TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 11:18 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either UCLA or California in the first quarter of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded for the outcome to be considered valid.
These markets resolve based on the point differential in the first quarter of the UCLA vs California college football game scheduled for September 5, 2026. For markets where UCLA is the favorite, resolution occurs if UCLA wins the first quarter by more than the specified point spread (e.g., 2.5, 3.5, 6.5, 7.5, or 10.5 points). For markets where California is the favorite, resolution occurs if California wins the first quarter by more than the specified point spread (e.g., 2.5, 3.5, 6.5, 7.5, or 10.5 points). Only points scored during the first quarter count toward these markets. If the game is postponed but commences within 48 hours of its original scheduled start time, the markets remain active and resolve based on the official result. If the game does not start within 48 hours of the scheduled time, the markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own modeling and aim to balance action on both sides, while this market relies on individuals freely trading contracts based on their own beliefs. If a significant number of traders believe a particular spread is likely, the price will move accordingly, potentially diverging from initial sportsbook lines. It’s common to see prediction markets offer more accurate probabilities, especially as event time approaches, as they aggregate diverse perspectives.
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 indicates the probability of that spread occurring. As more traders buy contracts for a specific 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. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities based on collective intelligence. The current price reflects the aggregated beliefs of all participants trading on Kalshi.
This market resolves around Sep 6, 2026, with the outcome confirmed once the final first-quarter spread of the UCLA vs California game is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing body of college football. The market will determine which contracts pay out based on whether the actual spread falls within the range represented by the purchased contracts. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding contracts on incorrect spreads will not.
Several factors could influence the price of this market before the game concludes. News regarding key player injuries for either UCLA or California would likely have a significant impact, as would any major shifts in public perception or expert analysis. Unexpected weather conditions or changes in coaching strategies could also move the market. Furthermore, large volume trades on Kalshi by informed traders could signal new information or a change in sentiment, causing the spread to adjust accordingly. Monitoring these signals will be crucial for traders looking to capitalize on market movements.