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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
tools for the objective handicapper


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
0.054688 8 2 80.0 The Tiger Cats are 8-2-1 ATS (8.45 ppg) since Nov 11, 2018 at home.
0.089844 7 2 77.8 The Tiger Cats are 7-2 ATS (5.28 ppg) since Sep 14, 2019.
0.089844 7 2 77.8 The Tiger Cats are 7-2-1 ATS (8.30 ppg) since Nov 11, 2018 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
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Content for this site is generated using the Sports Data Query Language (SDQL).