TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 7:24 PM EST
Kalshi
This set of markets tracks how many touchdowns are scored by players catching passes during an upcoming college football game. The outcomes depend on whether specific teams reach certain thresholds of such scores throughout the match, including any extra-time periods.
If Michigan St. records 1+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Michigan St. records 2+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Michigan St. records 3+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Illinois records 2+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Illinois records 3+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Illinois records 4+ receiving touchdowns in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds due to varying information sources and incentives. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows individuals to trade based on their own beliefs. It's common to see initial discrepancies, but as more information becomes available and trading volume increases, the odds in this market tend to become highly informative and competitive with those offered by sportsbooks. These differences can present opportunities for informed traders.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market's collective belief about the likelihood of that outcome occurring. 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 adjust dynamically, providing a real-time assessment of expectations. The closer we get to the event, the more the prices will likely converge, reflecting the increasing certainty surrounding the outcome of the Illinois vs Michigan State game.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which teams score touchdowns during the Illinois vs Michigan State game. The final score and official game statistics will be used to determine which contracts pay out. Traders should monitor official sources for the game results to understand the resolution of this market and the resulting payouts. It’s important to note that the resolution process relies on publicly available and verifiable data.
Several factors could influence the trading activity in this market before Oct 10, 2026. News regarding key player injuries for either Illinois or Michigan State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Unexpected announcements about coaching strategies or team dynamics could also move the market. Finally, any significant shifts in public sentiment, as reflected in polls or expert analysis, could drive trading volume and alter the probabilities reflected in this market.