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Replai’s one-click AI solution to produce and share automatic highlights from gaming live streams seeks to unlock the ability to create exciting content to anyone

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The short video creating platform invites all gamers and gaming companies to claim their free “personal AI Highlights Producer”.
What if any gamer who streams could create immediate highlights from their livestreams and feed their social channels with the best and most captivating moments of their playthroughs? While this sort of capacity is typically available only to the resources of established streamers, companies and esports teams with the help of experienced media teams, Replai is offering a solution to passionate content creators who balance their streaming with jobs, families and day-to-day life looking to grow their follower base through their AI-based automated highlight creator platform.
Replai is a real-time content production platform that offers massive time and cost savings by rapidly creating high-quality video highlights from thousands of hours of live streams, streamlining all the needed editing, clipping, rendering and sharing of video in just 3% of the time. Following a successful funding round in June, Replai has been quickly expanding its user base: “In September, Replai users produced over 15 000 highlights from around one million hours of streams processed. We estimate that these served an audience of around 11 000 000 people in social channels”, explains Diogo Pereira, director of marketing and community for Replai. “Only recently we opened the access to Replai beyond our previous enterprise-exclusive level as we’ve seen the massive demand for a solution like this from end users.”, he adds. Irina Pencheva, Head of Social at SK Gaming, testifies to such efficiency: “The projects I created with Replai are definitely something that helps the team’s operation to release content as games are happening”.
Replai was born from the context of increasing importance of community content as a powerful marketing strategy for brands in gaming, together with the rise of short-video platforms like Tik Tok. After partnering with major companies across the globe like PUBG, SK Gaming or GamersClub to help them automate content creation, the team witnessed a rapid demand from everyday streamers. “Replai can be an absolute game changer for millions of streamers who don’t have the time, resources or money to scale content as they struggle to balance streaming with their life”, João Costa, Replai CEO, explains. “We help them save their time editing highlights dramatically. Replai enables them to do in one minute what took at least one hour.”
Such usage comes from all types of streamers, from those with thousands of followers to aspirational ones who want to grow their channels by stimulating the virality of their content. “It’s been fantastic to witness the enthusiasm of the community.”, Diogo says. “We think of our Discord as a place to celebrate live streaming, where our users and ambassadors come together to exchange ideas, tips, and play together”. Nikolarn is one of such streamers that at around half a million followers who found Replai to unlock potential for all types of content creators: “Short-video content is essential for me to keep my viewer base engaged and growing across all of my social outlets. It’s next to impossible being efficient in producing that type of content daily, especially after long streaming sessions. Replai solves a major bottleneck for professional streamers, and as such the impact is even bigger for streamers who don’t have dedicated staff at their disposal or simply lack the editing skills or time to produce that type of content.”
What’s next for Replai? “We keep expanding our strategic partners in the industry, but we have a strong belief in the importance and improvement of our streamer community.” Diogo adds . “We’ve seen an unbelievable adoption of Replai from every type of streamers: from firefighters who stream in-between emergency calls, to VR-enthusiasts who are conquering new audiences. That excitement fuels our ambition to make Replai a platform that every streamer in the planet will want to use. We want to put Replai in the hands of every streamer who wants to create more exciting content but doesn’t have the time or resources to do it.
“We invite everyone to try Replai for themselves – all it takes is a sign-up and inserting a stream URL – and become a part of our community.” The team is also committed to improving the product continuously, encouraging user feedback for new feature developments in their Discord.
Replai is currently free to use on a 14-days trial, after which users can simply refer friends to join Replai in order to keep the account fully unlocked. The Replai Partner & Ambassador Program allows top Replai users to receive perks and have access to beta features.

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Esports player age verification should be simple

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Despite the continuing professionalisation of esports, misconceptions about player age persist – particularly of underage pros playing in professional esports.

Back in 2021, the PandaScore whitepaper dug into the data around player age in professional esports and found that the average age of a pro player was just under 24 years old. By comparison, the same report noted that the average age for a men’s professional footballer was about 26 years old.

While there is no great gulf in player ages between esports and traditional sports, there’s more apprehension around this topic once there’s a keyboard or controller involved. There are good reasons behind this focus, but the truth is that a simple and straightforward product makes player age verification easy.

