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Exclusive Q&A with Jeton Kodia Co-Founder at Oddspedia

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Let’s start with a few words about yourself. Our readers love top executives talking about themselves.

My name is Jeton Kodia and I have been in the gambling business since 2009. I became an iGaming affiliate when I turned my hobby into my profession. Gambling is part of my life – I love betting, casino games, and poker. Additionally, with my first name Jeton, it was somehow destiny that I had to step into this industry. I am addicted to football, and I had to lose quite some bets on my favorite team until I learned that when you want to take betting seriously, you need to refrain from your emotional attachment to a particular team and turn your attention more to comparing the odds. Besides football and pro sports in general, I bet on pretty much anything with my friends. This ranges from prop bets about winning at Playstation games to whether my first child will be a boy or girl. There is always something going on in my life which we can bet on.

Now on to Oddspedia. What led to the founding of Oddspedia?

As I already hinted at before, I wanted to focus more on the odds at sports betting. Therefore, I teamed up with Jan, whom I know since we were 18 years old, and who is equally passionate for sports in general and football in particular. Together, we co-founded our company and website Oddspedia. The main goal of our company is to provide valuable, competitive and user-friendly services for sports betting fans, players and publishers. Since its inception and over the course of several years, Oddspedia established itself as one of the biggest international affiliates in the sports betting world.

Could you elaborate on the cutting edge that Oddspedia possesses? There are other companies that offer similar services. What makes Oddspedia “the number one sports companion” of punters?

The website aims to provide as much value to the user as possible, and the information is conveyed in a manner to ensure a great user experience. It starts with guaranteeing a reliable odds comparison – odds on Oddspedia are being scanned in real-time across more than eighty bookmakers to ensure that only the most up-to-date data is displayed. This is complemented by features not commonly found in competing websites, such as geolocation to show only relevant betting sites for the user, direct links to bookmakers’ betslips, full odds movement history and various betting tools. This is part of what makes Oddspedia one of the best sites for odds comparison. But as a matter of fact Oddspedia offers much more than that. The website has amazing sports coverage as well, providing livescore information on more than 30 different sports. Users can also explore sports statistics, bonuses and promotions, or read the latest news on their favourite leagues, teams and matches. All of this wrapped in an app-like web experience, with quick performance and a state-of-art modern design makes it easy for Oddspedia to stand out from its competitors.

You recently overhauled the Oddspedia website. What are the new features that have become user favorites?

In August Oddspedia had the biggest makeover yet with its relaunch. The new version was in development for more than a year, and enabled the development team to apply new tools and technical innovations that were simply not possible on the old site. Major front-end and back-end changes were done to improve the user experience, and the new UI provides much more natural and polished user flow. To ensure seamless operation, updates regarding back-end software, systems,  processing odds nodes, and new integrations are introduced almost on a day-to-day basis.

You have also launched widgets for webmasters and digital publishers which help them monetize their website through affiliate marketing? Tell us more about the widgets and process of monetizing.

One of the main issues from editors, publishers and affiliates is providing real time data to their customers. Is extremely hard to find a proper way to do it. The Oddspedia Widgets fill the gap between the sports data feeds and the operators.

For editors, the Oddspedia Widgets have been developed as a real “all-in one” solution. These tools can be implemented into any site by simply pasting their code, providing that site’s users with real time odds data. Publishers can benefit from the live information by not only providing their users an odds comparison widget for free, but they can include their affiliate link to the respective bookmaker. Clicks are simply shared on a 50/50 basis. The way the split works is that the widgets rotate with two links, one for the publisher and the other for Oddspedia which will be applied with equal chance.

 Publishers will get real time sports data without any cost for them, at same time they offer that to their customers and readers.

The Covid-19 pandemic has affected the betting and gambling companies, especially the traditional forms of betting and gambling. It is not yet done yet. How have the lock-down and social distancing measures affected your business?

In every crisis there’s an opportunity. The coronavirus outbreak has had a devastating impact all over the world and on our daily lives, with many businesses in almost every industry feeling the pinch. That’s no different with the gambling industry, as most major sports were suspended in the first lockdown during spring time.

At Oddspedia we expected that the interest in sports will even grow bigger in times of social distancing and isolation. But with the vast majority of sports canceled we had to find a way to react to the situation. We focused on increasing our sports portfolio and cover almost any event going on worldwide. As crazy as it sounds, the matches from a Table Tennis tournament in Russia were checked over a million times on Oddspedia.

