College Football Player Props for Week 2
Five players the prop markets are mispricing in Week 2.Read more
Free College Football Expert and Computer Picks For Every Game Sept. 11, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.79 |
+3.5 -119 |
o52.5 -115 |
+136 |
|
|
29.30 |
-3.5 +105 |
u54.5 -110 |
-150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.78 |
-4.5 -110 |
o51.5 +100 |
-200 |
|
|
24.30 |
+4.5 -105 |
u52.0 -110 |
+180 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.80 |
+3.5 -110 |
o45.5 -110 |
+145 |
|
|
26.44 |
-3.5 +100 |
u47.5 -121 |
-162 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.77 |
+20.5 -115 |
o48.0 -110 |
+800 |
|
|
34.52 |
-20.5 -105 |
u48.5 -112 |
-1099 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
37.09 |
-23.5 -115 |
o50.5 -110 |
-2000 |
|
|
15.02 |
+23.5 +100 |
u51.0 -110 |
+1500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.35 |
-23.5 -107 |
o54.5 -115 |
-2000 |
|
|
15.45 |
+23.5 -105 |
u55.5 -109 |
+1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.54 |
+15.5 -115 |
o49.5 -115 |
+600 |
|
|
33.66 |
-15.5 -105 |
u51.0 -108 |
-676 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.78 |
+18.5 -115 |
o48.0 -112 |
+700 |
|
|
34.51 |
-18.5 -105 |
u50.0 -120 |
-901 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.74 |
+0.0 -233 |
o43.5 -105 |
-205 |
|
|
18.18 |
+4.5 -105 |
u43.5 -110 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.31 |
+7.5 -125 |
o56.0 -110 |
+215 |
|
|
30.52 |
-7.5 +112 |
u56.5 -108 |
-235 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.88 |
-2.5 -120 |
o49.5 -110 |
-145 |
|
|
24.08 |
+2.5 +110 |
u50.5 -112 |
+135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
7.43 |
+40.5 -105 |
o55.5 -105 |
+12500 |
|
|
49.46 |
-40.5 -105 |
u55.5 -108 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.95 |
+2.5 -114 |
o65.5 -115 |
+110 |
|
|
33.45 |
-2.5 -105 |
u67.5 -111 |
-122 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.42 |
-9.5 -110 |
o48.5 +100 |
-375 |
|
|
20.28 |
+9.5 +100 |
u48.5 -110 |
+325 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
5.23 |
+44.5 +100 |
o54.5 -115 |
+5500 |
|
|
49.75 |
-44.5 -108 |
u55.5 -108 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.65 |
+18.5 -115 |
o49.5 -110 |
+650 |
|
|
33.55 |
-18.5 -105 |
u50.5 -115 |
-900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.15 |
-11.5 -110 |
o51.5 -115 |
-450 |
|
|
22.92 |
+11.5 -108 |
u52.5 -110 |
+400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.93 |
+1.5 -115 |
o54.5 -115 |
-108 |
|
|
29.38 |
-1.5 +100 |
u55.5 -114 |
-105 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.77 |
+8.5 -132 |
o47.5 -110 |
+260 |
|
|
29.45 |
-8.5 -101 |
u48.5 -112 |
-295 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.59 |
+7.5 -115 |
o56.5 -105 |
+235 |
|
|
33.06 |
-7.5 +100 |
u57.5 -128 |
-260 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.90 |
+6.5 -115 |
o51.5 -105 |
+186 |
|
|
29.29 |
-6.5 -105 |
u51.5 -110 |
-215 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.51 |
+3.5 -105 |
o56.5 -110 |
+154 |
|
|
31.23 |
-3.5 -105 |
u57.5 -115 |
-170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.26 |
+27.5 -105 |
o55.5 -108 |
+2000 |
|
|
40.81 |
-27.5 +100 |
u55.5 -108 |
-3030 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.54 |
+10.5 -115 |
o53.5 -110 |
+305 |
|
|
33.83 |
-10.5 +100 |
u54.5 -110 |
-360 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.77 |
-3.5 +100 |
o57.5 -109 |
-160 |
|
|
27.91 |
+3.5 -115 |
u58.5 -115 |
+140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.59 |
+21.5 -110 |
o54.5 -111 |
+1000 |
|
|
38.11 |
-21.5 -104 |
u55.5 -120 |
-1350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.43 |
+2.5 -105 |
o50.0 -110 |
+115 |
|
|
26.18 |
-2.5 -110 |
u50.5 -105 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.47 |
+10.5 -112 |
