RBs vs Green Bay Packers
As of Week 8 · through 2 games · PPR
RB1 = the highest-scoring RB against Packers in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  MIN | Jordan Mason | 15 | 59 | 1 | 0 | 0 | 0 | 0 | 11.9 |
| 2 |  NYJ | Breece Hall | 16 | 29 | 0 | 5 | 5 | 63 | 0 | 14.2 |
| Average | 15.5 | 44.0 | 0.5 | 2.5 | 2.5 | 31.5 | 0.0 | 13.1 | ||
| Median | 15.5 | 44.0 | 0.5 | 2.5 | 2.5 | 31.5 | 0.0 | 13.1 | ||
| High | 16 | 59 | 1 | 5 | 5 | 63 | 0 | 14.2 | ||
| Low | 15 | 29 | 0 | 0 | 0 | 0 | 0 | 11.9 | ||
Averages are raw, outliers are never removed.
Prediction for AJ Dillon
Nobody knows which slot AJ Dillon will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Packers.
I predict about 1.7 points for AJ Dillon if playing as a RB2. AJ Dillon has averaged 1.3 over 2 games, and the Packers have given up 9.3 to RB2s (+95% vs the league average of 4.8).
How this projection is built
1. The player. AJ Dillon scored: Wk 1 2.8, Wk 2 -0.3. Average 1.3; weighted toward recent games it is 1.3.
2. The defense. Over 2 games, the Packers allowed 9.3 points to their opponent's RB2. The league average for that slot is 4.8, so that is +95%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a +30% adjustment (x1.30).
4. Result. 1.3 x 1.30 = 1.7. 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 AJ Dillon is to reach it as a RB2.
Why this percentage?
The projection (1.7) 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 1.0 points, leaning on AJ Dillon'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 2.
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
- RB1s have averaged 15.5 carries, 44.0 rushing yards and 2.5 receptions against the Packers across 2 games.
- The Packers allow 13.1 PPR points to RB1s, -17% versus the league average of 15.7 (ranked 20 of 32, where 1 is most generous). That is a tough matchup.
- 2 of 2 games reached 10+ PPR points. Scores range from 11.9 to 14.2 (median 13.1).
- RB1s scored a touchdown in 1 of 2 games (50%).
- 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.
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
AJ Dillon usually plays as the team's RB2, so the verdict uses the RB2 numbers, not the slot selected above.
- AJ Dillon averages 1.3 PPR points over 2 games (recent-weighted 1.1) and has played as the team's RB2.
- The Packers have allowed 9.3 points to RB2s over 2 games (+95% vs league). The model applies 40% of that gap because the sample is small, giving a +30% adjustment.
- Last season's average (1.5) is blended in at 50% weight because this season's sample is small.
- Projection: 1.7 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.
AJ Dillon's stats vs the Packers
Season so far, compared with what the group you pick below has done against the Packers, plus a projection for this game.
What is this table?
Rows at the top are every game AJ Dillon has played this season, using the same stat columns as the table above.
Compare against picks which group of Packers 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 AJ Dillon will land in this week, so this is your call, not a guess.
Packers avg is the average line of that group. Difference is that minus AJ Dillon's own average: green means the defense gives that slot more than AJ Dillon usually produces.
Projected is AJ Dillon's recent-weighted average scaled by how generous the Packers 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 | CHI | 5 | 28 | 0 | 0 | 0 | 0 | 0 | 2.8 |
| 2 | ATL | 3 | -3 | 0 | 0 | 0 | 0 | 0 | -0.3 |
| Dillon avg | 4.0 | 12.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | |
| Packers RB1 avg | 15.5 | 44.0 | 0.5 | 2.5 | 2.5 | 31.5 | 0.0 | 13.1 | |
| Difference | +11.5 | +31.5 | +0.5 | +2.5 | +2.5 | +31.5 | +0.0 | +11.8 | |
| Projected as RB1 | 3.7 | 11.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | |
Difference is what the defense allows minus what Dillon averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.