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Michigan St. vs UCLA: Team Receiving Touchdowns
kalshi

What is the result of Michigan St. vs UCLA?

Volume:
$1,290

UCLA: 3+

 - Kalshi

UCLA: 3+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 7:14 PM EST

kalshi

Kalshi

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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

UCLA: 3+

View
0%
Yes 0¢No 100¢
—
N/A
$639
N/A
N/A
$553
Settled
No
kalshi

UCLA: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$273
N/A
N/A
$218
Settled
No
kalshi

Michigan St.: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$158
N/A
N/A
$139
Settled
No
kalshi

UCLA: 4+

View
0%
Yes 0¢No 100¢
—
N/A
$116
N/A
N/A
$116
Settled
No
kalshi

Michigan St.: 3+

View
0%
Yes 0¢No 100¢
—
N/A
$104
N/A
N/A
$104
Settled
No
Total markets: 5

Description

This event tracks how many touchdowns are caught by players during a college football game between Michigan State and UCLA. It focuses specifically on passes that result in touchdowns, excluding those from fumble recoveries or two-point attempts. The outcome depends on whether either team reaches certain thresholds of such scoring plays.

Kalshi

All markets resolve based on the official number of receiving touchdowns scored by either Michigan State or UCLA in their game scheduled for October 24, 2026, including any overtime periods. A receiving touchdown is counted only when a player catches the ball and scores without being involved in a fumble recovery by another player; self-recovered fumbles that result in a score still count. Successful two-point conversions are excluded from all tallies. If the game is postponed but starts within 48 hours of the original kickoff time, markets remain active and resolve according to the final result. If the game does not commence within that window, all markets settle at a fair price. Kalshi explicitly disclaims any affiliation with the NCAA, and all team names and logos remain the property of their respective owners.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals expressing their beliefs with real money. It's common to see discrepancies, especially before significant events or when new information emerges. Examining the difference between the two can be insightful, though it's important to remember that both represent probabilities based on different methodologies. This market provides a unique view of potential game outcomes.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. As more traders participate and new information becomes available, the prices adjust accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new data and reflect changing expectations about the Michigan State vs UCLA game. The current price reflects the collective assessment of all traders on the platform.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be determined by which team(s) are officially recorded as receiving touchdowns during the Michigan State vs UCLA football game. Official game statistics will be used to verify the outcome. The platform will then settle the contracts based on whether the actual outcome matches the contracts purchased by traders. The outcome will be based on official game records, ensuring a transparent and verifiable resolution.

Several factors could influence this market before resolution. Any news regarding key player injuries for either Michigan State or UCLA would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring a strong passing or running game, could also impact trading activity. Unexpected coaching decisions or strategic shifts announced by either team could also shift probabilities. Finally, any late-breaking news or analysis from reputable sports analysts could sway trader sentiment and affect the prices in this market.