TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 3:42 PM EST
Kalshi
This set of markets focuses on predicting the outcome of the second half of an upcoming college football game, specifically analyzing by how many points either team might win during that period. Each market corresponds to a different point margin threshold that must be exceeded for the outcome to be considered successful.
All markets resolve based solely on points scored during the second half (including overtime) of the Indiana vs Michigan college football game scheduled for October 24, 2026. For markets where Indiana is the favorite, resolution occurs if Indiana wins the second half by more than the specified point margin. Conversely, for markets where Michigan is the favorite, resolution occurs if Michigan wins the second half by more than the specified point margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the official final result of the second half. If the game fails to start within this 48-hour window, all markets resolve to a fair price, meaning they settle based on equitable valuation rather than actual game outcome.
Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they can diverge based on differing information or biases. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to be accurate. If there’s a significant difference, it might indicate that prediction market participants have access to information not yet fully priced into sportsbook lines, or that they interpret available information differently. It’s common to see this market move independently of sportsbook odds as new information 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. As more traders buy contracts for a particular spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism ensures that the market reflects the most up-to-date collective assessment of the likely outcome. Traders are constantly adjusting their positions based on new information and their own analysis, leading to a fluid and responsive market.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final point spread for the second half of the Indiana vs Michigan game is verifiable from credible public reporting. The resolution will be based on the official result as reported by the governing body of college basketball. Traders who correctly predicted the spread will receive a payout based on the contract price at the time of resolution. It’s important to monitor official sources for the final score to understand how this market will settle.
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 movement. Changes in team performance during the first half of the game, or even pre-game reports on team strategy, could also impact the market. Unexpected weather conditions, if they affect playing style, might also play a role. Public sentiment, as reflected in betting patterns on Kalshi, will also contribute to price fluctuations as traders react to new information.