2017 Week 9 College Football “Six Pack” Predictions

2017_week_9_sixpack_img

Things are so much better coming off a successful weekend of predictions. The sky looks a little more blue, the cold doesn’t seem to bite as much – well, let’s be honest here.. the weather where I live isn’t cold. It’s just a little colder than 85 degrees. Anyway, you get the picture. I’m feeling great! Bring on week 9!

Obligatory tally of last week’s games

Dad: 3-3

Computer: 2-4

Me: 5-1

Finally, a nice weekly total for me, and Dad was also able to best the computer.  Good times for the humans.

Overall results

Dad: 20-20

Computer: 25-21

Me: 22-24

Well, there’s still time to catch the computer – let’s go! Prognosticator hat on.

Mississippi State (-1) at Texas A&M

Both of these teams’ records suggest a reasonable level of competence, and I’ll agree that they are competent. Not inspiring…just competent. A vote cast for the Bulldogs banks on them regaining the form that produced the LSU thrashing, while siding with the Aggies indicates the belief that they can play inspired football at home. (They were able to play pretty well against Alabama.) I’ll go with Dan Mullen and the Bulldogs.

Winner: Mississippi State

Dad’s prediction: Texas A&M

Computer prediction: Mississippi State

Georgia (-14) at Florida

This isn’t Florida’s year. Georgia all the way.

Winner: Georgia

Dad’s prediction: Georgia

Computer prediction: Georgia

TCU (-6.5) at Iowa State

This is one of the better games this week. Everyone knows by now that Iowa State is pretty good, right? TCU will (barely) cover.

Winner: TCU

Dad’s prediction: Iowa State

Computer prediction: Iowa State

NC State at Notre Dame (-7.5)

NC State’s a little frisky, but they aren’t going to stop the Notre Dame machine this week, leading to a ton more bandwagon Irish believers out there. Yes, college football is better when Notre Dame is good, but that doesn’t mean I have to like it.

Winner: Notre Dame

Dad’s prediction: Notre Dame

Computer prediction: NC State

Oklahoma State (-7.5) at West Virginia

Oklahoma State barely escaped with a win last week against Texas. West Virginia is home and getting 7.5 points, which is too many for Oklahoma State to cover.

Winner: West Virginia (+7.5)

Dad’s prediction: West Virginia

Computer prediction: Oklahoma State

Penn State at Ohio State (-6.5)

Ah, a classic matchup. Will Penn State running back Saquon Barkley find openings in Ohio State’s defensive line to run through? Can J.T. Barrett lead Ohio State to victory with his arm? Edge goes to Ohio State’s overall talent, and it’s hard to believe that Urban Meyer’s team will lose a second home game. Ohio State will force Penn State quarterback Trace McSorely to win the game with his arm, and I don’t think he’s up for the challenge this week.

Winner: Ohio State

Dad’s prediction: Ohio State

Computer prediction: Penn State

Enjoy this “Six Pack” of games!

 

 

 

Logo Attribution: Mississippi State University [Public domain], via Wikimedia Commons, Texas A&M University [Public domain], via Wikimedia Commons, University of Georgia [Public domain], via Wikimedia Commons, University of Florida (http://www.sportslogos.net/) [Public domain], via Wikimedia Commons, By Texas Christian University (Official website) [Public domain], via Wikimedia Commons, By Iowa State – http://www.cyclones.com//pdf4/103508.pdf, Public Domain, https://commons.wikimedia.org/w/index.php?curid=31743292, By North Carolina State University [Public domain], via Wikimedia Commons, University of Notre Dame [Public domain], via Wikimedia Commons, Oklahoma State University–Stillwater [Public domain], via Wikimedia Commons, By West Virginia University – http://tls.wvu.edu/r/download/23909, colors from http://creativeservices.wvu.edu/r/download/10258Transferred from en.wikipedia to Commons by SreeBot., Public Domain, https://commons.wikimedia.org/w/index.php?curid=17880087, Pennsylvania State University (Extracted from here, and converted to svg) [Public domain], via Wikimedia Commons, Buckeyes1186 at English Wikipedia (Transferred from en.wikipedia to Commons.) [Public domain], via Wikimedia Commons



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