Jung J / Maginley J - Chan Duncan / George B T
About the athletes
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Jung J / Maginley J — 63%
Pure model vs market (1 · Jung J / Maginley J): model 52% · market 88% Δ −36 pp model estimates below the market
Model estimate: win Jung J / Maginley J 63.2%, win Chan Duncan / George B T 36.8%. Model favourite — Jung J / Maginley J.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Dzhang Dzh./Maginli Dzh
- • — Chan D./George B
- • T
- • (tennis)
- • Model backs Dzhang Dzh./Maginli Dzh.: probability 50% vs 69% on the line (odds 1.44)
- • no edge over the line (-19 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Jung J / Maginley J - Chan Duncan / George B T July 29, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Jung J / Maginley J.
- Win odds (Fonbet): 1 1.05 / 2 7.60
- Glicko: Jung J / Maginley J 63.2% / Chan Duncan / George B T 36.8%
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.
For reference
Line movement
How the odds changed from opening to the current line — for reference, not a betting recommendation.↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
Jung J / Maginley J - Chan Duncan / George B T
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 | Fonbet |
|---|---|
| 1.85 54.1% | |
| 1.73 57.8% | |
| 1.60 62.5% | |
| 1.43 69.9% | |
| 1.25 80.0% | |
| 1.38 72.5% | |
| 1.02 98.0% | |
| 1.60 62.5% | |
| 2.35 42.6% | |
| 1.85 54.1% | |
| 2.00 50.0% | |
| 2.20 45.5% | |
| 2.60 38.5% | |
| 3.70 27.0% | |
| 2.80 35.7% | |
| 10.00 10.0% | |
| 2.20 45.5% | |
| 1.53 65.4% |
Total
| Outcome | Fonbet |
|---|---|
| Over 19.5 | 1.53 65.4% |
| Over 20.5 | 2.20 45.5% |
| Over 21.5 | 10.00 10.0% |
| Over 22.5 | 1.90 52.6% |
| Over 23.5 | 1.85 54.1% |
| Over 24.5 | 2.20 45.5% |
| Over 25.5 | 2.35 42.6% |
| Over 26.5 | 1.90 52.6% |
| Over 27.5 | 1.85 54.1% |
| Over 28.5 | 1.78 56.2% |
| Over 29.5 | 1.82 55.0% |
| Over 30.5 | 1.92 52.1% |
| Over 31.5 | 1.82 55.0% |
| Over 32.5 | 1.90 52.6% |
| Under 19.5 | 2.35 42.6% |
| Under 20.5 | 1.60 62.5% |
| Under 21.5 | 1.02 98.0% |
| Under 22.5 | 1.80 55.6% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 1.44 69.4% | 1.44 69.4% | 1.05 95.2% | 1.44 69.4% | |
| 2.60 38.5% | 2.60 38.5% | 7.60 13.2% | 2.60 38.5% |
Full head-to-head historyJung J / Maginley J - Chan Duncan / George B T
Match history
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The Jung J / Maginley J - Chan Duncan / George B T breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form