Player Deep Dive
The final check before you commit money.
You're down to your top 2-3 targets and about to spend. This report tells you whether to SIGN, PASS, or MONITOR — backed by anti-failure modeling trained on hundreds of completed transfers. Each player gets a full risk matrix: transition failure probability, injury risk profile, tactical fit assessment, compensation benchmark against comparable deals, and a 2-year value projection. We flag the things traditional scouting overlooks — maturity signals, squad turnover at the destination club, and league-transition patterns that predict whether a player will establish themselves or not.
Built for non-technical teams who want objective answers from proprietary algorithms — not another tool to learn.
Who this is for
Sporting directors making final decisions on transfer targets
Boards who need objective risk assessment before approving a fee
Clubs who want to avoid the 20-25% of signings that fail to establish themselves
What you receive
SIGN / PASS / MONITOR verdict with confidence level
Anti-failure risk score (0-100) with breakdown by factor
Injury risk profile — current load patterns and historical absence data
Compensation benchmark — estimated wage range vs. comparable deals
Comparable transfer history — similar players who moved at similar age/price, and how they performed
Tactical fit assessment for your squad and playing style
2-year xV value projection (organic + club-adjusted)
Written red flag summary — everything your scouts should know
How we build this report
Every model is validated against real outcomes it never saw during training. Nothing enters production until it proves it works on historical data.
Our anti-failure model is trained on hundreds of completed transfers to learn which conditions predict a player failing to establish themselves after a move.
The model evaluates multiple risk dimensions including player maturity, availability history, positional risk profiles, and destination club stability.
Injury risk is modeled using load patterns, scheduling density, positional workload, and historical absence data, calibrated per league.
Compensation is benchmarked against comparable deals using market value, league tier, age, and position.
Comparable transfers are identified using our proprietary multi-signal matching system, validated with zero false positives.
The anti-failure model achieves 80% precision at identifying signings likely to fail — validated against real transfer outcomes.
How it works
Brief
Tell us which player(s) and which club they're being considered for.
Profile build
We pull the player's full data profile: match stats, injury history, transfer history, contract status.
Model run
Anti-failure score, injury risk, xV projection, and compensation benchmark are computed.
Analyst review
Our team writes the scouting assessment and final verdict.
Delivery
PDF delivered within 3-5 business days.
“The deep dive flagged a transition risk we hadn't considered. We passed on the deal and avoided what would have been a costly mistake.”
Head of Recruitment
Champions League Club
Pricing
Order this report
EUR 2,200 — delivered as PDF in 3-5 business days
Questions
Start with one report.
You send a brief. We send a PDF. Every prediction backtested against real outcomes.
No software to install. No dashboards to learn. No training required.
Order Player Deep Dive