College Football Predictions

College football predictions today powered by data science. Our analytical model produces NCAA football picks for moneyline, spread, and over/under markets. Click into each matchup for full NCAAF predictions and picks.
Coastal Carolina
31.4%
DraftKings
+4.5
Delaware
68.6%
FanDuel
-4.5
Georgia
96.7%
DraftKings
-24.5
Arkansas
3.3%
bet365
+24.5
North Carolina
40.4%
BetRivers
+3.5
Clemson
59.6%
FanDuel
-3.5
Arizona State
64.0%
bet365
-5.5
Kansas
36.0%
Caesars
+5.5
Kent State
0.1%
Caesars
+52.5
Ohio State
99.9%
bet365
-52.5
Tulane
7.2%
BetRivers
+21.0
Kansas State
92.8%
BetRivers
-21.0
Akron
3.5%
Caesars
+23.0
Minnesota
96.5%
Caesars
-23.0
Bowling Green
3.4%
FanDuel
+23.5
Iowa State
96.6%
BetRivers
-23.5
North Texas
41.1%
FanDuel
+2.5
Texas State
58.9%
BetRivers
-2.5
Buffalo
0.4%
Caesars
+41.0
Penn State
99.6%
Caesars
-41.0
Mercer
1.4%
BetRivers
+39.0
Georgia Tech
98.6%
BetRivers
-39.0
Villanova
93.8%
Caesars
-18.5
Long Island University
6.2%
bet365
+18.5
Brown
79.2%
Caesars
-10.0
New Haven
20.8%
Caesars
+10.0
Lafayette
39.1%
bet365
+2.5
Columbia
60.9%
Caesars
-2.5
Dartmouth
10.0%
bet365
+16.5
Lehigh
90.0%
Caesars
-16.5
West Georgia
10.3%
bet365
+16.5
East Tennessee State
89.7%
Caesars
-16.5
Eastern Michigan
3.2%
BetRivers
+23.0
Wisconsin
96.8%
BetRivers
-23.0
North Carolina State
37.1%
bet365
+3.0
Vanderbilt
62.9%
BetRivers
-3.0
Wyoming
50.7%
FanDuel
-1.5
Central Michigan
49.3%
Caesars
+1.5
Harvard
88.2%
bet365
-15.5
New Hampshire
11.8%
bet365
+15.5
Princeton
57.8%
bet365
-2.5
Bryant University
42.2%
bet365
+2.5
Valparaiso
3.8%
bet365
+24.5
Indiana State
96.2%
bet365
-24.5
Cornell
16.2%
DraftKings
+12.5
Colgate
83.8%
bet365
-12.5
VMI
57.7%
Caesars
-4.0
Davidson
42.3%
Caesars
+4.0
Maine
0.8%
bet365
+38.5
Boston College
99.2%
BetRivers
-38.5
Southern Illinois
0.8%
bet365
+39.5
Illinois
99.2%
bet365
-39.5
Yale
93.2%
bet365
-21.5
Holy Cross
6.8%
bet365
+21.5
Presbyterian
0.6%
bet365
+34.5
Western Carolina
99.4%
bet365
-34.5
Rhode Island
78.6%
bet365
-13.5
Stony Brook
21.4%
bet365
+13.5
Temple
33.3%
BetRivers
+5.5
Toledo
66.7%
FanDuel
-5.5
Pennsylvania
61.9%
bet365
-3.5
Bucknell
38.1%
bet365
+3.5
Eastern Illinois
1.6%
bet365
+29.5
Illinois State
98.4%
bet365
-29.5
Central Connecticut State
0.9%
bet365
+38.5
Montana State
99.1%
bet365
-38.5
Florida State
6.9%
DraftKings
+19.5
Alabama
93.1%
FanDuel
-19.5
Southern Methodist
46.2%
FanDuel
+1.5
Louisville
53.8%
BetRivers
-1.5
Kentucky
11.1%
bet365
+16.5
Texas A&M
88.9%
Caesars
-16.5
Utah State
2.0%
bet365
