Free College Football Expert and Computer Picks For Every Game Sept. 10, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
25.78 |
+3.5 -115 
|
o53.5 -118
|
+145 
|
|
29.29 |
-3.5 -103 
|
u54.5 -110 
|
-155 
|
Rutgers
Boston College
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
28.53 |
-4.5 -112
|
o50.5 -110
|
-210
|
|
24.08 |
+4.5 -108
|
u52.5 -114
|
+177 
|
Missouri
Kansas
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.80 |
+3.5 -110
|
o45.5 -110
|
+155
|
|
26.44 |
-3.5 -102 
|
u47.5 -121
|
-162
|
South Florida
Army
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
15.95 |
+20.5 -115
|
o49.5 -110
|
+800
|
|
35.12 |
-20.5 -105
|
u50.5 -112 
|
-1099
|
Old Dominion
Virginia Tech
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
36.54 |
-22.5 -129
|
o49.5 -109
|
-2000
|
|
14.83 |
+22.5 -103
|
u50.5 -121
|
+1500
|
Penn State
Temple
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
38.86 |
-22.5 -110
|
o56.5 -110
|
-2000
|
|
16.12 |
+22.5 -110
|
u57.5 -110
|
+1200
|
Oregon
Oklahoma State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
19.54 |
+15.5 -129
|
o49.5 -130
|
+525
|
|
33.66 |
-15.5 -103
|
u51.5 -118
|
-649
|
Arizona State
Texas A&M
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
14.44 |
+18.5 -115
|
o48.0 -112
|
+750
|
|
34.94 |
-18.5 -105
|
u49.5 -115
|
-850
|
Washington State
Kansas State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
23.82 |
-5.5 -108
|
o43.5 +100
|
-218
|
|
18.10 |
+5.5 -106
|
u43.5 -108
|
+195
|
Oklahoma
Michigan
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
24.91 |
+7.5 -115
|
o56.5 -105
|
+225
|
|
31.01 |
-7.5 +105
|
u56.5 -108
|
-250
|
App State
East Carolina
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
26.85 |
-2.5 -120
|
o49.5 -110
|
-150
|
|
24.06 |
+2.5 +105
|
u50.5 -110
|
+135
|
Wake Forest
Purdue
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
7.43 |
+41.5 -115
|
o55.5 +100
|
+12500
|
|
49.46 |
-41.5 -105
|
u55.5 -108
|
-- |
Western Kentucky
Georgia
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
33.63 |
+2.5 -114
|
o66.0 -110
|
+110
|
|
33.45 |
-2.5 -105
|
u66.5 -108
|
-122
|
UTSA
Texas State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
29.87 |
-10.5 -105
|
o49.0 -111
|
-391
|
|
20.60 |
+10.5 -108
|
u50.5 -125
|
+350
|
Alabama
Kentucky
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
5.23 |
+45.5 -120
|
o54.5 -115
|
+22500
|
|
49.75 |
-45.5 +100
|
u55.5 -108
|
-- |
Rice
Notre Dame
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
16.65 |
+18.5 -115
|
o49.0 -111
|
+650
|
|
33.55 |
-18.5 -105
|
u50.5 -115
|
-900
|
Eastern Michigan
Michigan State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
32.58 |
-11.5 -110
|
o51.5 -110
|
-480
|
|
22.48 |
+11.5 -109
|
u52.5 -110
|
+400
|
Maryland
UConn
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
28.26 |
+1.5 -115
|
o54.5 -123
|
-105
|
|
29.36 |
-1.5 +100
|
u55.5 -110
|
-105
|
MS State
Minnesota
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
20.52 |
+8.5 -114
|
o47.5 -110
|
+260
|
|
29.22 |
-8.5 -105
|
u48.0 -107
|
-295
|
Arizona
BYU
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
25.75 |
+7.5 -112
|
o56.5 -108
|
+235
|
|
32.96 |
-7.5 +100
|
u57.5 -114
|
-260
|
UCF
Pittsburgh
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.82 |
+6.5 -115
|
o51.5 -105
|
+188
|
|
29.37 |
-6.5 -105
|
u52.5 -129
|
-215
|
Duke
Illinois
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
26.51 |
+3.5 -115
|
o56.5 -110
|
+145
|
|
31.23 |
-3.5 +100
|
u57.5 -115
|
-159
|
California
Syracuse
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
13.49 |
+27.5 -114
|
o55.5 -108
|
+2000
|
|
40.52 |
-27.5 +100
|
u55.5 -109
|
-3030
|
Utah State
Washington
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.89 |
+10.5 -115
|
o55.5 -109
|
+330
|
|
34.19 |
-10.5 +100
|
u56.0 -110
|
-375
|
Louisiana-Monroe
UAB
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
30.45 |
-3.5 +100
|
o56.5 -110
|
-160
|
|
27.54 |
+3.5 -115
|
u57.5 -115
|
+145
|
UNLV
North Texas
