Khunpon Aekmuangnon defeated Tang Qiqin by Unanimous Decision in round 3 (03:00) in the 129 lb Catchweight bout of ONE Friday Fights 112, held Friday, June 13, 2025 at Lumpinee Stadium, Bangkok.
Khunpon Aekmuangnon vs Tang Qiqin
Fight stats: totals
Same scale left and right on every row; the pale tail behind a bar is attempts
Where it landed
Significant strikes landed by target in this fight
Where it happened
Share of fight time at distance, in the clinch and on the ground
Round by round
Significant strikes landed per round
Bars share one scale across rounds. The side that landed more is solid.
Judges' Scorecards
ONE judges the whole fight, not round by round; no round scores are published.
Betting Odds
Average moneyline across 1 sportsbooks.
| Sportsbook | Khunpon Aekmuangnon | Tang Qiqin |
|---|---|---|
| Bovada | -250 | +185 |
Odds are for information only.
Build with this line: the same consensus odds, with opening and closing lines, are in the UFCalendar Fight API. Odds in the MMA Fight Data API
Insights
- Tang Qiqin spends 80% of fight time at distance.
- Khunpon Aekmuangnon spends 88% of fight time at distance.
Sig. strikes by zone
Where each fighter lands, as a share of significant strikes
Time in position
Share of fight time at distance, in the clinch and on the ground
Striking & grappling
Same scale left and right on every row
Bars in a row share one scale. The stronger side is solid; the pale tail behind takedowns is attempts.
Where the strikes land
Range × target
The range × target cross-tab is logged for UFC fights only.
The range × target cross-tab is logged for UFC fights only.
Share of significant strikes landed by range and target · landed / attempted in each cell.
Recent form · last 1
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Frequently asked questions
Who won Khunpon Aekmuangnon vs Tang Qiqin?
Khunpon Aekmuangnon defeated Tang Qiqin by Unanimous Decision in round 3 (03:00) in the 129 lb Catchweight bout of ONE Friday Fights 112, held Friday, June 13, 2025 at Lumpinee Stadium, Bangkok.
Get this bout's result and round-by-round stats as JSON with the MMA Fight Data API →