Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Carle M L — 69%
Pure model vs market (1 · Carle M L): model 58% · market 8% Δ +50 pp model estimates above the market
Model estimate: win Carle M L 69.5%, win Lene E 30.5%. Model favourite — Carle M L.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
Based on the collected prematch data, the favourite looks like Lene E.
For reference
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
no data
Head-to-head and recent form per sports statistics — for reference.
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.
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| — | — | 1.75 57.1% | |
| — | — | 1.90 52.6% | |
| — | — | 2.10 47.6% | |
| 1.85 54.1% | 1.82 55.0% | — | |
| — | — | 1.95 51.3% | |
| — | — | 1.80 55.6% | |
| — | — | 1.20 83.3% | |
| 1.85 54.1% | 1.88 53.2% | — | |
| — | — | 1.95 51.3% | |
| — | — | 1.80 55.6% | |
| — | — | 1.65 60.6% | |
| — | — | 1.70 58.8% | |
| — | — | 1.90 52.6% | |
| — | — | 1.75 57.1% | |
| — | — | 1.75 57.1% | |
| — | — | 1.75 57.1% |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| Over 16.5 | — | — | 1.73 57.8% |
| Over 17.5 | — | — | 1.67 59.9% |
| Over 18.5 | — | — | 1.75 57.1% |
| Over 19.5 | — | — | 1.95 51.3% |
| Over 20.5 | 1.95 51.3% | 1.94 51.6% | 1.80 55.6% |
| Over 21.5 | — | — | 1.92 52.1% |
| Over 22.5 | — | — | 1.83 54.6% |
| Over 23.5 | — | — | 1.73 57.8% |
| Over 24.5 | — | — | 3.80 26.3% |
| Over 25.5 | — | — | 1.90 52.6% |
| Over 26.5 | — | — | 2.75 36.4% |
| Under 16.5 | — | — | 2.00 50.0% |
| Under 17.5 | — | — | 2.07 48.3% |
| Under 18.5 | — | — | 1.95 51.3% |
| Under 20.5 | 1.76 56.8% | 1.77 56.5% | — |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| 1.35 74.1% | 1.27 78.7% | 11.00 9.1% | |
| 2.95 33.9% | 3.40 29.4% | 1.01 99.0% |
Carle M L
Kalinina A. 🇺🇦
Nimayer Yu. 🇩🇪
Pieri D. 🇮🇹
Bassols M. 🇪🇸
Lene E
Lew Yan Foon A. 🇫🇷
Full head-to-head historyCarle M L - Lene E
The Carle M L - Lene E breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.