Will Reichard
K
Minnesota Vikings
This is how Ks have played against the Saints in the 2026 season.
| Wk | Team | Player | FGM | FGA | 40+ | Lng | XP | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  DET | Jake Bates | 1 | 1 | 0 | 23 | 4 | 7.0 |
| 2 |  BAL | Tyler Loop | 1 | 2 | 1 | 49 | 2 | 6.0 |
| 3 |  LV | Matt Gay | 3 | 3 | 1 | 41 | 2 | 12.0 |
| 4 |  ATL | Nick Folk | 1 | 1 | 0 | 29 | 6 | 9.0 |
| Average | 1.5 | 1.8 | 0.5 | 35.5 | 3.5 | 8.5 | ||
| Median | 1.0 | 1.5 | 0.5 | 35.0 | 3.0 | 8.0 | ||
| High | 3 | 3 | 1 | 49 | 6 | 12.0 | ||
| Low | 1 | 1 | 0 | 23 | 2 | 6.0 | ||
Averages are raw, outliers are never removed. Kicker scoring: FG 3/4/5 by distance, XP 1, missed FG under 40 yds -1.
How Will Reichard should do vs the SaintsSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Saints, plus a projection for this game.
What is this table?
Rows at the top are every game Will Reichard has played this season, using the same stat columns as the table above.
Compare against picks which group of Saints 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 Will Reichard will land in this week, so this is your call, not a guess.
Saints avg is the average line of that group. Difference is that minus Will Reichard's own average: green means the defense gives that slot more than Will Reichard usually produces.
Projected is Will Reichard's recent-weighted average scaled by how generous the Saints 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 | GB | 1 | 1 | 0 | 38 | 4 | 7.0 |
| 2 | CHI | 3 | 3 | 1 | 49 | 0 | 10.0 |
| 3 | TB | 3 | 3 | 3 | 56 | 2 | 16.0 |
| 4 | MIA | 5 | 5 | 3 | 50 | 0 | 19.0 |
| 5 | NO | 3 | 3 | 3 | 55 | 2 | 16.0 |
| 7 | IND | 3 | 4 | 2 | 52 | 1 | 13.0 |
| 8 | DET | 0 | 1 | 0 | 0 | 1 | 1.0 |
| Reichard avg | 2.6 | 2.9 | 1.7 | 42.9 | 1.4 | 11.7 | |
| Saints K1 avg | 1.5 | 1.8 | 0.5 | 35.5 | 3.5 | 8.5 | |
| Difference | -1.1 | -1.1 | -1.2 | -7.4 | +2.1 | -3.2 | |
Difference is what the defense allows minus what Reichard 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 scoreWill Reichard vs the Saints
Prediction for Will Reichard
Nobody knows which slot Will Reichard will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Saints.
I predict about 12.6 points for Will Reichard if playing as a K1. Will Reichard has averaged 13.0 over 4 games, and the Saints have given up 8.5 to K1s (-2% vs the league average of 8.7).
How this projection is built
1. The player. Will Reichard scored: Wk 1 7.0, Wk 2 10.0, Wk 3 16.0, Wk 4 19.0. Average 13.0; weighted toward recent games it is 12.7.
2. The defense. Over 4 games, the Saints allowed 8.5 points to their opponent's K1. The league average for that slot is 8.7, so that is -2%.
3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a -1% adjustment (x0.99).
4. Result. 12.7 x 0.99 = 12.6. 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 Will Reichard is to reach it as a K1.
Why this percentage?
The projection (12.6) 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 6.2 points, leaning on Will Reichard'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 13.
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 1.5 field goals made, 1.8 field goal attempts and 3.5 extra points against the Saints across 4 games.
- The Saints allow 8.5 PPR points to K1s, -2% versus the league average of 8.7 (ranked 17 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 3, Matt Gay (12.0 pts, 3 FG) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.5 vs 7.3; FG 1.5 vs 1.0. The table above keeps the raw averages.
- 2 of 4 games reached 8+ PPR points. Scores range from 6.0 to 12.0 (median 8.0).
Insights are generated by rules from the table above and recalculate every week.