Exclusive $60 Bonus
CODE: MAX60
Free College Football Expert and Computer Picks For Every Game Oct. 15, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.17 |
-4.5 -110 |
o47.5 -110 |
-200 |
|
|
21.50 |
+4.5 -105 |
u48.5 -115 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.28 |
-3.0 -117 |
o45.5 -108 |
-160 |
|
|
21.55 |
+3.0 -103 |
u46.5 -110 |
+145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.14 |
+14.5 -105 |
o69.5 -115 |
+550 |
|
|
42.84 |
-14.5 -103 |
u71.5 -112 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.02 |
-6.5 -119 |
o55.5 -105 |
-255 |
|
|
22.95 |
+6.5 +100 |
u55.5 -107 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.81 |
-1.5 -105 |
o48.5 -115 |
-115 |
|
|
24.31 |
+1.5 -110 |
u49.5 -105 |
+100 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.43 |
+3.5 -108 |
o50.5 -105 |
+150 |
|
|
27.75 |
-3.5 -107 |
u50.5 -108 |
-165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.71 |
+1.5 -109 |
o62.5 -112 |
+107 |
|
|
32.43 |
-1.5 -105 |
u64.5 -110 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.40 |
+12.5 -107 |
o57.5 -110 |
+450 |
|
|
36.09 |
-12.5 -105 |
u58.0 -110 |
-450 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.86 |
+6.5 +100 |
o46.5 -120 |
+215 |
|
|
27.16 |
-6.5 -112 |
u47.5 -110 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.38 |
+9.5 -108 |
o51.5 -105 |
+300 |
|
|
30.89 |
-9.5 -107 |
u52.5 -118 |
-334 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.32 |
+0.0 -278 |
o42.5 -108 |
-230 |
|
|
18.55 |
+0.0 +195 |
u43.5 -110 |
+210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.99 |
-7.5 +100 |
o48.5 -110 |
-295 |
|
|
20.53 |
+7.5 -114 |
u49.5 -110 |
+250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.84 |
+4.5 -106 |
o55.5 -105 |
+168 |
|
|
30.37 |
-4.5 -105 |
u55.5 -110 |
-185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.11 |
+11.5 -110 |
o51.5 -105 |
+360 |
|
|
32.56 |
-11.5 -105 |
u51.5 -110 |
-420 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.19 |
+2.5 -102 |
o54.5 -118 |
+120 |
|
|
29.58 |
-2.5 -110 |
u55.5 -110 |
-134 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.25 |
+15.5 -110 |
o56.5 -110 |
+500 |
|
|
37.16 |
-15.5 -108 |
u57.5 -109 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.91 |
-3.5 +100 |
o49.5 -115 |
-160 |
|
|
24.55 |
+3.5 -110 |
u50.5 -110 |
+150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.72 |
+4.5 -107 |
o55.5 -115 |
+175 |
|
|
31.37 |
-4.5 -110 |
u56.5 -107 |
-190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.58 |
+21.5 -115 |
o46.5 -110 |
+1200 |
|
|
35.02 |
-21.5 -105 |
u47.0 -110 |
-1800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.34 |
+6.5 -110 |
o41.5 -105 |
+205 |
|
|
24.80 |
-6.5 -105 |
u41.5 -110 |
-220 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.92 |
-6.5 -115 |
o42.5 -115 |
-250 |
|
|
17.58 |
+6.5 +100 |
u43.5 -112 |
+215 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.34 |
+15.5 -110 |
o48.5 -110 |
+525 |
|
|
33.44 |
-15.5 -105 |
u49.5 -110 |
-649 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.77 |
+8.5 -110 |
o40.5 -110 |
+260 |
|
|
23.64 |
-8.5 -110 |
u40.5 -106 |
-300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.35 |
+10.5 -115 |
o55.5 -110 |
+320 |
|
|
33.27 |
-10.5 -105 |
u56.5 -114 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.77 |
+20.5 +100 |
o49.5 -108 |
+1100 |
|
|
36.25 |
-20.5 -115 |
u49.5 -110 |
-1408 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.60 |
-6.5 -110 |
o53.0 -110 |
-235 |
|
|
23.36 |
+6.5 -105 |
u53.5 -108 |
+210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.98 |
+7.5 -120 |
o42.0 -115 |
+220 |
|
|
24.60 |
-7.5 +100 |
u43.5 -115 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.78 |
+6.5 -118 |
o58.5 -110 |
+190 |
|
|
32.43 |
-6.5 -108 |
u59.0 -109 |
-215 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.00 |