o47.5 -108 |
+340 |
|
|
27.99 |
-10.5 +100 |
u47.5 -108 |
-400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.36 |
+9.5 -110 |
o56.5 -105 |
+285 |
|
|
31.97 |
-9.5 -106 |
u56.5 -110 |
-325 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
34.17 |
-11.5 -110 |
o55.5 -105 |
-450 |
|
|
22.25 |
+11.5 -106 |
u56.5 -120 |
+390 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.36 |
+13.5 -108 |
o56.5 -110 |
+430 |
|
|
33.92 |
-13.5 -110 |
u57.5 -115 |
-520 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.88 |
+8.5 -110 |
o54.5 -105 |
+275 |
|
|
32.48 |
-8.5 -105 |
u54.5 -108 |
-305 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
10.08 |
+31.5 -120 |
o50.5 -108 |
+3500 |
|
|
40.41 |
-31.5 +100 |
u51.5 -110 |
-5000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.17 |
-13.5 -108 |
o51.5 -105 |
-535 |
|
|
18.81 |
+13.5 +100 |
u51.5 -110 |
+460 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.70 |
+10.5 -120 |
o49.5 -105 |
+310 |
|
|
28.42 |
-10.5 +100 |
u49.5 -108 |
-375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.75 |
+12.5 -110 |
o54.5 -105 |
+380 |
|
|
32.85 |
-12.5 -108 |
u55.5 -115 |
-450 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.29 |
+35.5 -108 |
o55.5 -109 |
+5000 |
|
|
44.23 |
-35.5 +100 |
u56.0 -110 |
-10000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.64 |
+0.0 -200 |
o58.5 -110 |
-192 |
|
|
27.39 |
+0.0 +155 |
u58.5 -108 |
+170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.73 |
+14.5 -119 |
o40.5 -110 |
+500 |
|
|
28.32 |
-14.5 +100 |
u41.5 -114 |
-575 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.72 |
+20.5 -109 |
o54.5 -115 |
+950 |
|
|
35.56 |
-20.5 +100 |
u55.5 -110 |
-1200 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
39.42 |
-25.5 -105 |
o53.5 -105 |
-3000 |
|
|
12.29 |
+25.5 -110 |
u53.5 -105 |
+1700 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.88 |
+1.5 -110 |
o49.5 -110 |
+104 |
|
|
26.31 |
-1.5 -104 |
u50.5 -110 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.84 |
+33.5 -110 |
o56.5 -110 |
+3300 |
|
|
42.40 |
-33.5 -112 |
u57.5 -110 |
-8000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
8.98 |
+47.5 -115 |
o60.0 -110 |
+20000 |
|
|
54.41 |
-47.5 -105 |
u60.5 -108 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.10 |
+0.0 -139 |
o47.0 -110 |
-125 |
|
|
22.54 |
+0.0 +114 |
u47.5 -110 |
+112 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.11 |
+13.5 -115 |
o54.5 -115 |
+420 |
|
|
36.80 |
-13.5 -105 |
u55.5 -112 |
-500 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.20 |
+18.5 -110 |
o44.5 -110 |
+750 |
|
|
30.21 |
-18.5 -105 |
u45.5 -115 |
-950 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.06 |
+31.5 -115 |
o59.0 -111 |
+3500 |
|
|
44.46 |
-31.5 +100 |
u59.5 -108 |
-9000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.73 |
+7.5 -119 |
o49.5 -110 |
+250 |
|
|
28.48 |
-7.5 +100 |
u50.5 -110 |
-275 |
In Week 0, Virginia threw the ball just 11 times and ran it 57 times. I expect a similar approach against a Norfolk State team that likely won't score more than three points against a defense ranked in the Top 10 in havoc rate (25.5%). I have Virginia winning 48-0.
NC State had just 168 yards in Week 0, and CJ Bailey put up a 57.1% adjusted completion rate with two turnover-worthy plays. If Bailey is still sporadic, Richmond should be in position to cover +30.5 or better. The Spiders are 3-3 ATS in their last six against P4 teams under Russ Heusman.
Rutgers lost to UMass, but UMass' head coach, Joe Harasymiak, is a better coach than Bill O'Brien, and Pop Watson is a better QB than Mason McKenzie. McKenzie completed 51.4% of his passes, racking up three turnover-worthy plays, and averaging 3.26 seconds to throw in a Week 1 loss to Cincinnati. With KJ Duff and Antwan Raymond carrying the offensive load, Rutgers can keep this close.
