The final rounds of ATP and WTA tournaments often present a different psychological and tactical landscape compared to earlier stages. Even established favourites such as Aryna Sabalenka, Elena Rybakina, or Stefanos Tsitsipas may show measurable shifts in performance when stakes rise in semi-finals and finals. This phenomenon has a direct impact on live betting, match predictions, and risk management for professional traders and fans alike.
Performance Patterns of Favourites in Semi-Finals and Finals
From 2023 to mid-2025, data shows that favourites win around 69% of semi-final and final matches on average, compared to 76% in earlier rounds. This drop is particularly noticeable on clay courts, where longer rallies and mental endurance play a larger role. While grass courts exhibit fewer fluctuations due to quicker play styles, hard courts demonstrate a middle-ground consistency.
Sabalenka, for instance, had a win rate of over 80% in early rounds across all surfaces but managed only 60% in finals during 2023–2024. Tsitsipas experienced similar inconsistencies, especially in tight three-set encounters. These figures suggest that late-stage performance is impacted by mental pressure and not purely technical execution.
Interestingly, underdogs tend to exhibit more aggressive play in these rounds, often outpacing favourites in break-point conversion and unforced error control. The data reveals that favourites’ consistency wanes in critical moments, impacting the expected value of bets placed on them during live play.
First Serve Effectiveness and Tiebreak Pressure
First serve percentage among favourites decreases by an average of 4–6% in finals compared to their average in earlier matches. This pattern holds across all surfaces. For example, Rybakina’s first serve success rate dropped from 68% to 62% in the 2024 Rome final, resulting in multiple breaks against her serve.
Tiebreak outcomes also point to a change in composure. Favourites won just 54% of tiebreaks in finals versus over 65% in previous rounds. The pressure to close sets decisively often leads to more tentative play, reducing their edge in high-leverage points.
In the 2025 Indian Wells final, Tsitsipas failed to convert three set points in a tiebreak, marking one of several cases where the psychological load altered otherwise reliable serving and rally patterns. This showcases how top-ranked players are not immune to behavioural shifts under spotlight conditions.
Comparative Surface Analysis: Clay, Grass, and Hard
Clay courts exhibit the most significant drop-off in performance for top seeds. Longer rallies and physically grueling exchanges tend to test the endurance and patience of favourites. From 2023 to 2025, only 61% of semi-final matches on clay were won by higher-ranked players.
On grass, where points are shorter and serve-dominant strategies prevail, the percentage holds more stable—around 72%. Players like Rybakina and Sabalenka, known for their explosive serves, maintain a more consistent performance profile on grass, even in finals.
Hard courts, meanwhile, present the most balanced scenario. With moderate ball speed and fewer external variables, the outcome depends largely on players’ adaptability and in-game strategies. Favourites win 68% of their late-stage matches here, although they still show a dip in service consistency and mental composure under pressure.
Unforced Errors and Tactical Shifts
Unforced error rates among favourites in finals increase by an average of 12–18%, suggesting nervousness or rushed decision-making. In the 2025 Madrid semi-final, Sabalenka committed 38 unforced errors—10 more than her tournament average—highlighting the effects of pressure.
This tendency is amplified when players shift to more conservative tactics in critical sets. Instead of exploiting their aggressive baseline dominance, favourites often default to safer shots, resulting in longer rallies and more opportunities for underdogs to force errors.
These findings imply that betting models and trading algorithms must account for a significant increase in psychological load during semi-finals and finals, particularly for WTA matches where momentum swings tend to be sharper and more frequent.

Key Takeaways for Analysts and Bettors
The behavioural shifts observed in favourites during late stages are not just anomalies—they are recurring patterns backed by over two years of data. Understanding these tendencies offers a strategic edge in forecasting outcomes and setting realistic expectations in live markets.
Live bettors should be cautious about overvaluing favourites in high-pressure matches, especially when early signs of mental fatigue or increased unforced errors appear. Trading models should integrate dynamic variables like surface type, prior match fatigue, and psychological indicators from past performances in finals.
Ultimately, data from 2023–2025 affirms that even elite players alter their decision-making, risk tolerance, and execution when titles are on the line. Recognising these patterns is essential for crafting nuanced analyses, avoiding mispriced bets, and gaining long-term advantage.
Case Studies: Sabalenka, Tsitsipas, Rybakina
Sabalenka’s Grand Slam finals reveal the most drastic shifts. Despite strong early-tournament dominance, her first serve volatility and rising error count often derail her rhythm in championship matches. Her 2024 Australian Open final is a textbook case of this trend.
Tsitsipas, while dominant in mid-tier tournaments, frequently struggles in ATP 1000 and Grand Slam finals. His return games show visible decline, and pressure affects both his forehand accuracy and decision-making on second serves.
Rybakina’s data shows that she is less affected by mental pressure on faster surfaces but demonstrates similar drops in performance during clay-court finals. Her backhand stability decreases, and cross-court exchanges lead to unforced mistakes, especially under scoreboard pressure.