Missouri vs Kansas Prediction, Picks & Early Odds: College Football Week 2
Free College Football Expert and Computer Picks For Every Game Sept. 8, 2026
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.79 |
+3.5 -112 |
o53.5 -115 |
+145 |
|
|
29.14 |
-3.5 +100 |
u54.5 -110 |
-150 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.31 |
-4.5 -112 |
o50.5 -109 |
-200 |
|
|
23.88 |
+4.5 -108 |
u51.0 -115 |
+185 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.40 |
+3.5 -110 |
o46.5 -110 |
+155 |
|
|
26.96 |
-3.5 -104 |
u46.5 -105 |
-166 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
16.85 |
+19.5 -106 |
o49.5 -112 |
+800 |
|
|
35.03 |
-19.5 +102 |
u50.5 -110 |
-1099 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
36.54 |
-23.5 -115 |
o49.5 -105 |
-2000 |
|
|
14.83 |
+23.5 +100 |
u50.0 -112 |
+1600 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.70 |
-22.5 -110 |
o57.5 -109 |
-1800 |
|
|
16.53 |
+22.5 -105 |
u57.5 -105 |
+1250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.77 |
+14.5 -105 |
o50.5 -108 |
+540 |
|
|
34.12 |
-14.5 -105 |
u51.5 -115 |
-625 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.74 |
+19.5 -105 |
o48.5 -106 |
+800 |
|
|
35.23 |
-19.5 -105 |
u49.5 -115 |
-1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.82 |
-5.5 -110 |
o43.5 -109 |
-210 |
|
|
18.10 |
+5.5 -105 |
u43.5 -108 |
+195 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.71 |
+7.5 -105 |
o55.5 -115 |
+260 |
|
|
31.06 |
-7.5 +100 |
u56.5 -110 |
-270 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
27.44 |
-2.5 -120 |
o49.5 -110 |
-145 |
|
|
23.67 |
+2.5 +115 |
u50.5 -112 |
+143 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
7.09 |
+41.0 -112 |
o55.5 +100 |
+12500 |
|
|
49.10 |
-41.0 -108 |
u55.5 -109 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.16 |
+1.5 -108 |
o66.5 -105 |
+101 |
|
|
32.77 |
-1.5 -105 |
u66.5 -105 |
-118 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
29.87 |
-10.5 -105 |
o49.0 -110 |
-391 |
|
|
20.60 |
+10.5 -105 |
u50.5 -115 |
+350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
5.04 |
+44.5 +100 |
o55.5 -110 |
+22500 |
|
|
49.73 |
-44.5 -105 |
u56.0 -107 |
-- |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.12 |
+17.5 -110 |
o49.5 -105 |
+700 |
|
|
33.68 |
-17.5 -105 |
u49.5 -109 |
-800 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
32.58 |
-12.5 -105 |
o52.5 -108 |
-450 |
|
|
22.48 |
+12.5 -110 |
u53.5 -110 |
+400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
28.73 |
+1.5 -120 |
o55.5 -108 |
-110 |
|
|
29.04 |
-1.5 +100 |
u56.0 -114 |
+100 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
21.70 |
+8.5 -115 |
o47.5 -112 |
+260 |
|
|
30.39 |
-8.5 -105 |
u48.5 -110 |
-290 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.24 |
+7.5 -115 |
o57.5 -109 |
+240 |
|
|
33.32 |
-7.5 +105 |
u57.5 -108 |
-250 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.31 |
+6.5 -115 |
o51.5 -105 |
+195 |
|
|
30.12 |
-6.5 -105 |
u52.0 -112 |
-225 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
26.51 |
+3.5 -115 |
o56.5 -106 |
+145 |
|
|
31.23 |
-3.5 +100 |
u56.5 -107 |
-159 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.49 |
+27.5 -110 |
o55.5 -108 |
+2000 |
|
|
40.52 |
-27.5 -108 |
u56.0 -114 |
-3030 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.61 |
+10.5 -112 |
o55.5 -105 |
+310 |
|
|
34.49 |
-10.5 +100 |
u56.5 -110 |
-345 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
30.78 |
-3.5 +100 |
o56.5 -112 |
-170 |
|
|
27.93 |
+3.5 -105 |
u57.5 -105 |
+155 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.58 |
+21.5 -115 |
o54.5 -110 |
+950 |
|
|
37.76 |
-21.5 -105 |
u55.0 -114 |
-1400 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.59 |
+3.0 -115 |
o50.5 -109 |
+125 |
|
|
26.65 |
-3.0 -105 |
u51.0 -110 |
-135 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
18.29 |
+10.5 -110 |
o47.5 -110 |
+350 |
|
|
28.02 |
-10.5 +100 |
u47.5 -105 |
-425 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
23.71 |
+9.5 -110 |
o54.5 -114 |
+285 |
|
|
31.32 |
-9.5 -109 |
u55.5 -110 |
-330 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
34.35 |
-12.5 -110 |
o54.5 -115 |
-500 |
|
|
22.24 |
+12.5 +100 |
u55.5 -110 |
+425 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.62 |
+13.5 -105 |
o56.5 -110 |
+450 |
|
|
34.67 |
-13.5 -108 |
u57.5 -110 |
-549 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.34 |
+9.5 -105 |
o54.5 -108 |
