TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Charlotte vs Ole Miss: 3rd Quarter Spread
kalshi

What is the result of Charlotte vs Ole Miss?

Volume:
$11,634

Charlotte wins 3Q by over 3.5 points

 - Kalshi

Charlotte wins 3Q by over 3.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 10:16 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

Charlotte wins 3Q by over 3.5 points

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,727
N/A
N/A
$2,727
Settled
Yes
kalshi

Charlotte wins 3Q by over 2.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$1,046
N/A
N/A
$1,046
Settled
Yes
kalshi

Ole Miss wins 3Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$3,389
N/A
N/A
$3,382
Settled
No
kalshi

Ole Miss wins 3Q by over 13.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$737
N/A
N/A
$737
Settled
No
kalshi

Ole Miss wins 3Q by over 2.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$496
N/A
N/A
$424
Settled
No
kalshi

Ole Miss wins 3Q by over 6.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$463
N/A
N/A
$421
Settled
No
kalshi

Ole Miss wins 3Q by over 16.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$420
N/A
N/A
$419
Settled
No
kalshi

Ole Miss wins 3Q by over 3.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$405
N/A
N/A
$375
Settled
No
kalshi

Ole Miss wins 3Q by over 7.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$399
N/A
N/A
$390
Settled
No
kalshi

Ole Miss wins 3Q by over 19.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$339
N/A
N/A
$339
Settled
No
kalshi

Ole Miss wins 3Q by over 23.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$312
N/A
N/A
$312
Settled
No
kalshi

Charlotte wins 3Q by over 6.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$301
N/A
N/A
$301
Settled
No
kalshi

Charlotte wins 3Q by over 7.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$301
N/A
N/A
$301
Settled
No
kalshi

Charlotte wins 3Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
Total markets: 14

Description

This set of markets focuses on predicting the point differential in the third quarter of a college football game between Charlotte and Ole Miss. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that quarter.

Kalshi

All markets resolve based solely on points scored during the third quarter of play in the Charlotte vs Ole Miss college football game scheduled for September 12, 2026. For markets where Ole Miss must win by a specified margin, resolution occurs only if Ole Miss outscores Charlotte by more than that margin in the third quarter. Conversely, markets requiring Charlotte to win resolve if Charlotte outscores Ole Miss by more than the stated margin in that quarter. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official third-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, meaning neither side wins or loses but receives a balanced settlement reflecting market expectations at the time of cancellation.

Frequently asked questions

On Kalshi, the dashboard for the Charlotte vs Ole Miss spread tracks the current price of contracts representing different point spreads for the third quarter. It displays a price history chart, allowing you to see how the market has fluctuated over time. You can also view the 24-hour volume, which currently stands at $5,687, and the total volume traded to date, which is $11,634. This provides a clear picture of market activity and sentiment surrounding the game's third-quarter spread.

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 traders to express their own beliefs about the likely outcome. If a significant discrepancy exists between this market and sportsbook lines, it could indicate that the crowd believes the sportsbook is mispricing the event. 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. 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. As more traders participate and new information becomes available, the prices adjust to reflect the collective assessment of the likely outcome. The current price indicates what traders are willing to pay or receive for a contract that pays out if the actual third-quarter spread falls within the specified range.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the third quarter of the Charlotte vs Ole Miss football game will be used to determine which contracts payout. The resolution will be based on official game statistics and will be publicly available shortly after the game concludes. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding contracts on incorrect spreads will not.

Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Charlotte or Ole Miss teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the market. Furthermore, any late-breaking information about team strategies or coaching decisions could influence trader sentiment and lead to price movements. Public perception, as reflected in polls or expert analysis, may also play a role.