TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 3:30 PM EST
Kalshi
This market tracks whether the UFC lightweight fight between Rafa Garcia and Rongzhu at Noche UFC on September 12, 2026 will go over or under 2.5 rounds. Currently, the aggregated probability across Polymarket and Kalshi indicates a 99.5% chance of the fight going Over 2.5 Rounds, with resolution based on the official results reported at https://www.ufc.com/events. Keep an eye on the fighters’ performance and potential injuries leading up to the event on September 12, 2026, as these could significantly impact the fight’s duration.
This market will resolve to "Rafa Garcia" if Rafa Garcia is officially declared the winner of the fight against Rongzhu at Noche UFC: Silva vs. Delgado, scheduled for September 12, 2026. It will resolve to "Rongzhu" if Rongzhu is officially declared the winner. If the fight is declared a draw or technical draw, ruled a No Contest, not scored, canceled, or postponed beyond September 26, 2026, this market will resolve "50-50." The resolution source for this market will be official information from the UFC.
If Rafa Garcia wins the Garcia vs Zhu professional MMA fight originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Rong Zhu wins the Garcia vs Zhu professional MMA fight originally scheduled for Sep 12, 2026, then the market resolves to Yes.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the likely outcome of the Garcia vs. Rongzhu fight. Discrepancies can arise due to differing information, biases, or simply variations in how each entity assesses the probabilities. It’s often useful to compare both to gain a more comprehensive view.