Wobker I. ๐ฉ๐ช - Yao Xinxin
Wobker I. ๐ฉ๐ช face Yao Xinxin on August 4, 2026 in the ITF Women - Singles: W75 Leipzig (Germany), clay.
Read on for detailed stats, previous meetings, the bookmaker line and the PrognozAI neural-network verdict.
Our model prediction (Glicko-2)
2 Yao Xinxin โ 57%
Pure model vs market (2 ยท Yao Xinxin): model 59% ยท market 57% ฮ +2 pp model estimate matches the market
Model estimate: win Wobker I. ๐ฉ๐ช 43.2%, win Yao Xinxin 56.8%. Model favourite โ Yao Xinxin.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Wobker I
- • ๐ฉ๐ช โ Yao S
- • ๐จ๐ณ (tennis)
- • Wobker I
- • ๐ฉ๐ช: forma PPVP (1-3)
- • Yao S
- • ๐จ๐ณ: forma PVPVP (2-3)
- • Model backs Yao S
- • ๐จ๐ณ: probability 59% vs 62% on the line (odds 1.61)
- • no edge over the line (-3 pp) โ informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Wobker I. ๐ฉ๐ช - Yao Xinxin August 4, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 2.14 / 2 1.63
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin โ for reference, not a betting recommendation.Odds source: consensus of 2 books (Betcity, Leon). This is the fair probability after removing the bookmaker margin from the odds โ reference information, not a prediction or a betting recommendation.
About the athletes
Wobker I. ๐ฉ๐ช - Yao Xinxin
V baze uchteny nedavnie matchi oboikh uchastnikov.
Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Best value: no value found
Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Match markets
Handicap
| Outcome | Betcity | Leon |
|---|---|---|
| 1.80 55.6% | 1.77 56.5% | |
| 1.90 52.6% | 1.87 53.5% |
Total
| Outcome | Betcity | Leon |
|---|---|---|
| Over 20.5 | 1.82 55.0% | 1.79 55.9% |
| Under 20.5 | 1.88 53.2% | 1.85 54.1% |
Outcome (1X2)
| Outcome | Betcity | Leon |
|---|---|---|
| 2.14 46.7% | 2.08 48.1% | |
| 1.63 61.4% | 1.61 62.1% |
Glushko L. ๐ฎ๐ฑ
Shi H. ๐จ๐ณ
Full head-to-head historyWobker I. ๐ฉ๐ช - Yao Xinxin
Match history
Unlock the full match prediction
The Wobker I. ๐ฉ๐ช - Yao Xinxin breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form