IBIA Flags 70 Suspicious Betting Alerts in Q1 2026 as Football and eSports Dominate

by Dimitri Dimitrov Published on April 9, 2026
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ibia flags down websites

The International Betting Integrity Association (IBIA) has released its Q1 integrity report for 2026, revealing a total of 70 suspicious betting alerts across 10 distinct sports.

The data highlights a persistent challenge for the global regulated market, with Europe and North America remaining the primary regions for flagged activity.

Sports Vulnerability: The Big Three

Football, tennis, and eSports continue to be the primary targets for potential manipulation, collectively accounting for more than 80% of all reports. Football led the pack with 25 alerts spanning five continents. Tennis followed with 16 cases, including specific incidents in India, Mexico, and Egypt.

Notably, eSports contributed 15 alerts, a figure that reflects the increasing complexity of monitoring digital-native competitions. Other sports, including volleyball, MMA, and table tennis, recorded smaller but significant numbers of suspicious patterns.

The Brazilian Powerhouse and LatAm Shifts

Brazil remains a critical focus for the IBIA. Between 2021 and 2025, the country recorded 68 alerts, primarily in football. As Brazil transitions into a fully federally licensed market in 2026, its role in global integrity is set to grow.

“Brazil’s betting market is undergoing a major shift following the introduction of federal licensing in 2025. Gross gambling revenue is projected to reach BRL 28.8 billion (US$4.7 billion) by 2030, with licensed operators expected to control more than 80% of the market,” the report noted.

In the wider Latin American region, Brazil is forecast to dominate in 2026, accounting for 39% of total betting revenue, nearly double the share of Mexico.

Dimitri Dimitrov

Dimitri is an iGaming expert with nearly a decade of experience and a knack for crafting content that speaks directly to the iGaming crowd. He understands affiliate marketing, player psychology, and search algorithms, which enables him to write engaging, data-driven articles.

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