The reason behind the focus on player age

Compliance with player age requirements has been a particular concern as legalised sports and esports betting rolls out across the US. These are completely reasonable concerns, partly because of the state-by-state nature of American regulation, but also due to past compliance issues in the likes of ITF tennis.

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Age compliance isn’t a challenge unique to esports. It does have younger players in the same way tennis does, so it’s a space that operators consider a potential risk area based on precedent. While it’s understandable to be vigilant about ensuring age compliance across your whole book, the reality in esports is it’s just like any other sport.

However, with this greater attention, it’s crucial for esports suppliers to have a simple, high-quality solution that is flexible for any jurisdiction – and not just treat it as a spreadsheet-based, tack-on service.

Importance in the US

It’s abundantly clear that if you want to ensure compliance in the US space, player age verification isn’t a nice to have, it’s an integral part of your product. Across each jurisdiction player age verification can vary – something we’ve seen in Europe as well such as Sweden’s rule that a match must have 60% of players over the age of 18 for an operator to offer match bets.

In sports, it’s fairly straightforward to implement but has been an oversight from sports data providers in the past. It’s quite easy to provide, it just requires collecting data from multiple, reputable sources outside of the match itself.

PandaScore has been collecting player age verification data since it was founded in 2017 to ensure compliance no matter the regulation, no matter the jurisdiction.

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Embedding player age verification in your product

Ensuring age compliance was a founding principle for our product suite – we included it as a key datapoint in our API, which is the bedrock of our broader offering. Suppliers should have this embedded in their products, rather than an additional service.

PandaScore believes that offering player age verification as part of an API and integrated into your service means you can be more confident in your compliance not just for individual esports titles, but from match to match.

For us it’s simple: one of PandaScore’s founding principles is to not rely on only one single data source, but leverage multiple quality data sources that we can trust. We have a longstanding and highly developed process that guarantees a level of accuracy for player age verification that’s in line with regulation and gives operators the confidence that they’re compliant. Our practice of using multiple data sources means that double and triple-checking information to ensure player age compliance is in our nature.

With player age verification built into an API, operators can leverage the data to match the compliance needs of any given jurisdiction. This can be done by integrating player age data via the API, it can be included in their feed via our odds product with the flexibility to add exclusions where necessary, or if an operators wants it in a simper form, it can be done via request.

Player age verification might seem like a simple item, but is a compliance matter that’s essential to operating in a proper fashion. Noting the concerns and greater focus on player ages in esports, it’s something that’s important to get right: player age verification should be entrenched in esports products themselves to give operators the flexibility and simplicity that they need.

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Author: Oliver Niner, Head of Sales at PandaScore.

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BETBY AGREES LONGTERM MULTI-MARKET CSGO EMPIRE PARTNERSHIP

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BETBY, a top-tier sports betting provider, has announced a long-term partnership with Moonrail Limited B.V., a prominent online sports betting company, to support their flagship CSGOEmpire brand.

As part of this collaboration, Moonrail Limited will leverage BETBY’s award-winning sportsbook platform, along with Betby Games’ esports feed, and comprehensive trading and risk management services.

Under the terms of the agreement, BETBY’s technology and services will drive CSGOEmpire’s global multi-channel sportsbook operations.

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Stefanos Karakidis, Head of Business Development at BETBY, stated: “We are thrilled to partner with Moonrail, a company recognized as a leading operator in both the sportsbook and esports sectors. We are eager to work closely with Moonrail to continue providing exceptional sports betting experiences to their players.”

Luke M., Head of Sportsbook at CSGOEmpire, commented: “At CSGOEmpire, our primary focus has always been to deliver the fairest experience possible for our users, coupled with the best odds in the market. We are excited about our partnership with BETBY, which will enhance the quality of our offerings and significantly improve the user experience. This collaboration will provide our community with an expanded selection of betting options and a seamless interface, further solidifying CSGOEmpire as a leader in the online betting space. We remain committed to prioritizing our users’ needs and look forward to the innovations this partnership will bring.

The post BETBY AGREES LONGTERM MULTI-MARKET CSGO EMPIRE PARTNERSHIP appeared first on European Gaming Industry News.

