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MODEL PREDICTION · 2026-07-13

C. Tauson vs N. Hibino — prediction

Athens (Greece) - Qualification
TAUSONWIN PROBABILITYHIBINO
73%
model prob.
@1.34
odds · 75% impl.
H2H 1–0 TausonRest 13d vs 1d🎾Serve 60%📈Form 3/10 · 2✗
THE MODEL'S REASONING

Ranking: #25 vs #173 (better ranked)

Recent form: 3/10 in recent matches

Head-to-head: 1-0 in favor

Calibrated model probability (~64% out-of-sample accuracy, validated specifically on WTA). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.37
fair odds
−2.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tauson●●●
Tauson's 1683 Elo and #25 ranking sit far above Hibino's 1500 Elo and #173 ranking, a clear class gap.
Rest▸ Tauson●●●
Hibino has just 1 day of rest and 2 matches in the last week, including an Athens final, versus Tauson's 13 days off.
Form▸ Hibino●●
Hibino is riding a 2-match win streak (4/10) while Tauson has lost her last 2 (3/10), a momentum edge for the underdog.
Serve/return▸ Hibino
Hibino edges Tauson on both serve (61% vs 60%) and return (41% vs 38%) points won, though the gaps are narrow.
Head-to-head▸ Tauson
Tauson won their only prior meeting in 2024, but a single match offers limited predictive weight.
Value/market= Even●●
The model's 73% is below the market's implied 79% at odds of 1.26, yielding a -8.2% expected value.
CLASS GAP

The most concrete signal here is the ranking and Elo differential: Tauson at #25 with a 1683 Elo rating faces Hibino at #173 with a 1500 Elo rating. That is a substantial gap in the model's rating system, and it is the primary driver behind Tauson's 73% win probability. In a best-of-three qualifying match, this kind of quality gap tends to show up most clearly on the big points, where the higher-rated player typically has more tools to close out sets.

FATIGUE FACTOR

Schedule context adds another layer favoring Tauson mechanically, independent of skill. Hibino has played 2 matches in the last 14 days and enters with only 1 day of rest, having reached the final of the Athens qualification just a day earlier. Tauson, by contrast, has had 13 days to recover with just 1 match in that span. Deep-run fatigue after a taxing qualifying campaign can blunt movement and serve pace in a following match, which works against Hibino here, though this is context rather than a quantified probability shift.

MOMENTUM SIGNAL

Recent form cuts the other way. Hibino arrives on a 2-match winning streak and has gone 4-6 in her last 10 (LLWLLLWLWW), while Tauson has dropped her last 2 and stands at 3-7 over the same span (WLLLLLWWLL). This is a genuine countervailing signal to the ranking gap — Tauson is favored on class, but her recent match results have been shakier than her ranking would suggest.

SERVE-RETURN NUMBERS

The serve and return percentages are close and do not offer a strong direction. Hibino wins 61% of her service points and 41% of her return points, both marginally ahead of Tauson's 60% and 38%. These are small gaps and, combined with no surface data being available for this match, they should not be read as a decisive tactical edge for either player.

VALUE READ

Tauson is the favorite on rating and ranking, and the model gives her a 73% chance to win. However, the market prices her considerably higher, with an implied probability of 79% at odds of 1.26. That gap produces a -8.2% expected value on backing the favorite at this price. Being the stronger player on paper does not automatically mean the odds offer value — here, the model is actually less confident than the market, and on a pure EV basis this is not a favorable bet at the listed price.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.

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