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Week 5 Predictions

Posted on September 26, 2013 at 7:45 PM

6-1 this year

#1 Alabama 38 @ #21 Mississippi 21

Alabama gets off to a slow start, but they are Alabama and are too good to lose to a pretty good, but not amazing Ole MIss squad.

#23 Wisconsin 24 @ #4 Ohio State 27

I think I would go with Wisconsin in Madison, as I believe these teams are pretty even. I think playing Miller will hurt the Buckeyes as they only take a three point victory

#6 LSU 31 @ #9 Georgia 34

LSU's passing offense is way better than it's been in the past. I think this will be a great game, but Georgia has the experience playing top competition this year and will use that experience to lead to a win in Athens.

#14 Oklahoma 24 @ #22 Notre Dame 20

I don't think either of these teams are very good, but Oklahoma will pull of the victory.

Upset: Arizona 31 @ #16 Washington 28

I've been impressed by both of these teams this year, but this is the best upset option.

Northern Illinois 24 @ Purdue 21

Against one of the worst defenses in America, Purdue can't put up over 300 yards. Maybe Appleby next week.

Categories: Predictions, 2013

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National leaders are updated weekly. Conference and school leaders are updated yearly.

This site has the most comprehensive list of all-time college football individual statistical leaders online. Every stat on this site is based on the NCAA official rules, not the school or conference rules (no bowl games prior to 2002). Defensive stats, not including interceptions, did not become official until 2000. That is why you will see two lists; one is the official one since 2000, the other is more inclusive with the start date based on when most schools began reporting defensive stats.

Some defensive stats are marked with a single asterisk (*). This means that bowl games were included in the statistics reported by the school, therefore, the player's per game average has been subtracted for each bowl game played.

Other defensive stats are marked with two asterisks (**). This means the value is only approximated, based on the statistics that could be found.