Every week, the XO Sports AI model combs through player prop markets to find edges that casual bettors often overlook. For the Houston Texans vs. Jacksonville Jaguars matchup on October 18, 2026, one of those edges pointed directly at Texans running back Woody Marks and his receiving yardage total.
The Pick: Woody Marks Under 15.5 Receiving Yards
The XO Sports model projected Marks at just 14.55 receiving yards for this contest, sitting comfortably below the 15.5-yard line set by the books. At -113 odds, the model assigned a probability of 67% to the under hitting, which represents a meaningful edge over the implied probability baked into those odds.
So what made this prop attractive in the first place? Running backs who serve primarily as rushers in a given scheme tend to see limited, situational targets in the passing game. When the XO Sports AI crunched the usage patterns, target share data, and Jacksonville’s defensive tendencies against receiving backs, the numbers pointed toward a quiet day through the air for Marks. The model saw a scenario where Houston would lean on Marks between the tackles rather than using him as a safety valve in the passing game.
How It Played Out
Unfortunately, this one did not go our way. The pick finished as a loss, meaning Marks surpassed the 15.5-yard threshold on the day. That happens in player props. Even a 67% probability means the outcome goes the other way roughly one out of every three times. The model’s job is not to be perfect on every single pick. It is to find spots where the probability is consistently mispriced by the market over a large sample of bets.
A loss stings, but the process behind this pick was sound. The projection of 14.55 yards was well below the line, the matchup data supported a limited receiving role, and the odds provided reasonable value. One outcome does not invalidate a strong model signal, and that is an important distinction for any serious sports bettor to keep in mind.
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