Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Ku Yeon Woo — 76%
Pure model vs market (1 · Ku Yeon Woo): model 52% · market 31% Δ +21 pp model estimates above the market
Model estimate: win Ku Yeon Woo 76.1%, win Dong Emma SI Yu 23.9%. Model favourite — Ku Yeon Woo.
Informational estimate, not a betting recommendation.
Math-model prediction
The summary is built from our prematch context: line, form, lineups and Glicko.
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.
For reference
↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
serve: Ku Yeon Woo · sets 1:1 · games 6-4 2-6 6-6 · game 6:7 · aces 0:6 · DF 3:3
Current match situation. Updates every ~3 min.
Implied probabilities from the Fonbet live line (1/odds, normalized). For reference.
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 | Fonbet |
|---|---|---|
| — | 2.40 41.7% | |
| — | 2.10 47.6% | |
| — | 1.47 68.0% | |
| — | 1.90 52.6% | |
| — | 2.90 34.5% | |
| 1.81 55.3% | — | |
| — | 1.82 55.0% | |
| — | 1.35 74.1% | |
| — | 5.90 17.0% | |
| — | 1.60 62.5% | |
| 1.90 52.6% | — | |
| — | 1.50 66.7% | |
| — | 1.65 60.6% | |
| — | 2.50 40.0% | |
| — | 1.80 55.6% | |
| — | 1.35 74.1% | |
| — | 1.57 63.7% | |
| — | 1.42 70.4% |
| Outcome | Betcity | Fonbet |
|---|---|---|
| Over 17.5 | — | 1.63 61.4% |
| Over 18.5 | — | 1.55 64.5% |
| Over 19.5 | 2.00 50.0% | 2.00 50.0% |
| Over 20.5 | — | 1.65 60.6% |
| Over 21.5 | — | 2.15 46.5% |
| Over 22.5 | — | 1.92 52.1% |
| Over 23.5 | — | 1.90 52.6% |
| Over 24.5 | — | 1.90 52.6% |
| Over 25.5 | — | 1.95 51.3% |
| Over 26.5 | — | 1.28 78.1% |
| Over 27.5 | — | 2.20 45.5% |
| Over 28.5 | — | 1.17 85.5% |
| Over 30.5 | — | 1.08 92.6% |
| Under 17.5 | — | 2.13 47.0% |
| Under 18.5 | — | 2.30 43.5% |
| Under 19.5 | 1.72 58.1% | 1.73 57.8% |
| Outcome | Betcity | Fonbet | Leon |
|---|---|---|---|
| 1.09 91.7% | 2.95 33.9% | 1.17 85.5% | |
| 6.10 16.4% | 1.35 74.1% | 4.20 23.8% |
Full head-to-head historyKu Yeon Woo - Dong Emma SI Yu
The Ku Yeon Woo - Dong Emma SI Yu breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.