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Free College Football Expert and Computer Picks For Every Game Nov. 12, 2026
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Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.66 |
-3.5 -110 |
o49.5 -105 |
-179 |
|
|
24.19 |
+3.5 -105 |
u50.5 -110 |
+155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.09 |
-10.5 -105 |
o47.5 -105 |
-395 |
|
|
19.75 |
+10.5 -105 |
u48.5 -117 |
+340 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.94 |
+3.5 -110 |
o52.5 -105 |
+146 |
|
|
29.33 |
-3.5 -105 |
u53.5 -110 |
-159 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.72 |
+10.5 -115 |
o47.5 -115 |
+325 |
|
|
29.34 |
-10.5 +100 |
u48.5 -115 |
-385 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.52 |
-9.5 -108 |
o51.0 -115 |
-350 |
|
|
20.86 |
+9.5 -105 |
u51.5 -110 |
+310 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.68 |
-2.5 -115 |
o53.5 -108 |
-142 |
|
|
26.34 |
+2.5 +105 |
u53.5 -105 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.55 |
-3.5 -110 |
o57.5 -110 |
-180 |
|
|
27.81 |
+3.5 -105 |
u57.5 -105 |
+170 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.40 |
-7.5 -115 |
o42.0 -110 |
-320 |
|
|
18.35 |
+7.5 -105 |
u42.5 +100 |
+275 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.48 |
+14.5 -110 |
o43.5 -115 |
+480 |
|
|
30.06 |
-14.5 -104 |
u44.5 -110 |
-550 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.15 |
+3.5 -139 |
o58.5 -120 |
+127 |
|
|
31.45 |
-3.5 -105 |
u59.5 -109 |
-140 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.97 |
+14.5 -115 |
o54.5 -105 |
+480 |
|
|
34.74 |
-14.5 -105 |
u54.5 -108 |
-549 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.10 |
-2.5 -115 |
o50.5 -110 |
-135 |
|
|
24.52 |
+2.5 +101 |
u50.5 -108 |
+121 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.84 |
+1.5 -115 |
o60.0 -115 |
-105 |
|
|
30.78 |
-1.5 +100 |
u61.5 -105 |
-110 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.10 |
-14.5 -115 |
o51.5 -110 |
-649 |
|
|
19.30 |
+14.5 -105 |
u52.5 -110 |
+530 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.84 |
+14.5 -115 |
o47.5 -110 |
+430 |
|
|
30.69 |
-14.5 -105 |
u48.5 -120 |
-525 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
34.34 |
-17.5 -102 |
o50.5 -105 |
-900 |
|
|
17.97 |
+17.5 -109 |
u50.5 -109 |
+660 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.82 |
+2.5 -105 |
o48.0 -115 |
+116 |
|
|
26.10 |
-2.5 -105 |
u48.5 -105 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.25 |
+1.5 -110 |
o51.5 -104 |
+100 |
|
|
26.55 |
-1.5 -105 |
u51.5 -108 |
-113 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.35 |
-11.5 -110 |
o45.5 -105 |
-455 |
|
|
18.01 |
+11.5 -105 |
u45.5 -109 |
+375 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.33 |
+2.5 -108 |
o47.5 -118 |
+116 |
|
|
25.83 |
-2.5 -110 |
u48.5 -110 |
-130 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.51 |
-7.5 +100 |
o45.5 -110 |
-280 |
|
|
19.96 |
+7.5 -110 |
u46.5 -110 |
+240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.88 |
+11.5 -110 |
o43.5 -120 |
+360 |
|
|
28.41 |
-11.5 -110 |
u44.5 -104 |
-380 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.92 |
+1.5 -105 |
o48.5 -110 |
+105 |
|
|
25.37 |
-1.5 +100 |
u49.5 -115 |
-115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.14 |
-1.5 -110 |
o43.5 -105 |
-120 |
|
|
21.15 |
+1.5 -110 |
u43.5 -106 |
+116 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.15 |
+5.5 -110 |
o53.5 -112 |
+175 |
|
|
29.08 |
-5.5 -105 |
u54.5 -110 |
