Bowl Game Pick 'em Results

If you haven't read my previous post on picking bowl game winners with elote, this may not make a whole lot of sense, but basically I wrote a rating system, trained it on the college football season thus far, and used it to predict winners for every bowl game. In this post, I'm tracking how it did.

I'll update this as the games happen, currently we're at 15-17 on picking wins 16-14-2 vs the spread, doing ok.

All matchups are in the format: "team I picked to win - team I picked to lose"


Matchup Win / Loss Versus Spread
West Virginia - Utah  WRONG  WRONG
N Illinois - Duke  WRONG  WRONG
UCLA - Kansas State  WRONG  WRONG
Florida State - Southern Miss  RIGHT RIGHT
Purdue - Arizona  RIGHT  RIGHT
Missou - Texas  WRONG  WRONG
Navy - Virginia  RIGHT  RIGHT
Oklahoma St. - VT  RIGHT  RIGHT
TCU - Stanford  RIGHT  RIGHT
Michigan St. - Washington St.  RIGHT  RIGHT
Texas A&M - Wake Forest  WRONG  PUSH
Arizona St. - NC State  WRONG  WRONG
Northwestern - Kentucky  RIGHT  RIGHT
New Mexico State - Utah State  RIGHT  RIGHT
Ohio State - USC  RIGHT  RIGHT
Miss St. - Louisville
Memphis - Iowa St.
Penn St. - Washington
Miami - Wisconsin
USCe - Michigan
Auburn - UCF
LSU - Notre Dame
Oklahoma - UGA
Clemson - Alabama
N. Texas - Troy WRONG  WRONG
Georgia State - WKU RIGHT  RIGHT
Oregon - Boise St. WRONG  WRONG
Colorado St. - Marshall WRONG  PUSH
Arkansas St. - MTSU WRONG  WRONG
Grambling - NC A&T WRONG  RIGHT
Reinhardt - St. Francis IN WRONG WRONG
FL Atlantic - Akron RIGHT RIGHT
SMU - Louisiana Tech WRONG  WRONG
Florida International - Temple WRONG  WRONG
Wyoming - C. Michigan RIGHT  RIGHT
S. Florida - Texas Tech RIGHT  RIGHT
Toledo - App State WRONG  WRONG
Houston - Fresno State  WRONG  WRONG


Will has a background in Mechanical Engineering from Auburn, but mostly just writes software now. He was the first employee at Predikto, and is currently building out the premiere platform for predictive maintenance in heavy industry there as Chief Scientist. When not working on that, he is generally working on something related to python, data science or cycling.

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