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Free College Football Expert and Computer Picks For Every Game Sept. 28, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.88 |
+2.5 -110 |
o55.0 -114 |
+110 |
|
|
29.20 |
-2.5 -105 |
u56.5 -105 |
-125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.09 |
+1.5 -110 |
o57.5 -110 |
+100 |
|
|
29.68 |
-1.5 +100 |
u57.5 -105 |
-115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.21 |
-6.5 -125 |
o49.5 -110 |
-270 |
|
|
21.95 |
+6.5 +105 |
u50.0 -110 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.96 |
+3.5 -114 |
o53.5 -107 |
+145 |
|
|
28.37 |
-3.5 -102 |
u53.5 -105 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.55 |
-2.5 -110 |
o45.5 -108 |
-135 |
|
|
21.99 |
+2.5 -102 |
u45.5 -108 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.36 |
-5.5 -115 |
o51.5 -115 |
-230 |
|
|
24.96 |
+5.5 -105 |
u52.5 -110 |
+205 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.72 |
+19.5 -110 |
o50.5 -110 |
+1000 |
|
|
34.74 |
-19.5 -105 |
u50.5 -107 |
-1205 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.98 |
+13.5 -115 |
o53.5 -110 |
+425 |
|
|
34.18 |
-13.5 -105 |
u53.5 -105 |
-500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.93 |
-5.5 -108 |
o43.0 -110 |
-200 |
|
|
20.31 |
+5.5 -105 |
u43.5 -108 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.85 |
-20.5 -120 |
o47.5 -105 |
-1800 |
|
|
13.00 |
+20.5 +105 |
u48.0 -114 |
+1150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.22 |
+21.5 -118 |
o56.5 -110 |
+1000 |
|
|
38.34 |
-21.5 +100 |
u57.5 -115 |
-1500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.33 |
+3.5 -112 |
o45.5 -110 |
+142 |
|
|
26.46 |
-3.5 -104 |
u46.5 -110 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.28 |
-5.5 -115 |
o59.5 -113 |
-220 |
|
|
28.35 |
+5.5 -105 |
u60.5 -108 |
+190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.83 |
+12.5 -110 |
o50.5 -115 |
+385 |
|
|
32.74 |
-12.5 -108 |
u51.5 -108 |
-441 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.45 |
+3.5 -110 |
o52.5 -108 |
+140 |
|
|
28.23 |
-3.5 +100 |
u53.5 -105 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.71 |
+10.5 -110 |
o43.5 -108 |
+330 |
|
|
27.43 |
-10.5 +100 |
u43.5 -105 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.00 |
+25.5 -125 |
o50.5 -125 |
+1800 |
|
|
40.33 |
-25.5 +105 |
u52.5 -110 |
-2500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.51 |
-13.5 -110 |
o46.5 -112 |
-599 |
|
|
17.36 |
+13.5 +100 |
u47.5 -110 |
+510 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
36.86 |
-19.5 -108 |
o51.5 -110 |
-1205 |
|
|
16.84 |
+19.5 -108 |
u52.5 -115 |
+900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.54 |
+6.5 -105 |
o47.0 -110 |
+200 |
|
|
25.78 |
-6.5 -105 |
u48.5 -115 |
-230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.19 |
+0.0 -220 |
o58.5 -110 |
-210 |
|
|
29.09 |
+0.0 +170 |
u59.5 -115 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.68 |
-3.0 -113 |
o50.5 -108 |
-150 |
|
|
23.92 |
+3.0 -102 |
u51.0 -115 |
+140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.01 |
-4.5 -115 |
o56.5 -110 |
-205 |
|
|
27.54 |
+4.5 -105 |
u57.5 -120 |
+175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.11 |
+2.5 -105 |
o53.5 -106 |
+120 |
|
|
27.36 |
-2.5 -105 |
u53.5 -108 |
-129 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.60 |
+18.5 -105 |
o45.5 -110 |
+825 |
|
|
32.05 |
-18.5 -108 |
u46.5 -115 |
-1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.90 |
+5.5 -108 |
o47.5 -115 |
+180 |
|
|
27.13 |
-5.5 -105 |
u48.5 -104 |
-197 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.57 |
+7.5 -115 |
o53.5 -115 |
+235 |
|
|
31.50 |
-7.5 +100 |
u54.5 -105 |
-275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.14 |
+13.5 -105 |
o42.5 -112 |
+480 |
|
|
30.69 |
-13.5 -105 |
u43.5 -105 |
-530 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
