About EFScout
EFScout is a free, community-driven platform for eFootball 2026 players who want data-driven tools to improve their squads. The database covers 39,000+ player cards across 700+ teams and 30+ leagues — Standard, Featured, Epic, Legendary, Highlight, Big Time, Showtime, and every other card type in the game. Data is updated weekly from official eFootball 2026 game files.
Search is powered by WebAssembly (WASM), a Rust engine compiled to run entirely in your browser. Type a player name and get instant results — no server round-trips, no loading spinners, no API latency. The engine indexes every player with 30+ stats, 54 skills, positions, playing styles, teams, leagues, nationalities, boosters, and card variations. Filters combine freely: find all Epic CF cards in La Liga with Double Touch and 90+ Finishing in under 50 milliseconds.
The Skill Finder is a reverse-search tool that answers a question no other eFootball database addresses: which players are the best candidates for a specific skill token? It uses Fisher's statistical test across signature stats to rank every player by compatibility. The Skill Analysis tool goes deeper — it applies Cohen's d effect sizes to measure how skills actually change player performance at each position, with radar charts, sigmoid probability curves, what-if calculators, and position migration analysis.
Compare Players puts two cards side by side with independent progression optimizers — coaches, boosters, and playing styles applied in real time across 30+ stats. Multi Compare extends this to 10 players with heatmaps, parallel coordinates, and dot plots designed for squad-level decisions. Whether you are choosing between two Featured strikers or evaluating your entire midfield, the tools surface differences that raw stat sheets hide.
How the data works: game files are extracted weekly using a custom WASM pipeline. Raw binary data is parsed into structured JSON covering every player attribute Konami ships. The pipeline validates data integrity, generates player pages, builds sitemaps, and syncs to Cloudflare R2 storage — fully automated with no manual entry or third-party scraping. When Konami releases a new variation or updates player stats, EFScout reflects those changes within days.
EFScout is completely free with no ads, no account required for core features, and no paywalls. The frontend is a static SvelteKit application served from Cloudflare's global edge network. Search, filtering, and analysis all happen client-side in the WASM engine — your data never leaves your browser. The site loads fast on any device and works offline after the initial load.
Data sourcing methodology: EFScout extracts player data directly from official eFootball 2026 game files published by Konami. The extraction pipeline runs weekly using a custom Rust binary that parses the game's SQLite database, validates field ranges and data integrity, and outputs structured binary and JSON formats. No manual data entry, no web scraping, no third-party APIs. Every stat, skill, and player attribute comes from the same source the game itself uses. When discrepancies are found, the pipeline flags them for manual review before publishing.
EFScout is built and maintained by an independent developer focused on eFootball data tools and analytics. The project combines expertise in game data analysis, statistical methods (Fisher's exact test, Cohen's d effect sizes), and modern web performance engineering (Rust/WASM, edge computing, binary data formats). The codebase is actively maintained with weekly data updates and regular feature additions based on community feedback.