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, 10:18 PM EST
Kalshi
This market focuses on determining which team will score more points in the second half of a college football game between Washington State and San Diego State. It highlights the potential shift in momentum or strategy that can occur after halftime. The outcome depends solely on second-half performance, not the overall game result.
If San Diego St. wins the 2nd half (including overtime) of the Washington St. vs San Diego St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Washington St. wins the 2nd half (including overtime) of the Washington St. vs San Diego St. college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the Washington St. vs San Diego 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 order book where traders buy and sell contracts representing each possible outcome. The price of each contract reflects the market’s implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s depth and volume—currently $8,493—influence how much prices can move in response to individual trades. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.
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 second half of the Washington State vs. San Diego State game will determine the outcome. The official game results, as reported by a recognized sports data provider, will be used to settle this market. Traders who correctly predicted the second-half winner will receive a payout based on the final market price at resolution. It’s important to monitor the game’s progress leading up to the final score to understand potential shifts in probabilities.
Several factors could influence the price of this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected performance in the first half of the game will likely have a significant impact, as will any in-game momentum swings. Major upsets in other games involving these teams could also indirectly affect the market. Additionally, large volume trades from informed participants could cause noticeable price movements, so keeping an eye on the Kalshi trading activity is crucial.