T. Korpatsch vs J. Stusek — prediction
›Ranking: #78 vs #913 (better ranked)
›Recent form: 3/10 in recent matches
!Coming off 3 losses in a row
!Returning from a long layoff (23d) — possible rustiness
The Elo spread (1521 vs 1476) and the ranking gulf (#78 vs #913, per the model's own reference) both point the same way: Korpatsch is the far more established player, and the 84% model probability reflects that gap in class rather than any single hot streak.
This is the single largest driver of the pre-match numbers, and it is the reason Korpatsch is priced as a heavy favorite despite her recent results.
Korpatsch's recent form is a genuine concern: 3 wins in her last 10 matches and a current 1-match losing streak. That is the kind of drop-off the model flags as a risk even for a much better-ranked player.
Stusek, by contrast, arrives having just broken a four-match losing skid with a win, though her overall 1-5 last-10 record is still well below average. The net effect is that form narrows — without closing — the gap implied by class and ranking.
Korpatsch has had 14 days since her last match, playing only once in the last two weeks, while Stusek is on a quick 2-day turnaround having played twice in that span. In isolation, that rest edge should help Korpatsch's legs over a potential three-set match.
The caveat is the layoff itself: 23 days without competitive minutes is flagged as a rustiness risk, which can offset some of the physical freshness advantage, particularly in the opening set.
Warm, humid air (18°C, 65% humidity) with 21 km/h wind is the kind of setting that lengthens rallies and punishes shot-making precision. Without a documented serve or return percentage for Stusek, it is not possible to say which player's game is more exposed to these conditions.
Korpatsch's own numbers — 52% serve points won against a 47% baseline, but a modest 37% return rate — suggest a player who serves slightly above her norm but is not dominant on return, which matters if the wind disrupts her first-serve placement.
The model gives Korpatsch an 84% chance to win, but the market is pricing her even shorter at an implied 88% (odds of 1.13). That gap produces a -5.1% expected value on the favorite — the market is not underestimating her, if anything it is slightly more confident than the model.
Being the favorite here is not the same as being a value bet. On these numbers, backing Korpatsch at 1.13 is a bet on a real class edge, but not one the data says is mispriced in the bettor's favor.
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.