NCAAF Public Betting & Money Percentages
| Scheduled | Open | Best Odds | % of Bets | % of Money | Diff | Bets |
|---|---|---|---|---|---|---|
FREEMoney Percentages | ||||||
12:00 AM  Southern Miss USM 301  Troy TROY 302 | +9.5 -9.5 | +10-110 -10-108 | +5% | 297 | ||
11:00 PM  Jax State JVST 303  Kennesaw St KENN 304 | -2.5 +2.5 | -3.5-105 +3.5-110 | 217 | |||
11:30 PM  N. Mexico St NMSU 305  FIU FIU 306 | +4 -4 | +4-112 -3.5-110 | ||||
11:00 PM  Missouri St MOST 311  W. Kentucky WKU 312 | +2.5 -2.5 | +2.5-110 +0.5-109 | ||||
11:00 PM  Sam Houston SHSU 309  Liberty LIB 310 | +13.5 -13.5 | +13.5-109 -13-110 | ||||
11:30 PM  S. Florida USF 315  UTSA UTSA 316 | +6.5 -6.5 | +6.5+100 -7-105 | ||||
11:30 PM  S. Alabama USA 313  Arkansas St ARST 314 | +1.5 -1.5 | +1-109 -1-105 | ||||
11:00 PM  Florida St FSU 317  Louisville LOU 318 | +7.5 -7.5 | +6.5-110 -6-112 | ||||
+1.5 -1.5 | +3.5-108 -3.5-105 | |||||
1:00 AM  Iowa IOWA 319  Washington WASH 320 | +1.5 -1.5 | +2.5-105 -2.5-105 | ||||
1:00 AM  Wyoming WYO 321  San Jose St SJSU 322 | +5.5 -5.5 | +6.5-118 -6-110 | ||||
2:15 AM  Iowa State ISU 325  BYU BYU 326 | +14.5 -14.5 | +10-105 -10.5-102 | ||||
4:00 PM  Wake Forest WF 355  NC State NCST 356 | -2.5 +2.5 | -3-108 +2.5+102 | ||||
4:00 PM  UNC UNC 341  Pittsburgh PITT 342 | +4.5 -4.5 | +3.5-112 -3.5-104 | ||||
4:00 PM  UCF UCF 375  OK State OKST 376 | +9.5 -9.5 | +10.5-106 -10.5-108 | ||||
4:00 PM  Texas A&M TA&M 381  Missouri MIZ 382 | +1.5 -1.5 | +3.5-112 -2.5-110 | ||||
4:00 PM  Indiana IU 327  Nebraska NEB 328 | -8.5 +8.5 | -8.5-110 +9.5-105 | ||||
+6.5 -6.5 | +7-110 -7-110 | |||||
4:00 PM  Arizona ARI 351  West Virginia WVU 352 | -3.5 +3.5 | -3-105 +3-110 | ||||
4:00 PM  Tulane TULN 337  Army ARMY 338 | +6.5 -6.5 | +5.5-110 -5.5-110 | ||||
+34.5 -34.5 | +34.5-104 -34.5-110 | |||||
4:45 PM  S. Carolina SC 329  Florida FLA 330 | +14.5 -14.5 | +14-102 -14-109 | ||||
+5.5 -5.5 | +9.5-110 -8.5-110 | |||||
6:00 PM  Miami (OH) M-OH 371  UMass MASS 372 | N/A N/A | |||||
7:30 PM  Texas TEX 395  Oklahoma OU 396 | -6.5 +6.5 | -7.5-115 +9.5-110 | ||||
7:30 PM  UCLA UCLA 391  Oregon ORE 392 | +12.5 -12.5 | +12-110 -11.5-108 | ||||
7:30 PM  Charlotte CHA 405  North Texas UNT 406 | +23.5 -23.5 | +24.5-118 -24.5-102 | ||||
7:30 PM  VA Tech VT 393  California CAL 394 | -11.5 +11.5 | -10.5-110 +10.5-105 | ||||
7:30 PM  Illinois ILL 333  Michigan St MSU 334 | -1.5 +1.5 | -3.5+100 +3.5-113 | ||||
7:30 PM  Duke DUKE 365  GA Tech GT 366 | -5.5 +5.5 | -7-109 +7-105 | ||||
N/A N/A | ||||||
7:30 PM  Houston HOU 407  K State KSU 408 | +2.5 -2.5 | +2.5-110 -1.5-115 | ||||
7:30 PM  Stanford STAN 409  Notre Dame ND 410 | +35.5 -35.5 | +36.5-105 -35.5-110 | ||||
7:30 PM  E. Michigan EMU 353  Akron AKR 354 | -3.5 +3.5 | -5.5-110 +5.5-110 | ||||
