TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 1:18 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in the first quarter of a college football game. Each market corresponds to a different threshold of points, allowing participants to speculate on whether the combined score will exceed specific values.
All markets resolve based on the total points scored by both teams combined during the first quarter of the Rutgers vs Maryland college football game scheduled for October 17, 2026. Each market has a unique threshold, ranging from 2.5 to 27.5 points, and resolves to 'Yes' if the combined score exceeds that threshold. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the official 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 threshold they have engaged with.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the opinions of many individual traders. Discrepancies can arise due to differing information, biases, or simply variations in how each side assesses the probability of an event. It's common to see prediction markets move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts leading up to the game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the outcome of the Rutgers vs Maryland 1st quarter. The price of a contract indicates the probability of that outcome occurring. As more traders buy contracts for a particular outcome, 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 incorporate new information and reflect the collective intelligence of the traders participating. The current volume indicates the level of interest in this particular event.
This market resolves around Oct 17, 2026, with the outcome confirmed once the final score of the first quarter of the Rutgers vs Maryland game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a trusted sports data source. The market will settle to 100 if the total score in the first quarter is over the specified number, and to 0 if it is under. Traders holding contracts on the correct outcome will receive a payout based on the final market price at resolution.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Rutgers or Maryland teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game's scoring, could also move the market. Public sentiment, as reflected in betting trends and social media discussions, can also play a role. Finally, any late-breaking news or unexpected developments related to the game itself could cause the market to shift as traders adjust their predictions.