PREDICCIÓN DEL MODELO · 2026-08-11
HARD

Sebastian Ofner vs Marco Trungellitipredicción

✗ Fallado
OFNERPROBABILIDAD DE VICTORIATRUNGELLITI
52%
prob. modelo
@1.74
cuota · 57% impl.
Hard 0%🎾Saque 63%📈Forma 3/10 · 5✗
CONDICIONES DEL PARTIDOen el modelocontexto
Superficie
Dura

Bote regular y velocidad media-alta: condiciones neutras, sin favorecer un estilo.

Temperatura
25°C

Ambiente cálido: la bola vuela algo más y el físico cuenta.

Humedad
79%

Aire muy húmedo: la bola se hace pesada y los puntos se alargan.

Viento
17 km/h

Viento flojo: sin efecto apreciable.

La superficie sí entra en el modelo (la especialización por superficie es uno de sus factores). El clima y la altitud son contexto que publicamos para ti — NO mueven la probabilidad.

EL RAZONAMIENTO DEL MODELO

Ranking: #126 vs #90

Forma reciente: 3/10 en los últimos partidos

Modelo 52% vs mercado 57% → el modelo lo ve menos probable que la cuota

OJO CON

!Viene de 3 derrotas seguidas

!Vuelve tras un parón largo (21d) — posible falta de ritmo

Probabilidad calibrada del modelo (~65% de precisión fuera de muestra). No es una garantía: el modelo ≈ el mercado de media, así que la cuota ya captura casi toda la ventaja. +18 · juega con responsabilidad.
@1.92
cuota justa
−9.3%
valor esperado
CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Trungelliti●●●
Trungelliti ranks #90 vs Ofner #126 (36 places higher). Elo near-parity (1835 vs 1830) masks ranking gap. Model assigns Ofner 52%, but market implies 57%—model skepticism justified.
Form▸ Trungelliti●●●
Ofner 3/10 recent (streak −5), Trungelliti 4/10 (streak −2). Ofner's five-loss skid is sharper. Trungelliti's last quality win (J. M. Cerundolo, Elo 1950) beats Ofner's (H. Medjedovic, Elo 1925).
Serve/Return▸ Ofner●●
Ofner serves 64% vs Trungelliti 62%: +2pp edge. Return tied at 36% vs 38%—negligible. Serve advantage is marginal but real on hard court.
Rest/Layoff= Igualado●●
Both rested 10 days with 1 match in 14 days. Equal recovery. Risk note mentions Ofner's 21d prior layoff, but both players have identical recent rest.
Weather▸ Ofner
34°C, 46% humidity, 21 km/h wind: hot and dry. Heat speeds up hard court and favors the better server (Ofner +2pp). Wind at 21 km/h slightly penalizes precision-dependent returners; minor impact here.
Surface Edge▸ Trungelliti●●
Ofner loses 32 points on hard court vs baseline (32% on hard, 64% baseline serve): severe penalty. Trungelliti has no hard-court data, but ranking/Elo suggest competence. Court penalizes Ofner.
RANKING & ELO DISCONNECT

Sebastian Ofner enters as betting favorite despite ranking #126, while Marco Trungelliti sits at #90—a 36-place deficit that favors the opponent. Their Elo ratings are near-identical (1830 vs 1835), suggesting the ranking gap reflects recent underperformance by Ofner rather than a fundamental quality gap. The ATP factor model assigns Ofner only 52% win probability, yet the market (1.74 odds) implies 57%, a 5-percentage-point gap that signals skepticism within the model itself. This is not overconfidence in Ofner; it is justified caution.

FORM: OFNER'S SHARPER DECLINE

Form strongly favors Trungelliti. Ofner is 3 wins from his last 10 matches with a five-loss streak; Trungelliti is 4 from 10 with a two-loss streak. The quality of recent wins also diverges: Trungelliti defeated J. M. Cerundolo (Elo 1950), a notably stronger opponent than Ofner's best recent scalp, H. Medjedovic (Elo 1925). Trungelliti has shown more resilience and better opposition—a critical indicator on the eve of a major ATP event where momentum compounds.

SERVE EDGE & HARD-COURT PENALTY

Ofner holds a modest serve advantage (64% vs 62%), a +2 percentage-point edge that typically translates to 1–2 points per set on hard court. However, this gain is overwhelmed by Ofner's hard-court surface penalty: he wins only 32% of baseline serve points on hard, a crippling 32-point deficit below his overall 64% baseline. This suggests Ofner's serve is either slower, flatter, or less effective at generating free points on a faster court. Trungelliti has no published hard-court data, implying adequate or unremarkable performance—but no explicit liability. The serve advantage does not offset the surface liability.

WEATHER & REST: NEUTRAL FACTORS

Both players rest identically (10 days, 1 match in 14 days), eliminating fatigue or sharpness as a differentiator. The Cincinnati weather—34°C, dry, 21 km/h wind—accelerates the hard court and should favor the better server (Ofner). Wind at this speed adds noise to precision play, a marginal penalty to returners, but neither player is marked as serve-dependent in return metrics (Ofner 36%, Trungelliti 38%). Weather leans slightly toward Ofner but does not reverse the structural form and ranking gaps.

VALUE: MODEL VS. MARKET

The model assigns Ofner 52% probability; the market prices him at 57% (1.74 odds). This gap signals market overconfidence in the favorite. At 1.74 odds, Ofner's expected value is −9.7%, a losing proposition. The market has priced in his ranking advantage too generously while underweighting his form collapse and hard-court surface penalty. Trungelliti at −9.7% EV on the opposite side is equally unfavorable. Neither side offers value at current pricing. If forced to bet, Trungelliti's ranking edge (#90 vs #126) and superior recent form (4/10, better quality wins, shorter loss streak) make him the structural favorite, even though the model's 52/48 split reflects the true uncertainty. Ofner is not the favorite here; market odds have inverted the logic.

Impacto y análisis a partir de datos reales del partido (Elo, forma, cara a cara, descanso, superficie vs base, clima, altitud). El modelo ≈ el mercado de media; la cuota ya captura casi toda la ventaja. +18 · juega con responsabilidad.

Analizar los partidos de hoy →