Malik Nabers
WR
New York GiantsQ▲ Hot
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.
| Wk | Team | Player | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|
| 1 |  LAC | Ladd McConkey | 7 | 5 | 82 | 1 | 19.2 |
| 2 |  SEA | Jaxon Smith-Njigba | 11 | 9 | 155 | 3 | 42.5 |
| 3 |  SF | Mike Evans | 6 | 3 | 34 | 1 | 12.4 |
| Average | 8.0 | 5.7 | 90.3 | 1.7 | 24.7 | ||
| Median | 7.0 | 5.0 | 82.0 | 1.0 | 19.2 | ||
| High | 11 | 9 | 155 | 3 | 42.5 | ||
| Low | 6 | 3 | 34 | 1 | 12.4 | ||
Averages are raw, outliers are never removed.
How Malik Nabers 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 Malik Nabers 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 Malik Nabers 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 Malik Nabers's own average: green means the defense gives that slot more than Malik Nabers usually produces.
Projected is Malik Nabers'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.
| Wk | Opp | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|
| 1 | DAL | 9 | 6 | 69 | 0 | 12.9 |
| 2 | LA | 4 | 1 | 1 | 0 | 1.1 |
| 3 | TEN | 6 | 5 | 26 | 0 | 7.6 |
| 4 | ARI | 7 | 6 | 112 | 1 | 23.2 |
| 5 | WAS | 20 | 11 | 121 | 1 | 29.1 |
| 6 | NO | 15 | 12 | 165 | 0 | 28.5 |
| 7 | HOU | 9 | 7 | 111 | 0 | 18.1 |
| Nabers avg | 10.0 | 6.9 | 86.4 | 0.3 | 17.2 | |
| Cardinals WR1 avg | 8.0 | 5.7 | 90.3 | 1.7 | 24.7 | |
| Difference | -2.0 | -1.2 | +3.9 | +1.4 | +7.5 | |
Difference is what the defense allows minus what Nabers 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 scoreMalik Nabers vs the Cardinals
Prediction for Malik Nabers
Nobody knows which slot Malik Nabers will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Cardinals.
I predict about 12.0 points for Malik Nabers if playing as a WR1. Malik Nabers has averaged 7.2 over 3 games, and the Cardinals have given up 24.7 to WR1s (+44% vs the league average of 17.1).
How this projection is built
1. The player. Malik Nabers scored: Wk 1 12.9, Wk 2 1.1, Wk 3 7.6. Average 7.2; weighted toward recent games it is 9.8.
2. The defense. Over 3 games, the Cardinals allowed 24.7 points to their opponent's WR1. The league average for that slot is 17.1, so that is +44%.
3. Trusting small samples less. With 3 defensive games, only 50% of the gap is applied, capped at +/-30%. That gives a +22% adjustment (x1.22).
4. Result. 9.8 x 1.22 = 12.0. 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 Malik Nabers is to reach it as a WR1.
Why this percentage?
The projection (12.0) 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 6.6 points, leaning on Malik Nabers'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 12.
With only 3 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 5.7 receptions, 90.3 receiving yards and 1.7 receiving TDs against the Cardinals across 3 games.
- The Cardinals allow 24.7 PPR points to WR1s, +44% versus the league average of 17.1 (ranked 3 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 24.7 vs 15.8; rec 5.7 vs 4.0; yds 90.3 vs 58.0. The table above keeps the raw averages.
- Outlier: Week 3, Mike Evans (34 yds) sits far below the other games and drags the averages down. Average with it vs without it: yds 90.3 vs 118.5. The table above keeps the raw averages.
- 3 of 3 games reached 10+ PPR points. Scores range from 12.4 to 42.5 (median 19.2).
- Every WR1 in the sample cleared 30 receiving yards.
- WR1s scored a touchdown in 3 of 3 games (100%).
Insights are generated by rules from the table above and recalculate every week.