Tennis · W75 Brisbane · 10/11, 02:30

Prediction: Merel Hoedt vs Yujia Huang

Team pages: Merel Hoedt · Yujia Huang

Prediction summary
Winner
36% 64%
Merel Hoedt Yujia Huang
Estimated games
20.3
Recent form · 10 last
Merel Hoedt 6-4 (W-L)
LLWWWWLLWW
Yujia Huang 8-2 (W-L)
LWWWWWWLWW
Our model (Elo) vs Market Rating Elo · Merel Hoedt 1533 · Yujia Huang 1537
Merel HoedtYujia Huang
Our model49%51%
Market25%75%

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Statistics

Merel HoedtYujia Huang
Win %60%60%
Win % · Clay 50% (2) –
Sets (G-P)1.3-0.91.4-0.9
Games (G-P)10.2-8.111.2-8.5
Aces0.40.3
Double faults3.92.1
1st serve %57%59.5%
Break %54.5%52.1%
Estimated total games (ours) 20.3

Last 10 matches played

Last matches of each player (sets and games). W = win, L = loss. Common opponents to both are in blue.

Merel Hoedt

WLLWW

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Date Opponent Sets Games Res.
09/11 Vaidehee Chaudhari
W75 Brisbane
2-0 12-4 W
08/11 Georgia Campbell
W75 Brisbane
2-0 12-5 W
28/10 Hikaru Sato
W35 Sydney
0-2 7-13 L
21/09 Nellie Taraba Wallberg
W50 Plovdiv
0-2 4-12 L
20/09 Maria Andrienko
W50 Plovdiv
2-0 12-4 W
15/09 Iva Ivanova
W50 Pazardzhik
1-2 15-16 L
14/09 Margaux Maquet
W50 Pazardzhik
2-0 12-3 W
13/09 Barbora Michalkova
W50 Pazardzhik
2-0 12-3 W
10/09 Daria Yesypchuk
W35 Reus · ~Clay
0-2 1-12 L
09/09 Ashley Lahey
W35 Reus · ~Clay
2-1 15-9 W

Yujia Huang

WWLWW

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Date Opponent Sets Games Res.
09/11 Leyla Fiorella Britez Risso
W75 Brisbane
2-0 12-3 W
08/11 Sara Mickoska
W75 Brisbane
2-1 16-9 W
05/11 Han Shi
W100 Incheon
0-2 4-12 L
04/11 Sohyun Park
W100 Incheon
2-0 13-10 W
03/11 Nagi Hanatani
W100 Incheon
2-0 12-4 W
29/10 Yushan Shao
W35 Kunshan
1-2 13-15 L
28/10 BoYoung Jeong
W35 Kunshan
2-0 12-1 W
22/10 Xinxin Yao
W35 Qian Daohu
1-2 14-17 L
21/10 JiaYi Wang
W35 Qian Daohu
2-0 12-2 W
16/10 Junhan Zhang
W15 Shenzhen · ~Hard
0-2 4-12 L

Frequently asked questions

Who is the favourite in Merel Hoedt vs Yujia Huang?

Our model gives 64% to Yujia Huang, using surface Elo on clay.

What is the prediction based on?

On an Elo model by surface (clay) adjusted for opponent quality, compared with the market odds.