Stefan Kozlov vs Max Wiskandt Head-to-Head Stats, Results & Performance Comparison

Examining the recent form of Wiskandt and Kozlov reveals that Wiskandt has secured 47.97% of points from their second serve in the past six months, compared to 38.46% by Kozlov. Historically, second serve performance strongly correlates with match outcomes. In return games, Kozlov edges ahead by winning 50.56% of opponents' second serve points, while Wiskandt has achieved 47.64%. The return rate for first serves stands at 30.21% for Kozlov and 26.49% for Wiskandt; these figures notably influence head-to-head match predilections.

When breaking down pressure situations, Wiskandt has saved 56.74% of breakpoints, marginally outperforming Kozlov at 51.75%. Such statistics are indispensable for predicting in-game scenarios. Over the last year, Wiskandt has achieved a match win rate of 61.45% (W/L 51/32), with Kozlov slightly outperforming at 61.76% (W/L 21/13). This forms a comprehensive picture when determining who may prevail in upcoming matches.

On specific surfaces, Wiskandt holds a superior win percentage on Hard courts at 66% (W/L 84/44) but struggles on Clay with only a 46% success rate (W/L 31/36). Conversely, Kozlov excels on Indoor Hard surfaces with a 63% win record (W/L 80/47) but finds Grass challenging, reflected in a 39% win rate (W/L 15/23). Both players have focused on different tournament levels, with Wiskandt playing predominantly in Futures/Satellites/ITF tournaments and securing a 65.12% win rate (W/L 28/15), as opposed to Kozlov's preference for Challenges/ITF tournaments above $10K, maintaining a 64.52% win rate (W/L 20/11).

Critically considering the quality of opponents, Wiskandt has engaged with players averaging a rank of 426.05, while Kozlov faced considerably higher-ranked competitors with an average rank of 164.18. This disparity could provide Kozlov with a competitive edge. Moreover, in matches extending to deciding sets, Kozlov has triumphed in 60% of such scenarios over the past year, versus Wiskandt's 54%. Break point conversion presents another dimension; recently, Kozlov has achieved a 39.13% conversion, narrowly exceeding Wiskandt's 38.82%.

If one were to synthesize all these statistics to predict the winner of this forthcoming tennis match, slight advantages in returning statistics, opponent quality, and deciding set outcomes suggest Kozlov might have the upper hand over Wiskandt. However, incorporating different event forms and the unpredictable nature of tennis could still tip the scales in unexpected ways.