Sports analytics skills
Discover football analytics skills for match prediction, xG, player scouting, team comparison, dashboards, and World Cup research workflows.
Built for users looking for football, soccer, World Cup, match prediction, xG, and sports analytics skills for agents.
Matched
16
Stars
614K
Vertical
Football
Signals
xG + events
Agent jobs
These pages are built for high-intent search and for agents that need a structured shortlist with install commands, trust signals, audit links, and real outcome evidence before installing third-party code.
01
Build World Cup dashboards from football data
02
Compare teams, players, formations, and match events
03
Generate match previews with data-backed signals
04
Explore xG, scouting, tracking, and prediction workflows
Ranked shortlist
#01
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
97
Quality
80
Trust
42
Proven
$ npx skills add probberechts/soccerdata#02
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
100
Quality
90
Trust
—
Proven
$ npx skills add 666ghj/MiroFish#03
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
100
Quality
93
Trust
64
Proven
$ npx skills@latest add emilkowalski/skillsResearch the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
100
Quality
92
Trust
—
Proven
$ npx skills add mvanhorn/last30days-skill -g#05
Deep Learning for humans
100
Quality
87
Trust
—
Proven
$ npx skills add keras-team/keras#06
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
100
Quality
88
Trust
—
Proven
$ npx skills add go-gitea/giteaEvaluation
Uses public datasets or documented sports data sources
Supports repeatable analysis instead of pure prediction claims
Can explain metrics such as xG, event data, and player comparisons
Produces clear charts, tables, or summaries for non-technical readers
Questions
Some skills can support prediction research, but the better use is evidence-backed analysis: load data, compare signals, explain uncertainty, and produce transparent previews.
Sports analytics is a clear vertical workflow where agents need data ingestion, modeling, visualization, and narrative explanation skills.