TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 11:54 PM EST
Kalshi
This set of markets evaluates various thresholds of points scored in the first half of a college football game between James Madison and San Diego State. Each threshold represents a different level of scoring performance that traders can speculate on before the game begins.
All markets resolve based on the total points scored by both teams combined during the first half of the James Madison vs San Diego State college football game scheduled for September 19, 2026. Each market has a specific numerical threshold (ranging from 2.5 to 41.5 points); if the combined first-half score exceeds the threshold, the market resolves to Yes, otherwise No. For any game postponement, if play commences within 48 hours of the original scheduled start time, the market remains active and resolves based on the final official result. If the game does not start within this 48-hour window, all markets resolve to a fair price. Only points scored during the first half count toward these markets.
Often, prediction market odds reflect a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective wisdom of traders who are incentivized to be accurate. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probability of an event. If you believe the market is mispricing the outcome, you can capitalize on the difference by trading on Kalshi. It’s common to see prediction markets outperform traditional odds in their predictive accuracy.
On Kalshi, this market is priced through a continuous order book where traders submit bids and asks for contracts. The price of a contract represents the probability of the first half total being over or under the implied line. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their prices based on new information and their own analysis, leading to a dynamic and efficient price discovery process. The closer we get to the event, the more the price will likely reflect the perceived likelihood of the outcome, driven by informed traders.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final first-half total score of the James Madison vs San Diego State game will be used to determine whether the market settles on the 'over' or 'under' side. The official game statistics, as reported by a recognized sports data provider, will serve as the definitive source for the resolution. Traders holding contracts on the correct side will receive a payout of $1 per contract, minus any applicable fees.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either James Madison or San Diego State would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also shift the market. Furthermore, late-breaking news about team strategies or coaching decisions could influence trader sentiment. Public perception and betting trends from sportsbooks may also play a role, though this market is driven by independent analysis and trading activity on Kalshi.