Ka'imi Fairbairn
K
Houston Texans
This is how Ks have played against the Titans in the 2026 season.
| Wk | Team | Player | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  NYJ | Jason Sanders | 3 | 4 | 2 | 52 | 2 | 15.0 |
| 2 |  PHI | Jake Elliott | 1 | 1 | 1 | 58 | 3 | 8.0 |
| 3 |  NYG | Dominic Zvada | 4 | 4 | 0 | 39 | 0 | 12.0 |
| 4 |  BAL | Tyler Loop | 1 | 2 | 1 | 64 | 3 | 8.0 |
| Average | 2.3 | 2.8 | 1.0 | 53.3 | 2.0 | 10.8 | ||
| Median | 2.0 | 3.0 | 1.0 | 55.0 | 2.5 | 10.0 | ||
| High | 4 | 4 | 2 | 64 | 3 | 15.0 | ||
| Low | 1 | 1 | 0 | 39 | 0 | 8.0 | ||
Averages are raw, outliers are never removed. Kicker scoring: FG 3/4/5 by distance, XP 1, missed FG under 40 yds -1.
How Ka'imi Fairbairn should do vs the TitansSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Titans, plus a projection for this game.
What is this table?
Rows at the top are every game Ka'imi Fairbairn has played this season, using the same stat columns as the table above.
Compare against picks which group of Titans opponents to line them up with: the best K they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Ka'imi Fairbairn will land in this week, so this is your call, not a guess.
Titans avg is the average line of that group. Difference is that minus Ka'imi Fairbairn's own average: green means the defense gives that slot more than Ka'imi Fairbairn usually produces.
Projected is Ka'imi Fairbairn's recent-weighted average scaled by how generous the Titans 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 | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|
| 1 | BUF | 1 | 1 | 1 | 58 | 4 | 9.0 |
| 2 | CIN | 2 | 3 | 1 | 45 | 0 | 7.0 |
| 3 | IND | 1 | 1 | 0 | 24 | 2 | 5.0 |
| 4 | DAL | 3 | 3 | 2 | 54 | 3 | 16.0 |
| 5 | TEN | 4 | 4 | 2 | 53 | 2 | 17.0 |
| 6 | JAX | 2 | 2 | 1 | 49 | 4 | 11.0 |
| 7 | NYG | 2 | 2 | 2 | 58 | 1 | 11.0 |
| Fairbairn avg | 2.1 | 2.3 | 1.3 | 48.7 | 2.3 | 10.9 | |
| Titans K1 avg | 2.3 | 2.8 | 1.0 | 53.3 | 2.0 | 10.8 | |
| Difference | +0.1 | +0.5 | -0.3 | +4.5 | -0.3 | -0.1 | |
Difference is what the defense allows minus what Fairbairn 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 scoreKa'imi Fairbairn vs the Titans
Prediction for Ka'imi Fairbairn
Nobody knows which slot Ka'imi Fairbairn will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Titans.
I predict about 12.4 points for Ka'imi Fairbairn if playing as a K1. Ka'imi Fairbairn has averaged 9.3 over 4 games, and the Titans have given up 10.8 to K1s (+24% vs the league average of 8.7).
How this projection is built
1. The player. Ka'imi Fairbairn scored: Wk 1 9.0, Wk 2 7.0, Wk 3 5.0, Wk 4 16.0. Average 9.3; weighted toward recent games it is 10.9.
2. The defense. Over 4 games, the Titans allowed 10.8 points to their opponent's K1. The league average for that slot is 8.7, so that is +24%.
3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a +14% adjustment (x1.14).
4. Result. 10.9 x 1.14 = 12.4. 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 Ka'imi Fairbairn is to reach it as a K1.
Why this percentage?
The projection (12.4) 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 5.7 points, leaning on Ka'imi Fairbairn's own game-to-game swings once there are several games (and on typical K 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 4 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
- K1s have averaged 2.3 field goals made, 2.8 field goal attempts and 2.0 extra points against the Titans across 4 games.
- The Titans allow 10.8 PPR points to K1s, +24% versus the league average of 8.7 (ranked 8 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 1, Jason Sanders (15.0 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 10.8 vs 9.3. The table above keeps the raw averages.
- Outlier: Week 3, Dominic Zvada (4 FG) sits far above the other games and pulls the averages up. Average with it vs without it: FG 2.3 vs 1.7. The table above keeps the raw averages.
- 4 of 4 games reached 8+ PPR points. Scores range from 8.0 to 15.0 (median 10.0).
Insights are generated by rules from the table above and recalculate every week.