+27.5
Utah
98.0%
Caesars
-27.5
Southern California
96.4%
DraftKings
-21.5
Rutgers
3.6%
bet365
+21.5
Texas-El Paso
0.6%
FanDuel
+34.5
Michigan
99.4%
Caesars
-34.5
Miami Ohio
13.1%
DraftKings
+15.5
Cincinnati
86.9%
Caesars
-15.5
Duquesne
0.5%
bet365
+38.5
Washington State
99.5%
BetRivers
-38.5
Wagner
0.1%
bet365
+58.5
California
99.9%
FanDuel
-58.5
Monmouth
50.9%
bet365
+1.5
Albany NY
49.1%
DraftKings
-1.5
Georgetown
17.4%
bet365
+12.5
Richmond
82.6%
bet365
-12.5
Western Kentucky
0.4%
FanDuel
+44.5
Indiana
99.6%
Caesars
-44.5
Stanford
22.2%
bet365
+10.5
Duke
77.8%
FanDuel
-10.5
Louisiana Tech
7.1%
bet365
+19.5
Baylor
92.9%
Caesars
-19.5
Ball State
13.1%
FanDuel
+14.5
Liberty
86.9%
bet365
-14.5
Northern Iowa
0.5%
bet365
+38.5
Iowa
99.5%
Caesars
-38.5
Hampton
25.6%
bet365
+8.5
Norfolk State
74.4%
DraftKings
-8.5
Abilene Christian
47.4%
DraftKings
-1.5
Idaho
52.6%
bet365
+1.5
Mississippi State
34.3%
Caesars
+4.0
South Carolina
65.7%
Caesars
-4.0
Southeastern Louisiana
18.5%
FanDuel
+11.5
Louisiana-Monroe
81.5%
FanDuel
-11.5
Florida International
33.8%
bet365
+6.5
Florida Atlantic
66.2%
DraftKings
-6.5
East Carolina
37.5%
bet365
+3.0
Old Dominion
62.5%
Caesars
-3.0
Charlotte
8.5%
BetRivers
+17.5
Appalachian State
91.5%
bet365
-17.5
Sacred Heart
13.7%
bet365
+13.5
Elon University
86.3%
bet365
-13.5
Dayton
21.3%
bet365
+11.5
Eastern Kentucky
78.7%
DraftKings
-11.5
Fordham
6.8%
bet365
+19.5
William & Mary
93.2%
DraftKings
-19.5
Wofford
46.5%
bet365
+1.5
Chattanooga
53.5%
DraftKings
-1.5
North Carolina Central
33.4%
bet365
+7.0
Gardner-Webb
66.6%
bet365
-7.0
Morgan State
19.3%
bet365
+10.5
Towson
80.7%
bet365
-10.5
North Carolina A&T
7.0%
bet365
+20.5
Campbell
93.0%
DraftKings
-20.5
Marshall
58.8%
DraftKings
-4.0
Missouri State
41.2%
Caesars
+4.0
Florida
54.4%
bet365
-2.5
Auburn
45.6%
Caesars
+2.5
Western Michigan
76.2%
Caesars
-8.5
Rice
23.8%
bet365
+8.5
Georgia State
9.7%
Caesars
+17.5
UCF
90.3%
bet365
-17.5
Connecticut
59.5%
bet365
-3.5
Southern Miss
40.5%
bet365
+3.5
Troy
2.2%
Caesars
+27.5
Missouri
97.8%
bet365
-27.5
Ohio
31.0%
bet365
+7.0
South Alabama
69.0%
bet365
-7.0
Nevada
61.5%
DraftKings
-4.5
Middle Tennessee
38.5%
BetRivers
+4.5
Georgia Southern
35.9%
DraftKings
+3.0
Jacksonville State
64.1%
Caesars
-3.0
Murray State
0.3%
FanDuel
+55.5
Oklahoma State
99.7%
BetRivers
-55.5
Delaware State
2.2%
Caesars
+37.5
South Florida
97.8%
Caesars
-37.5
Nicholls State
10.7%
BetRivers
+19.0
Sam Houston State
89.3%
BetRivers
-19.0
Tennessee-Martin
2.1%
FanDuel
+34.5
Memphis
97.9%
bet365
