SportsProof
Jacory Croskey-Merritt

Jacory Croskey-Merritt

RBWASWashington CommandersIR

Other RBs on WAS
Heads up
  • Teammate Terry McLaurin (a top target) is on IR, so Croskey-Merritt may see more targets.

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.

Games
5
2026 season
PPR PPG
9.0
RB39 overall
Total pts
44.9

This is how RBs have played against the Giants in the 2026 season.

RB1 = the highest-scoring RB against Giants in each game, not a fixed depth-chart spot.

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1DALDALJavonte Williams124115531124.2
2LALAKyren Williams128502212115.7
3TENTENTony Pollard177404422013.6
4ARIARITyler Allgeier8421227012.9
Average12.360.50.53.33.318.00.516.6
Median12.058.00.53.03.017.00.514.6
High178515531124.2
Low8410227012.9

Averages are raw, outliers are never removed.

RB1 avg pts
16.6
PPR per game
Rank
16
of 32 (1 = most allowed)
vs League
+4%
lg avg 16.0
How Jacory Croskey-Merritt 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 Jacory Croskey-Merritt 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 RB they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Jacory Croskey-Merritt 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 Jacory Croskey-Merritt's own average: green means the defense gives that slot more than Jacory Croskey-Merritt usually produces.

Projected is Jacory Croskey-Merritt'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.

Compare against
WkOppCarRuYdRuTDTgtRecReYdReTDFPts
1PHI1663111-7012.6
2DAL1243011505.8
3SEA1936011705.3
4IND9150423507.0
5NYG11821000014.2
Croskey-Merritt avg13.447.80.41.41.08.00.09.0
Giants RB1 avg12.360.50.53.33.318.00.516.6
Difference-1.2+12.7+0.1+1.9+2.3+10.0+0.5+7.6

Difference is what the defense allows minus what Croskey-Merritt 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 scoreJacory Croskey-Merritt vs the Giants

Prediction for Jacory Croskey-Merritt

Nobody knows which slot Jacory Croskey-Merritt will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Giants.

If Jacory Croskey-Merritt plays as
7.7
projected PPR points

I predict about 7.7 points for Jacory Croskey-Merritt if playing as a RB1. Jacory Croskey-Merritt has averaged 7.7 over 4 games, and the Giants have given up 16.6 to RB1s (+4% vs the league average of 16.0).

How this projection is built

1. The player. Jacory Croskey-Merritt scored: Wk 1 12.6, Wk 2 5.8, Wk 3 5.3, Wk 4 7.0. Average 7.7; weighted toward recent games it is 7.6.

2. The defense. Over 4 games, the Giants allowed 16.6 points to their opponent's RB1. The league average for that slot is 16.0, so that is +4%.

3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a +2% adjustment (x1.02).

4. Result. 7.6 x 1.02 = 7.7. 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 Jacory Croskey-Merritt is to reach it as a RB1.

41%
chance of 8+ PPR points
Why this percentage?

The projection (7.7) 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 3.8 points, leaning on Jacory Croskey-Merritt's own game-to-game swings once there are several games (and on typical RB 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 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
  • RB1s have averaged 12.3 carries, 60.5 rushing yards and 3.3 receptions against the Giants across 4 games.
  • The Giants allow 16.6 PPR points to RB1s, +4% versus the league average of 16.0 (ranked 16 of 32, where 1 is most generous). That is a near-average matchup.
  • Outlier: Week 1, Javonte Williams (24.2 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 16.6 vs 14.1. The table above keeps the raw averages.
  • 4 of 4 games reached 10+ PPR points. Scores range from 12.9 to 24.2 (median 14.6).
  • Every RB1 in the sample cleared 40 rushing yards.
  • RB1s scored a touchdown in 3 of 4 games (75%).

Insights are generated by rules from the table above and recalculate every week.