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, 3:15 PM EST
Kalshi
This set of markets tracks how many points are scored in the second half of a college football game between Notre Dame and Navy. Each market has a different threshold for the total points scored, allowing participants to speculate on the game's scoring intensity in the latter half.
All markets resolve based on the total points scored by both teams combined during the second half (including overtime) of the Notre Dame vs Navy college football game scheduled for October 31, 2026. Each market has a specific numerical threshold; if the combined second-half points exceed that 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. No points from the first half or any other segments contribute to these outcomes.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and information. Sportsbooks set initial lines to balance betting action, while this market aggregates diverse perspectives. If a significant number of traders believe a particular outcome is more likely than implied by sportsbook odds, the price on Kalshi will move accordingly. It’s common to see prediction markets outperform traditional sportsbooks in accuracy, especially as the event approaches and more information becomes available.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the outcome. The price of a contract reflects the probability of that outcome occurring, with higher prices indicating a greater perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded and those with inaccurate predictions may incur losses. This dynamic pricing mechanism aims to create a market price that accurately reflects the collective intelligence of participants.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the second half of the Notre Dame vs Navy football game will be used to determine whether the total points scored exceeded 6.5. The resolution will be based on official game statistics and will be sourced from reliable sports data providers. Traders will then be paid out based on whether their contracts align with the actual result.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Notre Dame or Navy football teams would likely cause movement. Changes in weather conditions, particularly if they are expected to significantly impact the game's scoring potential, could also shift the market. Furthermore, any late-breaking information about team strategies or adjustments could influence traders' expectations and affect the price. Public sentiment and betting patterns observed on Kalshi itself will also play a role in shaping the market's direction.