TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Texas St. vs Texas: 4th Quarter Spread
kalshi

What is the result of Texas St. vs Texas?

Volume:
$3,617

Texas wins 4Q by over 2.5 points

 - Kalshi

Texas wins 4Q by over 2.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 6, 2026

Closed: Sep 5, 6:43 PM 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

Texas wins 4Q by over 2.5 points

View
100%
Yes 100¢No 0¢
100¢
N/A
$569
N/A
N/A
$569
Settled
Yes
kalshi

Texas wins 4Q by over 6.5 points

100%
46%
Yes 100¢No 0¢
100¢
N/A
$254
N/A
N/A
$253
Settled
Yes
kalshi

Texas wins 4Q by over 7.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$4
N/A
N/A
$4
Settled
Yes
kalshi

Texas wins 4Q by over 3.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$2
N/A
N/A
$2
Settled
Yes
kalshi

Texas St. wins 4Q by over 2.5 points

0%
29%
Yes 0¢No 100¢
100¢
N/A
$400
N/A
N/A
$360
Settled
No
kalshi

Texas wins 4Q by over 23.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$393
N/A
N/A
$393
Settled
No
kalshi

Texas St. wins 4Q by over 3.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$353
N/A
N/A
$300
Settled
No
kalshi

Texas St. wins 4Q by over 7.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$328
N/A
N/A
$328
Settled
No
kalshi

Texas St. wins 4Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$328
N/A
N/A
$328
Settled
No
kalshi

Texas wins 4Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$324
N/A
N/A
$324
Settled
No
kalshi

Texas wins 4Q by over 19.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
kalshi

Texas St. wins 4Q by over 6.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
kalshi

Texas wins 4Q by over 16.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$55
N/A
N/A
$55
Settled
No
kalshi

Texas wins 4Q by over 13.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$6
N/A
N/A
$6
Settled
No
Total markets: 14

Description

These markets focus on predicting the margin of victory for either Texas or Texas State specifically in the fourth quarter of their upcoming college football game. Each market corresponds to a different point threshold that must be exceeded for the bet to win.

Kalshi

All markets resolve based solely on points scored during the fourth quarter of play, excluding any overtime periods. For Texas to win a market, the Longhorns must outscore Texas State by more than the specified point margin in that quarter. Conversely, for Texas State to win a market, the Bobcats must outscore Texas by more than the stated margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets will instead resolve to a fair price, reflecting the uncertainty introduced by the delay. All markets are independent and resolve strictly based on fourth-quarter performance, with no consideration given to the overall game outcome or points scored in other quarters.

Frequently asked questions

On Kalshi, the dashboard for the Texas vs Texas St. spread tracks the current price of contracts representing different point spreads for the fourth quarter. You’ll find a price history chart illustrating how the market has fluctuated over time, along with the 24-hour trading volume, currently at $1,267. The total volume traded on this market is $3,617. This allows participants to gauge market sentiment and identify potential trading opportunities related to the anticipated margin of victory in the fourth quarter.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis from a diverse range of sources. This can sometimes lead to differences compared to sportsbook odds, which may be more influenced by factors like public betting patterns or the sportsbook's own risk management strategies. While sportsbooks set initial lines to balance action, this market allows traders to continuously adjust their expectations based on new information, potentially offering a more accurate forecast of the final result. It's important to remember that both represent probabilities, but are derived through different mechanisms.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the fourth quarter. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. As more traders buy contracts predicting a specific spread, the price of those contracts increases, and vice versa. 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 information and adjust its predictions accordingly, offering a real-time assessment of the likely outcome.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the fourth quarter of the Texas vs Texas St. game will be used to determine which contracts pay out. The market will settle based on the official result as reported by the governing sports authority, ensuring a transparent and verifiable outcome for all participants. Traders will then receive payouts based on their positions in the market.

Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either team would likely have a significant impact. Changes in weather conditions, particularly if they favor one team's playing style, could also shift the market. Late-breaking news about team strategies or coaching decisions might also cause movement. Finally, as the game progresses and early results become available, the market will react in real-time to the unfolding events, potentially experiencing substantial volatility.