TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 12:00 AM EST
Polymarket
This market tracks the total rushing yards for USC in their game against Penn State, as determined by official NCAA statistics. Currently, the consensus probability that USC’s total rushing yards will be over/under 125.5 is 100.0%. This aggregate reflects data from Kalshi and Polymarket, with resolution sourced from https://www.ncaa.com/. Keep an eye on the game itself, as the market will remain open until the game is completed, with resolution expected by 2026-10-10, the estimated end date of the betting period.
In the upcoming college football game between USC and Penn State, scheduled for October 10 at 7:30PM ET: This market will resolve to "USC" if USC win the game. This market will resolve to "Penn State" if Penn State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
All markets resolve based on the total points scored by both teams in the first half of the USC vs Penn St. college football game scheduled for Oct 10, 2026. Each market has a specific threshold (ranging from over 2.5 points to over 41.5 points); if the combined first-half score exceeds the threshold, the market resolves to 'Yes.' Postponements are handled such that if the game starts within 48 hours of the original time, it remains active and resolves based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points from the first half count, and Kalshi disclaims any affiliation with the NCAA.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs about the USC vs. Penn State game. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. Prediction markets also tend to incorporate information more quickly as new data emerges, potentially leading to more accurate probabilities over time.