Matthew Stafford
QB
Los Angeles Rams
- Top target Davante Adams is on IR, which can lower the passing game.
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 QBs have played against the Raiders in the 2026 season.
| Wk | Team | Player | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  MIA | Malik Willis | 15 | 27 | 220 | 0 | 1 | 6 | 39 | 1 | 16.7 |
| 2 |  LAC | Justin Herbert | 15 | 27 | 192 | 1 | 2 | 3 | 2 | 0 | 7.9 |
| 3 |  NO | Tyler Shough | 29 | 42 | 255 | 4 | 1 | 1 | 36 | 0 | 23.8 |
| 4 |  KC | Patrick Mahomes | 15 | 30 | 225 | 2 | 0 | 2 | 0 | 0 | 17.0 |
| 5 |  NE | Drake Maye | 26 | 34 | 374 | 4 | 0 | 7 | 25 | 1 | 39.5 |
| 6 |  BUF | Josh Allen | 23 | 33 | 255 | 2 | 0 | 5 | 1 | 0 | 18.3 |
| Average | 20.5 | 32.2 | 253.5 | 2.2 | 0.7 | 4.0 | 17.2 | 0.3 | 20.5 | ||
| Median | 19.0 | 31.5 | 240.0 | 2.0 | 0.5 | 4.0 | 13.5 | 0.0 | 17.6 | ||
| High | 29 | 42 | 374 | 4 | 2 | 7 | 39 | 1 | 39.5 | ||
| Low | 15 | 27 | 192 | 0 | 0 | 1 | 0 | 0 | 7.9 | ||
Averages are raw, outliers are never removed.
How Matthew Stafford 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 Matthew Stafford 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 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 Matthew Stafford 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 Matthew Stafford's own average: green means the defense gives that slot more than Matthew Stafford usually produces.
Projected is Matthew Stafford'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 | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | SF | 15 | 25 | 155 | 0 | 1 | 2 | -1 | 0 | 4.1 |
| 2 | NYG | 22 | 31 | 327 | 4 | 1 | 4 | -1 | 0 | 27.0 |
| 3 | DEN | 30 | 55 | 390 | 2 | 2 | 2 | 13 | 0 | 20.9 |
| 4 | PHI | 32 | 51 | 317 | 0 | 2 | 3 | 10 | 0 | 9.7 |
| 5 | BUF | 40 | 54 | 383 | 3 | 0 | 0 | 0 | 0 | 27.3 |
| 6 | ARI | 25 | 33 | 222 | 2 | 0 | 0 | 0 | 0 | 16.9 |
| 7 | LV | 23 | 29 | 195 | 3 | 1 | 3 | -3 | 0 | 17.5 |
| 8 | LAC | 17 | 25 | 157 | 1 | 1 | 0 | 0 | 0 | 8.3 |
| Stafford avg | 25.5 | 37.9 | 268.3 | 1.9 | 1.0 | 1.8 | 2.3 | 0.0 | 16.5 | |
| Raiders QB1 avg | 20.5 | 32.2 | 253.5 | 2.2 | 0.7 | 4.0 | 17.2 | 0.3 | 20.5 | |
| Difference | -5.0 | -5.7 | -14.8 | +0.3 | -0.3 | +2.3 | +14.9 | +0.3 | +4.1 | |
Difference is what the defense allows minus what Stafford 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 scoreMatthew Stafford vs the Raiders
Prediction for Matthew Stafford
Nobody knows which slot Matthew Stafford 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 21.9 points for Matthew Stafford if playing as a QB1. Matthew Stafford has averaged 17.6 over 6 games, and the Raiders have given up 20.5 to QB1s (+23% vs the league average of 16.7).
How this projection is built
1. The player. Matthew Stafford scored: Wk 1 4.1, Wk 2 27.0, Wk 3 20.9, Wk 4 9.7, Wk 5 27.3, Wk 6 16.9. Average 17.6; weighted toward recent games it is 19.0.
2. The defense. Over 6 games, the Raiders allowed 20.5 points to their opponent's QB1. The league average for that slot is 16.7, so that is +23%.
3. Trusting small samples less. With 6 defensive games, only 67% of the gap is applied, capped at +/-30%. That gives a +15% adjustment (x1.15).
4. Result. 19.0 x 1.15 = 21.9. 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 Matthew Stafford is to reach it as a QB1.
Why this percentage?
The projection (21.9) 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 9.4 points, leaning on Matthew Stafford'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 22.
With only 6 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
- QB1s have averaged 253.5 passing yards, 2.2 passing TDs and 17.2 rushing yards against the Raiders across 6 games.
- The Raiders allow 20.5 PPR points to QB1s, +23% versus the league average of 16.7 (ranked 5 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 5, Drake Maye (39.5 pts, 374 pass yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 20.5 vs 16.7; pass yds 253.5 vs 229.4. The table above keeps the raw averages.
- Outlier: Week 2, Justin Herbert (7.9 pts) sits far below the other games and drags the averages down. Average with it vs without it: pts 20.5 vs 23.1. The table above keeps the raw averages.
- 5 of 6 games reached 15+ PPR points. Scores range from 7.9 to 39.5 (median 17.6).
- Every QB1 in the sample cleared 150 passing yards.
- QB1s scored a touchdown in 6 of 6 games (100%).
Insights are generated by rules from the table above and recalculate every week.