A crowd-sourced stats provider.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


name
password


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 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
1720 33.5 -0.7 14 32 30.4 The Marlins are 14-32-1 AGAINST since Sep 29, 2018 as a road dog.
1720 33.5 -0.7 14 32 30.4 The Marlins are 14-32-1 AGAINST since Sep 29, 2018 on the road.
1392 15.3 -0.0 31 47 39.7 The Marlins are 31-47-5 AGAINST since Apr 05, 2019 as a dog.
1282 13.3 0.1 34 49 41.0 The Marlins are 34-49-5 AGAINST since Apr 05, 2019.
200 90.9 -1.5 0 2 0.0 The Marlins are 0-2 AGAINST since Jul 17, 2019 as a home dog.
200 90.9 -1.5 0 2 0.0 The Marlins are 0-2 AGAINST since Jul 17, 2019 at home.
2781 11.4 0.9 125 89 58.4 The Marlins are 125-89-6 ON since Aug 05, 2004 as a road favorite.
1355 17.8 0.9 40 25 61.5 The Marlins are 40-25-4 ON since Sep 24, 2016 as a favorite.
555 30.9 2.6 10 4 71.4 The Marlins are 10-4-2 ON since Jun 12, 2019 at home.

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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).