NYJ · Bye 13
Mason Taylor
LMD TE62 for Week 3 · 2.2 projected Half PPR points
Questionable
In season
Week 3 fantasy ranking
We project 2.2 points this week, TE62. Top 3: 0% · Top 12: 5% · Top 24: 11% of simulated weeks. Listed questionable. Down 22 since Week 2.
Week 3
TE62
281st by projected points
Projected
2.2
week 3, Half PPR
Top 12
5%
Top 3: 0% · Top 24: 11% at TE
Movement
↓ 22
TE40 in Week 2, TE62 now
- Draft / market prior
- Negative-1.73 pts
- Recent usage & efficiencyLimited data
- Slight positive+0.31 pts
- AvailabilityUnresolved injury
- No mean changeWider range0.00 pts
- Outside projection
- Slight positive+0.30 pts
- Betting markets
- No signal
Why isn’t matchup a separate factor?
How to read
- Full model minus the model without each factor.
- Effects are not additive or changes in rank.
- Recent data includes its effect on blending weights.
- A range note means a factor moved the spread and not the expected points.
Half PPR scoring · Updated September 22, 2026
LMD Rankings are produced by Let's Mock Draft's own statistical and market model. They are not analyst rankings: consensus boards are not an input, and nothing is edited by hand.
Updates
Recent updates
-
Mason Taylor enters second Jets season with raised expectations
Yahoo Sports ·
-
All eyes are on second-year TE Mason Taylor to see if he can take his game with the Jets to the next level.
Sports Illustrated ·
Headlines from other publishers, discovered automatically and matched to Mason Taylor by name -- we did not write these and we do not host them, and each one opens at the publisher who did.
Season performance
Performance vs. projection
Over 1 completed game Mason Taylor has averaged -1.9 points a game against what we projected before kickoff.
| Week | Opp | Proj | Actual | Delta |
|---|---|---|---|---|
| Wk 1 | @ TEN | 2.7 | 0.8 | -1.9 |
| Wk 2 | vs GB | 3.0 | Pending | — |
| Wk 3 | @ DET | 2.2 | — | — |
Each week's projection is the last one Let's Mock Draft published before that game kicked off, recorded at the time and never recalculated afterwards. The shaded band is the middle 80% of that week's simulated outcomes. Actual points are scored from official statistics under the scoring rule selected above.
Dynasty
Long-term value
LMD's dynasty model has Mason Taylor #152 in 1QB and #148 in Superflex, TE17 at his position. Age 22.
1QB
#152
TE17 · tier 34 · of 297
Superflex
#148
TE17 · tier 27 · of 303
- Last season 66.9 pts 5.1 per game, half-PPR scoring, in the games he played.
- Availability 76% Share of his team's games he played over the seasons the model reads.
- History 1 season Seasons of production the model read; more history is weighed more confidently.
- Touches 5.0 / game Carries plus receptions per game; 17% of his team's targets.
LMD dynasty model 1.2.0: a 3-season projection from observed NFL statistics, priced above a lineup's replacement level. Our own ranking, not an ADP, a consensus or a market price. Updated September 2026.
Draft season Draft position and availability
ADP, draft range, availability at a pick and who goes around him, measured over 10,000 simulated 12-team Half PPR 1QB drafts.
Simulated draft position
Where he goes
Simulation average
15.03
pick 171.3 overall, averaged over every simulated draft
Median pick
15.05
half of simulations take him by pick 173
Draft range
14.04 - 15.11
the middle 80% of simulations (P10-P90)
Simulations
10,000
drafted in 2,967 of them
Filters
League format
Availability
Odds he reaches your pick
Available at 15.05 in 86% of simulations
Pick 173 overall in a 12-team draft · 10,000 simulations
The middle half of simulations take him between 14.12 and 15.09.
| Pick | Available |
|---|---|
| 15.03 | 89% |
| 15.04 | 88% |
| 15.05 | 86% |
| 15.06 | 84% |
| 15.07 | 82% |
| 15.08 | 81% |
| 15.09 | 79% |
| 15.10 | 77% |
| 15.11 | 75% |
| 15.12 | 72% |
Distribution
Draft position distribution
| Pick | Share of simulations | Count |
|---|---|---|
| 14.04 | <1% | 43 of 10000 simulations |
| 14.05 | <1% | 40 of 10000 simulations |
| 14.06 | <1% | 45 of 10000 simulations |
| 14.07 | <1% | 56 of 10000 simulations |
| 14.08 | <1% | 53 of 10000 simulations |
| 14.09 | <1% | 72 of 10000 simulations |
| 14.10 | <1% | 56 of 10000 simulations |
| 14.11 | <1% | 69 of 10000 simulations |
| 14.12 | <1% | 69 of 10000 simulations |
| 15.01 | 2% | 151 of 10000 simulations |
| 15.02 | 2% | 154 of 10000 simulations |
| 15.03 | 2% | 170 of 10000 simulations |
| 15.04 | 2% | 163 of 10000 simulations |
| 15.05 | 2% | 169 of 10000 simulations |
| 15.06 | 2% | 187 of 10000 simulations |
| 15.07 | 2% | 184 of 10000 simulations |
| 15.08 | 2% | 211 of 10000 simulations |
| 15.09 | 2% | 191 of 10000 simulations |
| 15.10 | 2% | 207 of 10000 simulations |
| 15.11 | 2% | 209 of 10000 simulations |
Draft context
Who goes around him
Measured over the 2967 simulations in which Mason Taylor was drafted.
Usually taken just before
- Jake Bates K · DET 4%
- Andy Borregales K · NE 3%
- Seattle Seahawks DST · SEA 3%
- Tyler Loop K · BAL 3%
Usually taken just after
- Jalen Coker WR · CAR 2%
- Andy Borregales K · NE 2%
- Chris Boswell K · PIT 2%
- Jake Bates K · DET 2%
Methodology
How this is measured
Every figure on this page comes from a Monte Carlo batch of 10,000 simulated 12-team Half PPR 1QB drafts, each one played out pick by pick by the same simulated managers that fill an empty seat in a live room.
Mason Taylor was selected in 2967 of those 10000 drafts. Every probability here rests on that count.
Each player's expected draft position starts from Fantasy Football Calculator's aggregate ADP as of September 17, 2026; the simulated managers move him from there. Players it does not price keep a price inferred from our own rankings.
A reach or a fall on this page is measured against Fantasy Football Calculator's aggregate ADP where it prices a player, and against a price inferred from our own rankings where it does not.
- Simulation model
- simulation-v1.2
- Generated
- September 17, 2026
- Player dataset
- nflverse-2026@8a41b71bb222a352
- Baseline
- mixed
- Market prior
- ADP data from Fantasy Football Calculator (2026-09-17)
Next
Draft it yourself
Draft against the same simulated managers that produced these numbers.