There are still positives that can emerge from the pandemic, with virtual sports and esports being one of them. Virtual Sports truly boomed in interest. Esports betting is a vertical in the industry that was already rising in popularity before the outbreak. But now, it’s well on its way to establish itself as a major offering for operators and affiliates, which is set to continue even after we come out the other side of virus lockdowns.

It has been seven years since Oddspedia was launched. Most of these times, you focused mainly on Europe, especially the German-speaking countries. You are now venturing in to South America. How has the user response so far from the Latin American countries, who certainly love their football? Any plans to start operations in Asia?

Our entry into the South American market has been very successful. The audience there is extremely passionate about sports and betting, and they show a great demand for our product. Of course, we provide local users with well-targeted information from local bookies in their native language. We began with the integration of Spanish and Portuguese languages for our product, then we structured our content to be as engaging as possible for local users. It’s no secret, that for users from Brazil, as well as for other Latin American countries, football is the most popular sport. So when entering our website, we meet users with the most interesting football matches from their local leagues. These are shown first and then followed by popular worldwide championships.

This personalized approach is very successful and we have good and stable traffic coming from these countries

Several Asian countries, like Japan for example, are very interesting for oddspedia, as well. However, we deem it highly important to find the right partner when entering a country like that. It is crucial to have the right partner who is fond of the language, can translate and adapt to the correct betting terminology, and possesses local SEO knowledge. We envision to grant sublicenses for oddspedia if the right company to partner with comes knocking on our door.

The technology is moving at an unimaginably high speed. How do you think artificial intelligence and machine learning would impact the betting industry, and specifically the odds comparison

Automation based on machine learning has been key within ecommerce for years and the igaming industry should apply insights gained in other sectors. Offering a personal user experience in a responsible environment comes from understanding and catering to each individual player’s needs from an entertainment point of view. AI is a type of software or hardware that learns – and it could be programmed to learn mostly about users and their behavior and utilize those insights to drive the developments of new, hyper-personalised gaming and internet betting experiences. The technology is being applied to learn our habits, our likes, and our relationship patterns. Online gaming is an industry that runs on data, such as results, stakes, percentages, odds, stats, and so on. All of these numbers are constantly crunched, calculated and analysed behind every major gaming platform. For this reason, ML is actually playing a growing influential role in the sector, changing the game for both online gaming businesses and their players

Finally, what would be your key advises to any new entrepreneurs starting something new in the gambling industry or affiliate marketing sector?

Don’t start something just on your own if you are a newbie. First, dip your foot in the water and gain some experience in the industry. I would recommend starting with a job at a bigger affiliate company or in affiliate marketing at an operator. If you are smart, you can learn a lot quickly and avoid a bunch of costly mistakes you might have made otherwise. In the next step, you can try out your own ideas. By then, you already have a sound understanding of the industry, which allows you to make even better products right from the beginning and the timeframe until you are able to realize a return on your investment is likely to be much shorter, as well.

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Una decisión inequívoca para los mercados predictivos en Brasil

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La Resolución 5.298 del Consejo Monetario Nacional de Brasil establece un límite regulatorio claro para los mercados de predicción como Polymarket y Kalshi.

En este análisis, Carlos Akira Sato examina cómo la medida refleja un cambio profundo en la arquitectura financiera de Brasil, redefiniendo qué califica como un instrumento financiero legítimo y estableciendo límites a la financiarización de eventos no económicos.

Carlos Akira Sato es cofundador de Fenynx Digital Assets y especialista en mercados regulados, infraestructura financiera y juego responsable.

En este artículo de opinión, argumenta que la Resolución 5.298 de Brasil no se trata tanto de prohibir Polymarket y Kalshi, sino de definir los límites de la próxima generación del sistema financiero.

La publicación de la Resolución nº 5.298 del Consejo Monetario Nacional establece, de forma inequívoca, un nuevo límite para la actuación de plataformas como Polymarket y Kalshi en el país. La conclusión es directa: estos modelos dejan de encontrar espacio regulatorio en Brasil. Pero la relevancia de la decisión no reside en la prohibición en sí, sino en lo que revela sobre el futuro de la arquitectura financiera.

La Resolución 5.298 no aborda explícitamente los mercados predictivos. Actúa en un plano más profundo, al redefinir qué puede considerarse un instrumento financiero legítimo.

Al exigir que los contratos estén vinculados a variables económicas con formación objetiva de precios, el regulador elimina la posibilidad de estructurar instrumentos —por sofisticados que parezcan— basados en eventos políticos, sociales o conductuales. No se trata de un ajuste periférico, sino de un reposicionamiento conceptual.

