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Free College Football Expert and Computer Picks For Every Game Oct. 7, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.29 |
+6.5 +100 |
o46.5 -102 |
+220 |
|
|
26.47 |
-6.5 -111 |
u47.5 -115 |
-240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.88 |
+2.5 -112 |
o56.5 -105 |
+113 |
|
|
29.66 |
-2.5 -108 |
u57.5 -115 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.84 |
+13.5 -105 |
o51.5 -117 |
+450 |
|
|
33.37 |
-13.5 -105 |
u52.5 -110 |
-520 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.15 |
+7.5 -120 |
o49.5 -110 |
+225 |
|
|
28.83 |
-7.5 +105 |
u50.5 -114 |
-270 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.46 |
+1.5 -108 |
o58.5 -115 |
+102 |
|
|
30.69 |
-1.5 -105 |
u60.5 -110 |
-105 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.64 |
+3.5 -105 |
o58.5 -115 |
+155 |
|
|
31.69 |
-3.5 -110 |
u59.5 -115 |
-175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.21 |
+6.5 -105 |
o42.5 -110 |
+200 |
|
|
23.98 |
-6.5 -105 |
u43.5 -112 |
-215 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.11 |
+3.5 -110 |
o41.5 -109 |
+145 |
|
|
22.68 |
-3.5 +100 |
u42.5 -113 |
-160 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.35 |
+5.5 -105 |
o43.5 -115 |
+175 |
|
|
23.78 |
-5.5 -108 |
u44.5 -118 |
-197 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.60 |
+10.5 -110 |
o46.0 -110 |
+350 |
|
|
29.51 |
-10.5 +105 |
u46.5 -110 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.43 |
-7.5 -105 |
o48.5 -112 |
-300 |
|
|
22.48 |
+7.5 -110 |
u49.5 -110 |
+260 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.70 |
+8.5 -115 |
o44.5 +100 |
+250 |
|
|
25.05 |
-8.5 -105 |
u44.5 -109 |
-290 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.74 |
+3.5 -110 |
o48.5 -105 |
+150 |
|
|
27.25 |
-3.5 -105 |
u48.5 -110 |
-165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.05 |
-3.0 -115 |
o61.0 -114 |
-155 |
|
|
28.46 |
+3.0 -105 |
u61.5 -110 |
+140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.22 |
+11.5 -115 |
o53.5 +100 |
+350 |
|
|
31.41 |
-11.5 -105 |
u53.5 -108 |
-410 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.50 |
+4.5 -120 |
o46.5 -115 |
+157 |
|
|
26.22 |
-4.5 +100 |
u47.5 -112 |
-175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.32 |
-3.5 -102 |
o59.5 -105 |
-162 |
|
|
28.96 |
+3.5 -110 |
u59.5 -110 |
+155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.30 |
+3.5 -110 |
o47.5 -110 |
+141 |
|
|
25.29 |
-3.5 +100 |
u48.5 -115 |
-159 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
7.32 |
-- |
-- |
-- |
|
|
45.32 |
-- |
-- |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.29 |
+12.5 -110 |
o59.5 -110 |
+400 |
|
|
37.22 |
-12.5 -107 |
u61.0 -114 |
-425 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.59 |
+9.5 -105 |
o49.5 -110 |
+300 |
|
|
30.44 |
-9.5 -110 |
u50.5 -112 |
-350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.81 |
-1.5 -115 |
o46.5 -110 |
-125 |
|
|
23.64 |
+1.5 -105 |
u47.5 -108 |
+113 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.40 |
-6.5 -120 |
o51.5 -110 |
-265 |
|
|
22.09 |
+6.5 +100 |
u52.5 -118 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
7.59 |
+39.5 -130 |
o54.5 -108 |
+8000 |
|
|
48.17 |
-39.5 -102 |
u54.5 -105 |
-12000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.66 |
-7.5 -108 |
o38.5 -110 |
-320 |
|
|
16.95 |
+7.5 -107 |
u39.5 -108 |
+270 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.70 |
-8.5 -120 |
o53.0 -110 |
-350 |
|
|
23.02 |
+8.5 +100 |
u54.5 -115 |
+295 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.76 |
+2.5 -105 |
o55.5 -105 |
+120 |
|
|
30.09 |
-2.5 -110 |
u56.5 -115 |
-135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.88 |
-2.5 -110 |
o47.5 -110 |
-134 |
|
|
22.81 |
+2.5 -105 |
u48.5 -115 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.11 |
+14.5 -120 |
o43.5 -108 |
+500 |
|
|
29.18 |
