Mansuri Ya. π«π· - Lim Dzh. π«π·
About the athletes
Our model prediction (Glicko-2)
PropickAI model Β· comparison with the market line (no margin)
2 Lim Dzh. π«π· β 75%
Pure model vs market (2 Β· Lim Dzh. π«π·): model 52% Β· market 78% Ξ β26 pp model estimates below the market
Model estimate: win Mansuri Ya. π«π· 24.7%, win Lim Dzh. π«π· 75.3%. Model favourite β Lim Dzh. π«π·.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Mansuri Ya
- • π«π· β Lim Dzh
- • π«π· (tennis)
- • Mansuri Ya
- • π«π·: forma PV (1)
- • Lim Dzh
- • π«π·: forma VPPV (2)
- • Model backs Lim Dzh
- • π«π·: probability 73% vs 81% on the line (odds 1.23)
- • no edge over the line (-8 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Mansuri Ya. π«π· - Lim Dzh. π«π· July 28, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Lim Dzh. π«π·.
- Win odds (market consensus): 1 4.30 / 2 1.19
- Glicko: Mansuri Ya. π«π· 24.7% / Lim Dzh. π«π· 75.3%
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.
Mansuri Ya. π«π· - Lim Dzh. 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 | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.85 54.1% | 1.83 54.6% | — | |
| — | — | 1.78 56.2% | |
| — | — | 1.86 53.8% | |
| 1.85 54.1% | 1.87 53.5% | — |
Total
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Over 19.5 | 1.87 53.5% | 1.90 52.6% | 1.75 57.1% |
| Under 19.5 | 1.83 54.6% | 1.81 55.3% | 1.89 52.9% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 4.20 23.8% | 4.30 23.3% | 1.29 77.5% | |
| 1.19 84.0% | 1.18 84.8% | 3.09 32.4% |
Ito A. π―π΅
Suresh K
Full head-to-head historyMansuri Ya. π«π· - Lim Dzh. π«π·
Match history
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The Mansuri Ya. π«π· - Lim Dzh. 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