Tennis · M15 Yanagawa City · 28/10, 02:00

Prediction: Yuto Oki vs Oscar Brown

Team pages: Yuto Oki · Oscar Brown

Prediction summary
Winner
49% 51%
Yuto Oki Oscar Brown
Estimated games
19.6
Recent form · 10 last
Yuto Oki 5-5 (W-L)
LWWLLWWWLL
Oscar Brown 6-4 (W-L)
WLWLWWLWWL
Our model (Elo) vs Market Rating Elo · Yuto Oki 1543 · Oscar Brown 1530
Yuto OkiOscar Brown
Our model52%48%
Market46%54%

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

Yuto OkiOscar Brown
Win %60%60%
Win % · Hard – 67% (3)
Sets (G-P)1.2-0.91.2-0.9
Games (G-P)10.1-8.410.3-8.6
Aces1.81.5
Double faults1.42.7
1st serve %66.4%64.3%
Break %33.2%37.8%
Estimated total games (ours) 19.6

Last 10 matches played

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

Yuto Oki

WWWWL

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Date Opponent Sets Games Res.
25/10 Hugo Hashimoto
M15 Tanagura
0-2 10-13 L
24/10 Takuya Kumasaka
M15 Tanagura
2-1 16-13 W
23/10 Hyu Kawanishi
M15 Tanagura
2-0 12-7 W
22/10 Shotaro Yamamoto
M15 Tanagura
2-0 12-2 W
20/10 Taiyo Yamanaka
M15 Tanagura
2-0 13-7 W
09/09 Kuan-Yi Lee
M25 Sapporo
0-2 6-12 L
03/09 Yanki Erel
M25 Urayasu
0-2 4-12 L
01/09 Shintaro Imai
M25 Urayasu
2-0 12-5 W
31/08 Kai-An Wu
M25 Urayasu
2-0 12-1 W
11/08 Alejandro Turriziani Alvarez
M15 Targu Jiu
0-2 4-12 L

Oscar Brown

WLWWL

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Date Opponent Sets Games Res.
23/10 Hugo Hashimoto
M15 Tanagura
0-2 5-12 L
22/10 Toshiki Karigyo
M15 Tanagura
2-0 12-4 W
21/10 Yan Cheng Chen
M15 Tanagura
2-1 15-12 W
18/10 Sora Fukuda
UTR Pro Kawaguchi · Hard
0-2 6-12 L
17/10 Mikal Statham
UTR Pro Kawaguchi · Hard
2-0 12-6 W
16/10 Hien Q H Pham
UTR Pro Kawaguchi · Hard
2-0 12-4 W
01/10 Digvijay Pratap Singh
M15 Baku
0-2 9-13 L
29/09 Pavel Skvortcov
M15 Baku
2-0 12-5 W
26/09 Digvijay Pratap Singh
M15 Baku
0-2 8-13 L
25/09 Karol Filar
M15 Baku
2-0 12-5 W

Frequently asked questions

Who is the favourite in Yuto Oki vs Oscar Brown?

Our model gives 51% to Oscar Brown, 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.