SportsProof
James Cook

James Cook

RBBUFBuffalo Bills▲ Hot

Other RBs on BUF
Heads up
  • Teammate Dalton Kincaid (a top target) is questionable.
  • Teammate DJ Moore (a top target) is questionable.

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
7
2026 season
PPR PPG
18.8
RB8 overall
Total pts
131.7

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

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

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1SFSFChristian McCaffrey106808520013.8
2NYGNYGCam Skattebo12360441909.5
3DENDENRJ Harvey2607641010.7
4PHIPHITank Bigsby1455010005.5
Average9.541.30.05.03.820.00.09.9
Median11.045.50.05.54.519.50.010.1
High146808641013.8
Low26010005.5

Averages are raw, outliers are never removed.

RB1 avg pts
9.9
PPR per game
Rank
32
of 32 (1 = most allowed)
vs League
-38%
lg avg 16.0
How James Cook should do vs the RamsSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Rams, plus a projection for this game.

What is this table?

Rows at the top are every game James Cook has played this season, using the same stat columns as the table above.

Compare against picks which group of Rams 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 James Cook will land in this week, so this is your call, not a guess.

Rams avg is the average line of that group. Difference is that minus James Cook's own average: green means the defense gives that slot more than James Cook usually produces.

Projected is James Cook's recent-weighted average scaled by how generous the Rams 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
1HOU13570431209.9
2DET211351314020.9
3LAC241541100019.4
4NE12751228016.3
5LA251112117022.8
6LV229513358024.3
8BAL218013221018.1
Cook avg19.7101.01.02.41.715.70.018.8
Rams RB1 avg9.541.30.05.03.820.00.09.9
Difference-10.2-59.8-1.0+2.6+2.0+4.3+0.0-8.9

Difference is what the defense allows minus what Cook 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 scoreJames Cook vs the Rams

Prediction for James Cook

Nobody knows which slot James Cook will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Rams.

If James Cook plays as
13.5
projected PPR points

I predict about 13.5 points for James Cook if playing as a RB1. James Cook has averaged 16.6 over 4 games, and the Rams have given up 9.9 to RB1s (-38% vs the league average of 16.0).

How this projection is built

1. The player. James Cook scored: Wk 1 9.9, Wk 2 20.9, Wk 3 19.4, Wk 4 16.3. Average 16.6; weighted toward recent games it is 17.3.

2. The defense. Over 4 games, the Rams allowed 9.9 points to their opponent's RB1. The league average for that slot is 16.0, so that is -38%.

3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a -22% adjustment (x0.78).

4. Result. 17.3 x 0.78 = 13.5. 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 James Cook is to reach it as a RB1.

47%
chance of 13+ PPR points
Why this percentage?

The projection (13.5) 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 5.9 points, leaning on James Cook'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 13.

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 9.5 carries, 41.3 rushing yards and 3.8 receptions against the Rams across 4 games.
  • The Rams allow 9.9 PPR points to RB1s, -38% versus the league average of 16.0 (ranked 32 of 32, where 1 is most generous). That is a tough matchup.
  • Outlier: Week 3, RJ Harvey (2 car, 6 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: car 9.5 vs 12.0; rush yds 41.3 vs 53.0. The table above keeps the raw averages.
  • Outlier: Week 1, Christian McCaffrey (68 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: rush yds 41.3 vs 32.3. The table above keeps the raw averages.
  • 2 of 4 games reached 10+ PPR points. Scores range from 5.5 to 13.8 (median 10.1).
  • RB1s scored a touchdown in 0 of 4 games (0%).

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