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
17.59 |
+21.5 -110
|
o54.5 -110
|
+1100
|
|
38.11 |
-21.5 +100
|
u55.5 -129
|
-1408
|
Delaware
Vanderbilt
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
24.43 |
+2.5 -105
|
o50.5 -109
|
+115
|
|
26.18 |
-2.5 -106
|
u51.0 -115
|
-130
|
JSU
Ohio
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
18.29 |
+10.5 -112
|
o47.5 -110
|
+340
|
|
28.02 |
-10.5 +100
|
u47.5 -105
|
-400
|
Buffalo
FIU Panthers
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
23.71 |
+9.5 -110
|
o54.5 -114
|
+285
|
|
31.32 |
-9.5 -109
|
u55.5 -113
|
-320
|
Memphis
Boise State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
34.35 |
-11.5 -110
|
o55.5 -105
|
-425
|
|
22.24 |
+11.5 -105
|
u56.5 -110
|
+390
|
Tennessee
Georgia Tech
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.36 |
+13.5 -108
|
o56.5 -110
|
+440
|
|
33.92 |
-13.5 -110
|
u57.5 -112
|
-549
|
Middle Tennessee
Marshall
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.50 |
+9.5 -110
|
o54.5 -105
|
+275
|
|
32.96 |
-9.5 -110
|
u54.5 -108
|
-320
|
Georgia State
Kennesaw State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
10.65 |
+30.5 -110
|
o51.5 -110
|
+3000
|
|
40.11 |
-30.5 -105
|
u52.0 -115
|
-5000
|
Bowling Green
Nebraska
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
31.17 |
-13.5 -105
|
o51.5 -105
|
-529
|
|
18.81 |
+13.5 -105
|
u51.5 -110
|
+460
|
Tulsa
Sam Houston
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
19.70 |
+9.5 -105
|
o49.5 -105
|
+310
|
|
28.42 |
-9.5 -111
|
u49.5 -108
|
-375
|
South Alabama
Tulane
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
22.87 |
+12.5 -110
|
o54.5 -120
|
+400
|
|
33.00 |
-12.5 -110
|
u55.5 -110
|
-461
|
San Diego State
UCLA
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
12.19 |
+35.5 -108
|
o55.5 -109
|
+5000
|
|
44.33 |
-35.5 +100
|
u56.0 -110
|
-10000
|
Louisiana Tech
LSU
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
33.68 |
-4.5 -110
|
o58.5 -110
|
-192
|
|
27.21 |
+4.5 -105
|
u59.5 -115
|
+180
|
Navy
Florida Atlantic
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
13.73 |
+14.5 -115
|
o39.5 -134
|
+500
|
|
28.32 |
-14.5 +100
|
u40.5 -108
|
-599
|
Iowa State
Iowa
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
17.75 |
+20.5 -108
|
o55.5 -110
|
+950
|
|
35.81 |
-20.5 -105
|
u56.5 -121
|
-1200
|
Georgia Southern
Clemson
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
39.42 |
-25.5 -110
|
o53.5 -110
|
-3000
|
|
12.29 |
+25.5 -108
|
u54.5 -105
|
+1700
|
Texas Tech
Oregon State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
24.88 |
+1.5 -108
|
o49.5 -105
|
+105
|
|
26.31 |
-1.5 -104
|
u49.5 -110
|
-116
|
Ohio State
Texas
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
11.74 |
+33.5 -110
|
o56.5 -105
|
+3300
|
|
42.50 |
-33.5 -105
|
u56.5 -105
|
-9000
|
Southern Miss
Auburn
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
8.08 |
+47.5 -105
|
o59.5 -110
|
+22500
|
|
55.48 |
-47.5 -105
|
u61.5 -110
|
-- |
Charlotte
Mississippi
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
25.18 |
-1.5 -115
|
o47.5 +100
|
-130
|
|
22.46 |
+1.5 -105
|
u47.5 -110
|
+112
|
ND State
Air Force
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.59 |
+13.5 -115
|
o54.5 -115
|
+420
|
|
36.47 |
-13.5 -105
|
u55.5 -112
|
-500
|
Arkansas
Utah
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
15.19 |
+18.5 -110
|
o44.5 -112
|
+750
|
|
30.55 |
-18.5 -106
|
u45.5 -110
|
-950
|
Sacramento State
Fresno State
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
14.06 |
+31.5 -115
|
o59.0 -109
|
+3500
|
|
44.46 |
-31.5 +100
|
u60.5 -110
|
-9000
|
Louisiana
USC
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
21.51 |
+7.5 -119
|
o48.5 -118
|
+250
|
|
28.67 |
-7.5 +105
|
u50.5 -112
|
-275
|
New Mexico State
Hawai'i
FAMU
@
MIA
Thu, Sep 10 • 8:00 PM ET
o61.5 (-108)
This past weekend, Florida A&M allowed 479 total yards to South Carolina State. They were gashed repeatedly on the ground and through the air by an opponent that plays in the MEAC.
