This week
Ashton is on the road against SF. We project 30.6 rushing yards, 40.9 receiving yards on 5.7 targets. The number comes out of a drive-level simulation of the game rather than a season average — it asks how many possessions his side is likely to get, what they do with them, and how much of that flows through him.
How much he's on the field
76% — that's Ashton's average snap share over 20 games. That's a rotational-to-starter share. It's the number most likely to move his projection week to week, because a swing of ten points of snap share moves everything downstream with it. This is the number to check first on any football page. Everything else here is downstream of it.
What kind of back he is
Ashton has 292 carries for 963 yards (3.3 a carry) and 4 rushing touchdowns. He's also seen 106 targets for 660 yards — pass-game work is what separates a back who plays on third down from one who leaves the field, and it's worth more to a projection than the same yardage on the ground. Running-back yardage swings hard on the blocking in front of him, which is why the model weighs opportunity — carries and targets — above efficiency.
His last 5 games
Over that stretch Ashton has 410 total yards. Worth noting: his snap share is trending down — 58% lately against 76% overall. A handful of games is thin evidence in a seventeen-game season. It nudges the projection; it doesn't drive it.
How the model reads him
Ashton's projection starts with the game, not with him. We simulate the matchup drive by drive — how many possessions each side gets, how far they travel, how often they score — and then ask what share of that flows through him given his role. That ordering matters: a productive player on a team that runs 55 plays a game has a lower ceiling than a lesser one on a team that runs 70.
What we'd flag
Read this knowing the limits. A seventeen-game season makes every rate noisy; game script can invert a player's usage inside one afternoon; and depth-chart changes often surface too late to be in the projection.