WRs vs Chicago Bears
As of Week 2 · through 1 game · PPR
Showing the three highest-scoring WRs from each game.
| Wk | Team | Player | Slot | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  CAR | Jalen Coker | WR1 | 9 | 8 | 138 | 2 | 33.8 |
| Tetairoa McMillan | WR2 | 8 | 5 | 75 | 0 | 10.5 | ||
| Xavier Legette | WR3 | 2 | 0 | 0 | 0 | 0.0 | ||
| Average | 6.3 | 4.3 | 71.0 | 0.7 | 14.8 | |||
| Median | 8.0 | 5.0 | 75.0 | 0.0 | 10.5 | |||
| High | 9 | 8 | 138 | 2 | 33.8 | |||
| Low | 2 | 0 | 0 | 0 | 0.0 | |||
Averages are raw, outliers are never removed.
How Justin Jefferson should do vs the BearsSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Bears, plus a projection for this game.
What is this table?
Rows at the top are every game Justin Jefferson has played this season, using the same stat columns as the table above.
Compare against picks which group of Bears 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 Justin Jefferson will land in this week, so this is your call, not a guess.
Bears avg is the average line of that group. Difference is that minus Justin Jefferson's own average: green means the defense gives that slot more than Justin Jefferson usually produces.
Projected is Justin Jefferson's recent-weighted average scaled by how generous the Bears 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 | GB | 9 | 8 | 92 | 2 | 31.2 |
| 2 | CHI | 6 | 3 | 55 | 0 | 8.5 |
| Jefferson avg | 7.5 | 5.5 | 73.5 | 1.0 | 19.9 | |
| Bears Top 3 avg | 6.3 | 4.3 | 71.0 | 0.7 | 14.8 | |
| Difference | -1.2 | -1.2 | -2.5 | -0.3 | -5.1 | |
Difference is what the defense allows minus what Jefferson averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.
Prediction & chance to scoreJustin Jefferson vs the Bears
Prediction for Justin Jefferson
Nobody knows which slot Justin Jefferson will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Bears.
I predict about 22.8 points for Justin Jefferson if playing as a WR1. Justin Jefferson has averaged 31.2 over 1 game, and the Bears have given up 33.8 to WR1s (+99% vs the league average of 17.0).
How this projection is built
1. The player. Justin Jefferson scored: Wk 1 31.2. Average 31.2; weighted toward recent games it is 18.3.
2. The defense. Over 1 game, the Bears allowed 33.8 points to their opponent's WR1. The league average for that slot is 17.0, so that is +99%.
3. Trusting small samples less. With 1 defensive game, only 25% of the gap is applied, capped at +/-30%. That gives a +25% adjustment (x1.25).
4. Result. 18.3 x 1.25 = 22.8. 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 Justin Jefferson is to reach it as a WR1.
Why this percentage?
The projection (22.8) 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 13.7 points, leaning on Justin Jefferson'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 23.
With only 1 game 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 4.3 receptions, 71.0 receiving yards and 0.7 receiving TDs per player-game against the Bears across 1 game.
- The Bears allow 44.3 PPR points to the position per game, +50% versus the league average of 29.6 (ranked 4 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 1, Jalen Coker (33.8 pts, 8 rec, 138 yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 14.8 vs 5.3; rec 4.3 vs 2.5; yds 71.0 vs 37.5. The table above keeps the raw averages.
- Outlier: Week 1, Xavier Legette (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 14.8 vs 22.1; rec 4.3 vs 6.5; yds 71.0 vs 106.5. The table above keeps the raw averages.
- 2 of 3 player-games reached 10+ PPR points. Scores range from 0.0 to 33.8 (median 10.5).
- top-3 WRs 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.