Free College Football Expert and Computer Picks For Every Game Aug. 27, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
18.59 |
+9.5 -110 
|
o46.5 -105 
|
+300 
|
|
28.65 |
-9.5 -105 
|
u50.5 -115
|
-250
|
North Carolina
TCU
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
10.54 |
+39.5 -111 
|
o60.5 -110 
|
+10000 
|
|
49.46 |
-39.5 -105
|
u61.5 -114
|
-10000
|
San Jose State
USC
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
23.67 |
+4.5 -110
|
o52.5 -110
|
+164
|
|
29.02 |
-4.5 +100
|
u54.5 -110
|
-135
|
NC State
Virginia
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
20.42 |
+10.0 -112
|
o46.5 -109
|
+225
|
|
28.74 |
-10.0 -108
|
u47.0 -115
|
-250
|
JSU
ND State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
23.23 |
+10.5 -120
|
o53.5 -110
|
+310
|
|
31.88 |
-10.5 -106
|
u54.5 -118
|
-350
|
Sacramento State
Eastern Michigan
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.98 |
+4.5 -113
|
o48.5 -110
|
+170
|
|
26.01 |
-6.5 +115 
|
u49.5 -113
|
-185
|
Hawai'i
Stanford
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
11.29 |
+32.5 -108 
|
o52.5 -105
|
+4500
|
|
42.17 |
-32.5 -105
|
u54.0 -112
|
-9000
|
New Mexico State
Florida State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
26.62 |
+4.5 -113
|
o56.0 -110
|
+160
|
|
31.05 |
-4.5 -105
|
u56.5 -110
|
-185
|
Memphis
UNLV
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
12.01 |
+30.5 -109
|
o52.5 -112
|
+3500
|
|
41.89 |
-30.5 -110
|
u53.5 -110
|
-9000
|
UMass
Rutgers
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
12.82 |
+24.5 -115
|
o48.5 -105
|
+1500
|
|
36.51 |
-24.5 -105
|
u48.5 -108
|
-2200
|
Akron
Wake Forest
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.83 |
+7.0 -110
|
o50.5 -114
|
+215
|
|
29.77 |
-7.0 -110
|
u51.0 -110
|
-235
|
Colorado
Georgia Tech
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
14.71 |
+28.5 -110
|
o56.0 -110
|
+2500
|
|
43.25 |
-28.5 -105
|
u57.5 -115
|
-4000
|
UAB
Illinois
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
20.34 |
+10.5 -114
|
o49.0 -112
|
+340
|
|
28.57 |
-10.5 -105
|
u49.5 -110
|
-375
|
Toledo
Michigan State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
4.64 |
+42.0 -111
|
o49.5 -114
|
+15000
|
|
45.66 |
-42.0 -105
|
u50.5 -108
|
-100000
|
UTEP
Oklahoma
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.68 |
+6.5 -105
|
o52.5 -105
|
+210
|
|
30.80 |
-6.5 -110
|
u52.5 -105
|
-245
|
Liberty
James Madison
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
13.46 |
+24.5 -110
|
o47.5 -108
|
+1400
|
|
35.20 |
-24.5 -110
|
u47.5 -105
|
-1800
|
Ohio
Nebraska
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
14.21 |
+20.5 -104
|
o50.5 -110
|
+1000
|
|
35.49 |
-20.5 -110
|
u51.5 -115
|
-1200
|
Oregon State
Houston
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
13.33 |
+29.0 -110
|
o53.5 -115
|
+3000
|
|
39.87 |
-29.0 -110
|
u54.5 -108
|
-5000
|
East Carolina
Alabama
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
9.77 |
+41.5 -110
|
o55.5 -108
|
+8000
|
|
49.17 |
-41.5 -109
|
u55.5 -105
|
-50000
|
North Texas
Indiana
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
17.85 |
+22.0 -110
|
o56.5 -110
|
+1100
|
|
38.24 |
-22.0 -110
|
u56.5 -105
|
-1200
|
Coastal Carolina
West Virginia
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
16.66 |
+16.5 -105
|
o49.5 -110
|
+600
|
|
33.78 |
-16.5 -108
|
u50.5 -110
|
-752
|
Miami (OH)
Pittsburgh
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
0.83 |
+50.5 -108
|
o56.5 -105
|
-- |
|
52.94 |
-50.5 -108
|
u57.0 -110
|
-- |
Ball State
Ohio State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
8.51 |
+36.5 -108
|
o52.5 -115
|
+8000
|
|
44.07 |
-36.5 -108
|
u54.0 -110
|
-50000
|
Kent State
South Carolina
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.86 |
+9.5 -110
|
o50.5 -110
|
+290
|
|
31.76 |
-9.5 -105
|
u51.5 -112
|
-350
|
Tulane
Duke
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
14.56 |
+25.0 -110
|
o51.5 -110
|
+1650
|
|
39.12 |
-25.0 -110
|
u52.5 -115
|
-2500
|
Boise State
Oregon
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
16.21 |
+30.5 -110
|
o60.0 -110
|
+2500
|
|
45.46 |
-30.5 -105
|
u60.5 -105
|
-7000
