TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 1:04 PM EST
Polymarket
In the upcoming Serie B game between L.R. Vicenza and SS Juve Stabia, scheduled for September 12, 2026 at 9:00 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Serie B game between L.R. Vicenza and SS Juve Stabia, scheduled for September 12, 2026 at 9:00 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, this market is priced through a continuous order book where traders submit bids and asks to buy or sell shares of possible outcomes. The current top outcome reflects the highest probability as determined by the collective bets placed. Volume and recent trade activity heavily influence price movements, and traders can react instantly to new data or shifts in sentiment, making the market’s price a live reflection of participant expectations.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official halftime score of the match, which is compared against the traded outcomes to settle all positions. Traders should ensure they understand how the platform verifies results to avoid any confusion about when and how payouts will occur.
Injuries to key players, weather conditions, or early-game momentum shifts could all move this market as the match approaches. Any public analysis, expert predictions, or betting trends that gain traction may also influence trader sentiment. Additionally, if live odds from sportsbooks change dramatically, that could trigger a ripple effect across this market, prompting traders to adjust their positions based on new perceived probabilities.