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Sumit Nagal vs Yibing Wu — Prediction

ATP Hard Asian Games · QF 05:00

Predicted probability

Sumit Nagal

India

22.91%

Yibing Wu

China

77.09%

Average Odds

-  /  -

Market probability

-  /  -

Why This Prediction?

Yibing Wu is the favorite because he has a higher Elo rating on hard courts (1864 vs 1602), a higher Elo rating (1864 vs 1699) and a stronger serve (62.1% vs 58.5% of service points won).

Player Comparison

1698.9 Elo 1864.3
1601.8 Elo (surface) 1863.8
48 Wins 54
23 Wins (surface) 46
5 Last 15 form 5
0 Head-to-head wins 1
0.889 Dominance ratio 0.894
249 Rank 111
29.1 Age 27.0
right Hand right

Performance vs. the Odds

Career record grouped by how big a favorite the market made each player, based on their average odds.

Sumit Nagal

Heavy favorite (odds below 1.30) 1W–1L · 50.0%
Favorite (odds 1.30-1.80) 4W–4L · 50.0%
Even match (odds 1.80-2.20) 6W–2L · 75.0%
Underdog (odds 2.20-4.00) 2W–1L · 66.7%
Heavy underdog (odds above 4.00) 0W–1L · 0.0%

22 matches with market odds since 2026-05-26.

Yibing Wu

Heavy favorite (odds below 1.30) 3W–2L · 60.0%
Favorite (odds 1.30-1.80) 2W–4L · 33.3%
Even match (odds 1.80-2.20) 2W–0L · 100.0%
Underdog (odds 2.20-4.00) 0W–0L · 0.0%
Heavy underdog (odds above 4.00) 0W–3L · 0.0%

16 matches with market odds since 2026-05-25.

Serve & Return

Serve and return win rates from each player's last 10 matches at the selected level.

Sumit Nagal Yibing Wu

1st Serve In %

67.2%
60.4%

1st Serve Points Won %

61.8%
71.3%

2nd Serve Points Won %

46.8%
50.3%

Return Points Won vs 1st Serve %

28.0%
28.5%

Return Points Won vs 2nd Serve %

38.6%
46.0%

Aces per Service Game

0.17
0.46

Double Faults per Service Game

0.22
0.22

Based on each player's last 10 ATP/Grand Slam matches.

1st Serve In %

65.1%
55.5%

1st Serve Points Won %

63.6%
70.7%

2nd Serve Points Won %

44.7%
48.9%

Return Points Won vs 1st Serve %

35.9%
30.3%

Return Points Won vs 2nd Serve %

42.8%
51.1%

Aces per Service Game

0.24
0.32

Double Faults per Service Game

0.28
0.31

Based on each player's last 10 Challenger matches.

Break Point Performance

How each player handles the biggest points - break points saved serving, and converted returning - from their last 10 matches at the selected level.

Sumit Nagal Yibing Wu

Break Points Saved %

52.3%
64.6%

Break Points Converted %

18.2%
35.2%

Based on each player's last 10 ATP/Grand Slam matches.

Break Points Saved %

58.1%
56.5%

Break Points Converted %

34.4%
41.5%

Based on each player's last 10 Challenger matches.

Head-to-Head

Sumit Nagal 0 – 1 Yibing Wu

Hard Shanghai Masters · 2024-10-02
6-3 6-3
7 Aces 0
4 Double Faults 1
52 Service Points 57
28 First Serve In 40
22 First Serve Won 22
14 Second Serve Won 7
1 Break Points Saved 3
2 Break Points Faced 7
- Winners -
- Unforced Errors -
- Average Odds -

Sumit Nagal — Last 10

L L W L L W W W L L

Yibing Wu — Last 10

L W W L L W L W W W