Jason Myers
K
Seattle Seahawks
This is how Ks have played against the Chiefs in the 2026 season.
| Wk | Team | Player | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  DEN | Wil Lutz | 1 | 1 | 0 | 31 | 1 | 4.0 |
| 2 |  IND | Spencer Shrader | 3 | 3 | 2 | 49 | 3 | 14.0 |
| 3 |  MIA | Riley Patterson | 1 | 1 | 0 | 37 | 1 | 4.0 |
| 4 |  LV | Matt Gay | 4 | 4 | 3 | 48 | 1 | 16.0 |
| 6 |  LAC | Cameron Dicker | 2 | 2 | 0 | 30 | 0 | 6.0 |
| Average | 2.2 | 2.2 | 1.0 | 39.0 | 1.2 | 8.8 | ||
| Median | 2.0 | 2.0 | 0.0 | 37.0 | 1.0 | 6.0 | ||
| High | 4 | 4 | 3 | 49 | 3 | 16.0 | ||
| Low | 1 | 1 | 0 | 30 | 0 | 4.0 | ||
Averages are raw, outliers are never removed. Kicker scoring: FG 3/4/5 by distance, XP 1, missed FG under 40 yds -1.
How Jason Myers should do vs the ChiefsSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Chiefs, plus a projection for this game.
What is this table?
Rows at the top are every game Jason Myers has played this season, using the same stat columns as the table above.
Compare against picks which group of Chiefs 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 Jason Myers will land in this week, so this is your call, not a guess.
Chiefs avg is the average line of that group. Difference is that minus Jason Myers's own average: green means the defense gives that slot more than Jason Myers usually produces.
Projected is Jason Myers's recent-weighted average scaled by how generous the Chiefs 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 | NE | 2 | 2 | 0 | 30 | 1 | 7.0 |
| 2 | ARI | 1 | 1 | 0 | 33 | 4 | 7.0 |
| 3 | WAS | 1 | 1 | 1 | 57 | 4 | 9.0 |
| 4 | LAC | 1 | 1 | 0 | 35 | 3 | 6.0 |
| 5 | SF | 5 | 5 | 5 | 50 | 2 | 23.0 |
| 6 | DEN | 2 | 3 | 1 | 55 | 0 | 8.0 |
| 7 | KC | 2 | 2 | 0 | 35 | 2 | 8.0 |
| 8 | CHI | 1 | 2 | 0 | 27 | 0 | 3.0 |
| Myers avg | 1.9 | 2.1 | 0.9 | 40.3 | 2.0 | 8.9 | |
| Chiefs K1 avg | 2.2 | 2.2 | 1.0 | 39.0 | 1.2 | 8.8 | |
| Difference | +0.3 | +0.1 | +0.1 | -1.3 | -0.8 | -0.1 | |
Difference is what the defense allows minus what Myers 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 scoreJason Myers vs the Chiefs
Prediction for Jason Myers
Nobody knows which slot Jason Myers will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Chiefs.
I predict about 11.0 points for Jason Myers if playing as a K1. Jason Myers has averaged 10.0 over 6 games, and the Chiefs have given up 8.8 to K1s (-1% vs the league average of 8.9).
How this projection is built
1. The player. Jason Myers scored: Wk 1 7.0, Wk 2 7.0, Wk 3 9.0, Wk 4 6.0, Wk 5 23.0, Wk 6 8.0. Average 10.0; weighted toward recent games it is 11.1.
2. The defense. Over 5 games, the Chiefs allowed 8.8 points to their opponent's K1. The league average for that slot is 8.9, so that is -1%.
3. Trusting small samples less. With 5 defensive games, only 63% of the gap is applied, capped at +/-30%. That gives a -1% adjustment (x0.99).
4. Result. 11.1 x 0.99 = 11.0. 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 Jason Myers is to reach it as a K1.
Why this percentage?
The projection (11.0) 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 6.4 points, leaning on Jason Myers'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 11.
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
- K1s have averaged 2.2 field goals made, 2.2 field goal attempts and 1.2 extra points against the Chiefs across 5 games.
- The Chiefs allow 8.8 PPR points to K1s, -1% versus the league average of 8.9 (ranked 17 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 4, Matt Gay (16.0 pts, 4 FG) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.8 vs 7.0; FG 2.2 vs 1.8. The table above keeps the raw averages.
- Outlier: Week 2, Spencer Shrader (14.0 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.8 vs 7.5. The table above keeps the raw averages.
- 2 of 5 games reached 8+ PPR points. Scores range from 4.0 to 16.0 (median 6.0).
Insights are generated by rules from the table above and recalculate every week.