Tennis · M25 Guiyang · 18/09, 04:00

Prediction: Leo Borg vs Yunseong Chung

Team pages: Leo Borg · Yunseong Chung

Prediction summary
Winner
49% 51%
Leo Borg Yunseong Chung
Estimated games
21.5
Recent form · 10 last
Leo Borg 8-2 (W-L)
WWWWWLWLWW
Yunseong Chung 9-1 (W-L)
WWWWWWWLWW
Our model (Elo) vs Market Rating Elo · Leo Borg 1559 · Yunseong Chung 1558
Leo BorgYunseong Chung
Our model50%50%
Market49%51%

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

Leo BorgYunseong Chung
Win %70%70%
Win % · Hard 67% (3)
Sets (G-P)1.6-0.71.5-0.7
Games (G-P)12.4-10.811-8.2
Aces5.85.9
Double faults2.22.6
1st serve %75.5%73.6%
Break %43.1%56.5%
Estimated total games (ours) 21.5

Last 10 matches played

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

Leo Borg

LWLWW

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Date Opponent Sets Games Res.
17/09 Maksim Shin
M25 Guiyang
2-0 14-10 W
16/09 Chan-Yeong Oh
M25 Guiyang
2-0 12-5 W
10/09 Alexander Chang
M15 Bali
0-2 7-12 L
08/09 Jake Dembo
M15 Bali
2-0 14-11 W
05/09 Isaac Becroft
M15 Bali
1-2 10-16 L
04/09 Sam Ryan Ziegann
M15 Bali
2-1 18-14 W
03/09 Ha Minh Duc Vu
M15 Bali
2-0 12-7 W
01/09 Alexander Chang
M15 Bali
2-0 13-9 W
23/08 Niklas Guttau
M15 Bastad · ~Clay
1-2 11-16 L
22/08 John Hallquist Lithen
M15 Bastad · ~Clay
2-0 13-8 W

Yunseong Chung

WWLWW

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Date Opponent Sets Games Res.
17/09 Xirui Han
M25 Guiyang
2-0 12-6 W
16/09 Zihan Gao
M25 Guiyang
2-0 12-4 W
11/09 Jerry Roddick
M25 Sapporo
0-2 7-12 L
10/09 Yuta Kikuchi
M25 Sapporo
2-0 12-4 W
08/09 Masamichi Imamura
M25 Sapporo
2-1 15-12 W
02/09 Philip Sekulic
M25 Urayasu
1-2 10-13 L
31/08 Takumi Katsuda
M25 Urayasu
2-0 13-7 W
22/08 Fitriadi M Rifqi
M15 Maanshan · ~Hard
1-2 11-16 L
21/08 Ku Keon Kang
M15 Maanshan · ~Hard
1-0 6-2 W
20/08 Fanming Meng
M15 Maanshan · ~Hard
2-0 12-6 W

Frequently asked questions

Who is the favourite in Leo Borg vs Yunseong Chung?

Our model gives 51% to Yunseong Chung, 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.