MODEL PREDICTION · 2026-07-22

B. Krejcikova vs L. Havlickovaprediction

Livesport Prague Open
✓ Correct
KREJCIKOVAWIN PROBABILITYHAVLICKOVA
84%
model prob.
@1.16
odds · 86% impl.
Rest 1d vs 2d🎾Serve 61%📈Form 8/10 · 6✓
THE MODEL'S REASONING

Ranking: #32 vs #276 (better ranked)

Recent form: 8/10 in recent matches

On a streak: 5 wins in a row

Match-sharp: 5 matches in the last 2 weeks

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.
@1.19
fair odds
−2.7%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Krejcikova●●●
Elo gap is large (1820 vs 1428) and ranking gap huge (#32 vs #276); model sets Krejcikova at 84% win probability.
Form▸ Krejcikova●●●
Krejcikova is 8-2 in her last 10 with a 6-match streak and a win over M. Andreeva (Elo 1906); Havlickova is 2-8 with one win.
Serve/return▸ Krejcikova●●
Krejcikova serves at 61% vs Havlickova's 55%, and returns slightly better (47% vs 46%), giving her the edge in both phases.
Rest▸ Havlickova
Krejcikova has played 6 matches in 14 days with just 1 day rest, versus Havlickova's 2 matches and 2 days rest — a mild fatigue risk.
Value= Even●●
Model (84%) sits below market implied probability (86%) at odds 1.16, producing a negative expected value of -2.7%.
LEVEL GAP

The gap in Elo (1820 vs 1428) and ranking (#32 vs #276) is one of the widest you will see in a WTA main-draw match, and it drives most of the 84% model probability for Krejcikova. This isn't a marginal quality edge — it reflects a player operating at a materially higher competitive level over a large sample of matches.

Ranking trend adds a small confirming signal: Krejcikova is trending up (+9) while Havlickova is flat (0), suggesting the gap is not narrowing.

FORM AND MOMENTUM

Krejcikova's 8-2 record over her last 10 matches, including a 6-match win streak and a notable win over M. Andreeva (Elo 1906), shows she is playing well above replacement level right now. That quality win is meaningful evidence she can handle elite competition, not just lower-ranked players.

Havlickova's form is the opposite: 2-8 over the same span with just a 1-match streak and no quality wins listed. The form differential reinforces the level gap rather than offsetting it.

SERVE AND RETURN

On the numbers available, Krejcikova holds a real edge in service points won (61% vs 55%), a 6-point gap that should let her control more service games and reduce break-point exposure. Her return numbers are only marginally better (47% vs 46%), so the advantage is concentrated on serve rather than return.

Combined, these two lines suggest Krejcikova should be more efficient at holding serve while having a slight but not decisive edge when returning, consistent with the overall favorite status.

FATIGUE FACTOR

One factor cuts against the favorite: Krejcikova has played 6 matches in the last 14 days and has only 1 day of rest since her last outing, compared to Havlickova's 2 matches and 2 days of rest. This kind of workload difference can matter more in a tight third set than in overall win probability, and it's worth noting even though it's not enough to offset the level and form gaps.

VALUE CHECK

At odds of 1.16, the market implies an 86% win probability for Krejcikova, slightly above the model's own 84% estimate. That gap produces a negative expected value of -2.7%, meaning the price does not offer an edge even though Krejcikova is a clear and reasonable favorite on level, form and serve metrics.

Being favored is not the same as being a value bet: the data supports Krejcikova winning most of the time, but backing her at this specific price is not, on this model, a profitable proposition on average.

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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