Ks vs Las Vegas Raiders
As of Week 8 · through 2 games · PPR
| 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 |
| Average | 1.0 | 2.0 | 0.5 | 20.5 | 1.5 | 5.0 | ||
| Median | 1.0 | 2.0 | 0.5 | 20.5 | 1.5 | 5.0 | ||
| High | 2 | 3 | 1 | 41 | 2 | 8.0 | ||
| Low | 0 | 1 | 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.
Prediction for Jason Sanders
Nobody knows which slot Jason Sanders 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 7.9 points for Jason Sanders if playing as a K1. Jason Sanders has averaged 10.0 over 2 games, and the Raiders have given up 5.0 to K1s (-41% vs the league average of 8.5).
How this projection is built
1. The player. Jason Sanders scored: Wk 1 15.0, Wk 2 5.0. Average 10.0; weighted toward recent games it is 9.4.
2. The defense. Over 2 games, the Raiders allowed 5.0 points to their opponent's K1. The league average for that slot is 8.5, so that is -41%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a -16% adjustment (x0.84).
4. Result. 9.4 x 0.84 = 7.9. 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 Sanders is to reach it as a K1.
Why this percentage?
The projection (7.9) 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 4.7 points, leaning on Jason Sanders'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 8.
With only 2 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%.
Insights
- K1s have averaged 1.0 field goals made, 2.0 field goal attempts and 1.5 extra points against the Raiders across 2 games.
- The Raiders allow 5.0 PPR points to K1s, -41% versus the league average of 8.5 (ranked 28 of 32, where 1 is most generous). That is a tough matchup.
- 1 of 2 games reached 8+ PPR points. Scores range from 2.0 to 8.0 (median 5.0).
- Small sample: only 2 games so far. Treat these numbers as directional, not settled.
Insights are generated by rules from the table above and recalculate every week.
What do these columns mean?
- Wk
- Week of the season
- Tgt
- Targets (passes thrown to the player)
- Rec
- Receptions
- ReYd
- Receiving yards
- ReTD
- Receiving touchdowns
- Car
- Carries (rushing attempts)
- RuYd
- Rushing yards
- RuTD
- Rushing touchdowns
- Cmp / Att
- Completions and pass attempts
- PaYd / PaTD
- Passing yards and touchdowns
- INT
- Interceptions thrown
- FGM / FGA
- Field goals made and attempted
- FPts
- Fantasy points in your scoring format
- Sck / TO
- Defense: sacks and takeaways
- PA
- Points allowed by a defense
- G
- Games in the sample
- vs Lg
- Percent above or below the league average
- Jason Sanders averages 10.0 PPR points over 2 games (recent-weighted 9.4) and has played as the team's K1.
- The Raiders have allowed 5.0 points to K1s over 2 games (-41% vs league). The model applies 40% of that gap because the sample is small, giving a -16% adjustment.
- Projection: 7.9 points.
- For reference, a typical weekly starter-level K scores about 9.5 and a top-tier one about 14.0.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Jason Sanders's stats vs the Raiders
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 Sanders 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 Sanders 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 Sanders's own average: green means the defense gives that slot more than Jason Sanders usually produces.
Projected is Jason Sanders'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 | TEN | 3 | 4 | 2 | 52 | 2 | 15.0 |
| 2 | GB | 1 | 1 | 0 | 32 | 2 | 5.0 |
| Sanders avg | 2.0 | 2.5 | 1.0 | 42.0 | 2.0 | 10.0 | |
| Raiders K1 avg | 1.0 | 2.0 | 0.5 | 20.5 | 1.5 | 5.0 | |
| Difference | -1.0 | -0.5 | -0.5 | -21.5 | -0.5 | -5.0 | |
| Projected as K1 | 1.7 | 2.1 | 0.8 | 35.1 | 1.7 | 7.9 | |
Difference is what the defense allows minus what Sanders averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.