TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
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Sports
Alabama vs LSU: Team Total
🌟New
kalshi

What is the result of Alabama vs LSU?

Nov 1, 2026, 6:10 PM EST - Nov 7, 2026, 6:30 PM EST
Total volume:
$39
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$39
0%

Alabama over 20.5 points

 - Kalshi

Alabama over 20.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:23h:48m

Alabama over 20.5 points scored

62%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 62¢ buys you 161 shares | Odds: 62% Total Payout: $161 | Net Profit: $61 Multiplier: 1.61x | ROI: 61% APY not meaningful 4 days to resolution
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alabama over 20.5 points

Trade
62%
Yes 62¢No 42¢
4¢
N/A
$39
0%
N/A
$39
4d 23h 48m
Active
kalshi

LSU over 9.5 points

N/A
N/A
4¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 13.5 points

N/A
N/A
7¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 16.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 19.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 20.5 points

N/A
N/A
4¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 23.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 27.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 29.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 30.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 34.5 points

N/A
N/A
7¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 37.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 41.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 45.5 points

N/A
N/A
7¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

LSU over 48.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 9.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 13.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 16.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 19.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 23.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 27.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 30.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 34.5 points

N/A
N/A
6¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
kalshi

Alabama over 37.5 points

N/A
N/A
5¢
N/A
N/A
N/A
N/A
N/A
4d 23h 48m
Active
Total markets: 24

Description

This set of markets tracks how many points each team scores in an upcoming college football game. Each market corresponds to a specific point threshold for a team, determining whether they exceed that threshold during the game.

Kalshi

The markets resolve based on whether the specified team scores over the designated point threshold in the Alabama vs LSU college football game scheduled for November 7, 2026. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the final result. If the game does not start within 48 hours of the scheduled time, the markets resolve to a fair price. All markets are independent and evaluated solely on the total points scored by the respective team relative to their individual thresholds.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to express their own beliefs about the likely outcome. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Often, prediction markets are more accurate than traditional polls or analysts’ predictions, as they incentivize participants to be well-informed and make rational assessments.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing different team total outcomes, and the price of each contract reflects the probability of that outcome occurring. As more traders buy a contract, its price increases, indicating a higher perceived probability. Conversely, selling pressure lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform’s mechanism ensures that prices are constantly adjusting to reflect the latest information and collective intelligence of the market participants, creating a dynamic and efficient pricing system.

This market resolves around Nov 7, 2026, with the outcome confirmed once the final team totals for both Alabama and LSU are verifiable from credible public reporting. The resolution will be based on the official scores reported by the governing body of the game. The market will determine which team exceeded or fell short of their respective point totals as defined by the contracts available for trading on Kalshi. Traders who correctly predicted the team totals will receive a payout based on the contract’s final price.

Several factors could influence the price movement of this market. Any news regarding key player injuries for either Alabama or LSU would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is expected during the game, could also shift expectations. Late-breaking news about coaching strategies or team morale could also move the market. Finally, as the game approaches, public betting patterns and analysis from sports commentators may influence trader behavior and cause price fluctuations.