WRs vs Chicago Bears
As of Week 15 · through 2 games · PPR
WR2 = the second-highest-scoring WR against Bears in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|
| 1 |  CAR | Tetairoa McMillan | 8 | 5 | 75 | 0 | 10.5 |
| 2 |  MIN | Jordan Addison | 5 | 2 | 21 | 0 | 4.1 |
| Average | 6.5 | 3.5 | 48.0 | 0.0 | 7.3 | ||
| Median | 6.5 | 3.5 | 48.0 | 0.0 | 7.3 | ||
| High | 8 | 5 | 75 | 0 | 10.5 | ||
| Low | 5 | 2 | 21 | 0 | 4.1 | ||
Averages are raw, outliers are never removed.
Prediction for DJ Moore
Nobody knows which slot DJ Moore 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 15.1 points for DJ Moore if playing as a WR1. DJ Moore has averaged 21.0 over 1 game, and the Bears have given up 21.1 to WR1s (+25% vs the league average of 17.0).
How this projection is built
1. The player. DJ Moore scored: Wk 1 21.0. Average 21.0; weighted toward recent games it is 13.8.
2. The defense. Over 2 games, the Bears allowed 21.1 points to their opponent's WR1. The league average for that slot is 17.0, so that is +25%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a +10% adjustment (x1.10).
4. Result. 13.8 x 1.10 = 15.1. 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 DJ Moore is to reach it as a WR1.
Why this percentage?
The projection (15.1) 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 9.1 points, leaning on DJ Moore'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 15.
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%.
Insights
- WR2s have averaged 3.5 receptions, 48.0 receiving yards and 0.0 receiving TDs against the Bears across 2 games.
- The Bears allow 7.3 PPR points to WR2s, -12% versus the league average of 8.3 (ranked 15 of 32, where 1 is most generous). That is a tough matchup.
- 1 of 2 games reached 10+ PPR points. Scores range from 4.1 to 10.5 (median 7.3).
- WR2s scored a touchdown in 0 of 2 games (0%).
- 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
DJ Moore usually plays as the team's WR1, so the verdict uses the WR1 numbers, not the slot selected above.
- DJ Moore averages 21.0 PPR points over 1 game (recent-weighted 21.0) and has played as the team's WR1.
- The Bears have allowed 21.1 points to WR1s over 2 games (+25% vs league). The model applies 40% of that gap because the sample is small, giving a +10% adjustment.
- Last season's average (10.1) is blended in at 67% weight because this season's sample is small.
- Injury report: Out. The projection assumes the player plays.
- Projection: 15.1 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.
DJ Moore's stats vs the Bears
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 DJ Moore 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 DJ Moore 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 DJ Moore's own average: green means the defense gives that slot more than DJ Moore usually produces.
Projected is DJ Moore'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 | HOU | 8 | 5 | 100 | 1 | 21.0 |
| Moore avg | 8.0 | 5.0 | 100.0 | 1.0 | 21.0 | |
| Bears WR2 avg | 6.5 | 3.5 | 48.0 | 0.0 | 7.3 | |
| Difference | -1.5 | -1.5 | -52.0 | -1.0 | -13.7 | |
| Projected as WR2 | 7.6 | 4.8 | 95.2 | 1.0 | 13.1 | |
Difference is what the defense allows minus what Moore averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.