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 24, 12:53 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory in the first quarter of an upcoming college football game. Participants can bet on whether a team will win by a specific point differential within the initial 15 minutes of play, offering various thresholds for both teams.
All markets resolve based solely on points scored during the first quarter of the Indiana vs Michigan college football game scheduled for October 24, 2026. Each market has a specific point differential threshold that must be exceeded by the winning team for a 'Yes' resolution. If Indiana wins, markets requiring Indiana to win by more than the listed margin will resolve to 'Yes'; otherwise, they resolve to 'No.' Conversely, if Michigan wins, markets requiring Michigan to win by more than the listed margin will resolve to 'Yes'; otherwise, they resolve to 'No.' Should the game be postponed but commence within 48 hours of the original start time, all markets remain active and resolve based on the official result. If the game fails to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with, but sometimes diverging from, traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by the collective predictions of individual traders. Discrepancies can arise due to differing information, biases, or simply variations in opinion. It’s common to see this market incorporate new information and adjust prices more rapidly than sportsbooks, especially as game day approaches and more data becomes available.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. Traders are incentivized to accurately predict the outcome, as profits are earned when their predictions are correct. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if more traders believe Indiana will cover a certain spread, the price of contracts representing that outcome will increase, and vice versa.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final first-quarter spread of the Indiana vs Michigan game is verifiable from credible public reporting. The resolution will be based on the official result reported by a recognized sports data provider. Traders holding contracts on the correct spread will receive a payout of 100, while those holding contracts on incorrect spreads will receive nothing. The platform will verify the outcome and distribute payouts accordingly.
Several factors could influence the Indiana vs Michigan spread between now and game time. Any news regarding key player injuries on either team would likely cause significant price movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also shift the market. Public betting patterns and analysis from sports analysts can also influence trader sentiment. Finally, any late-breaking news or developments related to team morale or coaching strategies could contribute to fluctuations in this market.