Bote regular y velocidad media-alta: condiciones neutras, sin favorecer un estilo.
Ambiente cálido: la bola vuela algo más y el físico cuenta.
Aire seco: la bola viaja con normalidad.
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: #179 vs #139
›Forma reciente: 3/10 en los últimos partidos
›Cara a cara: 1-0 a favor
›Modelo 52% vs mercado 32% → el modelo lo ve MÁS probable que la cuota
!Vuelve tras un parón largo (25d) — posible falta de ritmo
Harris is the measurably stronger player by ranking (139 vs 179) and Elo (1910 vs 1818). Both margins are substantial and consistent. However, Tomic has matched or exceeded Harris's recent form: both are 9–1 over the last 10 matches, with near-identical hot streaks. Tomic's single loss sits older in the window, while Harris's loss is fresh. The form surge narrows the class gap but does not reverse it; Harris remains the higher-rated player entering this match.
Harris has arrived at the US Open in a severely compromised physical state. He carries 10 matches in the last 14 days and reached the semi-finals of Cancun 2 just 2 days before this match. His rest is 2 days. Tomic, by contrast, enjoyed 12 days without play and only 1 match in the prior 14 days. This is a marked asymmetry. Deep-run fatigue and schedule congestion are context flags explicitly recorded against Harris. Over the course of a best-of-three or best-of-five set match, this fatigue burden typically compounds, especially against a fresh opponent who has had time to prepare and recover.
Tomic serves at 65% and returns at 38%. Harris serves at 66% and returns at 39%. The differences are marginal—1 percentage point on serve, 1 on return. Neither player has a documented serve or return edge over the other based on the metrics provided. This removes a potential separation axis and suggests the match will hinge on baseline consistency, court positioning, and mental sharpness rather than on explosive serving or aggressive returning patterns.
The ATP factor model assigns Tomic 52% win probability; the market (odds 3.1) implies 32%. This creates a reported expected value of +60% on a Tomic bet, nominally attractive. However, this gap warrants scrutiny. The model's own out-of-sample accuracy is ~65%, meaning it is not infallible. Harris's ranking advantage (92 Elo, 40 spots) is real and structural; the model may overweight Tomic's recent hot form and Tomic's rest advantage relative to Harris's class. Fatigue and schedule burn-out can swing matches, but Harris is still the technically superior player. The market's 32% may be heavily influenced by Harris's ranking and Elo rating, depressing Tomic's odds despite his fresh legs. Being favorite (per the model) is not the same as having value; a 52 vs 32 gap is sizable, but the soft ATP market and the genuine ranking gap suggest caution. The edge, if real, is modest and assumes the model's fatigue and form weighting is correct.
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.