TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 6, 10:24 AM EST
Polymarket
This market refers to the tennis match between Lorenzo Rottoli and Lorenzo Angelini in the Genoa, Italy, Qualifying, originally scheduled for September 6, 2026 at 6:20AM ET. This market will resolve to 'Lorenzo Rottoli' if Lorenzo Rottoli advances against Lorenzo Angelini. This market will resolve to 'Lorenzo Angelini' if Lorenzo Angelini advances against Lorenzo Rottoli. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 20, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the ATP Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Lorenzo Rottoli and Lorenzo Angelini in the Genoa, Italy, Qualifying, originally scheduled for September 6, 2026 at 6:20AM ET. This market will resolve to 'Lorenzo Rottoli' if Lorenzo Rottoli advances against Lorenzo Angelini. This market will resolve to 'Lorenzo Angelini' if Lorenzo Angelini advances against Lorenzo Rottoli. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 20, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the ATP Tour. A consensus of credible reporting may also be used.
Generally, prediction markets like Polymarket often reflect information and insights beyond those considered by traditional sportsbooks. While sportsbooks set initial lines based on statistical models and expert opinions, this market incorporates the wisdom of the crowd, allowing for a potentially more accurate assessment of the likely outcome. Discrepancies can arise due to differing opinions on player form, potential upsets, or even external factors influencing the match. It’s worth comparing the odds to see where the market diverges from conventional wisdom.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective intelligence of those trading, and changes based on supply and demand for shares. A higher price indicates greater confidence in that particular outcome, while a lower price suggests less confidence.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Genoa tennis match, as reported by recognized sports authorities. The market will determine which player, Lorenzo Rottoli or Lorenzo Angelini, won the match. Once the official result is available, the market will settle, and shares will be redeemed accordingly.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in playing conditions, or even significant shifts in public perception could cause the odds to move. Unexpected announcements about player form or strategy could also impact trader sentiment. Furthermore, large trading volume from informed participants could signal new information entering the market, leading to price adjustments. Monitoring these signals can provide insight into how the market is reacting to evolving information.