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, 6:46 PM EST
Kalshi
These markets focus on predicting the margin of victory for either Georgia Tech or Virginia Tech specifically in the second half of their college football matchup, including any overtime periods. Each market corresponds to a different point differential threshold that must be exceeded for the bet to win.
The markets resolve based on the point differential in the second half (including overtime) of the Georgia Tech vs Virginia Tech college football game scheduled for October 17, 2026. For markets where Virginia Tech must win by a specified margin, the outcome is determined by whether Virginia Tech's second-half points exceed those of Georgia Tech by more than the stated threshold. Conversely, for markets where Georgia Tech must win by a specified margin, the resolution depends on whether Georgia Tech's second-half points surpass Virginia Tech's by more than the designated amount. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets will be settled at a fair price, taking into account all known information and circumstances up to that point. Only points scored during the second half and overtime count toward these resolutions.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially as the event approaches. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. Discrepancies can arise due to differing information, biases, or simply variations in modeling approaches. Comparing the two can offer valuable insights, but it’s important to remember that each represents a different form of forecasting.
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. Traders are incentivized to express their true beliefs about the outcome, leading to a dynamic and informative price discovery process. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by new information and shifts in sentiment among traders, creating a real-time assessment of the likely result.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second half of the Virginia Tech vs Georgia Tech game will be used to determine which contracts payout. The resolution will be based on the official result as reported by the governing body of college football, ensuring a transparent and verifiable outcome for all participants in this market.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Virginia Tech or Georgia Tech teams would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is expected during the game, could also impact trading activity. Additionally, late-breaking news about team strategies or coaching decisions, or even significant shifts in public perception based on pre-game analysis, could all contribute to price fluctuations in this market.