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, 11:00 PM EST
Kalshi
This set of markets tracks how many rushing touchdowns each team scores in an upcoming college football game. It focuses specifically on touchdowns gained by running with the ball, excluding those from recoveries or special plays. Outcomes depend solely on the official game statistics, regardless of when the game is played.
These markets resolve based on the total number of rushing touchdowns scored by either Iowa or Iowa State in their college football game scheduled for September 12, 2026. A rushing touchdown is defined as a touchdown where the player scores by running with the ball into the end zone, including those occurring in overtime. Touchdowns scored by another player after recovering a fumble by the original ball carrier do not count, unless the player recovers their own fumble and scores. Successful two-point conversions, including those in overtime, are excluded from all counts. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the final official result. If the game fails to start within this 48-hour window, markets resolve to a fair price. Kalshi explicitly states it holds no affiliation with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies between the two, especially as new information emerges or public sentiment shifts. While sportsbooks may initially be influenced by expert analysis, this market can quickly incorporate a broader range of opinions and react to real-time developments, potentially leading to more accurate predictions.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract indicates the probability of that outcome occurring, as perceived by the market participants. As more traders buy contracts for a specific outcome, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly adjust to new information and reflect the collective intelligence of the traders. The current price reflects the aggregated expectations for the number of rushing touchdowns in the Iowa State vs Iowa game.
Several factors could influence the price of contracts in this market. Any news regarding injuries to key running backs on either team would likely have a significant impact. Changes in weather conditions, such as heavy rain or snow, could also affect the rushing game and shift expectations. Unexpected coaching decisions or strategic adjustments could also play a role. Furthermore, pre-game analysis from sports analysts and updated team statistics could all contribute to price movements as traders react to new information and refine their predictions.