NCAAF Projections
| SCHEDULED | OPEN | PRO LINE Projections Our model’s odds for each game, compared to the consensus odds. We recommend at least a Grade of B or a +3.5% Edge before considering a bet based solely on projections. | CONS. | GRADE | EDGE | BEST ODDS | BET % | MONEY % |
|---|---|---|---|---|---|---|---|---|
12:00 AM  Miami (OH) M-OH 107  Buffalo BUFF 108 | -2.5 +2.5 | -1.5 +1.5 | -1.5-105 +1.5-110 | 64%36% | ||||
12:00 AM  C. Michigan CMU 109  Kent State KENT 110 | -7.5 +7.5 | -8.5 +8.5 | -7.5-112 +8.5-110 | 37%63% | ||||
12:30 AM  Louisiana UL 113  Arkansas St ARST 114 | +2.5 -2.5 | +2.5 -2.5 | +2.5+100 -2.5-114 | 63%37% | ||||
1:00 AM  Florida St FSU 115  NC State NCST 116 | -2.5 +2.5 | -4.5 +4.5 | -4.5-110 +5.5-114 | 40%60% | ||||
3:30 AM  Hawaii HAW 117  UNLV UNLV 118 | +3 -3 | +3 -3 | +2.5-102 -2.5-110 | 74%26% | ||||
5:00 PM  Missouri MIZ 155  Oklahoma OU 156 | +7.5 -7.5 | +7.5 -7.5 | +7.5-110 -7.5-105 | 62%38% | ||||
5:00 PM  Miami (FL) MIA 151  VA Tech VT 152 | -15.5 +15.5 | -17.5 +17.5 | -17.5-110 +17.5-105 | 60%40% | ||||
5:00 PM  Samford SAM  Texas A&M TA&M | N/A N/A | |||||||
5:00 PM  Tulsa TLSA 127  Army ARMY 128 | +9.5 -9.5 | +10 -10 | +9.5-102 -10.5-105 | 58%42% | ||||
+3.5 -3.5 | +3.5 -3.5 | +3.5-105 -3.5-110 | 76%24% | |||||
5:00 PM  Kansas KU 195  Iowa State ISU 196 | +3.5 -3.5 | +4.5 -4.5 | +4.5-112 -4-110 | 44%56% | ||||
5:00 PM  Louisville LOU 187  SMU SMU 188 | +1.5 -1.5 | +2.5 -2.5 | +3-113 -2.5-110 | 17%83% | ||||
5:00 PM  Rutgers RUT 119  Ohio State OSU 120 | +31.5 -31.5 | +31.5 -31.5 | +31.5-110 -31.5-108 | 52%48% | ||||
5:00 PM  Delaware DEL 133  Wake Forest WF 134 | +17.5 -17.5 | +17.5 -17.5 | +17.5-113 -17.5-105 | 60%40% | ||||
5:45 PM  Charlotte CHA 157  Georgia UGA 158 | +45.5 -45.5 | +43.5 -43.5 | +43.5-105 -43.5-110 | 91%9% | ||||
-9.5 +9.5 | -12.5 +12.5 | -12.5-105 +12.5-110 | 55%45% | |||||
6:00 PM  Baylor BAY 169  Arizona ARI 170 | +4.5 -4.5 | +6.5 -6.5 | +6.5-102 -7-105 | 43%57% | ||||
6:00 PM  Washington St WSU 139  JMU JMU 140 | +13.5 -13.5 | +13.5 -13.5 | +13.5-105 -14-105 | 7%93% | ||||
7:00 PM  Nevada NEV 167  Wyoming WYO 168 | +10 -10 | +6.5 -6.5 | +6.5-105 -6.5-110 | 49%51% | ||||
7:00 PM  E. Illinois EIL  Alabama BAMA | N/A N/A | |||||||
7:00 PM  Mercer MER  Auburn AUB | N/A N/A | |||||||
+4 -4 | +6.5 -6.5 | +6.5-107 -6.5-105 | 36%64% | |||||
7:00 PM  Ball State BALL 147  Toledo TOL 148 | +22.5 -22.5 | +27.5 -27.5 | +27.5-110 -27.5-105 | 58%42% | ||||
7:30 PM  Marshall MRSH 125  App State APP 126 | -3.5 +3.5 | -4.5 +4.5 | -4.5-110 +4.5-109 | 48%52% | ||||
8:00 PM  Liberty LIB 185  LA Tech LT 186 | -1.5 +1.5 | -1.5 +1.5 | -1.5-105 +1.5-110 | 32%68% | ||||
+4.5 -4.5 | +7 -7 | +6.5-104 -7-105 | 93%7% | |||||
