TOTAL VOLUME:
$154.8b
24H VOL:
$244,077,041
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,901,278,909
407,043
Markets across
39,548
events
MATCHED EVENTS:
4,422
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 9:30 PM EST
Predict
Total corners markets for the MLS game between Orlando City SC and D.C. United SC, scheduled for October 17, 2026 at 7:30 PM ET.
Total corners markets for the MLS game between Orlando City SC and D.C. United SC, scheduled for October 17, 2026 at 7:30 PM ET.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks often set initial lines to balance action, while this market’s odds are driven purely by participants’ willingness to buy or sell based on their individual assessments. If a significant number of traders believe a particular outcome is more likely than implied by sportsbook odds, the price will move accordingly. It's common to see discrepancies, especially as new information emerges or public sentiment shifts closer to the event date.
On Predict, this market is priced through a continuous order book where traders can buy 'yes' or 'no' contracts. The price of these contracts fluctuates based on supply and demand, reflecting the collective belief of participants regarding the total number of corners in the match. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy 'yes' contracts (predicting over 8.5 corners), the price increases, and vice versa. This dynamic pricing mechanism aims to accurately represent the probability of the event occurring, as determined by the market participants.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The official corner count from the Orlando City SC vs. D.C. United SC match will be used to determine whether the total corners exceed 8.5. The resolution will be based on the official match statistics as reported by a recognized sports data provider, ensuring a transparent and verifiable outcome for all participants in this market.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either Orlando City SC or D.C. United SC could significantly shift expectations. Changes in weather conditions, particularly if they are expected to impact the style of play (e.g., strong winds favoring long balls and therefore more corners), could also move the market. Additionally, any tactical adjustments announced by either team’s manager that suggest a more attacking or defensive approach could influence traders’ predictions.