Hard-court rally under floodlights with a soft probability curve overlay and packed stands

analyticsTennis Statistics & Probability

Tennis Statistics & Probability

What the data shows across thousands of matches — surfaces, sets, and probabilities

5 articles

66.6% mid-altitude favourite win rate data card — sea-level 71.0%, clay sea 72.5%, 8,254 matches — tennispredictor.net

Does tournament environment change favourite win rates?

Altitude and typical venue climate are rarely priced as cleanly as surface. We joined 8,254 ATP matches with odds (2022–2025) to curated venue elevations and monthly temperature/humidity normals. Mid-altitude favourites win less often—especially on clay.

July 30, 2026 · 20 min read

Data card showing 72.7% single breaks across 2,798 charted ATP matches with break rate and clay break-back stats

When breaks happen: ATP set patterns from 2,798 charted matches

Most ATP breaks are isolated — not part of a streak. Yet they cluster in the final third of sets, and clay courts trade breaks far more often than grass. We analysed 2,798 charted men's matches from 2022 onward to map when breaks happen, how often players break back, and what set-one patterns look like by surface.

July 15, 2026 · 18 min read

80.7% favourite set-1 close-out rate data card — 4,650 matches, 91.6% heavy favourites — tennispredictor.net

First set betting: close-out rates, carry-through, and market context

When a pre-match favourite wins the first set, they close out the match 80.7% of the time — a 12-point boost over their baseline. But that number swings from 66% to 94% depending on their odds and the surface. Here's the full data-backed breakdown across 4,650 ATP matches.

May 11, 2026 · 29 min read

42.4% decisive set statistics data card — 9,698 ATP matches, 57% first-set winner wins — tennispredictor.net

The decisive set: third set & fifth set statistics that matter for bettors

How often do ATP matches go to a third or fifth set—and when they do, does the first-set winner usually close it? Real scorelines, Grand Slam vs tour splits, and what it means for set and live betting.

February 21, 2026 · 22 min read

9,829 ATP matches analysed data card — feature importance, upsets, first-set carry — tennispredictor.net

We analyzed 10,000 tennis matches: here's what we learned

Large-sample ATP study: what the Random Forest actually weights (odds, ranks, surface), how often lower-ranked players win by tier, and why H2H is thin at scale.

October 27, 2025 · 17 min read

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