Cam Little
K
Jacksonville Jaguars
This is how Ks have played against the Steelers in the 2026 season.
| Wk | Team | Player | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  ATL | Nick Folk | 2 | 4 | 2 | 51 | 1 | 10.0 |
| 2 |  NE | Andy Borregales | 2 | 3 | 1 | 45 | 2 | 9.0 |
| 3 |  CIN | Evan McPherson | 2 | 2 | 1 | 50 | 3 | 11.0 |
| 4 |  CLE | Andre Szmyt | 2 | 2 | 2 | 56 | 3 | 12.0 |
| 5 |  IND | Spencer Shrader | 5 | 5 | 3 | 57 | 1 | 21.0 |
| 6 |  TB | Chase McLaughlin | 4 | 4 | 3 | 53 | 1 | 17.0 |
| 7 |  NO | Daniel Carlson | 1 | 2 | 0 | 38 | 1 | 4.0 |
| 8 | CLE | Andre Szmyt | 2 | 2 | 1 | 49 | 0 | 7.0 |
| Average | 2.5 | 3.0 | 1.6 | 49.9 | 1.5 | 11.4 | ||
| Median | 2.0 | 2.5 | 1.5 | 50.5 | 1.0 | 10.5 | ||
| High | 5 | 5 | 3 | 57 | 3 | 21.0 | ||
| Low | 1 | 2 | 0 | 38 | 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 Cam Little should do vs the SteelersSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Steelers, plus a projection for this game.
What is this table?
Rows at the top are every game Cam Little has played this season, using the same stat columns as the table above.
Compare against picks which group of Steelers 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 Cam Little will land in this week, so this is your call, not a guess.
Steelers avg is the average line of that group. Difference is that minus Cam Little's own average: green means the defense gives that slot more than Cam Little usually produces.
Projected is Cam Little's recent-weighted average scaled by how generous the Steelers 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 | CLE | 2 | 2 | 2 | 47 | 4 | 12.0 |
| 2 | DEN | 2 | 3 | 1 | 44 | 1 | 8.0 |
| 3 | NE | 0 | 1 | 0 | 0 | 5 | 5.0 |
| 4 | CIN | 3 | 3 | 2 | 55 | 1 | 14.0 |
| 5 | PHI | 2 | 2 | 1 | 57 | 1 | 9.0 |
| 6 | HOU | 1 | 1 | 1 | 60 | 4 | 9.0 |
| 8 | IND | 0 | 0 | 0 | 0 | 6 | 6.0 |
| Little avg | 1.4 | 1.7 | 1.0 | 37.6 | 3.1 | 9.0 | |
| Steelers K1 avg | 2.5 | 3.0 | 1.6 | 49.9 | 1.5 | 11.4 | |
| Difference | +1.1 | +1.3 | +0.6 | +12.3 | -1.6 | +2.4 | |
| Projected as K1 | 1.8 | 2.1 | 1.2 | 46.3 | 3.9 | 10.9 | |
Difference is what the defense allows minus what Little 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 · Cam LittleGood confidence · 10.9 proj pts7/10 start
- Cam Little averages 9.0 PPR points over 7 games (recent-weighted 8.6) and has played as the team's K1.
- The Steelers have allowed 11.4 points to K1s over 8 games (+32% vs league). The model applies 73% of that gap because the sample is small, giving a +23% adjustment.
- Last season's average (9.6) is blended in at 22% weight because this season's sample is small.
- Projection: 10.9 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 scoreCam Little vs the Steelers
Prediction for Cam Little
Nobody knows which slot Cam Little will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Steelers.
I predict about 10.9 points for Cam Little if playing as a K1. Cam Little has averaged 9.0 over 7 games, and the Steelers have given up 11.4 to K1s (+32% vs the league average of 8.6).
How this projection is built
1. The player. Cam Little scored: Wk 1 12.0, Wk 2 8.0, Wk 3 5.0, Wk 4 14.0, Wk 5 9.0, Wk 6 9.0, Wk 8 6.0. Average 9.0; weighted toward recent games it is 8.8.
2. The defense. Over 8 games, the Steelers allowed 11.4 points to their opponent's K1. The league average for that slot is 8.6, so that is +32%.
3. Trusting small samples less. With 8 defensive games, only 73% of the gap is applied, capped at +/-30%. That gives a +23% adjustment (x1.23).
4. Result. 8.8 x 1.23 = 10.9. 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 Cam Little is to reach it as a K1.
Why this percentage?
The projection (10.9) 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 4.4 points, leaning on Cam Little'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 7 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 2.5 field goals made, 3.0 field goal attempts and 1.5 extra points against the Steelers across 8 games.
- The Steelers allow 11.4 PPR points to K1s, +32% versus the league average of 8.6 (ranked 2 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 5, Spencer Shrader (21.0 pts, 5 FG) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.4 vs 10.0; FG 2.5 vs 2.1. The table above keeps the raw averages.
- Outlier: Week 6, Chase McLaughlin (17.0 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.4 vs 10.6. The table above keeps the raw averages.
- 6 of 8 games reached 8+ PPR points. Scores range from 4.0 to 21.0 (median 10.5).
Insights are generated by rules from the table above and recalculate every week.