Durante años, plataformas como Polymarket y Kalshi prosperaron precisamente en la ambigüedad. No son casas de apuestas tradicionales ni encajan completamente como bolsas de derivados.

Operan en un territorio intermedio: contratos basados en probabilidades, lenguaje financiero y una promesa implícita de descubrimiento eficiente de precios sobre el futuro. Esa zona gris siempre fue su principal activo y también su mayor riesgo regulatorio. Lo que Brasil ha hecho ahora es eliminarla.

El punto más sofisticado de la resolución está en su diseño. El Consejo Monetario Nacional no atacó la tecnología, ni el formato de las plataformas, ni su ubicación. Atacó la esencia: la naturaleza del riesgo negociado.

Al hacerlo, volvió irrelevante si la operación se realiza mediante contratos bilaterales, plataformas offshore o protocolos basados en blockchain. Si el riesgo no es económico, el contrato no es admisible. Es una forma de regulación que privilegia la sustancia sobre la forma y que, por ello, tiende a ser más resiliente.

Esta decisión proyecta efectos más allá del debate sobre apuestas. Dialoga directamente con la discusión sobre tokenización y con la idea, ampliamente difundida en los últimos años, de que cualquier evento podría convertirse en un activo digital.

Brasil señala lo contrario: la innovación es bienvenida, pero no ilimitada. La tokenización encuentra legitimidad cuando está anclada en la economía real —crédito, cuentas por cobrar, activos productivos— y la pierde cuando intenta capturar comportamientos, opiniones o eventos sociales como base de negociación.

Es en este punto donde la resolución también revela una tensión institucional. El propio texto normativo asigna a la CVM la responsabilidad de emitir regulación complementaria. La elección es jurídicamente comprensible, pero institucionalmente discutible.

Si el propio diagnóstico del regulador reconoce que se trata de instrumentos híbridos —que transitan entre derivados, valores mobiliarios y estructuras de captación—, la ausencia de una iniciativa conjunta desde el inicio resulta llamativa. La opción de una regulación secuencial, con el CMN estableciendo directrices y la CVM detallando la normativa, introduce un desfase que puede reabrir temporalmente la misma zona gris que se busca cerrar.

La paradoja es evidente. La resolución es sofisticada al atacar la esencia económica de los contratos, pero fragmenta la ejecución regulatoria al distribuir competencias de forma no simultánea.

En un entorno donde la innovación financiera ocurre en la intersección de distintos regímenes —bancario, mercado de capitales y, en ciertos casos, apuestas—, la coordinación deja de ser deseable para convertirse en necesaria. La falta de sincronía puede generar interpretaciones divergentes, inseguridad jurídica y, sobre todo, oportunidades residuales de arbitraje.

Aun así, el núcleo de la decisión permanece sólido. Al restringir lo que puede considerarse un activo financiero, Brasil establece un límite silencioso pero poderoso a la financiarización de la realidad. No todo evento puede convertirse en un contrato. No toda expectativa puede convertirse en un precio. Y no todo lo que puede tokenizarse debe necesariamente negociarse.

Decir que Polymarket y Kalshi no pueden operar en Brasil es, por tanto, correcto. Pero es solo la superficie. Lo que está en juego es la definición de las fronteras de la próxima generación del sistema financiero.

Un sistema que seguirá incorporando tecnología e innovación, pero que, al menos en el caso brasileño, permanecerá anclado en la economía real. Y en ese proceso, la calidad de la coordinación entre reguladores será tan determinante como la claridad de las propias reglas.

Carlos Akira Sato – Cofundador de Fenynx Digital Assets. Especialista en mercados regulados, infraestructura financiera, gobernanza, innovación y juego responsable.

The post Una decisión inequívoca para los mercados predictivos en Brasil appeared first on Americas iGaming & Sports Betting News.

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An unequivocal decision for prediction markets in Brazil

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 Brazil’s National Monetary Council Resolution 5.298 marks a clear regulatory boundary for prediction markets such as Polymarket and Kalshi.

In this analysis, Carlos Akira Sato examines how the measure reflects a deeper shift in Brazil’s financial architecture, redefining what qualifies as a legitimate financial instrument and setting limits on the financialisation of non-economic events.

Carlos Akira Sato is co-founder of Fenynx Digital Assets and a specialist in regulated markets, financial infrastructure and responsible gambling.