7:30 PM  C. Michigan CMU 345  Ohio OHIO 346 | +3.5 -3.5 | +3.5-110 -3.5-110 | ||||
7:30 PM  Tulsa TLSA 401  Navy NAVY 402 | +4.5 -4.5 | +2.5+100 -2.5-112 | ||||
7:30 PM  Ole Miss MISS 397  Vanderbilt VAN 398 | -10.5 +10.5 | -10-113 +10.5-105 | ||||
7:30 PM  Buffalo BUFF 335  Toledo TOL 336 | +19.5 -19.5 | +19.5-110 -17.5-110 | ||||
7:45 PM  UConn UCONN 359  Temple TEM 360 | N/A N/A | |||||
8:00 PM  Rice RICE 369  E. Carolina ECU 370 | N/A N/A | |||||
8:15 PM  Maryland UMD 339  Ohio State OSU 340 | +37.5 -37.5 | +34.5-104 -35.5-110 | ||||
8:15 PM  Tennessee TENN 399  Arkansas ARK 400 | -14.5 +14.5 | -13.5-108 +13.5-110 | ||||
10:00 PM  San Diego St SDSU 411  Oregon St ORST 412 | +13.5 -13.5 | +16-110 -14.5-110 | ||||
11:00 PM  Coastal Car CC 347  Marshall MRSH 348 | +2.5 -2.5 | +2.5-110 -2.5-110 | ||||
11:00 PM  Nevada NEV 385  UTEP UTEP 386 | N/A N/A | |||||
11:00 PM  LSU LSU 349  Kentucky UK 350 | -10.5 +10.5 | -10.5+100 +10-105 | ||||
11:00 PM  UAB UAB 383  Memphis MEM 384 | +14 -14 | +15.5-110 -14.5-110 | ||||
11:00 PM  ND State NDSU 413  UNLV UNLV 414 | N/A N/A | |||||
11:30 PM  Air Force AFA 415  N. Illinois NIU 416 | N/A N/A | |||||
11:30 PM  USC USC 343  Penn State PSU 344 | +1.5 -1.5 | -1-108 +1.5-105 | ||||
11:30 PM  JMU JMU 373  GA Southern GASO 374 | -10 +10 | -9.5-110 +9.5-110 | ||||
11:30 PM  Georgia UGA 403  Alabama BAMA 404 | -2.5 +2.5 | -1.5-110 +2.5-115 | ||||
11:30 PM  Louisiana UL 377  LA Tech LT 378 | N/A N/A | |||||
11:30 PM  Syracuse SYR 357  Virginia UVA 358 | +6.5 -6.5 | +8.5-110 -8-110 | ||||
12:00 AM  Minnesota MINN 367  Purdue PUR 368 | -6.5 +6.5 | -3.5-105 +4-113 | ||||
2:15 AM  Kansas KU 387  Utah UTAH 388 | +14.5 -14.5 | +16.5-110 -14.5-105 | ||||
2:30 AM  Hawaii HAW 389  Arizona St ASU 390 | +17.5 -17.5 | +21.5-105 -21.5-110 | ||||
-10.5 +10.5 | -8-110 +8-108 | |||||
College football is one of the most bet-on sports in the United States, with billions wagered every season. As more states legalize sports betting and more bettors go online, NCAAF public betting continues to grow in popularity. Understanding how the public is wagering can help you identify potential edges and make smarter bets.
In this guide, we’ll break down public betting data, explain the difference between percentage of bets and percentage of money, and show how to use these insights to your advantage. Public betting percentage shows the share of bets placed on each side of a game, while money percentage shows the share of total dollars wagered — sharp bettors watch the gap between the two to spot value.
Percentages on this page reflect Action Network's tracked sportsbook data and are updated every 10 minutes on gameday. Figures below are illustrative examples; see the live odds table for current-week numbers.
