This Week's ARGH Game Predictions

These are the ARGH system predictions for games of the weekend of September 26. IMPORTANT: These are predictions, not betting lines! If you are looking for betting lines, please go to!

Revised 9-25-20


Alabama-Birmingham 7 over SOUTH ALABAMA; total 52


TEXAS-SAN ANTONIO 7 over Middle Tennessee State; total 56


Alabama 16 over MISSOURI; total 56
CINCINNATI 14 over Army; total 51
Central Florida 15 over EAST CAROLINA; total 61
VIRGINIA 16 over Duke; total 53
Florida 12 over MISSISSIPPI; total 53
LIBERTY 6 over Florida International; total 55
MIAMI, FLORIDA 4 over Florida State; total 53
Georgia 19 over ARKANSAS; total 53
LOUISIANA 14 over Georgia Southern; total 55
Georgia Tech 6 over SYRACUSE; total 50
Iowa State 2 over TEXAS CHRISTIAN; total 54
BAYLOR 17 over Kansas; total 55
OKLAHOMA 19 over Kansas State; total 58
AUBURN 6 over Kentucky; total 51
PITTSBURGH 8 over Louisville; total 55
LOUISIANA STATE 16 over Mississippi State; total 61
VIRGINIA TECH 10 over North Carolina State; total 57
Tennessee 4 over SOUTH CAROLINA; total 50
Texas 10 over TEXAS TECH; total 60
BOSTON COLLEGE 20 over Texas State; total 59
LOUISIANA-MONROE 4 over Texas-El Paso; total 51
BRIGHAM YOUNG 17 over Troy; total 59
Tulane 5 over SOUTHERN MISSISSIPPI; total 55
TEXAS A&M 20 over Vanderbilt; total 52
OKLAHOMA STATE 14 over West Virginia; total 53

ATS picks for all games are evaluated against the first available spread, with my pick'em games treated as a one point spread for this purpose only because there are no ties in college football.

ARGH Picks this week are:

More picks may be added later as lines change. Very late picks may be posted on the ARGH Power Ratings Facebook page. Picks found to be against incorrectly posted lines will be removed.

2020 Results (includes late picks posted on Facebook):

Last WeekOverall
Against the spread6-9.40016-18.471
ARGH Picks2-2.5004-4.500

Retrodictive standings measure how the ratings explain the games that have already happened.

ARGH Retrodictive standings
Bias toward home team3.64706
Mean error12.1765
Mean square error255.588

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