TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 12:30 PM EST
Predict
In the upcoming Bundesliga game between FC Schalke 04 and RB Leipzig, scheduled for October 31, 2026 at 10:30 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 Bundesliga game between FC Schalke 04 and RB Leipzig, scheduled for October 31, 2026 at 10:30 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 Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different halftime outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information, their own analysis, and their expectations of how others will behave. This dynamic process leads to a market price that represents the aggregated forecast of all traders on Predict.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the FC Schalke 04 versus RB Leipzig match will be used to determine which outcome wins. The outcome will be based on the official result declared by the governing football league and will be verified against credible public sources. Traders will then be paid out according to their positions in this market.
Several signals could move this market before resolution. Any news regarding injuries to key players on either Schalke 04 or RB Leipzig would likely have a significant impact. Changes in team formations or tactical approaches announced before the match could also shift expectations. Furthermore, unexpected weather conditions on match day, or even significant pre-game commentary from analysts, could influence trader behavior and cause the odds to fluctuate. Public sentiment, as reflected in social media or other polls, might also play a role, though to a lesser extent.