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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
1598 16.5 50 45 52.6 The Indians are 50-45 AGAINST since Apr 07, 2017
740 26.1 7 16 30.4 The Indians are 7-16 AGAINST since Apr 11, 2015 as a home dog
645 106.6 1 5 16.7 The Indians are 1-5 AGAINST since Jul 14, 2017 on the road
545 109.0 1 4 20.0 The Indians are 1-4 AGAINST since Jul 14, 2017 as a road favorite
2234 21.7 55 48 53.4 The Indians are 55-48 ON since Jun 14, 2014 as a road dog
590 36.5 8 1 88.9 The Indians are 8-1 ON since Jul 06, 2017 at home
590 36.5 8 1 88.9 The Indians are 8-1 ON since Jul 06, 2017 as a home favorite
500 61.0 5 0 100.0 The Indians are 5-0 ON since Jul 21, 2017 as a favorite
500 61.0 5 0 100.0 The Indians are 5-0 ON since Jul 21, 2017

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).