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Free College Football Expert and Computer Picks For Every Game Sept. 16, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.39 |
+10.5 -110 |
o51.5 -105 |
+335 |
|
|
31.76 |
-10.5 +100 |
u51.5 -110 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
39.17 |
-20.5 -114 |
o55.5 -110 |
-1408 |
|
|
18.71 |
+20.5 +100 |
u56.5 -110 |
+1050 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.67 |
+7.5 -110 |
o52.5 -114 |
+250 |
|
|
31.04 |
-7.5 +100 |
u54.0 -114 |
-290 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.20 |
+5.5 -115 |
o57.5 -105 |
+180 |
|
|
31.36 |
-5.5 -105 |
u57.5 -110 |
-188 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.50 |
+2.5 +105 |
o63.5 -105 |
+130 |
|
|
33.66 |
-2.5 -120 |
u63.5 -110 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.77 |
+0.0 -215 |
o49.5 -115 |
-205 |
|
|
24.66 |
+5.5 -105 |
u50.5 -102 |
+180 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
2.29 |
+52.5 -106 |
o59.0 -115 |
+45000 |
|
|
56.28 |
-52.5 -108 |
u59.5 -104 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.32 |
+3.5 -112 |
o43.0 -112 |
+145 |
|
|
22.32 |
-3.5 +100 |
u44.5 -115 |
-170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
4.45 |
+41.5 -115 |
o49.5 -110 |
+17500 |
|
|
45.13 |
-41.5 -105 |
u50.5 -110 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
41.33 |
-23.5 -117 |
o54.5 -108 |
-2500 |
|
|
16.21 |
+23.5 -104 |
u55.5 -114 |
+1600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
9.15 |
+24.5 -130 |
o43.5 -115 |
+1500 |
|
|
34.06 |
-24.5 +105 |
u44.5 -115 |
-2200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.70 |
+20.5 -105 |
o49.5 -105 |
+1000 |
|
|
36.22 |
-20.5 -105 |
u49.5 -108 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.74 |
+24.5 -115 |
o48.5 -115 |
+1500 |
|
|
36.68 |
-24.5 +102 |
u49.5 -110 |
-2400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
10.70 |
+24.5 -110 |
o45.5 -105 |
+1400 |
|
|
33.70 |
-24.5 -102 |
u45.5 -109 |
-2400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.21 |
+3.5 -110 |
o50.5 -105 |
+150 |
|
|
28.66 |
-3.5 -105 |
u51.0 -111 |
-165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.50 |
+1.5 -110 |
o39.0 -110 |
+100 |
|
|
19.76 |
-1.5 -105 |
u39.5 -110 |
-120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.53 |
+6.5 -115 |
o50.5 -110 |
+188 |
|
|
29.00 |
-6.5 -105 |
u51.0 -115 |
-210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.80 |
+28.5 -112 |
o56.5 -112 |
+2500 |
|
|
44.00 |
-28.5 +100 |
u57.5 -115 |
-4000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
41.57 |
-23.5 -114 |
o59.5 -110 |
-1786 |
|
|
18.43 |
+23.5 -105 |
u60.0 -110 |
+1300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
6.91 |
+35.5 -115 |
o48.5 -110 |
+8000 |
|
|
40.89 |
-35.5 +100 |
u50.5 -120 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.07 |
+20.5 -115 |
o48.5 -110 |
+900 |
|
|
34.91 |
-20.5 -105 |
u49.5 -115 |
-1205 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.15 |
+2.5 -115 |
o59.0 -109 |
+106 |
|
|
31.13 |
-2.5 -111 |
u59.5 -110 |
-120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.91 |
+15.5 -115 |
o49.5 -108 |
+540 |
|
|
33.99 |
-15.5 +100 |
u50.5 -115 |
-699 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.89 |
+16.5 +100 |
o49.5 -110 |
+640 |
|
|
35.31 |
-16.5 -110 |
u50.5 -110 |
-750 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.45 |
+20.5 -115 |
o52.5 -110 |
+800 |
|
|
36.71 |
-20.5 -105 |
u53.5 -110 |
-1099 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.60 |
+14.5 -110 |
o49.5 -110 |
+525 |
|
|
32.08 |
-14.5 +100 |
u50.5 -110 |
-600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.81 |
+9.5 -105 |
o50.5 -111 |