8:00 PM  N. Mexico St NMSU 179  UTEP UTEP 180 | +2.5 -2.5 | +3 -3 | +3-102 -3-110 | 44%56% | ||||
8:00 PM  S. Florida USF 197  UAB UAB 198 | -18.5 +18.5 | -21.5 +21.5 | -21.5-108 +21.5-108 | 22%78% | ||||
8:00 PM  UConn UCONN 121  FL Atlantic FAU 122 | -7.5 +7.5 | -7.5 +7.5 | -7.5-102 +7-105 | 68%32% | ||||
8:30 PM  Jax State JVST 215  FIU FIU 216 | -1.5 +1.5 | -1.5 +1.5 | +1-113 +1.5-115 | 74%26% | ||||
-3 +3 | -1.5 +1.5 | -1.5-110 +2.5-110 | 65%35% | |||||
8:30 PM  Duke DUKE 145  UNC UNC 146 | PK PK | -6.5 +6.5 | -6.5-114 +6.5+100 | 46%54% | ||||
8:30 PM  USC USC 181  Oregon ORE 182 | +12.5 -12.5 | +9.5 -9.5 | +9.5-105 -8.5-115 | 64%36% | ||||
8:30 PM  E. Carolina ECU 205  UTSA UTSA 206 | -4.5 +4.5 | -2.5 +2.5 | -2.5-105 +2.5-108 | 8%92% | ||||
8:30 PM  Arkansas ARK 173  Texas TEX 174 | +10.5 -10.5 | +9 -9 | +9.5-110 -8.5-110 | 60%40% | ||||
8:30 PM  Kentucky UK 207  Vanderbilt VAN 208 | +7.5 -7.5 | +9.5 -9.5 | +9.5-105 -9.5-110 | 46%54% | ||||
8:30 PM  Michigan St MSU 203  Iowa IOWA 204 | +15.5 -15.5 | +16.5 -16.5 | +16.5-102 -17-108 | 55%45% | ||||
8:30 PM  Syracuse SYR 217  Notre Dame ND 218 | +34.5 -34.5 | +35.5 -35.5 | +35.5-110 -35.5-108 | 9%91% | ||||
8:45 PM  Tulane TULN 123  Temple TEM 124 | -6.5 +6.5 | -8.5 +8.5 | -7.5-115 +8-108 | 51%49% | ||||
9:00 PM  TCU TCU 159  Houston HOU 160 | PK PK | +1.5 -1.5 | +1.5-112 -1.5-102 | 42%58% | ||||
9:00 PM  Michigan MICH 143  Maryland UMD 144 | -11.5 +11.5 | -13.5 +13.5 | -14-105 +13.5-105 | 47%53% | ||||
9:00 PM  OK State OKST 129  UCF UCF 130 | +14.5 -14.5 | +14 -14 | +14-108 -14.5+100 | 47%53% | ||||
9:00 PM  K State KSU 163  Utah UTAH 164 | +1.5 -1.5 | +17.5 -17.5 | +17+100 -17.5-105 | 36%64% | ||||
9:00 PM  Georgia State GAST 211  Troy TROY 212 | +10.5 -10.5 | +11.5 -11.5 | +10.5-105 -11-110 | 46%54% | ||||
9:15 PM  Coastal Car CC 153  S. Carolina SC 154 | +24.5 -24.5 | +24.5 -24.5 | +24-105 -24.5-102 | 70%30% | ||||
9:30 PM  Furman FUR  Clemson CLEM | N/A N/A | |||||||
10:00 PM  LA-Monroe ULM 199  Texas St TXST 200 | +17.5 -17.5 | +17.5 -17.5 | +18.5-110 -17.5-110 | 50%50% | ||||
12:00 AM  Nebraska NEB 149  Penn State PSU 150 | +7.5 -7.5 | +9.5 -9.5 | +9.5-104 -9.5-110 | 34%66% | ||||
12:00 AM  New Mexico UNM 219  Air Force AFA 220 | -1.5 +1.5 | -3.5 +3.5 | -3.5-102 +3.5-110 | 94%6% | ||||
12:00 AM  Pittsburgh PITT 141  GA Tech GT 142 | +3.5 -3.5 | +2.5 -2.5 | +2.5-105 -2.5-110 | 29%71% | ||||
12:00 AM  Colorado St CSU 161  Boise State BOISE 162 | +17.5 -17.5 | +16.5 -16.5 | +16.5-109 -16.5-108 | 74%26% | ||||
12:30 AM  Tennessee TENN 137  Florida FLA 138 | +4 -4 | -4 +4 | -3.5-118 +4.5-115 | 30%70% | ||||
12:30 AM  North Texas UNT 193  Rice RICE 194 | -17.5 +17.5 | -18.5 +18.5 | -18.5-105 +18.5-110 | 66%34% | ||||
12:30 AM  Illinois ILL 191  Wisconsin WIS 192 | -10.5 +10.5 | -7.5 +7.5 | -7.5-108 +8-110 | 51%49% | ||||
