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%

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Fordham vs Bucknell: 1st Half Winner
kalshi

What is the result of Fordham vs Bucknell?

Oct 24, 2026, 3:25 PM EST - Nov 7, 2026, 4:00 PM EST
Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$0N/A

Bucknell

 - Kalshi

Bucknell - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:18h:32m

Bucknell 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% 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

Bucknell

Trade
N/A
N/A
85¢
N/A
N/A
N/A
N/A
N/A
4d 18h 32m
Active
kalshi

Fordham

N/A
N/A
90¢
N/A
N/A
N/A
N/A
N/A
4d 18h 32m
Active
kalshi

Tie

N/A
N/A
73¢
N/A
N/A
N/A
N/A
N/A
4d 18h 32m
Active
Total markets: 3

Description

This market tracks which team will lead after the first half of a college football game between Fordham and Bucknell. 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 advantage at halftime.

Kalshi

The market resolves based on which team is leading at the end of the first half of the Fordham vs Bucknell college football game scheduled for November 7, 2026. If either Fordham or Bucknell holds the lead after the first half, the respective market for that team will resolve to Yes. If the teams are tied at halftime, the market labeled "Tie" will resolve to Yes. Postponements that commence within 48 hours of the original start time will be treated as the same event, with resolution based on the actual first-half result when play begins. If the game fails to start within the 48-hour window, the market will resolve to a fair price, ensuring equitable treatment for all participants under unforeseen scheduling disruptions.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven purely by individuals willing to put their capital behind their beliefs. Historically, prediction markets have demonstrated accuracy in forecasting event outcomes, sometimes outperforming traditional methods. It's important to compare the implied probabilities from both sources to identify potential discrepancies and inform your own analysis.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Fordham or Bucknell winning the first half. The price of a contract reflects the market's current assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, or the number of contracts available at different price points, indicates the strength of conviction among traders.

This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Fordham vs Bucknell basketball game will determine the winning contract. The official score at halftime, as reported by a trusted sports data source, will be used to verify the result. Traders holding the winning contract will receive a payout equivalent to the final market price of that contract at resolution.

Several factors could influence trading activity in this market. News regarding player injuries or suspensions for either Fordham or Bucknell would likely cause significant shifts in the odds. Unexpected changes in team lineups, coaching strategies, or even weather conditions could also impact trader sentiment. Furthermore, any public statements from analysts or experts offering strong opinions on the game's likely outcome could sway the market. Monitoring these signals and assessing their potential impact is crucial for informed trading.