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Free College Football Expert and Computer Picks For Every Game Oct. 22, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
34.22 |
-11.5 -110 |
o56.5 -108 |
-461 |
|
|
22.43 |
+11.5 -110 |
u57.5 -115 |
+375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.66 |
-8.5 -110 |
o50.5 -108 |
-350 |
|
|
20.08 |
+8.5 -110 |
u50.5 -105 |
+305 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.89 |
+10.5 -110 |
o54.5 -120 |
+340 |
|
|
32.26 |
-10.5 -105 |
u55.5 -109 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.96 |
+2.5 -105 |
o46.5 -115 |
+116 |
|
|
25.34 |
-2.5 -109 |
u47.5 -110 |
-124 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.36 |
+14.5 -110 |
o49.5 -110 |
+530 |
|
|
33.47 |
-15.0 -109 |
u50.5 -110 |
-649 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.99 |
+2.5 -114 |
o54.0 -110 |
+105 |
|
|
27.47 |
-2.5 -106 |
u54.5 -110 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.14 |
-4.5 -115 |
o44.5 -110 |
-195 |
|
|
19.46 |
+4.5 -105 |
u45.5 -110 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.43 |
-6.5 -115 |
o54.5 -115 |
-250 |
|
|
24.37 |
+6.5 +100 |
u55.5 -110 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.16 |
+10.5 -105 |
o56.5 -110 |
+325 |
|
|
33.49 |
-10.5 -110 |
u56.5 -106 |
-380 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.56 |
-10.5 -110 |
o56.5 -110 |
-420 |
|
|
23.57 |
+10.5 -105 |
u57.5 -118 |
+340 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.72 |
-6.5 -120 |
o50.5 -118 |
-260 |
|
|
21.97 |
+6.5 +102 |
u51.5 -110 |
+230 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.53 |
+19.5 -115 |
o55.0 -113 |
+800 |
|
|
37.07 |
-19.5 -105 |
u55.5 -110 |
-1099 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.76 |
+8.5 -115 |
o51.5 -110 |
+270 |
|
|
31.44 |
-8.5 -105 |
u52.0 -110 |
-325 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.35 |
+20.5 -114 |
o48.0 -115 |
+1100 |
|
|
36.12 |
-20.5 -105 |
u49.5 -110 |
-1500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.01 |
-7.5 -102 |
o41.5 -110 |
-280 |
|
|
17.54 |
+7.5 -112 |
u42.5 -110 |
+245 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.08 |
+3.5 -110 |
o45.5 -115 |
+146 |
|
|
25.53 |
-3.5 +100 |
u46.5 -105 |
-162 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.36 |
-- |
-- |
-- |
|
|
37.48 |
-- |
-- |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.44 |
+3.5 -120 |
o47.5 -106 |
+127 |
|
|
24.55 |
-3.5 +102 |
u47.5 -108 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.87 |
-1.5 -130 |
o52.5 -114 |
-137 |
|
|
25.01 |
+1.5 +105 |
u53.5 -110 |
+130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.62 |
-2.5 -110 |
o39.5 -110 |
-139 |
|
|
19.30 |
+2.5 +105 |
u40.0 -110 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.53 |
-8.5 -110 |
o49.5 -110 |
-350 |
|
|
22.15 |
+8.5 -105 |
u50.0 -110 |
+300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.44 |
+13.5 -105 |
o49.5 -108 |
+450 |
|
|
32.43 |
-13.5 -110 |
u50.5 -110 |
-575 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.68 |
+14.5 -109 |
o50.5 -110 |
+525 |
|
|
32.43 |
-14.5 -105 |
u51.5 -115 |
-599 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.27 |
-6.5 -118 |
o40.5 -110 |
-250 |
|
|
18.22 |
+6.5 +100 |
u40.5 -105 |
+225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.37 |
-3.5 -110 |
o47.5 -104 |
-180 |
|
|
20.80 |
+3.5 -105 |
u47.5 -108 |
+165 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.59 |
-6.5 -115 |
o43.5 -105 |
-250 |
|
|
19.94 |
+6.5 -102 |
u43.5 -104 |
+210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.92 |
