Latest News
Rolling In It: Most Profitable Racehorse
- Leading race horses earned £126,093 on average per minute in 2020
- Top 20 earning thoroughbreds took just 11.05 minutes to surpass the £1 million-mark last year
- Arrogate remains the all-time leading earner with £12,718,498.00 prize money, or £635,924.90 per minute
- 2020’s top 20 horses passed the £1million-barrier 65.42% quicker than sport’s top earning athletes
- Authentic picked up £402,623.08 for every 60 seconds raced last year, more than Cristiano Ronaldo (£18,782.16) and Lionel Messi (£19,926.51)
Horse racing’s class of 2020 pocketed £126,093.67 per minute of action, a new study into the value of racehorses has revealed.
The top 20 earning racehorses last year took 11.05 minutes of racing, on average, to break the £1 million-barrier, 59.56% quicker than global sports’ top earning athletes, across the same 12-month period.
However American great Arrogate still tops the all-time charts, having banked £1 million for every 1.57 minutes raced.
Exactly half of last year’s leading thoroughbreds pocketed six-figure sums for a mere 60 seconds’ work, according to OLBG’s Most Profitable Racehorse report.
Arrogate, bought by Juddmonte Farm for a meagre £408,000.00, landed three of the planet’s richest races within the space of four months, amassing as yet insurmountable career earnings of £12,718,498.00; £462,490.84 per minute on the dirt. The Breeders’ Cup Classic netted his camp £2.24 million, the Pegasus World Cup £5.69m and the Dubai World Cup £4.88m.
The Bob Baffert-trained phenom won on seven occasions in total, earning more than his keep in just 20 minutes.
That ‘time to £1 million’ figure dropped to 5.66 minutes, when you assess the financial vitals of the top 20 earning racehorses of all time. This elite group earned an aggregated £160,446,327.70 across collective careers comprising 229 starts, and a win percentage of 52, to boot.
The stats for the class of 2020 are quite remarkable too, with a combined 69 wins from 117 starts; landing each of their respective owners a sizable share of £23,847,336.32.
There are some exceptionally wealthy racehorses out there, or there would be if they got to keep the cash.
Recently retired Authentic, the sport’s top earner in 2020, added a further £402,623.08 to his owners’ coffers for every single minute he ran.
Winner of the 2020 Kentucky Derby and Breeders’ Cup Classic, setting a new track record at Keeneland in the latter, he took home a cool £5,234,100.00, in just seven starts and recently began his stud career in central Kentucky, having retired last November.
That comes against the backdrop of prize purses for the top 10 most expensive horse races on the planet surpassing the £50 million-mark for the first time in 2020, the collective fund up 28.74% year-on-year.
Disappointingly, but understandably due to the pandemic, the cumulative total prize money available for the 489 races staged across the world last year finished at £322,187,199.00, down 19.09% from 2019 (£398,218,061.00), with the available funds in Europe taking the biggest hit, falling by a jaw-dropping 58.82% year-on-year.
Across the rest of the sporting world, Cristiano Ronaldo, who plys his trade in Serie A for Juventus, cleared £76,650,000.00 through salary, bonuses and endorsements in 2020, banking £18,782.16 per minute in the 2019-20 season, 60.08% less than 18th-ranked horse Mr Freeze (£34,911.89).
Footballers Messi (£19,926.51) Neymar (£29,218.36), Basketball’s Le Bron James (£27,774.14) and F1’s Lewis Hamilton (£26,384.38) also failed to trouble Mr Freeze, purchased in 2016 for £54,750, in the earnings per minute stakes, based on 2020 income.
Tyson Fury meanwhile was the most lucrative earner. Despite fighting just once last year he averaged £2,117,557.25 per minute – 248% more than the next highest earner which was Irish racehorse Tarnawa, who also only competed once.
Commenting on the findings, OLBG’s Richard Moffat said: “We’ve always known about the huge sums of money involved in racing horses, both on the betting exchanges and the business side of it too, but to see the figures in black and white and compare what racehorses earned versus sport stars really does make you sit up and take notice.
“It’s the fine margins between winning and losing, and the colossal financial incentives on offer, that add to the drama and intrigue of the sport. It also gives you a feel for why major bloodstock operations such as Godolphin, Zayat, Juddmonte, to name but a few, exist and take the creation of future leading thoroughbreds so seriously.
“When you microanalyse it to the point where Authentic earned £402,623.08 for every 60 seconds’ work in 2020, the lucrativeness of the sport is plain to see.”
