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Free College Football Expert and Computer Picks For Every Game Sept. 30, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.74 |
+2.5 -105 |
o56.5 -114 |
+120 |
|
|
30.31 |
-2.5 -108 |
u57.5 -110 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.38 |
+1.5 -110 |
o57.5 -108 |
+100 |
|
|
29.37 |
-1.5 +100 |
u58.5 -118 |
-115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.25 |
-7.5 +100 |
o49.5 -110 |
-275 |
|
|
22.11 |
+7.5 -112 |
u50.5 -115 |
+240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.47 |
+3.5 -114 |
o54.5 -115 |
+140 |
|
|
29.08 |
-3.5 +100 |
u55.5 -120 |
-162 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.55 |
+0.0 -148 |
o45.0 -112 |
-135 |
|
|
21.99 |
+0.0 +118 |
u45.5 -108 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.57 |
-6.5 -106 |
o50.5 -105 |
-230 |
|
|
23.64 |
+6.5 +100 |
u51.5 -117 |
+210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.85 |
+19.5 -114 |
o49.5 -108 |
+1000 |
|
|
33.99 |
-19.5 -106 |
u49.5 -105 |
-1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.98 |
+13.5 -114 |
o53.5 -110 |
+450 |
|
|
34.18 |
-13.5 -105 |
u54.5 -115 |
-520 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.93 |
-5.5 -108 |
o43.5 +100 |
-210 |
|
|
20.31 |
+5.5 -110 |
u43.5 -108 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.76 |
-20.5 -120 |
o47.5 -105 |
-1650 |
|
|
13.35 |
+20.5 +105 |
u47.5 -108 |
+1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.53 |
+21.5 -120 |
o55.5 -102 |
+950 |
|
|
38.14 |
-21.5 +100 |
u55.5 -110 |
-1408 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.54 |
+3.5 -115 |
o45.5 -114 |
+142 |
|
|
26.17 |
-3.5 +105 |
u46.5 -105 |
-152 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.63 |
-5.5 -115 |
o59.5 -110 |
-225 |
|
|
28.79 |
+5.5 -105 |
u60.5 -110 |
+190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.53 |
+12.5 -110 |
o51.5 -102 |
+360 |
|
|
32.97 |
-12.5 -105 |
u52.0 -114 |
-425 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.92 |
+3.5 -110 |
o52.5 -110 |
+145 |
|
|
28.36 |
-3.5 +105 |
u53.5 -112 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.42 |
+10.5 -115 |
o43.5 -108 |
+325 |
|
|
27.14 |
-10.5 +100 |
u43.5 -110 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.35 |
+25.5 -125 |
o50.5 -115 |
+1500 |
|
|
39.74 |
-25.5 +100 |
u51.5 -118 |
-2500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.33 |
-13.5 -110 |
o46.5 -110 |
-599 |
|
|
17.03 |
+13.5 +100 |
u47.5 -115 |
+510 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
37.06 |
-19.5 -108 |
o51.5 -110 |
-1200 |
|
|
16.96 |
+19.5 -108 |
u52.5 -115 |
+900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.44 |
+6.5 -105 |
o46.5 -118 |
+210 |
|
|
26.18 |
-6.5 -109 |
u47.5 -110 |
-240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.56 |
-3.5 -108 |
o58.5 -110 |
-170 |
|
|
29.33 |
+3.5 -105 |
u59.0 -114 |
+160 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.58 |
-2.5 -125 |
o50.5 -108 |
-150 |
|
|
24.04 |
+2.5 +105 |
u51.0 -110 |
+140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.56 |
-4.5 -120 |
o56.5 -112 |
-205 |
|
|
26.99 |
+4.5 +100 |
u57.5 -118 |
+175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.11 |
+2.5 +100 |
o52.5 -110 |
+125 |
|
|
27.36 |
-2.5 -109 |
u53.5 -110 |
-134 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.60 |
+18.5 -106 |
o45.5 -105 |
+850 |
|
|
32.05 |
-18.5 -108 |
u45.5 -108 |
-1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.11 |
+6.5 -110 |
o48.5 -110 |
+210 |
|
|
27.90 |
-6.5 +100 |
u49.5 -114 |
-225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.57 |
+7.5 -120 |
o54.0 -110 |
+240 |
|
|
31.50 |
-7.5 +100 |
u54.5 -109 |
-275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.56 |
+13.5 -105 |
o42.5 -110 |
+480 |
|
|
29.90 |
-13.5 -105 |
u44.5 -120 |
-549 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
37.03 |
-19.5 -115 |
o52.5 -110 |
-1400 |
|
|
17.10 |
+19.5 -105 |
u53.5 -110 |
+1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.21 |
