Measure player worth with weighted transfer signals and context. Test squad planning assumptions across age, risk, and demand. Build sharper transfer estimates with deeper market context.
This model estimates transfer value by blending sporting output, contract leverage, visibility, risk, and demand pressure into one weighted market figure.
| Player | Position | Age | Base Value | Performance | Contract Years | Injury Risk | Demand Index | Estimated Value |
|---|---|---|---|---|---|---|---|---|
| Aron Vega | Forward | 24 | $28,000,000 | 84 | 4 | 12% | 81 | $49,860,000 |
| Luca Mendes | Midfielder | 27 | $22,500,000 | 79 | 3 | 18% | 74 | $34,410,000 |
| Jonas Reed | Defender | 29 | $17,800,000 | 76 | 2 | 10% | 66 | $24,630,000 |
| Milan Shore | Goalkeeper | 22 | $12,000,000 | 72 | 5 | 8% | 63 | $21,150,000 |
Estimated Market Value = Base Value × Position Factor × Age Factor × Performance Factor × Recent Form Factor × Contract Factor × Injury Factor × League Multiplier × International Factor × Marketing Factor × Leadership Factor × Sell-on Factor × Demand Factor × Wage Penalty Factor
Performance Factor = 0.65 + (Performance Rating ÷ 100 × 0.70)
Recent Form Factor = 0.75 + (Recent Form ÷ 100 × 0.50)
Contract Factor = 0.84 + (Years Remaining × 0.08), capped for stability
Injury Factor = 1 − (Injury Risk ÷ 100 × 0.45)
Demand Factor = 0.85 + (Demand Index ÷ 100 × 0.35)
Wage Penalty Factor = 1 − (Wage Burden ÷ 100 × 0.30)
This structure rewards peak age, stronger form, longer contracts, commercial appeal, and buying demand while reducing value for elevated injury exposure and heavy salary drag.
It estimates a player’s market value by combining transfer fundamentals such as age, position, form, performance, contract leverage, demand, visibility, and risk.
No. It fits many team sports if you adapt the base value, league multiplier, and scores to match that sport’s transfer, trade, or valuation environment.
Longer contracts give clubs stronger negotiating power. Buyers usually pay more when the selling club is under less pressure to move the player quickly.
Use a higher value for stronger leagues with richer buyers and wider exposure. Use a lower value for weaker or less liquid transfer markets.
Often yes. Expensive wage commitments can narrow the buyer pool and lower total deal efficiency, so the model applies a downward salary burden adjustment.
No. Use it as a structured estimate. Final fees still depend on negotiation timing, release clauses, club urgency, ownership finances, and market competition.
The range gives a practical negotiation band around the central estimate. It helps planners discuss best-case and lower-confidence pricing outcomes.
Yes. Enter one player, record the result, then test another player with similar assumptions. The factor graph makes comparison easier and more transparent.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.