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 Giants in the 2026 season.

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

WkTeamPlayerCarRuYdRuTDTgtRecReYdReTDFPts
1DALDALJavonte Williams124115531124.2
2LALAKyren Williams128502212115.7
Average12.063.00.53.53.521.51.019.9
Median12.063.00.53.53.521.51.019.9
High128515531124.2
Low124102212115.7

Averages are raw, outliers are never removed.

RB1 avg pts
19.9
PPR per game
Rank
8
of 32 (1 = most allowed)
vs League
+28%
lg avg 15.6
How Tony Pollard should do vs the GiantsSeason log, the group you pick, and a projection

Season so far, compared with what the group you pick below has done against the Giants, 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 Giants 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.

Giants 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 Giants 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
Giants RB1 avg12.063.00.53.53.521.51.019.9
Difference-4.6-11.4-0.3+0.9+1.8+12.8+1.0+5.4

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 Giants

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 Giants.

If Tony Pollard plays as
9.5
projected PPR points

I predict about 9.5 points for Tony Pollard if playing as a RB1. Tony Pollard has averaged 6.0 over 2 games, and the Giants have given up 19.9 to RB1s (+28% vs the league average of 15.6).

How this projection is built

1. The player. Tony Pollard scored: Wk 1 4.4, Wk 2 7.5. Average 6.0; weighted toward recent games it is 8.5.

2. The defense. Over 2 games, the Giants allowed 19.9 points to their opponent's RB1. The league average for that slot is 15.6, so that is +28%.

3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a +11% adjustment (x1.11).

4. Result. 8.5 x 1.11 = 9.5. 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.

45%
chance of 9+ PPR points
Why this percentage?

The projection (9.5) 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 5.7 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 9.

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
  • RB1s have averaged 12.0 carries, 63.0 rushing yards and 3.5 receptions against the Giants across 2 games.
  • The Giants allow 19.9 PPR points to RB1s, +28% versus the league average of 15.6 (ranked 8 of 32, where 1 is most generous). That is a favorable matchup.
  • 2 of 2 games reached 10+ PPR points. Scores range from 15.7 to 24.2 (median 19.9).
  • Every RB1 in the sample cleared 40 rushing yards.
  • RB1s scored a touchdown in 2 of 2 games (100%).
  • 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.