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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Howard vs Hampton: Spread
kalshi

What is the result of Howard vs Hampton?

Volume:
$19,717

Howard wins by over 7.5 points

 - Kalshi

Howard wins by over 7.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 6:50 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

Howard wins by over 7.5 points

View
100%
43%
Yes 100¢No 0¢
—
N/A
$2,837
N/A
N/A
$2,781
Settled
Yes
kalshi

Howard wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,206
N/A
N/A
$1,205
Settled
Yes
kalshi

Howard wins by over 11.5 points

100%
43%
Yes 100¢No 0¢
—
N/A
$987
N/A
N/A
$914
Settled
Yes
kalshi

Howard wins by over 27.5 points

0%
Yes 0¢No 100¢
—
N/A
$6,960
N/A
N/A
$6,948
Settled
No
kalshi

Howard wins by over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,371
N/A
N/A
$929
Settled
No
kalshi

Hampton wins by over 8.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,157
N/A
N/A
$1,157
Settled
No
kalshi

Hampton wins by over 1.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,020
N/A
N/A
$1,000
Settled
No
kalshi

Hampton wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$924
N/A
N/A
$924
Settled
No
kalshi

Hampton wins by over 12.5 points

0%
Yes 0¢No 100¢
—
N/A
$919
N/A
N/A
$919
Settled
No
kalshi

Howard wins by over 15.5 points

0%
Yes 0¢No 100¢
—
N/A
$785
N/A
N/A
$769
Settled
No
kalshi

Howard wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$749
N/A
N/A
$727
Settled
No
kalshi

Howard wins by over 31.5 points

0%
Yes 0¢No 100¢
—
N/A
$401
N/A
N/A
$401
Settled
No
kalshi

Hampton wins by over 16.5 points

0%
Yes 0¢No 100¢
—
N/A
$401
N/A
N/A
$401
Settled
No
Total markets: 13

Description

These markets track the potential margin of victory in an upcoming college football game, allowing participants to speculate on how decisively either team might win. The outcomes depend on the point differential at the end of the match, with various thresholds defining different levels of success for each team.

Kalshi

The markets resolve based on the point differential from the official result of the Howard vs Hampton college football game scheduled for October 3, 2026. If Howard wins by exceeding specific point margins—from 3.5 to 31.5 points—the corresponding 'Howard wins by over X points' markets resolve to Yes. Conversely, if Hampton wins by more than 1.5 to 16.5 points, the relevant 'Hampton wins by over Y points' markets resolve to Yes. Should the game be postponed but commence within 48 hours of the original start time, all markets remain active and resolve according to the final result. If the game does not start within this window, all markets settle at a fair price, reflecting the likelihood of each outcome based on available information up to that point. Kalshi explicitly disclaims any affiliation with the NCAA, and all team-related trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Howard vs Hampton spread tracks the current price of the spread, the 24-hour trading volume of $17,502, and the total volume traded to date of $19,717. You can also view a price history chart to see how the market has moved over time. This allows traders to analyze market sentiment and make informed decisions about buying or selling contracts related to the point spread for this game. The dashboard provides a real-time view of how people are predicting the outcome.

Generally, prediction markets like Kalshi often reflect information and insights different from those priced into traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the wisdom of the crowd. If a significant number of traders believe the sportsbook’s line is inaccurate, the price on Kalshi will diverge. It’s common to see discrepancies, especially after significant news or developments related to team performance or player injuries, as this market can react more quickly to new information than traditional bookmakers.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the final point spread between Howard and Hampton. The price of these contracts fluctuates based on supply and demand, with higher prices indicating a greater expectation that the spread will fall in favor of one team. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their contracts are held when the market resolves in their favor. This dynamic pricing mechanism aims to reflect the collective intelligence of the market participants.

This market resolves around Oct 3, 2026, with the outcome confirmed once the final point spread of the Howard vs Hampton game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body for college basketball, ensuring an objective and transparent determination of the winning side. Traders holding contracts on the correct spread will receive a payout, while those on the incorrect side will forfeit their stake. The final score will be the determining factor for this market.

Several factors could influence the price of this market before Oct 3, 2026. Key injuries to star players on either Howard or Hampton would likely cause significant movement, as would any major changes in team performance or coaching strategies. Unexpected news regarding player eligibility or off-court issues could also impact the market. Furthermore, public sentiment and analysis from sports commentators could shift the price based on perceived advantages or disadvantages for either team. Any substantial changes in these areas could lead to increased trading volume and price fluctuations.