TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 4:19 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first quarter of a college football game between Rice and Notre Dame. Each market corresponds to a specific threshold of points by which either team must win the first quarter to resolve as 'Yes'.
All markets resolve based solely on the point differential in the first quarter of the Rice vs Notre Dame college football game scheduled for September 12, 2026. If Notre Dame wins the first quarter by exceeding the specified point threshold—from 2.5 to 23.5 points—the corresponding 'Notre Dame wins 1Q by over X points' market resolves to Yes. Conversely, if Rice wins the first quarter by exceeding the specified threshold—from 2.5 to 10.5 points—the relevant 'Rice wins 1Q by over X points' market resolves to Yes. Should the game be postponed but commence within 48 hours of its original scheduled start time, all markets remain active and resolve according to the official first-quarter result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing or outcome beyond the first quarter.
Generally, prediction markets like Kalshi often reflect information and insights different from those captured in traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the wisdom of the crowd. As a result, you may find discrepancies between the two. It’s common to see prediction markets move faster to incorporate new information, such as injury reports or weather conditions, than sportsbooks, though this is not always the case. Comparing the two can provide a more comprehensive view of potential outcomes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to accurately assess the likelihood of each outcome, as they profit from correctly predicting the result. The more buyers for a particular spread, the higher its price, and vice versa. This dynamic process creates a real-time assessment of the event’s potential outcomes.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the first quarter between Rice and Notre Dame will be used to determine which contracts pay out. The resolution will be based on official game statistics, ensuring a transparent and verifiable result. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not. It’s important to monitor the event closely as the resolution date approaches.
Several signals could significantly impact this market. Any news regarding key player injuries for either Rice or Notre Dame would likely cause movement, as would changes in weather forecasts that could affect the game's style of play. Unexpected coaching decisions or shifts in team strategy could also influence trader sentiment. Furthermore, large volume trades on Kalshi could indicate informed activity and trigger price adjustments. Public perception and analysis from sports commentators could also play a role, though the market's response will depend on the credibility and influence of those sources.