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 % |
|---|---|---|---|---|---|---|---|---|
5:00 PM Notre Dame ND 351 Pittsburgh PITT 352 | -12.5 +12.5 | -12.5 +12.5 | -12.5-105 +12.5-108 | 52%48% | ||||
5:00 PM Air Force AFA 321 UConn UCONN 322 | +10.5 -10.5 | +7.5 -7.5 | +7.5-110 -7.5-105 | 68%32% | ||||
-3 +3 | -2.5 +2.5 | -2.5-110 +2.5-104 | 46%54% | |||||
5:00 PM UTSA UTSA 323 Charlotte CHA 324 | -15.5 +15.5 | -17.5 +17.5 | -17.5-102 +16.5-105 | 56%44% | ||||
5:00 PM Arizona ARI 329 Cincinnati CIN 330 | +4.5 -4.5 | +6.5 -6.5 | +6.5-110 -5.5-110 | 39%61% | ||||
5:00 PM K State KSU 367 OK State OKST 368 | -19.5 +19.5 | -19.5 +19.5 | -19.5-110 +19.5-106 | 60%40% | ||||
5:00 PM Wisconsin WIS 343 Indiana IU 344 | +29.5 -29.5 | +28.5 -28.5 | +29.5-105 -28.5-110 | 36%64% | ||||
5:00 PM S. Carolina SC 377 Texas A&M TA&M 378 | +16.5 -16.5 | +17.5 -17.5 | +17.5-105 -17.5-105 | 42%58% | ||||
5:00 PM Michigan MICH 387 Northwestern NW 388 | -10 +10 | -10.5 +10.5 | -10.5-105 +10-105 | 39%61% | ||||
5:00 PM S. Florida USF 335 Navy NAVY 336 | -8.5 +8.5 | -10 +10 | -10.5-105 +11-110 | 54%46% | ||||
5:45 PM Arkansas ARK 379 LSU LSU 380 | +6.5 -6.5 | +4.5 -4.5 | +4.5-110 -4-115 | 62%38% | ||||
6:00 PM Oregon St ORST 361 Tulsa TLSA 362 | +1.5 -1.5 | -1.5 +1.5 | -1.5-110 +1.5-105 | 43%57% | ||||
+10.5 -10.5 | +11.5 -11.5 | +11-110 -11.5-102 | 27%73% | |||||
6:30 PM Tenn Tech TNT Kentucky UK | +24.5 -24.5 | +22.5 -22.5 | +22.5-110 -21.5-110 | 69%31% | ||||
7:00 PM North Texas UNT 383 UAB UAB 384 | -17.5 +17.5 | -17.5 +17.5 | -17.5-110 +17.5-105 | 68%32% | ||||
-4.5 +4.5 | -7.5 +7.5 | -7.5-110 +8-113 | 80%20% | |||||
8:00 PM UTEP UTEP 397 Missouri St MOST 398 | +4.5 -4.5 | +1.3 -1.3 | +5.5 -5.5 | A+ F | 13% -17.7% | +5.5-110 -5-110 | 56%44% | 51% 49% |
+12.5 -12.5 | +14.5 -14.5 | +14.5-110 -14.5-105 | 18%82% | |||||
8:30 PM Virginia UVA 339 Duke DUKE 340 | +5.5 -5.5 | +3.5 -3.5 | +3.5+100 -3.5-105 | 46%54% | ||||
8:30 PM Iowa IOWA 401 USC USC 402 | +6.5 -6.5 | +6.5 -6.5 | +6.5-105 -6.5-110 | 40%60% | ||||
8:30 PM Maryland UMD 385 Illinois ILL 386 | +15.5 -15.5 | +15.5 -15.5 | +15.5-105 -15.5-110 | 41%59% | ||||
8:30 PM NC State NCST 345 Miami (FL) MIA 346 | +14.5 -14.5 | +15.5 -15.5 | +14.5-105 -15.5-105 | 53%47% | ||||
8:30 PM Oklahoma OU 357 Alabama BAMA 358 | +12.5 -12.5 | +6.5 -6.5 | +6+100 -6-110 | 51%49% | ||||
8:30 PM S. Alabama USA 381 LA-Monroe ULM 382 | -3.5 +3.5 | -4.5 +4.5 | -4-110 +4.5-110 | 61%39% | ||||
8:30 PM App State APP 327 JMU JMU 328 | +19.5 -19.5 | +21 -21 | +20.5+100 -21-109 | 30%70% | ||||
8:30 PM UCF UCF 365 Texas Tech TTU 366 | +24.5 -24.5 | +23.5 -23.5 | +23.5-108 -23.5-109 | 58%42% | ||||
8:30 PM San Jose St SJSU 407 Nevada NEV 408 | -9.5 +9.5 | -9.5 +9.5 | -8.5-115 +9.5-104 | 61%39% | ||||
-7.5 +7.5 | -7 +7 | -7.5+100 +7-105 | 42%58% | |||||
