TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 10:43 PM EST
Polymarket
This event group centers on the college football game between Central Oklahoma and Central Arkansas, scheduled for September 12th. The markets ask a simple question: which team will win? Resolution depends on the final outcome of the game, accounting for overtime, ties, postponements, and cancellations.
In the upcoming college football game between Central Oklahoma and Central Arkansas, scheduled for September 12 at 7:00PM ET: This market will resolve to "Central Oklahoma" if Central Oklahoma win the game. This market will resolve to "Central Arkansas" if Central Arkansas 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 Central Oklahoma and Central Arkansas, scheduled for September 12 at 7:00PM ET: This market will resolve to "Central Oklahoma" if Central Oklahoma win the game. This market will resolve to "Central Arkansas" if Central Arkansas 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 the college football matchup may differ between Polymarket and Predict 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 has its own user base, trading dynamics, and fee structures, all of which can influence price discovery. Furthermore, the volume traded on each platform can vary significantly, impacting price stability and responsiveness to new information. Differences in market design, such as liquidity provisions or trading limits, could also contribute to price discrepancies. It’s common to see slight variations, even when both platforms are tracking the same underlying event.