AGENTENNIS
Rankings / Bruno Almeida
Bruno Almeida BRBrazil · 22 · right-handed · Rank 197 · Potential 72

Ranking trajectory & 24-month forecast

100200300400Top 1002024-072025-072026-072027-072028-07Now #197Median #158
Official ranking (actual) Forecast interval (80%) Dashed = Top 100 threshold

Key signals

  • True level ~39 places ahead of the official ranking. Opponent-adjusted strength (surface-split Elo) maps to roughly No. 158 — historically this signal leads the ranking by 6–12 months.
  • Age–ranking cohort: 26% historical breakout rate. Of players historically ranked 197 at age 22, 26% reached the Top 100 within 24 months.
  • Top 20% level-transition speed. 1 Challenger title in the past 52 weeks; transition pace benchmarked against his cohort.
  • Form: 58% rolling 52-week win rate. 0–2 against Top 100 opponents.
  • Risk: Flat recent form. 12-week form curve is flat; the model needs a Challenger deep run to re-rate the profile.

Commercial profile

Brazil63%
Portugal9%
Other28%

74k Instagram followers, +11% in 90 days. Solid Brazilian following — relevant for brands active in the LatAm market and the Golden Swing.

Suggested package (sample pricing)

Sleeve patch (year-round event exposure)$9,000 / yr
Social bundle (2 posts + stories monthly)$4,000 / yr
Gear branding (bag + cap)$3,000 / yr

Package reference price $16,000 / yr — if he reaches the Top 100 within 24 months (model probability 35%), equivalent exposure typically resells at $150,000+ / yr.

Option-style terms Sign now at $16,000/yr for 2 years; the pre-agreed escalator renews at $48,000/yr if he enters the Top 100 (equivalent exposure resells at $150k+). The escalation odds are the model's own 35%. How these terms work →

Next step

Request brand access to open deal flow on this player, or email [email protected].

Methodology Track record Pricing For players Request access [email protected]

Methodology — Targets are calibrated probabilities of reaching the ATP Top 100 within 12/24 months. Training data: tour, Challenger and ITF results plus weekly rankings since 1990. Backtests are strictly time-sliced; training always ends before the prediction window opens.

Preview build — players, figures, probabilities and prices shown are illustrative sample data.

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