This week
Bhayshul is hosting CLE. We project 13 rushing yards. 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
22% — that's Bhayshul's average snap share over 16 games. That's a limited role, and it caps everything else on this page. A player on a third of the snaps can't produce like a starter no matter how efficient he is, and the projection reflects the opportunity rather than the talent. This is the number to check first on any football page. Everything else here is downstream of it.
What kind of back he is
Bhayshul has 87 carries for 358 yards (4.1 a carry) and 5 rushing touchdowns. He's barely used in the passing game, which caps his floor: a two-down back only touches the ball when his side is ahead or grinding. 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 Bhayshul has 121 total yards. 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
Bhayshul'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. For Bhayshul specifically, he's on the field for a minority of snaps, which caps the projection regardless of how he's playing.