PREDICCIÓN DEL MODELO · 2026-08-11
HARD

S. Sierra vs A. Itopredicción

SIERRAPROBABILIDAD DE VICTORIAITO
58%
prob. modelo
@1.33
cuota · 75% impl.
Descanso 7d vs 9dHard 33%🎾Saque 56%📈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: #86 vs #236 (mejor clasificado)

Forma reciente: 4/10 en los últimos partidos

Modelo 58% vs mercado 75% → el modelo lo ve menos probable que la cuota

Probabilidad calibrada del modelo (~64% de precisión fuera de muestra, validada específicamente en WTA). No es una garantía: el modelo ≈ el mercado de media, así que la cuota ya captura casi toda la ventaja. +18 · juega con responsabilidad.
@1.74
cuota justa
−23.3%
valor esperado
CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Sierra●●●
Sierra #86 (Elo 1621) vs Ito #236 (Elo 1550): 71 Elo points favor Sierra. Ranking gap reflects sustained quality edge, though Sierra's form (4/10) and trend (–30) erode baseline strength.
Form▸ Sierra●●
Sierra 4/10 last 10, streak –3; Ito 5/10, streak –1. Both slumping, but Sierra's 3-loss streak and weaker recent record (despite better ranking) slightly disadvantage her momentum.
Rest/Fatigue▸ Ito
Sierra 7 days since last match; Ito 9 days and 2 matches in 14 days vs Sierra's 1. Ito has fresher legs despite longer break; Sierra's recent activity lighter but less recovery cushion.
Surface▸ Ito●●
Hard court: Sierra 33% win rate (–15 pts vs baseline 49%), Ito 36% (6 pts above 31% baseline). Ito's hard-court edge (surface +6) outweighs Sierra's baseline quality; court penalizes Sierra's style.
Serve/Return▸ Sierra●●
Sierra serve 56% vs Ito 53%; Sierra return 42% vs Ito 44%. Slight asymmetry favors Sierra's serve margin (3 pts) over Ito's return advantage (2 pts); holds serve more reliable.
Weather= Igualado
30 °C, 60% humidity, 14 km/h wind. Heat and wind typically challenge precision and high-spin players; neither player's style data confirms differential impact; conditions are uniform.
RANKING ADVANTAGE ERODED BY FORM

Sierra enters as the heavy ranking favorite (86 vs 236) with an Elo edge of 71 points, reflecting genuine skill separation. However, her recent record undermines that advantage: 4 wins in 10 matches and a current 3-loss streak leave her vulnerable despite her baseline strength (49% win rate). Ito, ranked 236, shows a marginally stronger recent 5–5 record with only a 1-loss streak, suggesting she has stabilized her play. Sierra's ranking trend of –30 over the measurement period indicates she is losing ground; Ito's –142 is steeper, but from a much lower baseline. The Elo method assigns Sierra a 58% win probability, which the model credits as calibrated on WTA data—a meaningful but not dominant edge.

HARD COURT PENALIZES THE FAVORITE

The hard court at Cincinnati is a critical factor that works against Sierra's natural game. Sierra wins only 33% of her hard-court matches, a sharp 16-point drop from her 49% baseline, indicating the surface does not suit her style or tactical approach. Ito, conversely, wins 36% on hard courts, a 5-point gain over her 31% baseline—suggesting she adapts better to the pace and bounce. This 6-point net swing (Ito +5 vs Sierra –16) is meaningful; on fast courts, Ito's profile becomes more competitive relative to ranking. Sierra's serve (56%) still edges Ito's (53%), and her return (42%) nearly matches Ito's (44%), but these marginal serve/return advantages do not fully compensate for the surface liability.

REST AND FATIGUE MODESTLY FAVOR ITO

Sierra has had 7 days since her last match, while Ito has had 9 days. However, Ito played 2 matches in the preceding 14 days versus Sierra's single match, meaning Ito's recovery window is longer despite higher recent activity. The fatigue/rest data slightly favors Ito, though the margin is small and does not reverse the ranking gap. Both players are entering after a period of relative quiet at this tier, reducing the likelihood of acute fatigue; this is a contextual advantage for the underdog without transforming the matchup.

MARKET OVERVALUES SIERRA; MODEL SHOWS EDGE ERODING

The market prices Sierra at 80% implied probability (odds 1.25), while the calibrated WTA model yields only 58%. This 22-percentage-point gap reveals substantial overconfidence in the favorite. The positive expected value of –27.8% confirms that backing Sierra at 1.25 is not profitable on a long-run basis; the market has priced in her ranking advantage without accounting sufficiently for her form collapse, the hard-court penalty, and Ito's recent stabilization. Sierra remains the slight favorite and holds real structural advantages (Elo, ranking, serve percentage), but the odds do not reflect the actual uncertainty. For a bettor, Sierra at –27.8% EV is a fade; Ito, by inverse, holds modest positive value if her true win probability is closer to 42% than the market's 20%.

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.

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