TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 5:11 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Old Dominion and Georgia State. Each market corresponds to a specific margin by which either team could win in the first half, allowing participants to bet on various possible outcomes.
All markets resolve based solely on points scored during the first half of the Old Dominion vs Georgia State college football game scheduled for October 3, 2026. A market resolves to 'Yes' if the specified team wins by more than the stated point margin in that half. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official result. Should the game fail to start within the 48-hour window, all markets settle at a fair price, reflecting the uncertainty and preventing unresolved bets. These rules apply uniformly across all specified point differentials for both teams.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, which can sometimes differ from those offered by sportsbooks. Sportsbooks set their lines based on statistical models and the goal of balancing action on both sides, while this market is driven purely by individuals willing to buy or sell contracts based on their own analysis. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing this market to sportsbook odds can provide a valuable perspective on where public and informed opinion diverge.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. As more traders participate, the price adjusts to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price discovery process is dynamic, meaning the odds can change rapidly based on new information or shifts in sentiment. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the first half of the Old Dominion vs Georgia State game will be used to determine which contracts pay out. The resolution will be based on the official result as reported by a trusted sports data source. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not. The process is designed to be transparent and objective.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Old Dominion or Georgia State teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team's playing style, could also move the market. Furthermore, any late-breaking information about team strategies or coaching decisions could cause traders to adjust their positions. Public sentiment, as reflected in betting trends and media coverage, can also play a role in shaping the odds.