Mahendran K. ๐ฎ๐ณ - Voloshchuk A
About the athletes
Our model prediction (Glicko-2)
PropickAI model ยท comparison with the market line (no margin)
2 Voloshchuk A โ 70%
Pure model vs market (2 ยท Voloshchuk A): model 51% ยท market 73% ฮ โ22 pp model estimates below the market
Model estimate: win Mahendran K. ๐ฎ๐ณ 30.0%, win Voloshchuk A 70.0%. Model favourite โ Voloshchuk A.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Mahendran K
- • ๐ฎ๐ณ โ Voloshchuk A
- • ๐ต๐น (tennis)
- • Mahendran K
- • ๐ฎ๐ณ: forma V (1-0)
- • Voloshchuk A
- • ๐ต๐น: forma VPVVV (4-1)
- • Model backs Voloshchuk A
- • ๐ต๐น: probability 70% vs 78% on the line (odds 1.28)
- • no edge over the line (-8 pp) โ informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Mahendran K. ๐ฎ๐ณ - Voloshchuk A July 31, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Voloshchuk A.
- Win odds (market consensus): 1 3.50 / 2 1.31
- Glicko: Mahendran K. ๐ฎ๐ณ 30.0% / Voloshchuk A 70.0%
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.
Mahendran K. ๐ฎ๐ณ - Voloshchuk A
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 |
|---|---|---|
| 1.90 52.6% | 1.87 53.5% | |
| 1.80 55.6% | 1.83 54.6% |
Total
| Outcome | Baltbet | Betcity |
|---|---|---|
| Over 20.5 | 1.95 51.3% | 1.98 50.5% |
| Under 20.5 | 1.76 56.8% | 1.73 57.8% |
Outcome (1X2)
| Outcome | Baltbet | Betcity |
|---|---|---|
| 3.15 31.8% | 3.50 28.6% | |
| 1.31 76.3% | 1.26 79.4% |
Zhu E. ๐บ๐ธ
Full head-to-head historyMahendran K. ๐ฎ๐ณ - Voloshchuk A
Match history
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The Mahendran K. ๐ฎ๐ณ - Voloshchuk A 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