FutrixMetrics Platform Explorer

Player Search

Scout the database with a proper search desk instead of a raw filter bar.

Scouting Desk

Build your shortlist with position, league, and season context in one pass.

This surface is optimized for fast analyst triage. Query the player pool, inspect the return set, and move strong candidates directly into the workspace for compare or reporting.

Search lenses

Name, position, league, and season in one desk.

Workflow

Search Review Queue to workspace

Query Console

Targeted retrieval

Press enter in the name field or launch a filtered pass.

Player name

Position

League

Season

Result board

Shortlist candidates, then move them straight into report and compare workflows.

Connect your API and search for players to get started.

Usage Quota

Customize feature quota for your current API key. Each platform function call consumes 1 usage.

Plan

Current subscription tier

Monthly Limit

Customize calls per month

Used

Calls consumed this month

Remaining

Connect API key to load

Billing Period

Player Report

Turn a player lookup into a branded dossier with rating, role, and feature intelligence.

Player Dossier

Generate a full scouting packet without leaving the workspace.

Use an exact ID when you know the target, or combine fuzzy name, season, and league when you are still narrowing context. The report below remains unchanged; only the intake surface is being upgraded.

Output Rating, role, radar

Feature lab Custom charting preserved

Report Intake

Use one strong identifier or combine fields for a narrower dossier build.

Player ID

Name (fuzzy)

Season

League

Charts

A modular analytics wall built around the real player-charts API surfaces.

Analytics Wall

One wall for player lenses, market scans, and league‑level pattern reading.

Seven modular surfaces wired to the player-charts API. Move between individual player reconstruction and database-wide analytics without switching context.

7 Chart Types

3 Scopes

∞ Combinations

Player-level League-level Database-wide

Web Features

7 interactive surfaces — select a tab below to launch.

Radar

Skill profile against position benchmark.

player_idseasonsource

Cluster Profile

GMM cluster & positional probabilities.

player_idseasonsource

Timeline

Season-by-season score movement across dimensions.

player_idscore_dimssource

Top Players

Leaderboard ranked by overall rating.

top_npositionleagueseason

Distribution

Position-by-position box-range spread.

score_dimseasonrow_limit

League Heatmap

League-by-skill mean comparison matrix.

seasontop_leaguessource

Scatter

Score relationship explorer with cluster colouring.

x_axisy_axiscolour_byleague

From workspace

Player ID

Season

Source

Endpoint intent

`/player-charts/radar/{player_id}` is a player skill profile against a position benchmark. This rebuild keeps that same job: it pulls the player row, then computes a peer baseline from the same position and season in your ratings database.

Choose a player to render the skill radar against position peers.

From workspace

Player ID

Season

Source

Endpoint intent

`/player-charts/cluster-profile/{player_id}` exposes GMM cluster probabilities and position probabilities. This panel surfaces both distributions plus top traits so you can see assignment confidence, not just the winning label.

Choose a player to inspect cluster probabilities and positional fit.

From workspace

Player ID

Source

Score dimensions

Endpoint intent

`/player-charts/timeline/{player_id}` is season-by-season movement across selected score columns. Here you can stack multiple dimensions and watch how the player profile evolves, not just overall rating.

Choose a player to plot season-by-season score movement.

Top N

Position

League

Season

Source

Endpoint intent

`/player-charts/top-players` is a leaderboard, not a compare tool. This view ranks the live database by overall rating and keeps the filters aligned with season, league, position, and source.

Set filters to render the highest-rated players in the database.

Score dimension

Season

Source

Row limit

Endpoint intent

`/player-charts/score-distribution` is a position-by-position distribution lens. The rebuild uses a box-range composition, so median, IQR, and whiskers stay visible in a single compact Chart.js view.

Select a score dimension to compare positional spread.

Season

Source

Top leagues

Endpoint intent

`/player-charts/league-scores` compares mean skill levels league-by-league. This version exposes the matrix directly in Canvas so scouts can scan league strengths at a glance.

Generate a league-by-skill heatmap for the current database slice.

X axis

Y axis

Colour by

Season

League

Source

Row limit

Endpoint intent

`/player-charts/score-scatter` is for exploring score relationships at scale. You can colour by position or cluster metadata to see whether structure is tactical, role-based, or simply rating-driven.

Choose two score axes to explore structural separation in the player pool.

Player Comparison

A shortlist war room for side-by-side profile review, role fit, and season context.

War Room

Put a shortlist on the table and separate profile shape from meeting-room bias.

Select a shortlist, set the comparison scope, and review the players you want to include. The charts below stay the same — this step simply helps organize the comparison first.

Charts per run

Radar, grouped bar, heatmap, scatter, cluster stack, and timeline.

Player load

Readable overlays stay capped at five players.

Current shortlist

Add players from Search or enter IDs below.

No players staged yet.

Player IDs (comma-separated)

Season

Timeline seasons

Source

What gets generated

The compare workspace always returns a Chart.js radar, then layers on a grouped score bar, score heatmap, attack-vs-defense scatter, cluster fit stack, and a timeline compare across seasons.

Build a shortlist of 2–5 players to unlock the full comparison dashboard.

Player Ratings Database

Browse the full ratings table from /database/ratings — filter by position, league, season, and score range.

Database · Ratings

Every player score in one surface.

The ratings endpoint returns scored player records with overall rating, positional scores, and season metadata. Use the filters below to narrow the view or explore the full population.

Endpoint

/database/ratings

Fields

rating attack defense passing gk_shotstop gk_command

Filter Console

Narrow results

0 records

Player name contains

Position refine

Team

League

Season

Min rating refine

Page size

Score source

Role Cluster Results

Browse role cluster assignments from /database/role-cluster-results — GMM-based player segmentation.

Database · Clusters

Data-driven role archetypes for every player.

The clustering endpoint returns GMM-assigned roles with membership probabilities. Players are grouped by statistical similarity rather than nominal position — revealing hidden archetypes that traditional labels miss.

Endpoint

/database/role-cluster-results

Fields

cluster role_label probability entropy source top_traits

Filter Console

Narrow results

0 records

Player name contains

Position

Cluster / Role contains

Club

League

Season

Source

Page size

Explore

Global model analytics, league views, and cluster insights — no player ID required.

Customize Report

An upload lab for batch predictions, cluster reading, and cohort-level reporting.

Upload Lab

Batch predict an entire cohort from a single file upload.

Upload a player spreadsheet — the model returns ratings, cluster assignments, and a cohort-level decision brief. One file in, full intelligence out.

Workflow

Upload

Predict

Analyse

Required Fields

position season league

Model

File Intake

Drag & drop or click to browse your cohort file.

.csv .xlsx .xls

Drop your file here

or click anywhere to browse

Each row = one player · Large files are auto-sent in multiple prediction batches