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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 Cardinals in the 2026 season.

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

WkTeamPlayerTgtRecReYdReTDFPts
1LACLACLadd McConkey7582119.2
2SEASEAJaxon Smith-Njigba119155342.5
3SFSFMike Evans6334112.4
4NYGNYGMalik Nabers76112123.2
5DETDETJameson Williams4247218.7
6LALAPuka Nacua7680014.0
7DENDENJaylen Waddle744808.8
8DALDALRyan Flournoy4338113.1
Average6.64.874.51.119.0
Median7.04.564.01.016.4
High119155342.5
Low423408.8

Averages are raw, outliers are never removed.

WR1 avg pts
19.0
PPR per game
Rank
9
of 32 (1 = most allowed)
vs League
+11%
lg avg 17.1
How Jaxon Smith-Njigba should do vs the CardinalsSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Cardinals, 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 Cardinals 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.

Cardinals 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 Cardinals 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
Cardinals WR1 avg6.64.874.51.119.0
Difference-4.5-3.3-48.6+0.0-8.5
Projected as WR112.08.6132.81.227.4

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.

Start / Sit · Jaxon Smith-NjigbaGood confidence · 26.5 proj pts10/10 start
  • Jaxon Smith-Njigba averages 27.5 PPR points over 8 games (recent-weighted 26.5) and has played as the team's WR1.
  • The Cardinals have allowed 19.0 points to WR1s over 8 games (+11% vs league). The model applies 73% of that gap because the sample is small, giving a +8% adjustment.
  • Last season's average (21.2) is blended in at 20% weight because this season's sample is small.
  • Game environment -2%: Vegas total 39.5, implied 24.0 points for SEA (league avg 22.6); Favored by 8.5: leaning run-heavy late; Rain likely (0.6 mm, 12% chance): teams run more, fewer big passes.
  • QB change: Sam Darnold is now throwing (7.0 yds/att vs 7.2 earlier), x0.98.
  • Flag: Quarterback Sam Darnold is out, so a backup is throwing. Smith-Njigba's numbers may take a hit.
  • Projection: 26.5 points.
  • For reference, a typical weekly starter-level WR scores about 12.2 and a top-tier one about 20.9.
  • A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreJaxon Smith-Njigba vs the Cardinals

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 Cardinals.

If Jaxon Smith-Njigba plays as
27.4
projected PPR points

I predict about 27.4 points for Jaxon Smith-Njigba if playing as a WR1. Jaxon Smith-Njigba has averaged 27.5 over 8 games, and the Cardinals have given up 19.0 to WR1s (+11% vs the league average of 17.1).

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, Wk 5 22.8, Wk 6 25.4, Wk 7 31.3, Wk 8 23.8. Average 27.5; weighted toward recent games it is 25.4.

2. The defense. Over 8 games, the Cardinals allowed 19.0 points to their opponent's WR1. The league average for that slot is 17.1, so that is +11%.

3. Trusting small samples less. With 8 defensive games, only 73% of the gap is applied, capped at +/-30%. That gives a +8% adjustment (x1.08).

4. Result. 25.4 x 1.08 = 27.4. 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.

46%
chance of 27+ PPR points
Why this percentage?

The projection (27.4) 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 11.0 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 27.

With only 8 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 4.8 receptions, 74.5 receiving yards and 1.1 receiving TDs against the Cardinals across 8 games.
  • The Cardinals allow 19.0 PPR points to WR1s, +11% versus the league average of 17.1 (ranked 9 of 32, where 1 is most generous). That is a favorable matchup.
  • Outlier: Week 2, Jaxon Smith-Njigba (42.5 pts, 9 rec, 155 yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 19.0 vs 15.6; rec 4.8 vs 4.1; yds 74.5 vs 63.0. The table above keeps the raw averages.
  • Outlier: Week 4, Malik Nabers (112 yds) sits far above the other games and pulls the averages up. Average with it vs without it: yds 74.5 vs 69.1. The table above keeps the raw averages.
  • 7 of 8 games reached 10+ PPR points. Scores range from 8.8 to 42.5 (median 16.4).
  • Every WR1 in the sample cleared 30 receiving yards.
  • WR1s scored a touchdown in 6 of 8 games (75%).

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