TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 11:31 PM EST
Polymarket
This group covers various markets related to the Notre Dame vs. BYU college football game on October 17th. Markets include the game winner, point spreads, over/under totals, and various statistical outcomes like touchdowns and passing yards.
In the upcoming college football game between Notre Dame and BYU, scheduled for October 17 at 7:30PM ET: This market will resolve to "Notre Dame" if Notre Dame win the game. This market will resolve to "BYU" if BYU 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 Notre Dame and BYU, scheduled for October 17 at 7:30PM ET: This market will resolve to "Notre Dame" if Notre Dame win the game. This market will resolve to "BYU" if BYU 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.
Prediction market odds often reflect a wisdom-of-the-crowd perspective, potentially differing from traditional sportsbook lines. Sportsbooks set odds based on their own models and to balance action, while this market relies on the collective intelligence of traders. This can lead to discrepancies, especially when public sentiment diverges from expert analysis. While sportsbooks may initially set lines based on team statistics, this market can quickly incorporate new information, such as injuries or weather forecasts, impacting the probabilities. It's a fascinating comparison to observe how these two approaches to forecasting the Notre Dame vs. BYU game align or diverge.
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. Prices for the Notre Dame vs. BYU game may differ between Polymarket and Predict due to variations in user base, trading activity, and perceived information advantages. Each platform attracts different types of traders with unique insights, leading to differing probabilities. Furthermore, the liquidity and volume on each platform can influence price discovery, as larger trading volumes tend to result in more stable and efficient prices. These factors contribute to a dynamic market where prices reflect the collective wisdom of each platform’s participants, and can lead to temporary discrepancies in the odds.