Chan-Yeong Oh — Kai-i Wang 1:2: match report and statistics
World Tennis. Luan · 30.09.2026 21:00 · Finished
Compare teamsHard
Who will win?
Votes: 0- Chan-Yeong Oh0%
- Draw0%
- Kai-i Wang0%
Overview
Chan-Yeong Oh vs Kai-i Wang ended 1:2 on 30.09.2026 21:00 (UTC) in World Tennis. Luan. Kai-i Wang took the victory.
Form of Chan-Yeong Oh in the last 6 matches: wins 3, draws 0, defeats 3. Form of Kai-i Wang in the last 6 matches: wins 5, draws 0, defeats 1.
Statistics and results: Chan-Yeong Oh, Kai-i Wang, World Tennis. Luan standings and results.
See also Tennis matches today. Want the same statistics on your site? Try an embeddable sports statistics widget.
Score by periods
| Team | 1 | 2 | 3 | Σ |
|---|---|---|---|---|
 Chan-Yeong Oh | 4 | 6 | 3 | 1 |
 Kai-i Wang | 6 | 4 | 6 | 2 |
Match statistics
- 1 Aces 9
- 1 Double faults 4
- 66.7% First Serve Percentage 65.9%
- 43 1st serve points won 48
- 96.8% Second Serve Percentage 86.7%
- 12 2nd serve points won 9
- 7 Break points Played 10
- 3 Break points converted 4
- 86 Total points won 95
- 2 Set Points 3
- 0 Match Points 1
Game by game
Chan-Yeong Oh
Kai-i Wang
0/0Service games won0/00Breaks00Break points converted0
- 0 : 115:0 15:15 30:15 40:15 40:30 40:40 40:Ad 0:0
- 1 : 115:0 30:0 40:0 0:0
- 1 : 215:0 15:15 15:30 15:40 0:0
- 1 : 315:0 15:15 15:30 15:40 0:0
- 2 : 30:15 0:30 15:30 30:30 40:30 0:0
- 3 : 315:0 30:0 40:0 0:0
- 3 : 415:0 15:15 15:30 15:40 0:0
- 3 : 515:0 15:15 15:30 15:40 0:0
- 3 : 60:15 0:30 15:30 15:40 :
Head-to-head
Chan-Yeong Oh?WLWWL
Matches played: 0
draws: 0
0 / 0
Wins
0 / 00 / 0
Points
0 / 0
Kai-i Wang?WWWWL
Matches
Previous matches: Chan-Yeong Oh
Previous matches: Kai-i Wang
Match info
- Tournament
- Luan
- Season
- 2026
World Tennis. Luan
From round:
Round of 32
Round of 16
Quarter-final
Semi-final
Max Purcell
Isaac BecroftMatch forecast and markets
Analysing recent matches…
Players' style of play
Analysing recent matches…
Trends
Analysing recent matches…
Win probability
Points won on serve: 62% Points won on serve: 62%Before the match: 50%Markov model: each player's chance to win a point on serve → game → set → match. Bars below show how much each point mattered.