Prediction for Toronto Marlies - Manitoba Moose 23 February 2025

The AHL championship will treat hockey fans to a match between Toronto Marlies and Manitoba Moose. The match is scheduled to take place on 24 February 2025 at 00:00. 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 Toronto Marlies vs Manitoba Moose

Toronto Marlies and Manitoba Moose have previously met on the ice, and we are ready to acquaint you with the past results. Taking the entire history of their head-to-head encounters into account, we observe that Toronto Marlies claimed 34 victories, while Manitoba Moose secured 18 wins. The last match took place on 19 January 2025 and concluded with a score of 0:5. Who will emerge stronger this time, and how many goals will the teams score?

Statistical Preview of Toronto Marlies vs. Manitoba Moose

Toronto Marlies

Over the past ten round s, the team Toronto Marlies has 5 wins and suffered 5 losses in regular time. The home team averages scoring 4 and conceding 3.2 goals per game. How successful will Toronto Marlies be this time?

Manitoba Moose

In the last ten matches, the away team has recorded 5 wins and 5 losses. It is also worth mentioning a few words about the team's performance Manitoba Moose in this period: they scored an average of 2.6 goals, while conceding 3.2 goals on average. This indicates that the away team should by no means be underestimated in this match.

Prediction for the match between Toronto Marlies and Manitoba Moose

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: Total is higher in the second period (1.5) with coefficient 1.6