When the New York Jets traveled to Foxborough to face the New England Patriots on October 18, 2026, one of the sharper player prop opportunities on the board was targeting Braelon Allen’s receiving production. The XO Sports AI model flagged this one with real conviction, projecting Allen to finish with just 13.94 receiving yards and backing the Under 14.5 Receiving Yards at -113 odds.
Why the Model Liked the Under
The reasoning behind this pick was grounded in volume expectations and matchup context. Allen is primarily a ground-and-pound back in New York’s offense, and his involvement as a pass catcher tends to be limited and inconsistent. Against a Patriots defense that has shown a willingness to take away check-down options and limit easy completions out of the backfield, the projection of under 15 receiving yards made a lot of sense on paper.
The XO Sports AI model processed recent target share trends, snap count data, and the defensive tendencies New England deploys against opposing running backs in the passing game. With a model probability of 66.5%, this was not a blind stab in the dark. That kind of confidence typically signals a real edge over the market line, and the odds of -113 offered solid value relative to the projected probability.
How It Played Out
Unfortunately, this one did not go our way. Despite the model projecting Allen at 13.94 receiving yards, the result came back as a loss, meaning Allen exceeded the 14.5-yard threshold on the day. These situations are part of sports betting. Even a well-constructed pick with a 66% probability is going to lose roughly one out of every three times, and this was one of those outcomes. The process behind the pick was sound even if the result was not.
It is worth remembering that a single result does not invalidate a model. Over a large sample of picks at this probability range, the edge compounds in your favor. One loss is a data point, not a verdict.
Keep Using the Edge
This is exactly why tracking your picks over time matters so much. The XO Sports platform is built to give you an honest, data-driven look at player props just like this one, complete with projected outcomes and real probability estimates that go beyond gut feel or surface-level stats.
If you want to stay ahead of the market on NFL player props, head over to XO Sports and explore the full slate of AI-powered picks each week. From receiving yards to rushing attempts and beyond, the model is working around the clock to find edges that casual bettors overlook. Sign up today and put real data behind every decision you make this NFL season.