TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 9:42 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Arkansas-Pine Bluff and Missouri. It focuses solely on the scoring during the first half, ignoring the final game result. The outcome depends on whether Missouri, Arkansas-Pine Bluff, or neither team (in case of a tie) holds the advantage after the first 30 minutes of play.
If Missouri wins the 1st half of the Arkansas-Pine Bluff vs Missouri college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes. If Arkansas-Pine Bluff wins the 1st half of the Arkansas-Pine Bluff vs Missouri college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Arkansas-Pine Bluff vs Missouri college football game originally scheduled for Sep 3, 2026, then the market resolves to Yes.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding and asking, creating a dynamic market curve. The current top outcome reflects the aggregate belief of participants about which team will lead at halftime. Volume of $12,116 over the last 24 hours shows how actively this market is being traded, with price shifts driven by news, team performance updates, and betting patterns.
This market resolves around Sep 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half is determined by the official game results, and the market settles accordingly based on those verified scores.
Injuries, lineup changes, or weather conditions could shift expectations and move this market. Key moments like recent performance trends, coaching strategies, or even pre-game media commentary may influence trader sentiment. Any last-minute roster updates or changes in team dynamics can cause rapid price adjustments as participants react to new information before the game begins.