Talent DNA by Bill Orr
Built by Bill Orr

Wyscout analysis workspace

From raw export
to clear decisions.

Upload a Wyscout player search. Filter the cohort, compare like-for-like percentiles, surface the players worth watching and create custom PDF reports.

How to export data from Wyscout →Bill OrrCreated by Bill Orr↗
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Drop your Wyscout export here.xlsx or .csv · processed locally

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Exploring sample dataThis demonstration cohort is illustrative. Upload your own export to begin a real analysis.

Live analysis

Recruitment board

Wyscout sample · 6 players
6players
in cohort
Selected profile Midfielders
DR

D. Rice

Arsenal · LDMF, LCMF

Age27
Minutes3,442
Matches38
Rating ?72
Birth countryEngland
Passport countryEngland
Preferred footRight
Height188 cm
Weight80 kg
Market value€120m

Compared with 6 players · all position groups · 900–5,000 mins · ages 16–40

SCOUT NOTE

Strong all-round profile for this cohort. Prioritise live/video review around the highest-ranked traits.

Core radar

Profile vs cohort

Succ. defensive actionsDef. duels won, %PAdj InterceptionsProg. passesxAShot assists
PlayerPositional avg

Higher is better · percentiles recalculate with every filter

Trait detail

Where the profile stands

Role-specific strengths and development areas

Top 6 strengths

Passes to final third83rd
10.60 raw
xA83rd
0.19 raw
Shot assists83rd
1.65 raw
Succ. defensive actions83rd
6.22 raw
Prog. passes67th
8.22 raw
PAdj Interceptions67th
5.62 raw

6 weaknesses

Acc. progressive passes, %50th
74.1 raw
Def. duels won, %50th
63.3 raw
Prog. passes67th
8.22 raw
PAdj Interceptions67th
5.62 raw
Goals67th
0.10 raw
Passes to final third83rd
10.60 raw
Cohort ranking

Succ. defensive actions

Lowest to highest across the active cohort

5 of 6
1X. Simons5.15
2Bruno Fernandes5.55
3Rúben Dias5.95
4J. Gvardiol6.06
5D. Rice6.22
6Douglas Luiz7.59
How to read this

Context before conclusion.

Every score is relative to the players left after your filters. Tighten the position group and minutes threshold to create a fair comparison set.

01 Filter to the real recruitment brief
02 Use percentiles to find outliers
03 Validate the context on video