PREDICCIÓN DEL MODELO · 2026-08-04
HARD

Jenson Brooksby vs Adam Waltonpredicción

✓ Acertado
BROOKSBYPROBABILIDAD DE VICTORIAWALTON
59%
prob. modelo
@1.82
cuota · 55% impl.
Descanso 4d vs 3dHard 46%🎾Saque 64%📈Forma 6/10
CONDICIONES DEL PARTIDOen el modelocontexto
Superficie
Dura

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

Temperatura
24°C

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

Humedad
63%

Aire húmedo: la bola pierde algo de velocidad.

Viento
13 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: #77 vs #96 (mejor clasificado)

Forma reciente: 6/10 en los últimos partidos

Con ritmo de partido: 3 partidos en las últimas 2 semanas

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.
@1.69
cuota justa
+7.8%
valor esperado
CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Walton●●●
Walton's Elo 1889 exceeds Brooksby's 1814 (75 pts), despite worse ranking (#96 vs #77). Model assigns Brooksby 59% despite the Elo gap: ranking favors him, but Elo leans opponent.
Form▸ Walton●●●
Walton won 2 quality matches (Michelsen 1960, Kokkinakis 1937) with streak +1; Brooksby 6/10 recent, streak −1, only beat Buse (1920). Walton's recent wins are stronger.
Rest/Fatigue▸ Brooksby●●●
Both carry deep-run fatigue (Brooksby: QF Los Cabos 4d ago; Walton: Final Montreal 3d ago). Walton played deeper, more recent; Brooksby has +1 day recovery but more fatigue burden on opponent.
Surface▸ Brooksby●●
Brooksby: 46% hard court, 49% baseline (−3 edge vs baseline). Walton: 37% hard, 37% baseline (0 edge). Hard court penalizes Brooksby 3 pts relative to his average; neither gains advantage.
Serve/Return= Igualado●●
Brooksby serves 64%, returns 39%; Walton serves 65%, returns 40%. Walton holds marginal serve edge (+1%); return nearly identical. No decisive lever either side.
Weather= Igualado
24°C, 64% humidity, 14 km/h wind. Warm, humid conditions lengthen rallies and aid returning; neither player profile strongly favors or disfavors these patterns.
LEVEL PARADOX

Jenson Brooksby is ranked #77 to Adam Walton's #96, yet Walton's Elo (1889) outscores Brooksby's (1814) by 75 points—a substantial margin in ATP strength metrics. This divergence suggests Brooksby's ranking is driven by recent tournament results or tournament inflation, while Walton's Elo reflects deeper match-level performance. The model's 59% for Brooksby partly leans on ranking, but the Elo gap is real and material: Walton is the stronger player by classical rating.

FORM & MOMENTUM

Walton arrives with momentum: two quality wins in his last ten matches (Michelsen at 1960 Elo, Kokkinakis at 1937), and a current winning streak. Brooksby is at 6/10 recent form with a losing streak, and his only quality scalp (Buse, 1920 Elo) is weaker than Walton's pair. Montreal's surface and conditions do not repair this form gap: Brooksby's hard-court record (46%) sits 3 points below his 49% baseline, suggesting he is below his average here. Walton's 37% hard-court rate matches his baseline, signaling stability.

FATIGUE & RECOVERY

Both players carry substantial fatigue from deep recent runs. Brooksby reached the quarter-finals at Los Cabos four days ago; Walton reached the final at Montreal three days ago—essentially yesterday. Walton's burden is heavier (final vs. QF, fresher opponent is worse positioned), but the calendar is tight for both. Brooksby has a one-day recovery advantage, but Walton's deeper run ended more recently, and the physical toll of a final—even in a loss—typically exceeds a quarter-final exit. This context favors Brooksby conditionally, but it is not decisive.

SERVE & RETURN STANDOFF

Serve percentages are nearly identical: Walton 65%, Brooksby 64%. Return rates are also equivalent (both ~39–40%). Neither player holds a clear serve or return advantage. On hard court at 24°C with 64% humidity and 14 km/h wind, conditions are stable and neutral; the 14 km/h wind is moderate and does not heavily punish precision-dependent players. Both will rely on consistency in the rally, not leverage from conditions.

VALUE & PROBABILITY

The market implies 55% for Brooksby (odds 1.82), while the model assigns 59% and an expected value of +7.8%. The edge is narrow and contingent on ranking outweighing Elo—a reasonable but unproven premise in this pair. Brooksby is the favorite, but not the stronger player by traditional ATP strength; Walton's Elo advantage, superior recent form (two quality wins, current streak), and only marginal fatigue recovery lag create legitimate competitive tension. The model's slight lean to Brooksby reflects his ranking and match sharpness (3 matches in 14 days), but the margin is modest and honesty requires acknowledging that Walton is the deeper match threat. The 7.8% EV is real but thin; the market is nearly fair.

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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