TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 7:00 PM EST
Polymarket
This prediction market group covers a college football game between Kent State and Western Michigan, offering a wide range of markets including the game winner, point spreads, over/under totals for points scored, team totals, and various period-specific outcomes. There are also markets on individual player statistics and game events like touchdowns and field goals.
In the upcoming college football game between Kent State and Western Michigan, scheduled for October 10 at 3:30PM ET: This market will resolve to "Kent State" if Kent State win the game. This market will resolve to "Western Michigan" if Western Michigan 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.
All markets resolve based on the total points scored by both teams combined during the first half of the Kent St. vs Western Michigan college football game scheduled for October 10, 2026. Each market has a specific threshold (ranging from over 2.5 points to over 41.5 points); if the combined first-half score exceeds the threshold, the market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count toward resolution.
Prediction market odds, such as those found in this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and to balance action, while prediction markets allow anyone to trade on their beliefs. This can lead to discrepancies, especially when public sentiment strongly diverges from expert opinion. Both sources attempt to forecast the outcome of the Kent State vs. Western Michigan game, but they utilize different methodologies and are influenced by distinct participant motivations. Comparing the two can provide a more nuanced understanding of potential outcomes.