NCAAF Public Betting & Money Percentages
Scheduled | Open | Best Odds | % of Bets | % of Money | Diff | Bets |
---|---|---|---|---|---|---|
1:00 AM North Texas UNT 319 UTSA UTSA 320 | -2 +2 | PK-110 +1.5-110 | ||||
1:00 AM Wyoming WYO 317 Colorado St CSU 318 | +9.5 -9.5 | +9.5-108 -9.5-110 | ||||
2:00 AM UCLA UCLA 321 Washington WASH 322 | +8 -8 | +4.5-110 -4-110 | ||||
3:15 AM Houston HOU 323 Arizona ARI 324 | +3.5 -3.5 | +2-110 -1-113 | ||||
5:00 PM Texas TEX 333 Arkansas ARK 334 | -16 +16 | -12.5-105 +12.5-110 | ||||
5:00 PM Utah UTAH 391 Colorado COLO 392 | -7.5 +7.5 | +11.5-110 -11-105 | ||||
5:00 PM Clemson CLEM 347 Pittsburgh PITT 348 | -9.5 +9.5 | -11.5-110 +12-112 | ||||
5:00 PM Tulane TULN 345 Navy NAVY 346 | -6 +6 | -7-110 +6.5+102 | ||||
-31.5 +31.5 | -28.5-106 +28.5-105 | |||||
5:00 PM LA Tech LT 341 W. Kentucky WKU 342 | +14.5 -14.5 | +13-105 -13-110 | ||||
5:00 PM Liberty LIB 339 UMass MASS 340 | -14.5 +14.5 | -14.5+100 +14.5-110 | ||||
5:45 PM LA-Monroe ULM 357 Auburn AUB 358 | +23.5 -23.5 | +25-110 -25-108 | ||||
6:00 PM Coastal Car CC 327 Marshall MRSH 328 | +9.5 -9.5 | +9.5-112 -8.5-110 | ||||
6:30 PM Murray State MUR Kentucky UK | +37.5 -37.5 | +38.5-105 -38.5-110 | ||||
7:00 PM Mercer MER Alabama BAMA | +41.5 -41.5 | +41.5-105 -42.5-110 | ||||
7:00 PM FL Atlantic FAU 329 Temple TEM 330 | -1.5 +1.5 | +2.5-102 -2-110 | ||||
7:00 PM FIU FIU 365 Jax State JVST 366 | +13.5 -13.5 | +13-105 -12.5-112 | ||||
7:30 PM Michigan St MSU 397 Illinois ILL 398 | +2.5 -2.5 | +2.5-105 -2.5-112 | ||||
8:00 PM Syracuse SYR 371 California CAL 372 | +6.5 -6.5 | +10-110 -8.5-115 | ||||
8:00 PM Hawaii HAW 373 Utah State USU 374 | -3 +3 | -2.5-109 +2.5-105 | ||||
-13.5 +13.5 | -16-109 +16.5-110 | |||||
8:30 PM Louisville LOU 367 Stanford STAN 368 | -19.5 +19.5 | -21-106 +20.5-106 | ||||
8:30 PM Boston Col BC 375 SMU SMU 376 | +15.5 -15.5 | +19.5-110 -18.5-108 | ||||
8:30 PM Virginia UVA 385 Notre Dame ND 386 | +20 -20 | +22.5-105 -23.5-105 | ||||
8:30 PM S. Florida USF 337 Charlotte CHA 338 | -2.5 +2.5 | -2.5-110 +2.5-106 | ||||
8:30 PM Oregon St ORST 389 Air Force AFA 390 | -7 +7 | -3.5-105 +3-102 | ||||
8:30 PM Penn State PSU 355 Purdue PUR 356 | -28.5 +28.5 | -28.5-108 +28.5-105 | ||||
8:30 PM LSU LSU 393 Florida FLA 394 | -5.5 +5.5 | -3.5-110 +4-109 | ||||
9:00 PM Troy TROY 325 GA Southern GASO 326 | +7.5 -7.5 | +7.5-104 -7.5-110 | ||||
9:00 PM Nebraska NEB 401 USC USC 402 | +8.5 -8.5 | +7.5-109 -7-115 | ||||
9:00 PM Baylor BAY 343 West Virginia WVU 344 | -1.5 +1.5 | -1-110 +2.5-112 | ||||
9:00 PM JMU JMU 331 Old Dominion ODU 332 | -4.5 +4.5 | -2.5-110 +2.5-102 | ||||
9:15 PM Missouri MIZ 381 S. Carolina SC 382 | +15.5 -15.5 | +14+100 -14.5-104 | ||||
PK PK | +3-105 -3-105 | |||||
11:00 PM Rutgers RUT 353 Maryland UMD 354 | +3 -3 | +6-109 -5.5-108 | ||||
12:00 AM Arizona St ASU 395 K State KSU 396 | +7 -7 | +7.5-110 -7.5-105 | ||||
12:00 AM Southern Miss USM 377 Texas St TXST 378 | +26.5 -26.5 | +27.5-110 -27.5-105 | ||||
12:00 AM S. Alabama USA 359 Louisiana UL 360 | +8.5 -8.5 | +7.5-110 -7.5-105 | ||||
-14 +14 | -14.5-105 +14-107 | |||||
12:30 AM Tennessee TENN 379 Georgia UGA 380 | +16.5 -16.5 | +9.5-105 -10-106 | ||||
12:30 AM Oregon ORE 403 Wisconsin WIS 404 | -12 +12 | -13.5-110 +13.5-105 | ||||
12:45 AM N. Mexico St NMSU 405 Texas A&M TA&M 406 | +42 -42 | +38.5-106 -39-110 | ||||
1:00 AM UAB UAB 387 Memphis MEM 388 | +15.5 -15.5 | +16-110 -14.5-110 | ||||
1:00 AM Wake Forest WF 335 UNC UNC 336 | +9.5 -9.5 | +10.5-105 -11-110 | ||||
1:00 AM Cincinnati CIN 383 Iowa State ISU 384 | +8.5 -8.5 | +7.5-110 -7.5-108 | ||||
-10.5 +10.5 | -10-112 +10.5-105 | |||||
3:15 AM Kansas KU 363 BYU BYU 364 | +7 -7 | +2.5+100 -2.5-110 | ||||
3:30 AM San Diego St SDSU 407 UNLV UNLV 408 | +18.5 -18.5 | +20.5-105 -21-108 | ||||
+10.5 -10.5 | +14.5-105 -14.5-105 | |||||
Final - OT Ball State BALL 305 Buffalo BUFF 306 | +5.5 -5.5 | +3.5-110 -3.5-108 | ||||
+7.5 -7.5 | +9.5-105 -9.5-110 | |||||
+30.5 -30.5 | +30.5-106 -30.5-110 | |||||
+11.5 -11.5 | +10.5-110 -10.5-110 | |||||
+18.5 -18.5 | +14-110 -14.5+100 | |||||
-11 +11 | -15.5-110 +16.5-110 |
Because of its popularity and sheer volume of games, there are fewer sports in the world that have as much money bet on them every year than college football. That will only continue to grow, too, as sports betting works itself into the mainstream and more states legalize betting and come online.
With more public money entering the market, there's more opportunities to spot edges on bets using The Action Network's data and tools.
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.
- Percentage (%) of bets: The percentage of wagers on a particular side of a game. For example, 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. Some bettors might place just $10 on a game, while professional bettors -- sometimes called "sharps" -- might wager $10,000.
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 profitable 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 because 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.