SportsProof
Jacory Croskey-Merritt
ARI

RBs vs Arizona Cardinals

As of Week 12 · through 2 games · PPR

Jacory Croskey-Merritt
Comparing
Jacory Croskey-Merritt vs the Cardinals
Projection 7.2 pts · 2 games played this season
Sit

Showing every RB who had a role in each game.

Pts / game allowed
12.9
to all RBs
Rank
29
of 32 (1 = most allowed)
vs League
-38%
lg avg 21.0
WkTeamPlayerSlotCarRuYdRuTDTgtRecReYdReTDFPts
1LACLACOmarion HamptonRB11243100008.3
Keaton MitchellRB249000000.9
2SEASEAEmanuel WilsonRB12192010009.2
Jadarian PriceRB21352021805.0
George HolaniRB3413011202.5
Average10.841.80.20.80.42.00.05.2
Median12.043.00.01.00.00.00.05.0
High2192121809.2
Low49000000.9

Averages are raw, outliers are never removed.

How Jacory Croskey-Merritt should do vs the CardinalsSeason log, the group you pick, and a projection

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

Cardinals 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 Cardinals 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
Croskey-Merritt avg14.053.00.51.01.0-1.00.09.2
Cardinals All avg10.841.80.20.80.42.00.05.2
Difference-3.2-11.2-0.3-0.2-0.6+3.0+0.0-4.0
Projected11.945.00.40.80.8-0.80.07.2

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-MerrittMedium confidence · 7.2 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 Cardinals have allowed 3.0 points to RB2s over 2 games (-38% vs league). The model applies 40% of that gap because the sample is small, giving a -15% adjustment.
  • Last season's average (8.3) is blended in at 50% weight because this season's sample is small.
  • Projection: 7.2 points.
  • For reference, a typical weekly starter-level RB scores about 12.2 and a top-tier one about 20.0.
  • 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 Cardinals

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 Cardinals.

If Jacory Croskey-Merritt plays as
7.2
projected PPR points

I predict about 7.2 points for Jacory Croskey-Merritt if playing as a RB2. Jacory Croskey-Merritt has averaged 9.2 over 2 games, and the Cardinals have given up 3.0 to RB2s (-38% 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 2 games, the Cardinals allowed 3.0 points to their opponent's RB2. The league average for that slot is 4.8, so that is -38%.

3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a -15% adjustment (x0.85).

4. Result. 8.5 x 0.85 = 7.2. 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.

44%
chance of 7+ PPR points
Why this percentage?

The projection (7.2) 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 4.3 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 10.8 carries, 41.8 rushing yards and 0.4 receptions per player-game against the Cardinals across 2 games.
  • The Cardinals allow 12.9 PPR points to the position per game, -38% versus the league average of 21.0 (ranked 29 of 32, where 1 is most generous). That is a tough matchup.
  • Outlier: Week 2, Emanuel Wilson (21 car, 92 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: car 10.8 vs 8.3; rush yds 41.8 vs 29.3. The table above keeps the raw averages.
  • Outlier: Week 2, George Holani (4 car, 13 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: car 10.8 vs 12.5; rush yds 41.8 vs 49.0. The table above keeps the raw averages.
  • 0 of 5 player-games reached 10+ PPR points. Scores range from 0.9 to 9.2 (median 5.0).
  • all RBs scored a touchdown in 1 of 5 player-games (20%).
  • Small sample: only 2 games so far. Treat these numbers as directional, not settled.

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