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


name
password

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 ou,SDB's sample ou
p val wins losses % link
0.000268 11 35 23.9 The Lions are 11-35 OU (-4.77 ppg) since Jun 28, 2007 as a road favorite.
0.010742 1 9 10.0 The Lions are 1-9 OU (-7.95 ppg) since Aug 15, 2019.
0.019287 2 10 16.7 The Lions are 2-10-1 OU (-7.42 ppg) since Nov 07, 2015 as a home dog.
0.028687 3 11 21.4 The Lions are 3-11 OU (-4.57 ppg) since Jun 16, 2018 as a favorite.
0.031250 0 5 0.0 The Lions are 0-5 OU (-10.60 ppg) since Aug 15, 2019 as a dog.
0.062500 0 4 0.0 The Lions are 0-4 OU (-9.62 ppg) since Aug 15, 2019 on the road.
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@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).