-190 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.84 |
+6.5 -115 |
o73.5 -110 |
+184 |
|
|
39.16 |
-6.5 -110 |
u74.5 -108 |
-210 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.35 |
+10.5 -108 |
o38.5 -106 |
+360 |
|
|
26.26 |
-10.5 -105 |
u39.0 -110 |
-420 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.47 |
-6.5 -115 |
o46.5 -115 |
-245 |
|
|
19.89 |
+6.5 +101 |
u47.5 -105 |
+240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.73 |
+21.5 -109 |
o53.0 -110 |
+1100 |
|
|
37.66 |
-21.5 +100 |
u54.5 -115 |
-1587 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.03 |
+10.5 -110 |
o46.5 -110 |
+335 |
|
|
29.31 |
-10.5 -101 |
u47.0 -110 |
-385 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.23 |
+17.5 -110 |
o47.5 -104 |
+650 |
|
|
32.92 |
-17.5 -105 |
u47.5 -110 |
-750 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.75 |
+8.5 -108 |
o50.5 -108 |
+275 |
|
|
30.67 |
-8.5 -105 |
u50.5 -109 |
-300 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.56 |
+3.5 -115 |
o48.5 -105 |
+138 |
|
|
27.31 |
-3.5 +105 |
u48.5 -105 |
-152 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.26 |
+30.5 -110 |
o52.5 -108 |
+2500 |
|
|
41.93 |
-30.5 -109 |
u52.5 -108 |
-5000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.77 |
-5.5 -110 |
o56.0 -110 |
-210 |
|
|
25.54 |
+5.5 -105 |
u56.5 -109 |
+195 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.76 |
+7.5 -110 |
o48.5 -105 |
+235 |
|
|
28.26 |
-7.5 +100 |
u48.5 -105 |
-280 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.13 |
-7.5 +100 |
o53.5 -115 |
-275 |
|
|
22.98 |
+7.5 -110 |
u54.5 -104 |
+270 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.88 |
+9.5 -105 |
o59.5 -110 |
+300 |
|
|
34.52 |
-9.5 -110 |
u60.5 -109 |
-345 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.83 |
+1.5 -110 |
o49.0 -110 |
-105 |
|
|
24.43 |
-1.5 +102 |
u49.5 -108 |
-108 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.07 |
-3.5 -102 |
o42.5 -110 |
-155 |
|
|
20.12 |
+3.5 -110 |
u43.5 -120 |
+142 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.06 |
+17.5 -110 |
o55.5 -105 |
+650 |
|
|
37.45 |
-17.5 -105 |
u56.5 -110 |
-880 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.20 |
+3.5 -120 |
o67.5 -110 |
+125 |
|
|
34.69 |
-3.5 +100 |
u67.5 -108 |
-142 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.88 |
+1.5 -122 |
o53.5 -110 |
-111 |
|
|
25.81 |
-1.5 -104 |
u54.5 -115 |
+104 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.76 |
+15.5 -110 |
o62.5 -110 |
+500 |
|
|
39.89 |
-15.5 -110 |
u64.5 -110 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.87 |
+3.5 -115 |
o52.5 -108 |
+145 |
|
|
28.90 |
-3.5 +105 |
u53.0 -110 |
-160 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.77 |
+3.5 -115 |
o55.5 -110 |
+145 |
|
|
29.56 |
-3.5 +110 |
u56.5 -127 |
-145 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.16 |
+12.5 -110 |
o47.0 -110 |
+400 |
|
|
29.76 |
-12.5 -110 |
u47.5 -110 |
-470 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.13 |
-3.5 -105 |
o59.5 -105 |
-166 |
|
|
27.99 |
+3.5 -105 |
u59.5 -105 |
+150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.41 |
+9.5 -108 |
o41.5 -105 |
+290 |
|
|
26.78 |
-9.5 -108 |
u42.5 -110 |
-350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.52 |
+4.5 -110 |
o45.5 -119 |
+157 |
|
|
26.41 |
-4.5 -103 |
u46.5 -110 |
-175 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.78 |
+15.5 -110 |
o46.0 -115 |
+510 |
|
|
31.25 |
-15.5 -105 |
u46.5 -105 |
-592 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.79 |
