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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
0.002090 14 2 87.5 The Blue Bombers are 14-2 ATS (8.19 ppg) since Jul 07, 2016 on the road
0.005859 10 1 90.9 The Blue Bombers are 10-1 ATS (7.41 ppg) since Jul 07, 2016 as a road dog
0.009579 20 7 74.1 The Blue Bombers are 20-7-2 ATS (4.12 ppg) since Jul 28, 2016
0.011230 11 2 84.6 The Blue Bombers are 11-2 ATS (6.96 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
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Content for this site is generated using the Sports Data Query Language (SDQL).