
Stats updated: Sep 20, 2026 — nightly box scores, not live.
Matthew Golden has gone over 3.5 REC in 4 of his last 10 decided games (40%), measured against our typical-game line.
In addition to leading the team in receiving yards, Golden drew a pivotal 38-yard pass interference penalty to get the Packers out of a first-and-25 hole on a drive that culminated in a Christian Watson touchdown catch to cut the deficit to three points in the fourth quarter. Golden has been out-targeted 19-18 by Watson through two games, and both wide receivers figure to maintain prominent roles in Thursday's Week 3 home game against the Eagles. Fellow Packers wideout Jayden Reed (neck) looks unlikely to suit up for that game after being carted off the field on the opening drive Sunday.
Player is Out — no read on this line.Small samples and hot streaks are discounted by a 95% Wilson lower bound (the trust factor), so a thin streak can’t masquerade as an edge.
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REC over rate across nearby lines (season) — find where the edge holds or flips. The bar shows the 95% Wilson interval; the dot is the point estimate. Click a line to run the full read at that number.
| Line | Over | O / U | Confidence interval |
|---|---|---|---|
| 100% | 13/13 | ||
| 77% | 10/13 | ||
| 69% | 9/13 | ||
| 3.5Current | 46% | 6/13 | |
| 15% | 2/13 | ||
| 8% | 1/13 | ||
| 0% | 0/13 |
Over 3.5 REC by situation, each with its own confidence — thin splits read Low, so a small-sample “crushes at home” doesn’t masquerade as an edge.
ATL allows 4.2 REC per game to wide receivers (rank 1 = allows the most).
Sample: 6 player-gameslow sample — interpret with caution
FavorableOver his last 10 games, Matthew Golden has gone over 3.5 REC 4 of 10 decided times (40%) — versus 46% across the full season. ATL has been a favorable matchup for wide receivers this season, allowing the 8th-most REC of 32 teams (4.2 per game) (small sample — read with caution). His game-to-game REC have been highly variable (σ ≈ 1.5), so short streaks can mislead. These are descriptive stats about past games, not predictions or betting advice.
Our model puts the over at 53.0% vs the market's no-vig 45.0%. A comparison of two numbers — not a guarantee.
Each book’s line and your season under rate at that number, vs the market consensus (4.5 REC). A softer number you’d clear more often is a discount — the best one lifts the FireFactor read. Click a book to switch the whole read to it.
under rate = season hit rate at that line. Edge = points of hit rate vs the consensus line. Descriptive research from past games — not betting advice.
Enter the book's American odds to see implied probability, the no-vig fair price, and the edge vs. this player's season hit rate.
Hit rate excludes pushes from the denominator. Confidence uses a 95% Wilson interval — a high recent rate on few games still reads as low confidence. Season over rate at this line: 46%.
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Descriptive research from public game logs — hit rates describe past games and are not predictions, picks, or betting advice.