+17.5 -109 |
o47.5 -105 |
+720 |
|
|
33.56 |
-17.5 +100 |
u47.5 -105 |
-900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.33 |
+15.5 -110 |
o57.5 -124 |
+550 |
|
|
37.46 |
-15.5 -108 |
u58.5 -110 |
-699 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.35 |
-2.5 -105 |
o54.5 -105 |
-130 |
|
|
26.33 |
+2.5 +100 |
u55.5 -115 |
+120 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.41 |
-6.5 -125 |
o51.0 -110 |
-265 |
|
|
22.31 |
+6.5 +105 |
u51.5 -115 |
+240 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
39.09 |
-2.5 -108 |
o75.5 -110 |
-122 |
|
|
36.83 |
+2.5 -110 |
u77.5 -110 |
+110 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.54 |
+3.5 -112 |
o72.5 -105 |
+145 |
|
|
37.22 |
-3.5 -102 |
u73.5 -110 |
-156 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.66 |
-2.5 -115 |
o41.5 -115 |
-141 |
|
|
21.32 |
+2.5 +105 |
u42.5 -108 |
+125 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.21 |
-7.5 -110 |
o39.5 -110 |
-310 |
|
|
16.32 |
+7.5 -105 |
u40.0 -110 |
+280 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.79 |
+9.5 -105 |
o66.5 -109 |
+290 |
|
|
37.20 |
-9.5 -109 |
u66.5 -108 |
-345 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.91 |
-5.5 -115 |
o38.5 -105 |
-225 |
|
|
16.34 |
+5.5 -105 |
u38.5 -108 |
+220 |
The price tag on this is just marvelous, especially when this Bulls rushing attack draws a defense allowing the fifth-most explosive rushes in the conference this season. Memphis is also allowing more than this number to its opponents. We just need South Florida to step up a bit more on its end, as the Bulls are averaging only 21.8 points per game this season. With Memphis' pace, this should easily go over.
South Florida's run-heavy offense should find success against a Memphis defense allowing 5.0 yards per carry. Meanwhile, the Tigers' up-tempo offense should create plenty of opportunities on the other side. With both teams bringing favorable offensive conditions to the table, I'm expecting points throughout this matchup.
Click odds to add to your betslip
If you're looking to get in and get out of this game, backing Pitt to lead by a field goal or more at halftime is well worth the sweat. If you're willing to pay the juice, take the Panthers to win the first half outright so you don't have to worry about covering a number.
Florida State has allowed nearly 16 points per half to opponents this season, while Pitt has done a great job keeping teams under two touchdowns. If the Panthers' defense can step up, they should be in a good position to secure a first-half lead of more than a field goal.
Both offenses play fast, but with Florida State potentially being a one-dimensional offense and its ground attack facing one of the best statistical rush defenses in the country, points will likely be at a premium.
Plus, Florida State could be in line for a looming letdown and reality check following its emotional win after the coaching change. Pitt should be able to keep the Seminoles in check from start to finish.
With the weather, Illinois' cross-country travel on a short week, and UCLA's defensive-first philosophy, this contest will get off to a low-scoring start. The Bruins are 1-5 O/U against the first half total in their last six home games.
Neither team will push the tempo, resulting in a leisurely pace and offenses reliant on sustained drives. The Bruins rank 125th in seconds per snap (29.2), preferring to slowly drain the life out of opponents, and the Illini aren't far ahead at 90th (27.4).
