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MODEL PREDICTION · 2026-07-12

N. Hibino vs M. Tona — prediction

Athens (Greece) - Qualification
✓ Correct
HIBINOWIN PROBABILITYTONA
64%
model prob.
@1.12
odds · 89% impl.
🎾Serve 59%📈Form 2/10
THE MODEL'S REASONING

Ranking: #173 vs #409 (better ranked)

Recent form: 2/10 in recent matches

Model 64% vs market 89% → the model sees it as less likely than the odds

WATCH FOR

!Coming off 4 losses in a row

!Returning from a long layoff (256d) — possible rustiness

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.
@1.56
fair odds
−28.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Hibino●●●
Hibino ranked #173 vs Tona's #409, a 236-place gap pointing to a clearly higher tour level.
Form▸ Tona●●●
Hibino has won only 2 of her last 10 matches and is on a current 1-match losing streak, eroding her ranking edge.
Serve/Return▸ Hibino●●
Hibino wins 59% of service points and 38% of return points, but no comparable Tona figures exist to size the gap.
Rest= Even
18 days since her last match and none in the past 14 suggest no fatigue, but limited recent match rhythm.
Value▸ Tona●●●
Odds of 1.12 imply 89% while the model gives 64%; the -28.3% EV shows the price offers no value.
LEVEL GAP

The core case for Hibino is structural: a #173 ranking against Tona's #409 is a 236-place difference, the kind of gap that normally signals a clear class edge on the WTA tour. This is the main driver behind the model's 64% probability for the favorite.

Still, a ranking gap this size is a starting point, not a guarantee — especially in qualification-level matches where recent form and rust can compress the difference between two players.

FORM AND MOMENTUM

Hibino's recent results complicate the ranking picture. Her last 10 matches read 2 wins and 8 losses, and she is currently on a 1-match losing streak. That kind of form is a real drag on her favorite status, even against a much lower-ranked opponent.

No form data exists for Tona, so this factor cannot be weighed as a direct comparison — it simply flags that Hibino's own level has not been visible in her recent play, adding uncertainty to what the ranking gap alone would suggest.

SERVICE NUMBERS

On paper, Hibino's own numbers — 59% of service points won and 38% of return points won — describe a player who leans on her serve more than her return. That profile is consistent with someone capable of holding at a decent rate against a much lower-ranked opponent.

Because no equivalent serve or return figures exist for Tona, this comparison stops at description: it tells us how Hibino tends to win points, not how that style plays out against this specific opponent.

VALUE CHECK

The market prices Hibino at 1.12, implying an 89% win probability. The model, built and validated specifically on WTA data, puts her at 64% — a 25-point gap that produces an expected value of -28.3%. That is a significant divergence, and it is entirely on the downside for anyone backing the favorite at this price.

Being the favorite here is not the same as being a value bet. Hibino's ranking edge is real, but her recent form (2-8) and the model's own read suggest the market has priced her closer to a lock than the data supports. On this method, there is no backable edge on either side at the current 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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