Predict.fun has opened a League of Legends Worlds prediction activity on BNB Chain, pairing match-based trading with prize chests and distribution through Binance’s main platform and Binance Wallet. The campaign gives users a direct route into event markets through the predict.fun interface, where they can log in, select available Worlds matches and place trades.
The activity is live at predict.fun/lol-worlds. Predict.fun says participation can unlock five tiers of prize chests containing different levels of USDT rewards and other incentives. The reward structure makes the campaign more than a standard sports or esports market, using tournament engagement to bring users into its prediction-trading product.
Predict.fun also says funds used in predictions may generate yield while positions remain active. That design places the platform in the emerging category of prediction products that seek to make collateral productive during an event, rather than simply holding it until markets settle. The platform contrasts this approach with Polymarket and Kalshi, though the three services operate with different market structures and access arrangements.
Binance distribution gives predict.fun a larger entry point
The Worlds markets are available through Binance’s core website and Binance Wallet, according to predict.fun. That distribution could lower the number of steps required for existing Binance users to reach the product, since they can enter prediction trading without separately navigating to the project’s website first.
For a BNB Chain-based application, placement inside widely used wallet and platform interfaces can matter as much as the event itself. Prediction markets often depend on liquidity concentrating around high-profile, time-sensitive outcomes. An international tournament such as League of Legends Worlds provides a calendar of repeated matches, allowing participants to return throughout the competition rather than appearing for a single binary outcome.
Predict.fun identifies its founder as dingaling. The project says it entered YZi Labs’ EASY Residency Season 2 in December 2025, receiving incubation and an initial investment. It disclosed a second financing round on April 2, 2026, with YZi Labs participating alongside Susquehanna Crypto.
The campaign arrives as prediction-market builders compete for audiences beyond political and macroeconomic contracts. Esports offers an audience already accustomed to following schedules, results and team performance, though event markets also carry the usual risks of fast-changing information, uncertain outcomes and liquidity that can vary sharply from one match to another.
Rafa finance opens Base Sepolia test environment
A separate participation route opened on Oct. 13, when RAFA Finance launched a testnet for its onchain fund-management protocol on Base Sepolia. The project describes its product as AI-driven and makes the test environment available through rafa.ai under an “invest” entry.
The testnet lets users connect a wallet, switch to the Base Sepolia network and claim 10,000 TUSDC test tokens. Users can then deposit those tokens into any available pool and redeem them, allowing participants to test the basic fund flow without committing real assets.
Test tokens have no monetary value, but the setup gives RAFA Finance a way to test wallet connections, deposits, pool accounting and redemptions in a public environment. Those functions are central to any onchain asset-management application, where users need to see how capital enters a strategy, how positions are represented and how withdrawals work before a mainnet deployment can be considered.
RAFA Finance is part of the Tides.Network ecosystem. Tides.Network reports that the ecosystem has received more than $20 million in financing. The supplied information does not detail which pools are available in the RAFA Finance testnet or how its proposed AI systems would make allocation decisions, leaving the initial release focused on user flow and protocol mechanics rather than live performance claims.
The Base Sepolia launch also illustrates how fund-management products are increasingly using testnets as an early access channel. Rather than limiting product development to closed demonstrations, teams can collect feedback from users working through transactions on a public test network. The trade-off is that testnet participation offers no evidence that a strategy will perform successfully with real assets or in stressed market conditions.
Embervale seeks early users on Robinhood Chain
Embervale, a pixel-style farming game being built for Robinhood Chain, opened early-access applications on Oct. 9 through embervalegame.com. The game combines daily farm management with combat and exploration, targeting players who want progression systems alongside onchain collection mechanics.
The same website includes an application for whitelist access. Embervale’s roadmap calls for 2,000 free NFTs divided into four tiers, though it does not specify in the supplied materials how those tiers will be allocated or what in-game functions each NFT category will provide.
The project’s early-access process differs from the financial tests offered by predict.fun and RAFA Finance. Its immediate goal is to establish a player community before the full game experience is available, using applications and planned digital collectibles to organize access.
Together, the three rollouts show how blockchain projects are treating participation itself as a product feature. Predict.fun uses an esports tournament and prize chests to draw users into prediction markets; RAFA Finance uses test tokens to familiarize users with onchain pool transactions; Embervale is building an intake list around a game and planned NFTs. Each route offers a different level of financial exposure, from simulated testnet deposits to live event trading, making the details of the underlying network, wallet connection and reward terms especially relevant for users deciding where to engage.
New to prediction markets? Learn key concepts and strategies in this detailed guide on event contracts before you dive in.
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