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$134b

24H VOL:

$107,351,958

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2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

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UTEP vs Oklahoma: 1st Quarter Spread
kalshi

What is the result of UTEP vs Oklahoma?

Volume:
$74,112

Oklahoma wins 1Q by over 13.5 points

 - Kalshi

Oklahoma wins 1Q by over 13.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 5, 2026

Closed: Sep 4, 8:40 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

Oklahoma wins 1Q by over 13.5 points

View
100%
Yes 100¢No 0¢
100¢
N/A
$18,805
N/A
N/A
$14,449
Settled
Yes
kalshi

Oklahoma wins 1Q by over 9.5 points

100%
44%
Yes 100¢No 0¢
100¢
N/A
$17,382
N/A
N/A
$15,952
Settled
Yes
kalshi

Oklahoma wins 1Q by over 10.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$11,811
N/A
N/A
$10,701
Settled
Yes
kalshi

Oklahoma wins 1Q by over 19.5 points

100%
96%
Yes 100¢No 0¢
100¢
N/A
$7,339
N/A
N/A
$6,979
Settled
Yes
kalshi

Oklahoma wins 1Q by over 7.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$5,780
N/A
N/A
$5,676
Settled
Yes
kalshi

Oklahoma wins 1Q by over 16.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$4,645
N/A
N/A
$3,153
Settled
Yes
kalshi

Oklahoma wins 1Q by over 6.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$2,285
N/A
N/A
$2,109
Settled
Yes
kalshi

Oklahoma wins 1Q by over 3.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$2,215
N/A
N/A
$2,178
Settled
Yes
kalshi

Oklahoma wins 1Q by over 2.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$846
N/A
N/A
$846
Settled
Yes
kalshi

Oklahoma wins 1Q by over 23.5 points

0%
31%
Yes 0¢No 100¢
100¢
N/A
$1,215
N/A
N/A
$1,155
Settled
No
kalshi

UTEP wins 1Q by over 6.5 points

0%
5%
Yes 0¢No 100¢
100¢
N/A
$361
N/A
N/A
$351
Settled
No
kalshi

UTEP wins 1Q by over 10.5 points

0%
5%
Yes 0¢No 100¢
100¢
N/A
$359
N/A
N/A
$359
Settled
No
kalshi

UTEP wins 1Q by over 7.5 points

0%
5%
Yes 0¢No 100¢
100¢
N/A
$358
N/A
N/A
$358
Settled
No
kalshi

UTEP wins 1Q by over 3.5 points

0%
5%
Yes 0¢No 100¢
100¢
N/A
$357
N/A
N/A
$347
Settled
No
kalshi

UTEP wins 1Q by over 2.5 points

0%
8%
Yes 0¢No 100¢
100¢
N/A
$354
N/A
N/A
$354
Settled
No
Total markets: 15

Description

This set of markets focuses on predicting the point differential in the first quarter of a college football game between UTEP and Oklahoma. Each market corresponds to a specific margin by which either team could win the quarter, allowing participants to bet on various possible outcomes.

Kalshi

The markets resolve based on the point differential in the first quarter of the UTEP vs Oklahoma college football game scheduled for September 4, 2026. For markets where Oklahoma wins by a specified margin, resolution occurs if Oklahoma's points exceed UTEP's by more than the stated threshold during the first quarter. Conversely, markets where UTEP wins resolve if UTEP's points exceed Oklahoma's by more than the given margin in the first quarter. All markets exclusively consider points scored in the first quarter; points from subsequent quarters are irrelevant. If the game is postponed but commences within 48 hours of the original start time, markets remain active and resolve according to the official result. Should the game fail to start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants.

Frequently asked questions

On Kalshi, the dashboard for the UTEP vs Oklahoma spread tracks the current price of contracts representing different point spreads for the first quarter of the game. You can view the historical price movement, allowing you to analyze how the perceived likelihood of each spread has changed over time. The dashboard also displays the 24-hour trading volume, currently at $61,991, and the total overall volume traded in this market, which is $74,112. This provides insight into market activity and how much interest traders have in various outcomes.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. If a significant discrepancy exists between this market and sportsbook lines, it could indicate differing opinions on the likely outcome or varying levels of information available to each group. It’s common to see prediction markets move faster to incorporate new information than traditional sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the probability of that spread 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. Traders are incentivized to provide accurate predictions, as they profit if their predictions are correct and lose if they are wrong. This dynamic process creates a market-driven assessment of the likely outcome, distinct from static odds offered by traditional sportsbooks.

This market resolves around Sep 5, 2026, with the outcome confirmed once the final point spread of the first quarter is verifiable from credible public reporting. The resolution will be based on the official result reported by the game’s governing body. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not. The precise details of the outcome are determined by the actual game results, not by any subjective assessment or external oracle.

Several signals could influence the price of this market before the game concludes. News regarding injuries to key players on either UTEP or Oklahoma could significantly shift expectations. Changes in weather forecasts, especially if they impact the style of play favored by either team, could also move the market. Late-breaking news about team strategies or coaching decisions might also affect trading activity. Finally, any significant public statements from analysts or experts offering strong opinions on the game’s likely outcome could influence trader sentiment.