12:30 AM  California CAL 171  Stanford STAN 172 | -5.5 +5.5 | -3 +3 | -3-108 +3.5-120 | 75%25% | ||||
12:45 AM  W. Kentucky WKU 209  LSU LSU 210 | +22.5 -22.5 | +22.5 -22.5 | +22.5-104 -22.5-110 | 18%82% | ||||
1:00 AM  BYU BYU 135  Cincinnati CIN 136 | +3.5 -3.5 | -2.5 +2.5 | -2.5-110 +2.5-106 | 64%36% | ||||
1:00 AM  Arizona St ASU 165  Colorado COLO 166 | -4.5 +4.5 | -7 +7 | -7-105 +6.5-102 | 67%33% | ||||
+1.5 -1.5 | +2.5 -2.5 | +2.5-105 -3-105 | 34%66% | |||||
+12.5 -12.5 | +12 -12 | +12.5-110 -12.5-104 | 21%79% | |||||
3:30 AM  Washington WASH 175  UCLA UCLA 176 | -9.5 +9.5 | -10.5 +10.5 | -10.5-105 +10.5-110 | 92%8% | ||||
-6 +6 | -7.5 +7.5 | +2.5-110 +7-105 | 50%50% | |||||
4TH 7:47  Akron AKR 103  Bowling Green BGSU 104 | +4.5 -4.5 | +2.5 -2.5 | +2.5-104 -2.5-108 | 80%20% | ||||
4TH 8:52  UMass MASS 101  Ohio OHIO 102 | +32.5 -32.5 | +20.5 -34 | +33.5-102 -34.5-105 | 19%81% |
NCAAF Projections for 2025-26: Spread, Moneyline & Over/Under Insights
Welcome to your one-stop source for the latest ncaaf projections for the 2025-26 college football season. Our expert projections cover spreads, moneylines, and totals, blended with advanced modeling and betting market signals to help you find edges and value before kickoff.
What Are NCAAF Projections?
“NCAAF projections” refer to forecasted odds (spreads, moneylines, over/unders) for every college football matchup — built by synthesizing statistical models, expert handicapping, and live betting market data. These projections estimate what sportsbooks “should” be offering, which then allows bettors to detect value when public or consensus lines deviate.
How We Build Projections for 2025-26
To generate our NCAAF projections this season, we combine:
- Power ratings and advanced metrics: Reviewing offense, defense, special teams, tempo, efficiency, recruiting impact, roster turnover from 2024 to 2025.
- Team news and injuries: Especially at key positions like quarterback. A QB injury or change in coaching staff triggers re-evaluation.
- Home-field advantage and rest/back-to-back weeks: Travel, bye weeks, and short weeks matter.
- Historical performance and trend analysis: How teams performed in similar matchups, under similar conditions.
- Live betting market data: consensus lines, sportsbooks’ odds, public betting percentages. Our models aim to spot “edges” when our projections differ meaningfully from current market lines.
What You’ll See in Our NCAAF Projections
For each game, we provide:
- Spread projection: Predicted margin between the two teams (how many points one is favored by).
- Moneyline projection: Odds for each team to win outright.
- Over/Under (Total): Predicted combined points scored by both teams.
