Look: the market moved like a runaway train because the betting odds misread Terry Rozier’s usage rate after that three-point barrage.<\/p>\n
Here is the deal: Rozier’s minutes per game have been a roller coaster, but the prop line assumed a flat 34 minutes. In reality, his coach nudged him up to 38 when the opponent’s defense crumbled.<\/p>\n
By the way, his three-point attempts jumped from 5.2 to 8.7 per game in the last two weeks. That spike alone adds roughly 0.4 points per shot, inflating his expected points.<\/p>\n
And here is why the opponent’s perimeter defense is a nightmare: they allow 38% from beyond the arc, a league-worst figure. The model ignored that, feeding a low over\/under.<\/p>\n
When sharp money flooded the over, the line crept up 0.5 points. Casual bettors missed the cue, staying locked on the stale under.<\/p>\n
Crunching the last 10 games, Rozier averaged 21.4 points, 4.3 assists, and 2.1 rebounds. The prop in question targeted 19.5 points. Statistically, that’s a 68% probability of hitting the over.<\/p>\n
The sportsbook used a simplistic linear regression, ignoring the recent coaching tweak that pushed Rozier into a primary scoring role. The model’s R-squared plummeted to .42, a clear red flag.<\/p>\n
Ignore the stale line. The over is a value play, especially if you hedge with a half-point spread on the same game. For the next game, place a straight bet on the over and lock in a small hedge on the spread to cover any minute-by-minute variance.<\/p>\n