Rutgers is looking to bounce back after an embarrassing Week 1 loss to UMass as a nearly 30-point favorite. Now, the Scarlet Knights head to Boston as 3.5-point underdogs against a Boston College team that also opened the season with a loss. The Eagles were 7.5-point underdogs against Cincinnati and struggled on both sides of the ball, turning the ball over and allowing more than 250 rushing yards. Rutgers has plenty of returning talent, including along the offensive line and at running back, where Antwan Raymond rushed for more than 1,200 yards last season. Week 1 was rock bottom. Rutgers has the opportunity to start climbing out Friday night.
This is just the second road start of Missouri QB Austin Simmons' career, and its in the most hostile environment as the Border War returns for a second straight year. Missouri also won't have All-American running back Ahmad Hardy, which should help Kansas cover a seveneth straight game at home as an underdog.
Army's offense ran for 569 rushing yards in Week 1 and was Top 10 in the country in offensive success rate (65.3%). Meanwhile, South Florida managed just over 200 yards against FIU. I like the Black Knights to cover up to -5.5.
I make Army a five-point favorite. South Florida had a very misleading Week 1 result where they were outgained by 173 yards but won the game by 10 thanks to some turnover luck. Army ran for an inane 569 yards in its Week 1 win, a 59-3 victory over the Bryant Bulldogs. This is a program that loves to run the football and I think they'll run right over South Florida on Saturday.
It was the smoothest of sailings in Matt Campbell's first game on the Penn State sideline, and Saturday's affair against Temple provides another opportunity to see what he has. Temple ran for more than 200 yards and only threw the ball 16 times for 142 yards in its 38-14 win over FCS Rhode Island, but Penn State held Marshall to just 1.7 yards per carry on 26 tries. I suspect another beatdown in favor of the Nittany Lions.
I think Oklahoma State can move the football even after scoring just 10 points last week in a game where they had well over 300 yards. Expect a fast tempo as both teams were well above average when it came to plays per minute last week. I thought Oregon should've won by more last week in a game where they had almost 500 yards. I think both offenses will be more efficient in this one.
Oregon is 9-8 Over/Under in non-conference games during the Lanning era.
Oklahoma State’s 10-point effort last week was misleading. The Cowboys moved the ball well, converting 27 first downs vs. Tulsa but were undone by four turnovers.
Mario Craver averaged a robust 3.25 yards per route run and has an established connection with quarterback Marcel Reed. He's in store for a huge season as he steps into bigger production with KC Concepcion gone to the Cleveland Browns in round one of the NFL Draft. Arizona State loses nine starters to a defense with a big question mark at pass rush
Texas A&M is committed to running the ball, ranking Top 3 in rushing last year. That dedication should keep the game clock running. The Aggies' defense is also a top unit -- it just held its Week 1 opponent to 67 total yards.
We got two defensive-minded head coaches, Whittingham and Oklahoma's Brent Venables, with better defensive personnel. Oklahoma is 7-9 Over/Under (O/U) vs. ranked opponents since hiring Venables in 2022.
This is a rare instance where I'll say that the underdog is live. No one will go crazy about App State beating Maine last week, but let's give them some credit for winning by 52 as a 21-point favorite. The roster has had some nice additions while East Carolina looks like they might have trouble overcoming losses from last season including both coordinators.
Both of these teams have top G6 offenses, but only one has a somewhat competent defense. UTSA's ground game should run wild against a Texas State defense ranked 132nd by SP+. The Road Runners should only need a few defensive stops to pull off the upset.
Based on my projected pace for this game, I feel stronger about the first-half Under than the full-game one. However, there's enough explosiveness on the field, especially with Alabama, that these offenses could eventually erupt. Plus, DeBoer and Stein are offensive-minded coaches.
Regardless, the Crimson Tide have gone Under their team total in five of the school's last six away games, and the squad's early-down EPA/play was in the 91st percentile of college football last week, per GameOnPaper.com.
Give me the Under 49.5 (down to 47.5) in a matchup featuring two first-year starting quarterbacks and plenty of incentive to pound the rock. Kentucky ranks 112th nationally in returning offensive production, while Alabama sits 119th, per ESPN's Bill Connelly.
This gives me less confidence that either offense will consistently move the ball against SEC competition. Alabama is also 6-12 Over/Under in SEC games during the DeBoer era, while Connelly's projected score has the Crimson Tide winning 28-19.
Carr's offensive line allowed too much pressure against Wisconsin, but he will have all day to throw against a lowly Rice defense that surrendered 32.9 ppg last year while ranking dead last in explosives allowed. Carr averaged 2.0 passing touchdowns per game a year ago, but that was his first year as a starter, and 29 touchdowns were siphoned off to the superstar running back duo of Jeremiyah Love and Jadarian Price. The Heisman contender will shine in a very advantageous matchup.
