TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 7:32 PM EST
Polymarket
This group centers on the college football game between UNLV and North Texas, offering markets on the game's outcome, point spread, total points scored, and UNLV/North Texas rushing touchdowns. Markets cover both pre-game predictions and in-game performance metrics. The game is scheduled for September 12th.
In the upcoming college football game between UNLV and North Texas, scheduled for September 12 at 3:45PM ET: This market will resolve to "UNLV" if UNLV win the game. This market will resolve to "North Texas" if North Texas 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.
If at least 1 overtime period is played in the UNLV vs North Texas college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.
In the upcoming college football game between UNLV and North Texas, scheduled for September 12 at 3:45PM ET: This market will resolve to "UNLV" if UNLV win the game. This market will resolve to "North Texas" if North Texas 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 Kalshi, often reflect the wisdom of the crowd, potentially offering a more accurate forecast than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, allows anyone to trade on their beliefs, leading to prices driven by collective intelligence. While sportsbooks may initially have different odds, they often adjust closer to prediction market prices as more information becomes available. Comparing these odds can reveal where public opinion diverges from professional analysis, providing valuable insights.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. On Polymarket and Kalshi, differing prices arise from several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading mechanisms and fee structures also play a role; Polymarket might have higher liquidity for certain outcomes, influencing its price, while Kalshi may attract more specialized traders. Furthermore, the way information is disseminated and interpreted within each community can lead to diverging opinions. Currently, Polymarket currently favors a spread of UNLV (-6.5) at 98%, while Kalshi leans toward 1+ overtime periods, demonstrating these differences in assessment.