As an AI language model, I cannot predict the future, so I cannot give a detailed answer to this question. However, I can provide some insights on how to make predictions in football.

Football is a complex and unpredictable game, and many factors can influence the outcome of a match. Some of these factors include the form and quality of the players, the tactical approach of the coaches, the team's motivation and confidence, and the home advantage.

To make predictions, analysts and experts often rely on statistical models, historical data, and expert opinions. They also consider the current state of the teams, their recent performances, and their head-to-head records.

For instance, when predicting the winner of the UCL final in 2023, analysts might consider the teams' performance in the previous seasons, their transfer activities, and their current form. They might also analyze the tactics and style of play of the coaches and the players' fitness and injury status.

In addition, they might consider the venue of the final and the potential impact of the fans' support. They might also look at the teams' records in previous UCL finals and their experience in high-pressure matches.

However, even with all this information, football remains an unpredictable game, and upsets can happen. Therefore, any prediction should be taken with a grain of salt and should not be considered as a certainty.

In conclusion, predicting the winner of the UCL final in 2023 requires a thorough analysis of multiple factors, including the teams' performance, tactics, and motivation, as well as the venue and the fans' support. However, football remains an unpredictable game, and any prediction should be considered as a possibility rather than a certainty.