TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 6:04 PM EST
Kalshi
This set of markets tracks how many touchdowns are scored by players catching passes during an upcoming college football game. It focuses specifically on offensive performance through the pass, ignoring other ways players might score. The outcomes depend entirely on the game's offensive statistics, particularly how effectively each team uses its receiving corps to cross the goal line.
All markets resolve based on the total number of receiving touchdowns scored by either Ohio State or Iowa in their game scheduled for October 3, 2026, including any overtime periods. A receiving touchdown is defined as a touchdown scored by a player who catches a forward pass from their team's offensive lineman or quarterback during normal play or overtime. Touchdowns resulting from fumble recoveries by another player—even if the original receiver fumbled—do not count, unless the receiving player recovers their own fumble and subsequently scores. Successful two-point conversions, whether in regulation or overtime, are explicitly excluded from all counts. If the game is postponed but commences within 48 hours of its original scheduled kickoff time, all markets remain active and resolve according to the final official result. If the game fails to start within this 48-hour window, all markets will instead resolve to a fair price, reflecting the inability to obtain an official result within the defined timeframe. These rules apply uniformly across all outcome thresholds (2+, 3+, and 4+ for Ohio State; 2+ and 3+ for Iowa).
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set lines to balance betting action and incorporate a profit margin, while this market is driven by individuals expressing their genuine beliefs about the likelihood of each outcome. If sportsbooks heavily favor one team, you might see a different probability distribution in this market, especially if there’s disagreement among informed bettors. Discrepancies can arise due to differing information sources, analytical approaches, or simply varying levels of confidence in a particular result.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of each contract directly corresponds to the implied probability of that outcome occurring. As more traders buy contracts for a specific outcome, its price increases, signaling a higher perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts as new information and opinions are incorporated by participants, creating a real-time assessment of the event's potential results. The current market reflects the collective judgment of those actively trading.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on which teams score touchdowns during the Ohio State vs Iowa football game. The final score and touchdown details will be sourced from official game statistics and verified by reliable sports news outlets. The market will then settle to 100 for the outcome that occurred, and 0 for all other outcomes. Traders holding contracts on the winning outcome will receive a payout.
Several factors could influence this market leading up to the game. Any news regarding key player injuries for either Ohio State or Iowa would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift expectations. Furthermore, updates on team strategies or coaching decisions, as well as any late-breaking news about team morale or internal conflicts, could all contribute to price movements. Public sentiment and analysis from sports commentators could also play a role, influencing trader behavior and ultimately affecting the probabilities reflected in this market.