Goal Cup AI
Goal CupAIv1.0
$ gitlawb
Football stadium
v1.0AI Football Analysis Protocol · Base L2

Your AI Agent for
Football Intelligence.

Goal Cup AI analyzes every match: xG models, tactical breakdowns, injury risk, and historical patterns, powered by on-chain data anchored via gitlawb.

How It WorksFollow
Live Network Stats
0+
Matches Analyzed
0
Live Datasets
0%
Prediction Accuracy
Base L2gitlawbxG Model v4.2MCP ServerOn-Chain Data
scroll
Protocol Architecture

How the AI Agent
processes a match.

Four-layer analysis pipeline. Every output is reproducible, verifiable, and permanently stored on-chain.

01

xG Modelling

Expected Goals (xG) computed per player, per match, per league, using 5 seasons of historical shot and position data.

$goal-ai xg --player mbappé --season 2026
02

Tactical AI Breakdown

Formation analysis, pressing intensity, build-up patterns, and set-piece vulnerability mapped for both teams before kick-off.

$goal-ai tactics --match ARG_FRA --depth full
03

Live Probability Feed

Real-time win/draw/loss probability updates as the match progresses. Synced every 30 seconds via on-chain oracle.

$goal-ai stream --match-id 2026_WC_FINAL
04

On-Chain Anchoring

All analysis outputs are cryptographically signed, anchored to Arweave, and verified on Base L2 via the gitlawb protocol.

$gl verify --report 0xabc...def
Every analysis is anchored on-chain via gitlawb, fully verifiable and tamper-proof.
Verify on gitlawb ↗
Technology

Built on battle-tested
primitives.

Every layer of the stack is open, verifiable, and interoperable with any MCP-compatible AI agent.

Stack Overview
AI Engine
xG Model v4.2
// 5-season historical shot data
Blockchain
Base L2
// EVM, low-fee settlement
Anchoring
Arweave + gitlawb
// Permanent, verifiable reports
Protocol
MCP Server
// AI agent interoperability
Data Feed
Chainlink / Pyth
// Trustless oracle integration
AI Agent Integrations
ClaudeMCP Compatible
GPT-4oVia API
GeminiVia API
BaseL2 Chain
gitlawbAnchoring
// MCP tool call from Claude

await goalAI.analyze({
  match: "ARG vs FRA",
  depth: "full",
  anchor: true
});

// → returns verifiable xG report + hash
Live Analysis

AI Match Intelligence.

Select a match for a full AI breakdown: xG, tactical layers, injury risk, and top scorer predictions.

AI Engine Active
FIFA World Cup 2026LIVE
Argentina 🇦🇷vsFrance 🇫🇷
Jul 19, 2026 · Final
38%24% Draw38%
FIFA World Cup 2026UPCOMING
Brazil 🇧🇷vsEngland 🇬🇧
Jul 15, 2026 · Semi-Final
45%26% Draw29%
FIFA World Cup 2026UPCOMING
Spain 🇪🇸vsGermany 🇩🇪
Jul 15, 2026 · Semi-Final
42%28% Draw30%
FIFA World Cup 2026UPCOMING
Portugal 🇵🇹vsMorocco 🇲🇦
Jul 11, 2026 · Quarter-Final
55%22% Draw23%
FIFA World Cup 2026UPCOMING
Netherlands 🇳🇱vsUSA 🇺🇸
Jul 11, 2026 · Quarter-Final
58%20% Draw22%
FIFA World Cup 2026UPCOMING
Japan 🇯🇵vsCroatia 🇭🇷
Jul 8, 2026 · Round of 16
34%30% Draw36%
FIFA World Cup 2026UPCOMING
Colombia 🇨🇴vsSenegal 🇸🇳
Jul 8, 2026 · Round of 16
40%28% Draw32%
FIFA World Cup 2026UPCOMING
Italy 🇮🇹vsMexico 🇲🇽
Jul 5, 2026 · Round of 16
47%26% Draw27%
goal-ai · full tactical analysis
Argentina 🇦🇷 vs France 🇫🇷
Jul 19, 2026 · Final
82% confidencexG Model v4.2FIFA World Cup 2026
Home xG
1.80
Away xG
2.10
Top Scorer Pred.
K. Mbappé
Possession H/A
48% / 52%
Press Intensity
88 (FRA)
Set-piece Goals
FRA: 6
Possession Split
Argentina 48%France 52%
Press Intensity Index
Argentina74
France88
AI Tactical Summary

High-press battle expected. France's xG advantage stems from transition phases and Mbappe's diagonal runs that consistently exploit Argentina's high defensive line. Otamendi's positioning has been 0.4 xGA above average this tournament. France press triggers 3.1 turnovers per 30 min in final third.

Formation & Gameplan

Argentina likely 4-4-2 mid-block. France to exploit left half-space via Mbappe inverted runs. Expect 60%+ of France's attacks through right channel.

Injury Risk
Medium — Di Maria (hamstring 60%), Dembele (knock 40%)
Key Duel
L. Martinez vs T. Hernandez — aerial dominance crucial
Set-piece Factor
France ranked 2nd in tournament for set-piece goals (6)
$ goal-ai analyze --match "Argentina 🇦🇷 vs France 🇫🇷" --depth full --output json

✓ xG model v4.2 computed   ✓ Tactical layer parsed   ✓ Injury index updated
✓ Set-piece vectors mapped   ✓ Report anchored to Arweave
// Confidence: 82%   Report hash: 0xf3a7...4b91   Verified on Base L2
Agent Protocol

Any AI can talk
to Goal Cup.

The Goal Cup AI exposes a fully MCP-compatible server. Claude, GPT-4o, Gemini: any agent can query live match data, trigger analysis, and receive on-chain verified reports.

Live Match Feed
Real-time xG, possession, and pressure intensity scores streamed every 30 seconds.
Query Any Player
Historical performance, injury risk, form index, and preferred foot zones, queryable in one call.
Generate Reports
Request a full PDF-grade match preview anchored to Arweave with a single tool call.
Execute Stakes
Agents can stake USDC on behalf of users after analysis, fully autonomous and wallet-secured.
// MCP tool registration
server.tool("analyze_match",
  "Analyze a football match with xG",
  { match_id: z.string(), depth: z.enum(["quick", "full"]) },
  async (args) => goalAI.analyze(args)
);

// Claude usage
→ analyze_match({ match_id: "2026_WC_FINAL" })
✓ Report anchored: 0xf3a7...4b91
Available MCP Tools
analyze_match
get_player_stats
predict_top_scorer
stream_live_xg
execute_stake
verify_report
Roadmap

Shipping fast,
anchoring permanently.

Each phase is shipped as a verifiable commit on gitlawb, fully auditable and transparent.

Phase 1Active

MVP Launch

  • ✓ Goal Cup AI deployed to Base L2
  • ✓ xG Model v4 integrated
  • ✓ Wallet connection (Coinbase, MetaMask, Rainbow)
  • → gitlawb repository integration
  • → MCP Server public launch
Phase 2

World Cup 2026

  • → Live oracle feed (Chainlink / Pyth)
  • → Full 32-nation AI analysis coverage
  • → Real-time USDC prediction pools
  • → AI agent leaderboard
Phase 3

DeFi Expansion

  • → UEFA Champions League coverage
  • → Agent-to-agent bounty marketplace
  • → DAO governance
  • → Mobile-first PWA
Join the community
Follow updates and submit prediction models.