+290 |
|
|
32.89 |
-9.5 -105 |
u54.5 -105 |
-334 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.26 |
+29.5 -110 |
o51.5 -110 |
+3000 |
|
|
39.71 |
-29.5 -105 |
u54.5 -122 |
-5000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
31.17 |
-13.5 -112 |
o51.5 -105 |
-549 |
|
|
18.81 |
+13.5 +100 |
u52.0 -110 |
+460 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
19.70 |
+9.5 -105 |
o49.5 -105 |
+320 |
|
|
28.42 |
-9.5 -108 |
u49.5 -108 |
-350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.44 |
+12.5 -110 |
o54.5 -115 |
+400 |
|
|
32.11 |
-12.5 -105 |
u55.5 -110 |
-450 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
12.29 |
+36.5 -110 |
o55.5 -110 |
+5500 |
|
|
44.23 |
-36.5 -110 |
u56.5 -110 |
-33333 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
33.90 |
-4.5 -110 |
o59.5 -108 |
-194 |
|
|
27.86 |
+4.5 -105 |
u59.5 -109 |
+180 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
13.86 |
+14.5 -119 |
o39.5 -115 |
+525 |
|
|
28.37 |
-14.5 +100 |
u40.5 -105 |
-599 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
17.75 |
+20.5 +100 |
o55.5 -108 |
+1000 |
|
|
35.81 |
-20.5 -110 |
u55.5 -105 |
-1350 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
38.60 |
-26.5 -109 |
o53.5 -109 |
-3000 |
|
|
11.48 |
+26.5 -108 |
u54.5 -115 |
+1900 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
24.50 |
+1.5 -108 |
o48.5 -110 |
+102 |
|
|
25.99 |
-1.5 -105 |
u49.5 -112 |
-115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
11.51 |
+34.5 -110 |
o56.5 -105 |
+3500 |
|
|
41.32 |
-34.5 -110 |
u57.5 -110 |
-9000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
8.49 |
+48.5 -115 |
o61.5 -110 |
+10000 |
|
|
55.76 |
-48.5 -105 |
u61.5 -105 |
-50000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
25.40 |
-1.5 -110 |
o47.5 -108 |
-125 |
|
|
22.42 |
+1.5 -110 |
u47.5 -110 |
+115 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
22.31 |
+12.5 -110 |
o54.5 -115 |
+400 |
|
|
37.67 |
-12.5 -105 |
u55.5 -115 |
-474 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
15.15 |
+18.5 -108 |
o44.5 -118 |
+750 |
|
|
30.85 |
-18.5 -105 |
u45.5 -110 |
-1000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
14.00 |
+31.5 -115 |
o59.5 -105 |
+3500 |
|
|
44.96 |
-31.5 -105 |
u60.5 -108 |
-9000 |
Predicted Score
Team |
Predicted Score |
Spread |
Total |
ML |
|---|---|---|---|---|
|
|
20.94 |
+9.5 -110 |
o50.5 -109 |
+280 |
|
|
29.88 |
-9.5 -110 |
u50.5 -108 |
-320 |
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.
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.
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.
Michigan is coming off Week 1's most controversial win, and Kyle Whittingham doesn't exactly sound confident in his five-star QB, Bryce Underwood. Oklahoma's defense is ranked Top 10 by SP+ and was third in havoc rate last season (22.7%). With David Stone and Taylor Wein harassing Underwood all game, John Mateer and the Sooners' offense can score enough to cover in the Big House.
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.
The battle for the Cy-Hawk Trophy is set to be lopsided this year, with Iowa State being a completely different team than last year. New head coach Jimmy Rogers is relying heavily on G6 and FCS transfers to bolster a roster that ranked outside the Top 100 in returning production (45%). Iowa, meanwhile, has a dominant offensive line once again and a defense ranked Top 20 by SP+.
Last year's game was defined by defense and unproven five-star QBs. This year, those QBs, Arch Manning and Julian Sayin, are two of the top Heisman contenders, and both are throwing to a projected Top 10 pick (Jeremiah Smith and Cam Coleman). Texas and Ohio State are loaded on offense, and dealing with defensive changes (the Buckeyes are replacing seven starters who were drafted and the Longhorns have a new coordinator in Will Muschamp).
Julian Sayin has struggled in big games, throwing three interceptions and taking 10 sacks in Ohio State's three Top 10 matchups last year. Arch Manning has looked like the prince that was promised since last November, leading the country in QBR (87.9) over the final five games of 2025. Ohio State's defense is also replacing five Top 62 picks, while its offense has a new coordinator (Arthur Smith).
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.
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.
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