-2.5 -110 |
o51.5 -105 |
-135 |
|
|
24.47 |
+2.5 +100 |
u51.5 -110 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.32 |
-14.0 -115 |
o45.5 -108 |
-600 |
|
|
16.73 |
+14.0 -105 |
u46.5 -115 |
+520 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.56 |
+2.5 -110 |
o51.5 +100 |
+115 |
|
|
28.21 |
-2.5 +100 |
u51.5 -107 |
-121 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.24 |
+18.5 -110 |
o55.5 -110 |
+900 |
|
|
39.19 |
-18.5 -105 |
u56.5 -110 |
-1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.80 |
+23.5 -110 |
o48.5 -112 |
+1300 |
|
|
37.36 |
-23.5 -110 |
u49.5 -115 |
-1800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.89 |
+14.5 -108 |
o52.0 -113 |
+500 |
|
|
34.74 |
-14.5 +100 |
u52.5 -110 |
-649 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.96 |
+10.5 -115 |
o61.5 -109 |
+335 |
|
|
36.35 |
-10.5 -105 |
u62.5 -105 |
-360 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.64 |
+3.0 -104 |
o53.0 -110 |
+126 |
|
|
29.51 |
-3.0 -117 |
u54.5 -125 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.93 |
-6.5 -110 |
o61.5 -110 |
-225 |
|
|
27.85 |
+6.5 -105 |
u62.5 -115 |
+205 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.64 |
+14.5 -120 |
o50.5 -110 |
+500 |
|
|
33.45 |
-14.5 +100 |
u50.5 -105 |
-600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.26 |
+14.5 -115 |
o56.5 -110 |
+500 |
|
|
36.66 |
-14.5 +100 |
u57.5 -106 |
-599 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.12 |
-5.5 -125 |
o47.5 -105 |
-230 |
|
|
21.35 |
+5.5 +100 |
u47.5 -104 |
+200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.86 |
-1.5 -115 |
o53.5 -110 |
-125 |
|
|
25.30 |
+1.5 -105 |
u54.5 -110 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.82 |
-11.5 -108 |
o55.5 -108 |
-450 |
|
|
22.58 |
+11.5 -107 |
u56.5 -115 |
+410 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.17 |
+10.5 -115 |
o58.5 -106 |
+320 |
|
|
33.72 |
-10.5 +100 |
u59.0 -115 |
-360 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.91 |
-16.5 -112 |
o47.5 -109 |
-800 |
|
|
15.53 |
+16.5 -104 |
u48.5 -120 |
+600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.83 |
-10.5 -115 |
o50.5 -105 |
-450 |
|
|
18.40 |
+10.5 -105 |
u50.5 -108 |
+380 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.39 |
+20.5 -110 |
o51.5 -107 |
+1050 |
|
|
35.55 |
-20.5 -108 |
u51.5 -110 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.92 |
+6.5 -105 |
o48.0 -110 |
+205 |
|
|
28.89 |
-6.5 -110 |
u49.5 -115 |
-235 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.49 |
-2.5 -105 |
o47.5 -104 |
-125 |
|
|
23.75 |
+2.5 -110 |
u47.5 -110 |
+113 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
40.76 |
-23.5 -120 |
o55.5 -110 |
-2200 |
|
|
16.69 |
+23.5 -105 |
u56.5 -115 |
+1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.58 |
+6.5 +100 |
o47.5 +100 |
+210 |
|
|
27.78 |
-6.5 -110 |
u48.0 -115 |
-230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.97 |
+2.5 -110 |
o45.5 -110 |
+110 |
|
|
23.23 |
-2.5 -105 |
u46.5 -115 |
-125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.35 |
-3.5 -120 |
o58.5 -115 |
-188 |
|
|
27.84 |
+3.5 +100 |
u59.5 -110 |
+160 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.87 |
+4.5 -110 |
o48.5 -110 |
+165 |
|
|
27.48 |
-4.5 +100 |
u49.5 -112 |
-178 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.88 |
+7.5 -120 |
o55.0 -114 |
+235 |
|
|
31.21 |
-7.5 +105 |
u55.5 -110 |
-260 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.88 |
+3.0 -112 |
o51.5 -105 |
+125 |
|
|
26.63 |
-3.0 -105 |
u51.5 -110 |
-142 |
This game should have a nice offensive rhythm to it. These programs rank 13th and 16th in seconds per play through four games while ranking in the 100s in opposing yards per game on defense (NMSU 101st at 423 ypg, WKU 132nd at 497.3 ypg). Yes, the Hilltopers have struggled offensively, but two of their four games came against the elite defenses of Georgia and Indiana. This is a coin-flip contest that should see the ball moving in both directions.
