The current Sleeper roster snapshot does not include an injury or practice designation for Mason Taylor. nflverse lists the player at depth rank 1 for Tight End.
Observation onlyData-driven analysis
FairPlay editorial
Mason Taylor's week 9 2 targets: what the latest row shows
Mason Taylor is a 22-year-old tight end in FairPlay's depth tier at rank #154, with a value of 2,338. For the Jets against Kansas City, Week 9 2 targets fell from the prior usable row. The decision is whether that workload supports the current dynasty value. Week 7: 6 targets, 5 catches, 62 receiving yards, 63% snaps, and 10.3 yards per target. Week 8: 5 targets, 3 catches, 19 receiving yards, 61% snaps, and 3.8 yards per target. Week 9: 2 targets, 1 catch, 11 receiving yards, 63% snaps, and 5.5 yards per target. The roster snapshot lists Active, which is an administrative status and not a promise of future volume.
Generated from FairPlay and nflverse data · Reviewed November 6, 2026 · Editorial policy
roster status support and efficiency risk
FairPlay's at the top end market proxy (94) is above its usable production input (78). This is a FairPlay input comparison, not a verified external ADP or market price. roster status is near the model ceiling; market proxy is the next strongest input. efficiency is very low, which keeps the recommendation conditional.
the Jets against Kansas City: can week 9 2 targets hold for this very early-career tight end?
The next usable row for the Jets against Kansas City needs to show whether week 9 2 targets was a one-week result or part of a stable role. Watch targets and yards per target.
Roster-specific plan
very early-career tight end with falling usage
The same player can require a different decision depending on your competitive window and the liquidity of the return.
Contending roster
Win-now approach
A contender should treat Mason Taylor as a lineup purchase only when the available usage does not yet prove a weekly lineup edge and the tight-end edge exceeds a cheaper active alternative. Do not use the current profile to assume routes, targets, or a guaranteed scoring outcome.
Rebuilding roster
Long-term approach
A rebuilder can retain Mason Taylor's younger tight end window, but should sell if an offer prices more certainty than 3-week observed sample supports. The market-over-production gap is the cleanest point to test a liquidity gain.
Negotiation edge
Best market move
FairPlay values Mason Taylor at 2,338. FairPlay's market proxy sits ahead of its production input by 16 points. Treat that as a model comparison, not a verified ADP or trade price.
Evidence file · November 6, 2026
Week 9 2 targets for the Jets against Kansas City
Week 7: 6 targets, 5 catches, 62 receiving yards, 63% snaps, and 10.3 yards per target. Week 8: 5 targets, 3 catches, 19 receiving yards, 61% snaps, and 3.8 yards per target. Week 9: 2 targets, 1 catch, 11 receiving yards, 63% snaps, and 5.5 yards per target. This is observed box-score usage and offensive-snap context only.
FairPlay's at the top end market proxy (94) is above its usable production input (78). This is a FairPlay input comparison, not a verified external ADP or market price.
FairPlay value 2,338 · Overall rank #154 · Market proxy 94 · Historical production input 78What changes the call
What would change the call on Mason Taylor
A second verified row that materially changes target volume and yards per target from Week 9 would test whether Mason Taylor's latest role is repeatable.
A material move in efficiency, currently the weakest scored input, would challenge the roster status-led thesis.
A narrowing or wider FairPlay market-proxy/production-model gap from the current 16 points would change the disagreement being priced.
Two deals to test
Mason Taylor: calculator checks after week 9 2 targets
These are negotiation scenarios calibrated to the current FairPlay tier, not promises that every league will price the assets identically.
Same-position comparison
Mason Taylor or Isaiah Likely for a lineup spot?
Mason Taylor ↔ Isaiah Likely (calculator comparison, not a quote)
Isaiah Likely has an Active roster status and a usable local usage row. Compare each player's FairPlay value and current workload in the calculator. This page does not claim that the swap is even in an outside market.
Roster-build comparison
Would Keon Coleman fit this roster better than Mason Taylor?
Mason Taylor ↔ Keon Coleman (calculator comparison, not a quote)
Keon Coleman is an Active wide receiver with a usable local usage row. Compare the two values in the calculator, then decide whether the positional change helps this roster. No outside-market adjustment is asserted.
Player-specific FAQ
Mason Taylor dynasty value questions
Does Mason Taylor's falling target volume support the depth tier for a very early-career tight end?
For the Jets against Kansas City, Week 9 2 targets fell from the prior usable row. The decision is whether that workload supports the current dynasty value. FairPlay's strongest scored input is roster status (100), while efficiency is the main limitation. The usage record can test that read but cannot verify an external price or future outcome.
Does week 9 2 targets justify the market-proxy lead for Mason Taylor, a very early-career depth-tier tight end?
A second verified row that materially changes target volume and yards per target from Week 9 would test whether Mason Taylor's latest role is repeatable. Separately, a material efficiency change or a different market-proxy/production-model gap would require a new FairPlay read.
7-day trade value trend
7 days agoToday
Why this value
Career window
Mason Taylor is age 22, with a career-window input score of 93/100 for TEs.
Market context
The search-rank proxy is 94/100 and the historical NFL production input is 78/100. These are separate model inputs, not verified trade prices or current-season performance.
TE value context
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.
Player-specific inputs
Model value breakdown
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 proxy94/100
Historical NFL production input78/100
Historical NFL opportunity input87/100
Historical NFL efficiency input41/100
Career-window input93/100
Draft-capital input74/100
Dynasty manager takeaway
Sleeper search-rank proxy is the strongest part of Mason Taylor’s current profile at 94/100. Historical NFL efficiency input is the clearest source of downside at 41/100. For trade decisions, compare that strength-and-risk mix with your roster timeline rather than relying on the overall value alone.