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
0.000122 13 0 100.0 The Heat are 13-0 ATS (12.50 ppg) as a dog - since Jan 17, 2017.
0.000977 10 0 100.0 The Heat are 10-0 ATS (12.00 ppg) as a road dog - since Jan 27, 2017.
0.024521 13 4 76.5 The Heat are 13-4 ATS (6.09 ppg) on the road - since Jan 27, 2017.
0.031250 0 5 0.0 The Heat are 0-5 ATS (-8.90 ppg) as a home favorite - since Mar 23, 2017.
0.031250 0 5 0.0 The Heat are 0-5 ATS (-8.90 ppg) at home - since Mar 23, 2017.
0.062500 0 4 0.0 The Heat are 0-4 ATS (-5.88 ppg) as a favorite - since Mar 31, 2017.

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).