TOTAL VOLUME:
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2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
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VS.
Kalshi:
63%
Closed: Oct 11, 5:33 PM EST
Kalshi
This market focuses on the first team to reach 10 points in the Detroit vs Arizona Pro Football game. The contest hinges on early scoring efficiency and strategy from both sides.
If Arizona is the first to score 10 points in Detroit vs Arizona Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If Detroit is the first to score 10 points in Detroit vs Arizona Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If Neither team is the first to score 10 points in Detroit vs Arizona Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set lines to balance action and ensure profit, while this market allows traders to express their own probabilities. As more information becomes available – like preseason performance or early-season injuries – the odds here may converge or diverge from sportsbook offerings. It’s common to see prediction markets more accurately forecast outcomes, especially when a significant amount of volume is traded, as it incorporates a wider range of perspectives than a sportsbook’s initial assessment.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be determined by which team, Detroit or Arizona, reaches 10 points first during the specified game. The platform will verify the final score against official game statistics to determine the winning outcome. Traders holding contracts on the correct outcome will receive a payout, while those holding contracts on the incorrect outcome will not.
Several factors could significantly influence this market. Key player injuries on either team would likely cause a shift in probabilities. Unexpected changes in coaching strategies or team performance during the game itself could also lead to price fluctuations. Furthermore, any news regarding weather conditions that might affect the game – such as strong winds or heavy rain – could impact trader sentiment. Major upsets in other games that impact team morale or playoff positioning could also play a role in how this market evolves.