|
Texas State
Texas
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
15.95 |
+24.5 -110
|
o54.5 -110
|
+1600
|
|
40.29 |
-24.5 -105
|
u54.5 -110
|
-2500
|
Marshall
Penn State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
24.96 |
+7.5 -115
|
o59.0 -110
|
+240
|
|
32.76 |
-7.5 +100
|
u59.5 -110
|
-275
|
Baylor
Auburn
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.06 |
+7.5 -110
|
o51.5 -110
|
+250
|
|
30.82 |
-7.5 -105
|
u52.0 -110
|
-275
|
Boston College
Cincinnati
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
34.35 |
+14.5 -110
|
o60.5 -110
|
-599
|
|
22.82 |
+14.0 -105
|
u61.0 -110
|
+470
|
Oklahoma State
Tulsa
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
6.35 |
+32.0 -110
|
o45.5 -110
|
+5500
|
|
38.25 |
-32.0 -110
|
u46.5 -105
|
-100000
|
NIU
Iowa
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
20.60 |
+3.5 -114
|
o47.5 -110
|
+150
|
|
24.18 |
-3.5 -105
|
u48.5 -116
|
-164
|
Wyoming
Colorado State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.28 |
+13.5 -105
|
o54.0 -110
|
+440
|
|
36.21 |
-13.5 -109
|
u54.5 -105
|
-500
|
FIU Panthers
South Florida
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
7.32 |
+41.5 -115
|
o52.5 -114
|
+8000
|
|
47.06 |
-41.5 -102
|
u53.5 -110
|
-50000
|
Missouri State
Texas A&M
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
17.18 |
+17.5 -115
|
o53.0 -125
|
+650
|
|
34.75 |
-17.5 -105
|
u53.5 -110
|
-752
|
Sam Houston
Troy
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
10.22 |
+28.5 -116
|
o47.5 -110
|
+2400
|
|
36.14 |
-28.5 -116
|
u48.5 -115
|
-5000
|
Western Michigan
Michigan
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
13.43 |
+28.5 -105
|
o55.5 -110
|
+2200
|
|
42.42 |
-28.5 -109
|
u56.0 -110
|
-3600
|
Louisiana-Monroe
MS State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
19.49 |
+11.5 -118
|
o51.0 -110
|
+360
|
|
28.98 |
-11.5 -108
|
u51.5 -110
|
-400
|
Clemson
LSU
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
16.55 |
+27.5 -110
|
o59.5 -105
|
+1800
|
|
41.83 |
-27.5 -105
|
u59.5 -110
|
-3448
|
Florida Atlantic
Florida
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
17.34 |
+12.5 -110
|
o47.5 -108
|
+400
|
|
29.11 |
-12.5 -110
|
u47.5 -105
|
-450
|
Central Michigan
New Mexico
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
26.80 |
-2.5 -110
|
o52.5 -110
|
-130
|
|
23.73 |
+2.5 -105
|
u53.5 -110
|
+120
|
Western Kentucky
Nevada
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
25.90 |
+1.5 -110
|
o53.5 -110
|
-120
|
|
26.43 |
+1.0 -110
|
u54.0 -110
|
+105
|
UCLA
California
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
12.73 |
+24.0 -115
|
o50.5 -110
|
+1300
|
|
36.20 |
-24.0 -105
|
u51.0 -110
|
-1786
|
Washington State
Washington
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
11.90 |
+21.0 -115
|
o47.5 -110
|
+1000
|
|
34.47 |
-21.0 -108
|
u47.5 -105
|
-1408
|
Wisconsin
Notre Dame
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
24.06 |
+6.5 -105
|
o55.5 -108
|
+210
|
|
31.33 |
-6.5 -112
|
u55.5 -105
|
-235
|
Louisville
Mississippi
UNC
@
TCU
Sat, Aug 29 • 12:00 PM ET
UNC (+266)
Despite an embarrassing first season under NFL legend Bill Belichick, the North Carolina Tar Heels are an easy fade target to kick off the 2026 college football season. However, everything surrounding this matchup, including the travel, preparation and the looming possibility of visiting the Guinness Brewery, could lead to TCU overlooking them after demolishing the Tar Heels by 34 points at home nearly a year ago. North Carolina made some positive moves this offseason, including bringing in Bobby Petrino to spark the offense. Its defense was the team's saving grace last season and should be good enough to keep this game close. With weather potentially limiting scoring, the Tar Heels have an opportunity.
u47.5 (-120)
Not only is this the first game of the season for two offenses with transfer QBs, but it's overseas in a game that could have tough field conditions due to rain in Ireland. On top of that, both defenses are ranked Top 40 by SP+ heading into the season and the last three games at Aviva Stadium all hit an exact game total of 45 points.
