HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Lehecka●●●
Elo gap (2028 vs 1796) and ranking gap (#14 vs #109) align with the model's 76% probability, a clear class edge for Lehecka.
Serve/return▸ Lehecka●●
Lehecka's serve (70%) and return (34%) both top Wong's 67%/33%, giving him a slight edge on both ends of the point.
Baseline▸ Lehecka●●●
Lehecka wins 63% of baseline exchanges vs Wong's 45%, an 18-point gap pointing to dominant back-court control.
Form▸ Lehecka●●
Lehecka's 6/10 run includes wins over Tiafoe (Elo 2012) and Majchrzak (Elo 1945); Wong's 5/10 has no quality wins.
Rest▸ Lehecka●●
Wong has just 1 day off after 5 matches in 14 days, risking fatigue; Lehecka's 22-day layoff brings freshness but some rust risk.
CLASS GAP
The gap between #14 and #109 in the rankings, mirrored by a 232-point Elo difference (2028 vs 1796), is the foundation of this matchup. The model's 76% probability for Lehecka reflects that this is not a close contest on paper — Wong is competing well above his current ranking tier in taking on a top-15 player.
This kind of gap usually shows up most clearly in the biggest points of the match, where the higher-rated player's composure and shot tolerance tend to hold up better under pressure.
SERVE AND BASELINE
Lehecka holds a modest edge on serve (70% vs 67%) and return (34% vs 33%), meaning he should have a slight advantage in holding his own service games and occasionally testing Wong's. Neither gap is dramatic on its own.
The bigger separator is baseline play: Lehecka's 63% baseline-points-won rate is 18 points clear of Wong's 45%. That kind of gap in extended rallies suggests Lehecka can outlast Wong once points go beyond the first two or three shots, which matters even if the serve numbers alone look closer.
FORM AND SCHEDULE
Lehecka's last 10 matches (6-4) include wins over Tiafoe (Elo 2012) and Majchrzak (Elo 1945) — results against legitimate opposition. Wong is 5-5 over his last 10 with no listed quality wins, suggesting his recent success has come against lower-tier competition.
Schedule congestion adds another layer: Wong has played 5 matches in the last 14 days and enters with just 1 day of rest, a workload that can erode legs and focus by the middle sets. Lehecka, by contrast, hasn't played in 22 days — a clean rest advantage, though it does carry a stated risk of ring rust after the long layoff.
VALUE READ
The model's 76% for Lehecka sits below the market's implied 79% (odds of 1.26), producing a projected expected value of -4%. In practical terms, the market is pricing Lehecka slightly shorter than the model thinks is justified — the sportsbook has already absorbed the ranking, form, and workload edges discussed above, and then some.
Lehecka is the deserved favorite here, backed by real gaps in ranking, Elo, baseline performance, and recent form. But being the likely winner is not the same as being a good bet at this price: on the numbers given, backing him at 1.26 does not offer positive value.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.