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%

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Houston Christian vs Stephen F. Austin
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What is the result of Houston Christian vs Stephen F. Austin?

Volume:
$80,324

Stephen F. Austin

 - Kalshi

Stephen F. Austin - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 6:10 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Stephen F. Austin

View
100%
Yes 100¢No 0¢
—
N/A
$14,747
N/A
N/A
$12,397
Settled
Yes
kalshi

Houston Christian

0%
7%
Yes 0¢No 100¢
—
N/A
$65,577
N/A
N/A
$47,370
Settled
No
Total markets: 2

Description

Houston Christian takes on Stephen F. Austin in a college football game where both teams are determined to come out on top. The match will draw attention from fans and sports commentators.

Kalshi

The market resolves to Yes if the specified team wins the game. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Houston Christian vs Stephen F. Austin game tracks the current odds, price history, and 24-hour trading volume. You can see how the perceived probability of different outcomes changes over time, reflected in the price fluctuations. Currently, the total volume for this market is $80,308, with $69,199 traded in the last 24 hours. This provides a clear view of market activity and how traders are positioning themselves ahead of the event. The dashboard is a central hub for monitoring the market's pulse.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd versus the assessments of professional oddsmakers. Sportsbooks typically set lines to balance action and ensure profit, while this market allows traders to express their own beliefs about the outcome. These differences can arise from varying information sources, biases, and risk appetites. It's common to see prediction markets move more quickly to incorporate new information, potentially offering a more accurate forecast than traditional odds. Examining both can provide a more comprehensive view of expectations.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's collective probability of that outcome occurring. As more traders participate, the prices adjust to reflect the latest information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing allows for a real-time assessment of expectations, and the market efficiently incorporates new data as it becomes available, making it a valuable tool for forecasting the result of the Houston Christian vs Stephen F. Austin game.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Houston Christian vs Stephen F. Austin game, as reported by a widely recognized sports data source. Traders holding contracts corresponding to the winning outcome will be paid out according to the final market price at resolution. It’s important to monitor the event closely as the resolution date approaches to understand how the market is interpreting the latest developments.

Several factors could influence this market before its resolution. Any news regarding injuries to key players on either the Houston Christian or Stephen F. Austin teams would likely have a significant impact. Changes in coaching strategies, weather forecasts for the game location, or even unexpected team performance in preceding games could all shift trader sentiment. Public perception, as reflected in polls or expert analyses, might also play a role, though this market is driven by individual trader decisions. Monitoring these signals can help you understand potential price movements.