TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 10:38 PM EST
Kalshi
This set of markets focuses on predicting whether specific teams will exceed certain point thresholds in an upcoming college football game. Each market corresponds to a different scoring benchmark that must be surpassed for the bet to succeed. The outcomes are determined solely by the official game results.
All markets resolve based on the official final point totals for Tennessee and Georgia Tech in their college football game scheduled for September 12, 2026. For each market, if the specified team scores more than the stated point threshold (e.g., Georgia Tech over 6.5 points, Tennessee over 13.5 points), the market resolves to 'Yes.' If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point thresholds listed.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the likely team totals. If a significant discrepancy emerges between this market and sportsbook lines, it could indicate that prediction market traders possess information or insights not yet fully incorporated into the sportsbook’s pricing. It’s a useful comparison point for informed analysis.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of a specific team total occurring. As more traders buy contracts for a particular outcome, the price of those contracts increases, reflecting a higher perceived probability. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract represents the cost to hold one unit of that outcome, and the market aggregates these individual trades to determine the overall implied probabilities for each team’s total score. This dynamic pricing mechanism ensures the market reflects the collective intelligence of its participants.
This market resolves around Sep 13, 2026, with the outcome confirmed once the final team totals from the Tennessee versus Georgia Tech game are verifiable from credible public reporting. The resolution will be based on the official scores recorded by the governing body of college football. The market will determine which side – Tennessee or Georgia Tech – achieved a higher or lower total score than the contract price indicated. Traders holding contracts on the correct outcome will receive a payout of 1.0, while those holding contracts on the incorrect outcome will receive 0.0.
Several factors could influence the Tennessee-Georgia Tech team totals market. News regarding key player injuries on either team would likely cause significant movement, as would updates on weather conditions expected during the game. Changes in coaching strategies or unexpected lineup adjustments could also shift trader sentiment. Furthermore, any significant news related to team morale or internal conflicts could impact the market. As the game approaches, even seemingly minor developments can be amplified by traders, leading to price fluctuations in this market.