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
180 26.9 -1.3 2 4 33.3 The Reds are 2-4 AGAINST since Aug 04, 2018 on the road
180 26.9 -1.3 2 4 33.3 The Reds are 2-4 AGAINST since Aug 04, 2018 as a road dog
100 83.3 -2.5 0 1 0.0 The Reds are 0-1 AGAINST since Jun 13, 2018 as a road favorite
100 83.3 -5.0 0 1 0.0 The Reds are 0-1 AGAINST since Jul 29, 2018 as a favorite
100 83.3 -5.0 0 1 0.0 The Reds are 0-1 AGAINST since Jul 29, 2018 as a home favorite
4312 8.9 0.8 236 178 57.0 The Reds are 236-178-27 ON since Jul 16, 2004 as a home dog
1112 29.9 1.1 22 10 68.8 The Reds are 22-10-1 ON since Jun 05, 2018 at home
775 14.3 0.8 28 19 59.6 The Reds are 28-19-3 ON since Aug 30, 2013 as a road favorite
660 34.9 1.4 12 5 70.6 The Reds are 12-5 ON since Jul 07, 2018 on the road
560 31.5 1.3 11 5 68.8 The Reds are 11-5 ON since Jul 07, 2018 as a road 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).