Bo Nix
QB
Denver Broncos
- Top target RJ Harvey 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 Seahawks in the 2026 season.
| Wk | Team | Player | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  NE | Drake Maye | 23 | 33 | 178 | 1 | 3 | 7 | 47 | 0 | 9.8 |
| 2 |  ARI | Jacoby Brissett | 17 | 28 | 95 | 1 | 1 | 1 | 7 | 0 | 6.5 |
| 3 |  WAS | Marcus Mariota | 19 | 31 | 183 | 3 | 0 | 5 | 11 | 0 | 20.4 |
| 4 |  LAC | Justin Herbert | 19 | 31 | 189 | 1 | 2 | 6 | 40 | 0 | 9.6 |
| 5 |  SF | Brock Purdy | 19 | 29 | 189 | 2 | 1 | 5 | 6 | 0 | 16.2 |
| Average | 19.4 | 30.4 | 166.8 | 1.6 | 1.4 | 4.8 | 22.2 | 0.0 | 12.5 | ||
| Median | 19.0 | 31.0 | 183.0 | 1.0 | 1.0 | 5.0 | 11.0 | 0.0 | 9.8 | ||
| High | 23 | 33 | 189 | 3 | 3 | 7 | 47 | 0 | 20.4 | ||
| Low | 17 | 28 | 95 | 1 | 0 | 1 | 6 | 0 | 6.5 | ||
Averages are raw, outliers are never removed.
How Bo Nix should do vs the SeahawksSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Seahawks, plus a projection for this game.
What is this table?
Rows at the top are every game Bo Nix has played this season, using the same stat columns as the table above.
Compare against picks which group of Seahawks 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 Bo Nix will land in this week, so this is your call, not a guess.
Seahawks avg is the average line of that group. Difference is that minus Bo Nix's own average: green means the defense gives that slot more than Bo Nix usually produces.
Projected is Bo Nix's recent-weighted average scaled by how generous the Seahawks 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 | KC | 17 | 28 | 131 | 1 | 1 | 3 | 2 | 0 | 5.4 |
| 2 | JAX | 22 | 31 | 288 | 1 | 1 | 5 | 6 | 0 | 14.1 |
| 3 | LA | 17 | 34 | 186 | 2 | 1 | 4 | 7 | 1 | 24.1 |
| 4 | SF | 25 | 42 | 214 | 1 | 0 | 2 | 10 | 0 | 13.6 |
| 5 | LAC | 16 | 27 | 123 | 1 | 0 | 4 | 10 | 0 | 7.9 |
| 6 | SEA | 17 | 27 | 107 | 0 | 0 | 4 | 2 | 0 | 4.5 |
| 7 | ARI | 15 | 29 | 222 | 1 | 0 | 7 | 73 | 1 | 26.2 |
| 8 | KC | 20 | 32 | 222 | 2 | 0 | 3 | 4 | 0 | 19.3 |
| Nix avg | 18.6 | 31.3 | 186.6 | 1.1 | 0.4 | 4.0 | 14.3 | 0.3 | 14.4 | |
| Seahawks QB1 avg | 19.4 | 30.4 | 166.8 | 1.6 | 1.4 | 4.8 | 22.2 | 0.0 | 12.5 | |
| Difference | +0.8 | -0.9 | -19.8 | +0.5 | +1.0 | +0.8 | +7.9 | -0.3 | -1.9 | |
Difference is what the defense allows minus what Nix 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 scoreBo Nix vs the Seahawks
Prediction for Bo Nix
Nobody knows which slot Bo Nix will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Seahawks.
I predict about 12.1 points for Bo Nix if playing as a QB1. Bo Nix has averaged 13.0 over 5 games, and the Seahawks have given up 12.5 to QB1s (-26% vs the league average of 16.9).
How this projection is built
1. The player. Bo Nix scored: Wk 1 5.4, Wk 2 14.1, Wk 3 24.1, Wk 4 13.6, Wk 5 7.9. Average 13.0; weighted toward recent games it is 14.4.
2. The defense. Over 5 games, the Seahawks allowed 12.5 points to their opponent's QB1. The league average for that slot is 16.9, so that is -26%.
3. Trusting small samples less. With 5 defensive games, only 63% of the gap is applied, capped at +/-30%. That gives a -16% adjustment (x0.84).
4. Result. 14.4 x 0.84 = 12.1. 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 Bo Nix is to reach it as a QB1.
Why this percentage?
The projection (12.1) 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 7.2 points, leaning on Bo Nix'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 12.
With only 5 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 166.8 passing yards, 1.6 passing TDs and 22.2 rushing yards against the Seahawks across 5 games.
- The Seahawks allow 12.5 PPR points to QB1s, -26% versus the league average of 16.9 (ranked 28 of 32, where 1 is most generous). That is a tough matchup.
- Outlier: Week 3, Marcus Mariota (20.4 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 12.5 vs 10.5. The table above keeps the raw averages.
- 2 of 5 games reached 15+ PPR points. Scores range from 6.5 to 20.4 (median 9.8).
- Every QB1 in the sample cleared 80 passing yards.
- QB1s scored a touchdown in 5 of 5 games (100%).
Insights are generated by rules from the table above and recalculate every week.