SportsProof
Jonah Coleman

Jonah Coleman

RBDENDenver Broncos

Other RBs on DEN
Heads up
  • Teammate RJ Harvey (a top target) is on IR, so Coleman may see more targets.

A hurt top target or lead back nudges the projection up a little, since their work tends to shift to teammates. QB and offensive-line flags are shown for context but do not change the number.

Games
3
2026 season
PPR PPG
14.7
RB18 overall
Total pts
44.1

This is how RBs have played against the Jets in the 2026 season.

RB1 = the highest-scoring RB against Jets in each game, not a fixed depth-chart spot.

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1TENTENTony Pollard735021-104.4
2GBGBMarShawn Lloyd620022618.6
3DETDETJahmyr Gibbs209928765141.4
4CHICHIKyle Monangai301462114028.0
5CLECLEQuinshon Judkins1444043608.0
6NENECorey Kiner1157000005.7
7MIAMIAOllie Gordon II251031310017.3
8LVLVAshton Jeanty2904364010.3
Average14.464.10.63.02.318.00.315.5
Median12.550.50.02.51.55.00.09.4
High3014628765141.4
Low29000-104.4

Averages are raw, outliers are never removed.

RB1 avg pts
15.5
PPR per game
Rank
19
of 32 (1 = most allowed)
vs League
-4%
lg avg 16.1
How Jonah Coleman should do vs the JetsSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Jets, plus a projection for this game.

What is this table?

Rows at the top are every game Jonah Coleman has played this season, using the same stat columns as the table above.

Compare against picks which group of Jets 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 Jonah Coleman will land in this week, so this is your call, not a guess.

Jets avg is the average line of that group. Difference is that minus Jonah Coleman's own average: green means the defense gives that slot more than Jonah Coleman usually produces.

Projected is Jonah Coleman's recent-weighted average scaled by how generous the Jets 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.

Compare against
WkOppCarRuYdRuTDTgtRecReYdReTDFPts
2JAX103913319014.8
7ARI9540221508.9
8KC114115463020.4
Coleman avg10.044.70.73.33.032.30.014.7
Jets RB1 avg14.464.10.63.02.318.00.315.5
Difference+4.4+19.5-0.0-0.3-0.8-14.3+0.3+0.8
Projected as RB19.743.40.63.22.931.40.014.7

Difference is what the defense allows minus what Coleman 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 · Jonah ColemanMedium confidence · 14.7 proj pts7/10 start
  • Jonah Coleman averages 14.7 PPR points over 3 games (recent-weighted 15.2) and has played as the team's RB1.
  • The Jets have allowed 15.5 points to RB1s over 8 games (-4% vs league). The model applies 73% of that gap because the sample is small, giving a -3% adjustment.
  • Projection: 14.7 points.
  • For reference, a typical weekly starter-level RB scores about 13.1 and a top-tier one about 20.9.
  • A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreJonah Coleman vs the Jets

Prediction for Jonah Coleman

Nobody knows which slot Jonah Coleman will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Jets.

If Jonah Coleman plays as
14.7
projected PPR points

I predict about 14.7 points for Jonah Coleman if playing as a RB1. Jonah Coleman has averaged 14.7 over 3 games, and the Jets have given up 15.5 to RB1s (-4% vs the league average of 16.1).

How this projection is built

1. The player. Jonah Coleman scored: Wk 2 14.8, Wk 7 8.9, Wk 8 20.4. Average 14.7; weighted toward recent games it is 15.2.

2. The defense. Over 8 games, the Jets allowed 15.5 points to their opponent's RB1. The league average for that slot is 16.1, so that is -4%.

3. Trusting small samples less. With 8 defensive games, only 73% of the gap is applied, capped at +/-30%. That gives a -3% adjustment (x0.97).

4. Result. 15.2 x 0.97 = 14.7. 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 Jonah Coleman is to reach it as a RB1.

42%
chance of 15+ PPR points
Why this percentage?

The projection (14.7) 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 7.3 points, leaning on Jonah Coleman'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 15.

With only 3 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
  • RB1s have averaged 14.4 carries, 64.1 rushing yards and 2.3 receptions against the Jets across 8 games.
  • The Jets allow 15.5 PPR points to RB1s, -4% versus the league average of 16.1 (ranked 19 of 32, where 1 is most generous). That is a near-average matchup.
  • Outlier: Week 4, Kyle Monangai (28.0 pts, 30 car, 146 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 15.5 vs 13.7; car 14.4 vs 12.1; rush yds 64.1 vs 52.4. The table above keeps the raw averages.
  • Outlier: Week 3, Jahmyr Gibbs (41.4 pts, 99 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 15.5 vs 11.8; rush yds 64.1 vs 59.1. The table above keeps the raw averages.
  • 4 of 8 games reached 10+ PPR points. Scores range from 4.4 to 41.4 (median 9.4).
  • RB1s scored a touchdown in 4 of 8 games (50%).

Insights are generated by rules from the table above and recalculate every week.