Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Laron M — 85%
Pure model vs market (1 · Laron M): model 52% · market 90% Δ −38 pp model estimates below the market
Model estimate: win Laron M 85.3%, win Kanumuri I R 14.7%. Model favourite — Laron M.
Informational estimate, not a betting recommendation.
Math-model prediction
Based on the collected prematch data, the favourite looks like Laron M.
For reference
Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
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.
| Outcome | Betcity | Leon |
|---|---|---|
| 1.95 51.3% | 1.84 54.4% | |
| 1.76 56.8% | 1.79 55.9% |
| Outcome | Betcity | Leon |
|---|---|---|
| Over 16.5 | — | 1.72 58.1% |
| Over 17.5 | 2.02 49.5% | 1.97 50.8% |
| Under 16.5 | — | 1.92 52.1% |
| Under 17.5 | 1.70 58.8% | 1.69 59.2% |
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.02 98.0% | 1.05 95.2% | 1.02 98.0% | |
| 9.90 10.1% | 7.60 13.2% | 8.70 11.5% |
Laron M
Kanumuri I R
Full head-to-head historyLaron M - Kanumuri I R
The Laron M - Kanumuri I R breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.