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Trey McBride projected stats Week 15: Fantasy points, receiving yards vs. Texans [2025]

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Written by Jason Bevilacqua

Get projected stats and fantasy points for Trey McBride in Week 15, 2025.

Trey McBride projected stats Week 15, 2025.
Trey McBride is projected as one of top TEs for fantasy football in Week 15, 2025.

Trey McBride's projected stats indicate a strong fantasy football performance on Sunday at 1:00 PM ET when his Arizona Cardinals face the Houston Texans.

According to Dimers Pro’s NFL player projections, McBride ranks as one of the top tight end choices for Week 15.

Trey McBride Week 15 fantasy football projection

With playoffs underway in most fantasy leagues, Dimers Pro members get full access to the latest insights and projections on McBride and the Cardinals vs. Texans matchup.

Based on advanced data, McBride is projected for 15.8 fantasy points in PPR this week, and 12.7 in half-PPR, making him one of the premier tight end starts.

Trey McBride projected prop performance for Week 15

Here’s how our model breaks down McBride's expected production against the Texans:

  • Receptions: 6.1
  • Receiving yards: 64.9

The Cardinals tight end also has a 36.0% chance of scoring a touchdown and a 6.9% chance of opening the scoring in this game.

Conclusion

Trey McBride's Week 15 fantasy football projections point to a strong outlook, with the Arizona Cardinals TE's projected stats against the Texans suggesting solid value for fantasy managers in both PPR and Half-PPR formats.

That includes a projection of 65 receiving yards, which anchors his Week 15 prospects.

This article combines automation with human oversight to help you make informed decisions. If using our NFL props data or NFL predictions for betting, Dimers encourages responsible gambling.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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