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CS2 Intel Extreme Masters Rio 2024 SuperComputer: NaVi to bounce back after Blast Fall Final loss

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Final: Natus Vincere (36.5%) to beat Team Vitality (28.1%)

Semifinal 1: Natus Vincere (52.6%) to beat MOUZ (16.3%)

Semifinal 2: Team Vitality (47.7%) to beat G2 Esports (18.7%)

Quarterfinal 1: G2 Esports (39.8%) to beat FaZe Clan (32.8%)

Quarterfinal 2: MOUZ (35.9%) to beat Eternal Fire (24.7%)

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Group stage

  1. Natus Vincere – 48.7% to finish 1st; 17.0% to finish 2nd; 84.1% to make playoffs

  2. Team Vitality – 40.8% to finish 1st; 17.4% to finish 2nd; 77.7% to make playoffs

  3. G2 Esports – 19.3% to finish 1st; 20.4% to finish 2nd; 56.7% to make playoffs

  4. MOUZ – 14.5% to finish 1st; 21.8% to finish 2nd; 53.0% to make playoffs

  5. FaZe Clan – 13.9% to finish 1st; 21.0% to finish 2nd; 50.2% to make playoffs

  6. Eternal Flame – 40.7% to finish 1st; 16.2% to finish 2nd; 40.7% to make playoffs

  7. Liquid – 16.3% to finish 7-8th; 35.7% to make playoffs

  8. Virtus.pro – 15.4% to finish 7-8th; 29.9% to make playoffs

  9. Astralis – 28.9% to finish 9-12th; 31.5% to make playoffs

  10. The MongolZ – 32.7% to finish 9-12th; 25.4% to make playoffs

  11. Complexity – 34.3% to finish 9-12th; 21.2% to make playoffs

  12. Heroic – 26.8% to finish 9-12th; 23.5% to make playoffs

  13. paiN – 36.5% to finish 13-16th; 21.0% to make playoffs

  14. FURIA – 36.4% to finish 13-16th; 20.9% to make playoffs

  15. 9z – 44.7% to finish 13-16th; 14.6% to make playoffs

  16. Imperial – 49.1% to finish 13-16th; 13.9% to make playoffs

It has been quite the run for NaVi despite their loss with back to back grand finals in recent weeks but CSDB.gg’s predictive model suggests there will be no let up for the Ukrainian esports organisation.

G2 will also be looking to build more momentum in preparation for Majors season with NiKo on a quest to finally get over the line this year to win his first major title. Hopefully Rio won’t have to see a repeat of his reaction in the semifinals at BLAST Premier Fall Final 2024 where he punched a hole in a table after losing out to Team Vitality in a key moment.

However, the hosts of Intel Extreme Masters Rio 2024 may want to lockdown any nearby furniture and reinforce their desks if G2 are set for disappointment at the semifinals stage as predicted by the CSDB.gg SuperComputer.

A victory in Rio could be even more consequential for how the end of the year shapes up for the leading teams on the circuit. The Valve Global rankings have both teams close at the very top (NaVi at 1988 and G2 at 1953) meaning a win for either team could hand them a key advantage when it comes to who enters the Majors as top seed. 

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Back-to-back wins in T1 events for G2, should they prosper in Rio, would set the Berlin-based team on an incredible trajectory going into the winter months.

Meanwhile, Brazilian hopes for glory look slight according to the CSDB.gg SuperComputer with FURIA, the team co-owned by Neymar, having only been given a 20.9% chance of even making the playoffs. 

They are the leading contenders to make an impact for the home crowd but there are other teams flying the flag for Brazil with paiN and Imperial also set to give it their best to give local fans something to cheer on.

In terms of forecasted matchups of note, G2 and FaZe Clan could offer up a fascinating encounter in the quarterfinals should both teams qualify, with each organisation rated as having a strong chance of making the semis with little to separate them should they meet.

How was the CSDB.gg CS2 Tournament SuperComputer created?

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The CSDB.gg CS2 Tournament SuperComputer is a predictive model created using world ranking points, team quality ratings and performance trends. An element of randomness is also included in the model to avoid the best teams and players always winning, to reflect the fact that upsets can happen.

Every tournament is simulated 1,000 times with the results aggregated into a percentage rating of the chances teams or players have to achieve the predicted result.

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