A crowd-sourced stats provider. 		S p o r t s D a t a b a s e . c o m
agile access to sports data


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
380 28.4 -1.3 3 7 30.0 The Pirates are 3-7-2 AGAINST since Jul 19, 2019 as a home favorite.
275 19.1 -1.1 4 7 36.4 The Pirates are 4-7-2 AGAINST since Jul 19, 2019 as a favorite.
200 93.0 -3.8 0 2 0.0 The Pirates are 0-2 AGAINST since Sep 28, 2019 as a dog.
200 93.0 -3.8 0 2 0.0 The Pirates are 0-2 AGAINST since Sep 28, 2019 as a home dog.
200 93.0 -3.8 0 2 0.0 The Pirates are 0-2 AGAINST since Sep 28, 2019.
200 93.0 -3.8 0 2 0.0 The Pirates are 0-2 AGAINST since Sep 28, 2019 at home.
100 87.0 -2.0 0 1 0.0 The Pirates are 0-1 AGAINST since Sep 22, 2019 on the road.
100 87.0 -2.0 0 1 0.0 The Pirates are 0-1 AGAINST since Sep 22, 2019 as a road dog.
2619 22.2 1.8 66 36 64.7 The Pirates are 66-36-4 ON since May 12, 2019 as a dog.
1903 12.8 1.4 76 52 59.4 The Pirates are 76-52-6 ON since Jun 17, 2014 as a home dog.
1149 16.6 1.5 37 23 61.7 The Pirates are 37-23-2 ON since May 12, 2019 on the road.
949 14.2 1.5 35 23 60.3 The Pirates are 35-23-2 ON since May 12, 2019 as a road dog.
535 24.5 1.1 13 7 65.0 The Pirates are 13-7 ON since Mar 30, 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).