TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 1:46 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Rutgers or Northwestern in the first half of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the first half to resolve as 'Yes'.
All markets resolve based solely on points scored during the first half of the Rutgers vs Northwestern college football game scheduled for October 24, 2026. For markets where Northwestern wins by a specified margin, resolution occurs if Northwestern's first-half point differential exceeds that threshold. Conversely, markets specifying Rutgers' victory resolve if Rutgers' first-half point differential meets or exceeds the stated margin. 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 first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Typically, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while Kalshi allows traders to directly assess the probability of different outcomes. This can lead to discrepancies, as the 'wisdom of the crowd' on Kalshi may assign different probabilities than sportsbook analysts. It's common to see prediction markets reflect public sentiment and potentially identify value where sportsbooks might be less efficient in their pricing. Examining both can provide a more comprehensive view.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different spread outcomes. The price of each contract reflects the market's collective belief about the probability of that spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. As more traders participate and new information becomes available, the prices adjust, providing a dynamic and real-time assessment of the likely first half spread in the Rutgers-Northwestern game. The current market reflects the aggregated predictions of those trading on Kalshi.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official first half spread result from the Rutgers versus Northwestern football game will be used to determine which contracts pay out. The resolution will be based on the final, official spread as determined by the game's governing body. Traders holding contracts on the correct spread will receive a payout, while those on incorrect spreads will not. The final result will be publicly available following the conclusion of the first half.
Several factors could influence the price of this market before Oct 24, 2026. Any news regarding injuries to key players on either the Rutgers or Northwestern teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the market. Additionally, late-breaking news about team strategies or coaching decisions might cause traders to reassess their probabilities. Even significant betting activity in traditional sportsbooks could influence sentiment on Kalshi, as traders react to broader market movements.