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 UTEP UTEP 301 Kennesaw St KENN 302 | +14.5 -14.5 | +10.5 -10.5 | +10.5-108 -10.5-105 | 70%30% | ||||
12:00 AM JMU JMU 303 Texas St TXST 304 | -8.5 +8.5 | -6.5 +6.5 | -7-105 +6.5+102 | 32%68% | ||||
11:30 PM Jax State JVST 305 Middle Tenn MTSU 306 | -6.5 +6.5 | -6.5 +6.5 | -6-110 +6.5-115 | 61%39% | ||||
12:00 AM FIU FIU 307 Missouri St MOST 308 | +6.5 -6.5 | +3.5 -3.5 | +3.5-105 -3.5-110 | 61%39% | ||||
11:30 PM Marshall MRSH 311 Coastal Car CC 312 | -2.5 +2.5 | -5.5 +5.5 | -5.5-105 +5.5-110 | 57%43% | ||||
11:30 PM Tulane TULN 313 UTSA UTSA 314 | -5.5 +5.5 | -3.5 +3.5 | -3.5-110 +4-112 | 24%76% | ||||
11:00 PM Memphis MEM 315 Rice RICE 316 | -17.5 +17.5 | -14 +14 | -14-108 +14-102 | 51%49% | ||||
11:30 PM UNC UNC 317 Syracuse SYR 318 | PK PK | +2.5 -2.5 | +2.5-114 -2-110 | 40%60% | ||||
12:00 AM Sam Houston SHSU 319 LA Tech LT 320 | +17.5 -17.5 | +16.5 -16.5 | +16.5-102 -17-108 | 41%59% | ||||
4:00 PM Vanderbilt VAN 349 Texas TEX 350 | +3.5 -3.5 | +1.5 -1.5 | +1.5-109 -1-110 | 46%54% | ||||
4:00 PM Duke DUKE 329 Clemson CLEM 330 | +2.5 -2.5 | +3.5 -3.5 | +3.5-105 -3.5-110 | 62%38% | ||||
4:00 PM Miami (FL) MIA 379 SMU SMU 380 | -1.5 +1.5 | -12.5 +12.5 | -12.5-107 +12.5-109 | 46%54% | ||||
4:00 PM UCF UCF 359 Baylor BAY 360 | +5.5 -5.5 | +4.5 -4.5 | +5.5-115 -4.5-110 | 55%45% | ||||
4:00 PM West Virginia WVU 381 Houston HOU 382 | +13.5 -13.5 | +13.5 -13.5 | +13.5-110 -13.5-108 | 71%29% | ||||
4:00 PM Rutgers RUT 351 Illinois ILL 352 | +10.5 -10.5 | +12.5 -12.5 | +12.5-105 -12.5-110 | 29%71% | ||||
4:00 PM UAB UAB 357 UConn UCONN 358 | +10.5 -10.5 | +11.5 -11.5 | +12.5-110 -11.5-110 | 45%55% | ||||
4:00 PM Penn State PSU 339 Ohio State OSU 340 | +3.5 -3.5 | +20.5 -20.5 | +20.5-105 -20.5-110 | 31%69% | ||||
4:00 PM Army ARMY 347 Air Force AFA 348 | -1.5 +1.5 | +1.5 -1.5 | +1.5-110 -1-108 | 18%82% | ||||
+1.5 -1.5 | +1.5 -1.5 | +2-110 -1.5-110 | 56%44% | |||||
4:00 PM Navy NAVY 387 North Texas UNT 388 | +4.5 -4.5 | +6.5 -6.5 | +6.5-110 -6-113 | 45%55% | ||||
5:00 PM Arizona St ASU 355 Iowa State ISU 356 | +1.5 -1.5 | +7 -7 | +7-105 -7-105 | 44%56% | ||||
6:00 PM E. Carolina ECU 323 Temple TEM 324 | -4.5 +4.5 | -4.5 +4.5 | -4.5-108 +4.5-105 | 35%65% | ||||
7:00 PM New Mexico UNM 371 UNLV UNLV 372 | +5.5 -5.5 | +4.5 -4.5 | +4.5-105 -4.5-105 | 85%15% | ||||
7:00 PM Louisville LOU 341 VA Tech VT 342 | -15.5 +15.5 | -10.5 +10.5 | -11.5-102 +10.5-110 | 37%63% | ||||
-13.5 +13.5 | -16.5 +16.5 | -17-110 +16.5-102 | 66%34% | |||||
