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


NBA Trends SDB Home    NBA Trends    NBA Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su guest's web all active on filter on
Trends from SDB's sample ats,SDB's sample ats
p val wins losses % link
0.002213 16 3 84.2 The Celtics are 16-3-1 ATS (6.25 ppg) since Apr 21, 2017 as a favorite
0.002270 25 8 75.8 The Celtics are 25-8-1 ATS (2.79 ppg) since Apr 21, 2017
0.002282 39 17 69.6 The Celtics are 39-17-2 ATS (2.02 ppg) since Oct 29, 2016 on the road
0.007813 7 0 100.0 The Celtics are 7-0 ATS (8.79 ppg) since May 12, 2017 as a road dog
0.015625 6 0 100.0 The Celtics are 6-0 ATS (8.50 ppg) since Oct 17, 2017 as a dog
0.019531 8 1 88.9 The Celtics are 8-1-1 ATS (6.40 ppg) since Apr 08, 2017 as a road favorite
0.032715 9 2 81.8 The Celtics are 9-2 ATS (6.09 ppg) since Apr 26, 2017 as a home favorite
0.062500 6 1 85.7 The Celtics are 6-1 ATS (7.79 ppg) since Oct 24, 2017 at home

Trend Parameters: active, english, invested, losses, margin, pushes, pval, 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).