MODEL PREDICTION · 2026-07-15

C. Tauson vs M. Tonaprediction

Athens (Greece) - Qualification
✓ Correct
TAUSONWIN PROBABILITYTONA
83%
model prob.
@1.06
odds · 94% impl.
🎾Serve 60%📈Form 3/10
THE MODEL'S REASONING

Ranking: #25 vs #409 (better ranked)

Recent form: 3/10 in recent matches

Model 83% vs market 94% → the model sees it as less likely than the odds

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.
@1.20
fair odds
−11.9%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tauson●●●
Elo 1690 vs 1508 and rank #25 vs #409 show a large class gap; Tauson's 58% baseline reflects that quality edge.
Form▸ Tona●●
Tauson is 3/10 in her last 10 (LLLLLWWLLW) while Tona is 5/10 (LWLWLWWLLW), showing better recent momentum for the underdog.
Rest▸ Tauson●●
Tona has played 5 matches in the last 14 days versus just 1 for Tauson, raising fatigue risk that could blunt her form.
Serve/return= Even
Serve numbers are close (60% vs 58%), but Tona returns better (43% vs 39%), giving her tools to stay in points.
Value= Even●●●
Model gives 83% vs market's 94% implied probability at 1.06 odds, producing a -11.9% expected value despite Tauson being the clear favorite.
CLASS GAP

The gap in level is the dominant factor here. Tauson's Elo of 1690 against Tona's 1508, combined with a ranking difference of #25 versus #409, points to a significant difference in overall match quality. Her 58% baseline win rate (with no comparable number available for Tona) reinforces that on a neutral day, Tauson should be the stronger player across most metrics.

This gap is large enough that even with some negative signals elsewhere (recent form, workload), the model still assigns Tauson an 83% chance to win, driven primarily by this structural quality difference rather than any single situational edge.

FORM VS WORKLOAD

Recent form actually tilts toward Tona, who is 5-5 in her last 10 (LWLWLWWLLW) compared to Tauson's 3-7 (LLLLLWWLLW). This suggests Tona has been finding more rhythm in recent weeks, which could translate into more competitive resistance than the ranking gap alone would suggest.

However, Tona's schedule looks heavier: 5 matches in the last 14 days versus only 1 for Tauson. Even with an equal one-day rest gap heading into this match, that recent match load can accumulate physically over a tournament, a factor that could offset some of her form advantage as the match progresses.

SERVE AND RETURN BALANCE

The serve numbers are close: Tauson wins 60% of service points compared to Tona's 58%, a marginal edge that alone would not be decisive. More notable is the return split — Tona returns at 43% versus Tauson's 39%, meaning the underdog is statistically the better returner in this pairing.

This return edge for Tona could keep her competitive on Tauson's service games, potentially extending rallies and games longer than the level gap alone would predict, even if it's unlikely to be enough to overturn the broader quality difference.

VALUE READ

Tauson is the clear favorite by both team and market standards, but the numbers do not suggest value at the current price. The model's 83% probability sits well below the market's implied 94% (from 1.06 odds), producing a -11.9% expected value.

This means that while Tauson winning is the most likely outcome, backing her at this price is not statistically supported — the market is pricing in more certainty than the model's factors justify. As always, favorite status is not the same as good value, and here the gap between model and market points toward caution rather than opportunity.

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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