Tennis · M15 Bali · 05/09, 04:00

Prediction: Leo Borg vs Isaac Becroft

Team pages: Leo Borg · Isaac Becroft

Prediction summary
Winner
50% 50%
Leo Borg Isaac Becroft
Estimated games
22.4
Recent form · 10 last
Leo Borg 8-2 (W-L)
LLWWWWWWWW
Isaac Becroft 6-4 (W-L)
WLLLWWLWWW
Our model (Elo) vs Market Rating Elo · Leo Borg 1557 · Isaac Becroft 1581
Leo BorgIsaac Becroft
Our model47%53%
Market54%46%

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 BorgIsaac Becroft
Win %70%70%
Win % · Clay 67% (6)
Sets (G-P)1.6-0.81.4-0.7
Games (G-P)12.6-10.510.7-8.1
Aces4.54.7
Double faults1.81.8
1st serve %73.5%70.8%
Break %54.2%53.6%
Estimated total games (ours) 22.4

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

WLWWW

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Date Opponent Sets Games Res.
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
21/08 Stefan Seifert
M15 Bastad · ~Clay
2-1 16-12 W
20/08 Karl Friberg
M15 Bastad · ~Clay
2-0 12-3 W
19/08 Lucas Renard
M15 Bastad · ~Clay
2-0 12-7 W
12/08 Kevin Edengren
M15 Malmo
1-2 11-16 L
28/07 Vlado Jankanj
M15 Kursumlijska Banja · ~Clay
0-2 8-13 L

Isaac Becroft

WLWWW

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Date Opponent Sets Games Res.
04/09 Digvijay Pratap Singh
M15 Bali
2-0 13-7 W
03/09 Yan Cheng Chen
M15 Bali
2-0 7-2 W
02/09 Udit Kamboj
M15 Bali
2-0 12-4 W
21/08 Fitriadi M Rifqi
M15 Maanshan · ~Hard
0-2 10-13 L
20/08 Rigele Te
M15 Maanshan · ~Hard
2-0 12-5 W
19/08 Fumin Jiang
M15 Maanshan · ~Hard
2-0 12-5 W
13/08 Duckhee Lee
M15 Tianjin
0-2 7-12 L
12/08 Ye Chen
M15 Tianjin
2-1 17-14 W
08/08 Matthew Dellavedova
M15 Tianjin
0-2 5-12 L
07/08 Hanlei Lu
M15 Tianjin
2-0 12-7 W

Frequently asked questions

Who is the favourite in Leo Borg vs Isaac Becroft?

Our model gives 50% to Leo Borg, using surface Elo on clay.

What is the prediction based on?

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