No. 11 Texas Tech hosts Tiller and No. 14 Kansas
Kansas and Texas Tech both hold 6-2 Big 12 records; Darryn Peterson's possible absence could impact the game's outcome and NBA draft prospects, with Texas Tech undefeated at home.
- On Monday, Kansas visits Texas Tech at 9 p.m. EST in Lubbock for their first conference meeting.
- At home in United Supermarkets Arena, Kansas is coming off a BYU win, while Texas Tech suffered an 88-80 loss at UCF on Saturday, creating contrasting momentum.
- Kansas averages 84.0 points and 36.2 rebounds, while J.T. Toppin, Texas Tech's projected 23.9-point scorer, averages 22.4 points and 10.8 rebounds.
- The clash between scoring and perimeter defense involves Texas Tech's offense, averaging 84.0 points, and Kansas' defense, holding opponents to 68.0 points and defending the 3-point line tightly.
- Darryn Peterson's willingness to play is uncertain and could affect the matchup, making him a key game-time question for Kansas roster availability and draft considerations.
17 Articles
17 Articles
Kansas vs. Texas Tech Predictions | Toppin Over, Team Totals
The post Kansas vs. Texas Tech Predictions and Picks – Toppin Usage and Home Efficiency Favor Texas Tech appeared first on SportsHandle. Texas Tech is 11–0 at home this season, and that edge directly shapes our Kansas vs. Texas Tech Predictions through team totals and player props tied to Red Raiders usage. /*!@.item*/.item.sc-bam-inline-promotion{text-decoration:none;display:flex;flex-wrap:wrap;align-items:center;padding:var(--spacing-small);bo…
No. 11 Texas Tech vs No. 14 Kansas Spread and Expert Picks
This page contains affiliate links. We may earn a commission at no extra cost to you. Kansas (16-5) vs Texas Tech (16-5) When: Feb 2 2026, 9:00 PM Where: United Supermarkets Arena, Lubbock, TX, USA Where to watch: ESPN (14) Kansas vs (11) Texas Tech Preview & Prediction Spread: Texas Tech -4.5 Moneyline: Texas Tech (-213) Total: 154.5 Texas Tech Red Raiders Betting Breakdown Texas Tech returns home looking to reset after a frustrating road loss…
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Bias Distribution
- 40% of the sources lean Left, 40% of the sources are Center
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