RBs vs New York Giants
As of Week 10 · through 1 game · PPR
Showing every RB who had a role in each game.
| Wk | Team | Player | Slot | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  DAL | Javonte Williams | RB1 | 12 | 41 | 1 | 5 | 5 | 31 | 1 | 24.2 |
| Emari Demercado | RB2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 | ||
| Hunter Luepke | RB3 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 | ||
| Average | 5.0 | 18.3 | 0.3 | 1.7 | 1.7 | 10.3 | 0.3 | 8.5 | |||
| Median | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | |||
| High | 12 | 41 | 1 | 5 | 5 | 31 | 1 | 24.2 | |||
| Low | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 | |||
Averages are raw, outliers are never removed.
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.
| Wk | Opp | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | PHI | 16 | 63 | 1 | 1 | 1 | -7 | 0 | 12.6 |
| 2 | DAL | 12 | 43 | 0 | 1 | 1 | 5 | 0 | 5.8 |
| Croskey-Merritt avg | 14.0 | 53.0 | 0.5 | 1.0 | 1.0 | -1.0 | 0.0 | 9.2 | |
| Giants All avg | 5.0 | 18.3 | 0.3 | 1.7 | 1.7 | 10.3 | 0.3 | 8.5 | |
| Difference | -9.0 | -34.7 | -0.2 | +0.7 | +0.7 | +11.3 | +0.3 | -0.7 | |
| Projected | 11.0 | 41.7 | 0.4 | 0.8 | 0.8 | -0.8 | 0.0 | 6.7 | |
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.
Start / Sit · Jacory Croskey-MerrittLow confidence · 6.7 proj ptsSit
Jacory Croskey-Merritt usually plays as the team's RB2, so the verdict uses the RB2 numbers, not the slot selected above.
- Jacory Croskey-Merritt averages 9.2 PPR points over 2 games (recent-weighted 8.8) and has played as the team's RB2.
- The Giants have allowed 0.7 points to RB2s over 1 game (-85% vs league). The model applies 25% of that gap because the sample is small, giving a -21% adjustment.
- Last season's average (8.3) is blended in at 50% weight because this season's sample is small.
- Projection: 6.7 points.
- For reference, a typical weekly starter-level RB scores about 12.2 and a top-tier one about 20.0.
- Confidence is low: too few games for either the player or the defense. Use this as a rough lean, not a lock.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
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.
I predict about 6.7 points for Jacory Croskey-Merritt if playing as a RB2. Jacory Croskey-Merritt has averaged 9.2 over 2 games, and the Giants have given up 0.7 to RB2s (-85% vs the league average of 4.8).
How this projection is built
1. The player. Jacory Croskey-Merritt scored: Wk 1 12.6, Wk 2 5.8. Average 9.2; weighted toward recent games it is 8.5.
2. The defense. Over 1 game, the Giants allowed 0.7 points to their opponent's RB2. The league average for that slot is 4.8, so that is -85%.
3. Trusting small samples less. With 1 defensive game, only 25% of the gap is applied, capped at +/-30%. That gives a -21% adjustment (x0.79).
4. Result. 8.5 x 0.79 = 6.7. 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 RB2.
Why this percentage?
The projection (6.7) 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 4.0 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 7.
With only 2 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
- all RBs have averaged 5.0 carries, 18.3 rushing yards and 1.7 receptions per player-game against the Giants across 1 game.
- The Giants allow 25.6 PPR points to the position per game, +22% versus the league average of 21.0 (ranked 8 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 1, Javonte Williams (24.2 pts, 12 car) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.5 vs 0.7; car 5.0 vs 1.5. The table above keeps the raw averages.
- Outlier: Week 1, Emari Demercado (0.7 pts) sits far below the other games and drags the averages down. Average with it vs without it: pts 8.5 vs 12.4. The table above keeps the raw averages.
- 1 of 3 player-games reached 10+ PPR points. Scores range from 0.7 to 24.2 (median 0.7).
- all RBs scored a touchdown in 1 of 3 player-games (33%).
- Small sample: only 1 game so far. Treat these numbers as directional, not settled.
Insights are generated by rules from the table above and recalculate every week.