Winning Picks, Guaranteed
S p o r t s D a t a b a s e . c o m
tools    for    the    objective    handicapper


name
password


CFL Trends SDB Home    CFL Trends    CFL Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su active on filter on
Trends from SDB's sample ats
p val wins losses % link
0.001175 15 2 88.2 The Blue Bombers are 15-2 ATS (7.74 ppg) since Jul 07, 2016 on the road
0.003174 11 1 91.7 The Blue Bombers are 11-1 ATS (6.83 ppg) since Jul 07, 2016 as a road dog
0.006270 21 7 75.0 The Blue Bombers are 21-7-2 ATS (4.00 ppg) since Jul 28, 2016
0.006470 12 2 85.7 The Blue Bombers are 12-2 ATS (6.50 ppg) since Jul 28, 2016 as a dog

Trend Parameters: active, english, 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).