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, 5:26 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Bettors can choose from various thresholds to speculate on whether one team will establish a significant lead early in the match.
All markets resolve based solely on points scored during the first half of the Michigan St. vs UCLA college football game scheduled for Oct 24, 2026. Each market has a specific point differential threshold: if UCLA wins by exceeding the stated margin, the corresponding 'UCLA wins by over X points' market resolves to Yes; if Michigan St. wins by exceeding its threshold, that market resolves to Yes. Markets are evaluated independently, meaning multiple could resolve as Yes depending on the outcome. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve based on the final first-half result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, typically reflecting the probability of the stated outcome had the game been played as scheduled. No affiliation with the NCAA is implied or claimed in these rules.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for a profit margin, while this market is driven purely by traders’ beliefs about the probability of different outcomes. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts. Comparing the two can offer a broader perspective on the likely result of the first half.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of a contract indicates the probability of that spread occurring. As more traders buy contracts for a particular spread, its price increases, reflecting growing confidence in that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at various price points, giving you insight into the level of demand and supply for each spread. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations.
This market resolves around Oct 24, 2026, with the outcome confirmed once the actual first-half spread of the Michigan State vs UCLA game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college basketball. Traders who correctly predicted the first-half spread will receive a payout based on the contract price at the time of resolution, while those who predicted incorrectly will forfeit their stake.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Michigan State or UCLA teams would likely cause significant movement. Changes in public perception, driven by expert analysis or social media sentiment, can also impact trading activity. Additionally, late-breaking news about team strategies or weather conditions could shift expectations. Even the release of updated statistics or performance metrics could lead to adjustments in the market price as traders reassess the probabilities.