Baylor vs Texas Prediction, Odds & Best Bet for February 25 (Longhorns Shock Ferrell Center Crowd)

Baylor vs Texas Game Info

• 2022-23 NCAA Basketball Regular Season Game
• No. 9 Baylor (20-8, 9-6 Big 12) vs. No. 8 Texas (22-6, 11-4 Big 12)
• Date: Saturday, February 25, 2023
• Time: 2:00 PM ET
• Venue: Ferrell Center -- Waco, Texas
• Coverage: ESPN

Saturday, Feb. 25's NCAA college basketball schedule features a significant Big 12 collision between the No. 9 Baylor Bears and No. 8 Texas Longhorns.

Baylor returns home after going 0-2 on a two-game road trip, losing 75-65 to ranked Kansas State in its last outing. Now, the Bears must deal with a Texas team that improved to 3-1 in its last four games with Tuesday's huge 72-54 victory over No. 23 Iowa State.

Will Baylor turn things around at Ferrell Center? Or does Texas have what it takes to tally its third consecutive victory?

Baylor vs Texas Odds & Spread

• All college basketball betting lines, odds and prop bets are from FanDuel Sportsbook.
• Moneyline: BAYLOR: (-182) | TEXAS: (+150)
• Spread: BAYLOR: -4.5 (-104) | TEXAS: +4.5 (-118)
• Total: 148.5 -- Over: (-110) | Under: (-110)

Baylor enters this contest as the clear home favorite on the moneyline and spread per FanDuel Sportsbook's odds. This 2 p.m. ET clash also features an over/under of 148.5 points with both sides sitting at -110 odds.

Baylor vs Texas Betting Trends

• Baylor has covered the spread 15 times in 28 games.
• Against the spread as 2.5-point favorites or more, the Bears are 11-9.
• Baylor has seen 14 of its 28 games go over the point total.
• Texas' record against the spread is 12-16-0.
• The Longhorns are winless ATS (0-3) when playing as at least 2.5-point underdogs this season.
• Texas has played 28 games this year, and 15 of them have hit the over.

Baylor Rank	Baylor AVG		Texas AVG	Texas Rank
44th	78	Points Scored	79.4	26th
184th	69.9	Points Allowed	68.4	134th
219th	31.2	Rebounds	31.8	179th
42nd	10.2	Off. Rebounds	8.9	153rd
18th	9.5	3pt Made	7.4	181st
61st	14.9	Assists	16.3	18th
155th	11.7	Turnovers	11.1	91st

Baylor vs Texas Prediction & Pick

Though Baylor has been known for its offense this season, it's finished with 72 or fewer points in three of the last four games. For reference, the Bears average 78.0 PPG (No. 28). It doesn't help that they've committed turnovers on 18.9% of offensive possessions over the last three outings, either.

Winning won't be easy for Texas, but it's hard to doubt the Longhorns after their impressive defensive effort against Iowa State. Baylor's offense is in a vulnerable spot and could have a tough time with a Texas squad that averages 8.1 steals (T-No. 40) while forcing 16.0 turnovers per contest.

A victory combined with a Kansas loss to West Virginia would see Texas overtake the Big 12's top spot. That sort of motivation can help teams pull off incredible feats, which is why I fully expect Texas to score the upset win this afternoon.

Final Score Prediction: Texas: 74 | Baylor: 72

Baylor vs Texas Best Bet

Assuming that Texas pulls off the upset, it wouldn't be the first time that Baylor crumbles under some pressure. After all, the Bears are just 7-4 when they've been the favorite against a fellow Big 12 school this season. Texas has just one win in the three conference matchups where it was the underdog, but it's clear that beating the Bears isn't a stretch of the imagination.

After defeating Baylor at the end of January, Texas has proven that it can pull off the upset today.

Bet: Texas ML (+150) or Texas +4.5 (-118)

Devon Platana is not a FanDuel employee. In addition to providing DFS gameplay advice, Devon Platana also participates in DFS contests on FanDuel using his personal account, username PepeSilvia0. While the strategies and player selections recommended in his articles are his personal views, he may deploy different strategies and player selections when entering contests with his personal account. The views expressed in their articles are the author's alone and do not necessarily reflect the views of FanDuel.

Game odds refresh periodically and are subject to change.