Athan Kaliakmanis
QB
Washington Commanders
- Top target Terry McLaurin is on IR, which can lower the passing game.
A hurt top target or lead back nudges the projection up a little, since their work tends to shift to teammates. QB and offensive-line flags are shown for context but do not change the number.
This is how QBs have played against the Giants in the 2026 season.
| Wk | Team | Player | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  DAL | Dak Prescott | 22 | 34 | 175 | 2 | 1 | 2 | 14 | 0 | 14.4 |
| 2 |  LA | Matthew Stafford | 22 | 31 | 327 | 4 | 1 | 4 | -1 | 0 | 27.0 |
| 3 |  TEN | Cam Ward | 23 | 36 | 181 | 1 | 1 | 1 | 2 | 0 | 9.4 |
| 4 |  ARI | Jacoby Brissett | 21 | 35 | 166 | 2 | 3 | 4 | 18 | 0 | 10.4 |
| Average | 22.0 | 34.0 | 212.3 | 2.3 | 1.5 | 2.8 | 8.3 | 0.0 | 15.3 | ||
| Median | 22.0 | 34.5 | 178.0 | 2.0 | 1.0 | 3.0 | 8.0 | 0.0 | 12.4 | ||
| High | 23 | 36 | 327 | 4 | 3 | 4 | 18 | 0 | 27.0 | ||
| Low | 21 | 31 | 166 | 1 | 1 | 1 | -1 | 0 | 9.4 | ||
Averages are raw, outliers are never removed.
How Athan Kaliakmanis should do vs the GiantsSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Giants, plus a projection for this game.
What is this table?
Rows at the top are every game Athan Kaliakmanis has played this season, using the same stat columns as the table above.
Compare against picks which group of Giants opponents to line them up with: the best QB they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Athan Kaliakmanis will land in this week, so this is your call, not a guess.
Giants avg is the average line of that group. Difference is that minus Athan Kaliakmanis's own average: green means the defense gives that slot more than Athan Kaliakmanis usually produces.
Projected is Athan Kaliakmanis's recent-weighted average scaled by how generous the Giants 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 | Cmp | Att | PaYd | PaTD | INT | Car | RuYd | RuTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 4 | IND | 15 | 33 | 186 | 1 | 1 | 3 | 16 | 0 | 11.0 |
| Kaliakmanis avg | 15.0 | 33.0 | 186.0 | 1.0 | 1.0 | 3.0 | 16.0 | 0.0 | 11.0 | |
| Giants QB1 avg | 22.0 | 34.0 | 212.3 | 2.3 | 1.5 | 2.8 | 8.3 | 0.0 | 15.3 | |
| Difference | +7.0 | +1.0 | +26.3 | +1.3 | +0.5 | -0.3 | -7.8 | +0.0 | +4.3 | |
Difference is what the defense allows minus what Kaliakmanis 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 scoreAthan Kaliakmanis vs the Giants
Prediction for Athan Kaliakmanis
Nobody knows which slot Athan Kaliakmanis will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Giants.
I predict about 10.5 points for Athan Kaliakmanis if playing as a QB1. Athan Kaliakmanis has averaged 11.0 over 1 game, and the Giants have given up 15.3 to QB1s (-8% vs the league average of 16.6).
How this projection is built
1. The player. Athan Kaliakmanis scored: Wk 4 11.0. Average 11.0; weighted toward recent games it is 11.0.
2. The defense. Over 4 games, the Giants allowed 15.3 points to their opponent's QB1. The league average for that slot is 16.6, so that is -8%.
3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a -5% adjustment (x0.95).
4. Result. 11.0 x 0.95 = 10.5. 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 Athan Kaliakmanis is to reach it as a QB1.
Why this percentage?
The projection (10.5) 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 6.3 points, leaning on Athan Kaliakmanis's own game-to-game swings once there are several games (and on typical QB 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 1 game 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
- QB1s have averaged 212.3 passing yards, 2.3 passing TDs and 8.3 rushing yards against the Giants across 4 games.
- The Giants allow 15.3 PPR points to QB1s, -8% versus the league average of 16.6 (ranked 20 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 2, Matthew Stafford (27.0 pts, 327 pass yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 15.3 vs 11.4; pass yds 212.3 vs 174.0. The table above keeps the raw averages.
- 1 of 4 games reached 15+ PPR points. Scores range from 9.4 to 27.0 (median 12.4).
- Every QB1 in the sample cleared 150 passing yards.
- QB1s scored a touchdown in 4 of 4 games (100%).
Insights are generated by rules from the table above and recalculate every week.