-5.5 -112 |
o44.5 -110 |
-218 |
|
|
21.17 |
+5.5 +100 |
u45.5 -115 |
+190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.76 |
+15.5 -111 |
o43.5 -110 |
+550 |
|
|
30.75 |
-15.5 -108 |
u43.5 -105 |
-676 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.65 |
-2.5 -106 |
o63.5 -106 |
-127 |
|
|
31.43 |
+2.5 -105 |
u64.5 -110 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.86 |
+5.5 -110 |
o49.5 -118 |
+180 |
|
|
27.32 |
-5.5 -105 |
u51.5 -110 |
-200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.79 |
+2.5 -110 |
o50.0 -110 |
+114 |
|
|
27.45 |
-2.5 -105 |
u50.5 -105 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.27 |
+3.5 -119 |
o44.5 -105 |
+136 |
|
|
24.05 |
-3.5 +105 |
u45.5 -110 |
-154 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.77 |
-2.5 -105 |
o55.5 -105 |
-130 |
|
|
27.53 |
+2.5 -105 |
u56.5 -109 |
+117 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.68 |
+11.5 -105 |
o47.5 -115 |
+360 |
|
|
30.68 |
-11.5 -108 |
u48.5 -110 |
-430 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.05 |
+14.5 -115 |
o50.5 -108 |
+500 |
|
|
33.12 |
-14.5 -105 |
u51.5 -120 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.55 |
-8.5 -110 |
o51.5 -115 |
-375 |
|
|
21.53 |
+8.5 -110 |
u52.5 -108 |
+310 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.21 |
+13.5 -108 |
o44.5 -115 |
+440 |
|
|
30.56 |
-13.5 -110 |
u45.5 -109 |
-525 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.04 |
+6.5 +100 |
o46.5 -110 |
+215 |
|
|
26.42 |
-6.5 -110 |
u46.5 -108 |
-235 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.11 |
-12.5 -109 |
o52.5 -110 |
-549 |
|
|
19.94 |
+12.5 -104 |
u54.5 -114 |
+430 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.00 |
-1.0 -110 |
o63.5 -108 |
-112 |
|
|
31.93 |
+1.0 -109 |
u63.5 -110 |
-104 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.86 |
-1.5 -110 |
o58.5 -110 |
-118 |
|
|
27.99 |
+1.5 -103 |
u59.5 -115 |
+110 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.70 |
+13.5 -105 |
o55.5 -110 |
+460 |
|
|
34.33 |
-13.5 -105 |
u56.5 -105 |
-550 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.50 |
+2.5 +100 |
o49.0 -114 |
+125 |
|
|
25.67 |
-2.5 -110 |
u49.5 -108 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.17 |
-2.5 -120 |
o50.0 -110 |
-148 |
|
|
23.91 |
+2.5 +105 |
u50.5 -110 |
+135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.21 |
+11.5 -113 |
o51.5 -115 |
+380 |
|
|
32.01 |
-11.5 -113 |
u52.5 -115 |
-440 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.26 |
+8.5 -105 |
o46.5 -110 |
+290 |
|
|
27.99 |
-8.5 -108 |
u46.5 -106 |
-345 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.95 |
+10.5 -110 |
o50.5 -109 |
+285 |
|
|
30.97 |
-10.5 -105 |
u51.5 -116 |
-310 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.34 |
+13.5 -108 |
o61.0 -110 |
+425 |
|
|
37.17 |
-13.5 -108 |
u61.5 -110 |
-520 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.44 |
+3.5 -114 |
o54.5 -104 |
+142 |
|
|
29.43 |
-3.5 +100 |
u54.5 -110 |
-155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.68 |
-2.5 -110 |
o51.5 -105 |
-136 |
|
|
24.71 |
+2.5 -105 |
u51.5 -108 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.65 |
+5.5 -110 |
o40.5 -109 |
+168 |
|
|
24.18 |
-5.5 -105 |
u41.5 -114 |
-190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.17 |
+7.5 -124 |
o56.5 -108 |
+220 |
|
|
32.65 |
-7.5 -103 |
u56.5 -108 |
-250 |
The Dukes rank 28th in available yards gained and 20th in EPA/pass. Add in their strong rushing attack against this weak App State defense, and JMU should clear 35 points without much problem. Play this to 54%.