-14.5 -105 |
u43.5 -105 |
-549 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.74 |
-6.5 -115 |
o43.5 -117 |
-250 |
|
|
20.29 |
+6.5 +100 |
u44.5 -110 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.34 |
+28.5 -108 |
o57.5 -110 |
+3000 |
|
|
45.23 |
-28.5 +100 |
u58.0 -110 |
-4500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.40 |
+12.5 -115 |
o58.5 -110 |
+360 |
|
|
36.72 |
-12.5 -105 |
u59.0 -110 |
-420 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.08 |
-9.5 -108 |
o54.5 -118 |
-360 |
|
|
25.23 |
+9.5 +100 |
u56.5 -108 |
+300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.66 |
+21.5 -110 |
o54.5 -115 |
+1200 |
|
|
38.93 |
-21.5 -109 |
u55.0 -110 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.51 |
+2.5 -105 |
o48.5 -108 |
+115 |
|
|
25.96 |
-2.5 -110 |
u49.0 -115 |
-132 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.84 |
+3.0 -110 |
o46.0 -110 |
+125 |
|
|
24.67 |
-3.0 -107 |
u46.5 -105 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.17 |
+4.5 -110 |
o53.5 -115 |
+160 |
|
|
29.41 |
-4.5 -109 |
u54.5 -105 |
-172 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.68 |
+10.5 -110 |
o46.5 -120 |
+325 |
|
|
29.02 |
-10.5 -109 |
u47.5 -110 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
10.93 |
+34.5 -105 |
o55.5 -115 |
+4500 |
|
|
46.24 |
-34.5 -109 |
u56.5 -108 |
-12000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.89 |
-13.5 -110 |
o51.0 -114 |
-526 |
|
|
19.44 |
+13.5 -107 |
u51.5 -110 |
+410 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.21 |
+15.5 -110 |
o53.0 -110 |
+550 |
|
|
33.86 |
-15.5 -105 |
u53.5 -110 |
-676 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.94 |
-8.5 -110 |
o48.5 -118 |
-345 |
|
|
20.62 |
+8.5 -110 |
u49.5 -110 |
+300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.80 |
-8.5 -105 |
o51.5 -112 |
-320 |
|
|
22.65 |
+8.5 -107 |
u52.5 -115 |
+275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.74 |
+3.5 -110 |
o57.5 -120 |
+140 |
|
|
29.84 |
-3.5 +105 |
u59.5 -115 |
-150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.31 |
-3.0 -118 |
o47.5 -110 |
-154 |
|
|
21.71 |
+3.0 -102 |
u48.5 -110 |
+145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.15 |
+14.5 -128 |
o52.5 -105 |
+480 |
|
|
34.41 |
-14.5 -116 |
u53.5 -111 |
-580 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.95 |
-7.5 +100 |
o51.5 -105 |
-275 |
|
|
22.35 |
+7.5 -113 |
u52.0 -110 |
+250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.14 |
+1.5 -108 |
o54.5 -112 |
+102 |
|
|
28.92 |
-1.5 -105 |
u55.0 -114 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.39 |
-7.5 +100 |
o46.5 -110 |
-290 |
|
|
19.35 |
+7.5 -109 |
u47.5 -120 |
+260 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.38 |
+9.5 -108 |
o49.5 -119 |
+290 |
|
|
31.08 |
-9.5 -107 |
u50.5 -110 |
-335 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.27 |
+3.5 -120 |
o46.5 -110 |
+130 |
|
|
26.84 |
-3.5 +105 |
u47.5 -105 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.86 |
+1.5 -108 |
o51.5 +100 |
+105 |
|
|
28.30 |
-1.5 -105 |
u52.5 -115 |
-120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.63 |
-2.5 -109 |
o50.5 -110 |
-130 |
|
|
24.60 |
+2.5 -105 |
u51.0 -115 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.07 |
+15.5 -110 |
o50.5 -114 |
+550 |
|
|
34.76 |
-15.5 -105 |
u51.5 -115 |
-699 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.59 |
+21.5 -115 |
o49.5 -112 |
+1000 |
|
|
35.68 |
-21.5 -105 |
u50.5 -109 |
-1408 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.79 |
-6.5 -105 |
o48.0 -110 |
-225 |
|
|
21.53 |
+6.5 -105 |
u48.5 -110 |
+205 |
South Florida is the fourth-lowest scoring team in college football, averaging just FOUR points, while UTSA ranks 47th in first-half scoring at more than 15 points per game. I expect the Roadrunners to cover 4.5 points, but if that wonky number worries you, take UTSA to win the first half.
