Dong Chen - Sach T L
About the athletes
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
2 Sach T L — 77%
Pure model vs market (2 · Sach T L): model 60% · market 52% Δ +8 pp model estimates above the market
Model estimate: win Dong Chen 23.4%, win Sach T L 76.6%. Model favourite — Sach T L.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Dong Ch
- • 🇦🇺 — Sach T
- • 🇦🇺 (tennis)
- • Dong Ch
- • 🇦🇺: forma pp (0-2)
- • Sach T
- • 🇦🇺: forma PPPVV (2-3)
- • Model backs Sach T
- • 🇦🇺: probability 60% vs 70% on the line (odds 1.42)
- • no edge over the line (-10 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Dong Chen - Sach T L July 28, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Sach T L.
- Win odds (Fonbet): 1 1.92 / 2 1.78
- Glicko: Dong Chen 23.4% / Sach T L 76.6%
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.
Dong Chen - Sach T L
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.
Handicap
| Outcome | Betcity | Fonbet |
|---|---|---|
| — | 1.80 55.6% | |
| 1.97 50.8% | — | |
| 1.73 57.8% | — | |
| — | 1.80 55.6% | |
| — | 1.83 54.6% | |
| — | 1.80 55.6% | |
| — | 1.90 52.6% | |
| — | 1.90 52.6% | |
| — | 1.92 52.1% | |
| — | 2.25 44.4% | |
| — | 2.05 48.8% | |
| — | 1.95 51.3% | |
| — | 2.02 49.5% | |
| — | 1.90 52.6% | |
| — | 1.87 53.5% | |
| — | 1.90 52.6% | |
| 1.74 57.5% | — | |
| 2.00 50.0% | — |
Total
| Outcome | Betcity | Fonbet |
|---|---|---|
| Over 16.5 | — | 1.70 58.8% |
| Over 17.5 | — | 1.93 51.8% |
| Over 18.5 | — | 2.10 47.6% |
| Over 19.5 | 1.90 52.6% | 1.95 51.3% |
| Over 20.5 | — | 2.02 49.5% |
| Over 21.5 | — | 1.72 58.1% |
| Over 22.5 | — | 1.80 55.6% |
| Over 23.5 | — | 1.88 53.2% |
| Over 24.5 | — | 1.80 55.6% |
| Over 25.5 | — | 1.72 58.1% |
| Under 16.5 | — | 2.02 49.5% |
| Under 17.5 | — | 1.77 56.5% |
| Under 18.5 | — | 1.65 60.6% |
| Under 19.5 | 1.80 55.6% | 1.75 57.1% |
| Under 20.5 | — | 1.70 58.8% |
| Under 21.5 | — | 2.00 50.0% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 4.30 23.3% | 4.60 21.7% | 1.92 52.1% | 4.19 23.9% | |
| 1.18 84.8% | 1.16 86.2% | 1.78 56.2% | 1.16 86.2% |
Sach T L
Full head-to-head historyDong Chen - Sach T L
Match history
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- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form