TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 4:15 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the second half of an upcoming college football game, specifically analyzing how much one team might outscore the other after halftime.
All markets resolve based solely on points scored during the second half (including overtime) of the designated Pittsburgh vs Miami (FL) college football game. Each market corresponds to a specific point threshold: if Miami wins the second half by exceeding the stated margin, the relevant 'Miami wins by over X points' market resolves to Yes, while all others resolve to No. Conversely, if Pittsburgh achieves the required margin, the appropriate 'Pittsburgh wins by over X points' market resolves to Yes. Should neither team meet their respective thresholds, all markets resolve to No. Postponements are permitted if the game commences within 48 hours of the original schedule; delays beyond this window result in all markets resolving at fair prices. Point differentials are calculated using official game statistics.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. If a significant discrepancy exists between this market and sportsbook odds, it might indicate that the crowd believes the sportsbook is mispricing the probability of a particular outcome. However, it’s important to remember that both represent probabilities and can be influenced by various factors.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the market’s assessment of the probability of that spread occurring. As more traders buy contracts for a particular spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, providing a real-time indication of expectations for the Pittsburgh vs Miami second half spread. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the second half of the Pittsburgh vs Miami game will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution will be based on official game statistics and data reported by trusted sports sources, ensuring a transparent and verifiable outcome for this market.
Several factors could influence the price of this market leading up to Oct 24, 2026. Any news regarding injuries to key players on either the Pittsburgh or Miami teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the passing or running game, could also shift expectations. Furthermore, any late-breaking news about team strategy or coaching decisions could move the market. Public sentiment and large trades on Kalshi itself can also contribute to price fluctuations.