Information you need to win
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 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
1290 18.5 0.2 24 39 38.1 The Twins are 24-39 AGAINST since Sep 10, 2016 as a home dog
410 16.1 -0.2 9 14 39.1 The Twins are 9-14 AGAINST since May 06, 2018 as a road favorite
285 29.2 -0.6 3 6 33.3 The Twins are 3-6 AGAINST since Aug 24, 2018 at home
200 83.3 -4.5 0 2 0.0 The Twins are 0-2 AGAINST since Sep 08, 2018 as a home favorite
963 42.8 2.6 15 5 75.0 The Twins are 15-5 ON since Jul 07, 2018 as a home favorite
560 36.0 2.3 10 4 71.4 The Twins are 10-4 ON since Aug 31, 2018 on the road
560 25.5 1.5 13 7 65.0 The Twins are 13-7 ON since Aug 31, 2018
500 63.7 2.5 6 1 85.7 The Twins are 6-1 ON since Sep 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).