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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
0.002987 26 9 74.3 The Blue Bombers are 26-9 ATS (7.11 ppg) since Jul 28, 2016 as a dog.
0.009605 15 4 78.9 The Blue Bombers are 15-4 ATS (5.42 ppg) since Jun 14, 2018 at home.
0.015625 6 0 100.0 The Blue Bombers are 6-0 ATS (12.42 ppg) since Oct 12, 2019.
0.032715 9 2 81.8 The Blue Bombers are 9-2 ATS (6.91 ppg) since Sep 21, 2018 as a home favorite.
0.035156 7 1 87.5 The Blue Bombers are 7-1 ATS (9.44 ppg) since Jun 15, 2019 as a road 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
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Content for this site is generated using the Sports Data Query Language (SDQL).