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Houston vs Jacksonville: Winning Margin
kalshi

What is the result of Houston vs Jacksonville?

Volume:
$43,576

Houston by 1 to 6

 - Kalshi

Houston by 1 to 6 - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:51 PM EST

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

Houston by 1 to 6

View
100%
81%
Yes 100¢No 0¢
—
N/A
$7,458
N/A
N/A
$6,266
Settled
Yes
kalshi

Jacksonville by 1 to 6

View
0%
21%
Yes 0¢No 100¢
—
N/A
$10,848
N/A
N/A
$9,064
Settled
No
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$6,172
N/A
N/A
$5,395
Settled
No
kalshi

Houston by 15 or more

View
0%
Yes 0¢No 100¢
—
N/A
$5,700
N/A
N/A
$4,829
Settled
No
kalshi

Jacksonville by 7 to 14

View
0%
21%
Yes 0¢No 100¢
—
N/A
$5,412
N/A
N/A
$4,771
Settled
No
kalshi

Houston by 7 to 14

View
0%
15%
Yes 0¢No 100¢
—
N/A
$4,906
N/A
N/A
$4,081
Settled
No
kalshi

Jacksonville by 15 or more

View
0%
16%
Yes 0¢No 100¢
—
N/A
$3,080
N/A
N/A
$2,580
Settled
No
Total markets: 7

Description

This set of markets tracks the expected point differential in an upcoming professional football game between Houston and Jacksonville. Each market corresponds to a specific range of points by which either team could win, offering a granular view of potential game outcomes. The resolution depends entirely on the final score of the game, including any overtime periods.

Kalshi

The markets resolve based on the point differential between Houston and Jacksonville in their full game, including overtime, scheduled for October 18, 2026. A 'Yes' outcome occurs if the winning team's point advantage falls within the specified range for that market: exactly 0 points, 1-6 points, 7-14 points, or 15+ points. Each market is mutually exclusive for its defined range and team perspective (Jacksonville or Houston), with the winning team's margin determining which, if any, market settles as 'Yes'. All markets share identical secondary disclaimers regarding Kalshi's lack of official affiliation with the governing league and the ownership of trademarks and logos by respective rights holders.

Frequently asked questions

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows participants to freely express their beliefs about the likely winning margin. Historically, prediction markets have demonstrated accuracy in forecasting event outcomes, sometimes outperforming traditional methods. It's common to see discrepancies, especially before significant events or breaking news, as this market incorporates new information quickly.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different winning margins. The price of each contract reflects the probability of that margin 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, the prices converge to represent a collective forecast. Traders are incentivized to provide accurate assessments, as profitable trades depend on correctly predicting the final outcome. This dynamic pricing mechanism allows the market to react rapidly to new information and adjust probabilities accordingly.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning margin will be determined by the official final score reported by the NFL. Any adjustments or official rulings made by the league will be considered in determining the final result. Traders will be able to see the confirmed outcome on Kalshi following the conclusion of the game and official score confirmation, allowing for settlement of their contracts.

Several factors could significantly impact this market. Any news regarding injuries to key players on either the Houston or Jacksonville teams would likely cause shifts in the odds. Changes in weather forecasts, particularly if they suggest adverse conditions, could also influence the perceived winning margin. Unexpected coaching decisions or strategic adjustments announced before the game could also move the market. Finally, any significant public sentiment shifts, perhaps driven by expert analysis or widespread betting patterns, could also affect trading activity in this market.