SportsProof
Austin Ekeler

Austin Ekeler

RBWASWashington Commanders

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

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
4
2026 season
PPR PPG
3.9
RB83 overall
Total pts
15.7

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

RB2 = the second-highest-scoring RB against Giants in each game, not a fixed depth-chart spot.

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1DALDALEmari Demercado27000000.7
2LALABlake Corum127901113010.2
3TENTENTyjae Spears35000000.5
4ARIARIJeremiyah Love1463011-806.5
Average7.838.50.00.50.51.30.04.5
Median7.535.00.00.50.50.00.03.6
High147901113010.2
Low25000-800.5

Averages are raw, outliers are never removed.

RB2 avg pts
4.5
PPR per game
Rank
14
of 32 (1 = most allowed)
vs League
-4%
lg avg 4.7
How Austin Ekeler 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 Austin Ekeler 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 Austin Ekeler 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 Austin Ekeler's own average: green means the defense gives that slot more than Austin Ekeler usually produces.

Projected is Austin Ekeler'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
4IND4290211105.0
5NYG3-10111502.4
6SF13022402.7
8PHI836000005.6
Ekeler avg4.016.80.01.31.07.50.03.9
Giants RB2 avg7.838.50.00.50.51.30.04.5
Difference+3.8+21.8+0.0-0.8-0.5-6.3+0.0+0.5

Difference is what the defense allows minus what Ekeler 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 scoreAustin Ekeler vs the Giants

Prediction for Austin Ekeler

Nobody knows which slot Austin Ekeler 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 Austin Ekeler plays as
4.9
projected PPR points

I predict about 4.9 points for Austin Ekeler if playing as a RB2. Austin Ekeler has averaged 5.0 over 1 game, and the Giants have given up 4.5 to RB2s (-4% vs the league average of 4.7).

How this projection is built

1. The player. Austin Ekeler scored: Wk 4 5.0. Average 5.0; weighted toward recent games it is 5.0.

2. The defense. Over 4 games, the Giants allowed 4.5 points to their opponent's RB2. The league average for that slot is 4.7, 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 (x0.98).

4. Result. 5.0 x 0.98 = 4.9. 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 Austin Ekeler is to reach it as a RB2.

41%
chance of 5+ PPR points
Why this percentage?

The projection (4.9) 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 2.9 points, leaning on Austin Ekeler'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 5.

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
  • RB2s have averaged 7.8 carries, 38.5 rushing yards and 0.5 receptions against the Giants across 4 games.
  • The Giants allow 4.5 PPR points to RB2s, -4% versus the league average of 4.7 (ranked 14 of 32, where 1 is most generous). That is a near-average matchup.
  • Outlier: Week 2, Blake Corum (10.2 pts, 79 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 4.5 vs 2.6; rush yds 38.5 vs 25.0. The table above keeps the raw averages.
  • Outlier: Week 1, Emari Demercado (2 car, 7 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: car 7.8 vs 9.7; rush yds 38.5 vs 49.0. The table above keeps the raw averages.
  • 1 of 4 games reached 10+ PPR points. Scores range from 0.5 to 10.2 (median 3.6).
  • RB2s scored a touchdown in 0 of 4 games (0%).

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