TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 2:31 PM EST
Kalshi
This market focuses on determining which team will score the most points in a specific quarter of a football game between Detroit and Indianapolis. It captures the competitive performance of both teams during a defined segment of play, highlighting short-term scoring dynamics rather than the overall game outcome.
If Indianapolis wins the 2nd Quarter of the Detroit vs Indianapolis Pro Football game originally scheduled for Aug 29, 2026, then the market resolves to Yes. If Detroit wins the 2nd Quarter of the Detroit vs Indianapolis Pro Football game originally scheduled for Aug 29, 2026, then the market resolves to Yes. If neither team wins the 2nd Quarter of the Detroit vs Indianapolis Pro Football game originally scheduled for Aug 29, 2026, then the market resolves to Yes.
On Kalshi, traders in the 2nd Quarter winner market price outcomes based on their expectations of how the game will unfold in that specific period. Sportsbook odds, set by professional oddsmakers, often reflect broader considerations such as team performance, historical data, and public betting trends. While both sources aim to predict the same outcome, prediction market odds can shift more rapidly with new information and trader sentiment. This difference means you might see varying levels of confidence between the two markets, especially as game dynamics evolve.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner is determined by official game results, specifically which team leads at the end of the second quarter, and the market will close accordingly.
Several signals could influence this market before Aug 29, 2026. Key performances by star players, injury updates, weather conditions, and strategic adjustments by coaches may shift trader sentiment. Additionally, any significant changes in team momentum or recent head-to-head matchups could cause fluctuations. Media coverage and expert analysis leading up to the game may also impact expectations, causing traders to adjust their positions based on new information or changing perceptions of likely outcomes.