Project Module 03

Running Analysis: Dynamic Prediction and State Quantification

Move beyond replay-only analysis. FutrixMetrics combines football data and AI modeling to deliver practical football player running analysis for coaches and analysts. The result is clearer football performance decisions and stronger preparation for future football scenarios.

Core Capabilities

Build Tactical Intelligence with Running Analysis

This module links API delivery, player state modeling, and trajectory probability into one workflow. It is designed to keep football analysis actionable without overloading teams with unnecessary complexity.

FutrixMetrics API + Visual Analysis Workspace

Delivery is API-first. You can connect football player running analysis directly to training tools, tactical dashboards, and video workflows.

  • API First: Structured football data endpoints for fast integration.
  • Reporting: Key football performance moments and metrics summarized automatically.
FutrixMetrics football performance API and football data generation interface

State Index for Load and Form

Replace guesswork with measurable signals. The State Index tracks physical load and form swings to support steadier football performance decisions.

  • Load Trends: Identify turning points in intensity and output.
  • Risk Signals: Bring in custom load inputs for longer future football planning.
FutrixMetrics football player running analysis and state index story flow

Trajectory Probability for Future Football

Go beyond path replay by estimating pass-to-goal probability, interception likelihood, and spatial value shift at each action.

Future football trajectory prediction technical flow in FutrixMetrics football data platform

Data Processing and Alignment

Reliable football analysis starts with clean inputs: denoise tracking, normalize coordinates, align timelines, and segment possessions.

P1 Denoise P2 Normalize P3 Sync P4 Segment

AI Match Rehearsal

Re-run tactical choices and compare likely match outcomes. This makes football performance trade-offs measurable instead of speculative.

Pass→Goal p(x)
Block p(y)
Shift Δspace

Technical Architecture and Data Flow

Built around player ID, the FutrixMetrics pipeline integrates tracking, event, and medical-load signals into a reusable football data workflow.

P1 Denoise frame recovery / smoothing / ID drift correction
P2 Normalize Coordinates pitch scale / direction calibration / half alignment
P3 Synchronize Time tracking ↔ events ↔ video
P4 Segment Possessions possession and phase segmentation

Trajectory Logic Analysis

Extract running and passing patterns to define role-specific positioning logic.

Error Timing Mining

Detect high-risk periods and connect them to load data for earlier form-drop signals.

Probability Improvement Simulation

Simulate adjusted movement routes to improve pass success and expected goals.