The best deal nobody has made
In an era where a competent Premier League backup striker costs EUR 25M, Kavian Rahmani represents something that should not exist: a genuinely productive teenage forward available for under EUR 1M.
The skouted.ai scouting engine has flagged him with a deal score of 84, tied for the highest among players under 20 in the entire database. His UV score of 99 means the algorithm sees him as almost perfectly undervalued relative to his output. The AI reason is blunt: “UV score of 99 signals significant undervaluation. Contract expiring in 11 months. 19 years old. High development upside.”
Why is he so cheap?
Three factors combine to suppress Rahmani’s market value:
Geography. The A-League is a low-visibility competition. European scouts do not routinely scan Australian domestic football, and the time zone difference means most matches are played while European decision-makers are asleep.
Club profile. Melbourne City operates in a league with modest global reach. Despite being part of the City Football Group network, Rahmani has not yet been funneled upward through the system.
Age and sample size. At 19, his professional sample is still relatively small. But what the numbers show, at every level, is a player trending sharply upward.
The profile
| Metric | Value |
|---|---|
| Position | ST |
| OVR | 71 |
| Age | 19 |
| Nationality | Australia |
| UV Score | 99 |
| Deal Score | 84 |
| Market Value | EUR 470K-760K |
| Contract Until | 2027 |
| Data Confidence | High |
The analytical case
Rahmani’s OVR of 71 at 19 is already above the threshold where European mid-table clubs typically start to pay attention. The skouted.ai engine rates his deal score at 84, which puts him in the same tier as players from South American leagues who regularly move to Europe for 10 to 20 times their current valuation.
The UV score of 99 is the headline number. It means the algorithm’s expected value for Rahmani vastly exceeds his listed market value. When the gap between expected and listed value is that wide, it typically indicates one of two things: the market has not noticed the player, or the market has structural reasons for discounting him (in this case, geography and league visibility).
The data does not care where a player plays. It cares about what he does on the pitch. Rahmani's numbers say he should cost ten times more than he does.
Which clubs should be calling?
For a Bundesliga or Eredivisie side looking for a development striker with immediate first-team potential, Rahmani is a no-brainer. The financial outlay is negligible by European standards. The CF Group connection means a club like Girona, Troyes, or even Palermo could acquire him with minimal friction.
For a Championship side with ambitions of promotion, Rahmani offers the kind of upside that justifies the gamble. His contract situation means Melbourne City would be motivated to sell rather than risk losing him for even less in 12 months.
AI Verdict: Strong Buy
The combination of age, position scarcity (productive strikers are the most expensive commodity in football), UV score, and contract situation makes Rahmani one of the highest-conviction transfer targets in the skouted.ai database. The downside risk is minimal given the valuation. The upside is a player who, in a European development pathway, could reach an OVR of 80+ within two to three seasons.
View full profile and AI-powered transfer intelligence at skouted.ai