Vol. 1 · Open-Era Men's Singles A Systematic Review

The GOAT,
peer-reviewed by you.

The men's tennis GOAT question, settled the only honest way a librarian knows how — a transparent, weighted evidence synthesis. Move the weights, re-run the review, watch the field reorder — and discover just how stubborn the No. 1 really is.

01 The synthesis · live verdict
Under your current weighting, the GOAT is
—
consensus robustness
— of random weightings
02 Weight the evidence · sensitivity analysis
Each criterion is normalised to the field leader (=100), then combined by your weights. This is a live sensitivity analysis — the sliders are the whole point.
03 How robust is the verdict? · Monte Carlo

04 Extracted evidence · the data
05 Methods & limitations

Inclusion criteria

Candidates were restricted to Open-era men who competed in the ATP Masters 1000 era (1990–present), so every criterion is comparable across every candidate — no player is asked to compete for a trophy that didn't exist in their career. Five names met the criteria. Zero were excluded. It is, as debates go, a small field.

5 legends identified→ 5 screened for era comparability→ 0 excluded→ 5 included in synthesis

Data & synthesis

Eight outcome measures were extracted per player (titles, weeks at No. 1, year-end No. 1, Masters 1000, Tour Finals, Olympic gold, total tour titles, and Slam-winning span). Each is min-normalised to the field leader and combined as a weighted mean. The Monte Carlo panel re-runs the synthesis across 10,000 random weight vectors to report how often each verdict survives — the tennis equivalent of asking whether a finding holds under any reasonable model.

Limitations

Head-to-head, era strength, and the eye test are not modelled. Quality of competition, injury-shortened careers, and the pre-1990 giants (Laver, Borg, Connors) sit outside scope. Weeks at No. 1 and total titles reward longevity; Slam counts reward peaks — the weights are where you smuggle your priors back in, which is rather the point. This synthesis is not peer-reviewed, unless you count yourself, which today we do.