Ibraimi Y. π¦πΊ - Markovina D. π¦πΊ
Our model prediction (Glicko-2)
PropickAI model Β· comparison with the market line (no margin)
2 Markovina D. π¦πΊ β 69%
Pure model vs market (2 Β· Markovina D. π¦πΊ): model 59% Β· market 70% Ξ β11 pp model estimates below the market
Model estimate: win Ibraimi Y. π¦πΊ 31.0%, win Markovina D. π¦πΊ 69.0%. Model favourite β Markovina D. π¦πΊ.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Ibraimi Y
- • π¦πΊ β Markovina D
- • π¦πΊ (tennis)
- • Ibraimi Y
- • π¦πΊ: forma pp (0-2)
- • Markovina D
- • π¦πΊ: forma PVVVP (3-2)
- • Model backs Markovina D
- • π¦πΊ: probability 69% vs 76% on the line (odds 1.32)
- • no edge over the line (-7 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Ibraimi Y. π¦πΊ - Markovina D. π¦πΊ July 28, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 3.10 / 2 1.34
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.
About the athletes
Ibraimi Y. π¦πΊ - Markovina D. π¦πΊ
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 |
|---|---|---|
| 2.05 48.8% | 1.96 51.0% | |
| 1.69 59.2% | 1.69 59.2% |
Total
| Outcome | Betcity | Leon |
|---|---|---|
| Over 21.5 | 1.85 54.1% | 1.83 54.6% |
| Under 21.5 | 1.85 54.1% | 1.80 55.6% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 3.10 32.3% | 3.00 33.3% | 3.06 32.7% | |
| 1.32 75.8% | 1.34 74.6% | 1.29 77.5% |
Bobichon M. π«π·
Markovina D. π¦πΊ
Ellis Bl. π¦πΊ
McLeod A. π¦πΊ
Full head-to-head historyIbraimi Y. π¦πΊ - Markovina D. π¦πΊ
Match history
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The Ibraimi Y. π¦πΊ - Markovina D. π¦πΊ 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