Prediction for Lokomotiv Yaroslavl - Sibir Novosibirsk 22 February 2025

The KHL championship will treat hockey fans to a match between Lokomotiv Yaroslavl and Sibir Novosibirsk. The match is scheduled to take place on 22 February 2025 at 17:00. Our team has conducted a detailed analysis of the match and provided its prediction, which you can review. We also invite you to leave your comments regarding this match.

Head-to-Head Matches Lokomotiv Yaroslavl vs Sibir Novosibirsk

They have faced each other 35 times – that's the number of encounters between Lokomotiv Yaroslavl and Sibir Novosibirsk. Lokomotiv Yaroslavl secured victory 22 times, while the guests added 10 wins to their record. In their most recent face-off on 17 January 2025, the match concluded with a score of 2:3. It's an interesting statistic that needs to be wisely utilized.

Statistical Preview of Lokomotiv Yaroslavl vs. Sibir Novosibirsk

Lokomotiv Yaroslavl

To analyze the performance of Lokomotiv Yaroslavl, we took a snapshot of the last ten games: the team has 4 wins and 6 losses. They have scored 25 goals, with an average total of 2.5 over the last ten games. As for conceded goals, the average is 2.5.

Sibir Novosibirsk

In the last ten matches, the away team has recorded 6 wins and 4 losses. It is also worth mentioning a few words about the team's performance Sibir Novosibirsk in this period: they scored an average of 3 goals, while conceding 2.7 goals on average. This indicates that the away team should by no means be underestimated in this match.

Prediction for the match between Lokomotiv Yaroslavl and Sibir Novosibirsk

After conducting a detailed analysis of the match, we managed to identify the strengths and weaknesses of the teams. Also, for the match prediction, we paid attention to the teams' recent performances, specifically the last ten matches. Both teams showed somewhat unexpected results at times, which is why it wasn't so easy to choose a prediction for the encounter. Based on the teams' recent results, we were able to determine the most optimal option for the prediction, and it is as follows: Win 1 with coefficient 1.67