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$134.1b

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$141,541,542

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2,388,728,490

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$1,440,096,988

406,065

Markets across

30,522

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MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

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61%

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San Diego vs. St. Thomas
polymarket
kalshi

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

Volume:
$123,301

St. Thomas

 - Kalshi

St. Thomas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 5:20 PM 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

St. Thomas

View
100%
37%
Yes 100¢No 0¢
100¢
N/A
$90,431
N/A
N/A
$66,529
Settled
Yes
polymarket

O/U 57.5

View
100%
51%
Yes 100¢No 0¢
0.1¢
N/A
$1,600
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 61.5

View
100%
57%
Yes 100¢No 0¢
2.9¢
N/A
$52
N/A
N/A
N/A
Settled
Yes
kalshi

San Diego

View
0%
Yes 0¢No 100¢
100¢
N/A
$29,711
N/A
N/A
$22,334
Settled
No
polymarket

San Diego vs. St. Thomas

View
0%
37%
Yes 0¢No 100¢
—
N/A
$1,508
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -14.5

View
0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

View
0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
0%
29%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

View
0%
41%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
0%
37%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -1.5

View
0%
74%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -1.5

View
100%
33%
Yes 100¢No 0¢
6¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
100%
48%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

View
100%
52%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
100%
43%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

View
100%
45%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -14.5

View
100%
39%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 49.5

View
100%
17%
Yes 100¢No 0¢
0.7¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 51.5

View
100%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 53.5

View
100%
40%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 55.5

View
100%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 59.5

View
100%
53%
Yes 100¢No 0¢
19¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

2H Moneyline

View
0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 23

Description

This group covers markets related to a college football game between San Diego and St. Thomas scheduled for September 26th. Markets include predicting the winner, point spreads, and the over/under total points scored.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket offers a variety of markets (winner, spread, over/under) with detailed resolution rules, while Kalshi only offers a market that resolves if either team wins.Hero tip: Focus on the specific market you are trading and understand the resolution rules for each platform. Kalshi's market is a simple 'game happens' bet.

Critical divergence points:

  • Polymarket: Offers multiple markets (winner, spread, over/under) with specific resolution criteria for each. Resolves based on the final game result, including overtime. Tie games resolve 50-50, and canceled games resolve 50-50.
  • Kalshi: Resolves to 'Yes' if either San Diego or St. Thomas wins the game. This is a simple win/loss market, regardless of margin of victory.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

In the upcoming college football game between San Diego and St. Thomas, scheduled for September 26 at 2:00PM ET: This market will resolve to "San Diego" if San Diego win the game. This market will resolve to "St. Thomas" if St. Thomas win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Kalshi

The market resolves to Yes if the specified team wins the college football game originally scheduled for September 26, 2026. Should the game be postponed but start within 48 hours of the original scheduled time, the market remains open and resolves based on the official final result. If the game is cancelled or fails to start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi holds no affiliation with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

Prediction market odds, like those found on Polymarket and Kalshi, often reflect a more nuanced view than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while prediction markets are driven purely by participants’ beliefs. This can lead to differences, especially when public opinion diverges from expert analysis. While sportsbooks may initially set odds based on team statistics, this market incorporates a wider range of information and real-time adjustments as new data emerges. Both offer ways to assess the probability of various outcomes, but prediction markets can sometimes offer more accurate forecasts.

Prices on Polymarket and Kalshi can diverge due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading rules, and liquidity, which can influence price discovery. For example, different risk appetites among traders on each platform could lead to varying valuations. Additionally, the specific contract types offered – such as spreads or outright winners – may differ, impacting how traders express their views on the San Diego vs. St. Thomas game. Market makers and arbitrageurs attempt to exploit these differences, but temporary price discrepancies can persist.