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%

BETA
Dashboards
Tour
All
Sports
Bryant vs Maine: 1st Half Winner
kalshi

What is the result of Bryant vs Maine?

Volume:
$2,010

Bryant

 - Kalshi

Bryant - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 4:37 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

Bryant

View
100%
Yes 100¢No 0¢
—
N/A
$1,152
N/A
N/A
$1,152
Settled
Yes
kalshi

Maine

0%
Yes 0¢No 100¢
—
N/A
$438
N/A
N/A
$438
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$420
N/A
N/A
$420
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first half of a college football game between Bryant and Maine. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends on which team has the higher score at halftime.

Kalshi

If Maine wins the 1st half of the Bryant vs Maine college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Bryant wins the 1st half of the Bryant vs Maine college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Bryant vs Maine college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Bryant vs Maine 1st half market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of each outcome changes over time as traders buy and sell contracts. Currently, the 24-hour volume is $2,010, and the total volume traded is $2,010. This allows you to gauge market interest and potential shifts in expectations. The dashboard provides a visual representation of market activity, helping you understand how others are assessing the likelihood of each team winning the first half.

Generally, prediction market odds tend to reflect a more accurate forecast than traditional sportsbook odds, as they aggregate the wisdom of the crowd. Sportsbooks often incorporate a 'vig' or commission into their odds, which slightly skews the probabilities. This market, like others, allows traders to express their beliefs without that built-in margin. However, sportsbook odds can still provide a useful benchmark for comparison, and significant discrepancies may present opportunities for informed traders. It's important to consider that both sources have their own strengths and weaknesses when evaluating the potential outcome of this event.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Bryant winning the first half or Maine winning the first half. The price of each contract reflects the market’s current assessment of that outcome’s probability. 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 collective intelligence of the crowd. The closer we get to the event, the more the price will likely converge towards either 100 (for a highly probable outcome) or 0 (for a very unlikely outcome).

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by which team has the higher score at the end of the first half of the Bryant vs Maine game. Official game statistics will be used to verify the winner. Traders holding contracts on the winning team will receive a payout of 100, while those holding contracts on the losing team will receive 0. The resolution process is designed to be transparent and based on objective data.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in team lineups, or significant performance updates for either Bryant or Maine could shift trader sentiment. Unexpected weather conditions that might affect the game’s style or pace could also play a role. Furthermore, general news and analysis surrounding college basketball, or even shifts in public perception based on pre-game commentary, could all contribute to changes in the market. Monitoring these signals will be key to understanding potential price fluctuations in this market.