North Texas has scored 44+ points in three of its four games, but those came against three defenses ranked 90th or worse by SP+. Tulsa is ranked 60th and has held three of four opponents to 17 or fewer, including Oklahoma State. It's not just about the Golden Hurricanes' defense, either. Their offense lends well to limiting opponents because it takes a ball-control approach, running just 63.7 plays per game, the 104th most in FBS.
Tulsa has one of the best defenses in the Group of Six (60th by SP+) and an offense that limits opponents' possessions by running the 104th-most plays per game in the country (63.7). That's helped Tulsa hit the Under in all four games this season and should help the Golden Hurricanes limit North Texas' high-powered attack. UNT's defense is underrated, too, and held UNLV to just six points.
The Penn State vs. Northwestern matchup brings plenty of intrigue, with the Nittany Lions looking to bounce back after last week’s loss to Wisconsin. Meanwhile, Northwestern enters 2-1 straight up and 3-0 against the spread, with wins over South Dakota State and Colorado before a narrow loss to No. 6 Indiana. The Wildcats have looked strong early in the season and should have plenty of energy playing in front of their home crowd at brand-new Ryan Field. Establishing the run will be key for Northwestern, especially after recording just 32 rushing yards against Indiana. If the Wildcats can find success on the ground, they could keep this Big Ten battle competitive.
This will be Northwestern’s lowest total of the season, while Penn State’s lowest came last week against Wisconsin at 43.5, with that game still producing 44 points. The Wildcats are 3-0 to the over, while the Nittany Lions are 2-2. Although the samples are small, Northwestern has consistently shown an ability to move the ball. Meanwhile, Marshall, Temple and Buffalo combined for just 22 points against Penn State’s defense. If Northwestern can reach 20 points, there is a strong path for this matchup to clear 46.5.
While Michigan is coming off a walk-off loss to Iowa and Minnesota just beat Washington, the Wolverines have dominated the Little Brown Jug series. Michigan is 44-4 against Minnesota since 1968, and the Wolverines have covered in 9 of the last 12 matchups. I'm expecting Kyle Whittingham to have Michigan motivated to bounce back, and for Gophers QB Drake Lindsey to struggle against this defense. I like the Wolverines to cover -5.5 or better.
North Carolina has not faced anything close to the talent level of the Fighting Irish defense. The Tar Heels scored 20 points against Clemson, but 14 came in the first quarter before they were shut out over the final three quarters.
Now, they face a Notre Dame defense that ranks No. 1 in points allowed per game, surrendering just 8.3 points through the first few weeks of the season. The Fighting Irish also rank No. 1 in yards allowed, giving up a hair below 200 per game.
Any scoring in this matchup should come courtesy of the blue and metallic gold.
Notre Dame should have no trouble staying focused with Stanford and BYU still ahead on the schedule, while North Carolina enters off a bye following its loss to Clemson. Although the Tar Heels have improved significantly under Bill Belichick, they face a much tougher test against one of the nation’s elite defenses. Notre Dame has dominated defensively this season and should be able to control the game from start to finish. Expect a low-scoring matchup, with the Fighting Irish limiting North Carolina’s offense and creating enough separation to cover the 21.5-point spread.
One of the great mysteries of college football is Missouri's ability to stay ranked despite almost always lacking quality wins. Mizzou is 7-20 against AP Top-25 opponents since 2020 (including 5-8 at home) and is also 0-16 against SEC teams that go on to finish the season with a winning record in SEC play. Meanwhile, Jon Sumrall has the Gators rolling again and is coming off a 52-28 win over Ole Miss, in which they rumbled for 300+ yards on the ground. I expect that level to travel on Saturday.
