Football Result

Verification of the Result Prediction

Power Comparison in the League

Team Formations

Estimated Goal Scoring Chance

Recent Matches before the game

H2H Record before the game

In a surprising turn of events in the MLS, Charlotte FC defeated Atlanta United FC 3-2 at Mercedes-Benz Stadium, despite the home side dominating possession with 54.5%. The AI had predicted an Atlanta United FC win, making this result an upset. The game saw goals from Tristan Muyumba and Emmanuel Latte Lath for Atlanta, while Idan Toklomati, Wilfried Zaha, and Pep Biel secured the victory for Charlotte. While Atlanta United had more shots (19 total, 6 on target), Charlotte FC proved more clinical, converting a higher percentage of their chances (8 total shots, 4 on target).
The match was relatively clean, with both teams receiving only one yellow card each. Charlotte committed more fouls (14) compared to Atlanta (9). Atlanta's recent form has been marked by draws, with three consecutive stalemates before this loss, and prior to that, two losses. This game continues that negative trend for Atlanta. Charlotte, on the other hand, is showing strong form, having won their last two games prior to this one, indicating a positive trajectory. The AI model had predicted a balanced game, which ultimately proved true, despite the initial prediction favoring Atlanta.
Analyzing previous head-to-head games, Charlotte has often proven a difficult opponent for Atlanta, especially when playing in Charlotte. Considering Atlanta's recent struggles to secure victories, and Charlotte's improving form, their upcoming matches will be crucial tests of their respective resilience and tactical adaptability within the MLS. The result also confirms the head-to-head trend in the last few matches.