New User? Sign Up / Forgot Your Password?
All Live
Projections
    All Live Projections

    College Football Picks - 1/4/2013

    Last Updated: 1/1/2013 at 4:00 PM ET

    College Football Picks Pages:
    January 4: Predictalator Picks  Paul's Analysis
    All Bowl Games: Predictalator Picks
    Play Analyzer - View Updated Picks on Current Consensus Lines
    Customize the Predictalator - Play the Games with Any Lines
    Buy Picks

    Learn more about the Predictalator Picks, Customizable Predictalator and Play Analyzer with this Tutorial Video.

    One team covers the spread 57%+ in today's bowl game to qualify as a Paul's Pick for Friday, January 4.

    Meineke Car Care Bowl: Oklahoma +4.5 vs. Texas A&M (Covers 57.3%)

    The Vitals:
    Projected Score: OU 39.6 - TexA&M 37.6
    SU Pick and Win%: OU wins 51.9%
    SU Confidence Rank (of 35 bowls): #33
    ATS Pick and Win%: OU +4.5 covers 57.3%
    ATS Confidence Rank (of 35 bowls): #10
    ATS Wager for $50 Player: $52
    O/U Pick and Win%: OVER (71.5) covers 56.1%
    O/U Confidence Rank (of 35 bowls): 16
    O/U Wager for $50 Player: $39

    The Teams:

      OU TEXA&M
    Record 10-2 10-2
    Avg. Points For vs. Against 40.3-24.2 44.8-22.5
    Strength of Schedule Rank (of all FBS): #4 #24
    Passing Efficiency Rank (of 120 in SOS-adjusted metric): #6 #9
    Rushing Efficiency Rank #12 #3
    Pass Defense Efficiency Rank #16 #35
    Rush Defense Efficiency Rank #70 #27
    Pass/Run Ratio 57%/43% 49%/51%
    Turnover Margin Rank #88 #88

    The Breakdown:
    It used to be a classic Big 12 game. Now it may be the most classic of the 2012-13 bowl season games. Texas A&M and Oklahoma meet in a Cotton Bowl matchup that could be one of the higher scoring and most dramatic of all of the bowls. In the projected outcome, the current Big 12 team upsets the former Big 12 (and current SEC) team with an explosive pass offense and some matchup advantages that work in the Sooners' favor.

    With two top 25 schedules and each of these teams' two losses coming against teams that currently rank in the top ten overall in our updated college football power rankings, Oklahoma and Texas A&M have similar win-loss resumes on the year. Styles make fights though and, in this case, the team that can more effectively move the ball through the air and make big plays in the passing game - when all else is essentially equal - is the team that is in the slightly better position to win. That's true in most evenly-matched situations and is even more apt in a likely shootout.

    Led by senior starting quarterback Landry Jones, Oklahoma, which passes the ball 57% of the time and ranks as the sixth most efficient is matched up against the 35th ranked pass efficiency defense (now playing in the SEC instead of the pass-heavy Big 12, the Aggies' opponents only passed on 49.3% of their plays against Texas A&M this season). Jones is looking to win his fourth straight bowl game as the Oklahoma starting quarterback.

    With Heisman Trophy winner Johnny Manziel at the helm, Texas A&M runs a balanced offense that ranks as the ninth most efficient through the air in the country. While that is obviously good, it's not as strong as Jones and the Sooners and the Aggies have a much more difficult matchup going up against a Sooners defense that ranks as one of the top defenses against the pass in FBS (#16 of 124 teams). 

    The strongest case that can be made about the Cotton Bowl is that it should be a high-scoring, evenly matched shootout where neither team deserves to be a 4.5 point favorite (as Texas A&M is right now). The Sooners have a good chance to win this game and should (as they do 57% of the time) keep the game within the line. 

    College Football Picks Pages:
    January 4: Predictalator Picks  Paul's Analysis
    All Bowl Games: Predictalator Picks
    Play Analyzer - View Updated Picks on Current Consensus Lines
    Customize the Predictalator - Play the Games with Any Lines
    Buy Picks

    Print This Article
    Want More Tips and Information? Click To Register!
    Ad

    The Predictalator

    The Predictalator is the most advanced sports forecasting software available today because it has the ability to account for all of the relevant statistical interactions of the players, coaches, officials, home field advantage and weather in each game.

    Picks for every game, including our Play Value Key and Calculator recommendations for optimal bankroll management and access to the Play Analyzer can be purchased in the Shop.

    9/29/2014 Highlight: Using the ResultsFinder for the Week of September 22-28, one could find that, highlighted NFL "normal" or better over/under plays went 3-0 and all playable over/unders went 7-3 (70% O/U). In the last two weeks all playable NFL over/under picks are 14-7 (67% O/U).

    In the last week of the MLB regular season, PredictionMachine.com went 9-4 (69% ML, O/U, and RL) on all normal baseball plays. For the month of September, featured, "normal" or better MLB picks generated +$396 profit for a normal $50 player utiizing play value recommendations. In last season's baseball playoffs, all "normal" or better picks went 7-4 (64% ML, O/U, and RL) returning a +44% profit (including the purchase of the product) for a $50 player.

    Recommended Features

    LOGIN

    LATEST ARTICLES

    MLB Playoff Picks - 10/01/2014
    The Predictalator has played today's MLB games 50,000 times to analyze chances of each team winning each game relative to the money line and total. See the San Francisco Giants @ Pittsburgh Pirates.

    NFL Trends - Week 5
    NFL Week 5 betting trends utilizing the Trend Machine.

    FIND US ONLINE


    Statistical Information Provided by: SportsData © 2012

    All registered accounts are subject to our General Terms Of Service. Content is intended for informational purposes only. This is not a gambling website.
    Home | The Predictalator | Features | Privacy |  Customer Support |  Media Contact |  Sitemap |  Job Opportunities
    © 2010-2014 PredictionMachine.com, LLC. All rights reserved. | Site Designed by Randombell.com