TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Alabama vs Mississippi St.: 2nd Quarter Winner
kalshi

What is the result of Alabama vs Mississippi St.?

Volume:
$43,103

Alabama

 - Kalshi

Alabama - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 1:56 PM EST

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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

Alabama

View
100%
Yes 100¢No 0¢
—
N/A
$31,070
N/A
N/A
$19,725
Settled
Yes
kalshi

Mississippi St.

0%
Yes 0¢No 100¢
—
N/A
$8,074
N/A
N/A
$5,703
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$3,959
N/A
N/A
$2,953
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of an upcoming college football game between Alabama and Mississippi State. The outcome depends solely on the performance during the second quarter, regardless of the overall game result.

Kalshi

If Mississippi St. wins the 2nd quarter of the Alabama vs Mississippi St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Alabama wins the 2nd quarter of the Alabama vs Mississippi St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Alabama vs Mississippi St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Alabama vs Mississippi State 2nd quarter market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of each outcome fluctuates in real-time. Currently, the 24-hour volume is $39,782 and the total volume traded is $43,103. This allows you to gauge market interest and potential shifts in sentiment before the event concludes. The dashboard provides a dynamic view of where traders are placing their bets on who will win the 2nd quarter.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, but may also incorporate biases or seek to profit from public perception. This market, like others, can sometimes diverge from sportsbook lines as new information emerges or public sentiment shifts. It's common to see discrepancies, especially before a significant event, as traders weigh various factors and express their beliefs through their trades.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, which team will win the 2nd quarter. The price of each contract reflects the market’s implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the evolving consensus. Higher demand for a particular outcome drives its price up, while increased selling pressure lowers it. This dynamic pricing mechanism allows the market to efficiently aggregate information and produce a forecast.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 2nd quarter of the Alabama vs Mississippi State football game will be declared the winner of this market. The resolution will be based on official game statistics and results, ensuring a transparent and verifiable process. Traders should monitor official sources for the final score and confirmation of the winning team to understand the market’s settlement.

Several factors could influence trading activity in this market. News regarding player injuries, changes in coaching strategies, or even weather conditions could all impact the perceived probabilities of each team winning the 2nd quarter. Unexpected announcements about team lineups or significant performance changes in earlier games could also drive price movements. Public sentiment, as reflected in social media and sports news, can also play a role, especially as the game approaches. Any information that alters the perceived likelihood of either team winning is likely to move this market.