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ATP · ELO ESTIMATE · 2026-07-13

T. A. Tirante vs S. Ofner — prediction

TIRANTEWIN PROBABILITYOFNER
51%
Elo prob.
@1.66
odds · 60% impl.
🌡22° · 78% humRest 14d vs 5d🎾Serve 61%📈Form 5/10 · 2✗
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1885 vs 1877 — favorite by rating

ATP qualifying / early round · 346 matches in the favorite's track record

Elo estimate (not the ATP factor model): qualifying draws have no clean main-tour history

WATCH FOR

!Qualifying/soft context: Elo estimate only — read the round context (already-through, lucky loser, dead rubber) from the dossier; it is not a proven edge.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.96
fair odds
−15.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tirante
Elo gap is tiny (1885 vs 1877), essentially a coin-flip; Tirante's edge is marginal, not decisive.
Serve/return▸ Ofner●●●
Ofner wins more on serve (65% vs 61%) and far more on return (38% vs 29%), a clear two-way statistical edge.
Rest▸ Tirante●●●
Tirante had 14 days off with only 1 match, while Ofner played 4 matches in 14 days — fatigue risk for Ofner in a best-of-three grind.
Form▸ Tirante●●
Tirante's quality wins (Cobolli 2028, Davidovich Fokina 2000 Elo) outclass Ofner's single win over Medjedovic (1936), despite both being on short losing streaks.
Ranking trend▸ Tirante●●
Ofner's ranking has dropped 28 spots recently, signaling a tangible form slump that the Elo model doesn't fully capture.
Weather= Even
High humidity (82%) and mild temp (21°C) tend to slow the ball and lengthen rallies, marginally softening Ofner's serve-driven edge.
Market value= Even●●●
Market prices Tirante at 58% implied, model at 51% — a -12% EV means no edge on the favorite at these odds.
LEVEL AND ELO

The Elo gap between Tirante (1885) and Ofner (1877) is only 8 points, which the model reads as a near coin-flip favoring Tirante by the barest of margins. This is a soft Challenger/ITF-style Elo estimate for an ATP qualifying context, so the edge should be treated as unproven rather than a strong signal.

SERVE AND RETURN NUMBERS

The raw percentages tell a different story than the Elo rating: Ofner serves at 65% versus Tirante's 61%, and returns at 38% versus Tirante's 29%. That's a real gap on both ends of the point, suggesting Ofner controls more service games and also has more success breaking Tirante's serve.

This serve/return disparity is the single most concrete performance signal in the data, and it points toward Ofner outperforming his Elo number on this measure alone.

SCHEDULE AND FATIGUE

The rest split is stark: Tirante arrives with 14 days since his last match and only one outing in that span, while Ofner has played four matches in the last 14 days with just 5 days of rest. Over a best-of-three format this workload difference can show up in physical freshness and shot execution late in sets.

This favors Tirante as a compensating factor against Ofner's superior serve/return numbers, though it does not erase that statistical gap outright.

FORM AND TRAJECTORY

Tirante's résumé includes wins over higher-rated players (Cobolli at 2028 Elo, Davidovich Fokina at 2000), while Ofner's best win is over Medjedovic (1936). Both are on short losing streaks (-2 and -1 respectively), but the quality of Tirante's wins stands out.

Separately, Ofner's ranking has fallen 28 spots recently — a tangible signal of a form dip that isn't fully priced into the Elo gap.

VALUE READ

The model gives Tirante 51% to win, while the market prices him at 58% implied probability at odds of 1.72. That gap produces a -12% expected value, meaning the market is more confident in the favorite than the model is.

Being the favorite here does not equal value: on these numbers, backing Tirante at this price is a bet against the model's own edge assessment, not with it. The rest and form factors lean toward Tirante, but the serve/return numbers and the negative EV argue for caution rather than conviction.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.

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