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 24, 7:13 PM EST
Kalshi
This set of markets focuses on predicting the total points scored by both Michigan State and UCLA during the second half of their college football game, including any overtime periods. The outcomes vary based on different threshold values for the combined points scored in that specific segment of the match.
All markets resolve based on the total points scored by both teams combined during the second half (including overtime) of the designated college football game. For each market, if the combined second-half points exceed the specified threshold, the market resolves to Yes; otherwise, it resolves to No. Postponements are handled such that if the game commences within 48 hours of the original scheduled start time, the market remains active and resolves according to the final official result. If the game does not start within this 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold being evaluated.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely express their beliefs about the probability of different outcomes. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously buying and selling contracts in both markets. However, it’s important to remember that both types of odds represent probabilities as perceived by different groups.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of the event occurring – a higher price indicates a greater perceived chance of the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds based on their own analysis, news, and expectations, creating a dynamic and evolving price discovery process. This means the price will fluctuate as new information becomes available and more traders participate, reflecting the collective intelligence of the market.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final score of the second half of the Michigan State vs UCLA game is verifiable from credible public reporting. The resolution will be based on the official game statistics, and the market will settle to 100 for the winning side (over or under the total points). Traders holding contracts on the correct outcome will receive a payout of 100 per contract, while those on the incorrect side will lose their investment.
Several factors could influence this market before it resolves. Any news regarding key player injuries for either Michigan State or UCLA would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also affect the price. Furthermore, in-game performance during the first half, such as a dominant offensive showing by one team, could shift trader sentiment and cause the market to react. Public betting patterns and expert analysis could also play a role in shaping the market’s direction.