SJSU
@
USC
Sat, Aug 29 • 3:00 PM ET
USC -38.5 (-111)
Lincoln Riley has a long history of running up the score against Group of Six schools, and San Jose State could be the latest victim. USC has dominated these matchups, averaging 65 points while winning by 46.6 points in three of the last four season openers against Group of Six opponents. With what should be one of USC's best defenses in years, expect the Trojans to put on a show this weekend.
Tanook Hines will likely lead the Trojans in receiving this season, but a Week 0 game with a 38.5-point spread when you returned to practice only a week ago isn't conducive to statistical dominance. Expect a snap count and to see plenty of playing time for star freshmen Trent Mosley, Kayden Dixon-Wyatt, Ethan Feaster) and talented backups (Zacharyus Williams).
NCST
@
UVA
Sat, Aug 29 • 3:30 PM ET
NCST (+166)
The North Carolina State Wolfpack always seem to have plenty of hype surrounding them, and this year is no different. While buying into the hype again could come back to bite us, returning star quarterback CJ Bailey gives plenty of reason to believe this team can take a step forward. The Wolfpack also add tight ends Vander Poog and Hunter Provience, who could provide Bailey with reliable safety blankets. Last season, NC State was one of three FBS teams with tight ends accounting for 80 targets and 10 touchdowns. Meanwhile, Virginia head coach Tony Elliott faces another major rebuild, creating concerns over familiarity and continuity early on.
JVST
@
NDSU
Sat, Aug 29 • 5:30 PM ET
Jacksonville State lost the nation's leading rusher, Cam Cook, and now plays a North Dakota State team making its FBS debut. As an FCS program, the Bison beat plenty of FBS teams, including several P4 programs. With multiple starters back on the O-line and D-line, NDSU should bully its way to a victory at the Fargo Dome.
CSUS
@
EMU
Sat, Aug 29 • 6:30 PM ET
Nick Devereaux became Kim's biggest-play target during the second half of last season, and that connection gets a favorable opening assignment.
Devereaux scored six of his seven touchdowns over Eastern Michigan's final five games and returns as the Eagles' leading receiver. Sacramento State upgraded its secondary through the portal, but most of that group is still light on meaningful college experience, while the pass rush is being rebuilt almost completely.
EMU -9.5 (-120)
The Eagles return fifth-year quarterback Noah Kim after he led the MAC with 2,817 passing yards, along with his top receiving options. The Hornets are the opposite of that in any conventional sense with a first-year coaching staff and a roster undergoing a total personnel overhaul. Eastern Michigan allowed only 11 sacks last season, while Sacramento State lost key pieces from an FCS defensive front that ranked sixth nationally in sacks.
EMU's awful 2025 run defense makes this edge smaller, but Sacramento State's effective rushing attack came from a different team. I'm siding with the known commodity that should be able to keep its offense on schedule.
HAW
@
STAN
Sat, Aug 29 • 7:00 PM ET
Another upset win against Stanford might not be in the cards, but Hawaii's passing attack can keep it close. The Rainbow Warriors return one of the best G6 QBs in Micah Alejado, who can take advantage of a Cardinal defense that ranked 107th in EPA per pass on defense last season.
HAW (+159)
Stanford returning 12 starters has people calling this a "revenge game," which is hilarious in the year of our lord 2026. This is Tavita Pritchard's first season as head coach, and while returning that many players is impressive, the landscape of college sports has changed dramatically. Meanwhile, Hawai'i is being disrespected despite having Micah Alejado back under center. Alejado was electrifying last season despite playing through an early-season ankle injury suffered in this matchup. If he is fully healthy and has improved his craft, losing star receiver Jackson Harris may not matter. With Stanford adding virtually nothing this offseason, Hawai'i is an attractive look.
NMSU
@
FSU
Sat, Aug 29 • 7:00 PM ET
u11.5 Team Total (-139)
New Mexico State has played two P4 opponents during Tony Sanchez's tenure, in combined to score 12 points in those games. The Aggies have finished ranked outside the Top 100 in PPG in both of Sanchez's seasons. And Florida State has a projected Top 30 defense by SP+ and should apply plenty of pressure on Furman transfer QB Trey Hedden.
Daniels has gone Over this number in 10 of his last 12 starts. He averaged 81.7 rushing yards in his three starts for Auburn last year and this is a soft matchup, as NMSU ranked 96th in PFF's rush defense grade and 106th in front-seven havoc and now checks in at 117th in returning defensive production.
