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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
882 73.5 -0.8 3 9 25.0 The Diamondbacks are 3-9 AGAINST since Jun 16, 2018 at home
882 73.5 -0.8 3 9 25.0 The Diamondbacks are 3-9 AGAINST since Jun 16, 2018 as a home favorite
622 51.8 -0.3 4 8 33.3 The Diamondbacks are 4-8 AGAINST since Jun 29, 2018 as a favorite
587 35.1 -1.4 6 10 37.5 The Diamondbacks are 6-10 AGAINST since Jun 29, 2018
1368 37.9 0.6 22 14 61.1 The Diamondbacks are 22-14 ON since Sep 12, 2016 as a home dog
1163 14.6 0.7 40 29 58.0 The Diamondbacks are 40-29 ON since Aug 21, 2017 on the road
510 50.8 0.5 7 3 70.0 The Diamondbacks are 7-3 ON since Jun 05, 2018 as a road dog
510 50.8 0.5 7 3 70.0 The Diamondbacks are 7-3 ON since Jun 05, 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).