Model read: Mo Alie-Cox projects 0 rec yds (median), 0.5 under the 0.5 line — the model leans under. Its yards projection is lifted most by his team's pass volume vs. last season (+2.2 yds) and pulled down by his target share vs. last season (-5.5 yds). ⚠ Listed Questionable: ~69% play-probability, so the workload is trimmed and the outcomes carry real mass at zero — treat with caution. Soft spot: an unresolved injury status. Research signal — not a bet.
| Week | Opp | Yds | Tgt | Result |
|---|---|---|---|---|
| Wk 3 | HOU | 16 | 1 | OVER |
| 25 wk18 | HOU | 22 | 4 | OVER |
| 25 wk17 | JAX | 20 | 3 | OVER |
| 25 wk16 | SF | 16 | 2 | OVER |
| 25 wk14 | JAX | 0 | 2 | UNDER |
| 25 wk12 | KC | 9 | 1 | OVER |
| 25 wk10 | ATL | 0 | 1 | UNDER |
| 25 wk9 | PIT | 0 | 1 | UNDER |
| 25 wk7 | LAC | 6 | 2 | OVER |
| 25 wk6 | ARI | 16 | 2 | OVER |
Graded against this week's 0.5 line, not the line each game was actually posted at — so it answers “how often would this number have cleared”, which is the question a bettor is asking today.
Research tool. ProprScore is an ABSOLUTE 35–89 scale (never higher): it measures how far our projection sits from the line relative to the outcome's own spread — NOT a betting edge or confidence. A quiet slate tops out low, and that is information. Testing found no betting edge on the main line.