Flashscore Expands Manual Oversight on Predicted Lineups for New Leagues

Flashscore announced the transfer of six new competitions to the manual oversight mode of predicted lineups before the start of the upcoming season. The central goal of this change is to minimize errors in key leagues, where demand for information on starting lineups has significantly increased among fans and operators.

Flashscore and Accuracy in Predicted Lineups

During the 2025/26 season, Flashscore averaged 1.67 incorrect players per predicted lineup in the major European competitions, according to the company’s internal data. In comparison, the company places its “next closest competitor” at 1.98 incorrect players, with other automatic systems ranging between 2.01 and 2.17. Flashscore's Product Officer, Tomáš Pondělík, clarifies how the prediction is calculated:

"We do not only analyze who played last week; the formula integrates form status, availability, and tactical schemes. The goal is always to provide the user with the most likely starting eleven based on the available information,” — Tomáš Pondělík, Chief Product Officer at Flashscore

The standard of accuracy pursued has led the platform to increase human editing in high-volume markets, impacting both user experience and partner and operator confidence.

Prediction Methods: Manual vs Automatic

Flashscore employs two methodologies to publish predicted lineups:

• Manual Mode: An editor reviews and modifies the proposed eleven from the automatic system before publishing. All major European leagues and international tournaments are managed solely under this mode.
• Automatic Mode: Used for minor competitions, the system automatically publishes lineups and notifies the editor only if it cannot assign a player to a position with the required confidence.

According to Pondělík, the central calculation utilizes a “player coefficient” that weighs recent minutes, performance ratings, injuries, and suspensions, along with the preferred formation. An important criterion is that a player can only appear as a starter if they have started in that position at least once in the last six months.

Expansion of Manual Mode: Six New Leagues Added

Looking ahead to the upcoming season, Flashscore will add six more championships under manual editing:

• Liga Profesional (Argentina)
• Serie B and Campeonato Paulista (Brazil)
• Liga Portugal Betclic (Portugal)
• Süper Lig (Turkey)
• Major League Soccer (USA)

This step aims to narrow the margin of error in markets that, although not the largest in Europe, show high consumption and generate potential traffic for both fans and sports betting platforms.

Flashscore claims to publish about 500 predicted lineups weekly, concentrating over 60% of that volume on weekends.

Traffic and Engagement: Key Data from the Premier League

Flashscore shared aggregated usage figures for the Premier League during the 2025/26 season, highlighting the growth in fan engagement. Between July 2025 and May 2026, the company recorded 7.14 billion views of Premier League match details across all its platforms.

Individual matches reached averages of up to six million users, and during moments of high interest—such as the Manchester City vs Arsenal match in April—over 11 million users and 41 million views were recorded. These audiences reinforce the value of improving the accuracy and timeliness of pre-match information, both at the end-user level and for B2B markets and betting houses.

Technical and Commercial Impact on the B2B Sector

The change involves adjustments in internal workflows, with greater emphasis on editorial review and more planning in the company's weekly workload. For operators and providers in the B2B environment, greater accuracy in predicted lineups means fewer errors in player-based betting markets and formations, as well as reduced exposure to claims or live recalibrations.

Flashscore's approach, more conservative than other 100% automatic systems, prioritizes user trust and information consistency. However, the difference in “error coefficient” remains compared to competitors, which could influence future data distribution agreements and the generation of customized feeds for casinos and betting houses.