TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 6:21 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in an upcoming college football game. Each market has a different threshold, allowing participants to speculate on whether the combined score will exceed various point totals.
These markets resolve based on the total points scored by both teams in the Indiana St. vs South Dakota college football game scheduled for Oct 3, 2026. For any market, if the combined score exceeds the specified threshold (e.g., Over 40.5 points, Over 44.5 points, etc.), it resolves to Yes; otherwise, it resolves to No. If the game is postponed but starts within 48 hours of the original time, the result is based on the final score of the actually played game. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of when or if the game is ultimately played.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set lines to balance their action and incorporate a profit margin, while this market is driven purely by traders' beliefs about the outcome. It's common to see discrepancies, particularly before significant events or when new information emerges. Often, prediction markets are more accurate than traditional forecasts, as they aggregate diverse perspectives and incentivize informed participation. However, sportsbook odds are readily available and provide a useful benchmark for comparison.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different total points for the Indiana St. vs South Dakota game. The price of each contract fluctuates based on supply and demand, reflecting traders’ expectations. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders believe the total points will be higher, the price of contracts representing higher totals increases, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real-time, providing a forward-looking assessment of the likely outcome.
This market resolves around Oct 3, 2026, with the outcome confirmed once the final score of the Indiana St. vs South Dakota game is verifiable from credible public reporting. The total points scored by both teams will be used to determine which contracts pay out. The resolution will be based on the official game statistics as reported by a recognized sports data provider. Traders holding contracts corresponding to the actual total points will receive a payout, while those holding contracts with incorrect predictions will not.
Several factors could influence the price of contracts in this market. Any news regarding injuries to key players on either the Indiana St. or South Dakota teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to high or low scoring, could also impact trading activity. Additionally, late-breaking news about team strategies or coaching decisions could shift traders’ expectations. Public sentiment, as reflected in social media or expert analysis, might also play a role, though the market primarily responds to informed trading.