Tennis · W75 Hechingen · 29/07, 10:00

Prediction: Xinxin Yao vs Dayeon Back

Team pages: Xinxin Yao · Dayeon Back

Prediction summary
Winner
41% 59%
Xinxin Yao Dayeon Back
Estimated games
19.7
Recent form · 10 last
Xinxin Yao 5-5 (W-L)
WLWLLWWLWL
Dayeon Back 7-3 (W-L)
WWLWLWWWWL
Our model (Elo) vs Market Rating Elo · Xinxin Yao 1534 · Dayeon Back 1564
Xinxin YaoDayeon Back
Our model46%54%
Market38%63%

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

Xinxin YaoDayeon Back
Win %60%70%
Win % · Hard 75% (4) 67% (3)
Sets (G-P)1.2-0.91.4-0.6
Games (G-P)10.4-9.211-7.9
Aces1.20.8
Double faults1.31.5
1st serve %60.8%63.7%
Break %60.1%57.3%
Estimated total games (ours) 19.7

Last 10 matches played

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

Xinxin Yao

WWLWL

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Date Opponent Sets Games Res.
23/07 Lola Giza
W50 Horb
0-2 7-12 L
21/07 Sophie Triquart
W50 Horb
2-0 12-4 W
17/07 Francesca Curmi
W50 Darmstadt
0-2 7-13 L
16/07 Diana Martynov
W50 Darmstadt
2-0 12-4 W
15/07 Isabel Skoog
W50 Darmstadt
2-0 13-7 W
07/07 Darya Astakhova
W100 Aschaffenburg
0-2 9-13 L
10/06 Mai Hontama
W100 Wuning · ~Hard
0-2 3-12 L
07/06 Yufei Ren
W50 Wuning · ~Hard
2-0 12-8 W
06/06 Reina Goto
W50 Wuning · ~Hard
2-1 16-11 W
05/06 JiaYi Wang
W50 Wuning · ~Hard
2-0 13-8 W

Dayeon Back

WWWWL

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Date Opponent Sets Games Res.
26/07 Lea Nilsson
W50 Horb
0-2 8-13 L
25/07 Denislava Glushkova
W50 Horb
2-0 10-2 W
24/07 Loes Ebeling Koning
W50 Horb
2-0 12-7 W
23/07 Madelief Hageman
W50 Horb
2-0 12-5 W
22/07 Oana Georgeta Simion
W50 Horb
2-0 12-6 W
16/07 Alicia Herrero Linana
W50 Darmstadt
0-2 9-13 L
15/07 Sandra Samir
W50 Darmstadt
2-0 12-5 W
26/06 Priska Madelyn Nugroho
W35 Taipei · ~Hard
0-2 10-13 L
25/06 Thasaporn Naklo
W35 Taipei · ~Hard
2-0 13-9 W
24/06 Kisa Yoshioka
W35 Taipei · ~Hard
2-0 12-6 W

Frequently asked questions

Who is the favourite in Xinxin Yao vs Dayeon Back?

Our model gives 59% to Dayeon Back, using surface Elo on hard.

What is the prediction based on?

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