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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 Colts in the 2026 season.

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

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1BALBALDerrick Henry2414431119035.3
2KCKCKenneth Walker III24117010661023.8
3HOUHOUWoody Marks515111609.1
Average17.792.01.34.02.728.70.022.7
Median24.0117.01.01.01.019.00.023.8
High24144310661035.3
Low515011609.1

Averages are raw, outliers are never removed.

RB1 avg pts
22.7
PPR per game
Rank
3
of 32 (1 = most allowed)
vs League
+48%
lg avg 15.4
How Jacory Croskey-Merritt should do vs the ColtsSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Colts, 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 Colts 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.

Colts 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 Colts 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
Colts RB1 avg17.792.01.34.02.728.70.022.7
Difference+4.3+44.2+0.9+2.6+1.7+20.7+0.0+13.8

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 Colts

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 Colts.

If Jacory Croskey-Merritt plays as
9.6
projected PPR points

I predict about 9.6 points for Jacory Croskey-Merritt if playing as a RB1. Jacory Croskey-Merritt has averaged 7.9 over 3 games, and the Colts have given up 22.7 to RB1s (+48% vs the league average of 15.4).

How this projection is built

1. The player. Jacory Croskey-Merritt scored: Wk 1 12.6, Wk 2 5.8, Wk 3 5.3. Average 7.9; weighted toward recent games it is 7.7.

2. The defense. Over 3 games, the Colts allowed 22.7 points to their opponent's RB1. The league average for that slot is 15.4, so that is +48%.

3. Trusting small samples less. With 3 defensive games, only 50% of the gap is applied, capped at +/-30%. That gives a +24% adjustment (x1.24).

4. Result. 7.7 x 1.24 = 9.6. 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 Jacory Croskey-Merritt is to reach it as a RB1.

40%
chance of 10+ PPR points
Why this percentage?

The projection (9.6) 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 4.9 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 10.

With only 3 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 17.7 carries, 92.0 rushing yards and 2.7 receptions against the Colts across 3 games.
  • The Colts allow 22.7 PPR points to RB1s, +48% versus the league average of 15.4 (ranked 3 of 32, where 1 is most generous). That is a favorable matchup.
  • Outlier: Week 1, Derrick Henry (35.3 pts, 24 car, 144 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 22.7 vs 16.4; car 17.7 vs 14.5; rush yds 92.0 vs 66.0. The table above keeps the raw averages.
  • Outlier: Week 3, Woody Marks (9.1 pts, 5 car, 15 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: pts 22.7 vs 29.5; car 17.7 vs 24.0; rush yds 92.0 vs 130.5. The table above keeps the raw averages.
  • 2 of 3 games reached 10+ PPR points. Scores range from 9.1 to 35.3 (median 23.8).
  • RB1s scored a touchdown in 2 of 3 games (67%).

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