Peres A.-L. π΅πͺ - Egorova D
About the athletes
Head-to-head history
Our model prediction (Glicko-2)
2 Egorova D β 56%
Pure model vs market (2 Β· Egorova D): model 52% Β· market 57% Ξ β5 pp model estimates below the market
Model estimate: win Peres A.-L. π΅πͺ 44.0%, win Egorova D 56.0%. Model favourite β Egorova D.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Peres A.-L
- • π΅πͺ β Egorova D
- • (World) (tennis)
- • Peres A.-L
- • π΅πͺ: forma PVVVV (4-1)
- • Egorova D
- • (World): forma VVVPV (4-1)
- • ochnye 1-0 (za 1)
- • Model backs Egorova D
- • (World): probability 52% vs 59% on the line (odds 1.69)
- • no edge over the line (-8 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Peres A.-L. π΅πͺ - Egorova D July 31, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Egorova D.
- Win odds (market consensus): 1 2.15 / 2 1.65
- Glicko: Peres A.-L. π΅πͺ 44.0% / Egorova D 56.0%
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.
Peres A.-L. π΅πͺ - Egorova D
V baze uchteny nedavnie matchi oboikh uchastnikov i 1 ochnykh vstrech.
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 |
|---|---|---|
| 1.85 54.1% | 1.90 52.6% | |
| 1.83 54.6% | — | |
| 1.85 54.1% | 1.79 55.9% | |
| 1.87 53.5% | — |
Total
| Outcome | Baltbet | Betcity |
|---|---|---|
| Over 20.5 | 1.80 55.6% | 1.80 55.6% |
| Under 20.5 | 1.90 52.6% | 1.90 52.6% |
Outcome (1X2)
| Outcome | Baltbet | Betcity |
|---|---|---|
| 2.15 46.5% | 2.10 47.6% | |
| 1.63 61.4% | 1.65 60.6% |
Riera Yu. π¦π·
Full head-to-head historyPeres A.-L. π΅πͺ - Egorova D
Match history
Unlock the full match prediction
The Peres A.-L. π΅πͺ - Egorova D 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