-34.5
South Carolina State
76.8%
DraftKings
-9.5
Furman
23.2%
DraftKings
+9.5
Youngstown State
24.5%
bet365
+10.5
South Dakota State
75.5%
bet365
-10.5
Central Arkansas
46.1%
bet365
+2.5
Southeast Missouri State
53.9%
bet365
-2.5
Merrimack
1.3%
bet365
+32.5
Tarleton State
98.7%
bet365
-32.5
Morehead State
7.3%
bet365
+20.5
Western Illinois
92.7%
DraftKings
-20.5
Alcorn State
15.3%
bet365
+13.5
North Alabama
84.7%
DraftKings
-13.5
Tennessee State
36.2%
bet365
+3.5
Florida A&M
63.8%
bet365
-3.5
Houston Christian
13.9%
DraftKings
+14.0
Incarnate Word
86.1%
DraftKings
-14.0
Austin Peay
77.5%
bet365
-9.5
West Florida
22.5%
bet365
+9.5
Eastern Washington
0.6%
Caesars
+42.5
Washington
99.4%
bet365
-42.5
North Dakota
5.4%
DraftKings
+25.5
Nebraska
94.6%
Caesars
-25.5
LSU
57.4%
DraftKings
-3.0
Mississippi
42.6%
bet365
+3.0
West Virginia
20.4%
DraftKings
+10.5
Virginia
79.6%
bet365
-10.5
Virginia Tech
58.7%
FanDuel
-2.5
Maryland
41.3%
bet365
+2.5
Michigan State
2.5%
BetRivers
+30.0
Notre Dame
97.5%
BetRivers
-30.0
Colorado
37.3%
BetRivers
+3.5
Northwestern
62.7%
DraftKings
-3.5
Brigham Young
91.5%
DraftKings
-17.5
Colorado State
8.5%
bet365
+17.5
New Mexico
5.9%
bet365
+21.5
Oklahoma
94.1%
bet365
-21.5
Kennesaw State
1.9%
DraftKings
+35.5
Tennessee
98.1%
bet365
-35.5
UTSA
2.4%
BetRivers
+30.5
Texas
97.6%
FanDuel
-30.5
Arkansas State
8.2%
bet365
+18.5
TCU
91.8%
Caesars
-18.5
UAB
24.8%
bet365
+7.5
Louisiana-Lafayette
75.2%
DraftKings
-7.5
East Texas A&M
0.5%
bet365
+42.5
Tulsa
99.5%
bet365
-42.5
Northwestern State
1.8%
bet365
+34.5
Weber State
98.2%
DraftKings
-34.5
Stephen F. Austin
88.9%
DraftKings
-16.5
Prairie View
11.1%
bet365
+16.5
Northern Arizona
94.2%
DraftKings
-21.5
Utah Tech
5.8%
DraftKings
+21.5
San Diego
7.2%
bet365
+19.5
Cal Poly
92.8%
DraftKings
-19.5
James Madison
46.3%
FanDuel
+1.5
San Diego State
53.7%
bet365
-1.5
South Dakota
4.3%
FanDuel
+26.5
Boise State
95.7%
FanDuel
-26.5
Stetson
0.7%
bet365
+47.5
UC Davis
99.3%
DraftKings
-47.5
Northern Illinois
1.0%
Caesars
+34.0
Arizona
99.0%
BetRivers
-34.0
North Dakota State
96.9%
FanDuel
-27.5
Sacramento State
3.1%
DraftKings
+27.5
Fresno State
64.8%
bet365
-6.5
San Jose State
35.2%
DraftKings
+6.5
Purdue
12.8%
bet365
+14.5
UCLA
87.2%
FanDuel
-14.5
Montana
14.4%
bet365
+17.5
Oregon State
85.6%
bet365
-17.5
Syracuse
13
Pittsburgh
27
Miami Florida
33
Wake Forest
20
Houston
26
Texas Tech
28
Portland State
0
Oregon
84
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Top college football predictions this week [9/19]