+300 |
|
|
30.92 |
-9.5 -110 |
u51.5 -115 |
-350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
7.60 |
+44.5 -105 |
o59.5 -110 |
+17500 |
|
|
55.22 |
-44.5 -108 |
u61.5 -115 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.95 |
+3.5 -105 |
o58.5 -105 |
+155 |
|
|
31.49 |
-3.5 -110 |
u58.5 -108 |
-170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.10 |
+18.5 -115 |
o51.5 -108 |
+850 |
|
|
36.41 |
-18.5 -105 |
u52.5 -125 |
-1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.35 |
+7.5 -135 |
o62.5 -105 |
+220 |
|
|
33.90 |
-7.5 +110 |
u63.5 -115 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.78 |
+3.5 -125 |
o48.5 -110 |
+125 |
|
|
26.42 |
-3.5 +105 |
u49.5 -111 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.98 |
-3.5 -115 |
o51.5 -110 |
-180 |
|
|
25.50 |
+3.5 -105 |
u53.5 -113 |
+170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.71 |
-2.5 -108 |
o53.0 -110 |
-130 |
|
|
25.53 |
+2.5 +100 |
u53.5 -108 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.58 |
-8.5 -105 |
o43.5 -110 |
-360 |
|
|
16.70 |
+8.5 -115 |
u43.5 -105 |
+325 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.77 |
+7.5 -120 |
o49.5 -105 |
+225 |
|
|
29.54 |
-7.5 +108 |
u50.5 -112 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.94 |
-3.5 -109 |
o50.5 -110 |
-166 |
|
|
23.56 |
+3.5 +100 |
u51.5 -122 |
+160 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.85 |
+3.5 -112 |
o52.5 -110 |
+150 |
|
|
27.16 |
-3.5 -105 |
u53.5 -115 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.04 |
+27.5 -110 |
o49.5 -110 |
+2200 |
|
|
39.17 |
-27.5 -105 |
u50.5 -110 |
-4000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.08 |
-3.5 +100 |
o54.5 -110 |
-155 |
|
|
26.40 |
+3.5 -115 |
u55.5 -125 |
+140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.59 |
+19.5 -110 |
o50.5 -108 |
+825 |
|
|
35.03 |
-19.5 -110 |
u50.5 -108 |
-1100 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.42 |
+0.0 -164 |
o58.5 -110 |
-150 |
|
|
28.14 |
+0.0 +130 |
u59.5 -121 |
+135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.82 |
+30.5 -115 |
o52.0 -110 |
+2500 |
|
|
41.76 |
-30.5 -105 |
u53.5 -110 |
-4500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.53 |
+3.5 -105 |
o47.5 -120 |
+160 |
|
|
26.15 |
-3.5 -105 |
u48.5 -110 |
-175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.91 |
+10.5 -110 |
o53.5 -110 |
+340 |
|
|
32.45 |
-10.5 +100 |
u54.0 -112 |
-360 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.85 |
-2.5 -115 |
o53.5 -110 |
-140 |
|
|
26.59 |
+0.0 +123 |
u54.5 -110 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.12 |
+22.5 -110 |
o46.5 -110 |
+1300 |
|
|
33.74 |
-22.5 -108 |
u47.0 -110 |
-2000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
35.38 |
-17.5 -110 |
o52.5 -105 |
-1000 |
|
|
19.03 |
+17.5 -105 |
u52.5 -108 |
+800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.89 |
+35.5 -108 |
o59.5 -105 |
+5500 |
|
|
48.06 |
-35.5 -105 |
u60.0 -111 |
-50000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.33 |
+30.5 -105 |
o58.0 -108 |
+2500 |
|
|
44.64 |
-30.5 -105 |
u58.5 -115 |
-5882 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.45 |
+8.5 -135 |
o56.5 -105 |
+260 |
|
|
32.98 |
-8.5 +110 |
u57.5 -120 |
-300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.85 |
+20.5 -111 |
o56.5 -110 |
+850 |
|
|
37.89 |
-20.5 -105 |
u57.0 -114 |
-1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.17 |
+2.5 -108 |
o45.5 -118 |
+114 |
|
|
25.35 |
-2.5 -104 |
u47.5 -115 |
-128 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
6.49 |
+34.5 -105 |
o49.5 -110 |
+5000 |
|
|
41.77 |
-34.5 -105 |
u50.5 -114 |
-33333 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.81 |
