PREDICCIÓN DEL MODELO · 2026-08-24
● HARD

D. Svrcina vs F. Meligeni Alves — predicción

✓ Acertado
SVRCINAPROBABILIDAD DE VICTORIAALVES
73%
prob. modelo
@1.23
cuota · 81% impl.
⚔H2H 0–1 Svrcina⏱Descanso 6d vs 4d◐Hard 46%🎾Saque 58%📈Forma 2/10 · 4✗
CONDICIONES DEL PARTIDO◆ en el modelo◇ contexto
Superficie◆
Dura

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

Temperatura◇
27°C

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

Humedad◇
42%

Aire seco: la bola viaja con normalidad.

Viento◇
16 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: #114 vs #567 (mejor clasificado)

›Especialista en pista dura: rinde un +8% por encima de su base (44% en su carrera en esta superficie)

›Modelo 73% vs mercado 81% → el modelo lo ve menos probable que la cuota

›Forma reciente: 2/10 en los últimos partidos

OJO CON

!Viene de 4 derrotas seguidas

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.
@1.38
cuota justa
−10.6%
valor esperado
CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Svrcina●●●
Svrcina #114 vs Meligeni Alves #567; Elo 1792 vs 1818 (opponent higher but ranking gap dominates). Model gives Svrcina 73% — justified by tier difference.
Form▸ Alves●●●
Meligeni Alves 9/10 last matches (streak +8); Svrcina 3/10 (streak −4). Opponent arrives in peak shape; favorite in significant slump.
Head-to-head▸ Alves●●
Meligeni Alves beat Svrcina 1–0 in 2023 ATP Singles. Small sample, but recent proof opponent can execute under pressure.
Serve/return▸ Alves●●
Meligeni Alves serves 64% (vs Svrcina 58%); returns 39% vs opponent's 43%. Opponent's serve edge more valuable on hard court; return gap minimal.
Rest/fatigue▸ Svrcina●
Svrcina 6 days rest, 2 matches in 14 days; Meligeni Alves 4 days, 3 matches. Slight edge to Svrcina, but both reasonably recovered.
Surface▸ Svrcina●●
Svrcina 46% on hard (+11 pts above 35% baseline, hard specialist at +8%). Meligeni Alves surface % unavailable. Svrcina has documented hard-court strength.
Weather= Igualado●
25°C, 54% humidity, 18 km/h wind. Warm and relatively dry; wind may disrupt precision, but neutral between styles given data.
RANKING FAVORS SVRCINA, FORM OPPOSES

Svrcina enters as the higher-ranked player (#114 vs #567), and the model's 73% probability reflects that tier difference legitimately. However, the form data inverts the narrative: Meligeni Alves has won 9 of his last 10 matches with a +8 streak, while Svrcina has won only 3 of 10 with a −4 streak. This is not noise—it is a sustained, sharp divergence in momentum.

The ranking gap is real and substantial, but form is immediate. Svrcina's slump is recent and deep; Meligeni Alves arrives as a machine. The 2023 head-to-head result (opponent victory in ATP play) adds weight to the possibility that Meligeni Alves can exploit a favorite in poor condition.

SERVE EDGE AND HARD-COURT SKILL

Svrcina brings a hard-court specialist profile: 46% win rate on the surface, 11 points above his 35% baseline, and documented +8% hard-court bonus. Meligeni Alves' hard-court percentage is unknown, limiting our ability to measure surface-specific vulnerability. This is a concrete advantage to Svrcina on paper.

However, Meligeni Alves serves at 64%, a material 6-point edge over Svrcina's 58%. On hard courts, where first-serve dominance is high-leverage, this is meaningful. Return rates are closer (39% vs 43%), so the serving asymmetry is the more significant serve/return factor. Svrcina's hard-court skill partially offsets the opponent's serve advantage.

REST AND VENUE SETUP

Svrcina has 6 days rest with only 2 matches in 14 days—a lighter recent load. Meligeni Alves has 4 days rest and 3 matches in the same window, suggesting slightly more cumulative fatigue. The rest edge is small and favors Svrcina marginally, but neither player is severely burdened.

The 25°C, 54% humidity, and 18 km/h wind create a warm, relatively dry environment with some wind noise. This is neutral ground—hard courts play faster in such conditions, but both players must navigate the same weather. The wind may punish imprecision, but there is no clear style mismatch to exploit.

MODEL VS. MARKET: SMALL EDGE, LITTLE VALUE

The model assigns Svrcina 73% probability; the market implies 75% (odds 1.33). This is a 2-point disagreement—negligible. The expected value is −3.3%, meaning the offered odds undervalue Svrcina slightly, but the gap is within model margin of error. Betting Svrcina at 1.33 is close to fair, not a bargain.

The structural case for Svrcina rests on ranking and hard-court specialization. The structural case against him is severe form collapse and a proven recent loss to this opponent. The market's near-consensus (75%) captures both realities—Svrcina is the ranked favorite, but his odds do not compensate for the form risk. No clear value exists on either side; this is a coin-flip priced fairly.

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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