TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Stony Brook vs New Hampshire: 1st Half Winner
kalshi

Stony Brook vs New Hampshire: 1st Half Winner

Oct 31, 2026, 3:22 PM EST - Nov 14, 2026, 4:00 PM EST
Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$0N/A

New Hampshire

 - Kalshi

New Hampshire - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 14, 2026

Time left: 12d:00h:07m

New Hampshire wins the 1st half

89%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 89¢ buys you 112 shares | Odds: 0% Total Payout: $112 | Net Profit: $12 Multiplier: 1.12x | ROI: 12% High Projected APY: 3,354% 12 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

New Hampshire

Trade
N/A
N/A
85¢
N/A
N/A
N/A
N/A
N/A
1w 5d
Active
kalshi

Stony Brook

N/A
N/A
90¢
N/A
N/A
N/A
N/A
N/A
1w 5d
Active
kalshi

Tie

N/A
N/A
82¢
N/A
N/A
N/A
N/A
N/A
1w 5d
Active
Total markets: 3

Description

This market tracks which team will lead after the first half of a college football game between Stony Brook and New Hampshire. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends exclusively on who holds the points advantage at halftime.

Kalshi

If New Hampshire wins the 1st half of the Stony Brook vs New Hampshire college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Stony Brook wins the 1st half of the Stony Brook vs New Hampshire college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Stony Brook vs New Hampshire college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Stony Brook vs New Hampshire game tracks the current odds for each team to win the first half, along with the total trading volume of $0 and 24-hour volume of $0. You can view the price history to see how the market has moved over time and identify potential trends. The dashboard also displays the top outcome currently favored by traders. This information allows users to understand market sentiment and make informed predictions about which team will lead at halftime.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust probabilities based on their own analysis and information. If a significant difference emerges between this market and sportsbook lines, it could indicate disagreement about the true probability of an outcome. However, it's important to remember that both represent probabilities, and neither is guaranteed to be perfectly accurate.

This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Stony Brook vs New Hampshire game will be declared the winner. Resolution will be based on official game statistics and results, ensuring an objective and transparent determination of the outcome. Traders will then be able to claim their winnings or adjust their strategies for future markets.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected performance in other games leading up to the Stony Brook vs New Hampshire game might also impact perceptions of team strength. Furthermore, large trading volume from informed participants could signal new information or a change in market expectations, causing the odds to adjust rapidly. Monitoring these signals is key to understanding potential shifts in this market.