Play this to 53% as the Dukes push the tempo from start to finish. The game script will see them leading throughout, and they don't sit on the ball when they have an advantage. They rank Top 30 in pace of play when leading after halftime. Look for the Dukes to keep their foot on the gas to push this number north of 55.5 points.
Great number to get in and get out with the Memphis Tigers in the first half. This will mark East Carolina’s toughest test since facing Alabama in Week 1, when the Pirates were 27.5-point underdogs. That was also the last time East Carolina was a double-digit underdog.
Memphis’ defense should make life hell for this inferior East Carolina offense, while the Tigers’ offense should give the Pirates’ defense plenty of problems of its own on Thursday night.
I’m expecting Memphis to control this game, forcing East Carolina to play catch-up and rely on an inefficient passing attack. The Tigers’ ability to generate takeaways and pressure the quarterback should limit the Pirates’ scoring opportunities, making the under an appealing play in what could be a one-sided affair.
Expect a clock-draining first half when Duke and Virginia meet. Both offenses lean heavily on the run and rank among the slower teams in seconds per play, particularly over their first three drives. Long possessions, limited urgency and plenty of punts should help keep the clock moving and the scoring down.
Duke and Virginia should lean on their ground games, keeping the clock moving in a matchup featuring two solid defensive units. The Blue Devils' ability to shut down the run could force Virginia into uncomfortable passing situations, while the Cavaliers' secondary could give Duke problems through the air.
First-half Under 27.5 is playable down to 26.5. Army tends to score more after halftime, while both teams should lean on the run early. Tulsa’s familiarity with Army’s scheme could also help suppress scoring before adjustments kick in.
Under 54.5 is playable up to 55.5. Army plays at the nation's slowest pace, while both teams should lean on long possessions. Tulsa's last two similar matchups closed below 48, making this number look inflated by recent Overs.
NC State hits the road for the first time in four weeks, traveling across the country for a late-night kickoff against Stanford. Coming off a bye week, the Wolfpack face a unique challenge with the travel and unusual start time. The Cardinal have endured tougher competition this season, giving them an edge in this ACC showdown.
In four of Stanford's last five FBS games, it has allowed 35+ points. NC State's offense is a little sporadic, so I'd only play its team total Over up to 32.5, but it has an opportunity to light up the Cardinal. QB CJ Bailey has put up a 72+ QBR in four of his last five games and has the Wolfpack ranked top 40 in pass success rate (47.6%).
Last week’s win over the No. 1 Georgia Bulldogs absolutely raises the Auburn Tigers ceiling, but it took 26 Byrum Brown carries and three Gunner Stockton turnovers to pull it off. In addition to that, you're getting Auburn directly off one of its biggest wins in school history of recent memory. I'm not here to tell you that LSU is a better football team than Georgia but I will say its profile may be more suitable for this matchup.
LSU’s defense has held opponents to 4.35 yards per play and a 39.2% success rate, while Auburn’s unit ranks 31st in adjusted EPA allowed and gives up 5.15 yards per snap. LSU’s offense is good, but its opponent-adjusted efficiency ranks 25th rather than among the elite. Also, I still have not seen enough from Sam Leavitt to trust him making game-defining plays. I don't think his head coach has either. LSU can control field position and reach the low 30s. Auburn landing in the teens leaves enough room for Under 51.5.
With Florida Atlantic's offensive advantage, I like it to cover up to -9.5 in the battle of the Owls. FAu's offense ranks 32nd nationally in net EPA per play and 38th in pass success rate (47.6%). Rice's offense ranks 121st in the country in success rate (39.2%).
