SportsProof
Tony Pollard

Tony Pollard

RBTENTennessee Titans▲ Hot

Other RBs on TEN
Heads up
  • Teammate Carnell Tate (a top target) is out, so Pollard 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
8
2026 season
PPR PPG
14.6
RB19 overall
Total pts
116.5

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

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

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1TBTBBucky Irving84517748020.3
2HOUHOUWoody Marks880652708.5
3PITPITJaylen Warren1712704349020.6
4JAXJAXBhayshul Tuten177302218011.1
5MIAMIAOllie Gordon II18881000014.8
7BALBALJustice Hill370432606.3
Average11.858.00.33.83.328.00.013.6
Median12.559.00.04.03.026.50.012.9
High1812717749020.6
Low37000006.3

Averages are raw, outliers are never removed.

RB1 avg pts
13.6
PPR per game
Rank
27
of 32 (1 = most allowed)
vs League
-15%
lg avg 16.0
How Tony Pollard should do vs the BengalsSeason log, the group you pick, and a projection

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

What is this table?

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

Compare against picks which group of Bengals 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 Tony Pollard will land in this week, so this is your call, not a guess.

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

Projected is Tony Pollard's recent-weighted average scaled by how generous the Bengals 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
1NYJ735021-104.4
2PHI1464011107.5
3NYG177404422013.6
4BAL16481422013.0
5HOU1452010005.2
6IND1976010007.6
7CLE2512933326036.5
8CIN2111725320028.7
Pollard avg16.674.40.82.61.88.80.014.6
Bengals RB1 avg11.858.00.33.83.328.00.013.6
Difference-4.8-16.4-0.4+1.2+1.6+19.3+0.0-1.0

Difference is what the defense allows minus what Pollard 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 scoreTony Pollard vs the Bengals

Prediction for Tony Pollard

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

If Tony Pollard plays as
13.1
projected PPR points

I predict about 13.1 points for Tony Pollard if playing as a RB1. Tony Pollard has averaged 12.5 over 7 games, and the Bengals have given up 13.6 to RB1s (-15% vs the league average of 16.0).

How this projection is built

1. The player. Tony Pollard scored: Wk 1 4.4, Wk 2 7.5, Wk 3 13.6, Wk 4 13.0, Wk 5 5.2, Wk 6 7.6, Wk 7 36.5. Average 12.5; weighted toward recent games it is 14.6.

2. The defense. Over 6 games, the Bengals allowed 13.6 points to their opponent's RB1. The league average for that slot is 16.0, so that is -15%.

3. Trusting small samples less. With 6 defensive games, only 67% of the gap is applied, capped at +/-30%. That gives a -10% adjustment (x0.90).

4. Result. 14.6 x 0.90 = 13.1. 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 Tony Pollard is to reach it as a RB1.

39%
chance of 13+ PPR points
Why this percentage?

The projection (13.1) 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 11.1 points, leaning on Tony Pollard'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 13.

With only 7 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 11.8 carries, 58.0 rushing yards and 3.3 receptions against the Bengals across 6 games.
  • The Bengals allow 13.6 PPR points to RB1s, -15% versus the league average of 16.0 (ranked 27 of 32, where 1 is most generous). That is a tough matchup.
  • Outlier: Week 3, Jaylen Warren (20.6 pts, 127 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 13.6 vs 12.2; rush yds 58.0 vs 44.2. The table above keeps the raw averages.
  • Outlier: Week 5, Ollie Gordon II (18 car, 88 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: car 11.8 vs 10.6; rush yds 58.0 vs 52.0. The table above keeps the raw averages.
  • 4 of 6 games reached 10+ PPR points. Scores range from 6.3 to 20.6 (median 12.9).
  • RB1s scored a touchdown in 2 of 6 games (33%).

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