Jason Myers
K
Seattle Seahawks
This is how Ks have played against the Raiders in the 2026 season.
| Wk | Team | Player | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  MIA | Riley Patterson | 2 | 3 | 1 | 41 | 1 | 8.0 |
| 2 |  LAC | Cameron Dicker | 0 | 1 | 0 | 0 | 2 | 2.0 |
| 3 |  NO | Daniel Carlson | 0 | 0 | 0 | 0 | 3 | 3.0 |
| 4 |  KC | Harrison Butker | 1 | 1 | 0 | 28 | 3 | 6.0 |
| 5 |  NE | Andy Borregales | 1 | 1 | 0 | 28 | 6 | 9.0 |
| 6 |  BUF | Tyler Bass | 4 | 4 | 2 | 47 | 3 | 17.0 |
| 7 |  LA | Brandon McManus | 0 | 0 | 0 | 0 | 5 | 5.0 |
| 8 |  NYJ | Jason Sanders | 4 | 4 | 0 | 39 | 3 | 15.0 |
| Average | 1.5 | 1.8 | 0.4 | 22.9 | 3.3 | 8.1 | ||
| Median | 1.0 | 1.0 | 0.0 | 28.0 | 3.0 | 7.0 | ||
| High | 4 | 4 | 2 | 47 | 6 | 17.0 | ||
| Low | 0 | 0 | 0 | 0 | 1 | 2.0 | ||
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 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 Jason Myers 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 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.
Raiders 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 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 | 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 | |
| Raiders K1 avg | 1.5 | 1.8 | 0.4 | 22.9 | 3.3 | 8.1 | |
| Difference | -0.4 | -0.4 | -0.5 | -17.4 | +1.3 | -0.8 | |
| Projected as K1 | 1.8 | 2.0 | 0.8 | 38.6 | 1.9 | 8.7 | |
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.
Start / Sit · Jason MyersGood confidence · 8.7 proj pts5/10 start
- Jason Myers averages 8.9 PPR points over 8 games (recent-weighted 8.4) and has played as the team's K1.
- The Raiders have allowed 8.1 points to K1s over 8 games (-6% vs league). The model applies 73% of that gap because the sample is small, giving a -4% adjustment.
- Last season's average (11.8) is blended in at 20% weight because this season's sample is small.
- Projection: 8.7 points.
- For reference, a typical weekly starter-level K scores about 9.6 and a top-tier one about 14.8.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreJason Myers vs the Raiders
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 Raiders.
I predict about 8.7 points for Jason Myers if playing as a K1. Jason Myers has averaged 8.9 over 8 games, and the Raiders have given up 8.1 to K1s (-6% vs the league average of 8.6).
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, Wk 7 8.0, Wk 8 3.0. Average 8.9; weighted toward recent games it is 9.1.
2. The defense. Over 8 games, the Raiders allowed 8.1 points to their opponent's K1. The league average for that slot is 8.6, so that is -6%.
3. Trusting small samples less. With 8 defensive games, only 73% of the gap is applied, capped at +/-30%. That gives a -4% adjustment (x0.96).
4. Result. 9.1 x 0.96 = 8.7. 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 Jason Myers is to reach it as a K1.
Why this percentage?
The projection (8.7) 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 6.0 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 9.
With only 8 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 1.5 field goals made, 1.8 field goal attempts and 3.3 extra points against the Raiders across 8 games.
- The Raiders allow 8.1 PPR points to K1s, -6% versus the league average of 8.6 (ranked 22 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 6, Tyler Bass (17.0 pts, 4 FG) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.1 vs 6.9; FG 1.5 vs 1.1. The table above keeps the raw averages.
- Outlier: Week 8, Jason Sanders (15.0 pts, 4 FG) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.1 vs 7.1; FG 1.5 vs 1.1. The table above keeps the raw averages.
- 4 of 8 games reached 8+ PPR points. Scores range from 2.0 to 17.0 (median 7.0).
Insights are generated by rules from the table above and recalculate every week.