WRs vs Green Bay Packers
As of Week 18 · through 2 games · PPR
Showing the three highest-scoring WRs from each game.
| Wk | Team | Player | Slot | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  MIN | Justin Jefferson | WR1 | 9 | 8 | 92 | 2 | 31.2 |
| Jordan Addison | WR2 | 2 | 0 | 0 | 0 | 0.0 | ||
| Jauan Jennings | WR3 | 1 | 0 | 0 | 0 | 0.0 | ||
| 2 |  NYJ | Garrett Wilson | WR1 | 7 | 5 | 57 | 1 | 16.7 |
| Adonai Mitchell | WR2 | 12 | 6 | 63 | 0 | 12.3 | ||
| Isaiah Williams | WR3 | 6 | 6 | 34 | 0 | 10.8 | ||
| Average | 6.2 | 4.2 | 41.0 | 0.5 | 11.8 | |||
| Median | 6.5 | 5.5 | 45.5 | 0.0 | 11.6 | |||
| High | 12 | 8 | 92 | 2 | 31.2 | |||
| Low | 1 | 0 | 0 | 0 | 0.0 | |||
Averages are raw, outliers are never removed.
How Amon-Ra St. Brown should do vs the PackersSeason log, the group you pick, and a projection
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 Amon-Ra St. Brown 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 WR they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Amon-Ra St. Brown 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 Amon-Ra St. Brown's own average: green means the defense gives that slot more than Amon-Ra St. Brown usually produces.
Projected is Amon-Ra St. Brown'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 | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|
| 1 | NO | 14 | 10 | 67 | 2 | 28.7 |
| 2 | BUF | 13 | 9 | 142 | 2 | 35.2 |
| Brown avg | 13.5 | 9.5 | 104.5 | 2.0 | 32.0 | |
| Packers Top 3 avg | 6.2 | 4.2 | 41.0 | 0.5 | 11.8 | |
| Difference | -7.3 | -5.3 | -63.5 | -1.5 | -20.1 | |
| Projected | 15.7 | 11.1 | 121.7 | 2.3 | 29.9 | |
Difference is what the defense allows minus what Brown 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 · Amon-Ra St. BrownMedium confidence · 29.9 proj ptsMust Start
Amon-Ra St. Brown usually plays as the team's WR1, so the verdict uses the WR1 numbers, not the slot selected above.
- Amon-Ra St. Brown averages 32.0 PPR points over 2 games (recent-weighted 32.3) and has played as the team's WR1.
- The Packers have allowed 23.9 points to WR1s over 2 games (+41% vs league). The model applies 40% of that gap because the sample is small, giving a +17% adjustment.
- Last season's average (19.1) is blended in at 50% weight because this season's sample is small.
- Projection: 29.9 points.
- For reference, a typical weekly starter-level WR scores about 11.8 and a top-tier one about 20.8.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreAmon-Ra St. Brown vs the Packers
Prediction for Amon-Ra St. Brown
Nobody knows which slot Amon-Ra St. Brown 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 29.9 points for Amon-Ra St. Brown if playing as a WR1. Amon-Ra St. Brown has averaged 32.0 over 2 games, and the Packers have given up 23.9 to WR1s (+41% vs the league average of 17.0).
How this projection is built
1. The player. Amon-Ra St. Brown scored: Wk 1 28.7, Wk 2 35.2. Average 32.0; weighted toward recent games it is 25.7.
2. The defense. Over 2 games, the Packers allowed 23.9 points to their opponent's WR1. The league average for that slot is 17.0, so that is +41%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a +17% adjustment (x1.17).
4. Result. 25.7 x 1.17 = 29.9. 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 Amon-Ra St. Brown is to reach it as a WR1.
Why this percentage?
The projection (29.9) 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 18.0 points, leaning on Amon-Ra St. Brown's own game-to-game swings once there are several games (and on typical WR 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 30.
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
- top-3 WRs have averaged 4.2 receptions, 41.0 receiving yards and 0.5 receiving TDs per player-game against the Packers across 2 games.
- The Packers allow 35.5 PPR points to the position per game, +19% versus the league average of 29.8 (ranked 11 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 1, Justin Jefferson (31.2 pts, 8 rec, 92 yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.8 vs 8.0; rec 4.2 vs 3.4; yds 41.0 vs 30.8. The table above keeps the raw averages.
- Outlier: Week 1, Jordan Addison (0.0 pts, 0 rec, 0 yds) sits far below the other games and drags the averages down. Average with it vs without it: pts 11.8 vs 14.2; rec 4.2 vs 5.0; yds 41.0 vs 49.2. The table above keeps the raw averages.
- 4 of 6 player-games reached 10+ PPR points. Scores range from 0.0 to 31.2 (median 11.6).
- top-3 WRs scored a touchdown in 2 of 6 player-games (33%).
- 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.