TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
San Jose St. wins by over 6.5 points
- Kalshi
San Jose St. wins by over 6.5 points - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:20h:01m
$
This set of markets tracks the potential point differential in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point margin threshold that must be exceeded for the bet to pay out.
All markets resolve based on the official final score of the Northern Illinois vs San Jose St. college football game scheduled for Nov 7, 2026. For San Jose St. markets, resolution occurs if they win by more than the specified point margin (e.g., over 30.5 points). For Northern Illinois markets, resolution occurs if they win by more than the specified margin (e.g., over 1.5 points). If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve based on the final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the outcome.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially differing from those set by sportsbooks. Sportsbooks set lines to balance their risk and ensure profit, while this market is driven purely by individuals’ beliefs about the likely outcome. It’s common to see discrepancies, especially when public sentiment strongly deviates from the sportsbook’s initial assessment. Examining these differences can provide insights into where the crowd believes the value lies, compared to professional oddsmakers.
On Kalshi, the price of contracts for the Northern Illinois vs San Jose State spread is determined by supply and demand. Traders place bids (to buy) and asks (to sell), and the market price fluctuates until a match is found. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The higher the demand for a particular spread, the higher its price will climb, indicating a greater belief that it will occur. Conversely, lower demand leads to lower prices. This dynamic pricing mechanism ensures that the market reflects the most up-to-date predictions of all participants.
This market will resolve around Nov 8, 2026, and the outcome will be determined by the final point spread of the Northern Illinois vs San Jose State football game. The official result, as reported by a reputable sports data source, will be used to verify the winning outcome. This ensures that the market resolves based on a verifiable and objective measure, providing clarity and confidence in the process. The final score will be the deciding factor for this market.
Several factors could influence this market before the game is played. News regarding key player injuries for either Northern Illinois or San Jose State would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s style of play, could also shift expectations. Unexpected coaching decisions or significant shifts in public perception, driven by expert analysis or media coverage, could also impact trading activity and the price of contracts in this market.