-26.5 -110 |
o50.5 -110 |
-5000 |
|
|
12.97 |
+26.5 -110 |
u51.5 -118 |
+2200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.61 |
-6.5 -115 |
o49.5 -113 |
-250 |
|
|
21.65 |
+6.5 +100 |
u51.5 -128 |
+235 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.24 |
+14.5 -115 |
o52.5 -109 |
+475 |
|
|
34.13 |
-14.5 -104 |
u53.5 -110 |
-600 |
Over the first two weeks of the season, both Houston and Texas Tech have played an FCS program and Oregon State. Neither looked all that impressive against the Beavers, but the Red Raiders have the defensive advantage in this matchup. The Red Raiders' defense is fourth nationally in early-down EPA per play and ranked 11th overall by SP+. If Tech can pressure Conner Weigman, he'll make mistakes. Weigman was Top 20 in the P4 turnover-worthy play rate last season (3.9%).
Arkansas was a 13.5-point underdog against Utah and lost by 33. Razorbacks fans already want head coach Ryan Silverfield gone, or at the very least, AD Hunter Yurachek. Georgia hasn't played with its food this season, outscoring Tennessee State and Western Kentucky, 133-23. The Bulldogs are now ranked No. 1 by SP+, and Gunner Stockton has more TD passes (8) than incompletions (4). Georgia should torch an Arkansas defense ranked 131st in EPA per pass and rush.
It's important to pay attention to maket moves from the prior week. South Alabama took money last week vs Tulane. They went on to cover and should have won outright, so that was a bit of a misleading final. On top of that, Ohio had money go against them last week and went on to win a game they shouldn't have in four OTs after being outgained by over 200 yards. I think this line could close closer to six.
LSU’s dominating performance versus Clemson in Week 1 might not prove to be overly impressive considering Clemson might be lucky to make a bowl game this year.
Also, LSU quarterback Sam Leavitt has quietly thrown four interceptions already this season. Obviously, multiple turnovers is not a recipe for success on the road.
While Kiffin and Trinidad Chambliss are the headliners for this year's Magnolia Bowl, I think LSU will cover on the road because of its defense (specifically its front seven). Princewill Umanmielen (10) and Jordan Ross (8) are both Top 25 in the country in pressures, and the Tigers' defense is third nationally in havoc rate (30.2%). Ole Miss' defense has been far less impressive, ranking third-last in the SEC in havoc rate (15.5%) with 21 pressures through two games (LSU has 48).
Notre Dame is 9-3 ATS against current Big Ten teams under Marcus Freeman and 5-0 ATS if you remove Ohio State and USC from that equation. This is exactly Notre Dame's wheelhouse, and even a mucked-up first half against Wisconsin didn't stop the Irish from covering a three-touchdown spread. Meanwhile, Michigan State is 2-0 after taking down Toledo and EMU from the MAC, but the rushing attack that carried the Spartans to those victories will fall flat against an Irish defense that ranks 10th in opponent yards per carry.
Purdue is improved in year two under head coach Barry Odom. Last week they nearly pulled a small upset at home versus Wake Forest before losing by two.
Wake Forest converted a 4th-and-15 in the second overtime. Change that one unlikely conversion and Purdue enters this game 2-0. You have to ask would the Boilermakers still be catching more than two touchdowns here? I have my doubts.
Purdue dropped 455 total yards and 29 first downs on a good Wake Forest defense in Week 2. The market isn't giving enough respect to Fame Ijeboi's dominance at running back and how he opens up the passing attack.
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.