Omarkhanov A. ๐ฐ๐ฟ - Tabata R
About the athletes
Our model prediction (Glicko-2)
PropickAI model ยท comparison with the market line (no margin)
1 Omarkhanov A. ๐ฐ๐ฟ โ 61%
Pure model vs market (1 ยท Omarkhanov A. ๐ฐ๐ฟ): model 47% ยท market 63% ฮ โ16 pp model estimates below the market
Model estimate: win Omarkhanov A. ๐ฐ๐ฟ 61.2%, win Tabata R 38.8%. Model favourite โ Omarkhanov A. ๐ฐ๐ฟ.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Omarkhanov A
- • ๐ฐ๐ฟ โ Tabata R
- • ๐ฏ๐ต (tennis)
- • Omarkhanov A
- • ๐ฐ๐ฟ: forma VPV (2-1)
- • Tabata R
- • ๐ฏ๐ต: forma VPVVV (4-1)
- • Model backs Tabata R
- • ๐ฏ๐ต: probability 53% vs 39% on the line (odds 2.56)
- • edge over the line +14 pp โ value pick.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Omarkhanov A. ๐ฐ๐ฟ - Tabata R July 30, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Omarkhanov A. ๐ฐ๐ฟ.
- Win odds (market consensus): 1 1.50 / 2 2.55
- Glicko: Omarkhanov A. ๐ฐ๐ฟ 61.2% / Tabata R 38.8%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin โ for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds โ 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 โ for reference.
Omarkhanov A. ๐ฐ๐ฟ - Tabata R
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 | Betcity | Leon |
|---|---|---|
| 1.94 51.6% | 1.81 55.3% | |
| 1.77 56.5% | 1.83 54.6% |
Total
| Outcome | Betcity | Leon |
|---|---|---|
| Over 20.5 | 1.79 55.9% | 1.80 55.6% |
| Under 20.5 | 1.90 52.6% | 1.83 54.6% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.50 66.7% | 1.45 69.0% | 1.45 69.0% | |
| 2.40 41.7% | 2.55 39.2% | 2.45 40.8% |
Iakubenko V. ๐บ๐ฆ
Tabata R
Full head-to-head historyOmarkhanov A. ๐ฐ๐ฟ - Tabata R
Match history
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The Omarkhanov A. ๐ฐ๐ฟ - Tabata R 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