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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
0.003693 13 2 86.7 The Blue Bombers are 13-2 ATS (8.00 ppg) since Jul 07, 2016 on the road
0.010742 9 1 90.0 The Blue Bombers are 9-1 ATS (7.05 ppg) since Jul 07, 2016 as a road dog
0.011328 18 6 75.0 The Blue Bombers are 18-6-1 ATS (5.02 ppg) since Jul 28, 2016
0.019287 10 2 83.3 The Blue Bombers are 10-2 ATS (6.62 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).