37.36 |
-20.0 -110 |
o53.5 -120 |
-1400 |
|
|
17.56 |
+20.0 -108 |
u54.5 -110 |
+980 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.57 |
-2.5 -106 |
o51.5 -106 |
-130 |
|
|
24.31 |
+2.5 -105 |
u51.5 -110 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.91 |
-12.5 -130 |
o45.0 -114 |
-549 |
|
|
17.11 |
+12.5 +105 |
u45.5 -107 |
+460 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.39 |
+2.5 -115 |
o50.5 -110 |
+105 |
|
|
26.02 |
-2.5 -111 |
u51.5 -115 |
-110 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.57 |
+18.5 -110 |
o54.5 -110 |
+850 |
|
|
38.41 |
-18.5 -105 |
u55.5 -115 |
-950 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.80 |
+22.5 -108 |
o48.5 -105 |
+1200 |
|
|
37.36 |
-22.5 -110 |
u48.5 -104 |
-1800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.89 |
+15.0 -110 |
o52.0 -113 |
+500 |
|
|
34.74 |
-15.0 -108 |
u52.5 -110 |
-649 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.54 |
+10.5 -120 |
o59.5 -110 |
+330 |
|
|
35.95 |
-10.5 +100 |
u61.5 -114 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.64 |
+3.0 -112 |
o53.5 -110 |
+125 |
|
|
29.51 |
-3.0 -105 |
u54.5 -115 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.48 |
-5.5 -108 |
o60.5 -110 |
-200 |
|
|
28.39 |
+5.5 -105 |
u61.5 -110 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.89 |
+14.5 -115 |
o51.5 -110 |
+500 |
|
|
33.77 |
-14.5 +100 |
u51.5 -108 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.88 |
+14.5 -120 |
o55.5 -110 |
+480 |
|
|
36.20 |
-14.5 +100 |
u56.5 -110 |
-600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.82 |
-5.5 -125 |
o48.5 +100 |
-235 |
|
|
21.88 |
+0.0 +190 |
u48.5 -109 |
+230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.69 |
-1.5 -115 |
o53.5 -114 |
-124 |
|
|
25.30 |
+1.5 -105 |
u54.5 -110 |
+114 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.05 |
-11.0 -113 |
o54.5 -109 |
-420 |
|
|
22.70 |
+11.0 -107 |
u55.5 -112 |
+400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.46 |
+10.5 -130 |
o57.5 -112 |
+290 |
|
|
33.05 |
-10.5 +105 |
u58.5 -114 |
-345 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.52 |
-16.5 -115 |
o48.5 +100 |
-800 |
|
|
16.18 |
+16.5 +100 |
u49.5 -115 |
+610 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.08 |
-13.5 -108 |
o50.5 -105 |
-549 |
|
|
18.32 |
+13.5 -105 |
u50.5 -110 |
+430 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.03 |
+20.5 -115 |
o51.5 -107 |
+950 |
|
|
35.13 |
-20.5 -105 |
u51.5 -110 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.35 |
+6.5 -110 |
o50.5 -108 |
+200 |
|
|
29.65 |
-6.5 +100 |
u51.5 -120 |
-230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.71 |
-2.0 -109 |
o46.5 -105 |
-130 |
|
|
23.44 |
+2.0 -110 |
u46.5 -106 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
40.21 |
-23.5 -115 |
o55.5 -109 |
-2200 |
|
|
17.03 |
+23.5 -102 |
u56.5 -110 |
+1300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.58 |
+6.5 +100 |
o46.5 -105 |
+215 |
|
|
27.78 |
-6.5 -112 |
u47.5 -115 |
-240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.88 |
+2.5 -108 |
o46.5 -110 |
+110 |
|
|
23.06 |
-2.5 -108 |
u46.5 -108 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.77 |
-3.5 -115 |
o58.0 -110 |
-185 |
|
|
28.02 |
+3.5 -105 |
u58.5 -110 |
+165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.75 |
+4.5 -110 |
o50.5 -110 |
+170 |
|
|
27.81 |
-4.5 +100 |
u51.0 -112 |
-180 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.45 |
+7.5 -115 |
o54.5 -110 |
+235 |
|
|
31.12 |
-7.5 +105 |
u55.0 -110 |
-275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.88 |
+3.0 -118 |
o51.5 -108 |
+125 |
|
|
26.63 |
-3.0 +100 |
u51.5 -110 |
-135 |
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.
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.
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.
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.