Kyle Monangai
RB
Chicago BearsQ
This is how RBs have played against the Packers in the 2026 season.
RB2 = the second-highest-scoring RB against Packers in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  MIN | Aaron Jones | 12 | 40 | 1 | 1 | 0 | 0 | 0 | 10.0 |
| 2 |  NYJ | Braelon Allen | 5 | 7 | 1 | 1 | 1 | 8 | 0 | 8.5 |
| 3 |  ATL | Brian Robinson | 10 | 50 | 1 | 0 | 0 | 0 | 0 | 11.0 |
| 4 |  TB | Sean Tucker | 3 | 10 | 1 | 0 | 0 | 0 | 0 | 7.0 |
| Average | 7.5 | 26.8 | 1.0 | 0.5 | 0.3 | 2.0 | 0.0 | 9.1 | ||
| Median | 7.5 | 25.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 9.3 | ||
| High | 12 | 50 | 1 | 1 | 1 | 8 | 0 | 11.0 | ||
| Low | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 7.0 | ||
Averages are raw, outliers are never removed.
How Kyle Monangai 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 Kyle Monangai 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 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 Kyle Monangai 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 Kyle Monangai's own average: green means the defense gives that slot more than Kyle Monangai usually produces.
Projected is Kyle Monangai'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 | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | CAR | 10 | 100 | 1 | 2 | 2 | 24 | 0 | 20.4 |
| 2 | MIN | 10 | 47 | 0 | 2 | 2 | 11 | 0 | 7.8 |
| 3 | PHI | 10 | 31 | 0 | 0 | 0 | 0 | 0 | 3.1 |
| 4 | NYJ | 30 | 146 | 2 | 1 | 1 | 4 | 0 | 28.0 |
| Monangai avg | 15.0 | 81.0 | 0.8 | 1.3 | 1.3 | 9.8 | 0.0 | 14.8 | |
| Packers RB2 avg | 7.5 | 26.8 | 1.0 | 0.5 | 0.3 | 2.0 | 0.0 | 9.1 | |
| Difference | -7.5 | -54.3 | +0.3 | -0.8 | -1.0 | -7.8 | +0.0 | -5.7 | |
Difference is what the defense allows minus what Monangai 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 scoreKyle Monangai vs the Packers
Prediction for Kyle Monangai
Nobody knows which slot Kyle Monangai 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 17.2 points for Kyle Monangai if playing as a RB2. Kyle Monangai has averaged 14.8 over 4 games, and the Packers have given up 9.1 to RB2s (+96% vs the league average of 4.7).
How this projection is built
1. The player. Kyle Monangai scored: Wk 1 20.4, Wk 2 7.8, Wk 3 3.1, Wk 4 28.0. Average 14.8; weighted toward recent games it is 13.2.
2. The defense. Over 4 games, the Packers allowed 9.1 points to their opponent's RB2. The league average for that slot is 4.7, so that is +96%.
3. Trusting small samples less. With 4 defensive games, only 57% of the gap is applied, capped at +/-30%. That gives a +30% adjustment (x1.30).
4. Result. 13.2 x 1.30 = 17.2. 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 Kyle Monangai is to reach it as a RB2.
Why this percentage?
The projection (17.2) 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 11.1 points, leaning on Kyle Monangai'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 17.
With only 4 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
- RB2s have averaged 7.5 carries, 26.8 rushing yards and 0.3 receptions against the Packers across 4 games.
- The Packers allow 9.1 PPR points to RB2s, +96% versus the league average of 4.7 (ranked 3 of 32, where 1 is most generous). That is a favorable matchup.
- 2 of 4 games reached 10+ PPR points. Scores range from 7.0 to 11.0 (median 9.3).
- RB2s scored a touchdown in 4 of 4 games (100%).
Insights are generated by rules from the table above and recalculate every week.