TENNIS / Surface context

Tennis clay-hard match support balance

Places clay-versus-hard match-count balance beside the published surface win-rate gap and both support counts.

Derived analysis20 published rows6 fieldsDate varies or is unrecorded; see scope

Published measurements

Choose a measurement

MeasurementPopulationOrder

The snapshot publishes only selected extremes in each ATP window, not the full qualifying player rows. A complete player ranking or pooled percentile cannot be verified. All rows are shown without a pooled ranking, median, or percentile.

20 matching rows; 20 contain smaller-surface match share.

CSV includes 20 matching rows, all fields, and source context; missing measurements stay blank. Published source dates and row provenance are included when available; structured provenance uses JSON cells.

Tennis clay-hard match support balance: all published measurement fields
Entity	Smaller-surface match share	Published clay minus hard win rate	Clay win rate	Hard win rate	Clay matches	Hard matches
Luciano Darderi (career)ATP career	36.36%	46.03 pp	68.25%	22.22%	63	36
Sebastian Baez (career)ATP career	37.8%	33.96 pp	63.08%	29.11%	130	79
Victor Estrella (career)ATP career	41.67%	33.47 pp	59.18%	25.71%	49	35
Federico Coria (career)ATP career	24.62%	32.27 pp	51.02%	18.75%	98	32
Mariano Navone (career)ATP career	37.18%	27.52 pp	55.1%	27.59%	49	29
Marius Copil (career)ATP career	23.15%	-30.99 pp	16%	46.99%	25	83
Bernard Tomic (career)ATP career	21.57%	-30.76 pp	24.24%	55%	33	120
Lloyd Harris (career)ATP career	17.48%	-29.39 pp	24%	53.39%	25	118
Adrian Mannarino (career)ATP career	13.26%	-28.23 pp	22.03%	50.26%	59	386
Ugo Humbert (career)ATP career	19.39%	-26.65 pp	31.37%	58.02%	51	212
Luciano Darderi (recent form)ATP recent form	36.36%	46.03 pp	68.25%	22.22%	63	36
Sebastian Baez (recent form)ATP recent form	37.33%	31.69 pp	63.83%	32.14%	94	56

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01 / Interpretation

What this measures

A share near 50% means similar match counts on clay and hard; a smaller share means one surface has fewer recorded matches. Compare within the named window and read both rates and counts alongside the published gap.

02 / Calculation

smaller_surface_match_share = min(clay_n, hard_n) / (clay_n + hard_n); clay_minus_hard is copied from the published source-rounded gap.

Use the table to inspect available fields and the source JSON to trace the formula inputs. CSV percentage values are stored as fractions.

03 / Population & limits

ATP career: 10 published extremes from 184 qualifiers among 1,261 snapshot player rows; dated matches in the pooled 2015-2025 corpus. ATP recent form: 10 published extremes from 69 qualifiers among 663 snapshot player rows; matches on or after 2023-01-01 in that corpus. 20 named rows retained. Balance requires the verified 25-match floor on each surface; the source publishes no player-specific latest match dates or analysis as-of timestamp.

Recent form overlaps the pooled career corpus; the rows are not independent periods. The source publishes only selected extremes, and ATP/WTA populations must not be pooled. Opponent strength, draws, age, schedule, and retirement endings are uncontrolled. Published rates and gap are source-rounded, so the gap is copied rather than recomputed. Count balance describes support mix, not precision, surface skill, persistence, or forecast performance.

04 / Source & method references

Published source JSON Published tennis surface-context method Published tennis surface-transfer method Published tennis surface-transfer snapshot

References explain ingredients and prior methods. They do not validate this derived analysis or establish its originality.