MODEL PREDICTION · 2026-07-20

C. Ugo Carabelli vs T. Droguetprediction

✗ Missed
CARABELLIWIN PROBABILITYDROGUET
58%
model prob.
@1.85
odds · 54% impl.
🎾Serve 62%📈Form 6/10
THE MODEL'S REASONING

Ranking: #58 vs #119 (better ranked)

Recent form: 5/10 in recent matches

Match-sharp: 3 matches in the last 2 weeks

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.
@1.72
fair odds
+7.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Carabelli●●●
Carabelli's #58 ranking and rising trend (+1) outweigh Droguet's higher Elo (1924 vs 1890) and stronger baseline (60% vs 46%).
Form▸ Carabelli●●
Carabelli's quality wins over Tiafoe (2031) and Berrettini (1965) top Droguet's single win over Blockx (1998).
Rest▸ Carabelli●●
Both rested 4 days, but Droguet played 8 matches in 14 days versus Carabelli's 3, adding fatigue risk.
Serve/return= Even
Serve numbers are nearly identical (62% vs 63%) and return games mirror each other (39% vs 38%), no real edge.
Ranking trend▸ Carabelli●●
Carabelli is trending up (+1) while Droguet has fallen 12 places, signaling diverging momentum beyond the raw ranking gap.
LEVEL VS RANKING

The data shows a split picture at the top: Droguet actually holds a higher Elo (1924) than Carabelli (1890), and the baseline model even favors him 60% to 46% before other adjustments. Yet Carabelli's ranking (#58 vs #119) and positive trend (+1 vs -12) pull the final model probability back in his favor, 58% to 42%.

This tension matters: the ranking and trend metrics suggest Carabelli's results have been more consistently converted into ATP points recently, while Droguet's Elo edge may reflect strong underlying play that hasn't yet shown up in his ranking, which has dropped sharply.

FORM AND QUALITY WINS

Both players enter with a similar recent record and a losing streak of one, but the quality of wins differs. Carabelli's résumé includes victories over Tiafoe (Elo 2031) and Berrettini (Elo 1965), both notably stronger opponents than Droguet's best win, a match against Blockx (Elo 1998).

This gap in ceiling performances suggests Carabelli has shown he can raise his level against elite competition, a data point that supports his favorite status independent of the raw Elo numbers.

SCHEDULE LOAD

Both men are equally rested in terms of days off (4 each), so freshness itself is not a differentiator. The real gap is workload: Droguet has played 8 matches in the last two weeks compared to Carabelli's 3, a significant difference in physical toll heading into this match.

Both players also reached the Umag quarterfinals 4 days ago, so the deep-run fatigue flag applies to each equally and does not tilt the match either way on its own.

SERVE-RETURN BALANCE

The serve and return numbers are essentially a wash: Carabelli serves at 62% and returns at 39%, while Droguet serves at 63% and returns at 38%. Neither player has a meaningful statistical advantage in these core categories, so this factor contributes little to the overall edge.

VALUE READ

The model places Carabelli at 58% against a market-implied 54% (odds 1.85), producing a modeled edge of about 7.6%. That gap is modest, and it should be read as the model leaning slightly ahead of the market rather than a strong signal of mispricing.

Given that Droguet actually holds a higher Elo and a better baseline surface-neutral rating, the case for Carabelli rests mainly on ranking trend, workload, and quality of recent wins. This is a reasonable, data-backed lean, but not a lock — treat the value as modest and conditional on those specific edges holding up.

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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