Houston -2.5 first quarter, up to -3.5. The Cougars have won six of nine opening quarters by at least four points and covered five straight first-quarter road spreads. Colorado ranks 97th nationally in first-quarter scoring, supporting Houston's early edge.
Under 51.5, down to 49.5. Both offenses struggle to produce explosive plays and rank outside the Top 100 in red-zone scoring rate. Houston's elite third-down conversion rate could produce clock-draining drives, limiting possessions and scoring opportunities.
James Madison is back on track and can cover up to -8.5 against UConn. The Huskies are 2-4 ATS as an underdog this season and their defensive disadvantage will kill them against the Dukes. UConn ranks 106th in success rate (46.9%) and 109th in available yards percentage (52.9%), while JMU is top 30 nationally in defensive success rate (40.4%).
Duke should use the pass to loosen the front rather than make Sheppard prove he can run through it. Eget can attack that coverage, while Sheppard can still finish possessions near the goal line or catch the ball when Miami commits extra defenders to the box. Some decent field position with a less effective offense can help too.
Duke’s pass defense ranks among the top 15 in EPA allowed per dropback, making Mensah work against the strongest part of the Blue Devils’ defense. Miami presents a similar problem for Duke on the ground: its opponents have produced successful rushes on just 32.8% of attempts.
Alabama’s offense ranks 13th in adjusted EPA per play, and, as mentioned, the Dores' allow successful passes on 46% of opponent dropbacks. That gives Russell a way to move the chains even if his ankle limits how much Alabama asks him to extend plays. The Tide also have the balance to finish drives on the ground. Four touchdowns and two field goals clear this team total.
This is primarily a bet against Vanderbilt converting its possessions into touchdowns. The Commodores average 3.72 points per scoring opportunity, 90th nationally, and rank 123rd in giveaways per game. Alabama’s defense ranks eighth in opponent-adjusted EPA allowed, with its run defense allowing successful plays on 39% of attempts. That's a pretty strong resistance against a pretty average offense
Tennessee runs nearly twice as often as it passes and MacIntyre has seen his passing attempts drop each of the last three games. Coach Josh Heupel doesn't seem satisfied with the QB play and could make another switch.
Both teams have been relying on run-heavy ball-control offenses. They'll each look to control clock and that means fewer possessions and fewer points.
Florida Atlantic is an Over machine (8-1) and I like the Owls to hit another at 75.5 or better. FAU is putting up 42.8 ppg in conference play, but allowing 42.4 ppg. Tulsa has the offense to take advantage, averaging 40.6 ppg in conference games and ranking 18th nationally in EPA per play.
Liberty's defense will be too much for Middle Tennessee, and the Flames can cover -23.5 or better. Liberty is allowing just 11.3 ppg in its last seven games (covering in each), and if the Blue Raiders can't score, they can't keep it close. Their defense is 130th in success rate (49.2%) and has to stop a dominant Liberty run game.
Indiana has cashed first half Under in 12 of its last 15 games. The disruptive defensive front, led by Tobi Osunsanmi (15.5 TFL) and Stephen Daley (7.5 TFL), will make it difficult for Lincoln Riley to cook up early points.
Bryant Haines is an ace at dialing up pressure, and his Hoosiers (fifth nationally with 8.4 TFL per game) will create all sorts of issues for USC's offensive line (120th in line yards, 135th in stuff rate in its last four games). Indiana's offense (14.3 ppg in its last four games, 134th in EPA per rush) must prove it is back in form.
Baylor first-half +4.5, down to +3.5. The Bears have covered five straight first-half spreads on the road and allow only 8.8 first-half points per game against FBS teams. Neither offense looks explosive enough to pull away early.
Under 48.5, down to 47.5. BYU ranks 24th in yards per carry allowed, and both defenses have favorable explosive-play and line-yard matchups. Potential rain in Provo adds to the case for fewer big plays and sustained drives.
