Esports.com (ESPORTS): D-Score 27/100 — Centralized Leaning BlockIndex D-Score: 27/100 (Centralized Leaning). Esports.com (ESPORTS) is a Layer 2 cryptocurrency using Other consensus. Esports.com (ESPORTS): Multi-chain gaming token for web3 gameplay with cross-chain integrations and market-listed liquidity. Source: https://blockindex.ai/coin/esports · Data by BlockIndex.AI · Updated 2026-06-19 D-Score breakdown (0-100, higher means more decentralized) Component: Score: Overall D-Score: 27: Node distribution: 0: Initial distribution: 0: Governance: 16: Age and history: 11: Autonomy: 0: Key facts - Layer: Layer 2 - Consensus: Other (N/A) - Launch: Other (2018) - Founder: N/A - VC funded: No - Max supply: 900,000,000 - Circulating: 589,161,559 (65.5%) Market data (as of 2026-06-19) - Price: $0.04 - Market cap: $24.13M - 24h volume: $62.86M - 24h change: -76.96% · 7d change: -76.42% About Esports.com (traded under the ESPORTS/Yooldo ticker in aggregate market data) is documented in the supplied materials as a multi-chain, tokenized asset associated with the Esports.com gaming ecosystem. The provided dataset focuses on market and exchange scraped records (Messari, CoinMarketCap, CryptoCompare and related aggregators) rather than a centralized project whitepaper or fully enumerated on-chain metadata. What is clear from the scraped pages is that the token has been publicly traded since 2018 with a documented first trade and early price extremes in March 2018; subsequent market data points show volatility and renewed interest with snapshots captured through 2025. The token is described in aggregator text as operating across multiple chains and bridging infrastructures to support web3 gaming and cross-chain gameplay. Technically, the project in the supplied files behaves like a standard EVM-based token rather than a native layer-1 blockchain; contract references (notably the CoinMarketCap-disclosed contract 0xF39e...508E48) and multi-chain bridge language appear in the scraped content. There is no authoritative, project-published specification of the token standard (e.g., explicit "ERC-20" label) in the provided snippets, nor are there development repositories or release notes included in the dataset. As such, the technical section of this summary flags the absence of clear protocol-level documentation: block, transaction and node statistics are not present for a native chain because the asset is a token deployed on host chains. From an economic and market perspective, the dataset provides key price and supply snapshots: an early all-time high of $1.69 (Messari) on 2018-03-20, a cycle low of $0.000575 on 2020-06-24, and later 2025 price extrema reflected in CoinMarketCap snapshots (including an ATL listed on 2025-07-23 and a later ATH on 2025-11-27 in the scraped CMC pages). CoinMarketCap excerpts also list supply figures (total supply ~899.99M, max supply 900M, circulating supply 231.34M) and holder counts, but the provided dataset does not include definitive tokenomics documentation (allocation breakdowns, vesting schedules or explicit premine/PIP statements). Because the scraped pages mix information from multiple aggregator sources and in one case appear to conflate similarly named projects, this summary retains only facts directly supported in the included extracts. Governance, legal structure and organizational data are not present in the supplied files: no company registration, CEO name, or on-chain governance mechanism is documented in the extracts. Infrastructure and services are present in aggregator listings (explorers, analytics platforms and references to bridge/L2 integrations) and the asset is listed on multiple centralized exchanges per the verified exchange scrape. The dataset is sufficient to demonstrate historical market activity and aggregator coverage, but it lacks the primary-source technical and governance disclosures needed for a fully comprehensive project profile. Links - Website: https://esports.com/ - Whitepaper: N/A - GitHub: N/A --- About the D-Score: BlockIndex.AI rates decentralization from 0 to 100 across node distribution, initial distribution, governance, age and history, and autonomy. Methodology: https://blockindex.ai/dscore