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Free College Football Expert and Computer Picks For Every Game Nov. 4, 2026
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Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.82 |
+2.5 -105 |
o48.5 -110 |
+120 |
|
|
26.81 |
-2.5 -110 |
u49.5 -117 |
-135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.95 |
-24.5 -110 |
o52.5 -110 |
-2778 |
|
|
14.70 |
+24.5 -110 |
u53.5 -110 |
+2000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.53 |
+1.5 -120 |
o44.5 -108 |
-110 |
|
|
22.80 |
-1.5 +100 |
u44.5 -105 |
+105 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.74 |
-6.5 -115 |
o72.5 -110 |
-250 |
|
|
32.83 |
+6.5 +100 |
u73.5 -110 |
+230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
36.39 |
-14.5 -106 |
o57.5 -110 |
-625 |
|
|
22.01 |
+14.5 -110 |
u57.5 -104 |
+575 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.93 |
+6.5 -121 |
o56.0 -110 |
+190 |
|
|
31.42 |
-6.5 -110 |
u56.5 -109 |
-210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.39 |
+2.5 -109 |
o38.5 -115 |
+115 |
|
|
21.57 |
-2.5 -105 |
u39.5 -105 |
-129 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.69 |
-4.5 -105 |
o49.5 -110 |
-185 |
|
|
23.01 |
+4.5 -105 |
u50.5 -112 |
+175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.76 |
-8.5 -120 |
o36.5 -120 |
-375 |
|
|
15.15 |
+8.5 +100 |
u37.5 -115 |
+325 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.26 |
+9.5 -110 |
o43.5 -115 |
+290 |
|
|
27.12 |
-9.5 -110 |
u44.5 -110 |
-310 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.59 |
-2.5 -110 |
o49.5 -114 |
-134 |
|
|
24.19 |
+2.5 -102 |
u50.5 -110 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.00 |
-2.5 -115 |
o42.5 -110 |
-139 |
|
|
21.33 |
+2.5 +101 |
u43.0 -109 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.90 |
-4.5 -109 |
o39.5 -106 |
-190 |
|
|
18.16 |
+4.5 -110 |
u39.5 -110 |
+181 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.11 |
-6.5 -115 |
o54.5 -108 |
-250 |
|
|
24.57 |
+6.5 +102 |
u55.0 -128 |
+230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.79 |
-6.5 -105 |
o50.5 -110 |
-230 |
|
|
23.03 |
+6.5 +100 |
u51.5 -115 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.13 |
-1.5 -105 |
o49.5 -110 |
-118 |
|
|
24.49 |
+1.5 -105 |
u50.5 -118 |
+110 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.85 |
+10.5 -120 |
o50.5 -110 |
+310 |
|
|
30.80 |
-10.5 -106 |
u50.5 -105 |
-360 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.85 |
+5.5 -110 |
o48.5 -109 |
+170 |
|
|
28.30 |
-5.5 -105 |
u48.5 -105 |
-190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.98 |
+3.5 -120 |
o45.5 -109 |
+124 |
|
|
24.07 |
-3.5 +100 |
u45.5 -108 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.78 |
+6.5 -111 |
o56.5 -110 |
+188 |
|
|
32.09 |
-6.5 -109 |
u57.5 -110 |
-210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.07 |
-4.5 -110 |
o51.5 -105 |
-188 |
|
|
24.31 |
+4.5 -105 |
u52.5 -118 |
+167 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.18 |
+11.5 -110 |
o51.5 -110 |
+350 |
|
|
30.98 |
-11.5 -109 |
u52.5 -110 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.80 |
-4.5 -110 |
o61.5 -115 |
-200 |
|
|
29.21 |
+4.5 -110 |
u62.5 -110 |
+190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.17 |
+7.5 -115 |
o43.5 -110 |
+225 |
|
|
26.04 |
-7.5 +101 |
u44.5 -115 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.08 |
+5.5 -108 |
o55.0 -110 |
+180 |
|
|
30.12 |
-5.5 -108 |
u55.5 -110 |
-205 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.05 |
-1.5 -115 |
o55.5 -115 |
-125 |
|
|
26.66 |
+1.5 -105 |
u57.5 -105 |
+109 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.03 |
+15.5 -113 |
o52.5 -115 |
+510 |
|
|
34.83 |
-15.5 -113 |
u53.5 -110 |
-649 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.35 |
+7.5 -120 |
o51.0 -110 |
+230 |
|
|
29.75 |
-7.5 +100 |
u51.5 -110 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.15 |
+2.5 -105 |
o44.5 -105 |
+115 |
|
|
23.89 |
-2.5 -105 |
u44.5 -110 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.29 |
+11.5 -113 |
o62.5 -105 |
+360 |
|
|
36.67 |
-11.5 -106 |
u62.5 -105 |
-420 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.94 |
+7.5 -115 |
o54.5 -108 |
+250 |
|
|
31.08 |
-7.5 +100 |
u54.5 -105 |
-275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.16 |
+8.5 -110 |
o46.5 -109 |
+275 |
|
|
28.64 |
-8.5 -110 |
u46.5 -108 |
-285 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.10 |
+5.5 -106 |
o52.5 -106 |
+190 |
|
|
30.40 |