Miami's offense will have a chance to score on each of its offensive possessions on Thursday. In Week 1, the Hurricanes had 42 points with over 20 minutes remaining in the game before taking their foot off the proverbial gas pedal late in the contest. Still, they managed 27 first downs and 549 total yards on the road against a Stanford defense that many pundits thought could take a step forward in 2026.
MIA -54.5 (-149)
Miami was unstoppable against Stanford in their season opener, with Darian Mensah and Malachi Toney routinely connecting for big gains in the middle of the field. Mensah finished with 401 passing yards and 5 touchdowns. He only had 3 incompletions on 30 pass attempts. Toney was unguardable, getting open with ease against man-heavy looks from Stanford's defense.
The Hurricanes' offense looks like one of the best in the country. Mensah and Toney are both bona fide Heisman candidates who are likely to pad their stats in Miami's home opener against an inferior opponent. This game could get ugly.
RUTG
@
BC
Fri, Sep 11 • 7:30 PM ET
RUTG (+134)
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.
MIZZ
@
KU
Fri, Sep 11 • 8:00 PM ET
KU 1st Half +3.5 (-129)
u50.5 (-111)
Both teams scored 50-plus points in their openers, which could create plenty of Over interest with the total sitting at 50.5. Add a nationally televised FOX matchup to the equation, and the public could be enticed to chase the recent offensive production.
USF
@
ARMY
Sat, Sep 12 • 12:00 PM ET
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.
ARMY -3.5 (-108)
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.
PSU
@
TEM
Sat, Sep 12 • 12:00 PM ET
PSU -23.5 (-116)
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.
ORE
@
OKST
Sat, Sep 12 • 12:00 PM ET
ORE 1st Half -13.5 (-116)
Obviously, it’ll be tough for Oregon to cover the full-game spread (-23.5) if it doesn’t go up big early. Granted, Notre Dame was able to cover as -22 favorites vs. Wisconsin last week despite only leading by three points at halftime, but that’s an outlier.
Furthermore, the Ducks should be motivated to start fast after a slow start in Week 1, and they are on a business trip, which helps them get locked in quicker. Or at least that's my working theory.
o55.5 (-132)
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.
OKLA
@
MICH
Sat, Sep 12 • 12:00 PM ET
MICH 1st Half +3.5 (-121)
u43.5 (-116)
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.
UTSA
@
TXST
Sat, Sep 12 • 3:30 PM ET
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.
UNLV
@
UNT
Sat, Sep 12 • 3:45 PM ET
UNT (+134)
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.
MEM
@
BSU
Sat, Sep 12 • 6:00 PM ET
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.
TENN
@
GT
Sat, Sep 12 • 7:00 PM ET
u20.5 Team Total (-103)
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.
o55.5 (-111)
The Vols bring a strong offensive prior into this matchup.
They ranked No. 1 in the SEC in scoring last season, while Georgia Tech allowed 183 rushing yards to Colorado in Week 1. That gives DeSean Bishop a path to a productive night. The Yellow Jackets should contribute, too: Tennessee allowed 28.8 points per game last year and a 60% or better completion rate in 11 of 13 games. Alberto Mendoza completed 17 of 23 passes in his debut. A blended projection lands near 34-24, making the Over 55.5 appealing. I'd play to 56.5
NAVY
@
FAU
Sat, Sep 12 • 7:30 PM ET
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.
ISU
@
IOWA
Sat, Sep 12 • 7:30 PM ET
IOWA -13.5 (-120)
Iowa returns home for another edition of the Cy-Hawk rivalry, and the Hawkeyes have a great opportunity to finally take care of business against Iowa State. The Cyclones have won three of the last four meetings, but this is a different program after Matt Campbell’s departure for Penn State. Iowa, meanwhile, remains under longtime head coach Kirk Ferentz. With the rivalry meaning so much to both sides, expect the Hawkeyes to be locked in from the opening whistle. Iowa has already lost the last two meetings by a combined 4 points, but I’m backing the Hawkeyes to win by two touchdowns.
u40.5 (-116)
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 thew 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.
TTU
@
ORST
Sat, Sep 12 • 7:30 PM ET
o13.5 Team Total (-125)
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.
o53.5 (-108)
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.
