TOTAL VOLUME:

$154.1b

24H VOL:

$181,481,432

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,827,991,073

405,996

Markets across

40,551

events

MATCHED EVENTS:

4,368

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Penn vs Dartmouth: Spread
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What is the result of Penn vs Dartmouth?

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

Description

This set of markets tracks the margin of victory in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point differential threshold that determines the outcome.

Kalshi

All markets resolve based on the official point differential from the Penn vs Dartmouth college football game scheduled for October 3, 2026. If Dartmouth wins by exceeding the specified point margin defined in each market, that market resolves to Yes; otherwise, it resolves to No. Equivalent outcomes exist for Penn victories. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds.

Frequently asked questions

On Kalshi, the dashboard for the Penn vs Dartmouth spread tracks the current price of contracts representing different point spreads for the game. You’ll find a price history chart showing how the market has moved over time, as well as the 24-hour trading volume, currently at $51,440. Total volume for this market is $52,472. This allows traders to see how much activity there is and understand market sentiment regarding the likely outcome of the game against the spread. The dashboard provides a real-time view of where traders believe the line will ultimately settle.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks may incorporate factors like public perception or promotional considerations into their initial odds, while this market is driven purely by individuals willing to put their capital behind their beliefs. It’s common to see this market move independently of sportsbook lines as new information emerges or as betting action concentrates on specific outcomes. Over time, the two may converge, but discrepancies can present opportunities for informed traders.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point spreads for the Penn vs Dartmouth game. The price of each contract reflects the probability of that spread being the final result. Traders are incentivized to provide accurate predictions, as they profit if their contracts are held when the market resolves. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement is determined by supply and demand; if more traders believe Penn will cover a particular spread, the price of contracts representing that spread will increase, and vice versa.

This market resolves around Oct 3, 2026, with the outcome confirmed once the final point spread of the Penn vs Dartmouth game is verifiable from credible public reporting. The resolution will be based on the official result reported by the relevant sports authorities. Traders holding contracts on the correct spread will receive a payout of 100, while those holding contracts on incorrect spreads will forfeit their investment. This market provides a way to forecast the game’s result and profit from accurate predictions.

Several factors could influence the Penn vs Dartmouth spread market. News regarding key player injuries on either team would likely cause significant movement. Changes in coaching strategies or unexpected weather conditions could also impact trader sentiment. Major shifts in public opinion, reflected in polls or expert analyses, could also drive price fluctuations. Any information that alters the perceived probability of either team covering the spread has the potential to move this market, creating opportunities for traders to react and adjust their positions.