TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 2:39 PM EST
Kalshi
This market focuses on predicting the outcome of a specific segment of a college football game between Boston College and SMU. It centers on which team will have a scoring advantage by a certain margin during the third quarter of play.
The markets resolve based on the point differential between Boston College and SMU exclusively during the third quarter of their college football game scheduled for October 3, 2026. Each market corresponds to a specific point threshold, with varying margins required for either team to win by. If SMU achieves a winning margin exceeding the specified threshold during the third quarter, the respective 'SMU wins by over X points' market resolves to Yes. Conversely, if Boston College secures a winning margin surpassing the threshold, the corresponding 'Boston College wins by over X points' market resolves to Yes. Only points scored in the third quarter count toward these outcomes. Should the game be postponed but commence within 48 hours of its original scheduled start time, all markets remain active and resolve according to the official third-quarter result. If the game fails to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential conditions outlined in individual markets.
Often, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on internal models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant discrepancy exists between the two, opportunities for arbitrage may arise, as traders attempt to profit from the difference. It’s common to see this market incorporate information and perspectives that aren’t immediately reflected in sportsbook lines, potentially leading to more accurate predictions.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the third quarter. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. As more traders buy contracts predicting a certain 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. This dynamic pricing mechanism allows the market to quickly adapt to new information and changing sentiment regarding the game's potential outcome, providing a forward-looking assessment of the third quarter’s spread.
This market resolves around Oct 3, 2026, with the outcome confirmed once the final point spread for the third quarter of the Boston College versus SMU game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a trusted sports data provider. The platform will then determine which contracts correspond to the actual result and settle those contracts accordingly. Traders holding winning contracts will receive a payout, while those with losing contracts will forfeit their stake.
Several factors could influence the price of this market before it resolves. News regarding injuries to key players on either the Boston College or SMU 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 the market. Unexpected announcements related to team strategy or coaching decisions might also cause price fluctuations. Finally, any large-volume trades on Kalshi could indicate informed activity and move the market accordingly.