Dominic Zvada
K
New York Giants
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 |
| 5 |  MIN | Will Reichard | 3 | 3 | 3 | 55 | 2 | 16.0 |
| Average | 1.8 | 2.0 | 1.0 | 39.4 | 3.2 | 10.0 | ||
| Median | 1.0 | 2.0 | 1.0 | 41.0 | 2.0 | 9.0 | ||
| High | 3 | 3 | 3 | 55 | 6 | 16.0 | ||
| 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 Dominic Zvada 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 Dominic Zvada 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 Dominic Zvada 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 Dominic Zvada's own average: green means the defense gives that slot more than Dominic Zvada usually produces.
Projected is Dominic Zvada'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 | DAL | 0 | 0 | 0 | 0 | 4 | 4.0 |
| 2 | LA | 2 | 2 | 1 | 52 | 0 | 8.0 |
| 3 | TEN | 4 | 4 | 0 | 39 | 0 | 12.0 |
| 4 | ARI | 3 | 3 | 2 | 52 | 1 | 14.0 |
| 5 | WAS | 2 | 5 | 2 | 56 | 3 | 13.0 |
| 6 | NO | 2 | 2 | 1 | 41 | 1 | 8.0 |
| 7 | HOU | 0 | 2 | 0 | 0 | 3 | 3.0 |
| Zvada avg | 1.9 | 2.6 | 0.9 | 34.3 | 1.7 | 8.9 | |
| Saints K1 avg | 1.8 | 2.0 | 1.0 | 39.4 | 3.2 | 10.0 | |
| Difference | -0.1 | -0.6 | +0.1 | +5.1 | +1.5 | +1.1 | |
Difference is what the defense allows minus what Zvada 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 scoreDominic Zvada vs the Saints
Prediction for Dominic Zvada
Nobody knows which slot Dominic Zvada 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 12.2 points for Dominic Zvada if playing as a K1. Dominic Zvada has averaged 10.2 over 5 games, and the Saints have given up 10.0 to K1s (+14% vs the league average of 8.7).
How this projection is built
1. The player. Dominic Zvada scored: Wk 1 4.0, Wk 2 8.0, Wk 3 12.0, Wk 4 14.0, Wk 5 13.0. Average 10.2; weighted toward recent games it is 11.2.
2. The defense. Over 5 games, the Saints allowed 10.0 points to their opponent's K1. The league average for that slot is 8.7, so that is +14%.
3. Trusting small samples less. With 5 defensive games, only 63% of the gap is applied, capped at +/-30%. That gives a +9% adjustment (x1.09).
4. Result. 11.2 x 1.09 = 12.2. 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 Dominic Zvada is to reach it as a K1.
Why this percentage?
The projection (12.2) 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 4.9 points, leaning on Dominic Zvada'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 12.
With only 5 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 1.8 field goals made, 2.0 field goal attempts and 3.2 extra points against the Saints across 5 games.
- The Saints allow 10.0 PPR points to K1s, +14% versus the league average of 8.7 (ranked 10 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 5, Will Reichard (16.0 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 10.0 vs 8.5. The table above keeps the raw averages.
- 3 of 5 games reached 8+ PPR points. Scores range from 6.0 to 16.0 (median 9.0).
Insights are generated by rules from the table above and recalculate every week.