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Find your next signing before the market does.

Futrix Scout is the scouting workspace that turns 135,861 player-season records into decisions — search, profile, compare, shortlist and report, all in one flow.

Free tier available · 14M production player-seasons · Coverage 2006–2026

KA
Kelechi Adeyemi Right Winger · Eredivisie · 22 yrs · Right foot
Powered by PMAM Scout score 87
Overview Projections Compare Similar players Notes

Dimension scores

Overall 84
Dribbling 76
Ball Progression 79
Pressing 72
Aerial Duels 58

Model projection · 2026/27

7.4

expected rating (PS9)

P10 · 6.1P50 · 7.4P90 · 8.6

◆ High confidence · 0.86

54 minutes · 14 dimensions

The workflow

From first search to final report

1

Search & filter

Multi-condition filters across leagues, positions and scores.

2

Player profile

Performance, projections and peer context in one view.

3

Compare & similar

Side-by-side comparisons and alternative targets.

4

Shortlist

Pipeline states shared with the whole scouting desk.

5

AI report & export

One-click AI reports, exported as PDF or CSV.

Futrix Scout toolkit

Six tools, one scouting workspace

Built on 54 production models across 14 dimensions, covering player seasons from 2006 to 2026.

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Player Search

Lower positions, leagues, age bands, minutes and score thresholds to cut 135,861 player-seasons down to the handful worth watching.

97,674 base + 38,791 pro records
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Player Profile

Current performance beside model projections, with league and position peer context on every metric.

P10 · P50 · P90 intervals with confidence
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Compare

Put any targets side by side — scores, projections and trends aligned row by row.

Full 14-dimension breakdown
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Similar Players

Every profile links to its statistical twins, so a priced-out target always has alternatives.

679,305 similar player links
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Shortlists

Move targets through watching, contacted and priority states — visible to the whole scouting desk.

Built for team collaboration
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Reports

Generate an AI scouting report in seconds, export to PDF or CSV, and keep the full history.

PDF · CSV export · report history
Goalkeeper mode

Goalkeepers get their own model

Outfield metrics don't translate to the six-yard box. Futrix Scout runs keepers through a dedicated PMAM pipeline that separates what a keeper is from what is likely to happen next.

✦ Stable ability estimates

Stable save %

Shot-stopping ability with shot quality, venue and season-to-season noise stripped out.

Stable punches / 90

Claiming and punching behaviour, normalised per 90 minutes across seasons.

✦ Short-term outlook

Next match

Expected goals conceded and clean-sheet chance for the upcoming fixture.

Next 3 appearances

A goals-conceded range with a calibrated prediction interval around it.

MK
M. Kováč Goalkeeper · 27 · Liga 4
GK model

Stable ability

Stable save %71.8%+2.6 vs league
Stable punches / 900.86handling style, not weakness

Event-term outlook

Next match · goals conceded1.1
Next match · clean sheet34%
Next 3 apps · goals conceded3.4range 2.1–4.8
Interval coverage · calibrated 85.4%
Read this before you rank keepers

Goalkeeper samples are small, and some factors are unstable from season to season — treat single-season moments with care. A low punch frequency usually reads as a handling style (catch-first keepers), not a weakness. These caveats ship with every GK profile and never hide behind a tooltip.

Explainable AI

AI that explains, never invents

Scout AI is embedded in profiles, compare and reports. It reasons only over the data, model results, intervals and limitations already sitting in the evidence pack — it never produces a number you can't trace back.

✦ Scout AI From the evidence pack

"Progressive Passing scores 82, with an interval of 76–88 at the 80% coverage target. The score is driven by progressive passes and pressure-resistant carries in the 2025/26 model run — ranked 5th of 61 similar left-backs."

Data limitation: only 224 league minutes logged in 2025/26 — the interval stays wider until more matches are recorded.

In profiles

Narrates each of the 14 dimension scores and its interval in plain scouting language.

In compare

Highlights where two shortlisted players genuinely differ — and where their intervals overlap too much to call.

In reports

Drafts scouting notes strictly from the evidence pack attached to that player, citations included.

If a number isn't in the evidence pack, the AI can't say it.

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One model behind every number

Every rating, interval and projection in Futrix Scout comes from the Player Multidimensional Analysis Model — built, gated and recalibrated on two decades of football.

135,861player seasons
54production models
14scouting dimensions
679,305similar player links
2006–2026seasons covered
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Model gates on every release

Each PMAM release must clear accuracy and calibration gates before a single number ships to production.

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Intervals, not point guesses

Group-confirmed prediction intervals target 80% coverage, so every rating comes with its honest range.

Published vs research-only

Metrics that don't clear the bar stay research-only. If it appears in your report, it shipped.

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Scout with numbers you can defend.

Build shortlists on 135,861 player seasons, 14 dimensions and calibrated prediction intervals — with AI that explains every number it shows you and flags every limitation it finds.