TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs Arizona St.: 3rd Quarter Winner
kalshi

What is the result of Baylor vs Arizona St.?

Volume:
$14,211

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 1:24 AM EST

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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

Baylor

View
100%
Yes 100¢No 0¢
—
N/A
$10,139
N/A
N/A
$8,511
Settled
Yes
kalshi

Arizona St.

0%
Yes 0¢No 100¢
—
N/A
$2,469
N/A
N/A
$2,075
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,603
N/A
N/A
$1,355
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Baylor and Arizona State. It provides a way to speculate on short-term performance during the third quarter of the matchup.

Kalshi

If Arizona St. wins the 3rd quarter of the Baylor vs Arizona St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Baylor wins the 3rd quarter of the Baylor vs Arizona St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Baylor vs Arizona St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs Arizona State 3rd quarter market tracks the current price of each possible outcome – which team will win the third quarter. You’ll also find a price history chart illustrating how the odds have shifted over time, providing insight into market sentiment. The 24-hour volume, currently at $14,211, indicates how much trading activity has occurred recently, while the total group volume stands at $14,211. This information helps traders assess the market's activity and potential for movement.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on models and public perception, while this market allows individuals to trade on their own beliefs, leading to a dynamic adjustment of probabilities. If a significant number of traders believe a sportsbook is mispricing an outcome, they can take the opposite position in this market, driving the price towards what they perceive as the true probability. This can result in prediction market odds being more accurate, particularly closer to the event.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, Baylor winning the third quarter or Arizona State winning the third quarter. The price of each contract represents the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and exchange contracts, the prices adjust to reflect the collective assessment of the event's likelihood. This dynamic pricing mechanism ensures the market reflects the most up-to-date information and expectations.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the third quarter of the Baylor vs Arizona State football game will determine the winning contract. The platform will verify the result against official game statistics and reporting to ensure accuracy. Traders holding the winning contract will receive a payout based on the final market price at resolution.

Several factors could influence the price of this market. Any news regarding key player injuries for either Baylor or Arizona State would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's conditions, could also shift expectations. Furthermore, updates on team strategies or coaching decisions, as well as public sentiment expressed through polls or expert analysis, can all contribute to price fluctuations in this market. Unexpected line movements in sportsbooks could also prompt traders to reassess their positions.