MODEL PREDICTION · 2026-07-26

A. Vukic vs A. Boltprediction

✓ Correct
VUKICWIN PROBABILITYBOLT
51%
model prob.
@1.36
odds · 74% impl.
🎾Serve 65%📈Form 7/10 · 6✓
THE MODEL'S REASONING

Ranking: #104 vs #165 (better ranked)

Recent form: 2/10 in recent matches

Model 51% vs market 74% → the model sees it as less likely than the odds

WATCH FOR

!Coming off 4 losses in a row

!Returning from a long layoff (27d) — possible rustiness

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.95
fair odds
−30.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Vukic●●
Vukic is ranked #104 (Elo 1818) versus Bolt's #165 (Elo 1776), yet the model gives just 51%, a narrow edge.
Form▸ Vukic●●●
Vukic has won his last six matches (7-3 over the last 10) while Bolt has lost four of his last five, clearly favoring Vukic.
Serve/return= Even
Bolt serves slightly better (68% vs 65%) but Vukic returns better (36% vs 32%); the two edges largely offset.
Rest▸ Bolt●●
Both had one day off, but Vukic played six matches in 14 days against Bolt's one, adding fatigue risk for Vukic.
Market Value= Even●●●
Model's 51% sits well below the market's 65% implied probability, yielding a -21.4% expected value on Vukic at 1.53 odds.
FORM AND MOMENTUM

Vukic arrives with clear momentum: six straight wins and a 7-3 record over his last ten matches. Bolt, by contrast, has won only three of his last ten and has just one win in his last six, a sharp form gap that supports Vukic as the more battle-tested player heading into this match.

This kind of form disparity tends to matter most in tight, evenly-elo'd contests like this one, where confidence and rhythm on court can tip close sets. Vukic's recent consistency gives him a tangible, data-backed edge independent of the ranking gap.

SERVE AND RETURN PATTERNS

The service numbers cut both ways. Bolt wins 68% of his service points compared to Vukic's 65%, a modest but real edge that suggests Bolt can hold serve slightly more comfortably. Vukic compensates on the return, winning 36% of return points against Bolt's 32%, meaning he is the more effective returner of the two.

Taken together, these numbers largely cancel out: Bolt's extra hold security is offset by Vukic's superior return production. Neither player has a decisive mechanical advantage in this specific serve-return matchup based on the data provided.

SCHEDULE LOAD

Both players are working on one day of rest, and both reached the semifinals at this same Washington event just one day ago, so the immediate fatigue exposure from that deep run is shared equally and does not tilt the match either way.

The bigger scheduling gap is cumulative: Vukic has played six matches in the last 14 days against just one for Bolt. That workload difference raises legitimate questions about Vukic's freshness over a longer match, even if today's single day of rest is identical for both.

LEVEL GAP

On paper, Vukic holds the higher level: Elo 1818 versus 1776, and a ranking of #104 versus #165. That is a real gap in long-run quality, but the calibrated model narrows it substantially, giving Vukic only 51% to Bolt's 49% — essentially a coin flip once form, rest, and matchup specifics are folded in.

This tells us the ranking and Elo advantage, while real, is not large enough on its own to make Vukic a clear favorite in this particular match.

VALUE READ

The market prices Vukic at 65% implied probability (odds of 1.53), while the model's out-of-sample calibration puts him at just 51%. That 14-point gap produces a -21.4% expected value, meaning the price does not compensate for the model's assessed risk, even though Vukic is projected to win more often than not.

Being the favorite here is not the same as being a value bet. Based on this data, backing Vukic at these odds is a bet against the model's own numbers, and the honest read is that the market is overpricing him relative to the calibrated probability.

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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