TOTAL VOLUME:
$154.2b
24H VOL:
$203,036,808
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,857,846,526
408,774
Markets across
40,345
events
MATCHED EVENTS:
4,373
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 10:48 PM EST
Kalshi
This market tracks which team will lead after the first quarter of a college football game between Texas State and Boise State. It focuses solely on the scoring during the initial 15 minutes of play, ignoring the rest of the game. The outcome depends on whether Texas State, Boise State, or neither team (in case of a tie) scores more points in that specific period.
If Boise St. wins the 1st quarter of the Texas St. vs Boise St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Texas St. wins the 1st quarter of the Texas St. vs Boise St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Texas St. vs Boise St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of a diverse group of bettors, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals freely trading their opinions. It’s common to see discrepancies, especially before significant events or when new information emerges. Analyzing these differences can be valuable for informed decision-making, but remember that both represent probabilities as perceived by different groups.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first quarter of the Texas St. vs Boise St. game will determine the outcome. The resolution will be based on the official game results as reported by a trusted sports data source. Traders who correctly predicted the first quarter winner will receive a payout based on the final market prices at resolution.
Several factors could influence this market before the game concludes. News regarding key player injuries or changes in team strategy could significantly shift expectations. Unexpected weather conditions or even pre-game analysis from respected sports commentators could also impact trading activity. Any information that alters the perceived probability of either team winning the first quarter is likely to cause movement in the market, reflecting the collective response of traders on Kalshi.