In this op-ed, he argues that Brazil’s Resolution 5.298 is less about banning Polymarket and Kalshi than about defining the boundaries of the next generation of the financial system.

Brazil’s National Monetary Council Resolution 5.298 sets an unambiguous limit for platforms such as Polymarket and Kalshi in the country. The conclusion is straightforward: these models no longer find regulatory space in Brazil. But the significance of the decision lies not in the prohibition itself,  it lies in what it reveals about the future of financial architecture.

Resolution 5.298 does not explicitly address prediction markets. It operates at a deeper level, redefining what can be considered a legitimate financial instrument. By requiring that contracts be tied to economic variables with objective price formation, the regulator eliminates the possibility of structuring instruments, however sophisticated in appearance, based on political, social or behavioural events. This is not a peripheral adjustment. It is a conceptual repositioning.

For years, platforms like Polymarket and Kalshi thrived precisely on ambiguity. They are not traditional bookmakers, nor do they fit neatly as derivatives exchanges. They operate in an intermediate territory,  contracts based on probabilities, financial language and an implicit promise of efficient price discovery about the future. That grey zone was always their main asset, and their greatest regulatory risk. What Brazil has now done is eliminate it.

The most sophisticated aspect of the resolution lies in its design. The CMN did not target the technology, the format of the platforms, or their location. It targeted the essence: the nature of the risk being traded. In doing so, it made irrelevant whether the operation occurs through bilateral contracts, offshore platforms or blockchain-based protocols. If the risk is not economic, the contract is not admissible. It is a form of regulation that privileges substance over form — and is, for that reason, likely to prove more resilient.

This decision projects effects well beyond the gambling debate. It speaks directly to the discussion around tokenisation and the widely held idea in recent years that any event could be converted into a digital asset. Brazil signals the opposite. Innovation is welcome, but not unlimited. Tokenisation finds legitimacy when anchored in the real economy, credit, receivables, productive assets, and loses it when it attempts to capture behaviour, opinion or social events as the basis for trading.

It is at this point that the resolution also reveals an institutional tension. The normative text itself assigns to the CVM the responsibility of issuing complementary regulation. The choice is legally understandable, but institutionally questionable.

If the regulator’s own diagnosis recognises that these are hybrid instruments, moving between derivatives, securities and fundraising structures, the absence of a joint initiative from the outset is notable. The option for sequential regulation, with the CMN setting guidelines and the CVM filling in the detail, introduces a lag that may temporarily reopen the very grey zone it intends to close.

The paradox is evident. The resolution is sophisticated in attacking the economic essence of contracts, but fragments regulatory execution by distributing competencies non-simultaneously.

In an environment where financial innovation occurs at the intersection of different regimes, banking, capital markets and, in certain cases, gambling, coordination ceases to be desirable and becomes necessary. The lack of synchrony may generate divergent interpretations, legal uncertainty and, above all, residual arbitrage opportunities.

Even so, the core of the decision remains solid. By restricting what can be considered a financial asset, Brazil establishes a silent but powerful limit on the financialisation of reality. Not every event can be turned into a contract. Not every expectation can be converted into a price. And not everything that can be tokenised should necessarily be traded.

To say that Polymarket and Kalshi cannot operate in Brazil is therefore correct, but it is only the surface. What is at stake is the definition of boundaries for the next generation of the financial system. A system that will continue to incorporate technology and innovation, but that, at least in the Brazilian case, will remain anchored in the real economy. And in that process, the quality of coordination between regulators will be as decisive as the clarity of the rules themselves.

Carlos Akira Sato is co-founder of Fenynx Digital Assets and a specialist in regulated markets, financial infrastructure and responsible gambling. In this op-ed, he argues that Brazil’s Resolution 5.298 is less about banning Polymarket and Kalshi than about defining the boundaries of the next generation of the financial system.

The post An unequivocal decision for prediction markets in Brazil appeared first on Americas iGaming & Sports Betting News.

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Kanggiten: From B2C Insight to B2B Performance in iGaming

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As TechXperience Stage Sponsor of HIPTHER Baltics: Riga 2026, Kanggiten brings its performance-focused platform and operational expertise to the heart of the event’s technology discussions. We spoke with Ivan Korkin, Head of Account Management at Kanggiten, about translating B2C experience into scalable B2B solutions and driving measurable growth in today’s iGaming landscape.

 

How would you position Kanggiten today, and what core value does your platform deliver to partners?

