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 31, 9:16 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Georgia Tech and Pittsburgh. It focuses solely on the scoring during the first half, ignoring the final game result. The outcome depends on whether Georgia Tech, Pittsburgh, or neither team (in case of a tie) holds the lead when the first half concludes.
If Pittsburgh wins the 1st half of the Georgia Tech vs Pittsburgh college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes. If Georgia Tech wins the 1st half of the Georgia Tech vs Pittsburgh college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Georgia Tech vs Pittsburgh college football game originally scheduled for Oct 30, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of informed traders, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. If a significant number of traders believe a team is more likely to win than sportsbooks suggest, the price will move accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts leading up to the game.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Georgia Tech-Pittsburgh game will be declared the winner. The resolution will be based on official game statistics and results as reported by a trusted sports data source. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will forfeit their investment.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either Georgia Tech or Pittsburgh would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team’s playing style, could also impact trading activity. Unexpected announcements about coaching strategies or team morale might also shift market sentiment. Finally, large volume trades from informed individuals could create short-term price fluctuations as traders react to new information or adjust their positions.