7:30 PM Texas Tech TTU 375 K State KSU 376 | +4.5 -4.5 | -7 +7 | -7.5-102 +7-105 | 49%51% | ||||
7:30 PM Indiana IU 333 Maryland UMD 334 | -16.5 +16.5 | -21.5 +21.5 | -21.5-110 +21.5-105 | 39%61% | ||||
7:30 PM Louisiana UL 321 S. Alabama USA 322 | +6.5 -6.5 | +4.5 -4.5 | +4.5-114 -3.5-115 | 62%38% | ||||
+4.5 -4.5 | +3 -3 | +3-105 -3.5+100 | 35%65% | |||||
7:30 PM Notre Dame ND 327 Boston Col BC 328 | -29.5 +29.5 | -28.5 +28.5 | -28.5-110 +28.5-105 | 67%33% | ||||
+9.5 -9.5 | +8.5 -8.5 | +9.5-109 -9-110 | 36%64% | |||||
+17.5 -17.5 | +17.5 -17.5 | +17.5-108 -17.5-110 | 47%53% | |||||
7:30 PM Pittsburgh PITT 373 Stanford STAN 374 | -13.5 +13.5 | -14.5 +14.5 | -14.5-105 +14.5-108 | 50%50% | ||||
7:30 PM Delaware DEL 397 Liberty LIB 398 | +2.5 -2.5 | +3.5 -3.5 | +3-102 -3.5+100 | 36%64% | ||||
7:30 PM Georgia UGA 401 Florida FLA 402 | -7.5 +7.5 | -7.5 +7.5 | -7.5-104 +7-105 | 50%50% | ||||
7:45 PM Virginia UVA 369 California CAL 370 | -7.5 +7.5 | -4 +4 | -4-108 +4.5-113 | 24%76% | ||||
8:00 PM OK State OKST 391 Kansas KU 392 | +22.5 -22.5 | +24.5 -24.5 | +24.5-102 -24.5-110 | 24%76% | ||||
+6 -6 | +4.5 -4.5 | +4.5-105 -4.5-110 | 64%36% | |||||
+4.5 -4.5 | +4.5 -4.5 | +4.5-110 -4.5-108 | 68%32% | |||||
11:00 PM Arizona ARI 365 Colorado COLO 366 | -5.5 +5.5 | -4.5 +4.5 | -4.5-110 +5-110 | 55%45% | ||||
11:00 PM S. Carolina SC 395 Ole Miss MISS 396 | +12.5 -12.5 | +12.5 -12.5 | +12.5-106 -12-113 | 34%66% | ||||
11:00 PM Wyoming WYO 403 San Diego St SDSU 404 | +9.5 -9.5 | +10.5 -10.5 | +11-110 -10.5-110 | 40%60% | ||||
11:00 PM Purdue PUR 335 Michigan MICH 336 | +17.5 -17.5 | +21 -21 | +20.5-104 -21-108 | 63%37% | ||||
11:30 PM Oklahoma OU 325 Tennessee TENN 326 | +1.5 -1.5 | +3 -3 | +3-110 -3-108 | 52%48% | ||||
11:30 PM USC USC 393 Nebraska NEB 394 | -4.5 +4.5 | -6.5 +6.5 | -6-110 +6.5-109 | 49%51% | ||||
11:30 PM Kentucky UK 383 Auburn AUB 384 | +9.5 -9.5 | +10.5 -10.5 | +10.5-108 -10.5-108 | 62%38% | ||||
11:30 PM GA Tech GT 337 NC State NCST 338 | -4.5 +4.5 | -5.5 +5.5 | -5.5-110 +5.5-109 | 61%39% | ||||
11:30 PM Wake Forest WF 331 Florida St FSU 332 | +10.5 -10.5 | +9.5 -9.5 | +9.5-110 -9.5-107 | 39%61% | ||||
11:30 PM Washington St WSU 367 Oregon St ORST 368 | -2.5 +2.5 | -3.5 +3.5 | -3.5-110 +3.5-105 | 83%17% | ||||
12:00 AM Arkansas St ARST 377 Troy TROY 378 | +5.5 -5.5 | +7 -7 | +7-105 -7.5-102 | 30%70% | ||||
2:15 AM Cincinnati CIN 363 Utah UTAH 364 | +5.5 -5.5 | +9.5 -9.5 | +9.5-110 -8.5-110 | 57%43% | ||||
2:30 AM Hawaii HAW 405 San Jose St SJSU 406 | +2.5 -2.5 | +2.5 -2.5 | +2.5-110 -2.5-105 | 60%40% |
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.

