Rafael Jodar vs Corentin Moutet — predicción
Bote regular y velocidad media-alta: condiciones neutras, sin favorecer un estilo.
Ambiente cálido: la bola vuela algo más y el físico cuenta.
Aire húmedo: la bola pierde algo de velocidad.
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.
›Ranking: #24 vs #57 (mejor clasificado)
›Forma reciente: 7/10 en los últimos partidos
›Con ritmo de partido: 5 partidos en las últimas 2 semanas
›Modelo 66% vs mercado 74% → el modelo lo ve menos probable que la cuota
Jodar holds a commanding level advantage: ranked #24 to Moutet's #57, a 254 Elo-point gap (2068 vs 1814). The ATP factor model calibrates this into a 66% win probability for Jodar. Moutet has slipped −21 places in ranking trend; Jodar has climbed +5, reinforcing the direction of the gap. This is not marginal—the hierarchy is clear and recent.
Jodar arrives on a 7-win-in-10 run with consecutive wins over Elo-2083 Fils and Elo-2036 Musetti—genuine ATP-level scalps. Moutet, by contrast, has won just 2 of his last 10 (LLLLWLLLLW), with no quality wins to report. His lone recent win does nothing to restore momentum. Jodar is sharp; Moutet is mired in a depth crisis.
The only structural risk for Jodar is fatigue. He reached the ATP Washington final 2 days ago and has logged 5 matches in 14 days—a heavy load. Moutet, meanwhile, has played only 2 matches in the same window and is coming off 1 day's rest. If the match extends past two sets, Jodar's body may not have fully recovered from a deep Washington run, and the cumulative load could blunt his precision and serve pace. This is context, not a probability swing, but it is the opponent's most credible avenue.
On hard court, Jodar's serve lands at 65%, just 2 points above his 71% baseline—consistent, though not elevated by the surface. Moutet's 63% serve is solid but trails Jodar by 2 percentage points. Jodar's return (38%) is 3 points ahead of Moutet's (35%), a small but systematic advantage. Surface-by-surface, hard court slightly penalizes Jodar (−14 from baseline) but penalizes Moutet more (−4 from his baseline), netting a −6 point edge for Jodar. None of these are swing factors, but they align with his ranking.
The ATP factor model assigns 66% to Jodar at 1.34 odds (market-implied 75%), yielding an expected value of −11.2%. The model sees Jodar as *less* likely to win than the market prices him. In plain terms: backing Jodar at these odds is slightly negative-expectation. The ranking gap, form contrast, and serve edge all support Jodar as the likely winner, but the odds have already priced in more than the model suggests is justified. A smart bettor would either fade the favorite here or wait for longer odds. Moutet's rest advantage and Jodar's fatigue are real but insufficient to overturn the quality gap—they merely tighten a match the model believes Jodar should win by a clearer margin than the market is paying.
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.