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Omar Jasika vs Mitsuki Wei Kang Leong — Prediction

Challenger Hard Shanghai challenger · 1. round 10:30

Predicted probability

Omar Jasika

Australia

49.55%

Mitsuki Wei Kang Leong

Malaysia

50.45%

Average Odds

1.55  /  2.33

Market probability

60.05%  /  39.95%

Why This Prediction?

This is a very close match — there is no significant statistical edge for either player.

Player Comparison

1559.9 Elo 1593.6
1568.7 Elo (surface) 1625.7
109 Wins (Challenger) 36
106 Wins (surface) 36
6 Last 15 form 11
0 Head-to-head wins 0
1.025 Dominance ratio 0.881
408 Rank 551
29.3 Age 22.1
left Hand right

Performance vs. the Odds

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

Omar Jasika

Heavy favorite (odds below 1.30) 3W–0L · 100.0%
Favorite (odds 1.30-1.80) 1W–2L · 33.3%
Even match (odds 1.80-2.20) 0W–0L · 0.0%
Underdog (odds 2.20-4.00) 1W–2L · 33.3%
Heavy underdog (odds above 4.00) 0W–0L · 0.0%

9 matches with market odds since 2026-08-30.

Mitsuki Wei Kang Leong

Heavy favorite (odds below 1.30) 4W–0L · 100.0%
Favorite (odds 1.30-1.80) 5W–2L · 71.4%
Even match (odds 1.80-2.20) 4W–1L · 80.0%
Underdog (odds 2.20-4.00) 2W–4L · 33.3%
Heavy underdog (odds above 4.00) 0W–0L · 0.0%

22 matches with market odds since 2026-07-07.

Serve & Return

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

Omar Jasika Mitsuki Wei Kang Leong

1st Serve In %

68.6%

1st Serve Points Won %

55.3%

2nd Serve Points Won %

40.4%

Return Points Won vs 1st Serve %

25.9%

Return Points Won vs 2nd Serve %

49.5%

Aces per Service Game

0.18

Double Faults per Service Game

0.26

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

1st Serve In %

68.9%
70.1%

1st Serve Points Won %

72.1%
67.0%

2nd Serve Points Won %

58.0%
48.3%

Return Points Won vs 1st Serve %

29.9%
28.3%

Return Points Won vs 2nd Serve %

55.0%
46.5%

Aces per Service Game

0.27
0.53

Double Faults per Service Game

0.15
0.22

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.

Omar Jasika Mitsuki Wei Kang Leong

Break Points Saved %

43.0%

Break Points Converted %

26.8%

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

Break Points Saved %

70.0%
52.7%

Break Points Converted %

37.9%
46.6%

Based on each player's last 10 Challenger matches.

Head-to-Head

Omar Jasika 00 Mitsuki Wei Kang Leong

Hard Shanghai challenger · 2026-09-08
6-2 6-1
2 Aces 2
0 Double Faults 2
50 Service Points 43
39 First Serve In 28
27 First Serve Won 13
8 Second Serve Won 5
2 Break Points Saved 2
3 Break Points Faced 7
- Winners -
- Unforced Errors -
1.6 Average Odds 2.3

Omar Jasika — Last 10

L L L W W W L W W L

Mitsuki Wei Kang Leong — Last 10

L W W W W L W W L W