-7.5 -110 |
o50.5 -114 |
-315 |
|
|
23.77 |
+7.5 +100 |
u51.0 -110 |
+270 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.54 |
+1.5 -120 |
o48.5 -104 |
-102 |
|
|
24.56 |
-1.5 +100 |
u49.5 -115 |
+100 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.53 |
+10.5 -115 |
o45.5 -115 |
+315 |
|
|
29.30 |
-10.5 -105 |
u46.5 -105 |
-350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.53 |
+3.5 -120 |
o47.0 -110 |
+135 |
|
|
25.45 |
-3.5 +105 |
u47.5 -112 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.96 |
-3.5 -115 |
o46.5 -108 |
-184 |
|
|
21.09 |
+3.5 -105 |
u46.5 -105 |
+165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.16 |
+3.5 -105 |
o48.5 -115 |
+150 |
|
|
26.99 |
-3.5 -108 |
u49.5 -110 |
-167 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.44 |
+18.5 -112 |
o52.5 -105 |
+700 |
|
|
35.19 |
-18.5 -105 |
u52.5 -110 |
-1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.25 |
+6.5 -113 |
o49.5 -110 |
+190 |
|
|
29.20 |
-6.5 -103 |
u50.5 -110 |
-215 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.70 |
+21.5 -109 |
o55.5 -115 |
+1200 |
|
|
39.91 |
-21.5 -105 |
u56.5 -110 |
-1800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.29 |
+6.5 -110 |
o47.5 -115 |
+195 |
|
|
27.04 |
-6.5 -105 |
u48.5 -110 |
-218 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.41 |
-6.5 -120 |
o62.5 -105 |
-250 |
|
|
27.26 |
+6.5 +100 |
u63.5 -115 |
+230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.70 |
+14.5 -106 |
o41.5 -115 |
+550 |
|
|
29.37 |
-14.5 -110 |
u42.5 -109 |
-699 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.75 |
+20.5 +100 |
o44.5 -120 |
+1100 |
|
|
33.97 |
-20.5 -110 |
u45.5 -105 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.53 |
+4.5 -108 |
o62.0 -112 |
+165 |
|
|
33.32 |
-4.5 -108 |
u63.5 -115 |
-184 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.94 |
+2.5 +100 |
o42.5 -113 |
+122 |
|
|
24.19 |
-2.5 -115 |
u43.5 -118 |
-138 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.13 |
-10.5 -110 |
o46.5 -109 |
-395 |
|
|
19.68 |
+10.5 -105 |
u46.5 -105 |
+350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.20 |
+6.5 +100 |
o43.5 -108 |
+215 |
|
|
26.20 |
-6.5 -110 |
u43.5 -110 |
-235 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
35.42 |
-14.5 -110 |
o55.5 -110 |
-649 |
|
|
22.29 |
+14.5 -105 |
u56.0 -110 |
+500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.32 |
+7.5 -139 |
o55.5 -105 |
+230 |
|
|
31.30 |
-7.5 -109 |
u56.5 -119 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
36.98 |
-15.5 -108 |
o56.0 -115 |
-750 |
|
|
21.71 |
+15.5 -110 |
u57.5 -110 |
+550 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.95 |
-7.5 +102 |
o45.5 -115 |
-285 |
|
|
20.02 |
+7.5 -110 |
u46.5 -107 |
+250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.13 |
-14.5 -113 |
o48.0 -115 |
-649 |
|
|
17.14 |
+14.5 -105 |
u48.5 -105 |
+600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.46 |
-14.5 -110 |
o49.5 -108 |
-699 |
|
|
16.93 |
+14.5 -110 |
u49.5 -109 |
+550 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.55 |
-8.5 -115 |
o52.5 -110 |
-345 |
|
|
23.01 |
+8.5 -105 |
u53.5 -110 |
+300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.98 |
-7.5 -105 |
o45.5 -105 |
-285 |
|
|
19.93 |
+7.5 -105 |
u45.5 -105 |
+260 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.50 |
-14.5 -110 |
o43.5 -120 |
-676 |
|
|
14.98 |
+14.5 -110 |
u45.0 -110 |
+600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.48 |
+7.5 -124 |
o51.5 -110 |
+220 |
|
|
30.92 |
-7.5 +100 |
u52.0 -108 |
-245 |
East Carolina is my favorite side in this matchup, laying 4.5 points on the road against UAB. The Pirates have the defensive chops to slow down the Blazers, who have struggled through the air and dealt with turnover issues. Keep an eye on the line, as a move to -3 would be ideal.
