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%

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San Diego St. vs UCLA: 3rd Quarter Winner
kalshi

What is the result of San Diego St. vs UCLA?

Volume:
$11,433

UCLA wins 3rd Quarter

 - Kalshi

UCLA wins 3rd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 9:31 PM EST

kalshi

Kalshi

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

UCLA wins 3rd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,857
N/A
N/A
$1,370
Settled
Yes
kalshi

San Diego St. wins 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$8,749
N/A
N/A
$8,360
Settled
No
kalshi

Tie 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$827
N/A
N/A
$579
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the third quarter in an upcoming college football game between San Diego State and UCLA. It focuses solely on the scoring during that specific quarter, ignoring the overall game result. The outcome depends entirely on who scores more points in that period.

Kalshi

If UCLA wins the 3rd quarter of the San Diego St. vs UCLA college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If San Diego St. wins the 3rd quarter of the San Diego St. vs UCLA college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the San Diego St. vs UCLA college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Diego St vs UCLA 3rd quarter market displays the current price of each possible outcome, reflecting what traders are willing to pay for a 'yes' vote on that outcome. It also shows a price history chart, visualizing how the market has fluctuated over time. You can see the total volume traded in this market, currently at $11,433, and the 24-hour volume, which is $11,367. This provides a real-time view of trader sentiment regarding which team will win the third quarter.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often include a 'vig' or commission, influencing the implied probabilities. This market, driven by the collective wisdom of traders, aims to represent true probabilities, though discrepancies can occur. It’s common to see prediction markets more accurately reflect the likelihood of an event, especially as more information becomes available and trading volume increases. Comparing the implied probability from this market to sportsbook odds can reveal where public perception differs from expert analysis.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. 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 emerges, the prices adjust dynamically, providing a real-time assessment of expectations for the San Diego St vs UCLA 3rd quarter winner. The current market price is determined by the highest bid and lowest ask, creating a transparent and efficient pricing mechanism.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on which team, San Diego St. or UCLA, has the higher score at the end of the third quarter of the game. The official game results will be used to determine the winning outcome. Traders who correctly predicted the 3rd quarter winner will be paid out based on the final market price at resolution, while those who predicted incorrectly will forfeit their stake.

Several factors could influence trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift trader sentiment. Unexpected performance in the first or second quarter of the game will likely have a significant impact, as traders adjust their expectations based on the unfolding events. Public opinion, reflected in polls or expert analyses, could also contribute to price movements. A late surge in betting volume could also cause noticeable shifts in this market before Sep 13, 2026.