Tennis · W15 Yeongwol · 10/09, 04:30

Prediction: Thasaporn Naklo vs Fang An Lin

Team pages: Thasaporn Naklo

Prediction summary
Winner
66% 34%
Thasaporn Naklo Fang An Lin
Estimated games
21.2
Recent form · 10 last
Thasaporn Naklo 7-3 (W-L)
WWWWWWLWLL
Fang An Lin 5-5 (W-L)
WLWLLWWWLL
Our model (Elo) vs Market Rating Elo · Thasaporn Naklo 1533 · Fang An Lin 1505
Thasaporn NakloFang An Lin
Our model54%46%
Market77%23%

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

Thasaporn NakloFang An Lin
Win %60%50%
Sets (G-P)1.5-0.81.3-1.2
Games (G-P)11.6-9.510.4-10.5
Aces1.51.3
Double faults3.63.2
1st serve %64.9%59.3%
Break %50.7%50.2%
Estimated total games (ours) 21.2

Last 10 matches played

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

Thasaporn Naklo

LLWLW

Swipe the table sideways →

Date Opponent Sets Games Res.
09/09 Yu Jin Ahn
W15 Yeongwol
2-1 17-13 W
03/09 Dabin Kim
W15 Yeongwol
1-2 10-15 L
02/09 Eunyeong Park
W15 Yeongwol
2-0 13-8 W
19/08 Peangtarn Plipuech
W15 Tianjin
0-2 9-13 L
16/08 Chengyiyi Yuan
W15 Tianjin
1-2 11-15 L
15/08 Shihomi Li Xuan Leong
W15 Tianjin
2-0 13-7 W
14/08 Ya-Yi Yang
W15 Tianjin
2-0 12-6 W
13/08 Ruien Zhang
W15 Tianjin
2-0 12-5 W
12/08 Onyu Choi
W15 Tianjin
2-0 12-5 W
05/08 Ruien Zhang
W15 Tianjin
1-1 7-8 L

Fang An Lin

LWLWW

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Date Opponent Sets Games Res.
09/09 Ha Yoon Son
W15 Yeongwol
2-1 13-12 W
07/09 Dayeon Lee
W15 Yeongwol
2-1 11-7 W
02/09 Su Jeong Jang
W15 Yeongwol
1-2 13-15 L
01/09 Nana Kawagishi
W15 Yeongwol
2-0 13-7 W
18/08 Eunyeong Park
W15 Tianjin
1-2 8-11 L
29/07 Ya-Yi Yang
W15 Brisbane
0-2 4-12 L
23/07 Chia Yi Tsao
W15 Brisbane
0-2 6-12 L
22/07 Renee Alame
W15 Brisbane
2-0 12-5 W
16/07 Tori Russell
W15 Brisbane
1-2 12-16 L
15/07 Laquisa Khan
W15 Brisbane
2-0 12-8 W

Frequently asked questions

Who is the favourite in Thasaporn Naklo vs Fang An Lin?

Our model gives 66% to Thasaporn Naklo.

What is the prediction based on?

On an Elo model adjusted for opponent quality, compared with the market odds.