The Pirates have one of the fastest-tempo offenses in college football, averaging 23.25 seconds per play, which ranks ninth nationally. They rank fifth nationally in seconds per play across their first three drives, showing just how quickly East Carolina wants to get things moving. The goal is to exhaust opponents as quickly as possible. I leaned toward the first-half under, but with how fast the Pirates will want to come out of the gate, getting in and getting out with East Carolina is the move in the first half.
First-half Under 27.5 is playable down to 26.5. This is mainly a combo leg that boosts the payout, but both teams score more in the second half and Memphis leads the country in red-zone touchdown rate allowed.
Over 55.5 is playable up to 56.5. Both offenses play fast and create explosive plays, while AAC-leading passer Marcus Stokes faces a Tulane defense that struggles to generate pressure and grades near the bottom nationally against the pass.
Purdue is starting to look like an honest football team after back-to-back wins over Illinois and Minnesota. The Boilermakers have a favorable spot against a Washington team with three losses and an underwhelming resume. With the Huskies traveling across two time zones, I'm backing Purdue to keep its winning ways alive and cover the 3.5-point spread.
Purdue's defense is ranked 130th in net EPA per drive, and even with the QB uncertainty for Washington, I like its team total Over at 23.5 or better. The Huskies lean on their passing attack, and the Boilermakers are at their worst at stopping the pass, ranking 115th in pass success rate on defense (50%).
I would take James Madison to cover as much as -16.5 against a Georgia State team with an inflated record. The Panthers are 4-1 but those wins have come against teams that are a combined 5-19. JMU is 5-1 ATS and covering by an average of 17.5 points at home.
Ball State has endured a brutal schedule through six games, including road tests at Ohio State, Liberty and Northwestern. Now, the Cardinals get a more manageable matchup against Bowling Green, which is coming off two straight wins over Sacramento State and Miami (Ohio). With Ball State catching 7.5 points at some books, I’m backing the road underdog to keep this one competitive and come out on top.
Northwestern has proven it can compete with the best, taking down Penn State and keeping things close against Indiana. Meanwhile, Michigan State is coming off a tough overtime loss to Illinois. Despite the revenge narrative surrounding Pat Fitzgerald, I'm backing the Wildcats to cover the 7.5.
There's definitely a case to be made for Florida having a "one last stand" type game after two straight blowouts, and that may keep this close...for a while. But eventually Texas has too many advantages for them not to show.
Florida’s offense is (still) legit, ranking 8th in EPA per pass, but the defense has been a sieve. The Gators rank 123rd in success rate allowed (49.7%) and dead last at 136th in 3rd/4th down success allowed, so Texas doesn’t need to be explosive to sustain drives. They need to be solid, which is pretty much the definition of an Arch Manning-led offense.
On the other side, the Longhorns’ defense ranks 2nd nationally in adjusted EPA per play, 9th against the run and 11th against the pass, while allowing just 29.9% of available yards (5th). Florida won’t trade scores all afternoon. I’ll lay it.
Florida’s efficient offense faces a brutal test against a Texas defense ranking fifth in early-down EPA allowed and sixth in defensive EPA per drive. With the Gators already struggling on third-and-long, expect stalled drives and contested scoring opportunities inside the red zone. On the other side, a methodical Texas offense ranking 70th in available yards gained will lean on clock-bleeding drives rather than quick-strike scores.
