Mason Rudolph
QB
Pittsburgh Steelers
This is how QBs have played against the Texans in the 2026 season.
| Wk | Team | Player | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  BUF | Josh Allen | 20 | 29 | 334 | 2 | 0 | 6 | 23 | 2 | 35.7 |
| 2 |  CIN | Joe Burrow | 20 | 31 | 207 | 2 | 0 | 1 | -1 | 0 | 16.2 |
| 3 |  IND | Daniel Jones | 24 | 36 | 235 | 1 | 1 | 3 | 5 | 0 | 7.9 |
| 4 |  DAL | Dak Prescott | 32 | 45 | 335 | 1 | 0 | 2 | 7 | 0 | 18.1 |
| 5 |  TEN | Cam Ward | 23 | 36 | 170 | 0 | 1 | 1 | 2 | 0 | 5.0 |
| 6 |  JAX | Trevor Lawrence | 24 | 41 | 306 | 4 | 1 | 3 | 11 | 0 | 27.3 |
| 7 |  NYG | J.J. McCarthy | 20 | 28 | 252 | 0 | 0 | 1 | 1 | 0 | 10.2 |
| Average | 23.3 | 35.1 | 262.7 | 1.4 | 0.4 | 2.4 | 6.9 | 0.3 | 17.2 | ||
| Median | 23.0 | 36.0 | 252.0 | 1.0 | 0.0 | 2.0 | 5.0 | 0.0 | 16.2 | ||
| High | 32 | 45 | 335 | 4 | 1 | 6 | 23 | 2 | 35.7 | ||
| Low | 20 | 28 | 170 | 0 | 0 | 1 | -1 | 0 | 5.0 | ||
Averages are raw, outliers are never removed.
How Mason Rudolph should do vs the TexansSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Texans, plus a projection for this game.
What is this table?
Rows at the top are every game Mason Rudolph has played this season, using the same stat columns as the table above.
Compare against picks which group of Texans 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 Mason Rudolph will land in this week, so this is your call, not a guess.
Texans avg is the average line of that group. Difference is that minus Mason Rudolph's own average: green means the defense gives that slot more than Mason Rudolph usually produces.
Projected is Mason Rudolph's recent-weighted average scaled by how generous the Texans 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | NE | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 0.3 |
| Rudolph avg | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 0.0 | 0.3 | |
| Texans QB1 avg | 23.3 | 35.1 | 262.7 | 1.4 | 0.4 | 2.4 | 6.9 | 0.3 | 17.2 | |
| Difference | +23.3 | +34.1 | +262.7 | +1.4 | +0.4 | +1.4 | +3.9 | +0.3 | +16.9 | |
| Projected as QB1 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.1 | 0.0 | 2.7 | |
Difference is what the defense allows minus what Rudolph 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 · Mason RudolphMedium confidence · 2.7 proj pts1/10 start
- Mason Rudolph averages 0.3 PPR points over 1 game (recent-weighted 0.3) and has played as the team's QB1.
- The Texans have allowed 17.2 points to QB1s over 7 games (+4% vs league). The model applies 70% of that gap because the sample is small, giving a +3% adjustment.
- Last season's average (3.8) is blended in at 67% weight because this season's sample is small.
- Projection: 2.7 points.
- For reference, a typical weekly starter-level QB scores about 19.1 and a top-tier one about 23.8.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreMason Rudolph vs the Texans
Prediction for Mason Rudolph
Nobody knows which slot Mason Rudolph will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Texans.
I predict about 2.7 points for Mason Rudolph if playing as a QB1. Mason Rudolph has averaged 0.3 over 1 game, and the Texans have given up 17.2 to QB1s (+4% vs the league average of 16.5).
How this projection is built
1. The player. Mason Rudolph scored: Wk 2 0.3. Average 0.3; weighted toward recent games it is 2.6.
2. The defense. Over 7 games, the Texans allowed 17.2 points to their opponent's QB1. The league average for that slot is 16.5, so that is +4%.
3. Trusting small samples less. With 7 defensive games, only 70% of the gap is applied, capped at +/-30%. That gives a +3% adjustment (x1.03).
4. Result. 2.6 x 1.03 = 2.7. 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 Mason Rudolph is to reach it as a QB1.
Why this percentage?
The projection (2.7) 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 1.6 points, leaning on Mason Rudolph'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 3.
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 262.7 passing yards, 1.4 passing TDs and 6.9 rushing yards against the Texans across 7 games.
- The Texans allow 17.2 PPR points to QB1s, +4% versus the league average of 16.5 (ranked 16 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 1, Josh Allen (35.7 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 17.2 vs 14.1. The table above keeps the raw averages.
- Outlier: Week 6, Trevor Lawrence (27.3 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 17.2 vs 15.5. The table above keeps the raw averages.
- 4 of 7 games reached 15+ PPR points. Scores range from 5.0 to 35.7 (median 16.2).
- Every QB1 in the sample cleared 150 passing yards.
- QB1s scored a touchdown in 5 of 7 games (71%).
Insights are generated by rules from the table above and recalculate every week.