Mathematical Power Rankings | | Official Site of the Canadian Football League Mathematical Power Rankings
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Mathematical Power Rankings Explained

The 2013 CFL Power Rankings ‘mathematical edition’ uses an objective measurement of a team’s performance to date to establish a team’s ranking.

The 2013 statistical model – formulated using a statistical tool known as regression analysis – is based on information gathered from all regular season games played during the 2004 to 2011 seasons, inclusive – over 1,250 observations in total.

The results of the regression analysis suggest that the ten most statistically significant indicators of team success are:

1. Quarterback Efficiency Rating
2. Time of Possession, as measured by percentage
3. Rushing Yards
4. Turnovers on Downs
5. Fumbles
6. Sacks Taken
7. Punt Return Yards
8. # of Punts
9. # of Kick-Offs
10. # of Kick-Off Returns

Our regression model suggests that a team’s offensive score in a game may be represented by the following formula:

Quarterback Efficiency Rating x 0.125, plus
Time of Possession (%) x 8.38, plus
Rushing Yards x 0.0246, less
Turnovers on Downs x 1.54, less
Fumbles x 0.562, less
Sacks Taken x 0.537, plus
Punt Return Yards x 0.0238, less
# of Punts x 0.314, plus
# of Kick-Offs x 2.99, plus
# of Kick-Off Returns x 0.467.

Each week a Club’s “weekly score” will be determined by calculating a Club’s offensive score, using the formula above, then subtracting its opponent’s score calculated using the exact same formula.  

Once a weekly score has been determined, the Power Rankings will be determined:

1. For the first half of the season by taking each week’s score and weighting them evenly (for example, the Power Rankings in week 4 would weight each week 25%, week 5 would weight each week 20%, and so on), except for the first week, which is based 50% on the regression score and 50% on last year's standings; and

2. For the second half of the season, after Labour Day, by weighting the current week 20%, the immediately prior week 10%, and all other weeks 70%.

1 Brett Boyko UNLV OL
2 Alex Mateas UCONN OL
3 Daryl Waud Western DL
4 Tyler Varga Yale RB
5 Nic Demski Manitoba WR
6 Sean McEwen Calgary OL
7 Sukh Chungh Calgary OL
8 Danny Groulx Laval OL
9 Addison Richards Regina WR
10 Jacob Ruby Richmond OL
Fan Poll
Which team has the best 1-2 punch in the backfield?
1) BC: Andrew Harris, Stefan Logan
2) EDM: John White, Kendial Lawrence
3) CGY: Jon Cornish, Matt Walter
4) TOR: Curtis Steele, Steve Slaton
5) HAM: CJ Gable, Nic Grigsby
6) SSK: Anthony Allen, Jerome Messam