The Notre Dame Fighting Irish saw their offense take a long time to get going against a weak Wisconsin Badgers defense, and they'll be playing on short rest on Saturday. None of this changes the outcome, but it will keep the margin down a bit, as the Irish will be happy to rotate players and let the clock run. I'm backing the Rice Owls to cover at +42.5 or more.
BYU is in desperate need for new pass-catchers to emerge after losing their top three from a year ago who combined for 166 receptions for 2,350 yards and 14 touchdowns. Oregon transfer Kyler Kasper led the team in pass snaps and targets in the opener and can take advantage of an Arizona secondary that lost a ton of NFL talent from a year ago.
Arizona should be able to put points on the board thanks to its experience on offense. Quarterback Noah Fifita has been with the program since 2022, while Tre Spivey, Chris Hunter and Giovanni Richardson each bring more than two years of experience. That familiarity should help the Wildcats navigate a tough road matchup. BYU also enters the season with former special teams coach Kelly Poppinga taking over as defensive coordinator, making this his first true test in the role. Arizona should be able to take advantage of the new coordinator and reach 20 points Saturday.
Duke Watson had great numbers with Louisville, gaining 602 yards and averaging 8.7 yards per carry as a freshman in 2024. He's the RB1 for UCF, where his career 3.87 yards after contact per attempt should shine. Pitt had a great run D a year ago and is being respected by the market, but it probably takes a step back sans star linebackers Kyle Louis and Rasheem Biles, who combined for 182 tackles, 25.5 tackles for loss, and 82 run stops.
UNLV has already covered plenty of ground to open the season, traveling to Hawaii last week before returning to the mainland for a matchup with North Texas. That travel could create a difficult spot for the Rebels, especially against a Mean Green team that showed plenty of fight against reigning national champion Indiana. Despite losing star quarterback Drew Mestemaker to Oklahoma State and undergoing a significant roster overhaul, North Texas still outgained the Hoosiers and averaged 5.5 yards per play in a 52-16 loss. After facing a strong Indiana team, North Texas should be better prepared for this matchup and can make this game competitive.
North Texas is a different team this season, and the spread undervalues that. The Mean Green are 132nd in returning production (32%) and will have their hands full with a UNLV run game that's one of the best in the G6. I'd consider UNLV to cover up to -6.5.
Boise State is coming off a tough loss to Oregon, while Memphis has ripped off two wins to start the year under Charles Huff. The Tigers are averaging 265 rushing yards per game and 23.5 pressures per game. Their trench play on both sides can keep this close against the Broncos - I like the Tigers at +8.5 or better.
Justice Haynes averaged 122.4 yards on the ground last year. He handled 19 of his team's 25 carries in the opener and is in for MONSTER volume this season, especially with a green Alberto Mendoza at quarterback starting the first games of his career. Tennessee is a pace-up matchup (fifth in tempo last year), which is a big contrast to Week 1, when Tech snapped the ball only 54 times. More snaps = more Haynes rush attempts.
Georgia Tech’s offense struggled to finish drives against Colorado, but Mendoza’s passing debut was encouraging.
He completed 74% of his passes for 237 yards, and he now faces a Tennessee defense that allowed 28.8 points per game last season. The Yellow Jackets should lean on Justice Haynes and their home-field advantage while using Mendoza’s mobility to extend drives. Tennessee can create pressure, but Georgia Tech has enough passing ability to reach the low 20s. The team-total Over is the better angle than relying on the Yellow Jackets to cover the full spread.
FAU has one of the worst defenses in the G6 (131st by SP+ last year and allowed Florida to score points on 10 of 11 drives in Week 1). Navy's triple-option attack ran for 506 yards last week, and Braxton Woodson should have no trouble moving the ball against the Owls. I love Navy here, and think they win by double digits.
Iowa State has a massive talent disadvantage in this game, with eight of its 11 starters being transfers from the G6 or FCS level. That includes QB Jaylen Raynor, who struggled in P4 matchups while at Arkansas State. In four starts against P4 programs the last two years, Raynor's team averaged 13.7 PPG. And this Iowa defense is better than any he's faced (it's ranked No. 11 by SP+).
New Iowa State starting QB Jaylen Raynor was terrible against P4 opponents while at Arkansas State. In four games against P4 teams, Raynor accounted for 11 turnover-worthy plays and threw just one TD. Iowa's defense is one of the best (ranked 11th by SP+), but its offense leans heavily on the run game, which will help the Under.
