Track record

Every list, publicly scored.

Ten lists 2015–2024, 200 picks, 76 players reached the Top 100 within 24 months — a 38% hit rate, roughly 3.4× the base rate for the same ranking band. Protocol details in the methodology.

List	Picks	Reached Top 100	Hit rate	Base rate	Multiple
Jan 2015	20	6	30%	11%	2.7×
Jan 2016	20	7	35%	10%	3.5×
Jan 2017	20	6	30%	11%	2.7×
Jan 2018	20	8	40%	12%	3.3×
Jan 2019	20	7	35%	11%	3.2×
Jan 2020	20	7	35%	12%	2.9×
Jan 2021	20	8	40%	10%	4.0×
Jan 2022	20	8	40%	11%	3.6×
Jan 2023	20	9	45%	11%	4.1×
Jan 2024	20	10	50%	12%	4.2×
Total	200	76	38%	11.1%	3.4×

Hit = reached the ATP Top 100 within 24 months of list publication · Base rate = natural breakout share of the same ranking band · Illustrative sample data

Notable hits

Ranking at publication → best ranking reached afterwards (selection).

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 moJan 2024 · M.T. #198 → #71 in 11 moJan 2020 · R.K. #256 → #88 in 23 moJan 2019 · J.P. #174 → #52 in 18 moJan 2016 · T.N. #221 → #95 in 21 mo

See the current list

Open the July 2026 list →

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.