This number is juicy, but there's value in it even still. Even if Kamario Taylor plays, the foot injury that limited him against Alabama makes it hard to expect his usual production, and Mississippi State’s path to 24 points is pretty narrow.
LSU ranks 10th in defensive EPA per drive and 12th in early-down EPA per play allowed, which puts opponents behind the chains before 3rd down even arrives. If Taylor can’t go, Billy Puckett or AJ Swann takes over in a hostile road environment. I don't like their chances.
The Bulldogs' passing game has carried this offense, but it runs into an LSU secondary that allows only a 34.1% passing success rate, the 6th in the country. If Taylor is out or limited, the Bulldogs will be relying on a backup against one of the toughest pass defenses they’ll see all season.
LSU isn’t built to light up the scoreboard either. Just watch what its quarterback has looked like this season.
Additionally, the Tigers rank 43rd in offensive EPA per play and 63rd in rushing success rate, so long, clock-eating drives are more likely than quick scores. With LSU allowing only a 36% conversion rate on 3rd and 4th downs, points should be harder to come by than this total suggests.
Ohio State -2.5 first quarter gives me exposure to the Buckeyes' fast starts while preserving my Indiana full-game angle. Ohio State ranks second nationally in first-quarter scoring, while Indiana has been much stronger after halftime.
Over 49.5 is playable as long as it stays below 51.5. Hoover and Sayin lead the Big Ten in passer efficiency, both offenses have elite perimeter weapons, and each ranks in the 90th percentile or better in explosive-play rate.
Victory Cannon on the line? Give me Western Michigan to cover up to -8.5. The Broncos have one of the best run games in the country, ranking 25th nationally in rush success rate (48.5%). That will be a problem for a CMU defense that's second-worst in the country in rush success rate (53.6%).
I like the hook here which is a big deal around a key number. I'm not buying this Texas Tech team. Their last two games were miracle covers. Both teams have played a similar strength of schedule, but Arizona State has a slightly better yards per play margin, so I'll take advantage at this number.
My power ratings make Toledo a 7.5-point favorite, which is a significant disparity through the key number of 7. I'm buying Toledo “low” off an upset loss to Buffalo as 18.5-point favorites. Before that game, Toledo was the best team in the MAC at 4-1. Toledo still ranks No. 15 nationally with a plus-2.0 yards per play advantage over their opponents. Even though Eastern Michigan has a winning record, they rank No. 118 in yards per play margin (-1.0). That’s despite facing one of the easiest schedules in the country.
This is an ultimate buy-low spot. Toledo lost outright last week as an 18.5-point favorite. Prior to that, they were one of the more consistent teams in the country. Toledo is the much better team here, coming in at +2.0 in yards per play margin while Eastern Michigan is -1.0. That usually signifies a double-digit point spread. Let's take advantage.
With a lean toward the under and Penn State +6.5 for the full game, points should be at a premium in this matchup. Backing the Nittany Lions in the first half is well worth the squeeze. Penn State ranks 26th in first-half scoring, while Michigan sits 82nd, averaging just 11.6 first-half points.
Zero trust in Underwood. Penn State everything!
Penn State has the offensive edge in this matchup, while Michigan continues to struggle to put games away. Bryce Underwood has thrown three interceptions over the Wolverines' last two losses, and their offense managed just 180 total yards against Minnesota. With a more efficient offense and plenty of room to compete, I'm backing the Nittany Lions to cover +6.5.
My power ratings make this spread 6.5, so a bit of a disparity there to start. Ole Miss is the much fresher team here, off a bye, off an easy blowout win where they won by 35. Meanwhile, how many games in a row can we expect an A+ effort out of Missouri who I have concerns about.
My power ratings make Mississippi a 6.5-point favorite, and we’re trading at Kalshi because they have one of the best prices on the market. Those power ratings also don’t take into consideration the energy level of a team. I have concerns about a Missouri team that's playing their seventh straight week and coming off big-time efforts vs. Florida and Texas A&M. You can make a case that we’re selling “high” off two point spread covers by a combined 50 points. Meanwhile, Mississippi should be fresh. The Rebels had a bye two weeks ago and then last week easily dispatched Vanderbilt by 35 points.
