TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

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Oklahoma vs Michigan: First Team to Score a TD
kalshi

What is the result of Oklahoma vs Michigan?

Volume:
$11,804

Michigan scores first TD

 - Kalshi

Michigan scores first TD - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 12, 2026

Closed: Sep 12, 1:01 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Michigan scores first TD

View
100%
58%
Yes 100¢No 0¢
100¢
N/A
$4,770
N/A
N/A
$4,260
Settled
Yes
kalshi

Oklahoma scores first TD

0%
71%
Yes 0¢No 100¢
100¢
N/A
$4,041
N/A
N/A
$3,683
Settled
No
kalshi

No team scores a TD

0%
Yes 0¢No 100¢
100¢
N/A
$2,993
N/A
N/A
$2,891
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score the first touchdown in an upcoming college football game between Oklahoma and Michigan. It includes scenarios where either team scores first or if no touchdown is scored at all during the game, including any overtime periods.

Kalshi

The market determines the outcome based on which team scores the first touchdown in the Oklahoma vs Michigan college football game scheduled for September 12, 2026, or if no touchdown is scored. All types of touchdowns—offensive, defensive, and special teams—are counted toward the resolution. If the first touchdown occurs in overtime, it still counts for the respective team's market. Should neither team score a touchdown throughout the entire game, including overtime, the "No team scores a TD" market resolves as the winner. Postponements are handled such that if the game commences within 48 hours of its original scheduled start time, the market remains open and resolves based on the official result. If the game does not start within this 48-hour window, the market resolves to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks and brand names belong to their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Oklahoma vs Michigan first TD market tracks the current odds for each team to score the first touchdown, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $9,596, and the total overall volume traded in this market, which is $11,804. This allows traders to monitor market sentiment and activity related to which team is favored to score first in the game. The dashboard provides a real-time view of how predictions are evolving.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on power rankings and expert analysis, while this market’s prices are driven by actual money being wagered. If a significant number of traders believe one team is more likely to score first, the odds will shift accordingly, potentially diverging from sportsbook lines. It’s common to see prediction markets more accurately reflect true probabilities as the event approaches, incorporating a broader range of information and perspectives than traditional sources.

This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team officially scores the first touchdown in the Oklahoma vs Michigan game, as determined by official game statistics. The platform will verify the result against reliable sources to ensure accuracy and finalize the market. Traders holding contracts for the team that scores first will receive a payout, while those holding contracts for the losing team will forfeit their investment.

Several factors could influence the price of this market. Any news regarding key player injuries on either the Oklahoma or Michigan teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to one team’s offensive style, could also impact trading activity. Additionally, late-breaking news about coaching strategies or team morale could shift trader sentiment. Finally, large volume trades from informed participants could quickly alter the odds, reflecting new information or insights about the game’s likely outcome.