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: Nov 1, 1:09 AM EST
Kalshi
This market tracks the probability of Boise State’s second-half team total exceeding 16.5 points in their upcoming college football game against Texas State. Currently, the aggregated consensus across Polymarket and Kalshi gives a 100.0% probability to this outcome. Resolution will be based on the official results reported by https://www.ncaa.com/. Keep an eye on the game itself, scheduled for October 31st, as the final score will determine the outcome of this market.
In the upcoming college football game between Texas State and Boise State, scheduled for October 31 at 10:00PM ET: This market will resolve to "Texas State" if Texas State win the game. This market will resolve to "Boise State" if Boise State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves to Yes if the specified team wins the Texas St. vs Boise St. college football game originally scheduled for Oct 31, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds, like those reflected in this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. This can lead to prediction markets being more efficient in their pricing, especially as more information becomes available. Furthermore, prediction markets allow participants to take both sides of a bet, unlike many sportsbooks, impacting the overall price discovery process.
Prices for the Texas State vs. Boise State game may differ between Polymarket and Kalshi due to variations in trader demographics, market design, and liquidity. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts a different pool of participants with varying risk appetites and predictive insights, influencing price discovery. Furthermore, the specific contract structures and fee schedules on each platform can contribute to price discrepancies. Differences in trading volume—Polymarket currently has a volume of $14,224,695—can also lead to temporary price divergences as markets react to new information at different speeds.