Sam Darnold
QB
Seattle SeahawksOut
This is how QBs have played against the Cardinals in the 2026 season.
| Wk | Team | Player | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  LAC | Justin Herbert | 17 | 27 | 209 | 1 | 1 | 5 | 29 | 0 | 13.3 |
| Average | 17.0 | 27.0 | 209.0 | 1.0 | 1.0 | 5.0 | 29.0 | 0.0 | 13.3 | ||
| Median | 17.0 | 27.0 | 209.0 | 1.0 | 1.0 | 5.0 | 29.0 | 0.0 | 13.3 | ||
| High | 17 | 27 | 209 | 1 | 1 | 5 | 29 | 0 | 13.3 | ||
| Low | 17 | 27 | 209 | 1 | 1 | 5 | 29 | 0 | 13.3 | ||
Averages are raw, outliers are never removed.
How Sam Darnold 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 Sam Darnold 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 QB they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Sam Darnold 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 Sam Darnold's own average: green means the defense gives that slot more than Sam Darnold usually produces.
Projected is Sam Darnold'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 | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | NE | 1 | 2 | 13 | 0 | 0 | 0 | 0 | 0 | 0.5 |
| 3 | WAS | 31 | 45 | 379 | 4 | 2 | 1 | 5 | 0 | 27.7 |
| 4 | LAC | 13 | 22 | 168 | 2 | 1 | 3 | 6 | 0 | 13.3 |
| 5 | SF | 18 | 29 | 195 | 1 | 2 | 1 | 5 | 0 | 8.3 |
| 6 | DEN | 27 | 51 | 278 | 0 | 2 | 2 | 19 | 0 | 11.0 |
| 7 | KC | 20 | 28 | 257 | 1 | 1 | 2 | 17 | 0 | 14.0 |
| 8 | CHI | 17 | 34 | 188 | 2 | 1 | 2 | 20 | 0 | 17.5 |
| Darnold avg | 18.1 | 30.1 | 211.1 | 1.4 | 1.3 | 1.6 | 10.3 | 0.0 | 13.2 | |
| Cardinals QB1 avg | 17.0 | 27.0 | 209.0 | 1.0 | 1.0 | 5.0 | 29.0 | 0.0 | 13.3 | |
| Difference | -1.1 | -3.1 | -2.1 | -0.4 | -0.3 | +3.4 | +18.7 | +0.0 | +0.1 | |
Difference is what the defense allows minus what Darnold 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 scoreSam Darnold vs the Cardinals
Prediction for Sam Darnold
Nobody knows which slot Sam Darnold 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 8.8 points for Sam Darnold if playing as a QB1. Sam Darnold has averaged 0.5 over 1 game, and the Cardinals have given up 13.3 to QB1s (-24% vs the league average of 17.4).
How this projection is built
1. The player. Sam Darnold scored: Wk 1 0.5. Average 0.5; weighted toward recent games it is 9.4.
2. The defense. Over 1 game, the Cardinals allowed 13.3 points to their opponent's QB1. The league average for that slot is 17.4, so that is -24%.
3. Trusting small samples less. With 1 defensive game, only 25% of the gap is applied, capped at +/-30%. That gives a -6% adjustment (x0.94).
4. Result. 9.4 x 0.94 = 8.8. 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 Sam Darnold is to reach it as a QB1.
Why this percentage?
The projection (8.8) 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 5.3 points, leaning on Sam Darnold's own game-to-game swings once there are several games (and on typical QB 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 9.
With only 1 game 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
- QB1s have averaged 209.0 passing yards, 1.0 passing TDs and 29.0 rushing yards against the Cardinals across 1 game.
- The Cardinals allow 13.3 PPR points to QB1s, -24% versus the league average of 17.4 (ranked 22 of 32, where 1 is most generous). That is a tough matchup.
- QB1s scored a touchdown in 1 of 1 games (100%).
- Small sample: only 1 game so far. Treat these numbers as directional, not settled.
Insights are generated by rules from the table above and recalculate every week.