SportsProof
Jaxon Smith-Njigba

Jaxon Smith-Njigba

WRSEASeattle Seahawks▲ Hot

Other WRs on SEA
Heads up
  • Quarterback Sam Darnold is out, so a backup is throwing. Smith-Njigba's numbers may take a hit.
  • Teammate Rashid Shaheed (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.

Games
8
2026 season
PPR PPG
27.5
WR1 overall
Total pts
220.0

This is how WRs have played against the 49ers in the 2026 season.

WR1 = the highest-scoring WR against 49ers in each game, not a fixed depth-chart spot.

WkTeamPlayerTgtRecReYdReTDFPts
1LALAPuka Nacua9574012.4
2MIAMIARyan Miller1177114.7
3ARIARIMichael Wilson171189125.9
4DENDENJaylen Waddle6535114.5
Average8.35.568.80.816.9
Median7.55.075.51.014.6
High171189125.9
Low1135012.4

Averages are raw, outliers are never removed.

WR1 avg pts
16.9
PPR per game
Rank
17
of 32 (1 = most allowed)
vs League
-4%
lg avg 17.5
How Jaxon Smith-Njigba should do vs the 49ersSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the 49ers, plus a projection for this game.

What is this table?

Rows at the top are every game Jaxon Smith-Njigba has played this season, using the same stat columns as the table above.

Compare against picks which group of 49ers opponents to line them up with: the best WR they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Jaxon Smith-Njigba will land in this week, so this is your call, not a guess.

49ers avg is the average line of that group. Difference is that minus Jaxon Smith-Njigba's own average: green means the defense gives that slot more than Jaxon Smith-Njigba usually produces.

Projected is Jaxon Smith-Njigba's recent-weighted average scaled by how generous the 49ers 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.

Compare against
WkOppTgtRecReYdReTDFPts
1NE118122126.2
2ARI119155342.5
3WAS1410128235.4
4LAC6576012.6
5SF85102122.8
6DEN1612134025.4
7KC129150131.3
8CHI116118123.8
Smith-Njigba avg11.18.0123.11.127.5
49ers WR1 avg8.35.568.80.816.9
Difference-2.9-2.5-54.4-0.4-10.6

Difference is what the defense allows minus what Smith-Njigba 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 scoreJaxon Smith-Njigba vs the 49ers

Prediction for Jaxon Smith-Njigba

Nobody knows which slot Jaxon Smith-Njigba will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the 49ers.

If Jaxon Smith-Njigba plays as
24.9
projected PPR points

I predict about 24.9 points for Jaxon Smith-Njigba if playing as a WR1. Jaxon Smith-Njigba has averaged 29.2 over 4 games, and the 49ers have given up 16.9 to WR1s (-4% vs the league average of 17.5).

How this projection is built

1. The player. Jaxon Smith-Njigba scored: Wk 1 26.2, Wk 2 42.5, Wk 3 35.4, Wk 4 12.6. Average 29.2; weighted toward recent games it is 25.5.

2. The defense. Over 4 games, the 49ers allowed 16.9 points to their opponent's WR1. The league average for that slot is 17.5, so that is -4%.

3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a -2% adjustment (x0.98).

4. Result. 25.5 x 0.98 = 24.9. 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 Jaxon Smith-Njigba is to reach it as a WR1.

43%
chance of 25+ PPR points
Why this percentage?

The projection (24.9) 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 13.6 points, leaning on Jaxon Smith-Njigba's own game-to-game swings once there are several games (and on typical WR 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 25.

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
  • WR1s have averaged 5.5 receptions, 68.8 receiving yards and 0.8 receiving TDs against the 49ers across 4 games.
  • The 49ers allow 16.9 PPR points to WR1s, -4% versus the league average of 17.5 (ranked 17 of 32, where 1 is most generous). That is a near-average matchup.
  • Outlier: Week 3, Michael Wilson (25.9 pts, 11 rec) sits far above the other games and pulls the averages up. Average with it vs without it: pts 16.9 vs 13.9; rec 5.5 vs 3.7. The table above keeps the raw averages.
  • Outlier: Week 2, Ryan Miller (1 rec) sits far below the other games and drags the averages down. Average with it vs without it: rec 5.5 vs 7.0. The table above keeps the raw averages.
  • 4 of 4 games reached 10+ PPR points. Scores range from 12.4 to 25.9 (median 14.6).
  • Every WR1 in the sample cleared 30 receiving yards.
  • WR1s scored a touchdown in 3 of 4 games (75%).

Insights are generated by rules from the table above and recalculate every week.