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MODEL PREDICTION · 2026-07-13

B. Krejcikova vs V. Tomova — prediction

Athens (Greece) - Qualification
KREJCIKOVAWIN PROBABILITYTOMOVA
74%
model prob.
@1.11
odds · 90% impl.
Rest 8d vs 20d🎾Serve 62%📈Form 7/10 · 2✗
THE MODEL'S REASONING

Ranking: #38 vs #155 (better ranked)

Recent form: 7/10 in recent matches

Match-sharp: 4 matches in the last 2 weeks

Model 74% vs market 90% → 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.
@1.35
fair odds
−18.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Krejcikova●●●
Krejcikova's Elo 1780 and #38 ranking dwarf Tomova's 1495 Elo and #155 ranking, a wide class gap.
Form▸ Krejcikova●●
Krejcikova is 7-3 in her last 10 with a win over M. Andreeva (Elo 1906); Tomova is 2-8 on a 3-match losing streak.
Rest= Even
Krejcikova played 5 matches in 14 days (sharp but tired); Tomova rested 20 days but has zero recent match rhythm.
Serve/return▸ Krejcikova●●
Krejcikova wins 62% of serve points and 44% on return, a strong two-way profile; no comparable data exists for Tomova.
Model vs market= Even●●●
The model rates this 50/50 while the market implies 90% for Krejcikova at 1.11 odds, producing a -44.5% expected value.
CLASS GAP

The ranking and Elo differential here is stark: Krejcikova sits at #38 with an Elo of 1780, while Tomova is ranked #155 with an Elo of 1495. That near-300-point Elo edge normally translates into a heavy on-paper favorite, and it aligns with Krejcikova's positive ranking trend (+15) against Tomova's flat trajectory (0).

FORM DIVERGENCE

Krejcikova arrives with a 7-3 record over her last 10 matches, including a notable win over M. Andreeva (Elo 1906) — evidence she can compete with top-tier players even amid a current 2-match losing skid. Tomova, by contrast, is just 2-8 in her last 10 with no quality wins and is riding a 3-match losing streak, a form profile that suggests she is struggling to find rhythm on court.

SCHEDULE CONTRAST

The rest picture cuts both ways. Krejcikova has played 5 matches in the last 14 days on just 8 days of rest — she is battle-sharp but carries some fatigue risk into this contest. Tomova has had 20 days off with zero matches in the last two weeks, which grants full recovery but also means she enters without recent competitive rhythm, a factor that can slow reaction time and shot execution early in a match.

SERVICE PROFILE

Krejcikova's own numbers show a well-rounded game: 62% of points won on serve and 44% on return, figures that support a baseline win rate of 60% for her. No serve or return data exists for Tomova, so a direct stylistic comparison isn't possible from the data provided, but Krejcikova's own metrics indicate she can control points from both sides of the ball.

VALUE ASSESSMENT

Here is the key honesty check: despite the wide class and form gaps favoring Krejcikova, the calibrated model still lands at a 50/50 probability split, well below the market's implied 90% at odds of 1.11. That gap produces a -44.5% expected value, meaning that even if Krejcikova is likely to win this match on merit, the price offered does not compensate for the risk at these odds.

Being the clear favorite on paper is not the same as representing value. The model's read suggests the market may be overpricing certainty here, possibly due to the ranking gap alone without fully weighting Tomova's extended rest or Krejcikova's recent fatigue from a congested schedule. On this data, backing the favorite at 1.11 is not a profitable proposition according to the model.

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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