CÓMO IMPORTA CADA FACTOR
Level (Elo/ranking)▸ Gauff●●●
Gauff (#7, Elo 2001) vs Bencic (#11, Elo 1918): 83-point gap favors Gauff. Model assigns 54% to Gauff, consistent with ranking advantage.
Head-to-head▸ Gauff●●●
Gauff leads 7–2 in 9 meetings; won last 4 straight (2026 sweep + 1 in 2025). Clear dominance pattern favors Gauff.
Form▸ Gauff●●
Gauff 7/10 recent with 3-match streak and quality wins vs Pegula (Elo 1970). Bencic also 3-match streak but no quality wins; weaker recent baseline.
Rest/Fatigue▸ Bencic●●
Gauff played 3 matches in 14 days, last match 1 day ago. Bencic: 2 matches in 14 days, 3 days rest. Fatigue favors Bencic slightly.
Serve/Return▸ Bencic●●
Bencic serves 64% vs Gauff 62%; Gauff returns 46% vs Bencic 44%. Bencic's serve edge (+2%) outweighs Gauff's marginal return edge.
Surface (Hard)= Igualado●
Gauff 72% on hard, Bencic 69%: only 3-point gap, both solid. Gauff slightly favored but not decisive.
Weather= Igualado●
Warm (26°C), humid (71%), some wind (19 kmh). Warm/humid favor baseline play; wind hurts precision but no player profile to isolate impact.
Ranking & Head-to-Head Dominance
Gauff holds a clear edge on paper: ranked #7 with an Elo of 2001, compared to Bencic's #11 and 1918—an 83-point gap that is meaningful in professional tennis. The head-to-head record amplifies this: Gauff leads 7–2 across 9 meetings, including a perfect 4–0 run in 2026 (three WTA wins plus one 2025 victory). This is not statistical noise; Bencic has no recent wins, and the pattern suggests a stylistic or mental edge for Gauff in this matchup.
The model's 54% probability for Gauff reflects this structural advantage. Her ranking, Elo, and head-to-head record all point in the same direction, making her the consensus favorite on fundamentals.
Form & Momentum
Gauff's recent form is stronger: 7 wins in her last 10 matches with a current 3-match winning streak and quality scalps against J. Pegula (Elo 1970) twice. Bencic also carries a 3-match streak but from a weaker baseline (lost the two matches immediately before it) and has recorded no quality wins. Both are building momentum into Toronto, but Gauff's underlying form is superior.
This reinforces the favorite label without dramatically shifting probability. Form is volatile, especially late in tournaments, but Gauff's recent body of work is more convincing.
Rest & Serve/Return Detail
One genuine complication: Gauff has played 3 matches in 14 days with only 1 day of rest since her last match, while Bencic has played 2 in 14 days and rested 3 days. Hard courts demand leg freshness, and cumulative fatigue can dull serve and movement. This edge is not large—it is medium weight—but it is real and measurable.
On serve and return, Bencic holds a narrow but tangible advantage: she wins 64% of points on serve versus Gauff's 62%, and Bencic wins 44% on return versus Gauff's 46%. The +2% serve edge is slightly larger than the +2% return edge, making Bencic's serving the relative strength. On a hard court in warm, humid conditions, a reliable first serve can be leveraged, and Bencic's 64% suggests she is a more consistent server in this matchup.
Surface & Conditions
Both players are solid on hard court (Gauff 72% career, Bencic 69%), a 3-point gap that favors Gauff but is not decisive. The weather—warm, humid, some wind—does not obviously favor either player's style. Wind typically punishes precision and can disrupt rhythm, but without a clear profile of either player's wind sensitivity, this is neutral. The humidity may slightly lengthen rallies and reduce serve speed, but both are professional hard-court players accustomed to such conditions.
Value & Honest Assessment
The model assigns 54% to Gauff; the market (odds 1.66) implies 60%. This is a 6-point discrepancy in Gauff's favor, but the expected value is −10.4%, meaning betting Gauff at 1.66 is not profitable. The market has priced her above the model's estimate, likely overweighting her ranking and head-to-head dominance or underestimating Bencic's recent form and serve advantage.
Gauff is the clear favorite and statistically the higher-quality player. However, the odds do not compensate for that quality: you are paying a premium. Bencic is fresher, serves better, and has no statistical evidence of being outmatched on this surface or in these conditions. If you believe the model (54%) over the market (60%), Gauff offers no edge. The match is highly likely to follow the form and ranking, but that outcome is already baked into the price.
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.