Powered by WPeMatico
Canada
XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE
Global Video Game Commerce Company To Support Industry Growth Through Panels, Workshops, And Community Engagement Across Atlantic Canada
Xsolla, a leading global video game commerce company, today announced its participation in two major gaming industry events taking place across Atlantic Canada from June 3-5, 2026, reinforcing the company’s commitment to supporting regional game development ecosystems and fostering industry collaboration.
Xsolla will participate in both Game Invest East and XP Game Connect Atlantic, joining developers, publishers, investors, and industry leaders for discussions centered on the future of game development, investment, and innovation in the local area.
At Game Invest East, held in partnership with Scaffold, Xsolla will contribute to conversations around funding, growth opportunities, and the evolving business landscape for game studios.
Featured on the panel titled “If You Can Make It Here,” Xsolla’s Manny Hachey, Senior Director of Developer Success, joins Kate Edwards, CEO and Principal Consultant of Geogrify, and Amir Satvat, Business Development Director at Tencent Games, founder of Always Supporting the Games Community (ASGC), and a 2026 GamesBeat Visionary Award honoree, to explore how new regions and new entrants can survive and thrive in disruptive times.
Hachey, a native of Atlantic Canada, was personally requested by Scaffold to represent Xsolla at the event — a homecoming that adds a personal dimension to the panel’s central thesis. Having built her career and made her mark in Germany’s games industry, she returns with a firsthand perspective on what it takes to leave, build something meaningful abroad, and come back with proof of concept.
Xsolla will continue its Atlantic Canada engagement at XP Game Connect Atlantic in Halifax on June 5. John Nguyen, Regional Vice President, Canada at Xsolla, and Ted DiNola, Developer Evangelist at Xsolla, will host a workshop titled ‘Full Picture to Fast Lane: Xsolla Ecosystem Overview & Live SDK 3 Integration’, providing practical insights and actionable strategies for developers navigating today’s rapidly evolving gaming market.
Nguyen will also host a panel titled, ‘What Does the Future of Game Development Look Like in Atlantic Canada?’ where he will be joined by industry experts, including Ryan Filsinger from Iron Fox; Shawn Woods, CEO at Alpha Dog and VP of Interactive Society of Nova Scotia; George Greer, Founder of Besszong; and Jade Yhap, President of Interactive NB. The panel will explore the region’s growing role in the global games industry and the opportunities ahead for studios, talent, and ecosystem partners.
“Atlantic Canada continues to emerge as an exciting hub for game development talent and innovation,” said John Nguyen, Regional Vice President, Canada, at Xsolla. “Xsolla is proud to support these events and contribute to conversations that help empower developers, build ecosystems, strengthen industry connections, and accelerate growth across the region.”
“Events like Game Invest East and XP Game Connect Atlantic are critical for building stronger connections across the games industry,” said Berkley Egenes, Chief Marketing & Growth Officer at Xsolla. “Atlantic Canada has a growing community of talented developers, creators, and industry leaders, and we’re excited to be part of conversations that help to shape the future of gaming in the region while supporting studios at every stage of growth.”
Through its participation in these events, Xsolla aims to deepen relationships within the Atlantic Canadian game development community while supporting knowledge-sharing, collaboration, and long-term ecosystem growth.
For more information about Xsolla’s participation in these events across Atlantic Canada, visit: xsolla.pro/Atlantic-Canada
The post XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE appeared first on Americas iGaming & Sports Betting News.
ai-tools
SEON adds MCP server and new AI tools for fraud and AML teams Subheadline
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
The post SEON adds MCP server and new AI tools for fraud and AML teams Subheadline appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data. All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate. It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder and AI Playbook are available now to SEON customers.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
-
Brasil5 days agoPara Sportradar, Copa do Mundo 2026 deve redefinir estratégias de aquisição e engajamento nas apostas esportivas
-
Blueprint Gaming7 days agoBlueprint Gaming announces The Goonies Quest for Treasure 3 slot
-
Booming Games7 days agoBooming Games launches Way of the Wolf: Hold and Win Extreme 10,000 slot
-
Africa7 days agoBede Gaming’s Latest Sunbet Expansion Delivers iGaming Platform to Namibia
-
Coljuegos7 days agoColjuegos Authorizes MrYoker as Colombia’s Newest iGaming Operator
-
Amusnet7 days agoMonte Casino Sofia Elevates its Premium Gaming Floor with Amusnet’s Type S32
-
Belatra6 days agoWeekend Reels | Week 22: Slot Drops & Trends
-
Anatel5 days agoBrazil betting regulation: new advertising restrictions & AML rules



.png)
.jpg)