Don’t let South Florida’s top-10 scoring defense fool you, as the Bulls have faced a soft schedule. This matchup should be a wake-up call against a Roadrunners offense that can attack on the ground. While UTSA’s run defense has been vulnerable, much of that damage came against Texas and Texas State.
I'd play the Over on Florida State's team total at 27.5 or better. The Seminoles are averaging 33.2 PPG and have gone Over 27.5 in four of five games. They have one of the best run games in the country (12th in EPA per rush), and Louisville has allowed Over 27.5 points in all four of its FBS games.
With how poorly these defenses have looked at times this season, this should be a shootout, and I'd play the Over at 60.5 or better. Louisville is top 25 nationally in offensive success rate (49.7%), but its defense is 73rd in success rate (44.3%). Florida State's offense is eighth nationally in net adjusted EPA per play, but its defense is 93rd. Perfect shootout matchup.
Under 41.5 is playable down to 40.5. Both defenses hold a clear efficiency edge, neither offense creates many explosive plays, and both teams rank outside the Top 85 nationally in red-zone touchdown rate.
I'm using the first-quarter Over 7.5 primarily to boost the combo payout. BYU averages 9.3 first-quarter points and Iowa State scores 7.0, so an early touchdown plus another scoring drive can cash before the game slows down.
Under 45.5 is playable down to 44.5. Both offenses lean heavily on the run, while BYU is missing its best offensive player. I'm also fading recency bias from Iowa State's 45-42 shootout and last year's high-scoring matchup.
North Carolina's defense wears down as the game goes on, and Pitt will take advantage. The Panthers hold possession 31:38 per game and convert 46% of their third downs. Antonio Chadha is a perfect 5-for-5 on field goals and 23-for-23 on extra points, so even stalled drives turn into points.
The Tar Heels can add their own points. Pitt's pass defense just allowed 434 yards at Virginia Tech, and Billy Edwards Jr. threw three touchdown passes against Notre Dame. Jaden Jefferson returned a kickoff 98 yards against the Irish, and Pitt allows 25.8 yards per kick return.
Pitt has scored on 18 of 22 red-zone trips, including 14 touchdowns. Play this up to 47.5.
Oklahoma quarterback John Mateer ranks just No. 68 in QBR and has eight turnover-worthy plays this season (12th most nationally). I don’t expect him to suddenly play clean football against a Texas defense that ranks No. 16 in Havoc.
Finally, I don’t hold Texas head coach Steve Sarkisian in as high regard as most. However, I think he's far superior to Oklahoma head coach Brent Venables. This has played out on the field, with Texas winning 23-6, 34-3, and 49-0 in three of the four meetings between the two coaches.
Oklahoma's offense is a mess, which is why I would take Texas up to -9.5. John Mateer's QBR was below 55 in two Power Four games against Michigan (52) and Georgia (44.4). The Sooners won't score enough against a Longhorns defense that's 11th in success rate (36.5%) to cover.
Dylan Raiola is the best backup quarterback in the country. He was a solid starter at Nebraska for two years. Two weeks ago, he came off the bench after Moore's injury and led Oregon to a 41-27 win at USC. It was a high-pressure game the Ducks desperately needed, and Raiola had a 98.8 QBR!
While it has been a great start for UCLA and new head coach Bob Chesney, the Bruins have not played a team currently in the Top 60 of my power ratings. Most of their opponents are way down this year, including California, San Diego State, and Maryland. That's inflating their metrics.
UCLA has all the makings of a team that can win this game outright. Yes, Dylan Raiola filled Dante Moore's shoes nicely against USC, but UCLA's defense will provide much more resistance, ranking 15th in opponent yards per play compared to USC's 87th. On the other side of the ball, UCLA leads the nation in yards per carry and sits fourth in yards per play. Take the points.
The Under is good down to 53.5. It'll be difficult for this game to shoot out given the leisurely tempo; USC checks in at 102nd in snaps per minute (28.0), and Penn State isn't far ahead at 83rd (27.1).
Play USC down to -2.5. This is a fade of Penn State, which managed 3.6 yards per play against Wisconsin at home --- squandering a 17-0 lead aided by three turnovers --- and got outgained by 215 yards against Northwestern.
I love the spot for Boise State. It's a revenge spot as they were favored by double digits and lost outright to Fresno State last season in a game where they lost their starting QB. I think this is a rare conference game that they have circled on their calander. I like the price as well, which I made seven. I'm not overly impressed by Fresno State so far this season.
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.
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More than a dozen Covers college football picks are released throughout the week during the season, covering all the biggest games and matchups.
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