TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
AS Giana Erminio
- Polymarket
AS Giana Erminio - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 8, 2026
Time left: 05d:14h:18m
$
In the upcoming Serie C game between AS Giana Erminio and AS Cittadella, originally scheduled for Sunday, November 8, 2026 at 8:30 AM ET (as of creation of the first market related to the event):
In the upcoming Serie C game between AS Giana Erminio and AS Cittadella, originally scheduled for Sunday, November 8, 2026 at 8:30 AM ET (as of creation of the first market related to the event):
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 more traders participate, the price adjusts to reflect the collective wisdom of the crowd. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market's price isn't determined by a central authority but emerges from the interactions of buyers and sellers, creating a dynamic and potentially more accurate forecast than traditional methods.
This market resolves around Nov 8, 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 AS Giana Erminio vs. AS Cittadella match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine which outcome is the winner. Traders will then be able to claim their winnings based on the final result.
Several factors could influence the price of this market before Nov 8, 2026. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift expectations. Match previews from reputable sports analysts, weather forecasts impacting playing conditions, and even public sentiment expressed on social media can all contribute to price movements. Unexpected results in other matches involving these teams could also affect the perceived likelihood of different outcomes in the AS Giana Erminio vs. AS Cittadella match.