TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:19h:25m
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This group covers the college football game between South Dakota State and Northern Iowa scheduled for November 7th. Markets exist on the winner of the game, the point spread, and the total points scored. Resolution depends on the official outcome of the game, including overtime.
In the upcoming college football game between South Dakota State and Northern Iowa, scheduled for November 7 at 2:00PM ET: This market will resolve to "South Dakota State" if South Dakota State win the game. This market will resolve to "Northern Iowa" if Northern Iowa win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
If Northern Iowa wins the South Dakota St. vs Northern Iowa college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes. If South Dakota St. wins the South Dakota St. vs Northern Iowa college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes.
In the upcoming college football game between South Dakota State and Northern Iowa, scheduled for November 7 at 2:00PM ET: This market will resolve to "South Dakota State" if South Dakota State win the game. This market will resolve to "Northern Iowa" if Northern Iowa win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals wagering their own capital, theoretically leading to more accurate probabilities. While sportsbooks are convenient, prediction markets can sometimes reveal insights missed by conventional oddsmakers, especially as new information emerges. Discrepancies can also arise due to differing market liquidity and participant expertise.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi can diverge for several reasons. Each platform attracts a different user base with varying levels of expertise and information. Trading fees and platform-specific rules also influence price discovery. Furthermore, the volume traded on each platform impacts price sensitivity; higher volume generally leads to tighter spreads. Currently, Polymarket currently favors Spread: Northern Iowa (-10.5) at 99.0%, while Kalshi leans toward South Dakota St. wins at 88.0%. These differences highlight the independent price discovery process occurring on each venue.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the South Dakota State vs. Northern Iowa game will be used to determine the winning outcome. Trading will cease prior to this date, allowing time for the result to be officially verified. The outcome will be determined based on the official game results as reported by a recognized sports data provider, ensuring a transparent and objective resolution process.
Several signals could significantly impact this market before it resolves around Nov 7, 2026. Any news regarding injuries to key players on either the South Dakota State or Northern Iowa teams would likely cause shifts in probabilities. Unexpected changes in coaching strategies or team dynamics could also influence trading activity. Furthermore, major upsets in other related games or broader college basketball news could affect overall market sentiment. Finally, large volume trades on either Polymarket or Kalshi could indicate informed action and trigger further price movements, ultimately impacting the outcome of this market.