
RBs vs Chicago Bears
As of Week 2 · through 1 game · 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 | ||
| Average | 6.3 | 30.3 | 0.3 | 1.7 | 1.3 | 28.7 | 0.3 | 11.2 | |||
| Median | 5.0 | 28.0 | 0.0 | 2.0 | 1.0 | 38.0 | 0.0 | 7.2 | |||
| High | 10 | 49 | 1 | 3 | 3 | 48 | 1 | 23.7 | |||
| Low | 4 | 14 | 0 | 0 | 0 | 0 | 0 | 2.8 | |||
Averages are raw, outliers are never removed.
How Demond Claiborne 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 Demond Claiborne 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 Demond Claiborne 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 Demond Claiborne's own average: green means the defense gives that slot more than Demond Claiborne usually produces.
Projected is Demond Claiborne'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 |
|---|---|---|---|---|---|---|---|---|---|
| 2 | CHI | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1.2 |
| Claiborne avg | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 0.0 | 1.2 | |
| Bears All avg | 6.3 | 30.3 | 0.3 | 1.7 | 1.3 | 28.7 | 0.3 | 11.2 | |
| Difference | +6.3 | +30.3 | +0.3 | +0.7 | +0.3 | +26.7 | +0.3 | +10.0 | |
| Projected | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.1 | 0.0 | 1.2 | |
Difference is what the defense allows minus what Claiborne 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 · Demond ClaiborneLow confidence · 1.2 proj ptsSit
Demond Claiborne usually plays as the team's RB2, so the verdict uses the RB2 numbers, not the slot selected above.
- Demond Claiborne averages 1.2 PPR points over 1 game (recent-weighted 1.2) and has played as the team's RB2.
- The Bears have allowed 5.1 points to RB2s over 2 games (+7% vs league). The model applies 40% of that gap because the sample is small, giving a +3% adjustment.
- Projection: 1.2 points.
- For reference, a typical weekly starter-level RB scores about 12.2 and a top-tier one about 20.0.
- Confidence is low: too few games for either the player or the defense. Use this as a rough lean, not a lock.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
InsightsPlain-English takeaways from the table
- all RBs have averaged 6.3 carries, 30.3 rushing yards and 1.3 receptions per player-game against the Bears across 1 game.
- The Bears allow 33.7 PPR points to the position per game, +45% versus the league average of 23.2 (ranked 8 of 32, where 1 is most generous). That is a favorable matchup.
- Outlier: Week 1, Chuba Hubbard (23.7 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 11.2 vs 5.0. The table above keeps the raw averages.
- Outlier: Week 1, AJ Dillon (2.8 pts) sits far below the other games and drags the averages down. Average with it vs without it: pts 11.2 vs 15.4. The table above keeps the raw averages.
- 1 of 3 player-games reached 10+ PPR points. Scores range from 2.8 to 23.7 (median 7.2).
- all RBs 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.
