TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 10:22 PM EST
Polymarket
This event group covers the college football game between Harvard and Brown on September 25th. Markets include predicting the winner, the margin of victory (spreads), the total points scored (over/under), and second-half performance. These markets allow users to speculate on various aspects of the game's outcome.
In the upcoming college football game between Harvard and Brown, scheduled for September 25 at 7:00PM ET: This market will resolve to "Harvard" if Harvard win the game. This market will resolve to "Brown" if Brown win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
In the upcoming college football game between Harvard and Brown, scheduled for September 25 at 7:00PM ET: This market will resolve to "Harvard" if Harvard win the game. This market will resolve to "Brown" if Brown win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prices for this market on Polymarket and Predict can diverge due to several factors. Each platform has its own user base, trading dynamics, and risk appetite, influencing how traders assess the likelihood of different outcomes. Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Furthermore, differences in market creation parameters, such as trading fees or liquidity provisions, can contribute to price discrepancies. The volume of trading on each platform also plays a role; higher volume generally leads to tighter spreads and more efficient price discovery. These factors create distinct market environments, resulting in differing probabilities for the Harvard vs. Brown game.