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Kyle Pitts projected stats Week 15: Fantasy points, receiving yards vs. Buccaneers [2025]

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Written by Jason Bevilacqua

Get projected stats and fantasy points for Kyle Pitts in Week 15, 2025.

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

Kyle Pitts' projected stats indicate a strong fantasy football performance on Thursday at 8:15 PM ET when he and the Atlanta Falcons face the Tampa Bay Buccaneers.

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

Kyle Pitts Week 15 fantasy football projection

With playoffs underway in most fantasy leagues, Dimers Pro members get full access to the latest data and projections on Pitts and the Falcons vs. Buccaneers matchup.

Based on advanced data modeling, Pitts is projected for 12.9 fantasy points in PPR this week, and 10.5 in half-PPR, making him one of the top tight end starts.

Kyle Pitts projected stats for Week 15

Here’s how our model breaks down Pitts' expected production against the Buccaneers:

  • Receptions: 4.8
  • Receiving yards: 57.0

The Falcons tight end also has a 29.1% chance of scoring an anytime touchdown and a 5.3% chance of scoring the first TD in this game.

Conclusion

Kyle Pitts' Week 15 fantasy football projections suggest a strong outlook, with the Atlanta Falcons TE's projected stats against the Buccaneers suggesting solid value for fantasy managers in both PPR and Half-PPR formats.

That includes a projection of 57 receiving yards, which anchors his Week 15 outlook.

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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