Both defenses should dictate the pace early, making the first-half under an appealing play. Indiana and Michigan rank among the nation's top 10 teams in first-half points allowed, each surrendering fewer than seven points per game. With freshman Tommy Carr making his first start, expect Michigan to lean on the run.
Michigan's path to covering starts with a low-scoring affair, as freshman Tommy Carr makes his first collegiate start. Expect Kyle Whittingham to lean on the running game while Indiana's defense continues to limit Big Ten opponents. I project a 20-17 finish, making the under 41 playable down to 40.
Toledo can cover up to -3.5 at home against Western Michigan. The Rockets rank 46th in the country in offensive success rate (46.1%) and 16th in defensive success rate (38.6%). WMU's run-first approach won't cut it.
My power ratings make Kansas a 1-point favorite here, one of the biggest disparities of the week. First, pay attention to the market. Baylor opened as a 6.5-point favorite vs. TCU last week. They closed only a 3.5-point favorite. Baylor would lose the game outright 17-6 and were -1.4 in yards per play. For the season, Kansas is +1.0 in yards-per-play margin while Baylor is +0.7, and Kansas has played the slightly tougher schedule, according to Jeff Sagarin. When you have the better team in the stats that has played the tougher schedule, that usually signifies a best bet, especially when the team you're backing is a home underdog.
My power ratings make Kansas a slight favorite. Kansas is better in yards per play margin and has faced a tougher schedule than Baylor... and they're getting points... at home? That's an auto bet for me. The market was anti Baylor last week, and they got beat outright as a favorite vs TCU. Money came in on Kansas last week and I expect the same this week.
Illinois can start faster without undermining the Oregon full-game angle. The Illini rank 22nd in first-quarter scoring and are coming off a bye, while Oregon ranks 105th and has to travel across two time zones.
Oregon -9.5 is playable up to -10.5. The Ducks’ defense has carried the load since Moore went down, while Illinois ranks near the bottom of the Big Ten in scoring defense and just gave up 31 regulation points to Michigan State.
This matchup has all the makings of an all-defensive showdown, making the first-half under worth a look. Minnesota ranks fourth-slowest in seconds per play over its first three drives and 18th overall. Iowa prefers a faster tempo, but playing on the road could allow the Golden Gophers to dictate the pace. With both defenses expected to shine, this should stay below 20 points before halftime.
Minnesota gets a favorable spot at home after Iowa went through a tough stretch of its own. Coming off a bye, the Hawkeyes could overlook a Golden Gophers team looking to snap its losing streak. P.J. Fleck has Minnesota playing tough at home, and despite Iowa's 5-1 record, I'm grabbing the points with Minnesota, playable down to +6.5.
Hawaii's brutal travel schedule and disappointing 1-6 start create a prime opportunity for Northern Illinois to secure its first win of the season. The Rainbow Warriors must travel across five time zones after a home loss to New Mexico, while NIU gets extra motivation from Jordan Lynch's jersey retirement Saturday. Expect the Huskies to take advantage of the circumstances at home.
Both offenses have had a while to adjust to the injury situations that they're facing, respectively. They may not be operating at peak efficiency, but the diminished expectations in the market create an opportunity for buy-back.
This is speculation that Kamario Taylor is able to suit up in Week 8. State's offense has been dynamic when he's healthy, averaging 6.4 yards per play or better in all four of the games in which he played at 100%. Its defense, however, ranks 122nd in success rate allowed.
UCLA has dominated inferior competition all season, winning by an average of 26 points against teams with losing records. The Bruins have already shown their blowout potential, beating Maryland by 51 points on Sept. 26. Michigan State has covered in two emotional games for Pat Fitzgerald, but this matchup is a different beast. Lay the points with UCLA at home.
I'd play Michigan State at +14 or above. Ty Dieffenbach has as many career interceptions as touchdowns (10), so I don't trust him to create margin against a Sparty team that is 5-2 ATS.
