Tuesday’s Top College Basketball Matchups: No. 7 Texas A&M at No. 21 Mississippi State
With March Madness on the horizon, Tuesday’s college basketball schedule features nine games involving ranked teams, including two highly anticipated top-25 matchups.
One of the marquee games pits No.7 texas A&M against No. 21 Mississippi State at 7 p.m. ET. The Aggies are 2.5-point road favorites, according to the latest odds. In the other top-25 showdown, No. 13 Purdue travels to face No. 14 Michigan State, where the Spartans are 2.5-point favorites. The Boilermakers, however, have covered in their last six road games.
These contests are just a few highlights on a packed Tuesday schedule that also includes matchups between No. 2 florida and Oklahoma, No. 5 houston and Arizona State, and No. 23 Kansas and BYU.
Proven Model Predicts Big Payouts with College Basketball Parlay
sportsline’s advanced algorithm,which simulates every Division 1 college basketball game 10,000 times,has identified three compelling picks for Tuesday’s action. Combining these three picks into a parlay could result in a payout of over 6-1.
This model enters Week 16 of the season with a strong record, boasting a 213-158 betting roll (+1675) on all top-rated college basketball picks dating back to 2023.
For those interested in following its picks, you can see all the college basketball selections at SportsLine right here.
Top 3 College Basketball Best Bets for Tuesday
Western Michigan vs. Buffalo (7 p.m. ET): Buffalo Moneyline (+111)
Buffalo has dominated the head-to-head matchups recently,winning 11 of the past 13 games. This victory includes an 86-75 road win against Western Michigan last month.
In a trend that could continue, Western Michigan has struggled on the road this season, going 3-10 away from home. Simultaneously occurring, Buffalo boasts a potent offense led by Ryan Sabol (15.3 points), who ranks among the MAC’s top performers in both 3-point percentage and free throw percentage, while Tyson Dunn (12.8 points) leads the conference with 5.6 assists per game.
The model predicts a close contest, with Buffalo winning outright in 56% of simulations and projecting a final score of 74-72.
Kansas vs. BYU (9 p.m. ET): BYU -3.5 (-110)
BYU enters this matchup with momentum, covering the spread in six of their last eight games. Conversely, Kansas has struggled to cover, achieving it only onc in their last seven.
BYU’s success stems from a deep roster with nine players averaging over 5.0 points per game. The Cougars also excel offensively,ranking ninth in 2-point percentage and 13th in made 3-pointers per game nationally. On the other hand,Kansas faces challenges shooting from beyond the arc,ranking outside the top 250 teams in Division I,according to the model.
The model favors BYU to cover the spread, indicating a 53% likelihood of success and projecting a 78-73 victory for the Cougars.
South Carolina vs. LSU (9 p.m. ET): LSU -2.5 (-110)
While both teams boast similar records against the spread at 11-each, South Carolina has struggled considerably as a road underdog, with a disheartening 1-7 ATS record.
LSU Tigers Stride Insecure South Carolina Gamecocks
The LSU Tigers (13-14, 6-8 SEC) are heavily favored to beat the struggling South Carolina Gamecocks (9-19, 1-13 SEC) on Tuesday night. This matchup features a Tigers squad with offensive firepower led by Cam carter, who averages 17.3 points per game, against a Gamecocks team that lacks offensive punch and ranks dead last in the SEC in key statistical categories.
Despite LSU’s inconsistent performance and ranking among the bottom 10 spread records in college basketball, they’ve covered the spread in five out of their last seven games as favorites. South Carolina’s offense is their Achilles’ heel, ranking last in the SEC in field goal percentage, 2-point percentage, 3-pointers made, and points per game. This stark contrast in offensive capabilities suggests a clear advantage for the Tigers.
The Pick: LSU -2.5 (-110)
sportsline’s advanced computer model projects LSU to win by nine points, with a 68% probability of covering the spread.This makes LSU -2.5 a strong bet for those looking to make a confident wager.
Want more college basketball picks?
You can find more expert college basketball predictions, including those from SportsLine’s Thomas Casale, who boasts an impressive 42-29 record (+931.5) on his last 71 NCAAB picks on the CBS Sports website. SportsLine’s model has also achieved a remarkable 213-158 record on college basketball picks since 2023.
Don’t miss out on valuable insights and expert advice to elevate your college basketball betting game.
The Dynamic Landscape of Facial Recognition Technology
Facial recognition technology is rapidly evolving,touching numerous aspects of our lives,from unlocking smartphones to enhancing security measures. While this technology offers meaningful advantages, it also raises crucial ethical and privacy concerns that demand careful consideration.
Advancements in artificial intelligence (AI) and machine learning (ML) have fueled the development of sophisticated facial recognition systems capable of identifying individuals with remarkable accuracy. These systems analyze unique facial features and create a digital identifier, allowing for quick and efficient identification.
Governments and law enforcement agencies are increasingly utilizing facial recognition for surveillance, crime prevention, and the identification of suspects. Businesses are leveraging this technology for customer authentication, personalized marketing, and access control.
However, the widespread adoption of facial recognition technology raises serious concerns about privacy violations and potential misuse. The risk of facial data being collected and used without consent, leading to profiling and discrimination, is a major issue. Additionally, the potential for false identifications can have serious consequences, leading to wrongful arrests and other injustices.
Regulators and policymakers are grappling with the challenge of establishing clear guidelines and ethical frameworks for the development and deployment of facial recognition technology. Balancing the benefits of this technology with the protection of individual rights is a complex and ongoing debate.