+13.5 -13.5 | +13.5 -13.5 | +13.5-105 -13.5-108 | 13%87% | |||||
+6.5 -6.5 | +3 -3 | +3.5-114 -3.5+105 | 60%40% | |||||
8:30 PM GA Tech GT 337 Boston Col BC 338 | -16.5 +16.5 | -16.5 +16.5 | -16.5-105 +16.5-105 | 75%25% | ||||
9:00 PM Memphis MEM 331 E. Carolina ECU 332 | -1.5 +1.5 | +3 -3 | +3-105 -3-108 | 56%44% | ||||
9:00 PM FL Atlantic FAU 375 Tulane TULN 376 | +16.5 -16.5 | +17.5 -17.5 | +17.5-109 -17.5-105 | 55%45% | ||||
+39.5 -39.5 | +40.5 -40.5 | +40.5-108 -39.5-110 | 13%87% | |||||
9:30 PM UNC UNC 353 Wake Forest WF 354 | +6.5 -6.5 | +5.5 -5.5 | +6-115 -4.5-112 | 85%15% | ||||
10:00 PM Liberty LIB 411 FIU FIU 412 | -4 +4 | -2.5 +2.5 | -2.5-110 +2.5-105 | 35%65% | ||||
11:00 PM Coastal Car CC 319 GA Southern GASO 320 | +1.5 -1.5 | +3 -3 | +3-102 -3.5+100 | 34%66% | ||||
12:00 AM Utah UTAH 369 Baylor BAY 370 | -6.5 +6.5 | -9.5 +9.5 | -8.5-110 +9.5-112 | 40%60% | ||||
12:00 AM Utah State USU 413 UNLV UNLV 414 | +5.5 -5.5 | +6 -6 | +6.5-112 -6-110 | 47%53% | ||||
12:00 AM Delaware DEL 359 Sam Houston SHSU 360 | -6.5 +6.5 | -10.5 +10.5 | -10.5-110 +10.5-108 | 92%8% | ||||
12:00 AM Florida FLA 371 Ole Miss MISS 372 | +7.5 -7.5 | +11.5 -11.5 | +11.5-110 -11.5-105 | 29%71% | ||||
12:00 AM Purdue PUR 403 Washington WASH 404 | +15.5 -15.5 | +14.5 -14.5 | +16-113 -14.5-110 | 29%71% | ||||
12:30 AM VA Tech VT 341 Florida St FSU 342 | +10.5 -10.5 | +14 -14 | +13.5+100 -14-105 | 55%45% | ||||
12:30 AM Texas TEX 325 Georgia UGA 326 | +2.5 -2.5 | +6.5 -6.5 | +6.5-110 -6-112 | 53%47% | ||||
12:30 AM UCLA UCLA 349 Ohio State OSU 350 | +31.5 -31.5 | +34.5 -34.5 | +34-102 -34.5-105 | 36%64% | ||||
12:45 AM Mississippi St MSST 373 Missouri MIZ 374 | +6.5 -6.5 | +7 -7 | +6.5-104 -7-105 | 64%36% | ||||
-2.5 +2.5 | -3 +3 | -3-112 +3-105 | 26%74% | |||||
3:00 AM LA Tech LT 415 Washington St WSU 416 | +3.5 -3.5 | +8.5 -8.5 | +8.5-108 -7.5-115 | 31%69% | ||||
3:15 AM TCU TCU 393 BYU BYU 394 | +4.5 -4.5 | +2.2 -2.2 | +3 -3 | C+ F | 2.8% -7.3% | +3+100 -3-112 | 50%50% | 85% 15% |
3:30 AM Wyoming WYO 399 Fresno State FRES 400 | +5.5 -5.5 | +3 -3 | +3.5-114 -3-109 | 85%15% | ||||
+1.5 -1.5 | +2 -2 | +2.5-110 -1.5-115 | 50%50% | |||||
Final - OT Kent State KENT 303 Akron AKR 304 | +5.5 -5.5 | +7.5 -7.5 | +7.5-112 -7.5-103 | 38%62% | ||||
-2.5 +2.5 | +1.5 -1.5 | +3.5-120 -1.5-108 | 32%68% | |||||
-2.5 +2.5 | -1.7 +1.7 | -5.5 +5.5 | F A+ | -17.3% 12.8% | -5.5-110 +7.5-115 | 50%50% | 53% 47% | |
+3.5 -2.5 | +2.5 -2.5 | +2.5-105 -2.5-110 | 65%35% | |||||
-13.5 +13.5 | -9.5 +9.5 | -9.5-110 +13.5-115 | 38%62% | |||||
+9.5 -9.5 | +9.5 -9.5 | +9.5-108 -10.5+100 | 51%49% | |||||
-5.5 +5.5 | +1.5 -1.5 | +2-105 -1.5-110 | 62%38% | |||||
+21.5 -21.5 | +26.5 -26.5 | +26.5-108 -26.5-106 | 50%50% |
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.

