TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 28, 5:45 PM EST
Predict
Total corners markets for the Serie A game between Genoa CFC and Juventus FC, scheduled for October 28, 2026 at 3:45 PM ET.
Total corners markets for the Serie A game between Genoa CFC and Juventus FC, scheduled for October 28, 2026 at 3:45 PM ET.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk assessment, while this market aggregates the beliefs of many individual traders. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probability of an event. It's common to see prediction markets move faster to incorporate new information, potentially leading to odds that diverge from sportsbooks, especially as the event approaches.
On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of the traders. As more people buy contracts predicting a higher number of corners, the price of those contracts increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real-time, making it a valuable tool for assessing the likely outcome of the match.
This market resolves around Oct 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of corners taken during the Genoa CFC vs. Juventus FC match will be used to determine the winning contracts. The official match statistics, as reported by a reputable sports data provider, will serve as the source of truth for the total corner count. Traders will be able to see their positions settled based on this verified result.
Several factors could influence the price of this market. Late-breaking news regarding key players – such as injuries or suspensions affecting attacking players known for winning corners – would likely cause movement. Changes in weather conditions, particularly strong winds which can affect the style of play and corner opportunities, could also be a catalyst. Even pre-match tactical analysis suggesting one team is likely to adopt a corner-heavy strategy could shift trader sentiment. Additionally, significant betting activity on other related markets might indirectly impact this market.