TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 2:53 PM EST
Kalshi
This prediction market asks participants to forecast which quarter of a Colts vs. Steelers NFL game will have the highest total points scored. The markets cover each of the four regulation quarters, as well as an 'Other' outcome for ties or no scores. Overtime points are excluded from consideration.
Highest scoring quarter markets for Colts vs. Steelers.
If Pittsburgh wins the 2nd Quarter of the IND Colts vs PIT Steelers Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If Indianapolis wins the 2nd Quarter of the IND Colts vs PIT Steelers Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If neither team wins the 2nd Quarter of the IND Colts vs PIT Steelers Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes.
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 for the Colts-Steelers scoring market can diverge due to several factors. Differences in user base, trading volume, and market-making activity all contribute to price discrepancies. Polymarket may attract a different type of trader than Kalshi, leading to varying risk assessments and predictions. Furthermore, the specific mechanisms for price discovery on each platform—order books versus automated market makers—can influence how quickly and to what extent prices react to new information. These factors create opportunities for arbitrage, but also explain why the odds on this market aren't always identical across both platforms.
Several factors could significantly impact this market before the game concludes. Any news regarding key player injuries for either the Colts or the Steelers would likely cause shifts in probabilities. Changes in weather forecasts, particularly if they suggest a high-scoring or low-scoring game, could also influence trading activity. In-game events, such as early touchdowns or turnovers, will undoubtedly lead to rapid price adjustments as traders react to the unfolding action. Unexpected coaching decisions or significant penalties could also move this market.