 6 14.3 The Diamondbacks are 1-6 AGAINST since Aug 19, 2018 as a road favorite
432 20.8 -0.7 7 12 36.8 The Diamondbacks are 7-12 AGAINST since Aug 05, 2018 as a home favorite
375 43.8 -1.4 2 6 25.0 The Diamondbacks are 2-6 AGAINST since Sep 11, 2018 as a favorite
330 21.0 -0.9 5 9 35.7 The Diamondbacks are 5-9 AGAINST since Apr 03, 2018 as a home dog
145 16.5 -0.7 3 5 37.5 The Diamondbacks are 3-5 AGAINST since Sep 22, 2018
575 53.0 1.9 8 2 80.0 The Diamondbacks are 8-2 ON since Sep 10, 2018 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).