OSU
@
TEX
Sat, Sep 12 • 7:30 PM ET
OSU (+105)
Ohio State heads to Austin for a rematch of last year's Week 1 matchup, when the Buckeyes defeated Texas 14-7 in Columbus. This time, Ohio State enters as the underdog, creating an appealing outright opportunity. Texas' offense should be much better than last year, but the Longhorns' defense showed some concerning signs against Texas State, allowing nearly 350 total yards. The Bobcats also had opportunities to score more than seven points. Ohio State defensive coordinator Matt Patricia did an excellent job preparing for Manning last season, and another strong game plan could give the Buckeyes an edge. Expect Ohio State to start fast and silence the home crowd.
o49.5 (-103)
Texas may not be the side to back outright, but taking the points requires believing in Arch Manning to deliver against Ohio State in a rematch of last season’s 14-7 loss. Manning threw for 170 yards with a touchdown and interception in that game, and while I am not fully sold on him, I am certainly not a hater. Texas has plenty of weapons around its young quarterback, but its defense is a concern after allowing nearly 350 yards to Texas State and giving up 8-of-14 third-down conversions. Meanwhile, Ohio State played at a faster tempo last week, which could create scoring opportunities.
CHAR
@
MISS
Sat, Sep 12 • 7:45 PM ET
CHAR +46.5 (-108)
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.
NMSU
@
HAW
Sun, Sep 13 • 12:00 AM ET
o20.5 Team Total (-127)
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).
u49.5 (-108)
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.
LSU
@
MISS
Sat, Sep 19 • 7:30 PM ET
MISS -1.5 (-110)
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.
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.
College Football Underdog Picks & Upset Predictions for Week 2
College Football Underdog Picks & Upset Predictions for Week 2
The table above lets you know how profitable and helpful our sports betting computer picks have been across the last 100 college football games played. Our NCAAF computer picks use expert data to review odds and generate moneyline, spread, and total bets for every game throughout the season.
Listed in the table are unit details, which show the total profit or loss based on a bettor placing $100 on each of the last 100 college football picks made by the computer, on both the opening and closing lines.
Take advantage of these free college football picks before you wager any money at sportsbooks.
As human beings, we're bound to be biased with our picks and potentially fall into the trap of swinging with the public. With advanced stats growing in popularity and getting harder to track, college football computer predictions are starting to become more relied on.
Betting on a moneyline simply means you're picking the outright winner of the game, regardless of the scoring margin or total. If the team you choose wins, then your bet hits. Here's what it will look like over at your favorite sportsbook:
| Team | Moneyline |
|---|---|
| Alabama Crimson Tide | -120 |
| Missouri Tigers | +150 |
In this case, Alabama is favored to win the game as its moneyline odds have a minus sign (-) in front of the number. The favorites will have the minus sign present, and the underdogs will have a plus sign (+). Easy, right?
Betting the spread gives your bet a bit more breathing room. Here, you don't need to sweat out a team to win. Instead, you can wager on the point differential on the scoreboard.
Betting on the spread is a good idea when the moneyline profits aren't enticing. There's no point betting on Alabama as a heavy -1500 favorite over Missouri. But taking Missouri to keep the scoring margin within a certain frame will get you more bang for your buck.
| Team | Spread |
|---|---|
| Alabama Crimson Tide | -24.5 (-105) |
| Missouri Tigers | +24.5 (-115) |
In this example, the Tide are favored to dominate their game against Missouri, outperforming them by at least 24.5 points.
If Alabama does win by more than 25 points, that would mean the Crimson Tide covered the spread. But if the Tide won by just 20 points, then that would mean the Tigers "covered the spread" instead.
If you think the outcome of a game could flip in either direction, then an Over/Under is the way to go. This bet relies on the combined score from both teams and whether it goes Over or Under the point total listed at sportsbooks. Then, who cares who wins?
| Team | Total |
|---|---|
| Alabama Crimson Tide | O 52.5 (-110) |
| Missouri Tigers | U 52.5 (-110) |
In this example, oddsmakers have set the total score for the game at 52.5 points. The choice is now up to you. If you think the Tide and Tigers will score a combined total of more than 52.5 points, 53 points or more, then pick the Over. If you're thinking otherwise, then bet the Under, and the bet will hit if they score fewer than 52.5 points.
If the set number was a whole number like 52 points and the two teams score exactly that amount, then it is considered a push and you'd get your money back.
Use these additional college football betting resources to compare markets, find more picks, and research specific betting angles before placing a wager.
If you're ready to bet on college football picks, you first need to find the right sportsbook. Our betting sites guide offers secure banking, the best odds, bonuses, and reliable customer service options for you.
More than a dozen Covers college football picks are released throughout the week during the season, covering all the biggest games and matchups.
Covers provides free NCAA football picks covering many markets, including point spreads, totals, moneylines, player props, and more.
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