What is NCAAF Public Betting?
NCAAF public betting data shows what share of bets and what share of money are being placed on each side of a college football game, based on real sportsbook activity we track across the industry.
NCAAF public betting refers to the wagers placed by the general betting population on college football games. Tracking public betting trends helps you see which teams or sides most bettors favor. However, the public isn’t always right, which is why professional bettors, also known as “sharps,” often take the opposite side.
By combining public betting data with money percentages and total bet volume, you can get a clearer picture of where the smart money is going.
For example, in Week 1 of the 2025 season, Ohio State opened as a 7.5-point favorite over Texas. Bets skewed toward Ohio State early, but by kickoff the line had moved to 7 despite the majority of bets still on the Buckeyes — a reverse line movement that pointed to sharp money on Texas. That kind of divergence between ticket count and line movement is exactly what public betting data is meant to surface.
Tips for Interpreting NCAAF Public Betting
Understanding how to interpret NCAAF public betting can provide an edge for college football bettors. Here's a handful of tips from our experts on interpreting NCAAF public betting data.
- Look for games where the delta between bet and money percentages is large — these often indicate professional interest.
- Avoid overvaluing data from games with small sample sizes of tracked bets.
- Use public betting data alongside other tools, such as line movement, team stats, and matchup analysis, to make informed decisions.
- Treat public betting data as one input among several, not a standalone system — it's most useful combined with injury news, weather, and situational trends (letdown spots, short weeks, revenge games).
- Responsible gambling note: public and money percentages describe crowd behavior, not guaranteed outcomes. Never bet more than you can afford to lose, and use them as a research tool rather than a betting system on their own.
A concrete example: An Action Network study found that teams receiving fewer than 45% of spread tickets since 2005 went 4,007-4,025-145 against the spread, a 49.9% win rate — essentially break-even, not a strong edge.
How to Use Public Betting and Money Percentages in College Football Betting
We house betting data from numerous U.S. online sportsbooks, including "percentage of bets" and "percentage of money" on every college football game and major bet type. Here's a look at a hypothetical Tennessee-Vanderbilt game.
- Percentage (%) of bets: The percentage of wagers on a particular side of a game. If Tennessee vs. Vanderbilt had 20,000 total bets that we've tracked and 12,000 of those are on the Vols, we'd say that Tennessee has received 60% of the bets.
- Percentage (%) of money: This is the same thing except for the money. If we know the total handle, we can then calculate the percentage of money on one side or another of a bet.
Combining those two factors can help college football bettors eye bets that might be worth making. The reason is because not all bets are the same amount of money. A single $10,000 sharp bet can outweigh hundreds of $10 public tickets — which is why money percentage often tells a different story than bet percentage.
Thus, the difference between the percentage of money and the percentage of bets can often highlight the games in which pro bettors are getting down action. And, well, they're professional and bet high amounts for a reason: It could be a good bet to take those sides.
It's also important to look at the total number of bets we're tracking, which you can see on the far right of the table above. The reason is that you don't want to put too much stock in a money vs. bet difference that has a small sample of bets. Utilizing all four factors -- bet percentage, money percentage, bet vs. money percentage (the delta), and total bets -- is recommended when using betting data to gain an advantage.
Why the Difference Matters
The difference between the percentage of bets and the percentage of money — sometimes called the “delta” — can highlight games where professional bettors are placing high-stakes wagers.
When bet % and money % diverge sharply, it signals sharp (professional) money on one side. For example, 40% of bets but 80% of money on a team suggests a small number of large wagers from sharps rather than broad public support.
- Scenario: 60% of bets on Tennessee but 80% of the money on them suggests sharp action favoring Tennessee over Vanderbilt.
- Sharps bet large amounts for a reason: it could indicate a more favorable line or value that casual bettors might overlook.
We track this kind of split throughout the week across the CFB slate. In the hypothetical example above, the line held steady from open to close even as public tickets piled up on Tennessee — the kind of resistance that often accompanies sharp money quietly balancing the book on the other side. Watching for that pattern, rather than reacting to a single day's number, is where public betting data earns its keep.
If you want to apply NCAAF public betting insights, claim these NCAAF betting promos and/or NCAAF prediction market promos.
