Recorded NFL weeks 7 and 8
- Week 7: 4 targets · 2 receptions · 20 receiving yards · 0 rec TD · 53% snaps · 4.0 PPR
- Week 8: 2 targets · 2 receptions · 35 receiving yards · 0 rec TD · 53% snaps · 11.6 PPR
TE · Pittsburgh Steelers
The current Sleeper roster snapshot does not include an injury or practice designation for Pat Freiermuth. nflverse lists the player at depth rank 2 for Tight End.
Model snapshot: November 6, 2026. Weekly file: November 11, 2026. These dates describe separate inputs.
The production model uses completed 2020–2025 NFL seasons. The current-season usage file is a separate evidence layer.
The search-rank proxy is 91/100 and the historical NFL production input is 85/100. These are separate model inputs, not verified trade prices or current-season performance.
The commentary below is retained from its stated review date. Its statistics, model comparisons and no-data statements describe that historical evidence window, not the current weekly file or model above.
Freiermuth drew five targets in each of the first two games, catching nine for 78 yards. Week 1's touchdown created 15.6 PPR points; the same target count produced 7.4 in Week 2. His 73 and 66 percent snap shares support a usable role, but neither the participation nor the yardage currently separates him from the broad TE starter tier.
Player-specific analysis · Reviewed September 25, 2026 · Editorial policyContenders can use Freiermuth as a steady starter when the alternative is streaming. Rebuilders should hold only if the league does not pay for tight-end depth; otherwise, convert a scoring spike into younger or more liquid value.
A move above 75 percent of snaps, six-plus targets or consistent red-zone work would improve the ceiling. Falling below five targets would remove the strongest piece of current evidence.
The same player can require a different decision depending on your competitive window and the liquidity of the return.
Hold when the roster needs a dependable five-target option. Buy only below the elite tight-end tier and avoid paying for Week 1's touchdown as if it were repeatable volume.
At age 27, he can remain useful through a short retool, but he is not insulated like a young elite tight end. Sell into a touchdown-driven premium for a younger receiver or future pick.
Market demand is 91, stability 93 and efficiency 86, while opportunity is 82 and production 85. FairPlay sees a reliable baseline with less positional advantage than the strongest market component suggests.
Freiermuth went from five catches for 46 yards and a touchdown to four for 32 without a score. The opportunity was nearly identical; touchdown variance changed the fantasy result.
See the dated interpretation and source boundary in this historical analysis. Current recorded rows are shown separately above.
Market leads production by six points, while stability is the strongest component. The price should reflect a repeatable role and avoid treating one score as evidence of an elite ceiling.
Historical commentary; current model values and input types are shown outside this section.Historical negotiation examples from the review date; current values are shown separately.
Pat Freiermuth plus an adjustment ↔ Harold Fannin
Freiermuth offers the clearer two-week floor; Fannin offers age and improving Week 2 volume. The add should buy the preferred timeline.
Pat Freiermuth ↔ A 2027 second plus a developmental tight end
The contender receives current targets. The rebuilder avoids relying on touchdown timing to preserve value.
Five targets in both games support a usable floor, but his current snaps and yardage do not create a clear weekly positional edge.
Target count stayed at five, but he lost the Week 1 touchdown and recorded 14 fewer yards. The role changed less than the fantasy points.
Pat Freiermuth is age 28, with a career-window input score of 82/100 for TEs.
The search-rank proxy is 91/100 and the historical NFL production input is 85/100. These are separate model inputs, not verified trade prices or current-season performance.
Historical production, opportunity and efficiency are normalized within the TE statistical group. The market proxy uses the full player pool; career-window and draft-capital inputs use their own scales.
Normalized model input scores, not probabilities. The production model uses completed 2020–2025 NFL seasons. The current-season usage file is a separate evidence layer. The career-window and draft-capital scales are not empirical percentiles.
Sleeper search-rank proxy is the strongest part of Pat Freiermuth’s current profile at 91/100. Draft-capital input is the clearest source of downside at 72/100. For trade decisions, compare that strength-and-risk mix with your roster timeline rather than relying on the overall value alone.
Comparable values to guide your offers.
Start with Pat Freiermuth in the dedicated Superflex calculator, then add the other side of the offer.