Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at

Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
agile access to sports data


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,SDB's sample ats
p val wins losses % link
0.017345 17 6 73.9 The Alouettes are 17-6 ATS (3.98 ppg) since Aug 11, 2018 as a dog.
0.017578 12 3 80.0 The Alouettes are 12-3 ATS (5.23 ppg) since Jun 30, 2018 as a road dog.
0.024521 13 4 76.5 The Alouettes are 13-4 ATS (4.65 ppg) since Jun 30, 2018 on the road.
0.062500 0 4 0.0 The Alouettes are 0-4 ATS (-7.25 ppg) since Aug 02, 2019 as a home favorite.

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 for this site is generated using the Sports Data Query Language (SDQL).