TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 7:24 PM EST
Kalshi
This event tracks whether the combined score of Eastern Michigan and Ohio in their college football game scheduled for October 24, 2026, exceeds various thresholds. Each threshold represents a different level of scoring intensity, allowing participants to assess the likelihood of high-scoring outcomes.
The event determines if the total points scored by both Eastern Michigan and Ohio in their college football game scheduled for October 24, 2026, exceed specified thresholds ranging from 29.5 to 71.5 points. For any threshold, if the combined score surpasses that threshold, the corresponding market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the final score. If the game does not start within 48 hours of the scheduled time, the market resolves to a fair price, ensuring equitable treatment for all participants under varying circumstances.
Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they do so through different mechanisms. Sportsbooks set odds based on their own analysis and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. Discrepancies can arise due to differing opinions, information advantages held by traders, or simply variations in how each venue assesses the probabilities. It’s common to see this market adjust rapidly to new information, potentially leading to differences compared to fixed sportsbook lines.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point totals for the Eastern Michigan vs Ohio game. The price of each contract indicates the probability of that specific total occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices will adjust to reflect the evolving expectations. This dynamic pricing mechanism allows for a real-time assessment of the likely total points scored.
Several factors could influence the trading activity in this market. Any news regarding injuries to key players on either the Eastern Michigan or Ohio teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable for high or low scoring, could also impact prices. Furthermore, late-breaking news about team strategies or coaching decisions might lead traders to reassess their predictions, resulting in shifts in the price of contracts representing different point totals. Public sentiment and betting trends can also play a role.