Oregon State plays with tempo, has a quality starting quarterback (Braden Atkinson), and has an entirely new playbook that opposing defensive coordinators can't game plan around. That should lead to them scoring a bit at home against a TTU defense that lost David Bailey and Jacob Rodriguez.
Tempo figures to play a factor as Oregon State had the 19th-highest snaps per minute (2.5) in Week 1, and Texas Tech ranked 21st-fastest (2.44) a year ago and didn't change scheme or coordinator.
Chris Henry gives Ohio State a useful red-zone matchup against Texas.
The freshman scored on his only catch in the opener, and his 6-foot-6 frame gives Julian Sayin a large target when the field compresses. Texas will have to shade coverage toward Jeremiah Smith while accounting for Ohio State’s run game, creating opportunities for Henry on isolated boundary routes, curls and back-shoulder throws near the goal line. Devin McCuin established himself as a key part of the receiving rotation in Week 1, but Ohio State’s multiple-receiver formations should continue to create favorable matchups for its younger options. Henry’s physicality and ability to win above the rim give him a clear path to a touchdown if Texas prioritizes stopping Smith.
Texas can target Ohio State’s aggressive defensive front with designed quarterback keepers, scrambles and movement throws that pull edge defenders away from their lanes. Obviously this gets more pronounced in high-leverage situations near the goalline, where Manning’s mobility gives the offense an additional gap for the Buckeyes to defend. Manning threw four touchdown passes in the opener, showing the scoring upside of this Texas offense, but his rushing path is the reason to consider him here. Ohio State’s pressure and pursuit can create openings if Manning escapes contain.
At 41%, his dual-threat profile diversifies the Texas touchdown card.
This is the situational spot of the year to fade Ole Miss who just played on Sunday night in a game where they won on a field goal on the final play of the game. They have Lane Kiffin and LSU on deck next week which will be the biggest home game in the history of Ole Miss football. The proper motivation and rest isn't there to cover 47.5 points. It also helps that my power ratings like the play.
My power ratings make Charlotte a 44.5-point underdog here, and that does not account for the situation spot. Mississippi could be in one of the worst spots of the entire college football season. The Rebels just played a Sunday night thriller against Louisville that came down to the final play, and now they have one fewer day of rest before their next game. Oh, by the way, the Rebels have arguably the biggest home game in school history on deck as they host LSU and former head coach Lane Kiffin next Saturday night. While Charlotte lost outright to FCS The Citadel last week, the market tends to overreact to upset losses to FCS schools more than it does upsets to bad FBS schools. When you factor in my ratings discrepancy and the spot, Charlotte is a best bet.
Utah scored 66 in Week 1, but the Utes did it while rushing for 364 yards and controlling possession for more than 34 minutes. Arkansas managed only 148 rushing yards on 49 carries against North Alabama and committed three turnovers. With KJ Jackson making his first road start at Rice-Eccles, I expect Utah to control the game and the clock.
The Utah Utes annihilated the Idaho defense last weekend, scoring nine touchdowns against the Vandals. While things won't be quite that easy against the Arkansas Razorbacks, they did allow 31+ points in nine of their last 10 games last season, so they've had a hard time keeping opponents from hitting the end zone. I like Utah's team props at Over 3.5 and Over 4.5 touchdowns.
Nevada deserves respect after rushing for 323 yards in its 49-14 opener, but Montana State isn't a typical FCS visitor. The defending national champions have won 16 straight, scored 105 points through two games, and Justin Lamson has four touchdowns without an interception. Getting more than a field goal with that experience and continuity is enough for me to back the Bobcats.
New Mexico State is underrated offensively after improving at quarterback (Trey Hedden: 8.5 yards per attempt) and offensive line (25th in front seven havoc allowed). Running back James Jones and receiver TK King can both be stars in Conference USA, and they'll find the end zone against a poor-performing Hawaii defense (123rd in PFF's defensive grade).
Hawaii can't run or shoot offensively. The offensive line (127th in PFF's pass-blocking grade) and receiving unit (126th in receiving grade) are both a mess, which has led to quarterback Micah Alejado completing just 52.2% of his passes for 4.9 yards per attempt. I can't consider an Over with this team until things turn around, especially not unless I get a lower number. The market hasn't adjusted enough yet.
Former Mississippi head coach Lane Kiffin will take his new team, LSU, into Oxford. Considering the controversial way he left the Rebels prior to the playoffs last year, there might not be a more hostile environment in college football this season. It’s a game worthy of giving the home team more than three points of home-field advantage.
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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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