Prediction for Rockford Icehogs - Milwaukee Admirals 12 January 2025

Rockford Icehogs will host Milwaukee Admirals as part of the AHL tournament on their home ice. The puck drop is scheduled for 13 January 2025 at 01:00. In our prediction, you can find all the pre-match scenarios to help you make a bet on this match. Additionally, the website's editorial team has prepared their own prediction. Let's move on to a detailed match overview.

Head-to-Head Matches Rockford Icehogs vs Milwaukee Admirals

Throughout the history of their confrontations, the teams Rockford Icehogs and Milwaukee Admirals have already played 89 matches. The home team has 33 victories to their credit, while the away team has 54. Examining the performance statistics of each team in this season allows us to make predictions about which opponent is more likely to succeed. Let's delve into the statistics of each team.

Statistical Preview of Rockford Icehogs and Milwaukee Admirals

Rockford Icehogs

Let's take a closer look at the history of the last ten matches of the home team, Rockford Icehogs. Over this period, Rockford Icehogs has 5 wins and 5 losses. Goals scored – 28. On average, the performance of Rockford Icehogs is as follows: goals scored – 2.7, and conceded – about 3 per game.

Milwaukee Admirals

If you look at the league table, it becomes clear that the away team's performance is inconsistent. Currently, Milwaukee Admirals has 16 wins and 12 losses. The team is currently positioned at 9 in the league table. The away team has scored 89 goals and conceded 82.

Prediction for the match between Rockford Icehogs and Milwaukee Admirals

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 over (4.5) with coefficient 1.55