TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:08 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Rutgers or Maryland in the second half of their college football matchup. Each market corresponds to a specific point differential threshold that must be exceeded for the outcome to be considered successful.
All markets resolve based solely on points scored during the second half (including overtime) of the designated Rutgers vs Maryland college football game. For markets where Maryland is the favored team, resolution occurs if Maryland wins the second half by more than the specified point margin. Conversely, for markets where Rutgers is the favored team, resolution occurs if Rutgers wins the second half by more than the specified point margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the official final result of the second half. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds listed.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially in the lead-up to an event. Sportsbooks may incorporate biases or seek to profit from public perception, while this market aggregates the beliefs of many independent traders. However, it’s important to note that sportsbook odds are readily available and can be a useful data point when forming your own opinion. Discrepancies can emerge due to differing levels of information and analytical approaches.
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 probability of that spread occurring, as determined by supply and demand. As more traders believe a particular spread is likely, the price of contracts representing that spread will increase. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading volume indicate the level of confidence and activity surrounding each potential outcome. This dynamic pricing mechanism allows for real-time adjustments based on new information and changing sentiment.
This market resolves around Oct 17, 2026, with the outcome confirmed once the final point spread of the second half of the Rutgers vs Maryland game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. The final score difference will be compared to the various spreads offered in this market to determine which contracts will pay out. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not.
Several factors could influence the price movement 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 style of play, could also shift the odds. Finally, late-breaking news about team strategies or coaching decisions could also cause the market to react. Public sentiment, as reflected in betting patterns, will continue to shape the price until the game concludes.