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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
475 15.2 -1.0 11 17 39.3 The Yankees are 11-17-1 AGAINST since May 26, 2016 as a home dog
240 19.8 -1.8 4 7 36.4 The Yankees are 4-7 AGAINST since Oct 13, 2017 as a dog
180 40.4 -3.5 1 3 25.0 The Yankees are 1-3 AGAINST since Apr 29, 2018 as a road dog
100 83.3 -0.5 0 1 0.0 The Yankees are 0-1 AGAINST since May 13, 2018 at home
100 83.3 -0.5 0 1 0.0 The Yankees are 0-1 AGAINST since May 13, 2018 as a home favorite
1951 9.7 1.2 102 76 57.3 The Yankees are 102-76-4 ON since Jul 31, 2016 as a favorite
1685 13.2 1.2 66 45 59.5 The Yankees are 66-45-4 ON since Aug 05, 2016 as a home favorite
1285 27.3 1.6 28 14 66.7 The Yankees are 28-14-1 ON since Apr 01, 2018
1100 7.2 0.7 75 58 56.4 The Yankees are 75-58-4 ON since Aug 12, 2016 at home
500 92.6 4.4 5 0 100.0 The Yankees are 5-0 ON since May 19, 2018 on the road
500 92.6 4.4 5 0 100.0 The Yankees are 5-0 ON since May 19, 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).