-5.5 -105 |
u53.5 -113 |
-210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.48 |
+10.5 -110 |
o53.5 -110 |
+325 |
|
|
31.72 |
-10.5 -105 |
u54.5 -105 |
-385 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.52 |
+8.5 -109 |
o47.5 -108 |
+300 |
|
|
29.79 |
-8.5 -106 |
u47.5 -110 |
-300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.19 |
+1.5 -122 |
o52.5 -115 |
-106 |
|
|
26.40 |
-1.5 -104 |
u53.5 -110 |
+100 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.19 |
+3.5 -120 |
o47.5 -115 |
+127 |
|
|
26.64 |
-3.5 +103 |
u48.5 -111 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.01 |
-4.5 -108 |
o46.5 -115 |
-188 |
|
|
21.82 |
+4.5 -105 |
u47.5 -110 |
+165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.83 |
+10.5 -117 |
o51.5 -110 |
+325 |
|
|
30.43 |
-10.5 -103 |
u52.5 -115 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.55 |
+17.5 -110 |
o64.0 -110 |
+625 |
|
|
41.99 |
-17.5 -102 |
u64.5 -106 |
-900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.48 |
+5.5 -110 |
o49.5 -110 |
+170 |
|
|
26.92 |
-5.5 -110 |
u50.5 -110 |
-188 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.35 |
+3.5 -139 |
o47.5 -110 |
+132 |
|
|
27.13 |
-3.5 -108 |
u48.5 -110 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.91 |
+17.5 -118 |
o45.0 -115 |
+720 |
|
|
31.71 |
-17.5 -102 |
u45.5 -105 |
-847 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.78 |
+8.5 -115 |
o57.5 -108 |
+265 |
|
|
33.40 |
-8.5 -107 |
u58.5 -115 |
-280 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
42.83 |
-16.5 -120 |
o68.5 -110 |
-900 |
|
|
26.49 |
+16.5 -106 |
u68.5 -105 |
+650 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.08 |
+6.5 -105 |
o50.0 -110 |
+210 |
|
|
29.57 |
-6.5 -110 |
u50.5 -105 |
-225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.24 |
+17.5 -128 |
o47.5 -105 |
+600 |
|
|
32.03 |
-17.5 -112 |
u48.5 -115 |
-800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.76 |
+3.5 -115 |
o47.5 -115 |
+139 |
|
|
27.40 |
-3.5 +100 |
u48.5 -108 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.81 |
+13.5 -110 |
o39.5 -108 |
+475 |
|
|
26.85 |
-13.5 -105 |
u40.5 -115 |
-549 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.50 |
-3.5 -105 |
o56.5 -110 |
-170 |
|
|
27.35 |
+3.5 -108 |
u56.5 -108 |
+150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
37.66 |
-13.5 -120 |
o60.0 -115 |
-649 |
|
|
23.94 |
+13.5 +100 |
u61.5 -112 |
+500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.59 |
+7.5 -132 |
o55.5 -115 |
+220 |
|
|
32.19 |
-7.5 -108 |
u56.5 -108 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.23 |
+3.5 -120 |
o44.5 -112 |
+141 |
|
|
26.11 |
-3.5 +100 |
u45.5 -110 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.77 |
+6.5 -110 |
o44.5 -110 |
+200 |
|
|
26.94 |
-6.5 -105 |
u45.5 -110 |
-220 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.53 |
-16.5 -112 |
o46.0 -110 |
-800 |
|
|
15.27 |
+16.5 -102 |
u46.5 -105 |
+660 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.47 |
-1.5 -115 |
o41.5 -110 |
-120 |
|
|
19.84 |
+1.5 -111 |
u42.5 -108 |
+111 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.74 |
-8.5 -110 |
o49.5 -110 |
-345 |
|
|
19.57 |
+8.5 -109 |
u50.5 -115 |
+290 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.28 |
+16.5 -105 |
o64.5 -115 |
+600 |
|
|
40.95 |
-16.5 -110 |
u65.5 -110 |
-780 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.11 |
+6.5 -104 |
o71.5 -105 |
+210 |
|
|
39.25 |
-6.5 -107 |
u72.5 -110 |
-225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.41 |
+6.5 -115 |
o47.5 -110 |
+192 |
|
|
26.07 |
-6.5 -105 |
u48.5 -110 |
-215 |
Given how low-scoring I expect this matchup to be, along with Central Michigan having faced the tougher schedule to this point, the Chippewas should be more than prepared to keep the Eagles in check and make this a tight game throughout the first half.
Central Michigan has faced a much tougher schedule than Eastern Michigan over the last five games. The Chippewas' ground attack should be the difference, especially against an Eagles team that struggled to contain Ohio. I'll gladly take the underdog price and back CMU to pull off the outright win.
Click odds to add to your betslip
FAU has topped this number in four of its last five games, with the lone miss coming against a triple option team (Army) that limits possessions. The Owls operate at the fastest tempo in the nation (21.0 seconds per snap) and have great efficiency numbers as well (ninth in standard downs success rate since Week 5).
