TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 5:26 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between New Mexico and San Jose State. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends on which team scores more points in that specific segment of the contest.
If San Jose St. wins the 1st half of the New Mexico vs San Jose St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If New Mexico wins the 1st half of the New Mexico vs San Jose St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st half of the New Mexico vs San Jose St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, New Mexico winning the first half, San Jose State winning the first half, or a tie. The price of each contract reflects the market's current probability assessment of that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices fluctuate, providing a real-time indication of expectations for the New Mexico vs San Jose State game. The goal is for the contract prices to accurately reflect the likelihood of each result.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official first-half score of the New Mexico vs San Jose State game. The winning team, or a determination of a tie, will be based on the official game statistics as reported by a trusted sports data provider. The platform will then use this information to determine which contracts pay out, and at what value, based on the final score.
Several factors could influence trading activity in this market. Any news regarding injuries to key players on either the New Mexico or San Jose State teams would likely cause significant price movement. Changes in weather conditions, particularly if they are expected to impact the game, could also shift expectations. Publicly released analysis from sports experts or major betting syndicates could also influence trader behavior. Finally, large-volume trades by individual participants on Kalshi can create short-term price fluctuations as others react to those moves.