Wendelken H - Rice K. π¨π¦
About the athletes
Our model prediction (Glicko-2)
1 Wendelken H β 58%
Model estimate: win Wendelken H 57.7%, win Rice K. π¨π¦ 42.3%. Model favourite β Wendelken H.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Uendelkin Kh
- • π¬π§ β Rice K
- • π¨π¦ (tennis)
- • Uendelkin Kh
- • π¬π§: forma PVVVV (4-1)
- • Rice K
- • π¨π¦: forma VPVPV (3-2)
- • Model backs Uendelkin Kh
- • π¬π§: probability 58% vs 69% on the line (odds 1.45)
- • no edge over the line (-11 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Wendelken H - Rice K. π¨π¦ July 29, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Wendelken H.
- Win odds (market consensus): 1 1.66 / 2 2.10
- Glicko: Wendelken H 57.7% / Rice K. π¨π¦ 42.3%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
Head-to-head and form stats
Head-to-head and form
Team form
no data
Head-to-head and recent form per sports statistics β for reference.
Wendelken H - Rice K. π¨π¦
V baze uchteny nedavnie matchi oboikh uchastnikov.
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
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 | Leon |
|---|---|
| 1.82 55.0% | |
| 1.92 52.1% | |
| 2.01 49.8% | |
| 1.93 51.8% | |
| 1.82 55.0% | |
| 1.75 57.1% |
Total
| Outcome | Leon |
|---|---|
| Over 21.5 | 1.75 57.1% |
| Over 22.5 | 2.00 50.0% |
| Under 21.5 | 2.00 50.0% |
| Under 22.5 | 1.75 57.1% |
Outcome (1X2)
| Outcome | Leon |
|---|---|
| 1.66 60.2% | |
| 2.10 47.6% |
Kasson M. πΊπΈ
Yamas Ruis P. πͺπΈ
Full head-to-head historyWendelken H - Rice K. π¨π¦
Match history
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The Wendelken H - Rice K. π¨π¦ 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