TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Portland St. vs San Diego St.
kalshi

Portland St. vs San Diego St.

Volume:
$968,822

San Diego St.

 - Kalshi

San Diego St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 6, 2026

Closed: Sep 6, 1:14 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

San Diego St.

View
100%
Yes 100¢No 0¢
100¢
N/A
$56,030
N/A
N/A
$30,067
Settled
Yes
kalshi

Portland St.

0%
2%
Yes 0¢No 100¢
100¢
N/A
$912,792
N/A
N/A
$700,422
Settled
No
Total markets: 2

Intro

This market tracks whether San Diego State will win its college football game against Portland State. Currently, Kalshi gives San Diego State a 96.0% probability of winning, while Portland State is at 5.0%. The market resolves based on the outcome of the Portland St. vs San Diego St. college football game originally scheduled for Sep 5, 2026, as reported by the game’s official results. Keep an eye on the game itself, as the market will resolve to Yes if Portland State wins the game scheduled for September 5, 2026.

Kalshi

The market resolves to Yes if the named team wins the specified college football game. If the game is postponed but starts within 48 hours of the original time, the market stays open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On sportsbooks, the Portland St. vs San Diego St. matchup market often reflects broader public sentiment and betting trends, while prediction markets like Kalshi offer a more nuanced view shaped by trader activity and real-time information flow. Traders in this market may price in factors beyond simple win probabilities, such as injury reports or weather conditions, which can cause divergence from traditional sportsbook lines. The difference in pricing reflects how each market aggregates information—sportsbooks use curated models and adjusted odds, whereas prediction markets let participants bet directly on their interpretations of future outcomes.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders actively set the odds for this market through continuous trading, with the current top outcome reflecting the collective assessment of all participants. The probability displayed represents the inverse of the market price, updated instantly as new trades occur. Volume of $968,822 and 24-hour volume of $938,373 indicate liquidity and trader interest. This dynamic pricing mechanism allows rapid adjustments based on emerging news, analyst updates, or shifts in team performance leading up to Sep 6, 2026.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official game outcome, which is compared against the market’s defined contracts to close all positions.

Key signals that could shift probabilities in this market include injury reports for key players, changes in coaching strategies, or weather forecasts affecting game conditions. Performance metrics from recent matchups, player suspensions, or unexpected lineup changes may also influence trader sentiment. As Sep 6, 2026 approaches, any last-minute news—whether strategic realignments or motivational factors—could cause rapid adjustments in the market odds, reflecting updated expectations about which team is more likely to prevail.