Alabama's offense is one of the best in the country, and I'd take the Tide to hit the Over on their team total at 30.5 or better. Keelon Russell has put up an 80.9+ QBR in four straight games while accounting for 14 TDs. He's going to be a problem for a Tennessee defense that's susceptible to the pass. The Vols' defense ranks 70th in pass success rate (43.9%).
I like the Over at 51.5 or better, primarily because of Alabama's offense. Keelon Russell ranks third nationally in QBR (90.0) and has the Tide ranked No. 18 in the country in pass success rate (51.6%). But Tennessee's run game should help the Over hit, too. DeSean Bishop is top 10 nationally in rushing yards after contact (465) and runs of 10+ yards (18). He should help the Vols score 20+.
Get your popcorn ready for Goose Crowder vs. Lunch Winfield. The Over is in play for me up to 51.5, given how strong the run games are for each team. Troy is 42nd nationally in EPA per rush and leading the conference in rushing yards per game (220.4). Louisiana is 39th nationally in EPA per play and top 50 in both EPA per pass and rush.
Oregon State is 6-0 ATS and covering by an average of 19 points, so I like the Beavers up to -20.5. Against its fellow Pac-12 holdover, Oregon State's offense should make the difference. Braden Atkinson and Jesse Legree have the Beavers' offense ranked fifth nationally in net EPA per play and 11th in success rate (51%). Wazzu has one of the worst offenses in college football.
UCLA has been perfect at 5-0 straight up and against the spread, but the Bruins could be due for a letdown after a busy travel schedule. Wisconsin has won four straight games by an average of 25 points and enters well-rested after its Oct. 3 win over Michigan State. The Badgers have the edge to pull off the road upset.
Both quarterbacks are turnover-prone, and both defenses are potent, creating the recipe for a defensive touchdown. Colton Joseph has thrown 15 interceptions since the start of last season, and UCLA's defense is tied for the national lead in turnovers forced (19). Ty Dieffenbach had 11 turnover-worthy passes on just 163 attempts at Cal Poly.
BYU has only played one top ten team the past two seasons, playing Texas Tech twice. They got destroyed in both games. It's all on their QB and I question if he can hold up vs perhaps the best defense in all of college football. In a big game like this, I believe Notre Dame has a much greater ability to elevate their play. BYU might be a top 10 ranked team, but they're barely in the top 20 in my power ratings.
Notre Dame gets its first true road test of the season in Provo, and I am more than happy to fade the Fighting Irish. BYU enters Week 7 undefeated and 5-0 ATS, with Kalani Sitake and his squad primed for their biggest game of the season. I am backing the Cougars to keep this one close and would take BYU down to +10 at the most.
Utah -3.5 first quarter is mainly a payout-boosting combo leg. I trust the Utes' superior underlying profile more during the scripted portion of the game, while Colorado can still settle in and stay within the full-game spread.
Under 49.5 is playable down to 48.5. Colorado's run defense matches up well with Utah's preferred attack, while the Utes play at a slow tempo. Fewer possessions also correlate nicely with my Buffaloes spread pick.
New Mexico is 5-0 ATS, and I like the Lobos to cover as many as 16.5 points against a struggling Hawaii team. New Mexico's defense is the best in the G6 and ranks No. 1 nationally in havoc rate (25.8%) and No. 2 in success rate (34.5%). Hawaii has scored more than 16 points just once in its last five games.
New Mexico will thrive by creating chaos (second in front seven havoc on defense), and the offense will be content running the ball and draining the clock (132nd in seconds per snap) against an overmatched opponent.
Nebraska +2.5 first quarter is mainly a combo-enhancing leg. The Cornhuskers have the better early scoring margin, rushing profile, and third-down offense, giving them a path to start fast before Oregon takes control later.
Over 51.5 is playable up to 52.5. Oregon plays at one of the fastest tempos in the country, and Brock Thomas gave the offense life last week. I’m expecting the Ducks to push the pace and approach 40 points.
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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.
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