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
1664 10.9 0.1 55 76 42.0 The Padres are 55-76-7 AGAINST since Apr 06, 2018 as a road dog.
1262 27.4 -0.4 13 27 32.5 The Padres are 13-27-2 AGAINST since Jul 04, 2019 on the road.
380 29.4 -2.3 3 7 30.0 The Padres are 3-7-2 AGAINST since Sep 16, 2019 as a dog.
285 48.7 -4.2 1 4 20.0 The Padres are 1-4 AGAINST since Aug 25, 2019 as a home favorite.
275 30.9 -0.4 2 5 28.6 The Padres are 2-5-1 AGAINST since Jul 17, 2019 as a road favorite.
270 29.2 -2.4 2 5 28.6 The Padres are 2-5-1 AGAINST since Aug 25, 2019 as a favorite.
265 18.8 -2.1 4 7 36.4 The Padres are 4-7-2 AGAINST since Sep 16, 2019.
100 87.0 -7.5 0 1 0.0 The Padres are 0-1 AGAINST since Sep 26, 2019 as a home dog.
100 87.0 -7.5 0 1 0.0 The Padres are 0-1 AGAINST since Sep 26, 2019 at home.
640 21.5 0.9 17 10 63.0 The Padres are 17-10 ON since Jun 01, 2019 as a home 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).