TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 28, 7:42 PM EST
Kalshi
This set of markets focuses on predicting the outcome of the first quarter in an upcoming professional football game between Houston and Carolina. Each market evaluates different point spreads to determine which team will have a decisive lead early in the game.
These markets assess various point-spread thresholds for determining which team leads after the first quarter of play in the Houston vs Carolina game scheduled for August 28, 2026. Each rule specifies a different margin of victory required for either Houston or Carolina to trigger a 'Yes' resolution. All markets exclusively consider points scored during the first quarter, with no impact from later quarters. The thresholds range from narrow advantages (e.g., winning by more than 2.5 points) to substantial leads (e.g., winning by more than 10.5 points), offering multiple layers of granularity for predicting early-game dominance. The markets are independent, meaning each evaluates its specific spread criterion without reference to others. Kalshi explicitly disclaims any official affiliation with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds in this market often reflect a more nuanced view of short-term team performance and momentum compared to traditional sportsbook lines, which may incorporate broader factors such as injuries and weather. While sportsbooks set a fixed spread, prediction markets allow traders to adjust positions dynamically based on evolving game conditions, potentially creating tighter or more volatile spreads.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the actual point differential at the end of the first quarter, which is then compared against the spread set in the market to decide which outcome is correct.
Injuries to key players, weather conditions affecting game pace, and strategic decisions by coaches in the early minutes can all shift trader sentiment and move this market. Additionally, strong pre-game analysis or commentary from sports journalists may influence expectations for Houston’s or Carolina’s first-quarter performance, causing rapid price adjustments as traders react.