If Dylan Riley is humming, this offense will likely see plenty of three-and-outs. Boise State is very familiar with putting up points, averaging nearly 40 per game this season. The Broncos have only reached the 40-point mark twice, and both instances came in their last two games, scoring 46 against Texas State and 64 against Colorado State.
Boise State's Dylan Riley draws a favorable matchup against an Oregon State defense ranked 107th in rushing yards allowed per game. The Broncos' ground attack should help push this total over, while both defenses have struggled to keep opponents from moving the ball.
Some may view last week's ugly loss to Tennessee as a letdown spot, but I think it was more regression to the mean after how fortunate the Wildcats have been this season. Prior to last week, Kentucky had won six straight games, including two overtime victories and four outright wins as an underdog.
Florida catching four points feels like a lot, and the Gators should be able to keep this one interesting.
My power ratings make Florida just a 0.5-point underdog, the biggest disparity of the week. Both teams have a +0.5 yards-per-play margin on the season and have played similarly difficult schedules. Florida is slightly better in yards-per-game and scoring margins. That shouldn’t equate to a 3.5-point spread, even when factoring in home-field advantage. I’m buying low on Florida after back-to-back double-digit losses to Georgia and Oklahoma. The last time the Gators were coming off consecutive losses this season, they upset Texas on the road as double-digit underdogs. Finally, I wonder what this spread would look like if Kentucky hadn’t converted those two 2-point attempts in overtime against South Carolina and LSU to win those games. If the Wildcats were 5-4 instead of 7-2, I’m guessing this line would be closer to a pick’em.
LSU has not shown up against quality opponents this year, so I'd play Texas at +2.5 or better. The Longhorns defense ranks 11th in havoc rate (20%) and is expected to have Colin Simmons back. That spells trouble for Sam Leavitt, who has been sacked nine times and thrown three interceptions in LSU's three games against currently ranked teams.
UNLV doesn't have the QB play to keep this close, so give me New Mexico at -16.5 or better. Rebels QB Jackson Arnold is terrible against pressure and the Lobos lead the country in havoc rate (25.5%). New Mexico also has a strong run game that will gash a UNLV defense ranked 128th in EPA per rush.
My power ratings make Virginia Tech a 17.5-point favorite, the second-biggest disparity of the week. Stanford has one of the biggest home-road disparities of any team in the country. At home, the Cardinal are outscoring opponents by one point per game and outgaining them by 60 yards per contest. On the road, they're being outscored by 41 points per game and outgained by 286 yards. The Cardinal are 0-4 ATS on the road, failing to cover by an average of 18.4 ppg. A lot of that has to do with the long flights, as this will be the fifth time this season they've traveled at least 2,000 miles. In addition, we're expecting kickoff temperatures around 35 degrees. That would be the coldest of the college football season so far and far from ideal for players from California.
Three words. Fade. The. Storm.
People forget that it's weird to storm a field when you're not only ranked higher than your opponent, but also the favorite. Last week, No. 3 Utah took down No. 9 BYU in the Holy War. Following the win, the Utes faithful stormed the field in celebration.
Why? Game's gone.
There's going to be a lot of scoring in this game, so I'll take the better offense to come out on top. North Texas is the highest-ranked offense in the G6 by SP+ (No. 9) and the combo of Tayven Jackson and Jahiem White will be too much for a UTSA defense ranked 94th in success rate (45.7%).
Despite facing the 126th most difficult schedule, Hawaii has still allowed at least 5.2 yards per play in every contest. NDSU quarterback Nathan Hayes leads Mountain West signal callers with an 89.3 offensive grade per PFF and 17 big-time throws (to just eight turnover-worthy passes).
Hawaii's offense stunk to begin the year, but has been a lot better (24th in success rate on standard downs since Week 6), and the market isn't accounting for the recent gains. NDSU (28th in PFF's overall offensive grade) can run and throw on a bad Hawaii defense (6.0 yards per play allowed).
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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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