Mason Taylor
TE
New York Jets▲ Hot
- Teammate Garrett Wilson (a top target) is questionable.
A hurt top target or lead back nudges the projection up a little, since their work tends to shift to teammates. QB and offensive-line flags are shown for context but do not change the number.
This is how TEs have played against the Raiders in the 2026 season.
TE1 = the highest-scoring TE against Raiders in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|
| 1 |  MIA | Greg Dulcich | 2 | 2 | 18 | 0 | 3.8 |
| 2 |  LAC | Oronde Gadsden II | 2 | 2 | 18 | 1 | 9.8 |
| 3 |  NO | Juwan Johnson | 8 | 8 | 53 | 2 | 23.3 |
| 4 |  KC | Noah Gray | 3 | 2 | 17 | 0 | 3.7 |
| 5 |  NE | Hunter Henry | 4 | 3 | 44 | 1 | 13.4 |
| 6 |  BUF | Dalton Kincaid | 8 | 7 | 38 | 0 | 10.8 |
| 7 |  LA | Davis Allen | 5 | 4 | 20 | 2 | 18.0 |
| Average | 4.6 | 4.0 | 29.7 | 0.9 | 11.8 | ||
| Median | 4.0 | 3.0 | 20.0 | 1.0 | 10.8 | ||
| High | 8 | 8 | 53 | 2 | 23.3 | ||
| Low | 2 | 2 | 17 | 0 | 3.7 | ||
Averages are raw, outliers are never removed.
How Mason Taylor should do vs the RaidersSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Raiders, plus a projection for this game.
What is this table?
Rows at the top are every game Mason Taylor has played this season, using the same stat columns as the table above.
Compare against picks which group of Raiders opponents to line them up with: the best TE they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Mason Taylor will land in this week, so this is your call, not a guess.
Raiders avg is the average line of that group. Difference is that minus Mason Taylor's own average: green means the defense gives that slot more than Mason Taylor usually produces.
Projected is Mason Taylor's recent-weighted average scaled by how generous the Raiders were to the slot you picked. Change the slot and the projected points change, because each slot has a different matchup adjustment. Picking Top 3 uses the usual-role projection.
| Wk | Opp | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|
| 1 | TEN | 3 | 2 | -2 | 0 | 1.8 |
| 5 | CLE | 3 | 3 | 24 | 0 | 5.4 |
| 6 | NE | 6 | 4 | 33 | 0 | 7.3 |
| 7 | MIA | 6 | 5 | 62 | 2 | 25.2 |
| 8 | LV | 5 | 3 | 19 | 0 | 4.9 |
| Taylor avg | 4.6 | 3.4 | 27.2 | 0.4 | 8.9 | |
| Raiders TE1 avg | 4.6 | 4.0 | 29.7 | 0.9 | 11.8 | |
| Difference | -0.0 | +0.6 | +2.5 | +0.5 | +2.9 | |
Difference is what the defense allows minus what Taylor averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.
Prediction & chance to scoreMason Taylor vs the Raiders
Prediction for Mason Taylor
Nobody knows which slot Mason Taylor will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Raiders.
I predict about 11.2 points for Mason Taylor if playing as a TE1. Mason Taylor has averaged 9.9 over 4 games, and the Raiders have given up 11.8 to TE1s (+12% vs the league average of 10.5).
How this projection is built
1. The player. Mason Taylor scored: Wk 1 1.8, Wk 5 5.4, Wk 6 7.3, Wk 7 25.2. Average 9.9; weighted toward recent games it is 10.3.
2. The defense. Over 7 games, the Raiders allowed 11.8 points to their opponent's TE1. The league average for that slot is 10.5, so that is +12%.
3. Trusting small samples less. With 7 defensive games, only 70% of the gap is applied, capped at +/-30%. That gives a +9% adjustment (x1.09).
4. Result. 10.3 x 1.09 = 11.2. Switching slots only changes step 2 and 3: the player's own numbers stay the same, but each slot faces a different defensive average.
It is a statistical model, not knowledge of injuries, game script or weather.
Chance to score
Type a point total to see how likely Mason Taylor is to reach it as a TE1.
Why this percentage?
The projection (11.2) is the middle of the range. Fantasy scores swing a lot from game to game, so the model spreads possible scores around it by about 9.2 points, leaning on Mason Taylor's own game-to-game swings once there are several games (and on typical TE swings before that).
Scores are modelled as right-skewed, since a big game is possible but a very negative one is not. The percentage is the share of that spread at or above 11.
With only 4 games of history, treat this as a rough gauge. It gets sharper as the season goes on. It is never lower than 1% or higher than 99%.
InsightsPlain-English takeaways from the table
- TE1s have averaged 4.0 receptions, 29.7 receiving yards and 0.9 receiving TDs against the Raiders across 7 games.
- The Raiders allow 11.8 PPR points to TE1s, +12% versus the league average of 10.5 (ranked 11 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 3, Juwan Johnson (23.3 pts, 8 rec) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.8 vs 9.9; rec 4.0 vs 3.3. The table above keeps the raw averages.
- Outlier: Week 7, Davis Allen (18.0 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.8 vs 10.8. The table above keeps the raw averages.
- 5 of 7 games reached 7+ PPR points. Scores range from 3.7 to 23.3 (median 10.8).
- TE1s scored a touchdown in 4 of 7 games (57%).
Insights are generated by rules from the table above and recalculate every week.