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Puka Nacua projected stats Week 15: Fantasy points, receiving yards vs. Lions [2025]

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Written by Jason Bevilacqua

Get projected stats and fantasy points for Puka Nacua in Week 15, 2025.

Puka Nacua projected stats Week 15, 2025.
Puka Nacua is projected as one of top WRs for fantasy football in Week 15, 2025.

Puka Nacua's projected stats point to a strong fantasy football score on Sunday at 4:25 PM ET when he and the Los Angeles Rams face the Detroit Lions.

According to Dimers Pro’s NFL player projections, Nacua ranks as one of the top wide receiver choices for Week 15.

Puka Nacua 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 Nacua and the Lions vs. Rams matchup.

Based on advanced data, Nacua is projected for 23.7 fantasy points in PPR this week, and 20.0 in half-PPR, making him one of the top wide receiver starts.

Puka Nacua projected box score for Week 15

Here’s how our model breaks down Nacua's expected numbers against the Lions:

  • Receptions: 7.5
  • Receiving yards: 104.8
  • Rushing yards: 3.8

The Rams wide receiver also has a 47.7% chance of scoring an anytime touchdown and a 9.6% chance of opening the scoring in this game.

Conclusion

Puka Nacua's Week 15 fantasy football projections highlight a strong outlook, with the Los Angeles Rams WR's projected stats against the Lions suggesting solid value for fantasy managers in both PPR and Half-PPR formats.

That includes a projection of 105 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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