TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 5:15 PM EST
Polymarket
This group covers various markets related to the college football game between South Dakota and Youngstown State on September 26th. Markets include the outright winner, point spreads, and over/under total points scored. The markets are designed to resolve based on the final game results.
In the upcoming college football game between South Dakota and Youngstown State, scheduled for September 26 at 2:00PM ET: This market will resolve to "South Dakota" if South Dakota win the game. This market will resolve to "Youngstown State" if Youngstown State 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 South Dakota and Youngstown State, scheduled for September 26 at 2:00PM ET: This market will resolve to "South Dakota" if South Dakota win the game. This market will resolve to "Youngstown State" if Youngstown State 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, like those found on Polymarket and Predict, often reflect the collective wisdom of a diverse group of participants, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals wagering their own capital. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. This market provides an alternative view, aggregating insights from a wide range of informed traders, and can sometimes identify mispricings before they are reflected in conventional betting lines.
Prices on Polymarket and Predict for the South Dakota vs. Youngstown State game may differ due to several factors. 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. Each platform attracts a different user base with varying levels of expertise and information, leading to distinct market dynamics. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific market structures and fee schedules on Polymarket and Predict can influence trading behavior and, consequently, prices. These differences contribute to a fascinating comparison of how different prediction markets assess the same event.