TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 2:30 AM EST
Kalshi
This market focuses on predicting the outcome of the second half of a college football game between Texas State and San Diego State, specifically whether one team will win by a certain margin of points.
The markets resolve based on the point differential in the second half (including overtime) of the Texas State versus San Diego State college football game scheduled for October 3, 2026. Each market corresponds to a specific point threshold, with various thresholds offered for both teams winning by more than the specified amount. Only points scored in the second half, including overtime, are considered for resolution. If the game is postponed but starts within 48 hours of the original time, it remains active; if not started within 48 hours, markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which are set by professional oddsmakers. Sportsbooks may incorporate factors like public betting percentages and risk management into their lines, while this market is driven purely by traders’ willingness to buy or sell. Historically, prediction markets have demonstrated accuracy in forecasting event outcomes, sometimes outperforming traditional methods. However, it’s important to note that both represent probabilities and can be influenced by various factors, leading to discrepancies in their assessments of the same event.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different spread outcomes. The price of each contract reflects the market’s collective assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. The closer the game gets, the more active the trading typically becomes, as new information and analysis emerge, influencing the perceived value of each contract. This dynamic pricing mechanism aims to provide a real-time estimate of the likely spread.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the Texas St. vs San Diego St. game, as reported by a recognized sports data source. The market will settle to 100 if the actual spread falls within the range of contracts purchased, and to 0 otherwise. Traders holding contracts on the correct spread will receive a payout, while those on the incorrect spread will forfeit their investment. The resolution process ensures a transparent and objective determination of the market’s outcome.
Several signals could impact this market before Oct 4, 2026. News regarding key player injuries or suspensions for either Texas St. or San Diego St. would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions, could also influence trading activity. Unexpected coaching decisions or strategic shifts announced by either team might also prompt traders to reassess their positions. Finally, any substantial public betting patterns observed at sportsbooks could indirectly affect this market as traders react to broader sentiment, though this market operates independently.