Weekly AI Predictions | Sorare Scores Generated by AI Model

A new AI model trained on over 5,000 Sorare players aims to forecast upcoming scores, generating mixed reactions in the gaming community. The model's recent predictions have sparked discussions about its accuracy and the implications for player selection during the July 4-8 gameweek.

Summary of Recent Performance

The machine learning model, which analyzes historical performances, club strengths, and opponent capabilities, recorded an accuracy of 11.0 points difference from actual scores during the last gameweek (June 27-30, 2025). The standout prediction was for Mamady Diambou of FC Red Bull Salzburg, who met the predicted score exactly.

Who are the Top Contenders?

Here are the top 25 players expected to score high this gameweek:

• Kylian Mbappé (Real Madrid) – 71.9

• Joshua Kimmich (FC Bayern München) – 70.8

• Riqui Puig (LA Galaxy) – 69.3

• Kai Wagner (Philadelphia Union) – 68.1

• Achraf Hakimi (Paris Saint-Germain) – 67.6

• Carles Gil (New England Revolution) – 67.4

• Éder Militão (Real Madrid) – 65.0

• Jude Bellingham (Real Madrid) – 64.8

• Taiyo Koga (Kashiwa Reysol) – 64.8

• Malcom (Al Hilal FC) – 64.7

• Dayot Upamecano (FC Bayern München) – 64.4

• Ousmane Dembélé (Paris Saint-Germain) – 63.3

• Aaron Long (Los Angeles FC) – 63.0

• Evander (FC Cincinnati) – 63.0

• Jonathan Bamba (Chicago Fire FC) – 62.6

• Lionel Messi (Inter Miami CF) – 62.4

• Sho Inagaki (Nagoya Grampus) – 62.4

• Đorđe Petrović (Chelsea FC) – 62.2

• Nuno Mendes (Paris Saint-Germain) – 62.1

• Cristian Roldan (Seattle Sounders FC) – 61.9

• Khvicha Kvaratskhelia (Paris Saint-Germain) – 61.9

• Marquinhos (Paris Saint-Germain) – 61.9

• Milan Škriniar (Paris Saint-Germain) – 61.5

• Tojiro Kubo (Kashiwa Reysol) – 60.9

• Shinnosuke Hatanaka (Cerezo Osaka) – 60.6

User Reactions Express Mixed Feelings

In online discussions, several commentators criticized the model's reliability. One user pointed out inconsistencies, stating that both Riqui Puig and Éder Militão have not participated in games for over six months. The user noted:

"Predictions without context are useless."

Conversely, others praised the analysis, stating, "Love this analysis… Keep it up 👍."

Interestingly, some voiced skepticism about the AI's predictive power. One commenter likened the AI's 11-point prediction accuracy to betting on a lucky number, prompting a sarcastic view of its effectiveness:

"Not so good as AI… or maybe we should call it AHI AHI AHI."

Key Insights

• 🎯 AI model achieved an average score prediction difference of 11 points.

• 🔍 Mixed sentiments: Some express skepticism, others praise the insights.

• 📉 "Predictions without context are useless," a top-comment from a concerned user.

• 👍 Positive responses include enthusiastic support for the forecast analysis.

As more players gear up for the gameweek, the predictions and debates about their validity highlight ongoing challenges in the fantasy sports arena.

Gameweek Unfolding: Insights Ahead

There's a strong chance the AI model will continue to refine its predictions as it gathers more data. However, with a proven accuracy of 11 points off, experts estimate the potential for nuanced predictions could remain limited. As spectators watch the lineup changes closely, the debate on the effectiveness of AI in sports will likely heat up. Players like Kylian Mbappé and Joshua Kimmich are expected to shine based on historical data but may also face unexpected challenges from eager opponents. Ultimately, the gaming community will watch for shifts in performance, which could swing the advice around player selection significantly.

History’s Subtle Echoes

An unexpected parallel can be drawn to the early days of weather forecasting. Just as modern meteorologists grappled with unpredictable patterns, early predictors relied heavily on rudimentary data and instincts. Some predictions garnered skepticism, similar to the current debate around AI in player scoring. Pioneers in forecasting, like John Bartholomew, tackled errors in prediction head-on, only to see trust in their forecasts gradually grow as they improved their methods. This journey reflects the evolving trust in data and technology—echoing the current sentiments surrounding AI in fantasy sports.