M. Sakkari vs H. Dart — prediction
›Ranking: #43 vs #152 (better ranked)
›Recent form: 4/10 in recent matches
›Model 70% vs market 79% → the model sees it as less likely than the odds
The most reliable signal here is the level gap: Sakkari's Elo of 1685 sits well above Dart's 1503, and the ranking difference (#43 vs #152) reinforces it. The model's baseline probabilities, 43% for Sakkari against just 14% for Dart, reflect this structural quality difference rather than any single recent result.
This is the foundation of Sakkari's favorite status. It doesn't guarantee dominance in any single match, but over a large sample it means she should convert more of her chances and control more service games against a lower-ranked opponent.
On paper, Sakkari's serve (59%) is stronger than Dart's (52%), which should let her hold more comfortably. But Dart's return numbers are actually better than Sakkari's: 46% vs just 38%. That means Dart is proportionally more dangerous on return than Sakkari is at neutralizing return pressure.
Put together, the serve and return numbers roughly offset: Sakkari's 7-point serve edge is not much larger than Dart's 8-point return edge. This suggests the point-by-point battle could be closer than the ranking gap implies, especially if Dart gets access to Sakkari's second serve.
Neither player is in outstanding recent form — Sakkari is 4-6 in her last ten, Dart 5-5 — but the quality of results tips slightly toward Sakkari. Her win over L. Noskova (Elo 1943) is a notably higher-quality result than anything currently on Dart's ledger.
Dart's recent record is comparable in raw win total, but without a marquee win to match, it doesn't carry the same weight when assessing which player has performed better against stronger competition.
Both players had two days off before this match, so rest itself is neutral. However, Sakkari has played twice as many matches in the last two weeks (4 vs 2), which introduces a modest fatigue consideration that could matter if the match extends into a third set.
The model gives Sakkari a 70% chance to win, but the market prices her at 79% (odds of 1.27), producing a negative expected value of -11.5%. That gap means the market is more convinced of Sakkari's superiority than the model's factor-based read of ranking, form, and serve/return numbers supports.
Being the favorite here does not automatically mean there is betting value — in fact, the data suggests the opposite. Sakkari is still the more probable winner, but backing her at these odds does not look like a positive-EV proposition based on this model.
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.