South Carolina has had two weeks to prepare for Tennessee, while the Volunteers are coming off an emotional 26-10 upset of Alabama. With the Gamecocks catching points and Tennessee potentially dealing with a post-upset hangover, I'm backing South Carolina to bring the Vols back down to earth. I currently hold a +3 ticket after the line flipped since Sunday morning. I endore the Gamecocks up to -2.5.
Louisiana can cover -12.5 or better against a Southern Miss team ranked 120th in rush success rate on defense (48.7%). Lunch Winfield has the Ragin' Cajuns ranked 41st in the country in EPA per rush.
Boise State is in play up to -16.5 or me because of how bad Washington State's offense is this season. Wazzu ranks outside the top 130 in pretty much every offensive statistic. Meanwhile, Boise State is top 20 nationally in success rate (49%)
Colorado +13.5 is playable down to +12.5. The Buffaloes just posted their best offensive performance of the season, while Oklahoma State’s pass defense has been shredded over the past two weeks and is now missing S Mose Phillips III.
Under 56.5 is playable down to 55.5. Colorado is missing key offensive pieces, while last week’s final against Utah was inflated by a late touchdown after the teams combined for only 13 first-half points.
Clemson continues to disappoint, and I’m more than happy to keep fading Dabo Swinney and the Tigers. With only four wins against a questionable schedule, their resume leaves plenty to be desired. The North Carolina win was far less impressive than the final score suggests, and I’m grabbing the points with a team I believe is being undervalued in this matchup.
My power ratings make Virginia Tech a 1-point favorite, again one of biggest disparities of the week. Since the start of the season, I have downgraded Clemson’s power rating by 8.5 points. That’s the second-biggest downgrade among Power Four teams behind only Oregon. Virginia Tech has been significantly better in the stats, as they are outgaining their opponents by 135 yards per game while Clemson is only outgaining their opponents by 10 yards per game. Virginia Tech’s defense does not get enough credit in the market. Virginia Tech is No. 1 in stuff rate, No. 1 in tackles for loss, and No. 2 in Havoc. They're taking on a Clemson team that has the worst starting quarterback in the Power Four. True freshman Tait Reynolds is No. 127 in QBR. He leads a Clemson offense that ranks No. 127 in EPA/Play and No. 126 in success rate.
My power ratings only make USC a one-point favorite. USC finally got a big win on the east coast, beating Penn State, but reality is, Wisconsin is better than Penn State, and yet the Penn State - USC line was a pick, so I think this line is a market overreaction. Wisconsin is also better in yards per play margin and they've faced a tough schedule.
Ole Miss has bounced back in a big way from its loss to Florida, outscoring Vanderbilt and Missouri 82-20 over the last two weeks. Meanwhile, Texas is officially on quit watch after losing to a freshman making his first collegiate start. Now, the Longhorns must face Trinidad Chambliss and a dangerous Rebels squad. I'm backed against the wall here, Ole Miss or nothing.
This is a huge week for Steve Sarkisian and Arch Manning, and I expect them to rise to the occassion and score 29+ points against Ole Miss. The Rebels defense ranks just 89th nationally in EPA per drive and is allowing 29.2 points per game against ranked opponents.
This could be the best G6 game of the season, and with major CFP implications, I like New Mexico to cover -4.5 or better. The Lobos have the best defense in the G6, ranking first nationally in havoc rate (26%), and home-field advantage in Albuquerque will be huge after Jason Eck's push to try to sell it out. North Dakota State has been impressive, but its inconsistent offense (7 points against UNLV) will be a problem against the Lobos.
Although Utah struggled to close out its win against Colorado last week, I like the Utes up to -9.5 at home with College GameDay in Salt Lake City. The Cougars are coming off a big shootout win and are in a letdown spot against a Utah team with an offense and defense both ranked top 20 by SP+. Houston's poor defensive play (111th in net EPA per play) is bound to catch up to it against Devon Dampier.
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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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