MODEL PREDICTION · 2026-07-20

A. Rus vs C. Paquetprediction

Hamburg
✓ Correct
RUSWIN PROBABILITYPAQUET
59%
model prob.
@1.66
odds · 60% impl.
🌡20° · 45% hum🎾Serve 57%📈Form 4/10
THE MODEL'S REASONING

Ranking: #119 vs #236 (better ranked)

Recent form: 3/10 in recent matches

More rested: 369d vs opponent's 97d

WATCH FOR

!Returning from a long layoff (369d) — 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.
@1.70
fair odds
−2.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Rus●●●
Rus is #119 with a 1494 Elo vs Paquet's #236 and 1425 Elo, giving Rus a 59% baseline win probability.
Serve/return▸ Rus●●
Rus wins more service points (57% vs 53%) and more return points (51% vs 48%), controlling both ends of the point.
Rest▸ Paquet
Rus has played 6 matches in 14 days vs Paquet's 4, adding more cumulative match load even though both played 1 day ago.
Form▸ Paquet
Paquet is 4-6 in her last 10 (LLWWLLWLLW) versus Rus at 3-7 (LLLLWWLWLW), a marginal recent-form edge for the opponent.
Risk/rustiness▸ Paquet
Data flags a 369-day layoff for Rus, a rustiness risk despite her otherwise favorable serve/return numbers.
Value= Even●●●
Model gives Rus 59% vs the market's implied 62% at 1.61 odds, producing a -5.2% expected value — no edge here.
LEVEL AND RANKING

The core gap between these two players is structural: Rus sits at #119 with a 1494 Elo rating, well clear of Paquet's #236 ranking and 1425 Elo. That difference translates into the model's 59% baseline win probability for Rus, reflecting a meaningful but not overwhelming class edge — this is a clear favorite, not a lock.

SERVE AND RETURN BALANCE

Rus also holds a tangible edge in the underlying point-by-point numbers: she wins 57% of her service points against Paquet's 53%, and she returns better too (51% vs 48%). Because she is stronger on both sides of the ball, she does not need to rely on one dimension of her game to control rallies, which reinforces the ranking-based edge rather than just restating it.

FORM AND SCHEDULE LOAD

Recent form is roughly a wash and mildly favors Paquet on paper — she is 4-6 in her last 10 matches (LLWWLLWLLW) compared to Rus at 3-7 (LLLLWWLWLW). Both players reached the Hamburg semifinals a day ago, so the deep-run fatigue applies to each of them equally as context, not as a differentiator.

Where the schedule does separate them is cumulative load: Rus has played 6 matches in the last 14 days versus Paquet's 4, which is a real physical difference even though both are working on one day of rest. Layered on top of that, the data flags a 369-day layoff for Rus as a rustiness risk — a caution worth noting even though her current serve/return numbers look solid.

VALUE READ

At odds of 1.61, the market implies a 62% win probability for Rus, while the model puts her at 59%. That gap produces a -5.2% expected value, meaning the price is slightly rich relative to the model's own estimate. Rus is the more probable winner based on ranking, Elo, and serve/return quality, but being the favorite here is not the same as being a value bet — on this pricing, there is no statistical edge to lean on.

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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