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%
New Mexico St. over 2.5 points
- Kalshi
New Mexico St. over 2.5 points - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:22h:05m
$
This set of markets tracks how many points each team will score in an upcoming college football game. Each market corresponds to a specific point threshold, allowing participants to speculate on whether a team will exceed that threshold in the final score.
All markets resolve based on the official final point total scored by either Liberty or New Mexico State in their college football game scheduled for November 7, 2026. For any market where the specified team scores strictly more than the stated threshold (e.g., 'over X.Y points'), the market resolves to 'Yes.' If the game is postponed but commences within 48 hours of the original start time, all open markets remain active and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, determined under conditions outlined by the platform. These rules apply uniformly across all thresholds for both teams, ensuring consistent evaluation regardless of the point total benchmark.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows individuals to express their own informed opinions, which can lead to odds that diverge from traditional sportsbooks, especially as new information becomes available. It’s common to see prediction markets react more quickly to news and developments than sportsbooks, as the price adjusts with each trade. Comparing these odds can reveal where public sentiment differs from professional analysis.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing potential team total outcomes. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price fluctuates based on supply and demand, providing a dynamic assessment of the expected team totals. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. This creates a self-correcting mechanism that aims to reflect the true likelihood of each possible outcome in the Liberty-New Mexico State contest.
This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official team totals as reported by the governing body of the contest. The final scores for both Liberty and New Mexico State will be used to determine which contracts settle at 100 and which settle at 0. Traders holding contracts on the correct team total ranges will receive a payout, while those holding contracts on incorrect ranges will not. The market’s resolution will be publicly available on Kalshi.
Several signals or events could influence this market before resolution. Any news regarding key player injuries or suspensions for either Liberty or New Mexico State would likely cause significant price movement. Changes in weather forecasts, particularly if they impact the game’s conditions, could also shift expectations. Unexpected coaching decisions or strategic adjustments announced before the game could also impact trader sentiment. Finally, any late-breaking news regarding team morale or internal conflicts could influence how traders price the probability of different team total outcomes in this contest.