MODEL PREDICTION · 2026-07-15

M. Arnaldi vs F. A. Gomezprediction

✓ Correct
ARNALDIWIN PROBABILITYGOMEZ
78%
model prob.
@1.29
odds · 78% impl.
🌡30° · 58% humRest 15d vs 1d🎾Serve 61%📈Form 7/10 · 2✗
THE MODEL'S REASONING

Ranking: #35 vs #137 (better ranked)

Recent form: 6/10 in recent matches

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.
@1.28
fair odds
+1.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Arnaldi●●●
Arnaldi's Elo edge (1902 vs 1749) and #35 ranking vs #137 reflect a clear class gap in his favor.
Form▸ Arnaldi●●
Arnaldi's 6/10 form includes wins over De Minaur (2044) and Tiafoe (2031), though he's lost his last two matches.
Rest▸ Arnaldi●●●
15 days off since his last match versus Gomez's 1 day rest and 5 matches in 7 days favors Arnaldi's freshness.
Weather▸ Arnaldi
Hot, humid conditions (30°C, 58% humidity) raise physical demands, compounding Gomez's heavy recent schedule and fatigue risk.
Serve/return= Even
Serve (61% both) and return (35% vs 36%) rates are essentially identical, giving no meaningful edge either way.
CLASS GAP

Arnaldi holds a clear class advantage on paper: an Elo rating of 1902 against Gomez's 1749, a 153-point gap, plus a world ranking of No. 35 compared to No. 137. Gaps of this size typically translate into comfortable favorite status.

The model reflects this with a 78% win probability for Arnaldi, which lines up exactly with the market's implied 78% at odds of 1.29 — the underlying quality difference is real, but it's already priced in.

FORM AND MOMENTUM

Arnaldi's recent body of work is stronger over a longer window, headlined by wins over Alex de Minaur (Elo 2044) and Frances Tiafoe (Elo 2031) — results that show he can trouble elite opposition — alongside an overall 6/10 record in recent matches.

Still, his immediate momentum is a caution flag: he's on a two-match losing streak, while Gomez arrives having won his last three, albeit without a single quality win to his name. Short-term form slightly favors Gomez even as the broader body of work favors Arnaldi.

FATIGUE FACTOR

Rest may be the most concrete edge in this match. Arnaldi has had 15 days off with zero matches in the last two weeks, arriving fully fresh. Gomez, by contrast, has played 5 matches in the last 7 days and has just 1 day of rest — a clear schedule-congestion pattern that tends to erode legs and focus over a match.

The hot, humid conditions (30°C, 58% humidity, 11 km/h wind) add further physical strain, which typically hurts the more fatigued player disproportionately in longer exchanges. This compounds Gomez's rest deficit rather than offsetting it.

SERVE AND RETURN

Both players show almost identical service numbers (61% each) and near-identical return numbers (35% vs 36%). This is not a match decided by a stylistic serve-return mismatch — the deciding factors are the class gap, form and rest differences covered above.

VALUE CHECK

The model's 78% probability for Arnaldi matches the market's implied 78% at 1.29 odds almost exactly, producing a modest expected value of just 1.2%. That's not a meaningful edge — it's the model essentially agreeing with the market's price.

Being the clear favorite here does not equal value: Arnaldi is rightly expected to win more often than not given the Elo gap, rest advantage and higher-quality recent wins, but there is no mispricing to exploit. This should be read as a fair-priced favorite, not a value bet.

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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