Khimki M. vs Temp Sumz Revda: match prediction on 12 October 2026

Khimki M. enter this fixture as the slight favourites, backed by a head-to-head record that gives them eight victories across fifteen meetings against Temp Sumz Revda's seven. The model expects Khimki to score 79 points while their opponents manage 77.

Form gap

Temp Sumz Revda have taken fifteen points from their last five matches, winning every game without a single draw. Their most recent results include a 105:77 victory over Novosibirsk at home on 01.10.2026 and a 91:81 win against Barnaul on 04.10.2026, with the side scoring 451 points while conceding 375 across that run. Khimki M. have collected only nine points from five games, winning three and losing two. Their last outing saw them beat Desna Bryansk 73:63 away on 05.10.2026, and they have scored 372 points while conceding 351 in the same period. The visitors arrive with momentum, but the hosts have shown they can compete on their own ground.

H2H pattern

The last six meetings tell a story of close contests. The overall record stands at eight wins for Khimki and seven for Temp Sumz, but the most recent encounter was decided by four points.

Model expectations

The model gives no probability to a draw, zero to both teams scoring, and zero to three or more points in the match. These figures point to a one-sided outcome rather than a tight contest. The expected points of 79 for Khimki and 77 for Temp Sumz suggest a narrow margin, but the model's confidence in a decisive result is clear. The hosts have the edge in the head-to-head and the model backs them to convert that advantage.

When the conclusion fails

This prediction rests on Khimki maintaining their home advantage and the model's expectation holding. If Temp Sumz Revda extend their winning streak to six matches, or if the hosts drop points at home, the outcome shifts. The visitors have shown they can win away, as demonstrated by their 87:84 victory at University-Ugra on 28.04.2026, and they will not be intimidated by the record. A draw, while the model assigns it zero probability, would undermine the entire premise if it materialises.