For this week’s slate of NCAAF FBS games, California leads all win probabilities with a 99.9% chance of beating Kent State at California Memorial Stadium. Ohio State and Oklahoma State also rank among this week's leading moneyline favorites.

These are our top three moneyline predictions for the week:

  1. California 99.9% win probability vs. Kent State (12:30pm ET, Saturday)
  2. Ohio State 99.9% win probability vs. Wagner (9:00am ET, Saturday)
  3. Oklahoma State 99.7% win probability vs. Murray State (4:00pm ET, Saturday)

See the full slate above for predictions on every NCAAF game this week.

NCAAF predictions and college football picks today: 2026-27 NCAA football computer picks

NCAA Division I football is built different. With more than 130 teams in the Football Bowl Subdivision (FBS) alone, every Saturday consists of dozens of games. That’s a lot of research when you’re looking for the best college football picks.

The tricky part is, you don’t want to miss quality bets, and you also don’t want to chase picks impulsively.

Dimers cuts through that chaos with a systematic approach to betting. Rather than relying on opinion or intuition, we combine advanced data analysis with machine learning to produce moneyline, spread, and over/under NCAAF predictions and picks you can use to evaluate each matchup.

Each matchup includes:

  • Spread pick
  • Over/under pick
  • Moneyline pick
  • Predicted final score

Our college football picks cover every stage of the season, from Week 0 through conference championships, bowl games, and the College Football Playoff.

As new information becomes available during the week, our model updates its forecasts so our college football predictions today reflect the latest available team information, quarterback expectations, and betting market data.

What college football picks and NCAAF predictions do we provide?

Dimers provides college football predictions across the three most popular NCAA football betting markets. For every game, our model calculates the probability of each outcome, helping you compare those chances against the displayed odds and identify potential value.

NCAAF Moneyline Picks

The moneyline is the simplest college football betting market—you’re picking the outright winner of the game, regardless of the final score or winning margin. Our model estimates each team’s chances of winning and compares those probabilities with the displayed odds.

NCAAF Spread Picks

Spread betting involves predicting whether a team will cover the bookmaker’s point spread rather than simply win the game. Our model projects the expected winning margin and calculates each team’s probability of covering the spread, helping you spot potential value when the market may have mispriced a matchup.

NCAAF Total Picks (Over/Under)

Total betting is based on whether the combined score finishes over or under the sportsbook’s projected total. Using projected scoring for both teams, our model estimates the likelihood of the game finishing over or under the line.

Every Dimers NCAAF prediction is paired with displayed odds, so you can compare our model’s probabilities with the market price before making a betting decision.

How to use our college football picks and NCAAF predictions for sharper betting

Our college football picks are designed to help you evaluate every game quickly and confidently. Follow these steps to compare our model’s forecasts with the displayed odds and identify potential value before placing your bets.

  • Pick a matchup: Browse the table above to find the week’s college football games. Each matchup displays our moneyline prediction by default.
  • Toggle betting markets: Open the game predictions tab and switch between the moneyline, point spread, and over/under markets to view our pre-game probabilities for each.
  • Check the pre-game probabilities: Every college football prediction includes a percentage out of 100, giving you a clear picture of how likely our model believes each outcome is.
  • Compare probabilities against the price: Look for situations where our predicted probability is higher than what the odds imply. These discrepancies may highlight value betting opportunities where the market could be underestimating a team’s chances.

Using our NCAA football picks can help you make more informed betting decisions throughout the season.

Remember that no prediction is guaranteed, but combining data-driven college football predictions with disciplined bankroll management can help you make more informed decisions over the long term.

How Dimers generates our college football picks and NCAAF predictions

Every college football prediction on Dimers is powered by our in-house machine-learning model. For the 2026-27 season, we rebuilt the model from the ground up using a newer and more relevant training dataset, with the goal of making our NCAAF picks better reflect the way college football looks today.

Trained on current college football

The current model is trained on data from 2020 through 2025. The training data also excludes input from before the major 2023 college football rule changes. That gives the current model a more relevant foundation for generating 2026-27 college football picks and predictions.

A fresh model built for 2026-27

This isn’t simply the old model being run again with new data. For 2026-27, we’ve retrained a fresh model designed around the current college football environment.

