Sakkari / Vekic vs Aoyama / Liang prediction
AI prediction
Probability for membersThe model has Aoyama / Liang winning this match. Create a free account to see with what probability, and the most likely set score.
- Predicted winner
- Aoyama / Liang
- Probability
- Members only
- Likely score
- Members only
Every prediction is computed before the match and never edited afterwards: the model's real accuracy is published match by match.




Community · Who wins?
No votes yetVote for the player you think will win. One vote per person, no account needed.
Form and record before the match
Last 10 matches, oldest to most recent
- L
- W
- L
- W
- L
- W
- W
- L
- W
- L
- 5 – 5
- Wins – losses
- –
- 13 – 12
- Sets won – lost
- –
- 1 loss
- Current streak
- –
- 23-20 (53%)
- 2026 record
- –
- 113-79 (59%)
- Record on hard court
- –
ATP, WTA and Challenger singles matches played since 2020 by Sakkari / Vekic and Aoyama / Liang, before this match.
Recent matches
Sakkari / Vekic's last five matches
- DE. SvitolinaBeijing 2026 · Round of 32 · 5 October 20264-6 5-7
- VS. HunterBeijing 2026 · Round of 64 · 3 October 20266-2 6-2
- DT. GibsonSingapore 2026 · Quarter-final · 25 September 20261-6 6-4 2-6
- VN. HibinoSingapore 2026 · Round of 16 · 24 September 20267-5 6-1
- VL. FruhvirtovaSingapore 2026 · Round of 32 · 22 September 20266-4 6-1
Aoyama / Liang's last five matches
No archived match since 2020.
Head-to-head since 2020
No direct meeting since 2020 on the ATP, WTA and Challenger tours.
Frequently asked questions about Sakkari / Vekic – Aoyama / Liang
- Who is the favourite between Sakkari / Vekic and Aoyama / Liang?
- No bookmaker odds are available for this match. Pronocast's model has Aoyama / Liang winning. The win probability and most likely score are for members before the match.
- When is the Sakkari / Vekic – Aoyama / Liang match?
- On Tuesday, 13 October 2026 at 04:00, at the Wuhan tournament (Round of 32, hard court).
- Where can I see the prediction for Sakkari / Vekic – Aoyama / Liang?
- In the Pronocast app, for members: probability of winning, most likely score and comparison with the odds. It will be published on this page with the result once the match is over.
How the model computes its predictions
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