RBs vs New York Giants
As of Week 10 · through 1 game · PPR
RB2 = the second-highest-scoring RB against Giants in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  DAL | Emari Demercado | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 |
| Average | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | ||
| Median | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | ||
| High | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 | ||
| Low | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0.7 | ||
Averages are raw, outliers are never removed.
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%.
Insights
- RB2s have averaged 2.0 carries, 7.0 rushing yards and 0.0 receptions against the Giants across 1 game.
- The Giants allow 0.7 PPR points to RB2s, -85% versus the league average of 4.8 (ranked 32 of 32, where 1 is most generous). That is a tough matchup.
- RB2s scored a touchdown in 0 of 1 games (0%).
- 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.
What do these columns mean?
- Wk
- Week of the season
- Tgt
- Targets (passes thrown to the player)
- Rec
- Receptions
- ReYd
- Receiving yards
- ReTD
- Receiving touchdowns
- Car
- Carries (rushing attempts)
- RuYd
- Rushing yards
- RuTD
- Rushing touchdowns
- Cmp / Att
- Completions and pass attempts
- PaYd / PaTD
- Passing yards and touchdowns
- INT
- Interceptions thrown
- FGM / FGA
- Field goals made and attempted
- FPts
- Fantasy points in your scoring format
- Sck / TO
- Defense: sacks and takeaways
- PA
- Points allowed by a defense
- G
- Games in the sample
- vs Lg
- Percent above or below the league average
- 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.
Jacory Croskey-Merritt's stats vs the Giants
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 RB2 avg | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | |
| Difference | -12.0 | -46.0 | -0.5 | -1.0 | -1.0 | +1.0 | +0.0 | -8.5 | |
| Projected as RB2 | 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.