– Kanggiten today is a modular iGaming platform built specifically for teams that operate on the B2C side. The core idea behind the product is simple: we take over 10 years of real operational experience and translate it into technology that helps partners turn traffic into measurable revenue.

From a technical perspective, the platform combines all key elements: casino and sportsbook engines, aggregation, payments, analytics, CRM, and affiliate management – within a single ecosystem. This allows operators to manage the entire lifecycle without fragmentation.

Another important aspect is adaptability. The platform is designed to support multi-geo operations, including local payment methods, currencies, and compliance requirements, which is critical for performance in different markets.

In terms of collaboration, we provide flexible models – from white label setups for fast market entry within a few weeks, to more customized turnkey solutions depending on the scale and maturity of the project.

 

What are your next steps for scaling the business and strengthening Kanggiten’s market position?

– Our current focus is split between product evolution and business expansion.

On the product side, we are actively developing new capabilities, including predictive tools that will help marketing teams make more informed decisions based on data patterns inside the platform.

At the same time, we are scaling commercially. We’re onboarding new clients, launching additional brands, and expanding into new markets. 2026 is already showing strong momentum, especially as our visibility in the market has increased and inbound demand continues to grow.

So in practical terms, our priorities are clear: expand geographically, grow the number of active brands on the platform, and continue investing in product development.

 

How has your experience with end users shaped your B2B approach, and how is this reflected in your product and results? Could you share an example?

– Our B2C background fundamentally defines how we approach product development. We don’t build features based on assumptions – everything is tested and validated through real user behavior.

There are several areas where this is especially visible.

First is retention. Today, sustainable growth is driven more by retention than by acquisition. That’s why we focus heavily on onboarding flows, CRM logic, bonus structures, and reactivation strategies. Retention is not a standalone tool – it’s a system built on continuous testing and data analysis.

Second is segmentation. Personalization only works when it’s built on meaningful segmentation. We test different traffic groups, analyze behavioral patterns, and create tailored scenarios for each segment. This directly impacts monetization efficiency.

Third is the use of AI. At this stage, AI is no longer experimental – it’s embedded into operations. We apply it in fraud prevention, KYC, content generation, and support automation to improve both efficiency and decision-making.

And finally, distribution channels. We work across a wide range of touchpoints, which allows operators to engage users in different environments and adapt quickly when market conditions change.

If we look at a practical example, GEO-specific behavior plays a critical role. In Turkey, even small UI details like how percentage values are displayed can influence conversion.

In LATAM, on the other hand, fraud patterns are more prominent, so we implement additional AI-driven verification layers. These insights are transferable  once validated in one market, they can be applied in others with similar characteristics.

 

What challenges do operators and affiliates most often face after working with other platforms, where do they typically lose revenue or users, and how do you address these issues?

– In most cases, the issues are not unique – they repeat across different operators and platforms.

One of the main gaps is conversion management. Many platforms generate traffic but lack the tools to properly analyze and optimize the funnel. Without clear visibility into user behavior, improving conversion becomes difficult.

Another area is engagement. Gamification is often either too basic or requires additional development. In practice, it should be a core part of the platform, not an add-on, because it directly impacts retention and revenue.

Scalability is also a frequent issue. Platforms may perform well at a smaller scale but struggle under higher load. Without real operational experience, these limitations often appear too late. Our approach combines stable infrastructure with continuous adaptation, allowing us to maintain performance under growth.

Retention is another critical point. It doesn’t happen automatically – it needs to be engineered through segmentation, personalized communication, and ongoing experimentation. This is where our B2C experience plays a key role.

If we break it down further, operators typically lose performance in four areas:

conversion inefficiencies, lack of GEO adaptation, technical limitations, and slow time-to-market.

We address these by building the platform as a flexible system that evolves continuously rather than a static product.

 

What factors have the greatest impact on growth and conversion today, and how do you see these evolving in 2026–2027?

– One of the main drivers will be hyper-personalization. Platforms will increasingly adapt in real time to individual user behavior, shaping unique experiences for each session.

At the same time, market expansion will continue to fuel growth. New regions and emerging markets will open additional opportunities for operators, along with new approaches to acquisition and engagement.

Another major shift will come from automation. Operational processes will become increasingly automated, reducing manual workload and improving efficiency.

This will be driven not only by AI in general, but by more advanced, agent-based systems that can handle tasks such as content generation, customer interaction, and fraud detection with minimal human involvement.

Overall, the direction is clear: more data-driven decision-making, more automation, and more adaptive user experiences.

The post Kanggiten: From B2C Insight to B2B Performance in iGaming appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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