MEM
@
UNLV
Sat, Aug 29 • 10:00 PM ET
o30.5 Team Total (-120)
In Dan Mullen's first season leading UNLV last year, the Rebels scored 31+ points in 10 of 13 games against non-P4 opponents. Under new head coach Charles Huff, Memphis' entire starting defense is made up of transfers, and that lack of continuity could be a problem early. Look for star UNLV running back Jai'Den Thomas to power the Rebels to plenty of points - he had UNLV ranked Top 10 nationally in EPA per rush last year.
UNLV finished 127th nationally in EPA/rush allowed and 93rd in rushing success rate allowed last season while surrendering 175.1 rushing yards per game. Memphis brings in Decker, whose Old Dominion offense finished 14th nationally in total offense behind a ground game.
Hayden has 1,185 career rushing yards from stops at Ohio State and Colorado and is expected to lead the Memphis backfield. With Memphis sorting through a quarterback competition, Decker has every reason to establish the run early. At 60.5, the matchup still favors the Over.
LSU
@
MISS
Sat, Sep 19 • 7:30 PM ET
MISS -1.5 (-110)
Former Mississippi head coach Lane Kiffin will take his new team, LSU, into Oxford. Considering the controversial way he left the Rebels prior to the playoffs last year, there might not be a more hostile environment in college football this season. It’s a game worthy of giving the home team more than three points of home-field advantage.
Our experts and prediction models are hard at work analyzing the data. Check back shortly for today's picks, or explore our Computer Picks for inspiration.
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The table above lets you know how profitable and helpful our sports betting computer picks have been across the last 100 college football games played. Our NCAAF computer picks use expert data to review odds and generate moneyline, spread, and total bets for every game throughout the season.
Listed in the table are unit details, which show the total profit or loss based on a bettor placing $100 on each of the last 100 college football picks made by the computer, on both the opening and closing lines.
Take advantage of these free college football picks before you wager any money at sportsbooks.
As human beings, we're bound to be biased with our picks and potentially fall into the trap of swinging with the public. With advanced stats growing in popularity and getting harder to track, college football computer predictions are starting to become more relied on.
Betting on a moneyline simply means you're picking the outright winner of the game, regardless of the scoring margin or total. If the team you choose wins, then your bet hits. Here's what it will look like over at your favorite sportsbook:
| Team | Moneyline |
|---|---|
| Alabama Crimson Tide | -120 |
| Missouri Tigers | +150 |
In this case, Alabama is favored to win the game as its moneyline odds have a minus sign (-) in front of the number. The favorites will have the minus sign present, and the underdogs will have a plus sign (+). Easy, right?
Betting the spread gives your bet a bit more breathing room. Here, you don't need to sweat out a team to win. Instead, you can wager on the point differential on the scoreboard.
Betting on the spread is a good idea when the moneyline profits aren't enticing. There's no point betting on Alabama as a heavy -1500 favorite over Missouri. But taking Missouri to keep the scoring margin within a certain frame will get you more bang for your buck.
| Team | Spread |
|---|---|
| Alabama Crimson Tide | -24.5 (-105) |
| Missouri Tigers | +24.5 (-115) |
In this example, the Tide are favored to dominate their game against Missouri, outperforming them by at least 24.5 points.
If Alabama does win by more than 25 points, that would mean the Crimson Tide covered the spread. But if the Tide won by just 20 points, then that would mean the Tigers "covered the spread" instead.
If you think the outcome of a game could flip in either direction, then an Over/Under is the way to go. This bet relies on the combined score from both teams and whether it goes Over or Under the point total listed at sportsbooks. Then, who cares who wins?
| Team | Total |
|---|---|
| Alabama Crimson Tide | O 52.5 (-110) |
| Missouri Tigers | U 52.5 (-110) |
In this example, oddsmakers have set the total score for the game at 52.5 points. The choice is now up to you. If you think the Tide and Tigers will score a combined total of more than 52.5 points, 53 points or more, then pick the Over. If you're thinking otherwise, then bet the Under, and the bet will hit if they score fewer than 52.5 points.
If the set number was a whole number like 52 points and the two teams score exactly that amount, then it is considered a push and you'd get your money back.
Use these additional college football betting resources to compare markets, find more picks, and research specific betting angles before placing a wager.
If you're ready to bet on college football picks, you first need to find the right sportsbook. Our betting sites guide offers secure banking, the best odds, bonuses, and reliable customer service options for you.
More than a dozen Covers college football picks are released throughout the week during the season, covering all the biggest games and matchups.
Covers provides free NCAA football picks covering many markets, including point spreads, totals, moneylines, player props, and more.
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