- Edge: The difference (as a percentage) between our projection and the consensus/sportsbook line — this helps identify betting value.
- Grade: A letter grade (A-F) reflecting the strength of that edge; helps you quickly see which games to focus on.
Why 2025-26 Is Different
This season brings unique variables that are influencing NCAAF projections more than usual:
- The continued evolution of transfer portal usage means more roster turnover; projections now need to put greater weight on how well teams integrate new starters.
- Rule changes & officiating emphasis (passing/interference, targeting, etc.) that affect scoring trends and how defenses adjust.
- More parity in some conferences – there are fewer “guaranteed wins,” so projections are tighter and spread predictions often smaller.
- Increased data availability: wearable data, player usage, fatigue metrics are increasingly incorporated into projection models.
How to Use Projections in Betting
- Spot the edge: Compare our 2025-26 projections vs current sportsbook lines. An edge of +3.5% or higher often starts to look compelling.
- Respect key numbers: A spread of 6.5 vs. 7, or a total of 49.5 vs. 50.5, can matter significantly because of scoring patterns in football.
- Monitor news up to game day: Last-minute injuries or weather shifts can swing spreads or totals and affect value.
- Diversify bets: Don’t just pick spreads — sometimes moneylines or overs/unders offer better return, depending on matchups.
- Use power ratings: Our projections derive from power ratings that update weekly, reflecting latest performance, rest, injuries, momentum. Use these to compare teams even before lines drop.
Example: Sample Projections
Say the Georgia Bulldogs have a spread of -6.5 vs. the Florida Gators. In that situation, a spread bet on Georgia would cash if they won by a touchdown or more. A bet on Alabama at +6.5 would cash if they won the game outright or merely lost by six or fewer points.
Note that key numbers are important in projecting an edge in college football. Key numbers are just numbers that a game is likelier to land on because of the scoring in football: A 2-0 game is much less likely to occur than a 7-0 game. That means the difference between 6.5 and 7 on the spread is much more important than the difference between 12.5 and 13. The way we grade our NCAAF projections vs. the consensus accounts for these key numbers.
Key numbers are also vital for totals, or over/unders, which are bets on the combined point output in a game. For a new bettor, you'll see a total number posted at a sportsbook and you'll be able to bet the over or under. Say the Oregon Ducks vs. Oklahoma Sooners game has a total of 64 points: Bettors on the under would cash if the teams combined for 63 or fewer points; over bettors would win at 65 or more.
Key numbers are also important in totals betting because, again, scoring isn't by ones, twos, or threes like it is for, say, basketball. Since touchdowns are worth seven points apiece (assuming the extra point is made), total numbers in multiples of sevens and threes are more likely to occur.
You don't have to worry about key numbers in moneyline betting, which is a common wager type just on which team will win the game outright. Everything here depends on the likelihood of a team winning (the odds a book will post) vs. how likely our NCAAF projections say that team is to win.
It's easiest if you think about moneyline odds in terms of $10 or $100 increments. Say the Texas Tech Red Raiders are +250 on the moneyline vs. the Clemson Tigers, who are -290. If you bet $10 on Texas Tech and they won, you would receive $25 in profit. A bet on Clemson, who are favored, would require $29 bet to win $10 in the event of a victory.
Projections vs. Public Sentiment
Sometimes what our projections say diverges from what the public is betting. These misalignments can signal value:
- When public heavily backs the favorite, but our model’s projected spread is smaller.
- When underdogs get little attention but our model suggests they win outright with reasonable probability.
- When totals are inflated by marquee names or high-profile games, but underlying defense/offense metrics suggest lower scoring.
Stay Current: Weekly Updates & Trends
- Projections are refreshed weekly, especially when new stats, injuries, or reports come in.
- We track which teams are trending up or down — momentum matters.
- Bet monitoring: watch how sharp bettors are leaning, and where public money is going. These can influence line movement, sometimes creating last-minute value.
Final Word
If you're serious about getting an edge in college football betting, these NCAAF projections are essential. They don't predict upsets or guarantee wins — but they give you a probabilistic foundation to make smarter bets. Use them to find mismatches, exploit line inefficiencies, and avoid getting caught up in hype.
Updated for the 2025-26 season, our projections reflect the realities of roster shifts, scoring trends, and a tighter market. Bookmark this page, check it weekly, and let the numbers guide you.
