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 31, 4:33 PM EST
Kalshi
This event tracks various point spread scenarios for the first half of a college football game between UConn and Air Force. It examines different margins by which either team could lead at halftime, reflecting potential betting interest in precise scoring outcomes.
All markets resolve based solely on points scored during the first half of the designated UConn vs Air Force college football game. A 'Yes' outcome occurs when the winning team exceeds the specified point margin threshold within that timeframe. If the game is postponed but commences within 48 hours of its original schedule, results are determined from the actual played match. Markets are settled at fair value if the game fails to start within this 48-hour window. The markets cover a range of point differentials for both possible winners, from narrow margins like over 1.5 points to larger gaps such as over 17.5 points, allowing participants to assess varying levels of game control by either team in the opening half.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set lines based on their own models and risk management, while this market allows individuals to express their beliefs about the outcome. Discrepancies can arise due to differing levels of information, biases, or simply variations in opinion. It’s common to see this market incorporate news and analysis faster than traditional sportsbooks, potentially leading to price differences.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of traders regarding the likelihood of that spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to accurately predict the outcome, as profitable trades are rewarded. The current price represents the market's expectation, and changes in price signal shifts in sentiment.
This market resolves around Oct 31, 2026, with the outcome confirmed once the official first-half spread of the UConn vs Air Force 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 holding contracts on the correct spread will receive a payout, while those on incorrect spreads will not. The market's resolution is independent of any subjective interpretation and relies solely on the official game results.
Several factors could influence the price of this market before resolution. Any significant news regarding injuries to key players on either the UConn or Air Force teams would likely cause movement. Changes in public perception, driven by expert analysis or updated statistics, could also shift the market. Unexpected weather conditions, if they impact the game, might also play a role. Finally, large trading volume from informed traders could indicate new information or a change in sentiment, leading to price adjustments in this market.