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$154.8b

24H VOL:

$277,138,640

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2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

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4,526

PLATFORM COVERAGE:

5

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Science and Technology
Georgia Tech vs. Virginia Tech
predict
polymarket

What is the result of Georgia Tech vs. Virginia Tech?

Volume:
$125,153

Spread -8.5

 - Polymarket

Spread -8.5 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:59 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Spread -8.5

View
100%
50%
Yes 100¢No 0¢
—
N/A
$15,620
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 55.5

View
100%
Yes 100¢No 0¢
—
N/A
$15,201
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 53.5

View
100%
43%
Yes 100¢No 0¢
—
N/A
$2,306
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
100%
48%
Yes 100¢No 0¢
—
N/A
$1,990
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 57.5

View
100%
54%
Yes 100¢No 0¢
—
N/A
$1,112
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -6.5

View
100%
42%
Yes 100¢No 0¢
—
N/A
$666
N/A
N/A
N/A
Settled
Yes
polymarket

Virginia Tech O/U 32.5

View
100%
48%
Yes 100¢No 0¢
—
N/A
$318
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 51.5

View
100%
39%
Yes 100¢No 0¢
—
N/A
$128
N/A
N/A
N/A
Settled
Yes
polymarket

1Q O/U 7.5

View
100%
35%
Yes 100¢No 0¢
—
N/A
$111
N/A
N/A
N/A
Settled
Yes
polymarket

1Q O/U 10.5

View
100%
48%
Yes 100¢No 0¢
—
N/A
$111
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -4.5

View
100%
37%
Yes 100¢No 0¢
—
N/A
$111
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 49.5

View
100%
35%
Yes 100¢No 0¢
—
N/A
$100
N/A
N/A
N/A
Settled
Yes
polymarket

1H Spread -5.5

View
100%
50%
Yes 100¢No 0¢
—
N/A
$50
N/A
N/A
N/A
Settled
Yes
polymarket

Virginia Tech O/U 23.5

View
100%
20%
Yes 100¢No 0¢
—
N/A
$50
N/A
N/A
N/A
Settled
Yes
polymarket

1H Spread -2.5

View
100%
38%
Yes 100¢No 0¢
—
N/A
$50
N/A
N/A
N/A
Settled
Yes
polymarket

1H Spread -9.5

View
100%
63%
Yes 100¢No 0¢
—
N/A
$40
N/A
N/A
N/A
Settled
Yes
polymarket

2Q O/U 7.5

View
100%
17%
Yes 100¢No 0¢
—
N/A
$5
N/A
N/A
N/A
Settled
Yes
polymarket

Georgia Tech vs. Virginia Tech

View
0%
Yes 0¢No 100¢
—
N/A
$64,537
N/A
N/A
N/A
Settled
No
predict

Georgia Tech vs. Virginia Tech

View
0%
Yes 0¢No 100¢
—
$3,554
$320
N/A
N/A
N/A
Settled
No
polymarket

Spread -10.5

View
0%
43%
Yes 0¢No 100¢
—
N/A
$6,156
N/A
N/A
N/A
Settled
No
polymarket

Spread -16.5

View
0%
31%
Yes 0¢No 100¢
—
N/A
$3,577
N/A
N/A
N/A
Settled
No
polymarket

Spread -17.5

View
0%
28%
Yes 0¢No 100¢
—
N/A
$3,468
N/A
N/A
N/A
Settled
No
polymarket

O/U 63.5

View
0%
31%
Yes 0¢No 100¢
—
N/A
$2,950
N/A
N/A
N/A
Settled
No
polymarket

Spread -14.5

View
0%
35%
Yes 0¢No 100¢
—
N/A
$1,659
N/A
N/A
N/A
Settled
No
polymarket

O/U 69.5

View
0%
21%
Yes 0¢No 100¢
—
N/A
$1,000
N/A
N/A
N/A
Settled
No
Total markets: 25 of 215

Description

This prediction market group centers around the college football game between Georgia Tech and Virginia Tech on October 17th. Markets cover the game's outcome, point spreads, over/under totals, and various team/player statistics.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both Polymarket and Predict use the same core resolution logic based on official game results, overtime inclusion, tie resolution, and postponement/cancellation handling.Primary resolution logic: Official NCAA game results (e.g., NCAA.com)

Core resolution logic:

  • Markets resolve based on the official final score of the game.
  • Overtime is included in the final score.
  • A tie results in a 50/50 resolution.
  • Postponement suspends resolution until the game is completed.
  • Cancellation without a make-up game results in a 50/50 resolution.

Edge cases & clarifications:

  • Game Postponement: Markets will remain open until the game is completed. If a new date is not announced within a reasonable timeframe (determined by the platform), the market may be resolved based on platform discretion.
  • Game Cancellation: If the game is canceled entirely with no make-up game scheduled, the market will resolve to 50/50.
Timing: Resolution will occur as soon as official game results are available, typically within 24-48 hours of the game's completion.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

In the upcoming college football game between Georgia Tech and Virginia Tech, scheduled for October 17 at 3:30PM ET: This market will resolve to "Georgia Tech" if Georgia Tech win the game. This market will resolve to "Virginia Tech" if Virginia Tech win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between Georgia Tech and Virginia Tech, scheduled for October 17 at 3:30PM ET: This market will resolve to "Georgia Tech" if Georgia Tech win the game. This market will resolve to "Virginia Tech" if Virginia Tech win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Polymarket and Predict, this dashboard tracks the consensus view of the upcoming college football matchup between Georgia Tech and Virginia Tech. Currently, the combined volume across both platforms is $125,153, with $124,543 traded in the last 24 hours. This allows users to see how predictions are evolving and compare sentiment across different prediction markets. The dashboard aggregates data to provide insight into the probabilities assigned to various outcomes of the game, offering a comprehensive overview of the market’s expectations for the college football matchup.

Prediction market odds often reflect a different kind of information than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of many individuals, incentivized to be accurate. This can lead to discrepancies, particularly when public sentiment strongly diverges from expert analysis. Prediction markets are known for their ability to forecast events with accuracy, sometimes exceeding traditional methods. Examining both sources provides a more comprehensive understanding of potential outcomes for the college football matchup.

Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Predict may differ due to variations in user base, trading activity, and market design. Polymarket currently favors Virginia Tech (-6.5) with 100% chance, while Predict does not have a leading outcome at this time. These discrepancies can arise from differing levels of information available to traders on each platform, or simply from the inherent volatility of prediction markets. Furthermore, the liquidity and volume on each platform can influence price discovery, leading to temporary divergences in the perceived probabilities of the game’s outcome.

Several factors could influence the price of this market before resolution. Any significant news regarding player injuries, coaching changes, or team performance could shift trader sentiment. Unexpected weather forecasts impacting game conditions are also likely to move the market. Furthermore, major shifts in public opinion, perhaps driven by media coverage or social media trends, could influence trading activity. Monitoring these signals will be key to understanding the evolving probabilities surrounding the college football matchup.