AGENTENNIS Open appBrand access

AI scouting for tennis sponsorship

The next Top 100 aren't in the Top 100 yet.

AgenTennis finds breakout tennis players 12–24 months before they arrive — with calibrated, backtested probabilities — so brands can sign them while sponsorship still costs a fraction of the price.

Players tracked
2,847
Match data back to 1990
On this month's list
20
Ranked 100–400 · updated weekly
Backtest hits (Jan 2023 list)
9 / 20 reached Top 100
Within a 24-month window
Base rate, same ranking band
11%
Players who break through naturally

Sponsorship, priced like venture capital

A Top 10 endorsement starts at $2M a year. A player ranked 150 signs for a few thousand — and if they break through, the brand that got there first keeps the upside.

1

The model finds them early

Opponent-adjusted strength, age–ranking curves and level-transition speed — signals that lead the official ranking by 6–12 months. How it works →

2

You get calibrated reports

Every player ships with a backtested probability of reaching the Top 100, audience analytics and a suggested sponsorship package. See a sample →

3

Sign at seed-stage prices

Standardised deals — sleeve patch, social bundle, gear branding — from $8k a year, arranged through our agency partners. Pricing →

Backtested, not backfitted

Each list is trained only on data available before its publication date, then scored against the following 24 months — rolled forward over every season 2015–2024. Full methodology →

45% hit rate vs. an 11% base rate in the same ranking band — roughly better than chance
Jan 2023 · L.B. #212 → #64 in 14 moJan 2023 · K.M. #187 → #91 in 19 moJan 2022 · D.R. #243 → #77 in 22 moJan 2021 · A.S. #165 → #48 in 16 mo

See this month's list

Eight of the twenty July 2026 names are open in the preview build.

Open Breakout Rankings →

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.

© 2026 AgenTennis