CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Valentova●●●
Valentova ranked #63 vs unranked Townsend. Model gives Valentova 58%, reflecting ranking advantage. Recent trend −21 suggests slippage; baseline still favors her.
Serve/Return▸ Townsend●●●
Townsend serves 59% vs Valentova's 55% (+4 pts). Townsend returns 39%, Valentova 47%, but opponent's serve edge is the dominant imbalance here.
Surface▸ Valentova●●
Hard court: Valentova 61% (61% career), +7 pts above baseline. Townsend 60%. Valentova's surface edge is +1 pt net; minor specialist advantage.
Recent form▸ Valentova●●
Valentova 6/10 last 10 matches (54%). Streak −1 (just lost). Townsend form unknown. Valentova's form is below her baseline (54%), a modest headwind.
Rest/Schedule▸ Valentova●
Valentova 9 days since last match, 4 matches in 14 days. Match-sharp but not fresh. Townsend rest unknown; cannot assess relative fatigue.
Weather= Igualado●
Mild (23°C), humid (57%), wind 16 km/h. Conditions favour neither style definitively; mild humidity standard for hard courts.
Ranking vs Serve Edge
Valentova's ranking advantage (#63 vs unranked) is real but modest in a WTA context. The model weights this at 58% probability — a clear favourite, but not dominant. Townsend's serve metric (59% vs 55%) is the match's sharpest imbalance and cuts against Valentova's ranking logic. A better-serving opponent, even if lower-ranked, neutralizes some of Valentova's positional edge on hard courts, where first-serve dominance typically compounds.
Valentova's return (47% vs 39%) is a structural advantage, but on hard courts with moderate wind (16 km/h), the server holds disproportionate leverage. Townsend's 4-point serve gap is the single biggest mechanical factor in play.
Surface & Form Nuance
Valentova is a modest hard-court specialist: 61% career conversion, 7 percentage points above her 54% baseline. That edge is real but not dramatic. Townsend's 60% hard-court rate suggests she is similarly at home on the surface. The +1 pt net advantage for Valentova is enough to be noted, not enough to be decisive.
Recent form is a concern for Valentova: 6 wins in 10 matches means she is playing at 54% — below her baseline (54% actual vs 54% baseline, effectively neutral, but the −1 streak suggests momentum against her). Townsend's form is unknown, which works against confidence in Valentova's slight edge here.
Match Sharpness & Recovery
Valentova has played 4 matches in 14 days and rested 9 days before this one. That is match-sharp preparation, standard for WTA, but not a significant fatigue advantage. Townsend's rest schedule is absent from the data. Without relative rest, this factor is low-weight and cannot reliably favour either player.
Model vs. Market: No Clear Value
The model assigns Valentova 58% probability; the market (via 1.49 odds) implies 67%. The expected value is −14%, meaning the odds overestimate Valentova's chance. At 1.49, this is not a profitable favourite — the market is pricing her 9 percentage points higher than the calibrated model suggests.
Valentova's ranking and hard-court profile are legitimate, but Townsend's serve advantage and Valentova's recent form slip are material counterweights. The model's 58% reflects genuine tightness; the 1.49 odds do not compensate for that uncertainty. Betting Valentova at these odds carries negative expected value. The favourite is not the better wager.
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.