RBs vs Chicago Bears
As of Week 17 · through 2 games · PPR
Showing every RB who had a role in each game.
| Wk | Team | Player | Slot | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  CAR | Chuba Hubbard | RB1 | 10 | 49 | 1 | 3 | 3 | 38 | 1 | 23.7 |
| Jonathon Brooks | RB2 | 4 | 14 | 0 | 2 | 1 | 48 | 0 | 7.2 | ||
| AJ Dillon | RB3 | 5 | 28 | 0 | 0 | 0 | 0 | 0 | 2.8 | ||
| 2 |  MIN | Aaron Jones | RB1 | 23 | 105 | 0 | 0 | 0 | 0 | 0 | 10.5 |
| DeeJay Dallas | RB2 | 2 | 8 | 0 | 1 | 1 | 12 | 0 | 3.0 | ||
| Demond Claiborne | RB3 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1.2 | ||
| Average | 7.3 | 34.0 | 0.2 | 1.2 | 1.0 | 16.7 | 0.2 | 8.1 | |||
| Median | 4.5 | 21.0 | 0.0 | 1.0 | 1.0 | 7.0 | 0.0 | 5.1 | |||
| High | 23 | 105 | 1 | 3 | 3 | 48 | 1 | 23.7 | |||
| Low | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.2 | |||
Averages are raw, outliers are never removed.
How Jahmyr Gibbs 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 Jahmyr Gibbs 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 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 Jahmyr Gibbs 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 Jahmyr Gibbs's own average: green means the defense gives that slot more than Jahmyr Gibbs usually produces.
Projected is Jahmyr Gibbs'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 | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | NO | 29 | 156 | 2 | 5 | 5 | 30 | 0 | 33.6 |
| 2 | BUF | 16 | 52 | 0 | 8 | 6 | 61 | 1 | 23.3 |
| Gibbs avg | 22.5 | 104.0 | 1.0 | 6.5 | 5.5 | 45.5 | 0.5 | 28.5 | |
| Bears All avg | 7.3 | 34.0 | 0.2 | 1.2 | 1.0 | 16.7 | 0.2 | 8.1 | |
| Difference | -15.2 | -70.0 | -0.8 | -5.3 | -4.5 | -28.8 | -0.3 | -20.4 | |
| Projected | 23.3 | 107.8 | 1.0 | 6.7 | 5.7 | 47.2 | 0.5 | 25.6 | |
Difference is what the defense allows minus what Gibbs 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 · Jahmyr GibbsMedium confidence · 25.6 proj ptsMust Start
Jahmyr Gibbs usually plays as the team's RB1, so the verdict uses the RB1 numbers, not the slot selected above.
- Jahmyr Gibbs averages 28.5 PPR points over 2 games (recent-weighted 27.9) and has played as the team's RB1.
- The Bears have allowed 17.1 points to RB1s over 2 games (+9% vs league). The model applies 40% of that gap because the sample is small, giving a +4% adjustment.
- Last season's average (21.6) is blended in at 50% weight because this season's sample is small.
- Projection: 25.6 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 scoreJahmyr Gibbs vs the Bears
Prediction for Jahmyr Gibbs
Nobody knows which slot Jahmyr Gibbs 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 25.6 points for Jahmyr Gibbs if playing as a RB1. Jahmyr Gibbs has averaged 28.5 over 2 games, and the Bears have given up 17.1 to RB1s (+9% vs the league average of 15.7).
How this projection is built
1. The player. Jahmyr Gibbs scored: Wk 1 33.6, Wk 2 23.3. Average 28.5; weighted toward recent games it is 24.7.
2. The defense. Over 2 games, the Bears allowed 17.1 points to their opponent's RB1. The league average for that slot is 15.7, so that is +9%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a +4% adjustment (x1.04).
4. Result. 24.7 x 1.04 = 25.6. 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 Jahmyr Gibbs is to reach it as a RB1.
Why this percentage?
The projection (25.6) 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 15.4 points, leaning on Jahmyr Gibbs'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 26.
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 7.3 carries, 34.0 rushing yards and 1.0 receptions per player-game against the Bears across 2 games.
- The Bears allow 24.2 PPR points to the position per game, +15% versus the league average of 21.0 (ranked 10 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 2, Demond Claiborne (1.2 pts, 0 car, 0 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: pts 8.1 vs 9.4; car 7.3 vs 8.8; rush yds 34.0 vs 40.8. The table above keeps the raw averages.
- Outlier: Week 2, Aaron Jones (23 car, 105 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: car 7.3 vs 4.2; rush yds 34.0 vs 19.8. The table above keeps the raw averages.
- 2 of 6 player-games reached 10+ PPR points. Scores range from 1.2 to 23.7 (median 5.1).
- all RBs scored a touchdown in 1 of 6 player-games (17%).
- 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.