That distinction matters because college football changes constantly. Teams, coaches, players, transfer patterns, rules, and the broader competitive environment all evolve, so a model built several seasons ago can become less representative over time.

Built in-house for greater control

Our college football model is built internally at Dimers. That gives us 100% control over how the model is developed, evaluated, and improved. It also allows us to build out explainability capabilities so we can better understand why the model makes particular predictions.

Spread picks and win probabilities come from the same projection

Our spread projection and win probability come from the same underlying game projection, creating a more consistent relationship between our college football picks across betting markets.

Probabilities are built for modern college football

Rather than relying on older, static push charts, our college football model accounts for the point values and scoring environment of modern college football.

That means our college football predictions are better aligned with the way points are actually scored and how current NCAAF betting markets behave.

Quarterback form feeds directly into the projection

Quarterback performance and form feed directly into the game projection. This allows our college football picks to account for the expected starting quarterback rather than simply relying on what happened in a team’s previous game or two.

That distinction is particularly important in college football, where starting quarterback changes can have a significant impact on a team’s expected performance.

What factors does the college football model consider?

The model incorporates a range of team, player, matchup, and game information when generating each projection, including:

  • Recent form: Team and player performance is weighted toward more recent games, helping the model account for how teams are playing now.
  • Power ratings: Dynamic ratings help quantify overall team strength and account for the quality of opposition and home-field advantage.
  • Strength of schedule: Team statistics are adjusted based on the caliber of each opponent, helping prevent performances against weaker competition from being overvalued.
  • Quarterback play and form: Quarterback performance is incorporated directly into the projection, including the expected starting quarterback for the matchup.
  • Advanced team metrics: Offensive and defensive performance, scoring production, pace, and other predictive metrics contribute to each projection.
  • Performance against market expectations: The model considers how teams perform relative to betting lines to help identify situations where the market may be overvaluing or undervaluing a team.
  • Official game information: Matchups, venues, scheduling, and other game-specific information are incorporated into the prediction.

Once a game is projected, the model uses that projection to calculate the expected margin, expected total, and win probability. Those outputs are then used to generate the corresponding spread, total, and moneyline probabilities.

The entire prediction pipeline refreshes throughout the week as team information and market prices change. That means our college football picks and NCAAF predictions can reflect new information rather than remaining static from the initial release.

The same machine-learning model also powers our College Football Best Bets and College Football Parlays, helping bettors evaluate potential opportunities across the college football betting market.

Explore our full suite of college football betting tools

Our college football picks and predictions are just the beginning. Dimers offers a complete suite of tools to help you evaluate NCAAF games and betting opportunities throughout the season:

Unlock unlimited access to all our betting tools by joining Dimers Pro.

New to NCAAF betting? Start with our guide on seven things to consider before betting on college football.

Move beyond free college football predictions and picks with Dimers Pro

Dimers Pro unlocks premium college football betting tools that go beyond our free NCAA football predictions. Subscribers get unlimited access to our reliable system designed to help you find potential betting value every week.

  • Full college sports coverage: NCAA football, men’s basketball, and women’s basketball.
  • Real-time research tools: Access on desktop or the native mobile app.
  • Dimebot AI assistant: Get instant answers powered by our data analysis.
  • Private Discord: Connect with other bettors and Dimers experts.
  • 15,000+ events annually: Picks, props, parlays, and more across all major sports.

Gain a real edge this college football season with Dimers Pro.

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Betting on college football legally and responsibly

Sports betting laws vary by state, and some jurisdictions restrict betting on college sports. Always check the regulations where you live before placing a wager. You can consult our college sports legal betting guide for in-depth information.

If you choose to bet, do so responsibly. Set a budget, avoid chasing losses, and treat sports betting as entertainment rather than a guaranteed way to make money. If you or someone you know needs support, please visit our responsible gambling resources.

Your Questions Answered

How accurate are your college football computer predictions?

Our system is designed to identify long-term betting value rather than simply picking winners. Every prediction is generated from statistical modelling and machine learning instead of subjective opinion. While no betting model can predict every result correctly, our approach is built to provide consistent, data-driven insights throughout the season.