TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 25, 9:09 PM EST
Kalshi
This market evaluates the run differential between the two teams, allowing bettors to predict whether one team will win by a margin exceeding specific thresholds. The spread can favor either Houston or Detroit depending on which team performs better.
The Houston vs Detroit game scheduled for June 25, 2026 at 6:40 PM EDT will be evaluated based on the final run differential. Detroit outcomes resolve to Yes if Detroit wins by more than the specified margin (3.5 runs, 2.5 runs, or 1.5 runs). Houston outcomes resolve to Yes if Houston wins by more than the specified margin (1.5 runs, 2.5 runs, or 3.5 runs). Resolution is determined by calculating the absolute difference between final team scores, with the winning team's margin compared against each threshold.
Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds reflect what traders collectively believe will happen, independent of traditional betting spreads. Comparing the two can reveal where public perception differs from professional oddsmakers, though both incorporate similar information about team strength, injuries, and recent performance.
This market resolves around Jun 26, 2026, once the game concludes and the final spread is verifiable from credible public sources. The outcome is determined by the official point differential between Houston and Detroit at the end of regulation. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. Resolution timing depends on game completion and official confirmation of the final score.
Key injury announcements, roster changes, or coaching decisions can shift trader sentiment significantly. Recent team performance, head-to-head matchup history, and home-field advantage all influence spread expectations. Weather conditions and venue factors may also impact how traders price the outcome. Breaking news about player availability or team momentum closer to game day often triggers sharp price moves, as does any unexpected development affecting either team's preparation or competitive readiness.