Gambusinos de Fresnillo65-79Lobos de Puebla

This Mexican LNBP round-15 fixture finds both teams without a league table record on file, so the model leans on recent form and venue splits. The clearest signal is the away side's 65.1% win probability, with a projected four-point margin.

Gambusinos de Fresnillo have alternated results at home, posting a 3-3 record in their last six at the Gimnasio Solidaridad while averaging 77 points scored and 79 conceded. Their last five games overall produced a 78-82.4 scoring split, with three losses in that stretch.

Lobos de Puebla also went 3-3 across their last six away games, but their recent five matches show a stronger profile: four wins and an average of 95 points scored. They concede 85.6 over that same window, suggesting output has outpaced defensive stability.

No prior meetings between these sides are on record, so there is no head-to-head history to weigh. The model's projection rests entirely on recent form and venue splits, which makes the estimate less anchored than usual.

At home, Fresnillo's last six have produced a 50% win rate with a net differential of minus two points. On the road, Puebla's last six also produced a 50% win rate, with a slightly larger negative differential of minus 2.7 points, making both splits roughly even.

Both sides enter on four days of rest, which the data flags as a short turnaround for each team. The away side's recent scoring climb is the most notable factor, while the home side's home scoring average sits below their recent five-game overall mark of 78.

The model gives Lobos de Puebla a 65.1% chance of winning, with an expected scoreline of 84-89 and a projected margin of about four points. It projects roughly 173 combined points, and the largest probability share (35.5%) goes to a single-digit away win, followed by a double-digit away win at 29.6%.

The data points to a narrow away victory, led by the visitors' recent offensive output and a projected margin in single digits. An upset would require the home defense to hold Puebla below their recent scoring rate, a possibility the model's medium confidence does not rule out.