Flashscore Moves Six More Leagues to Human-Edited Predicted Line-Ups

Flashscore will transfer six football competitions from its automated to human-edited predicted line-up system for the coming season. The company attributes this move to growing fan demand for more accurate team news and internal benchmarks suggesting its model outperforms key rivals in line-up accuracy across major European leagues.

Flashscore Shifts Predicted Line-Ups Towards Manual Oversight

The core change, announced ahead of the 2026/27 season, sees six leagues—Liga Profesional (Argentina), Serie B and Paulista (Brazil), Liga Portugal (Portugal), Süper Lig (Turkey), and Major League Soccer (USA)—shift from Flashscore's automatic system to manual mode. In manual mode, editors review and adjust predicted line-ups generated by automated calculations before they are published. Flashscore applies this approach to top European leagues and all international tournaments, reserving automatic mode for lower-profile competitions, where line-ups are posted algorithmically unless the system cannot confidently assign a position.

The company claims this policy change is intended to "improve accuracy in key markets as fan demand for pre-match team news grows." Over 500 predicted line-ups are now published weekly on the platform, with more than 60% concentrated during weekends.

Line-Up Accuracy: Flashscore’s Internal Benchmarking Data

Flashscore provided comparative figures covering the 2025/26 football season. Across Europe's top competitions—the Premier League, La Liga, Bundesliga, Serie A, Ligue 1, and the UEFA Champions League—Flashscore reported an average of 1.67 incorrect players per predicted line-up. By its own benchmarking, the next best competitor averaged 1.98, while "others" in its peer group ranged between 2.01 and 2.17 incorrect players per line-up. The company framed these figures as evidence of its model's relative precision, though did not identify competitors by name.

Tomáš Pondělík, Flashscore's Chief Product Officer, stated:

"The system is built on a set of well-tested rules and calculations. It's not just about who played last week – we look at recent form, availability, and tactical patterns. The goal is always to give the user the most probable starting eleven based on the information we have at any given moment." —Tomáš Pondělík, Chief Product Officer, Flashscore

How the Predicted Line-Ups System Works

Flashscore's approach is a blend of algorithmic processing and editorial intervention. The underpinning model operates using a "player coefficient" calculated from:

• Recent minutes played
• Performance ratings
• Injury and suspension status
• Preferred formation

Constraints further require that a player must have started in a specific position within the last six months to qualify for prediction in that role. For lower-profile competitions, automatic mode remains in place—line-ups are published without editor review unless the system flags uncertainty. In contrast, all international competitions are reviewed exclusively via manual mode.

Fan Engagement Figures and Market Priorities

The 2025/26 Premier League season delivered Flashscore's highest fan engagement metrics:

• 7.14 billion match detail views on Flashscore platforms between July 2025 and May 2026
• Individual matches reached "up to six million users" on average; peak events exceeded ten million
• The Manchester City vs Arsenal fixture in April 2026 attracted "over 11 million users and more than 41 million views"

The company did not disclose comparable engagement figures for the six competitions newly added to manual oversight but emphasised the shift targets leagues with significant or rising demand for line-up accuracy in core territories. For a broader look at evolving sports data and fan engagement trends, Flashscore aligns the move with a wider sector emphasis on pre-match content quality.

What This Means for Sportsbook Operators and Platforms

For sportsbook operators integrating external data, heightened accuracy in predicted line-ups can affect trading models, content reliability, and customer trust. With Flashscore now manually curating teams for additional leagues, operators can expect a reduced error margin compared to fully automated feeds, at least within the stated markets. Platform vendors partnering with Flashscore will see these manual modes reflected in their data delivery cycles, though no adjustments to API endpoints or pricing structures have been announced.

Flashscore maintains weekly volume at roughly 500 published predicted line-ups, now with a larger proportion subject to human review. As manual curation expands, the company may audit resource allocation and reviewer training—issues of operational scale as demand for accurate team news continues to spread across new markets. Further details are expected as the 2026/27 season commences.