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Omar Jasika vs Marat Sharipov — Prediction

Challenger Hard Wuning 3 challenger · R16 04:00

Predicted probability

Omar Jasika

Australia

26.24%

Marat Sharipov

Russia

73.76%

Average Odds

3.80  /  1.22

Market probability

24.30%  /  75.70%

Why This Prediction?

Marat Sharipov is the favorite because he has a higher Elo rating (1831 vs 1506), a higher Elo rating on hard courts (1833 vs 1495) and more aces per game (0.46 vs 0.10).

Player Comparison

1505.8 Elo 1830.9
1494.6 Elo (surface) 1833.1
113 Wins (Challenger) 63
110 Wins (surface) 54
8 Last 15 form 13
0 Head-to-head wins 2
1.182 Dominance ratio 1.005
422 Rank 234
29.4 Age 24.0
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) 4W–0L · 100.0%
Favorite (odds 1.30-1.80) 2W–2L · 50.0%
Even match (odds 1.80-2.20) 0W–0L · 0.0%
Underdog (odds 2.20-4.00) 1W–3L · 25.0%
Heavy underdog (odds above 4.00) 0W–0L · 0.0%

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

Marat Sharipov

Heavy favorite (odds below 1.30) 4W–0L · 100.0%
Favorite (odds 1.30-1.80) 2W–2L · 50.0%
Even match (odds 1.80-2.20) 6W–1L · 85.7%
Underdog (odds 2.20-4.00) 2W–0L · 100.0%
Heavy underdog (odds above 4.00) 0W–0L · 0.0%

17 matches with market odds since 2026-06-29.

Serve & Return

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

Omar Jasika Marat Sharipov

1st Serve In %

68.6%
52.3%

1st Serve Points Won %

55.3%
70.6%

2nd Serve Points Won %

40.4%
41.9%

Return Points Won vs 1st Serve %

25.9%
14.3%

Return Points Won vs 2nd Serve %

49.5%
42.9%

Aces per Service Game

0.18
0.40

Double Faults per Service Game

0.26
0.50

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

1st Serve In %

69.7%
—

1st Serve Points Won %

76.1%
—

2nd Serve Points Won %

62.0%
—

Return Points Won vs 1st Serve %

36.9%
—

Return Points Won vs 2nd Serve %

63.8%
—

Aces per Service Game

0.21
0.96

Double Faults per Service Game

0.09
0.16

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 Marat Sharipov

Break Points Saved %

43.0%
62.5%

Break Points Converted %

26.8%
—

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

Break Points Saved %

56.2%
68.0%

Break Points Converted %

43.7%
30.8%

Based on each player's last 10 Challenger matches.

Head-to-Head

Omar Jasika 0 – 2 Marat Sharipov

Hard Shanghai challenger · 2026-09-11
6-4 6-4
1 Aces 6
2 Double Faults 0
- Service Points -
- First Serve In -
37 First Serve Won 35
6 Second Serve Won 7
4 Break Points Saved 0
6 Break Points Faced 0
- Winners -
- Unforced Errors -
1.4 Average Odds 2.8
Hard Gwangju CH · 2026-04-20
6-4 6-1
6 Aces 0
1 Double Faults 2
44 Service Points 41
26 First Serve In 29
20 First Serve Won 16
11 Second Serve Won 3
1 Break Points Saved 2
3 Break Points Faced 7
- Winners -
- Unforced Errors -
- Average Odds -

Omar Jasika — Last 10

L W W L L L W W W L

Marat Sharipov — Last 10

W L W W W W W W W W