Tennis · W35 Hamamatsu · 03/11, 02:00

Prediction: Nanari Katsumi vs Michika Ozeki

Team pages: Nanari Katsumi · Michika Ozeki

Prediction summary
Winner
51% 49%
Nanari Katsumi Michika Ozeki
Estimated games
20.5
Recent form · 10 last
Nanari Katsumi 4-6 (W-L)
WLWWLLWLLL
Michika Ozeki 6-4 (W-L)
WLWWWWLLWL
Our model (Elo) vs Market Rating Elo · Nanari Katsumi 1491 · Michika Ozeki 1479
Nanari KatsumiMichika Ozeki
Our model52%48%
Market50%50%

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

Nanari KatsumiMichika Ozeki
Win %50%40%
Win % · Hard 50% (6) –
Sets (G-P)1.1-1.11-1.4
Games (G-P)9.2-9.29.9-12.3
Aces0.21.1
Double faults2.32.8
1st serve %55.8%55.1%
Break %48.9%52.4%
Estimated total games (ours) 20.5

Last 10 matches played

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

Nanari Katsumi

LWWLL

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Date Opponent Sets Games Res.
27/10 Renee Alame
W35 Sydney
1-2 9-12 L
22/10 Hikaru Sato
W35 Sydney
0-2 6-13 L
21/10 Laquisa Khan
W35 Sydney
2-1 16-13 W
20/10 Larisa Arnautovic
W35 Sydney
2-0 12-4 W
22/09 Wozuko Mdlulwa
W15 Monastir · ~Hard
0-2 5-12 L
18/09 Yekaterina Dmitrichenko
W15 Monastir · ~Hard
0-2 3-12 L
17/09 Julie Myatovic
W15 Monastir · ~Hard
2-0 12-4 W
16/09 Mandegar Farzami
W15 Monastir · ~Hard
2-0 12-3 W
10/09 Andre Lukosiute
W15 Monastir · ~Hard
0-2 5-12 L
09/09 Anjali Rathi
W15 Monastir · ~Hard
2-0 12-7 W

Michika Ozeki

WLLWL

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Date Opponent Sets Games Res.
19/10 Irina Balus
W75 Saguenay
0-2 3-12 L
18/10 Tori Kinard
W75 Saguenay
2-0 13-9 W
14/10 Kallista Liu
W50 Quebec City
0-2 5-12 L
26/09 Sakura Hosogi
W50 Nanao
0-2 10-13 L
25/09 Tiana Tian Deng
W50 Nanao
2-1 17-14 W
24/09 Kurumi Tamura
W50 Nanao
2-0 13-7 W
23/09 Yidi Yang
W50 Nanao
2-1 14-12 W
16/09 Eri Shimizu
W35 Kyoto
1-2 11-16 L
08/09 Ha Eum Lee
W15 Yeongwol
0-2 2-12 L
02/09 Eun Ji Lee
W15 Yeongwol
1-2 11-16 L

Frequently asked questions

Who is the favourite in Nanari Katsumi vs Michika Ozeki?

Our model gives 51% to Nanari Katsumi, 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.