Carle M L - Fon Daykhmann K. (Likh)
About the athletes
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Carle M L — 70%
Pure model vs market (1 · Carle M L): model 51% · market 84% Δ −33 pp model estimates below the market
Model estimate: win Carle M L 70.0%, win Fon Daykhmann K. (Likh) 30.0%. Model favourite — Carle M L.
Informational estimate, not a betting recommendation.
Math-model prediction
AI match prediction Carle M L - Fon Daykhmann K. (Likh) 14 июля 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Carle M L.
- Win odds (Fonbet): 1 1.11 / 2 5.70
- Glicko: Carle M L 70.0% / Fon Daykhmann K. (Likh) 30.0%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
Head-to-head and form stats
Head-to-head and form
Team form
Head-to-head and recent form per sports statistics — for reference.
Carle M L - Fon Daykhmann K. (Likh)
В базе учтены недавние матчи обоих участников.
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 - рейтинговая модель силы: сравнивает линию, историю и стабильность, но не дает гарантий.
Best value: value не найден
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.
Handicap
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| П1 -0.5 | — | — | 1.25 80.0% |
| П1 -1.5 | — | — | 2.25 44.4% |
| П1 -3.5 | — | 1.72 58.1% | — |
| П1 -4.5 | 1.79 55.9% | 1.85 54.1% | — |
| П2 +0.5 | — | — | 5.50 18.2% |
| П2 +2.5 | — | — | 2.40 41.7% |
| П2 +3.5 | — | 2.00 50.0% | — |
| П2 +4.5 | 1.94 51.6% | 1.85 54.1% | — |
| П2 -0.5 | — | — | 3.50 28.6% |
| П2 -1.5 | — | — | 1.58 63.3% |
| П2 -2.5 | — | — | 1.57 63.7% |
| П2 -3.5 | — | — | 1.60 62.5% |
| П2 -4.5 | — | — | 1.65 60.6% |
| П2 -5.5 | — | — | 1.50 66.7% |
| П2 -6.5 | — | — | 1.30 76.9% |
| П2 -7.5 | — | — | 1.38 72.5% |
Total
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| ТБ 17.5 | — | — | 1.75 57.1% |
| ТБ 18.5 | — | — | 1.65 60.6% |
| ТБ 19.5 | — | — | 1.80 55.6% |
| ТБ 20.5 | 1.94 51.6% | 1.90 52.6% | 2.10 47.6% |
| ТБ 21.5 | — | — | 1.73 57.8% |
| ТБ 22.5 | — | — | 2.00 50.0% |
| ТБ 24.5 | — | — | 1.75 57.1% |
| ТБ 25.5 | — | — | 1.25 80.0% |
| ТБ 26.5 | — | — | 1.22 82.0% |
| ТБ 27.5 | — | — | 2.60 38.5% |
| ТБ 29.5 | — | — | 4.50 22.2% |
| ТМ 17.5 | — | — | 1.95 51.3% |
| ТМ 18.5 | — | — | 2.10 47.6% |
| ТМ 19.5 | — | — | 1.90 52.6% |
| ТМ 20.5 | 1.79 55.9% | 1.81 55.3% | — |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| П1 | 1.29 77.5% | 1.28 78.1% | 1.11 90.1% | 1.31 76.3% |
| П2 | 3.33 30.0% | 3.30 30.3% | 5.70 17.5% | 3.05 32.8% |
Блинкова А. (Мир)
Full head-to-head historyCarle M L - Fon Daykhmann K. (Likh)