The Owls are 7-1 O/U on the year, including a run of five consecutive Overs. The defense (134th in EPA per play and 137th in explosiveness allowed in their last four games) will be in over its head as always, while Caden Veltkamp, Easton Messer, and company take advantage of UTSA's secondary (119th in PFF's coverage grade).
I like the Mustangs to score in this matchup at a high clip and I'd play this to 60%. Virginia Tech’s havoc is a legitimate obstacle, but SMU has been unusually good at rescuing drives: it ranks second nationally with 0.57 EPA per play on third and fourth down. Jennings can punish a defense that gets aggressive without ending the possession and he's hard to do that against
SMU’s defense allows 4.58 points per opponent scoring opportunity, 112th nationally. That gives Ethan Grunkemeyer and Tech a route to points even if they cannot control the game. Tech has thrown effectively enough to threaten downfield, while SMU’s defense has been better at preventing long drives than finishing stops once opponents cross the 40. On the other side, the Mustangs produce explosive plays on 9.9% of snaps, eighth nationally
I would consider backing South Florida to win outright on the road as an underdog. The Bulls have one of the G6's top defenses and rank top 10 nationally in points allowed per opportunity (2.58). East Carolina's offense is 125th in available yards percentage (37.3%) and scored just 17 points last week against a Temple defense ranked 115th by SP+.
With the expectation of an all-out rock fight, backing the Fighting Illini in the first half and full game at anything above a field goal is the way to attack this one. Both teams tend to start games fast, ranking inside the top 60 in seconds per play over their first three drives. Just three points separate their first-half scoring averages, too. If Illinois' defense can stay disciplined, the Illini should be in a good position to cover early.
Expect a defensive battle between Illinois and Nebraska. The Fighting Illini have shown improvement defensively over their last three games, but the Cornhuskers have been outstanding all season. With the nation's top third-down defense, Nebraska should help turn this into an all-out rock fight.
With how much the Horned Frogs have struggled to score, I'm backing those struggles to continue while their elite defense keeps the Wildcats in check. If you like TCU +5.5 in the first half, go for it, but I'd hate to see a sloppy first half from TCU leave them down a touchdown at the break.
Both teams are allowing just 10 points per first half this season. The biggest concern is Arizona's ability to score, but I still expect this game to stay below 22.5.
TCU's defense will need to bring its A-game to keep pace with an Arizona offense averaging nearly 35 points per game. The Horned Frogs have struggled offensively, but both teams' slower pace could help keep this matchup closer than the scoring averages suggest.
In this game, we have the largest strength of schedule difference of the week. North Carolina has played the 12th toughest schedule, and Connecticut has played the No. 110 toughest.
On average, North Carolina’s opponents would be favored by 20 points over Connecticut’s opponents. Obviously, that kind of disparity would significantly impact your stats.
BYU's erratic play since upsetting No. 2 Notre Dame has me leaning heavily on Utah in this game. The Utes rank seventh in offensive SP+ and can control the game at home with a rushing attack that ranks fifth in the country in yards per carry (5.4) and a time-of-possession percentage that ranks seventh. It's too tall a task for Bear Bachmeier. Lay the points.
If LJ Martin is out for BYU in the Holy War, I like Utah up to -6.5, but if he's playing, I only like the Utes to cover up to -4.5. Without Martin, BYU puts too much on Bear Bachmeier's shoulders, and that won't fly against a Utah defense ranked 19th in success rate (39.4%). Utah's run-heavy, misdirection offense will also provide plenty of problems for a Cougars defense ranked 74th in rush success rate (45%).
LSU is hitting its stride, while Alabama is faltering, so I'd play the Tigers up to -6.5. Since losing to Kentucky, LSU has outscored its last two SEC opponents 69-17, with Sam Leavitt accounting for eight touchdowns and zero interceptions. The Tigers' defense will be even scarier for an Alabama team that lacks playmakers, especially if Ryan Coleman-Williams doesn't play. LSU's defense is fourth nationally in havoc rate (22.2%).
Usually, you start paying a big premium on great ATS teams this time of year. That's not the case with Louisiana Tech, as the school has only become stronger while out-scoring its last three opponents by a combined 85-20 and covering each spread by at least nine points per game.
Miami almost losing to Florida State and UNC in recent weeks isn't scaring me off. For as good as the Irish are on defense, they haven't seen anything close to this Darian Mensah/Malachi Toney pairing, and allowing BYU to score 28 points and go 8-for-12 on third down (Notre Dame is 64th in opponent third-down conversion rate) shows me that it can be gotten by the right team. This Hurricanes offense is as bankable as anything in the country and should be trusted in a game it's been game-planning for since the season began. I'm taking the points and would do so down to +3.5.
Neither of these programs looked their best last week, but I like Miami to cover +3.5 or better due to its advantage with its playmakers. CJ Carr and Darian Mensah are arguably the two best QBs in college football this year, but Mensah's offense is ranked No. 1 in net adjusted EPA per play and No. 2 in success rate (52.4%) because of who he has around him. In the biggest game of the season for these teams, I expect a close game.
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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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.