I don't think the market can catch up with this Florida offense, who I think has the best offense in the country. In their three games vs FBS opponents, they've gone over the total by an average of 26 PPG! On the other side, I like Missouri's quarterback and I expect their offense to be able to score well into the 20s, maybe even the 30s.
Ohio State needs a quality win after its Week 2 loss to Texas, and a road matchup against Iowa presents that opportunity. The Hawkeyes are coming off an outright win over Michigan, but were outgained by 144 yards and only rushed for just 58 yards. While Kinnick Stadium is one of the toughest environments in college football, Ohio State has the most well-rounded and talented offense Iowa has faced this season. With the Buckeyes looking to make a statement and Iowa potentially riding high after its upset win, Ohio State should be able to take care of business. If you can get -13.5, snag it!
This is a big road spread for Ohio State, with GameDay on campus for Iowa, but I like the Buckeyes at -13.5 or better. The Hawkeyes are coming off a jaw-dropping win and don't match up well with Ohio State. Led by Julian Sayin and Jeremiah Smith, Ohio State's offense ranks No. 4 in EPA per pass, while Iowa's defense ranks just 66th. Defensively, the Buckeyes' secondary is the toughest Hank Brown will see all season, and Iowa's inability to run the ball is a problem.
Washington's defense has been stingy, allowing just 16.8 ppg on 289.3 total yards per game. The defensive front (7.0 TFLs per game, third in stuff rate) could present issues, and USC can injury concerns at WR with Trent Mosley and Corey Simms absent against Oregon and Tanook Hines at far less than 100%.
USC hasn't proven enough to be deserving of a two-score spread against a game conference opponent, so I'd play Washington down to +7.5. The Trojans are much worse defensively (108th in EPA per play, 134th in PFF's tackling grade) than Washington (10th in EPA per play), and therefore the Huskies warrant a play as the underdog.
Miami vs. Clemson is one of the biggest matchups on the Week 5 slate, and I’m backing the Hurricanes to cover the 16.5-point spread. Clemson is coming off a 24-10 win over California after traveling across the country, and now the Tigers face a much tougher test against the No. 4 team in the country. Miami has little room for error as it aims for another College Football Playoff berth while playing a relatively easy schedule. Clemson will be the toughest opponent the Hurricanes have faced this season, but Miami should have a significant talent advantage. I’m comfortable taking Miami up to 20.5.
Regardless of the weather, Miami's ground attack will have a field day against a Clemson defense that has struggled to stop the run (130th in success rate) thanks largely to an outgunned defensive front (135th in line yards).
Boise State is the highest-rated Group of Six school in my power rankings. However, it didn’t cover as large a home favorite against South Dakota a couple of weeks ago. It’s tough getting a ton of margin consistently when Boise State runs a slow tempo that ranks No. 131 in plays per minute on offense. Finally, it is hard to cover three touchdowns when Utah State is only allowing 22 points on defense this year.
Army could easily be 3-0 entering this game but blew a 10-point lead with five minutes left against South Florida in Week 2. South Florida completed a 38-yard touchdown pass on fourth down in the final seconds. What would this line be if that pass wasn’t completed? My hypothesis is at least -3 and likely -3.5. I think Louisiana Tech’s statistical profile is too much influenced by an 80-6 win over Northwestern State in Week 1. Northwestern State ranks No. 123 (out of 128) in my FCS power rankings.
I think this will close at 4.5, maybe even 5, so let's get infront of this. What I like most about this for Arizona State is the spot. They're coming off a bye and they haven't been at home in a while. Statistically, Arizona State is better in yards per play margin, despite the fact that they've played a tougher schedule.
San Jose State has caught my attention after playing USC extremely well in Week 0, and quarterback Luke Weaver could have another strong performance against Hawaii.
The Rainbow Warriors return home after a 27-10 loss to Wyoming, but their demanding travel schedule continues with a trip to Arizona to face Arizona State looming next week.
Hawaii’s defense has also shown plenty of weaknesses, allowing 8.0 yards per pass while ranking 104th in rushing yards allowed per game. With Weaver showing he can play against quality defenses, he should have opportunities to move the ball effectively once again.
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.
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.