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 31, 11:12 PM EST
Kalshi
These markets focus on predicting the margin of victory for either Ohio State or USC in the second half of their college football matchup, including any overtime periods. Each market corresponds to a specific point differential threshold that must be exceeded for the bet to win.
All markets resolve based solely on points scored during the second half (including overtime) of the Ohio St. vs USC college football game scheduled for Oct 31, 2026. A 'Yes' outcome occurs if the specified team's victory margin in that half exceeds the stated point threshold. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets settle at a fair price, reflecting equitable treatment for all participants. The markets cover varying point differentials for both teams, allowing participants to bet on different levels of dominance in the second half.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. It’s common to see discrepancies, especially before significant events or breaking news. Examining these differences can provide insights into where public sentiment diverges from professional analysis regarding the Ohio State vs USC game.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the second half of the Ohio State vs USC game will be used to determine which contracts pay out. The resolution will be based on the official result reported by a trusted sports data source. Traders will then receive payouts based on whether their chosen spread aligned with the actual game result.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Ohio State or USC teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also affect trading activity. Finally, any late-breaking news or analysis from reputable sports commentators could shift the perceived probabilities and cause the spread to adjust as traders react to the latest information.