Houston vs. Baylor Betting Odds, Free Picks, and Predictions - 3:30 PM ET (Sat, Nov 4, 2023)
Sun, Oct 29, 2023
NCAAF News (CapperTek)
Houston battle Baylor in NCAA College Football action on Saturday, November 4, 2023. Kickoff is set for 3:30 PM ET.
Want betting info or a prediction for this game? You've found the right article! We at CapperTek have all the latest sports betting tools and information to help put you on the right side of the betting action for this match-up.
Houston vs. Baylor Game Info and Betting Odds
Away Team: Houston (Underdog)
Home Team: Baylor (Favorite)
Date: Saturday, November 4, 2023
Time: 3:30 PM ET
League: NCAA College Football (NCAAF)
Houston Moneyline: +165
Baylor Moneyline: -199
Houston Spread: +4.5 (-113)
Baylor Spread: -4.5 (-106)
Game Total Points: 56.5 (Over -114 / Under -108)
Betting odds provided by BigBetBiz. Don't forget to check out BigBetBiz.ag if you are searching for a great book to place your sports wagers. Odds and lines are the best available at the time of publishing and are subject to change.
A Closer Look Inside the Betting Numbers
Let's start off by breaking down the away team and +165 betting underdogs, Houston.
In their last 10 games, Houston has a Straight Up record of 4 wins, 6 losses and an active Straight Up streak of 2 losses in a row. Also in their last 10 games, Houston has an Against-the-Spread record of 5 wins, 5 losses and an active Against-the-Spread streak of 1 loss in a row. The Game Total Points results for Houston games has a record of 5 overs, 5 unders in their last 10 games with an active streak of 2 unders in a row.
Now let's break down the home team and -199 betting favorites, Baylor.
In their last 10 games, Baylor has a Straight Up record of 3 wins, 7 losses and an active Straight Up streak of 1 loss in a row. Also in their last 10 games, Baylor has an Against-the-Spread record of 2 wins, 7 losses, 1 push and an active Against-the-Spread streak of 1 loss in a row. The Game Total Points results for Baylor games has a record of 6 overs, 4 unders in their last 10 games with an active streak of 2 overs in a row.
If you need more detailed betting information for this match-up such as the trends or steaks broken down into Home vs. Away splits, or Favorite vs. Underdog splits, make sure to check out the Houston vs. Baylor Trend Finder directly.
Who's Going to Win This Game? Our Prediction
We pride ourselves here at CapperTek on providing our users with the most advanced machine learning artificial intelligence to simulate game outcomes using algorithms we have custom designed over 10+ years of research and development.
Based on our simulation of Houston vs. Baylor NCAAF game, we have Baylor beating Houston with a simulated final score of: Houston  - Baylor 
Sometimes our game simulations change, like if there's a major line movement, drastic shift in the odds, or if there's a key injury, etc. To make sure you have the latest and most accurate simulation, you can run the Houston vs. Baylor Simulation directly. Also after the Houston vs. Baylor game is finished, you can re-run the simulation and check out how the simulated final result did compared to the actual final result.
What Should I Bet On? Our Free Picks
OK let's get down to the real reason you're here, who or what should you bet on in the Houston vs. Baylor NCAAF match-up? Based on the simulated prediction and results for this match-up above, we here at CapperTek suggest you place the following bets:
Free Moneyline Pick: Baylor -199
Free Spread Pick: Baylor -4.5 (-106)
Free Total Pick: Over 56.5 (-114)
Hopefully our free picks and predictions help you out if you're wagering on the Houston vs. Baylor NCAA College Football match-up. Our betting tips are based on detailed analytics and wagering intelligence to provide you the best possible plays. Our goal is to provide valuable sports betting information to gamblers and help put them on the right side of the action.
Please remember to always wager responsibly. For problem gambling help, please visit the National Council on Problem Gambling.
This article was generated using CapperTek's Betelligence Publisher API. Learn more.